Integrating III-V, Si, and polymer waveguides for optical interconnects: RAPIDO

We present a vision for the hybrid integration of advanced transceivers at 1.3 μm wavelength, and the progress done towards this vision in the EU-funded RAPIDO project. The final goal of the project is to make five demonstrators that show the feasibility of the proposed concepts to make optical interconnects and packet-switched optical networks that are scalable to Pb/s systems in data centers and high performance computing. Simplest transceivers are to be made by combining directly modulated InP VCSELs with 12 μm SOI multiplexers to launch, for example, 200 Gbps data into a single polymer waveguide with 4 channels to connect processors on a single line card. For more advanced transceivers we develop novel dilute nitride amplifiers and modulators that are expected to be more power-efficient and temperatureinsensitive than InP devices. These edge-emitting III-V chips are flip-chip bonded on 3 μm SOI chips that also have polarization and temperature independent multiplexers and low-loss coupling to the 12 μm SOI interposers, enabling to launch up to 640 Gbps data into a standard single mode (SM) fiber. In this paper we present a number of experimental results, including low-loss multiplexers on SOI, zero-birefringence Si waveguides, micron-scale mirrors and bends with 0.1 dB loss, direct modulation of VCSELs up to 40 Gbps, ±0.25μm length control for dilute nitride SOA, strong band edge shifts in dilute nitride EAMs and SM polymer waveguides with 0.4 dB/cm loss.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Optoelectronics Research Centre, Research group: Semiconductor Technology and Applications, VTT Technical Research Centre of Finland, IBM Research, Vertilas GmbH, Scuola Superiore sant'Anna, Tyndall National Institute at National University of Ireland, Cork, Modulight Inc.
Contributors: Aalto, T., Harjanne, M., Offrein, B. J., Caër, C., Neumeyr, C., Malacarne, A., Guina, M., Sheehan, R. N., Peters, F. H., Melanen, P.
Publication date: 2016

Host publication information

Title of host publication: Optical Interconnects XVI
Publisher: SPIE
Article number: 97530D
ISBN (Print): 9781628419887

Publication series

Name: Proceedings of SPIE
Volume: 9753
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics
Keywords: electro absorption modulator, hybrid integration, optical interconnect, optical interposer, optoelectronics, polymer photonics, semiconductor optical amplifier, Silicon photonics, VCSEL, wavelength multiplexers

Bibliographical note

EXT="Melanen, Petri"

Source: Scopus
Source ID: 84975114015

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Digital predistortion for mitigating spurious emissions in spectrally agile radios

Spectrally non-contiguous transmissions pose serious transceiver design challenges due to the nonlinear PA. When two or more non-contiguous carriers with close proximity are amplified by the same PA, spurious emissions inside or in the vicinity of the transmitter RF band are created. These spurious emissions may violate emission limits or otherwise compromise network coverage and reliability. Lowering the transmit power is a straightforward remedy, but it will reduce throughput, coverage, and power efficiency of the device. To improve linearity without sacrificing performance, several DPD techniques have recently been proposed to target the spurious emissions explicitly. These techniques are designed to minimize the computational and hardware complexity of DPD, thus making them better suited for mobile terminals and other lowcost devices. In this article, these recent advances in DPD for non-contiguous transmission scenarios are discussed, with a focus on mitigating the spurious emissions in the concrete example case of non-contiguous dual-carrier transmission. The techniques are compared to more traditional DPD approaches in terms of their computational and hardware complexities, as well as linearization performance.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Wireless Communications and Positioning, Qualcomm Inc., Wireless Innovation Laboratory at Worcester Polytechnic Institute
Contributors: Abdelaziz, M., Fu, Z., Anttila, L., Wyglinski, A. M., Valkama, M.
Number of pages: 10
Pages: 60-69
Publication date: 1 Mar 2016
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 54
Issue number: 3
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2016): CiteScore 10.66 SJR 2.298 SNIP 4.768
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications
Source: Scopus
Source ID: 84963776001

Research output: Contribution to journalArticleScientificpeer-review

Blind estimation of speckle variance in synthetic aperture radar images

A task of blind estimation of multiplicative noise (speckle) variance in multi-look images acquired by radars with synthesized aperture array is considered. It is shown that there are several factors affecting accuracy of such estimation. The main of them are spatial correlation of the speckle, complexity of an analyzed image and peculiarities of a method used. Spatial and spectral domain approaches are analyzed. It is shown that for both approaches spatial correlation of the speckle is to be estimated and taken into account. Results for real life TerraSAR-X data are presented as illustrations and for analyzing methods' accuracy.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Tampere University of Technology, Department of Signal Processing, Research group: Computational Imaging-CI, Signal Processing Research Community (SPRC), National Aerospace University
Contributors: Abramova, V. V., Kozhemiakin, R., Abramov, S. K., Lukin, V. V., Zelensky, A. A., Egiazarian, K.
Publication date: 25 Jun 2015

Host publication information

Title of host publication: 2015 International Conference on Antenna Theory and Techniques: Dedicated to 95 Year Jubilee of Prof. Yakov S. Shifrin, ICATT 2015 - Proceedings
Publisher: The Institute of Electrical and Electronics Engineers, Inc.
ISBN (Print): 9781479985579
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications
Keywords: blind estimation, multi-look, SAR, speckle variance

Bibliographical note

EXT="Lukin, V. V."

Source: Scopus
Source ID: 84939434768

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Idea-space: A use case of collaborative course development in higher education

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Managing digital industrial transformation (mDIT), ESCP Europe Berlin, Ruhr West University of Applied Sciences, Vytautas Magnus University, Duale Hochschule Baden Württemberg, NCSR, Jyväskylän yliopisto
Contributors: AbuJarour, S., Pawlowski, J., Bick, M., Bagucanskyte, M., Frankenberg, A., Hudak, R., Makropoulos, C., Pappa, D., Pitsilis, V., Pirkkalainen, H., Tannhauser, A. C., Trepule, E., Vidalis, A., Volungeviciene, A.
Number of pages: 8
Pages: 149-156
Publication date: 2015

Host publication information

Title of host publication: Wissens-Gemeinschaften 2015
Publisher: TUDpress Verlag der Wissenschaften GmbH
ISBN (Electronic): 978-395908010-1
ASJC Scopus subject areas: Computer Science Applications, Information Systems
Source: Scopus
Source ID: 84959421920

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Noise minimized high resolution digital holographic microscopy applied to surface topography

The topography of surface relief gratings was studied by digital holographic microscopy. The applicability of the method for quantitative measurements of surface microstructure at nanoscale was demonstrated. The method for wavefront reconstruction of surface relief from a digital hologram recorded in off-axis configuration was also applied. The main feature is noise filtration due to the presence of noise in the recorded intensity distribution and the use of all orders of the hologram. Reconstruction results proved a better effectiveness of our approach for topography studying of relief grating patterned on a ChG As2S3 - Se nanomultilayers in comparison with standard Fourier Transform and Atom Force Microscope methods.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Signal Processing, Research group: Computational Imaging-CI, Institute of Applied Physics Academy of Sciences of Moldava, University of Stuttgart, St. Petersburg State University, Department of Signal Processing
Contributors: Achimova, E., Abaskin, V., Claus, D., Pedrini, G., Shevkunov, I., Katkovnik, V.
Number of pages: 6
Pages: 267-272
Publication date: 1 Mar 2018
Peer-reviewed: Yes

Publication information

Journal: Computer Optics
Volume: 42
Issue number: 2
ISSN (Print): 0134-2452
Ratings: 
  • Scopus rating (2018): CiteScore 2.37 SJR 0.535 SNIP 2.389
Original language: English
ASJC Scopus subject areas: Atomic and Molecular Physics, and Optics, Computer Science Applications, Electrical and Electronic Engineering
Keywords: Diffraction gratings, Digital holography, Digital image processing
Source: Scopus
Source ID: 85046122008

Research output: Contribution to journalArticleScientificpeer-review

Methodology to obtain the security controls in multi-cloud applications

What controls should be used to ensure adequate security level during operation is a non-trivial subject in complex software systems and applications. The problem becomes even more challenging when the application uses multiple cloud services which security measures are beyond the control of the application provider. In this paper, a methodology that enables the identification of the best security controls for multicloud applications whose components are deployed in heterogeneous clouds is presented. The methodology is based on application decomposition and modelling of threats over the components, followed by the analysis of the risks together with the capture of cloud business and security requirements. The methodology has been applied in the MUSA EU H2020 project use cases as the first step for building up the multi-cloud applications' security-aware Service Level Agreements (SLA). The identified security controls will be included in the applications' SLAs for their monitoring and fulfilment assurance at operation.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Automation Science and Engineering, Research group: Factory automation systems technology, Faculty of Engineering Sciences, Factory Automation Systems and Technologies Lab (FAST-Lab), Second University of Naples, ENEA/CREATE/Università Degli Studi Napoli Federico II, TECNALIA. ICT-European Software Institute. Parque Tecnológico de Bizkaia
Contributors: Afolaranmi, S. O., Gonzalez Moctezuma, L. E., Rak, M., Casola, V., Rios, E., Martinez Lastra, J. L.
Number of pages: 6
Pages: 327-332
Publication date: 2016

Host publication information

Title of host publication: CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science
Volume: 1
Publisher: SCITEPRESS
ISBN (Electronic): 9789897581823
ASJC Scopus subject areas: Computer Science (miscellaneous), Computer Science Applications, Software
Keywords: Cyber-security Methodologies, Multi-cloud, Security-by-design, Threat Modelling
Source: Scopus
Source ID: 84979747685

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Smartphone teleoperation for self-balancing telepresence robots

Self-balancing mobile platforms have recently been adopted in many applications thanks to their light-weight and slim build. However, inherent instability in their behaviour makes both manual and autonomous operation more challenging as compared to traditional self-standing platforms. In this work, we experimentally evaluate three teleoperation user interface approaches to remotely control a self-balancing telepresence platform: 1) touchscreen button user interface, 2) tilt user interface and 3) hybrid touchscreen-tilt user interface. We provide evaluation in quantitative terms based on user trajectories and recorded control data, and qualitative findings from user surveys. Both quantitative and qualitative results support our finding that the hybrid user interface (a speed slider with tilt turn) is a suitable approach for smartphone-based teleoperation of self-balancing telepresence robots. We also introduce a client-server based multi-user telepresence architecture using open source tools.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Computing Sciences
Contributors: Ainasoja, A. E., Pertuz, S., Kämäräinen, J.
Number of pages: 8
Pages: 561-568
Publication date: 2019

Host publication information

Title of host publication: VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Publisher: SCITEPRESS
Editors: Kerren, A., Hurter, C., Braz, J.
ISBN (Electronic): 9789897583544
ASJC Scopus subject areas: Computer Science Applications, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design
Keywords: Teleoperation, Telepresence, User Interface
Electronic versions: 
Source: Scopus
Source ID: 85068231086

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

The internet of Bio-Nano things

The Internet of Things (IoT) has become an important research topic in the last decade, where things refer to interconnected machines and objects with embedded computing capabilities employed to extend the Internet to many application domains. While research and development continue for general IoT devices, there are many application domains where very tiny, concealable, and non-intrusive Things are needed. The properties of recently studied nanomaterials, such as graphene, have inspired the concept of Internet of NanoThings (IoNT), based on the interconnection of nanoscale devices. Despite being an enabler for many applications, the artificial nature of IoNT devices can be detrimental where the deployment of NanoThings could result in unwanted effects on health or pollution. The novel paradigm of the Internet of Bio-Nano Things (IoBNT) is introduced in this paper by stemming from synthetic biology and nanotechnology tools that allow the engineering of biological embedded computing devices. Based on biological cells, and their functionalities in the biochemical domain, Bio-NanoThings promise to enable applications such as intra-body sensing and actuation networks, and environmental control of toxic agents and pollution. The IoBNT stands as a paradigm-shifting concept for communication and network engineering, where novel challenges are faced to develop efficient and safe techniques for the exchange of information, interaction, and networking within the biochemical domain, while enabling an interface to the electrical domain of the Internet.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, Wireless Communications and Positioning (WICO), University of Nebraska, Georgia Institute of Technology
Contributors: Akyildiz, I. F., Pierobon, M., Balasubramaniam, S., Koucheryavy, Y.
Number of pages: 9
Pages: 32-40
Publication date: 1 Mar 2015
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 53
Issue number: 3
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2015): CiteScore 8.15 SJR 2.225 SNIP 5.331
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications
Source: Scopus
Source ID: 84925851587

Research output: Contribution to journalArticleScientificpeer-review

A coordination-based brokerage architecture for multi-cloud resource markets

With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time trying to make profit. Often, cloud resources are advertised and brokered in a spot market style, i.e., traded for immediate delivery. This paper proposes an architecture for a brokerage model specifically for multi-cloud resource spot markets that integrates the resource brokerage function across several cloud providers. We use a tuple space architecture to facilitate coordination. This architecture supports specifically multiple cloud providers selling unused resources in the spot market. To support the matching process by finding the best match between customer requirements and providers, offers are matched with regard the lowest possible cost available for the customer in the market at the time of the request. The key role of this architecture is to provide the coordination techniques built on a tuple space, adapted to the cloud spot market.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Dublin City University, Free University of Bolzano-Bozen, School of Computing Edinburgh Napier University Edinburgh
Contributors: Aldawood, S., Fowley, F., Pahl, C., Taibi, D., Liu, X.
Number of pages: 8
Pages: 7-14
Publication date: 14 Oct 2016

Host publication information

Title of host publication: Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic): 9781509039463
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Information Systems
Keywords: Cloud Brokerage Architecture, Cloud Resources Market, Resource Brokerage, Spot Market, Tuple Space
Source: Scopus
Source ID: 85009829349

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Variable switching point predictive torque control with extended prediction horizon

This paper introduces the extension of the prediction horizon in the one-step variable switching point predictive torque control (VSP2TC). Even though in the majority of power electronics applications using model predictive control (MPC) based schemes, a prediction horizon of one suffices, the use of longer prediction horizons offers substantial performance benefits. To highlight this, the proposed algorithm is applied to a low voltage (LV) drive system, which comprises a two-level inverter and an induction machine (IM). As it is shown, by extending the prediction horizon, important drive quality indices, such as the torque ripple, and the total harmonic distortion (THD) of the stator currents are reduced. However, the computational effort required for solving the formulated optimization problem in real time can be overwhelming. The implementation of a branch-and-bound technique is introduced to front this tricky matter. Simulation results verify the performance of the presented control strategy.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Smart Energy Systems (SES), National Technical University of Athens, Technische Universitat Munchen
Contributors: Alevras, I., Karamanakos, P., Manias, S., Kennel, R.
Number of pages: 6
Pages: 2352-2357
Publication date: 18 Mar 2015

Host publication information

Title of host publication: 2015 IEEE International Conference on Industrial Technology, ICIT 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Edition: June
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications
Source: Scopus
Source ID: 84937723977

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Netmes: Assessing gene network inference algorithms by network-based measures

Gene regulatory network inference (GRNI) algorithms are essential for efficiently utilizing large-scale microarray datasets to elucidate biochemical interactions among molecules in a cell. Recently, the combination of network-based error measures complemented with an ensemble approach became popular for assessing the inference performance of the GRNI algorithms. For this reason, we developed a software package to facilitate the usage of such metrics. In this paper, we present netmes, an R software package that allows the assessment of GRNI algorithms. The software package netmes is available from the R-Forge web site https://r-forge.r-project.org/projects/netmes/.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Bahçeşehir University, Yildiz Technical University, UMIT - The Health and Life Sciences University, Computational Biology and Machine Learning Lab., Faculty of Medicine, Health and Life Sciences, Queen's University, Belfast, Northern Ireland
Contributors: Altay, G., Kurt, Z., Dehmer, M., Emmert-Streib, F.
Publication date: 7 Dec 2013
Peer-reviewed: Yes

Publication information

Journal: Evolutionary Bioinformatics
Volume: 10
ISSN (Print): 1176-9343
Ratings: 
  • Scopus rating (2013): CiteScore 1.23 SJR 0.565 SNIP 0.406
Original language: English
ASJC Scopus subject areas: Ecology, Evolution, Behavior and Systematics, Computer Science Applications, Genetics
Keywords: Gene regulatory networks, Global network-based measures, Local network-based measures, Metrics for assessing ensemble datasets, R package for the network-based measures
Source: Scopus
Source ID: 84893596910

Research output: Contribution to journalArticleScientificpeer-review

Inferring the conservative causal core of gene regulatory networks

Background: Inferring gene regulatory networks from large-scale expression data is an important problem that received much attention in recent years. These networks have the potential to gain insights into causal molecular interactions of biological processes. Hence, from a methodological point of view, reliable estimation methods based on observational data are needed to approach this problem practically.Results: In this paper, we introduce a novel gene regulatory network inference (GRNI) algorithm, called C3NET. We compare C3NET with four well known methods, ARACNE, CLR, MRNET and RN, conducting in-depth numerical ensemble simulations and demonstrate also for biological expression data from E. coli that C3NET performs consistently better than the best known GRNI methods in the literature. In addition, it has also a low computational complexity. Since C3NET is based on estimates of mutual information values in conjunction with a maximization step, our numerical investigations demonstrate that our inference algorithm exploits causal structural information in the data efficiently.Conclusions: For systems biology to succeed in the long run, it is of crucial importance to establish methods that extract large-scale gene networks from high-throughput data that reflect the underlying causal interactions among genes or gene products. Our method can contribute to this endeavor by demonstrating that an inference algorithm with a neat design permits not only a more intuitive and possibly biological interpretation of its working mechanism but can also result in superior results.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Queen's University, Belfast, Northern Ireland, Computational Biology and Machine Learning Lab., Faculty of Medicine, Health and Life Sciences
Contributors: Altay, G., Emmert-Streib, F.
Publication date: 28 Sep 2010
Peer-reviewed: Yes

Publication information

Journal: BMC Systems Biology
Volume: 4
Article number: 132
ISSN (Print): 1752-0509
Ratings: 
  • Scopus rating (2010): SJR 1.832 SNIP 1.057
Original language: English
ASJC Scopus subject areas: Molecular Biology, Structural Biology, Applied Mathematics, Modelling and Simulation, Computer Science Applications
Source: Scopus
Source ID: 77957141016

Research output: Contribution to journalArticleScientificpeer-review

Revealing differences in gene network inference algorithms on the network level by ensemble methods

Motivation: The inference of regulatory networks from large-scale expression data holds great promise because of the potentially causal interpretation of these networks. However, due to the difficulty to establish reliable methods based on observational data there is so far only incomplete knowledge about possibilities and limitations of such inference methods in this context. Results: In this article, we conduct a statistical analysis investigating differences and similarities of four network inference algorithms, ARACNE, CLR, MRNET and RN, with respect to local network-based measures. We employ ensemble methods allowing to assess the inferability down to the level of individual edges. Our analysis reveals the bias of these inference methods with respect to the inference of various network components and, hence, provides guidance in the interpretation of inferred regulatory networks from expression data. Further, as application we predict the total number of regulatory interactions in human B cells and hypothesize about the role of Myc and its targets regarding molecular information processing.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: School of Medicine, Computational Biology and Machine Learning
Contributors: Altay, G., Emmert-Streib, F.
Number of pages: 7
Pages: 1738-1744
Publication date: 25 May 2010
Peer-reviewed: Yes

Publication information

Journal: Bioinformatics
Volume: 26
Issue number: 14
Article number: btq259
ISSN (Print): 1367-4803
Ratings: 
  • Scopus rating (2010): SJR 3.661 SNIP 1.884
Original language: English
ASJC Scopus subject areas: Biochemistry, Molecular Biology, Computational Theory and Mathematics, Computer Science Applications, Computational Mathematics, Statistics and Probability, Medicine(all)
Source: Scopus
Source ID: 77954484005

Research output: Contribution to journalArticleScientificpeer-review

Chip-to-package wireless power transfer and its application to mm-Wave antennas and monolithic radiometric receivers

A chip-to-package wireless power transfer concept is applied to MMIC and antennas on LCP substrate is presented. Electromagnetic simulations show the feasibility of the proposed approach. As a benchmarking topology at the working frequency of 35.4 GHz, an Archimedean spiral antenna matched to a heterogeneous transformer, which couples the power received by the antenna to the chip, has been simulated. Transistor level circuit simulations are also proposed for the LNA and the detector, which together will constitute the system-on-chip (SoC) radiometer to be integrated in the LCP-SoP.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Sensing Systems for Wireless Medicine (MediSense), University of Perugia, Georgia Institute of Technology
Contributors: Aluigi, L., Thai, T. T., Tentzeris, M. M., Roselli, L., Alimenti, F.
Number of pages: 3
Pages: 202-204
Publication date: 2013

Host publication information

Title of host publication: RSW 2013 - 2013 IEEE Radio and Wireless Symposium - RWW 2013
Article number: 6486688
ISBN (Print): 9781467329309
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Electrical and Electronic Engineering, Communication
Keywords: Electromagnetic coupling, flexible electronics, heterogeneous integration, imaging, LNA, mm-wave, SoC, SoP
Source: Scopus
Source ID: 84876750099

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Face verification and recognition for digital forensics and information security

In this paper, we present an extensive evaluation of face recognition and verification approaches performed by the European COST Action MULTI-modal Imaging of FOREnsic SciEnce Evidence (MULTI-FORESEE). The aim of the study is to evaluate various face recognition and verification methods, ranging from methods based on facial landmarks to state-of-the-art off-the-shelf pre-trained Convolutional Neural Networks (CNN), as well as CNN models directly trained for the task at hand. To fulfill this objective, we carefully designed and implemented a realistic data acquisition process, that corresponds to a typical face verification setup, and collected a challenging dataset to evaluate the real world performance of the aforementioned methods. Apart from verifying the effectiveness of deep learning approaches in a specific scenario, several important limitations are identified and discussed through the paper, providing valuable insight for future research directions in the field.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Computing Sciences, Inst. of Info. Sci. and Technol. of the Natl. Res. Cncl. of Italy (ISTI-CNR), University of Milan Bicocca, Department of Informatics, Aristotle University of Thessaloniki, University of Applied Sciences of Southern Switzerland
Contributors: Amato, G., Falchi, F., Gennaro, C., Massoli, F. V., Passalis, N., Tefas, A., Trivilini, A., Vairo, C.
Publication date: 1 Jun 2019

Host publication information

Title of host publication: 7th International Symposium on Digital Forensics and Security, ISDFS 2019
Publisher: IEEE
Editors: Varol, A., Karabatak, M., Varol, C., Teke, S.
ISBN (Electronic): 9781728128276
ASJC Scopus subject areas: Health Informatics, Pathology and Forensic Medicine, Computer Networks and Communications, Computer Science Applications, Safety, Risk, Reliability and Quality
Keywords: Deep learning, Face verification, Forensics, Security, Surveillance

Bibliographical note

EXT="Tefas, Anastasios"

Source: Scopus
Source ID: 85070520041

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

A unifying perspective on proximity-based cellular-assisted mobile social networking

Today, the rapid adoption of mobile social networking is changing how and where humans communicate. As a result, in recent years we have been increasingly moving from physical (e.g., face-to-face) to virtual interaction. However, there is also a new emerging category of social applications that take advantage of both worlds, that is, using virtual interaction to enhance physical interaction. This novel form of networking is enabled by D2D communication between/among the laptops, smartphones, and wearables of persons in proximity of each other. Unfortunately, it has remained limited by the fact that most people are simply not aware of the many potential virtual opportunities in their proximity at any given time. This is a result of the very real digital privacy and security concerns surrounding direct communication between stranger devices. Fortunately, these concerns can be mitigated with the help of a centralized trusted entity, such as a cellular service provider, which can not only authenticate and protect the privacy of devices involved into D2D communication, but also facilitate the discovery of device capabilities and their available content. This article offers an extensive research summary behind this type of cellular-assisted D2D communication, detailing the enabling technology and its implementation, relevant usage scenarios, security challenges, and user experience observations from large-scale deployments.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, Department of Pervasive Computing, Research area: Software engineering
Contributors: Andreev, S., Hosek, J., Olsson, T., Johnsson, K., Pyattaev, A., Ometov, A., Olshannikova, E., Gerasimenko, M., Masek, P., Koucheryavy, Y., Mikkonen, T.
Number of pages: 9
Pages: 108-116
Publication date: 1 Apr 2016
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 54
Issue number: 4
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2016): CiteScore 10.66 SJR 2.298 SNIP 4.768
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications
Source: Scopus
Source ID: 84964277259

Research output: Contribution to journalArticleScientificpeer-review

Exploring synergy between communications, caching, and computing in 5G-grade deployments

Decisive progress in 5G mobile technology, fueled by a rapid proliferation of computation- hungry and delay-sensitive services, puts economic pressure on the research community to rethink the fundamentals of underlying networking architectures. Along these lines, the first half of this article offers a first-hand tutorial on the most recent advances in content-centric networking, emerging user applications, as well as enabling system architectures. We establish that while significant progress has been made along the individual vectors of communications, caching, and computing, together with some promising steps in proposing hybrid functionalities, the ultimate synergy behind a fully integrated solution is not nearly well understood. Against this background, the second half of this work carefully brings into perspective additional important factors, such as user mobility patterns, aggressive application requirements, and associated operator deployment capabilities, to conduct comprehensive system-level analysis. Furthermore, supported by a full-fledged practical trial on a live cellular network, our systematic findings reveal the most dominant factors in converged 5G-grade communications, caching, and computing layouts, as well as indicate the natural optimization points for system operators to leverage the maximum available benefits.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, Brno University of Technology, Carleton University
Contributors: Andreev, S., Galinina, O., Pyattaev, A., Hosek, J., Masek, P., Yanikomeroglu, H., Koucheryavy, Y.
Number of pages: 10
Pages: 60-69
Publication date: 1 Aug 2016
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 54
Issue number: 8
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2016): CiteScore 10.66 SJR 2.298 SNIP 4.768
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 84982290651

Research output: Contribution to journalArticleScientificpeer-review

The Internet of Things and Sensor Networks

The articles in this special section focus on the Internet of Things (IoT) and sensor networks. IoT is being embraced by numerous companies across most industries. This transformation is all about the adoption of digital technologies underpinning essential societal and human activities, while at its heart is the digital transformation of businesses. As more Internet-connected devices are being deployed to automate and collect various data, the adoption of IoT efficiently boosts business life all over the world, which is further supported by breakthrough innovations. The latter are remarkable as they employ the IoT technologies to mitigate global warming, save water, increase yields in smart farming, provide a backbone for autonomous vehicles, and many more.

General information

Publication status: Published
MoE publication type: B1 Article in a scientific magazine
Organisations: Electrical Engineering, University Politehnica of Bucharest
Contributors: Andreev, S., Dobre, C.
Number of pages: 1
Pages: 70-70
Publication date: 1 Sep 2019
Peer-reviewed: No

Publication information

Journal: IEEE Communications Magazine
Volume: 57
Issue number: 9
ISSN (Print): 0163-6804
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 85072773996

Research output: Contribution to journalEditorialScientific

Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities

As the ratification of 5G New Radio technology is being completed, enabling network architectures are expected to undertake a matching effort. Conventional cloud and edge computing paradigms may thus become insufficient in supporting the increasingly stringent operating requirements of intelligent IoT devices that can move unpredictably and at high speeds. Complementing these, the concept of fog emerges to deploy cooperative cloud-like functions in the immediate vicinity of various moving devices, such as connected and autonomous vehicles, on the road and in the air. Envisioning the gradual evolution of these infrastructures toward an increasingly denser geographical distribution of fog functionality, we in this work put forward the vision of dense moving fog for intelligent IoT applications. To this aim, we review the recent powerful enablers, outline the main challenges and opportunities, and corroborate the performance benefits of collaborative dense fog operation in a characteristic use case fe.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Electrical Engineering, Research group: Wireless Communications and Positioning, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, University of Hong Kong, King’s College London, King's College London
Contributors: Andreev, S., Petrov, V., Huang, K., Lema, M. A., Dohler, M.
Number of pages: 8
Pages: 34-41
Publication date: 1 May 2019
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 57
Issue number: 5
Article number: 8648449
ISSN (Print): 0163-6804
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 85062145622

Research output: Contribution to journalArticleScientificpeer-review

Future of Ultra-Dense Networks Beyond 5G: Harnessing Heterogeneous Moving Cells

For the past 40 years, the cellular industry has been relying on static radio access deployments with gross over-provisioning. However, to meet the exponentially growing volumes of irregular data, the very notion of a cell will have to be rethought to allow them be (re-)configured on-demand and in an automated manner. This work puts forward a vision of moving networks to match dynamic user demand with network access supply in beyond-5G cellular systems. The resulting adaptive and flexible network infrastructures will leverage intelligent capable devices (e.g., cars and drones) by employing appropriate user involvement schemes. This work is a recollection of our efforts in this space with the goal to contribute a comprehensive research agenda. Particular attention is paid to quantifying the network performance scaling and session continuity gains with ultra-dense moving cells. Our findings argue for non-incremental benefits of integrating moving access points on a par with conventional (static) cellular access infrastructure.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Electrical Engineering, Research group: Wireless Communications and Positioning, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, King’s College London, Carleton University
Contributors: Andreev, S., Petrov, V., Dohler, M., Yanikomeroglu, H.
Number of pages: 27
Pages: 66-92
Publication date: 1 Jun 2019
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 57
Issue number: 6
Article number: 8722593
ISSN (Print): 0163-6804
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 85067074122

Research output: Contribution to journalArticleScientificpeer-review

Novel D2D-based relaying method for multicast services over 3GPP LTE-A systems

The fast proliferation of 'smart' devices with enhanced capabilities and, at the same time, new multimedia streaming services (i.e., providing high-resolution video and audio content) push the network operator to handle a tremendous increase in the traffic load that is difficult to cope with the current wireless/cellular infrastructures. For that reason, in this paper we consider a novel method based on multi-hop Device-to-Device (D2D) communications, where direct links are established among User Equipments (UEs) in proximity within a Long Term Evolution-Advanced (LTE-A)-based network. The aim of the proposed mechanism is to improve the multimedia multicast sessions and transmissions in terms of throughput and mean download time per user by delivering ubiquitous and reliable connectivity to the larger number of UEs. Our system-level analysis highlights that via proximity-based transmissions among the users, it is possible to provide multimedia content with higher data rates and lower delays w.r.t. The legacy cellular solutions.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Electronics and Communications Engineering, University Mediterranea of Reggio
Contributors: Araniti, G., Orsino, A., Militano, L., Putrino, G., Andreev, S., Koucheryavy, Y., Iera, A.
Publication date: 19 Jul 2017

Host publication information

Title of host publication: 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2017
Publisher: IEEE
ISBN (Electronic): 9781509049370
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Electrical and Electronic Engineering, Media Technology, Communication
Keywords: 5G, D2D, LTE, MBMS, Multicast services, Networking and QoS, Performance evaluation

Bibliographical note

jufoid=72046
INT=elt,"Orsino, A."

Source: Scopus
Source ID: 85027253110

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Body area nanonetworks with molecular communications in nanomedicine

Recent developments in nano and biotechnology enable promising therapeutic nanomachines (NMs) that operate on inter- or intracellular area of human body. The networks of such therapeutic NMs, body area nanonetworks (BAN 2s), also empower sophisticated nanomedicine applications. In these applications, therapeutic NMs share information to perform computation and logic operations, and make decisions to treat complex diseases. Hence, one of the most challenging subjects for these sophisticated applications is the realization of BAN 2 through a nanoscale communication paradigm. In this article, we introduce the concept of a BAN 2 with molecular communication, where messenger molecules are used as communication carrier from a sender to a receiver NM. The current state of the art of molecular communication and BAN 2 in nanomedicine applications is first presented. Then communication theoretical efforts are reviewed, and open research issues are given. The objective of this work is to introduce this novel and interdisciplinary research field and highlight major barriers toward its realization from the viewpoint of communication theory.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Wireless Communications and Positioning (WICO), Next-Generation Wireless Communications Laboratory (NWCL), Waterford Institute of Technology
Contributors: Atakan, B., Akan, O. B., Balasubramaniam, S.
Number of pages: 7
Pages: 28-34
Publication date: Jan 2012
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 50
Issue number: 1
Article number: 6122529
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2012): CiteScore 5.73 SJR 2.524 SNIP 5.384
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications
Source: Scopus
Source ID: 84855682134

Research output: Contribution to journalArticleScientificpeer-review

Wireless sensing and identification of passive electromagnetic sensors based on millimetre-wave FMCW RADAR

The wireless measurement of various physical quantities from the analysis of the RADAR Cross Sections variability of passive electromagnetic sensors is presented. A millimetre-wave Frequency-Modulated Continuous-Wave RADAR is used for both remote sensing and wireless identification of sensors. Long reading ranges (up to some decameters) may be reached at the expense of poor measurement resolution (typically 10%).

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Sensing Systems for Wireless Medicine (MediSense), University of Toulouse, INP, LAAS-CNRS, IPDIA, Georgia Institute of Technology, CNRS UMR 5218, IPB
Contributors: Aubert, H., Chebila, F., Jatlaoui, M., Thai, T., Hallil, H., Traille, A., Bouaziz, S., Rifai, A., Pons, P., Menini, P., Tentzeris, M.
Number of pages: 6
Pages: 398-403
Publication date: 2012

Host publication information

Title of host publication: 2012 IEEE International Conference on RFID-Technologies and Applications, RFID-TA 2012
Article number: 6404554
ISBN (Print): 9781467346566
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications
Source: Scopus
Source ID: 84873122062

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Railway fastener inspection by real-time machine vision

In this paper, a real-time railway fastener detection system using a high-speed laser range finder camera is presented. First, an extensive analysis of various methods based on pixel-wise and histogram similarities are conducted on a specific railway route. Then, a fusing stage is introduced which combines least correlated approaches also considering the performance upgrade after fusing. Then, the resulting method is tested on a larger database collected from a different railway route. After observing repeated successes, the method is implemented on NI LabVIEW and run real-time with a high-speed 3-D camera placed under a railway carriage designed for railway quality inspection.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Signal Processing, Research group: Video, Middle East Technical University, Electrical and Electronics Engineering Department
Contributors: Aytekin, C., Rezaeitabar, Y., Dogru, S., Ulusoy, I.
Number of pages: 7
Pages: 1101-1107
Publication date: 1 Jul 2015
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume: 45
Issue number: 7
ISSN (Print): 1083-4427
Ratings: 
  • Scopus rating (2015): CiteScore 3.3 SJR 1.273 SNIP 2.189
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Human-Computer Interaction, Software, Control and Systems Engineering, Electrical and Electronic Engineering
Keywords: High-speed laser range finder, railway fastener detection, railway inspection
Source: Scopus
Source ID: 84932638036

Research output: Contribution to journalArticleScientificpeer-review

Urban 3D segmentation and modelling from street view images and LiDAR point clouds

3D urban maps with semantic labels and metric information are not only essential for the next generation robots such autonomous vehicles and city drones, but also help to visualize and augment local environment in mobile user applications. The machine vision challenge is to generate accurate urban maps from existing data with minimal manual annotation. In this work, we propose a novel methodology that takes GPS registered LiDAR (Light Detection And Ranging) point clouds and street view images as inputs and creates semantic labels for the 3D points clouds using a hybrid of rule-based parsing and learning-based labelling that combine point cloud and photometric features. The rule-based parsing boosts segmentation of simple and large structures such as street surfaces and building facades that span almost 75% of the point cloud data. For more complex structures, such as cars, trees and pedestrians, we adopt boosted decision trees that exploit both structure (LiDAR) and photometric (street view) features. We provide qualitative examples of our methodology in 3D visualization where we construct parametric graphical models from labelled data and in 2D image segmentation where 3D labels are back projected to the street view images. In quantitative evaluation we report classification accuracy and computing times and compare results to competing methods with three popular databases: NAVTEQ True, Paris-Rue-Madame and TLS (terrestrial laser scanned) Velodyne.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Signal Processing, Research group: Vision, Nokia
Contributors: Babahajiani, P., Fan, L., Kämäräinen, J., Gabbouj, M.
Number of pages: 16
Pages: 679–694
Publication date: 2017
Peer-reviewed: Yes

Publication information

Journal: Machine Vision and Applications
Volume: 28
Issue number: 7
ISSN (Print): 0932-8092
Ratings: 
  • Scopus rating (2017): CiteScore 2.62 SJR 0.485 SNIP 1.601
Original language: English
ASJC Scopus subject areas: Software, Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Science Applications
Keywords: LiDAR, Point cloud, Robotics, Semantic segmentation, Street view, Urban 3D

Bibliographical note

EXT="Babahajiani, Pouria"

Source: Scopus
Source ID: 85019692066

Research output: Contribution to journalArticleScientificpeer-review

Guest editorial special issue on the internet of nano things

The six papers in this special section focus on the Internet of nanotechnology things. While researchers are currently investigating these challenges to develop fully functional nano communication systems, a question remains as to whether they can represent an extended communication network that is part of the broader Internet. These papers address new solutions for the Internet of Nano Things. The Internet of Things paradigm has transformed the way we operate our personal and professional lives, it is driving our economy and will continue to enable many new opportunities in broad research areas. As this pervasive and ubiquitous interconnection of our everyday life appliances continues into the future, new types of devices enabled by nano and biotechnology promise to push engineering to previously unexplored application domains, where the exchange of information and access from/to the broader Internet for their monitoring and control are even more essential. The research on nanoscale communication and networks aims to develop systems for interconnecting these novel devices at the nanoscale, i.e., the Internet of Nano Things.

General information

Publication status: Published
MoE publication type: B1 Article in a scientific magazine
Organisations: Department of Electronics and Communications Engineering, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, Nano Communication Centre, State University of New York, University of Nebraska - Lincoln
Contributors: Balasubramaniam, S., Jornet, J. M., Pierobon, M., Koucheryavy, Y.
Number of pages: 3
Pages: 1-3
Publication date: 1 Feb 2016
Peer-reviewed: No

Publication information

Journal: IEEE Internet of Things Journal
Volume: 3
Issue number: 1
ISSN (Print): 2327-4662
Ratings: 
  • Scopus rating (2016): CiteScore 9.9 SJR 1.447 SNIP 5.896
Original language: English
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Hardware and Architecture, Information Systems, Signal Processing, Information Systems and Management
Source: Scopus
Source ID: 84959329564

Research output: Contribution to journalArticleScientific

Biological principles for future Internet architecture design

Currently, a large number of activities on Internet redesign are being discussed in the research community. While today's Internet was initially planned as a datagram-oriented communication network among research facilities, it has grown and evolved to accommodate unexpected diversity in services and applications. For the future Internet this trend is anticipated to continue even more. Such developments demand that the architecture of the new-generation Internet be designed in a dynamic, modular, and adaptive way. Features like these can often be observed in biological processes that serve as inspiration for designing new cooperative architectural concepts. Our contribution in this article is twofold. First, unlike previous discussions on biologically inspired network control mechanisms, we do not limit ourselves to a single method, but consider ecosystems and coexisting environments of entities that can cooperate based on biological principles. Second, we illustrate our grand view by not only taking inspiration from biology in the design process, but also sketching a possible way to implement biologically driven control in a future Internet architecture.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Wireless Communications and Positioning (WICO), Waterford Institute of Technology, Osaka University, University of Cambridge
Contributors: Balasubramaniam, S., Leibnitz, K., Lio, P., Botvich, D., Murata, M.
Number of pages: 9
Pages: 44-52
Publication date: Jul 2011
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 49
Issue number: 7
Article number: 5936154
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2011): CiteScore 4.97 SJR 1.976 SNIP 5.011
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 79960029644

Research output: Contribution to journalArticleScientificpeer-review

Wireless Communications for Optogenetics-Based Brain Stimulation: Present Technology and Future Challenges

The ability to decipher brain functions and understand the neuronal communication networking properties to develop innovative solutions to treat neurodegenerative diseases remains one of the biggest challenges in biomedicine. Since the early days, numerous solutions have been proposed for BMI, largely concentrating on the use of tethered electrodes that are inserted into the brain to either stimulate or suppress neural activities. In recent years, the field of optogenetics has provided a new alternative of utilizing light to stimulate genetically engineered neurons. While the original approach proposed the use of tethered optical cables inserted into the skull to transfer light into the brain for stimulation, numerous advances have been made to incorporate wireless technologies that will allow these devices to be attached to the skull or implanted in the brain. This article presents a review on the current technologies that have been proposed for different wireless optogenetics solutions, ranging from devices that are head mounted to miniature devices that can be embedded deep in the brain. We focus on a comparative analysis of the architecture and structure of the devices, the wireless technology used for signaling to the unit, as well as the energy consumption profile for each of the devices. Finally, the article presents future challenges to further miniaturize wireless optogenetic devices, concentrating specifically on the communication properties.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Electronics and Communications Engineering, Waterford Institue of Technology, State University of New York
Contributors: Balasubramaniam, S., Wirdatmadja, S. A., Barros, M. T., Koucheryavy, Y., Stachowiak, M., Jornet, J. M.
Number of pages: 7
Pages: 218-224
Publication date: 1 Jul 2018
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 56
Issue number: 7
Article number: 8419204
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2018): CiteScore 11.27 SJR 2.373 SNIP 4.681
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 85051078230

Research output: Contribution to journalArticleScientificpeer-review

OFDM radar with LTE waveform: Processing and performance

Nokia Mobile Networks, Ulm, Germany This paper addresses the processing principles and performance of OFDM based radar, with particular focus on the LTE mobile network base-stations and the use of the LTE downlink transmit waveform for radar/sensing purposes. We specifically address the problem stemming from the unused subcarriers, within the transmit signal passband, and their impact on the frequency domain radar processing. We also formulate and adopt a computationally efficient interpolation approach to mitigate the effects of such empty subcarriers in the radar processing. We evaluate the target range and velocity estimation performance through computer simulations, and show that high-quality target detection can be achieved, with LTE waveform, when combined with the interpolation approach. Impacts of the different LTE carrier bandwidths and number of transmitted LTE sub-frames are also evaluated, together with aggregating up to 5 individual 20 MHz LTE carriers.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Electrical Engineering, Research group: Wireless Communications and Positioning, Nokia Mobile Networks
Contributors: Barneto, C. B., Anttila, L., Fleischer, M., Valkama, M.
Publication date: 14 May 2019

Host publication information

Title of host publication: 2019 IEEE Radio and Wireless Symposium, RWS 2019
Publisher: IEEE COMPUTER SOCIETY PRESS
Article number: 8714410
ISBN (Electronic): 9781538659441

Publication series

Name: IEEE Radio and Wireless Symposium, RWS
ISSN (Print): 2164-2958
ISSN (Electronic): 2164-2974
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Electrical and Electronic Engineering, Communication
Keywords: Joint communications and sensing, LTE, OFDM, Radar, Rf convergence
Electronic versions: 

Bibliographical note

jufoid=57478

Source: Scopus
Source ID: 85068660156

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Visual decision support for business ecosystem analysis

This study comparatively evaluates the effectiveness of three visualization methods (list, matrix, network) and the influence of data complexity, task type, and user characteristics on decision performance in the context of business ecosystem analysis. We pursue this objective using an exploratory study with 14 prototypical users (e.g. executives, analysts, investors, and policy makers). The results show that in low complexity contexts, decision performance between visual representations differ but not substantially. In high complexity contexts, however, decision performance suffers significantly if visual representations are not appropriately matched to task types. Our study makes several theoretical and practical contributions. Theoretically, we extend cognitive fit theory by investigating the impact of business ecosystem task type and complexity. Managerially, our study contributes to the relatively underexplored, but emerging area of the design of business ecosystem intelligence tools and presentation of business ecosystem data for the purpose of decision making. We conclude with future research opportunities.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Mathematics, Research group: MAT Intelligent Information Systems Laboratory, Tennenbaum Institute & School of Interactive Computing Georgia Institute of Technology 85 Fifth Street NW Atlanta, VTT Technical Research Centre of Finland, mediaX and H*STAR Stanford University Stanford
Contributors: Basole, R. C., Huhtamäki, J., Still, K., Russell, M. G.
Number of pages: 12
Pages: 271-282
Publication date: 15 Dec 2016
Peer-reviewed: Yes

Publication information

Journal: Expert Systems with Applications
Volume: 65
ISSN (Print): 0957-4174
Ratings: 
  • Scopus rating (2016): CiteScore 4.7 SJR 1.343 SNIP 2.446
Original language: English
ASJC Scopus subject areas: Engineering(all), Computer Science Applications, Artificial Intelligence
Keywords: Business ecosystem, Cognitive fit theory, Data complexity, Decision support, Information visualization
Source: Scopus
Source ID: 84984633268

Research output: Contribution to journalArticleScientificpeer-review

A perceptual quality metric for high-definition stereoscopic 3D video

The use of 3D video is growing in several fields such as entertainment, military simulations, medical applications. However, the process of recording, transmitting, and processing 3D video is prone to errors thus producing artifacts that may affect the perceived quality. Nowadays a challenging task is the definition of a new metric able to predict the perceived quality with low computational complexity in order to be used in real-time applications. The research in this field is very active due to the complexity of the analysis of the influence of stereoscopic cues. In this paper we present a novel stereoscopic metric based on the combination of relevant features able to predict the subjective quality rating in a more accurate way.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Signal Processing, Research group: 3D MEDIA, Signal Processing Research Community (SPRC), Universita' degli Studi Roma TRE
Contributors: Battisti, F., Carli, M., Stramacci, A., Boev, A., Gotchev, A.
Publication date: 2015

Host publication information

Title of host publication: Image Processing: Algorithms and Systems XIII
Publisher: SPIE
Article number: 939916
ISBN (Print): 9781628414899

Publication series

Name: SPIE Conference Proceedings
Volume: 9399
ASJC Scopus subject areas: Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics
Keywords: Quality metric, Stereoscopic 3D video, Video transmission
Electronic versions: 
Source: Scopus
Source ID: 84928485494

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Deep p-Fibonacci scattering networks

Recently, the use of neural networks for image classification has become widely spread. Thanks to the availability of increased computational power, better performing architectures have been designed, such as the Deep Neural networks. In this work, we propose a novel image representation framework exploiting the Deep p- Fibonacci scattering network. The architecture is based on the structured p-Fibonacci scattering over graph data. This approach allows to provide good accuracy in classification while reducing the computational complexity. Experimental results demonstrate that the performance of the proposed method is comparable to state-of-the-art unsupervised methods while being computationally more efficient.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Signal Processing, University “Roma Tre”
Contributors: Battisti, F., Carli, M., De Paola, E., Egiazarian, K.
Publication date: 2018

Host publication information

Title of host publication: Electronic Imaging : Image Processing: Algorithms and Systems XVI
Publisher: Society for Imaging Science and Technology
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Science Applications, Human-Computer Interaction, Software, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics

Bibliographical note

jufoid=84313
EXT="Battisti, F."
EXT="Carli, M."

Source: Scopus
Source ID: 85052873638

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Magnetomechanical coupled FE simulations of rotating electrical machines

Purpose - The purpose is to implement and compare different approaches for modelling the magnetostriction phenomenon in iron sheet used in rotating electrical machines. Design/methodology/approach - In the force-based approach, the magnetostriction is modelled as a set of equivalent forces, which produce the same deformation of the material as the magnetostriction strains. These forces among other magnetic forces are computed from the solution of the finite element (FE) field computation and used as loads for the displacement-based mechanical FE analysis. In the strain-based approach, the equivalent magnetostrictive forces are not needed and an energy-based model is used to define magnetomechanically coupled constitutive equations of the material. These equations are then space-discretised and solved with the FE method for the magnetic field and the displacements. Findings - It is found that the equivalent forces method can reproduce the displacements and strains of the structure but it results in erroneous stress states. The energy-based method has the ability to reproduce both the stress and strains correctly; thus enabling the analysis of stress-dependent quantities such as the iron losses and the magnetostriction itself. Research limitations/implications - The investigated methods do not account for hysteresis and other dynamic effects. They also require long computation times. With the available computing resources, the computation time does not present any problem as far as they are not used in everyday design procedures but the modelling of dynamic effect needs to be elaborated. Originality/value - The developed and implemented methods are verified with measurements and simulation experiments and applied to as complex structure as an electrical machine. The problems related to the different approaches are investigated and explained through simulations. © Emerald Group Publishing Limited.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Mechanical Engineering and Industrial Systems, Life Cycle Effectiveness of the Built Environment (LCE@BE), Smart Energy Systems (SES), Aalto University
Contributors: Belahcen, A., Fonteyn, K., Kouhia, R., Rasilo, P., Arkkio, A.
Number of pages: 16
Pages: 1484-1499
Publication date: 2013
Peer-reviewed: Yes

Publication information

Journal: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Volume: 32
Issue number: 5
Article number: 17095978
ISSN (Print): 0332-1649
Ratings: 
  • Scopus rating (2013): CiteScore 0.55 SJR 0.215 SNIP 0.6
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Computational Theory and Mathematics, Applied Mathematics
Keywords: Coupled systems, Electrical equipment, Finite element simulation, Iron, Iron losses, Magnetoelasticity, Stress, Stress analysis

Bibliographical note

Contribution: organisation=ede,FACT1=1<br/>Portfolio EDEND: 2013-10-29<br/>Publisher name: Emerald Group Publishing

Source: researchoutputwizard
Source ID: 1975

Research output: Contribution to journalArticleScientificpeer-review

Uncertainty propagation of iron loss from characterization measurements to computation of electrical machines

Purpose - The purpose of this paper is to find out how uncertainties in the characterization of magnetic materials propagate through identification and numerical simulation to the computation of iron losses in electrical machines. Design/methodology/approach - The probabilistic uncertainties in the iron losses are modelled with the spectral approach using chaos polynomials. The Sobol indices are used for the global sensitivity analysis. The machine is modelled with a 2D finite element method and the iron losses are computed with a previously developed accurate method. Findings - The uncertainties propagate in different ways to the different components of losses, i.e. eddy current, hysteresis, and excess losses. The propagation is also different depending on the investigated region of the machine, i.e. Stator or rotor teeth, yokes, tooth tips. Research limitations/implications - The method does not account for uncertainties related to the manufacturing process, which might result in even larger variability. Practical implications - A major implication of the findings is that the identification of iron loss parameters at low frequencies does not affect the loss variability. The identification with high-frequency measurement is very important for the rotor tooth tips. The variability in the excess loss parameters is of low impact. Originality/value - The presented results are of importance for the magnetic material manufacturers and the electrical machine designers. The manufacturers can plan the measurement and identification procedures as to minimize the output variability of the parameters. The designers of the machine can use the result and the presented procedures to estimate the variability of their design.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Smart Energy Systems (SES), Aalto University, L2EP, Université Lille 1, L2EP, Arts et Metiers Paris Tech
Contributors: Belahcen, A., Rasilo, P., Nguyen, T. T., Clénet, S.
Number of pages: 13
Pages: 624-636
Publication date: 2015
Peer-reviewed: Yes

Publication information

Journal: COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Volume: 34
Issue number: 3
ISSN (Print): 0332-1649
Ratings: 
  • Scopus rating (2015): CiteScore 0.68 SJR 0.231 SNIP 0.554
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Computational Theory and Mathematics, Applied Mathematics
Keywords: Electrical machine, Finite element methods, Iron losses, Uncertainty estimation
Source: Scopus
Source ID: 84929258660

Research output: Contribution to journalArticleScientificpeer-review

High-content screening data management for drug discovery in a small- to medium- size laboratory: Results of a collaborative pilot study focused on user expectations as indicators of effectiveness

High-content screening (HCS) technology provides a powerful vantage point to approach biological problems; it allows analysis of cell parameters, including changes in cell or protein movement, shape, or texture. As part of a collaborative pilot research project to improve bioscience research data integration, we identified HCS data management as an area ripe for advancement. A primary goal was to develop an integrated data management and analysis system suitable for small- to medium-size HCS programs that would improve research productivity and increase work satisfaction. A system was developed that uses Labmatrix, a Webbased research data management platform, to integrate and query data derived from a Cellomics STORE database. Focusing on user expectations, several barriers to HCS productivity were identified and reduced or eliminated. The impact of the project on HCS research productivity was tested through a series of 18 lab-requested integrated data queries, 7 of which were fully enabled, 7 partially enabled, and 4 enabled through data export to standalone data analysis tools. The results are limited to one laboratory, but this pilot suggests that through an "implementation research" approach, a network of small- to medium-size laboratories involved in HCS projects could achieve greater productivity and satisfaction in drug discovery research.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Prostate cancer research center (PCRC), Wilmer Eye Institute, Fraunhofer Center for Experimental Software Engineering, BioFortis, Inc., University of Texas Health Science Center at Houston, Universite' Pierre et Marie Curie, Sorbonne, France, 13.12.2011, Johns Hopkins School of Medicine
Contributors: Berlinicke, C. A., Ackermann, C. F., Chen, S. H., Schulze, C., Shafranovich, Y., Myneni, S., Patel, V. L., Wang, J., Zack, D. J., Lindvall, M., Bova, G. S.
Number of pages: 11
Pages: 255-265
Publication date: 2012
Peer-reviewed: Yes

Publication information

Journal: JALA: JOURNAL OF LABORATORY AUTOMATION
Volume: 17
Issue number: 4
ISSN (Print): 2211-0682
Ratings: 
  • Scopus rating (2012): CiteScore 0.93 SJR 0.485 SNIP 0.633
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Medical Laboratory Technology
Keywords: Bioscience laboratory data management research, Drug discovery, High-content screening, Implementation research, Vision research
Source: Scopus
Source ID: 84868231968

Research output: Contribution to journalArticleScientificpeer-review

Wearable and implantable antennas for wireless body-centric sensing systems

In this poster abstract, we present recent advances on implantable and wearable antennas for wireless body-centric sensing systems. Prominent examples of such systems are the wireless brainmachine interface (BMI) system and wearable embroidered antennas. In the poster, we present more detailed simulation and measurement results.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research group: Wireless Identification and Sensing Systems Research Group, Department of Electronics and Communications Engineering, Sensing Systems for Wireless Medicine (MediSense), Nano Communication Centre, Berkeley, Electrical Engineering Department, University of California, Los Angeles (UCLA)
Contributors: Björninen, T., Moradi, E., Koski, K., Sydänheimo, L., Ukkonen, L., Muller, R., Ledochowitsch, P., Rabaey, J. M., Rahmat-Samii, Y.
Number of pages: 1
Pages: 288
Publication date: 29 Oct 2013

Host publication information

Title of host publication: BODYNETS 2013 - 8th International Conference on Body Area Networks
Publisher: ICST
ISBN (Electronic): 9781936968893
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Artificial Intelligence
Source: Scopus
Source ID: 84947068176

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data

The Multisensor Time–FrequencySignal Processing (MTFSP) MATLAB package is an analysis tool for multichannel non-stationary signals collected from an array of sensors. By combining array signal processing for non-stationary signals and multichannel high resolution time–frequency methods, MTFSP enables applications such as cross-channel causality relationships, automated component separation and direction of arrival estimation, using multisensor time–frequency distributions (MTFDs). MTFSP can address old and new applications such as: abnormality detection in biomedical signals, source localization in wireless communications or condition monitoring and fault detection in industrial plants. It allows e.g. the reproduction of the results presented in Boashash and Aïssa-El-Bey (in press) [2].

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: University of Queensland
Contributors: Boashash, B., Aïssa-El-Bey, A., Al-Sa'd, M. F.
Pages: 53-58
Publication date: 2018
Peer-reviewed: Yes

Publication information

Journal: SoftwareX
Volume: 8
ISSN (Print): 2352-7110
Ratings: 
  • Scopus rating (2018): CiteScore 11.56
Original language: English
ASJC Scopus subject areas: Software, Computer Science Applications
Keywords: Automated component separation, Blind source separation, Cross-channel causality analysis, Direction of arrival, Multisensor time–frequency analysis, Non-stationary array processing
Source: Scopus
Source ID: 85041238142

Research output: Contribution to journalArticleScientificpeer-review

Method for Simulating Dose Reduction in Digital Breast Tomosynthesis

This work proposes a new method of simulating dose reduction in digital breast tomosynthesis (DBT), starting from a clinical image acquired with a standard radiation dose. It considers both signal-dependent quantum and signal-independent electronic noise. Furthermore, the method accounts for pixel crosstalk, which causes the noise to be frequency-dependent, thus increasing the simulation accuracy. For an objective assessment, simulated and real images were compared in terms of noise standard deviation, signal-to-noise ratio (SNR) and normalized noise power spectrum (NNPS). A two-alternative forced-choice (2-AFC) study investigated the similarity between the noise strength of low-dose simulated and real images. Six experienced medical physics specialists participated on the study, with a total of 2,160 readings. Objective assessment showed no relevant trends with the simulated noise. The relative error in the standard deviation of the simulated noise was less than 2&#x0025; for every projection angle. The relative error of the SNR was less than 1.5&#x0025;, and the NNPS of the simulated images had errors less than 2.5&#x0025;. The 2-AFC human observer experiment yielded no statistically significant difference (p&#x0003D;0.84) in the perceived noise strength between simulated and real images. Furthermore, the observer study also allowed the estimation of a dose difference at which the observer perceived a just-noticeable difference (JND) in noise levels. The estimated JND value indicated that a change of 17&#x0025; in the current-time product was sufficient to cause a noticeable difference in noise levels. The observed high accuracy, along with the flexible calibration, make this method an attractive tool for clinical image-based simulations of dose reduction.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Signal Processing, Research group: Signal and Image Restoration-RST
Contributors: Borges, L. R., Guerrero, I., Bakic, P. R., Foi, A., Maidment, A. D., Vieira, M. A.
Pages: 2331-2342
Publication date: 2017
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Medical Imaging
Volume: 36
Issue number: 11
ISSN (Print): 0278-0062
Ratings: 
  • Scopus rating (2017): CiteScore 6.6 SJR 1.895 SNIP 2.86
Original language: English
ASJC Scopus subject areas: Software, Radiological and Ultrasound Technology, Computer Science Applications, Electrical and Electronic Engineering
Keywords: Biomedical imaging, Breast, Calibration, digital breast tomosynthesis, dose reduction, Electronic noise, Estimation, Image reconstruction, quantum noise, Signal to noise ratio, Standards
Electronic versions: 
Source: Scopus
Source ID: 85023177059

Research output: Contribution to journalArticleScientificpeer-review

PETMEI 2011: The 1st international workshop on pervasive eye tracking and mobile eye-based interaction

Recent developments in mobile eye tracking equipment and automated eye movement analysis point the way toward unobtrusive eye-based human-computer interfaces that are pervasively usable in everyday life. We call this new paradigm pervasive eye tracking - continuous eye monitoring and analysis 24/7. PETMEI 2011 provides a forum for researcher from human-computer interaction, context-aware computing, and eye tracking to discuss techniques and applications that go beyond classical eye tracking and stationary eye-based interaction. We aim to discuss the implications of pervasive eye tracking for context-aware computing and to identify the key research challenges of mobile eye-based interaction. The long-term goal is to create a strong interdisciplinary research community linking these research fields together and to establish the workshop as the premier forum for research on pervasive eye tracking and mobile eye-based interaction.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Augmented Human Activities (AHA), Lancaster University, Clemson University
Contributors: Bulling, A., Duchowski, A. T., Majaranta, P.
Number of pages: 2
Pages: 627-628
Publication date: 2011

Host publication information

Title of host publication: UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing
ISBN (Print): 9781450309103
ASJC Scopus subject areas: Computational Theory and Mathematics, Computer Science Applications
Keywords: activity and context recognition, cognition-awareness, eye movement analysis, eye tracking, eye-based interaction
Source: Scopus
Source ID: 80054089504

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

The magical world of metamaterials

We review experimental and theoretical studies performed on left-handed metamaterials (LHM). The metamaterials exhibit quiet unusual electromagnetic properties such as negative refraction, negative phase velocity, subwavelength focusing, subwavelength cavities and enhanced transmission.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Nanotechnology Research Center, Bilkent University
Contributors: Caglayan, H., Ozbay, E.
Publication date: 2009

Host publication information

Title of host publication: Photonic Materials, Devices, and Applications III
Volume: 7366
Article number: 73660X
ISBN (Print): 9780819476401

Publication series

Name: Proceedings of SPIE
Publisher: SPIE
Volume: 7366
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: Left-handed metamaterial, Metamaterials, Negative refractive index, Superlens

Bibliographical note

EXT="Caglayan, Humeyra"

Source: Scopus
Source ID: 70349983117

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

An image generator platform to improve cell tracking algorithms simulation of objects of various morphologies, kinetics and clustering

Several major advances in Cell and Molecular Biology have been made possible by recent advances in livecell microscopy imaging. To support these efforts, automated image analysis methods such as cell segmentation and tracking during a time-series analysis are needed. To this aim, one important step is the validation of such image processing methods. Ideally, the "ground truth" should be known, which is possible only by manually labelling images or in artificially produced images. To simulate artificial images, we have developed a platform for simulating biologically inspired objects, which generates bodies with various morphologies and kinetics and, that can aggregate to form clusters. Using this platform, we tested and compared four tracking algorithms: Simple Nearest-Neighbour (NN), NN with Morphology and two DBSCAN-based methods. We show that Simple NN works well for small object velocities, while the others perform better on higher velocities and when clustering occurs. Our new platform for generating new benchmark images to test image analysis algorithms is openly available at (http://griduni.uninova.pt/Clustergen/ClusterGen-v1.0.zip).

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Signal Processing, Research group: Laboratory of Biosystem Dynamics-LBD, Campus FCT-UNL
Contributors: Canelas, P., Martins, L., Mora, A., S. Ribeiro, A., Fonseca, J.
Number of pages: 12
Pages: 44-55
Publication date: 2016

Host publication information

Title of host publication: SIMULTECH 2016 - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Publisher: SCITEPRESS
ISBN (Electronic): 9789897581991
ASJC Scopus subject areas: Modelling and Simulation, Computational Theory and Mathematics, Computer Science Applications, Information Systems
Keywords: Cell Tracking, Cluster Tracking, Microscopy, Synthetic Time-lapse Image Simulation
Source: Scopus
Source ID: 84991211006

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

A system for real-time detection and tracking of vehicles from a single car-mounted camera

A novel system for detection and tracking of vehicles from a single car-mounted camera is presented. The core of the system are high-performance vision algorithms: the WaldBoost detector [1] and the TLD tracker [2] that are scheduled so that a real-time performance is achieved. The vehicle monitoring system is evaluated on a new dataset collected on Italian motorways which is provided with approximate ground truth (GT0) obtained from laser scans. For a wide range of distances, the recall and precision of detection for cars are excellent. Statistics for trucks are also reported. The dataset with the ground truth is made public.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research Community on Data-to-Decision (D2D), Advanced Technology Division, Czech Technical University in Prague
Contributors: Caraffi, C., Vojir, T., Trefný, J., Šochman, J., Matas, J.
Number of pages: 8
Pages: 975-982
Publication date: 2012

Host publication information

Title of host publication: 2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012
Article number: 6338748
ISBN (Print): 9781467330640
ASJC Scopus subject areas: Automotive Engineering, Mechanical Engineering, Computer Science Applications
Source: Scopus
Source ID: 84871239330

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

A probability-based approach to modeling the risk of unauthorized propagation of information in on-line social networks

The unauthorized propagation of information is an important problem in the Internet, especially because of the increasing popularity of On-line Social Networks. To address this issue, many access control mechanisms have been proposed so far, but there is still a lack of techniques to evaluate the risk of unauthorized flow of information within social networks. This paper introduces a probability-based approach to modeling the likelihood that information propagates from one social network user to users who are not authorized to access it. The approach is demonstrated via an example, to show how it can be applied in practical cases.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Università degli Studi Dell'Insubria
Contributors: Carminati, B., Ferrari, E., Morasca, S., Taibi, D.
Number of pages: 11
Pages: 51-61
Publication date: 2011

Host publication information

Title of host publication: CODASPY'11 - Proceedings of the 1st ACM Conference on Data and Application Security and Privacy
ISBN (Print): 9781450304665
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications
Keywords: Access control, Information leakage, Privacy, Social networks
Source: Scopus
Source ID: 79952798687

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Bio-inspired service management framework: Green data-centres case study

The internet is evolving into a full-scale distributed service platform, offering a plethora of services from communications to business, entertainment, social connectivity and much more. The range of services and applications offered is diversifying, with new applications constantly emerging. For example, utility-based computing (e.g. HPC and cloud computing) which relies heavily on data-centre resources. These services will be more dynamic and sophisticated, providing a range of complex capabilities, which puts further burden on datacentres, in terms of supporting and managing these services. At the same time, society is becoming acutely aware of the significant energy burden the communications industry, and in particular data-centres, are becoming. With these trends in mind we propose a biologically inspired service framework that supports services which can autonomously carry out management functions. We then apply this framework to address the emerging problem of a sustainable future internet by autonomously migrating services to greener locations.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Wireless Communications and Positioning (WICO), Waterford Institute of Technology, Telecommunications Software and Systems Group (TSSG), University of Massachusetts Boston, Imperial College London and Nanyang Technological University
Contributors: Carroll, R., Balasubramaniam, S., Suzuki, J., Lee, C., Donnelly, W., Botvich, D.
Number of pages: 15
Pages: 278-292
Publication date: 2013
Peer-reviewed: Yes

Publication information

Journal: International Journal of Grid and Utility Computing
Volume: 4
Issue number: 4
ISSN (Print): 1741-847X
Ratings: 
  • Scopus rating (2013): CiteScore 0.81 SJR 0.176 SNIP 0.858
Original language: English
ASJC Scopus subject areas: Management Information Systems, Computer Science Applications, Applied Mathematics
Keywords: Bio-inspired services, Genetic algorithm, Green data-centres
Source: Scopus
Source ID: 84886912413

Research output: Contribution to journalArticleScientificpeer-review

Bio-inspired service management framework: Green data-centres case study

Following the huge growth in usage over the last 10 years, the Internet has become a critical business and social tool. In the future however, this popularity will continue to rise, with the Internet evolving into a full scale distributed service platform, offering a plethora of services from communications to business, entertainment and much more. These services will be more dynamic and sophisticated providing a range of complex capabilities. However, this dynamic service environment will lead to overwhelming management problems if not dealt with adequately. At the same time, society is now acutely aware of the significant energy burden the communications industry is becoming. With these two trends in mind we propose a biologically-inspired service framework which supports services intelligently solving a number of management problems. We then as a case study application, use this framework to address the new, emerging problem of a sustainable future internet by migrating services to new, greener locations.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Wireless Communications and Positioning (WICO), Waterford Institute of Technology
Contributors: Carroll, R., Balasubramaniam, S., Botvich, D., Donnelly, W.
Number of pages: 6
Pages: 226-231
Publication date: 2011

Host publication information

Title of host publication: Proceedings - 25th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2011
Article number: 5763678
ISBN (Print): 9780769543383
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications
Keywords: Bio-inspired Services, Genetic Algorithm, Green Data-centres
Source: Scopus
Source ID: 79957554186

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Towards a conceptual framework for privacy protection in the use of interactive 360° video surveillance

Interactive 360° video technology has not been embraced for surveillance purposes despite its ability to eliminate blind spots, which is an important attribute of video surveillance. Further, privacy invasion due to video surveillance has a negative impact, and this urges for attention. Hence, the paper authors considered these two aspects and proposed a conceptual design framework with its rationale for privacy protection in use within the infrastructure of the interactive 360° video surveillance system. This conceptual integration framework takes into account the next essential factors: i) the utilization of the positive characteristics of 360° video to improve surveillance; ii) the protection of people's privacy; iii) the assistance needed in crime investigation and forensics; and iv) the ease and cost-effectiveness for deployment. These are factors of paramount significance for public safety and social order and they can be guaranteed with proactive approaches of design, based on the latest developments of Internet of Things technology and digital watermarking advancements.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Pervasive Computing, Research area: Information security, University of Tampere, Monash University
Contributors: Chaudhary, S., Berki, E., Nykänen, P., Zolotavkin, Y., Helenius, M., Kela, J.
Publication date: 23 Feb 2017

Host publication information

Title of host publication: 2016 22nd International Conference on Virtual System & Multimedia (VSMM)
Publisher: IEEE
ISBN (Electronic): 9781467389938
ASJC Scopus subject areas: Computer Science Applications, Human-Computer Interaction, Media Technology, Radiology Nuclear Medicine and imaging
Keywords: conceptual framework, Interactive 360° video surveillance, Internet of Things, literature review, privacy and safety, security, steganography and digital watermarking

Bibliographical note

EXT="Chaudhary, Sunil"

Source: Scopus
Source ID: 85016023783

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

A Primal Neural Network for Online Equality-Constrained Quadratic Programming

This paper aims at solving online equality-constrained quadratic programming problem, which is widely encountered in science and engineering, e.g., computer vision and pattern recognition, digital signal processing, and robotics. Recurrent neural networks such as conventional GradientNet and ZhangNet are considered as powerful solvers for such a problem in light of its high computational efficiency and capability of circuit realisation. In this paper, an improved primal recurrent neural network and its electronic implementation are proposed and analysed. Compared to the existing recurrent networks, i.e. GradientNet and ZhangNet, our network can theoretically guarantee superior global exponential convergence. Robustness performance of our such neural model is also analysed under a large model implementation error, with the upper bound of stead-state solution error estimated. Simulation results demonstrate theoretical analysis on the proposed model, which also verify the effectiveness of the proposed model for online equality-constrained quadratic programming.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Signal Processing, Research group: Vision, Shanghai Institute of Ceramics Chinese Academy of Sciences, Institute of Automation Chinese Academy of Sciences
Contributors: Chen, K., Zhang, Z.
Number of pages: 8
Pages: 381–388
Publication date: 2018
Peer-reviewed: Yes

Publication information

Journal: Cognitive Computation
Volume: 10
Issue number: 2
ISSN (Print): 1866-9956
Ratings: 
  • Scopus rating (2018): CiteScore 5.05 SJR 1.06 SNIP 1.898
Original language: English
ASJC Scopus subject areas: Computer Vision and Pattern Recognition, Computer Science Applications, Cognitive Neuroscience
Keywords: Global exponential convergence, Online equality-constrained quadratic programming, Recurrent neural networks, Robustness analysis
Source: Scopus
Source ID: 85030320446

Research output: Contribution to journalArticleScientificpeer-review

Multi-physics modeling and simulation of a frequency doubling antenna sensor for passive wireless strain sensing

This research studies multi-physics simulation of a frequency doubling antenna sensor for wireless strain measurement. The frequency doubling technology allows easy distinguishing of backscattered passive sensor signal (at the doubled frequency 2) from environmental reflection (at original reader interrogation frequency). Upon bonding to a base structure, because strain/deformation causes resonance frequency change of the antenna sensor, the passive wireless antenna sensor can be used to measure strain in the underlying base structure. To accurately model the mechanical and electromagnetic behaviors of the frequency doubling antenna sensor, a multiphysics coupled simulation approach is proposed. For simulating both the matching network performance and the antenna behavior under strain/deformation, two commercial software packages, COMSOL and ADS, are combined to leverage the strength of each package.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Sensing Systems for Wireless Medicine (MediSense), Georgia Institute of Technology, Georgia Institute of Technology, School of Electrical and Computer Engineering
Contributors: Cho, C., Yi, X., Wang, Y., Tentzeris, M. M.
Number of pages: 9
Pages: 864-872
Publication date: 2015

Host publication information

Title of host publication: Structural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015
Volume: 2
Publisher: DEStech Publications
ISBN (Electronic): 9781605951119
ASJC Scopus subject areas: Computer Science Applications, Health Information Management
Source: Scopus
Source ID: 84945541585

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Compressive strain measurement using RFID patch antenna sensors

In this research, two radiofrequency identification (RFID) antenna sensor designs are tested for compressive strain measurement. The first design is a passive (battery-free) folded patch antenna sensor with a planar dimension of 61mm × 69mm. The second design is a slotted patch antenna sensor, whose dimension is reduced to 48mm × 44mm by introducing slots on antenna conducting layer to detour surface current path. A three-point bending setup is fabricated to apply compression on a tapered aluminum specimen mounted with an antenna sensor. Mechanics-electromagnetics coupled simulation shows that the antenna resonance frequency shifts when each antenna sensor is under compressive strain. Extensive compression tests are conducted to verify the strain sensing performance of the two sensors. Experimental results confirm that the resonance frequency of each antenna sensor increases in an approximately linear relationship with respect to compressive strain. The compressive strain sensing performance of the two RFID antenna sensors, including strain sensitivity and determination coefficient, is evaluated based on the experimental data.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Sensing Systems for Wireless Medicine (MediSense), Georgia Institute of Technology, Georgia Institute of Technology, School of Electrical and Computer Engineering, Virginia Tech
Contributors: Cho, C., Yi, X., Wang, Y., Tentzeris, M. M., Leon, R. T.
Publication date: 2014

Host publication information

Title of host publication: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
Volume: 9061
Publisher: SPIE
Article number: 90610X
ISBN (Print): 9780819499875
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: Folded patch antenna, Passive wireless sensor, RFID, Slotted patch antenna, Strain sensor
Source: Scopus
Source ID: 84902151393

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Dimensional analysis conceptual modeling supporting adaptable reasoning in simulation-based training

How to measure and train for adaptability has emerged as a priority in military contexts in response to emergent threats and technologies associated with asymmetric warfare. While much research effort has attempted to characterize adaptability in terms of accuracy and response time using traditional executive function cognitive tests, it remains unclear and undefined how adaptability should be measured and thus how simulation-based training should be designed to instigate and modulate adaptable behavior and skills. Adaptable reasoning is well-exemplified in the rescue effort of Apollo 13 by NASA engineers who repurposed available materials available in the spacecraft to retrieve the astronauts safely back to earth. Military leaders have anecdotally referred to adaptability as 'improvised thinking' that repurposes 'blocks of knowledge' to device alternative solutions in response to changes in conditions affecting original tasks while maintaining end-state commander's intent. We review a previous feasibility study that explored the specification of Reusable Modeling Primitives for models and simulation systems building on Dimensional Analysis and Design Structure Matrix for Complexity Management formal methods. This Dimensional Analysis Conceptual Modeling (DACM) paradigm is rooted in science and engineering critical thinking and is consistent with the stated anecdotal premises as it facilitates the objective dimensional decomposition of a problem space to guide the corresponding dimensional composition of possible solutions. Arguably, adaptability also concerns the capability to overcome contradictions, detections, and reductions, which we present in an exemplar addressing the contradiction of increased drag due to increased velocity inherent to torpedoes. We propose that the DACM paradigm may be repurposed as a critical thinking framework for teaching the identification of relevant components in a theater of military operations and how the properties of those components may be repurposed to fashion alternative solutions to tasks involving navigation, call-for-fires, line-of-sight cover, weather and atmospheric effect responses, and others.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Mechanical Engineering and Industrial Systems, Simulated Instruments
Contributors: Coatanea, E., Roca, R.
Number of pages: 8
Pages: 245-252
Publication date: 7 Aug 2018

Host publication information

Title of host publication: 2018 13th System of Systems Engineering Conference, SoSE 2018
Publisher: IEEE
ISBN (Print): 9781538648766
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Hardware and Architecture, Control and Systems Engineering, Information Systems and Management
Keywords: Adaptable Reasoning, Conceptual Modeling, Modeling Simulation
Source: Scopus
Source ID: 85052311344

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

A framework for building behavioral models for design-stage failure identification using dimensional analysis

In this paper, a design-stage failure identification framework is proposed using a modeling and simulation approach based on Dimensional Analysis and qualitative physics. The proposed framework is intended to provide a new approach to model the behavior in the Functional-Failure Identification and Propagation (FFIP) framework, which estimates potential faults and their propagation paths under critical event scenarios. The initial FFIP framework is based on combining hierarchical system models of functionality and configuration, with behavioral simulation and qualitative reasoning. This paper proposes to develop a behavioral model derived from information available at the configuration level. Specifically, the new behavioral model uses design variables, which are associated with units and quantities (i.e., Mass, Length, Time, etc...). The proposed framework continues the work to allow the analysis of functional failures and fault propagation at a highly abstract system concept level before any potentially high-cost design commitments are made. The main contribution in this paper consists of developing component behavioral models based on the combination of fundamental design variables used to describe components and their units or quantities, more precisely describing components' behavior. Copyright © 2010 by ASME.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Oregon State University, Helsinki University of Technology, Aalto University
Contributors: Coatanéa, E., Ritola, T., Tumer, I. Y., Jensen, D.
Number of pages: 11
Pages: 591-601
Publication date: 2010

Host publication information

Title of host publication: Proceedings of the ASME Design Engineering Technical Conference
Volume: 5
Publisher: AMER SOC MECHANICAL ENGINEERS
ISBN (Print): 978-0-7918-4413-7
ASJC Scopus subject areas: Mechanical Engineering, Computer Graphics and Computer-Aided Design, Computer Science Applications, Modelling and Simulation
Source: WOS
Source ID: 000320567700053

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Measurement theory and dimensional analysis: Methodological impact on the comparison and evaluation process

Comparison and ranking of solutions are central tasks of the design process. Designers have to deal with decisions simultaneously involving multiple criteria. Those criteria are often inconsistent in the sense that they are expressed according to different types of metrics. This means that usual engineering performance indicators are expressed according to physical quantities (i.e. SI system) and indicators such as preference functions can be "measured" by using other type of qualitative metrics. This aspect limits the scientific consistency of design because a coherent scientific framework will at first require the creation of a unified list of fundamental properties. A combined analysis of the measurement theory, the General Design Theory (GDT) and the dimensional analysis theory give an interesting insight in order to create guidelines for establishing a coherent measurement system. This article establishes a list of fundamental requirements. We expect that these guidelines can help engineers and designers to be more aware of the drawbacks linked with the use of wrong comparison procedures and limitations associated with the use of weak measurement scales. This article makes an analysis of the fundamental aspects available in major scientific publications related to comparison, provides a synthesis of these basic concepts and unifies those concepts together from a designing perspective. A practical design methodology using the fundamental results of this article as prerequisites has been implemented by the authors.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: LGI, LGI Laboratory, Helsinki University of Technology, Aalto University
Contributors: Coatanéa, E., Yannou, B., Honkala, S., Lajunen, A., Saarelainen, T., Makkonen, P.
Number of pages: 10
Pages: 173-182
Publication date: 2008

Host publication information

Title of host publication: 19th International Conference on Design Theory and Methodology and 1st International Conference on Micro and Nano Systems, presented at - 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2007
Publisher: AMER SOC MECHANICAL ENGINEERS
ISBN (Print): 978-0-7918-4804-3
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Science Applications, Mechanical Engineering, Modelling and Simulation
Keywords: ENGINEERING DESIGN
Source: WOS
Source ID: 000254167700017

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Graph based representation and analyses for conceptual stages

What is the fundamental similarity between investing in stock of a company, because you like the products of this company, and selecting a design concept, because you have been impressed by the esthetic quality of the presentation made by the team developing the concept? Except that both decisions are based on a surface analysis of the situations, they both reflect a fundamental human's cognitive feature. Human brain is profoundly trying to minimize the efforts required to solve a cognitive task and is using when possible an automatic mode relying on recognition, memory, and causality. This mode is even used in some occasion without the engineer being conscious of it. Such type of tendencies are naturally pushing engineers to rush into known solutions, to avoid analyzing the context of a design problem, to avoid modelling design problems and to take decision based on isolated evidences. Those behaviors are familiar to experience teachers and engineers. This tendency is magnified by the time pressure imposed to the engineering design process. Early phases in particular have to be kept short despite the large impact of decisions taken at this stage. Few support tools are capable of supporting a deep analysis of the early design conditions and problems regarding the fuzziness and complexity of the early stage. The present article is hypothesizing that the natural ability of humans to deal with cause-effects relations push toward the massive usage of causal graphs analysis during the design process and specifically during the early phases. A global framework based on graphs is presented in this paper to efficiently support the early stages. The approach used to generate graphs, to analyze them and to support creativity based on the analysis is forming the central contribution of this paper.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Intelligent dexterity for secure networked infrastructure and applications (IDSNIA), Aalto University
Contributors: Coatanéa, E., Nonsiri, S., Christophe, F., Mokammel, F.
Publication date: 2014

Host publication information

Title of host publication: 34th Computers and Information in Engineering Conference
Volume: 1A
Publisher: The American Society of Mechanical Engineers ASME
ISBN (Electronic): 9780791846285
ASJC Scopus subject areas: Mechanical Engineering, Computer Graphics and Computer-Aided Design, Computer Science Applications, Modelling and Simulation
Source: Scopus
Source ID: 84961306932

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Knowledge-based artificial neural network (KB-ANN) in engineering: Associating functional architecture modeling, dimensional analysis and causal graphs to produce optimized topologies for KB-ANNs

This article documents a study on artificial neural networks (ANNs) applied to the field of engineering and more specifically a study taking advantage of prior domain knowledge of engineering systems to improve the learning capabilities of ANNs by reducing the dimensionality of the ANNs. The proposed approach ultimately leads to training a smaller ANN, offering advantage in training performances such as lower Mean Squared Error, lower cost and faster convergence. The article proposes to associate functional architecture, Pi numbers, and causal graphs and presents a design process to generate optimized knowledge-based ANN (KB-ANN) topologies. The article starts with a literature survey related to ANN and their topologies. Then, an important distinction is made between system behavior centered topologies and ANN centered topologies. The Dimensional Analysis Conceptual Modeling (DACM) framework is introduced as a way of implementing the system behavior centered topology. One case study is analyzed with the goal of defining an optimized KB-ANN topology. The study shows that the KB-ANN topology performed significantly better in term of the size of the required training set than a conventional fully-connected ANN topology. Future work will investigate the application of KB-ANNs to additive manufacturing.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Mechanical Engineering and Industrial Systems, Research area: Manufacturing and Automation, Simon Fraser University
Contributors: Coatanéa, E., Wu, D., Tsarkov, V., Gary Wang, G., Modi, S., Jafarian, H.
Number of pages: 12
Publication date: 2018

Host publication information

Title of host publication: 38th Computers and Information in Engineering Conference
Volume: 1B-2018
Publisher: The American Society of Mechanical Engineers ASME
ISBN (Electronic): 9780791851739
ASJC Scopus subject areas: Mechanical Engineering, Computer Graphics and Computer-Aided Design, Computer Science Applications, Modelling and Simulation
Keywords: Additive Manufacturing, Artificial Neural Networks, Classifiers, Dimensional Analysis, Empirical learning, Knowledge Based Artificial Neural Network

Bibliographical note

INT=mei,"Jafarian, Hesam"

Source: Scopus
Source ID: 85056903740

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Energy Efficiency Maximization of Full-Duplex Two-Way Relay with Non-Ideal Power Amplifiers and Non-Negligible Circuit Power

In this paper, we maximize the energy efficiency (EE) of full-duplex (FD) two-way relay (TWR) systems under non-ideal power amplifiers (PAs) and non-negligible transmission-dependent circuit power. We start with the case where only the relay operates full duplex and two timeslots are required for TWR. Then, we extend to the advanced case, where the relay and the two nodes all operate full duplex, and accomplish TWR in a single timeslot. In both cases, we establish the intrinsic connections between the optimal transmit powers and durations, based on which the original non-convex EE maximization can be convexified and optimally solved. Simulations show the superiority of FD-TWR in terms of EE, especially when traffic demand is high. The simulations also reveal that the maximum EE of FD-TWR is more sensitive to the PA efficiency, than it is to self-cancellation. The full FD design of FD-TWR is susceptible to traffic imbalance, while the design with only the relay operating in the FD mode exhibits strong tolerance.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Electronics and Communications Engineering, Research group: Wireless Communications and Positioning, Beijing University of Posts and Telecommunications, CSIRO Energy Centre, Aalto University
Contributors: Cui, Q., Zhang, Y., Ni, W., Valkama, M., Jantti, R.
Number of pages: 15
Pages: 6264-6278
Publication date: 1 Sep 2017
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Wireless Communications
Volume: 16
Issue number: 9
ISSN (Print): 1536-1276
Ratings: 
  • Scopus rating (2017): CiteScore 6.43 SJR 1.246 SNIP 2.451
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: Energy efficiency, full-duplex, non-ideal power amplifier, non-negligible circuit power, two-way relay
Source: Scopus
Source ID: 85023192668

Research output: Contribution to journalArticleScientificpeer-review

Energy cooperation for throughput optimization based on save-then-transmit protocol in wireless communication system

Green communication and energy saving have been a critical issue in modern wireless communication systems. The concepts of energy harvesting and energy transfer are recently receiving much attention in academic research field. In this paper, we study energy cooperation problems based on save-then-transmit protocol and propose two energy cooperation schemes for different system models: two-node communication model and three-node relay communication model. In both models, all of the nodes transmitting information have no fixed energy supplies and gain energy only via wireless energy harvesting from nature. Besides, these nodes also follow a save-then-transmit protocol. Namely, for each timeslot, a fraction (referred to as save-ratio) of time is devoted exclusively to energy harvesting while the remaining fraction is used for data transmission. In order to maximize the system throughput, energy transfer mechanism is introduced in our schemes, i.e., some nodes are permitted to share their harvested energy with other nodes by means of wireless energy transfer. Simulation results demonstrate that our proposed schemes can outperform both the schemes with half-allocate save-ratio and the schemes without energy transfer in terms of throughput performance, and also characterize the dependencies of system throughput, transferred energy, and save-ratio on energy harvesting rate.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Wireless Communications and Positioning, Wireless Communications and Positioning (WICO), Chongqing Key Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications
Contributors: Dai, C., Li, F., Renfors, M.
Publication date: 26 Dec 2015
Peer-reviewed: Yes

Publication information

Journal: Eurasip Journal on Wireless Communications and Networking
Volume: 2015
Issue number: 1
Article number: 119
ISSN (Print): 1687-1472
Ratings: 
  • Scopus rating (2015): CiteScore 0.96 SJR 0.362 SNIP 1.138
Original language: English
ASJC Scopus subject areas: Computer Networks and Communications, Signal Processing, Computer Science Applications
Keywords: Energy harvesting, Energy transfer, Save-then-transmit protocol, Throughput optimization
Source: Scopus
Source ID: 84930207810

Research output: Contribution to journalArticleScientificpeer-review

[COMMODE] a large-scale database of molecular descriptors using compounds from PubChem

Background: Molecular descriptors have been extensively used in the field of structure-oriented drug design and structural chemistry. They have been applied in QSPR and QSAR models to predict ADME-Tox properties, which specify essential features for drugs. Molecular descriptors capture chemical and structural information, but investigating their interpretation and meaning remains very challenging.Results: This paper introduces a large-scale database of molecular descriptors called COMMODE containing more than 25 million compounds originated from PubChem. About 2500 DRAGON-descriptors have been calculated for all compounds and integrated into this database, which is accessible through a web interface at http://commode.i-med.ac.at.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Oncotyrol, Institute for Bioinformatics and Translational Research, Innsbruck Medical University, Computational Biology and Machine Learning Lab., Faculty of Medicine, Health and Life Sciences, Queen's University, Belfast, Northern Ireland
Contributors: Dander, A., Mueller, L. A. J., Gallasch, R., Pabinger, S., Emmert-Streib, F., Graber, A., Dehmer, M.
Publication date: 13 Nov 2013
Peer-reviewed: Yes

Publication information

Journal: Source Code for Biology and Medicine
Volume: 8
Article number: 22
ISSN (Print): 1751-0473
Ratings: 
  • Scopus rating (2013): CiteScore 1.37 SJR 0.529 SNIP 0.46
Original language: English
ASJC Scopus subject areas: Information Systems, Computer Science Applications, Information Systems and Management, Health Informatics
Keywords: Chemical databases, Molecular descriptors, PubChem, QSAR, QSPR
Source: Scopus
Source ID: 84887399081

Research output: Contribution to journalArticleScientificpeer-review

Environmental and social sustainability–emergence of well-being in the built environment, assessment tools and real estate market implications

Well-being has emerged as the new ‘green’ for buildings thought to reward occupiers, property owners, developers and other concerned actors. The new assessment tools for well-being are seen as the next step of currently widely used ‘traditional’ sustainability tools. However, a lack of knowledge globally about these tools, their compatibility and general adoption in the market due to the newness of the topic inspired this study. In the research, we aim at developing a deeper understanding of the well-being and social sustainability perspective as an innovation in relation to the built environment. The study consists of a literature review, a desktop study of sustainability and well-being rating tools and a qualitative interview data-based research on stakeholders’ position regarding the WELL-certificate adoption in the market. Lastly, the conclusions are drawn based on the results of empirical and desktop study. The results of this research benefit the scientific community by providing a better understanding of the well-being approach in the market and points out the areas of interest for further research. Practitioners can benefit from a deeper understanding of market adoption of well-being assessment tools and the development of sustainability concept in the built environment.

General information

Publication status: E-pub ahead of print
MoE publication type: A1 Journal article-refereed
Organisations: Civil Engineering, Research group: Responsible Construction, Aalto University, University of Melbourne, Finnish University Properties, Ltd
Contributors: Danivska, V., Heywood, C., Christersson, M., Zhang, E., Nenonen, S.
Publication date: 2019
Peer-reviewed: Yes

Publication information

Journal: Intelligent Buildings International
ISSN (Print): 1750-8975
Original language: English
ASJC Scopus subject areas: Building and Construction, Computer Science Applications
Keywords: assessment tools, building certification, Health and well-being, market acceptance, social sustainability

Bibliographical note

EXT="Danivska, Vitalija"

Source: Scopus
Source ID: 85074504857

Research output: Contribution to journalArticleScientificpeer-review

DoGlycans-Tools for Preparing Carbohydrate Structures for Atomistic Simulations of Glycoproteins, Glycolipids, and Carbohydrate Polymers for GROMACS

Carbohydrates constitute a structurally and functionally diverse group of biological molecules and macromolecules. In cells they are involved in, e.g., energy storage, signaling, and cell-cell recognition. All of these phenomena take place in atomistic scales, thus atomistic simulation would be the method of choice to explore how carbohydrates function. However, the progress in the field is limited by the lack of appropriate tools for preparing carbohydrate structures and related topology files for the simulation models. Here we present tools that fill this gap. Applications where the tools discussed in this paper are particularly useful include, among others, the preparation of structures for glycolipids, nanocellulose, and glycans linked to glycoproteins. The molecular structures and simulation files generated by the tools are compatible with GROMACS.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Physics, Research group: Biological Physics and Soft Matter, University of Helsinki, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, MEMPHYS - Centre for Biomembrane Physics, University of Southern Denmark, Laboratory of Physics
Contributors: Danne, R., Poojari, C., Martinez-Seara, H., Rissanen, S., Lolicato, F., Róg, T., Vattulainen, I.
Number of pages: 6
Pages: 2401-2406
Publication date: 23 Oct 2017
Peer-reviewed: Yes

Publication information

Journal: Journal of Chemical Information and Modeling
Volume: 57
Issue number: 10
ISSN (Print): 1549-9596
Ratings: 
  • Scopus rating (2017): CiteScore 3.9 SJR 1.349 SNIP 1.216
Original language: English
ASJC Scopus subject areas: Chemistry(all), Chemical Engineering(all), Computer Science Applications, Library and Information Sciences
Source: Scopus
Source ID: 85031999962

Research output: Contribution to journalArticleScientificpeer-review

Using probabilistic sampling-based sensitivity analyses for indoor air quality modelling

General information

Publication status: Published
MoE publication type: Not Eligible
Organisations: London School of Hygiene and Tropical Medicine, University of Nottingham, University College London
Contributors: Das, P., Chalabi, Z., Davies, M., Hamilton, I., Jones, B., Mavrogianni, A., Shrubsole, C., Taylor, J.
Number of pages: 3
Pages: 553-555
Publication date: 1 Jan 2014
Peer-reviewed: Unknown
Event: Paper presented at 13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014, Hong Kong, Hong Kong.
ASJC Scopus subject areas: Pollution, Building and Construction, Health, Toxicology and Mutagenesis, Computer Science Applications
Keywords: Housing stock, Indoor air quality, Intervention, Metamodel, Probabilistic sensitivity analysis
Source: Scopus
Source ID: 84924692116

Research output: Other conference contributionPaper, poster or abstractScientific

On the complexity of restoring corrupted colorings

In the r-Fix problem, we are given a graph G, a (non-proper) vertex-coloring c: V(G) → [r] , and a positive integer k. The goal is to decide whether a proper r-coloring c is obtainable from c by recoloring at most k vertices of G. Recently, Junosza-Szaniawski et al. (in: SOFSEM 2015: theory and practice of computer science, Springer, Berlin, 2015) asked whether the problem has a polynomial kernel parameterized by the number of recolorings k. In a full version of the manuscript, the authors together with Garnero and Montealegre, answered the question in the negative: for every r≥ 3 , the problem r-Fix does not admit a polynomial kernel unless [InlineEquation not available: see fulltext.]. Independently of their work, we give an alternative proof of the theorem. Furthermore, we study the complexity of r-Swap, where the only difference from r-Fix is that instead of k recolorings we have a budget of k color swaps. We show that for every r≥ 3 , the problem r-Swap is [InlineEquation not available: see fulltext.]-hard whereas r-Fix is known to be FPT. Moreover, when r is part of the input, we observe both Fix and Swap are [InlineEquation not available: see fulltext.]-hard parameterized by the treewidth of the input graph. We also study promise variants of the problems, where we are guaranteed that a proper r-coloring c is indeed obtainable from c by some finite number of swaps. For instance, we prove that for r= 3 , the problems r-Fix-Promise and r-Swap-Promise are [InlineEquation not available: see fulltext.]-hard for planar graphs. As a consequence of our reduction, the problems cannot be solved in 2o(n) time unless the Exponential Time Hypothesis fails.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Mathematics, Bell Labs
Contributors: De Biasi, M., Lauri, J.
Number of pages: 20
Pages: 1150-1169
Publication date: May 2019
Peer-reviewed: Yes

Publication information

Journal: Journal of Combinatorial Optimization
Volume: 37
Issue number: 4
ISSN (Print): 1382-6905
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Discrete Mathematics and Combinatorics, Control and Optimization, Computational Theory and Mathematics, Applied Mathematics
Keywords: Combinatorial reconfiguration, Computational complexity, Graph coloring, Local search, Parameterized complexity
Source: Scopus
Source ID: 85053264976

Research output: Contribution to journalArticleScientificpeer-review

A computational approach to construct a multivariate complete graph invariant

In this paper, we present a computational approach for finding complete graph invariants. Specifically, we generate exhaustive sets of connected, non-isomorphic graphs with 9 and 10 vertices and demonstrate that a 97-dimensional multivariate graph invariant is capable to distinguish each of the non-isomorphic graphs. Furthermore, in order to tame the computational complexity of the problem caused by the vast number of graphs, e.g., involving over 10 million networks with 10 vertices, we suggest a low-dimensional, iterative procedure that is based on highly discriminative individual graph invariants. We show that also this computational approach leads to a perfect discrimination. Overall, our numerical results prove the existence of such graph invariants for networks with 9 and 10 vertices. Furthermore, we show that our iterative approach has a polynomial time complexity.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), 6060 Hall in Tyrol, Computational Biology and Machine Learning, Queen's University, Belfast, Northern Ireland
Contributors: Dehmer, M., Emmert-Streib, F., Grabner, M.
Number of pages: 9
Pages: 200-208
Publication date: 1 Mar 2014
Peer-reviewed: Yes

Publication information

Journal: Information Sciences
Volume: 260
ISSN (Print): 0020-0255
Ratings: 
  • Scopus rating (2014): CiteScore 5.47 SJR 2.226 SNIP 3.198
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Software, Control and Systems Engineering, Theoretical Computer Science, Computer Science Applications, Information Systems and Management
Keywords: Information inequality, Quantitative graph theory, Random network model, Statistics
Source: Scopus
Source ID: 84891738883

Research output: Contribution to journalArticleScientificpeer-review

On entropy-based molecular descriptors: Statistical analysis of real and synthetic chemical structures

This paper presents an analysis of entropy-based molecular descriptors. Specifically, we use real chemical structures, as well as synthetic isomeric structures, and investigate properties of and among descriptors with respect to the used data set by a statistical analysis. Our numerical results provide evidence that synthetic chemical structures are notably different to real chemical structures and, hence, should not be used to investigate molecular descriptors. Instead, an analysis based on real chemical structures is favorable. Further, we find strong hints that molecular descriptors can be partitioned into distinct classes capturing complementary information.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: TU Vienna, Technical University Darmstadt, Computational Biology and Machine Learning, School of Medicine
Contributors: Dehmer, M., Varmuza, K., Borgert, S., Emmert-Streib, F.
Number of pages: 9
Pages: 1655-1663
Publication date: 27 Jul 2009
Peer-reviewed: Yes

Publication information

Journal: Journal of Chemical Information and Modeling
Volume: 49
Issue number: 7
ISSN (Print): 1549-9596
Ratings: 
  • Scopus rating (2009): SJR 1.039 SNIP 1.219
Original language: English
ASJC Scopus subject areas: Chemical Engineering(all), Chemistry(all), Computer Science Applications, Library and Information Sciences
Source: Scopus
Source ID: 68149167631

Research output: Contribution to journalArticleScientificpeer-review

Network classes and graph complexity measures

In this paper, we propose an information-theoretic approach to discriminate graph classes structurally. For this, we use a measure for determining the structural information content of graphs. This complexity measure is based on a special information functional that quantifies certain structural information of a graph. To demonstrate that the complexity measure captures structural information meaningfully, we interpret some numerical results.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Center for Mathematics Probability and Statistics, Technical University Darmstadt, Computational Biology and Machine Learning Lab., Faculty of Medicine, Health and Life Sciences, Queen's University, Belfast, Northern Ireland
Contributors: Dehmer, M., Borgert, S., Emmert-Streib, F.
Number of pages: 8
Pages: 77-84
Publication date: 2008

Host publication information

Title of host publication: Proc. - 2008 1st International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing, CANS 2008
Article number: 5231507
ISBN (Print): 9780769536217
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Biomedical Engineering
Keywords: Entropy, Network complexity measures, Network modelling
Source: Scopus
Source ID: 70350557662

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Highly unique network descriptors based on the roots of the permanental polynomial

In this paper, we examine the zeros of permanental polynomials as highly unique network descriptors. We employ exhaustively generated networks and demonstrate that our defined graph measures based on the moduli of the zeros of permanental polynomials are quite efficient when distinguishing graphs structurally. In this work, we continue with a line of research that relates to the search of almost complete graph invariants. These highly unique network measures may serve as a powerful tool for tackling graph isomorphism.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Faculty of Biomedical Sciences and Engineering, Research group: Computational Medicine and Statistical Learning Laboratory (CMSL), BioMediTech, Research group: Predictive Society and Data Analytics (PSDA), Institute for Bioinformatics and Translational Research, Laboratory of Biosystem Dynamics, BioMediTech Institute and Faculty of Biomedical Sciences and Engineering, Universität der Bundeswehr München, Nankai University, Babes-Bolyai University
Contributors: Dehmer, M., Emmert-Streib, F., Hu, B., Shi, Y., Stefu, M., Tripathi, S.
Number of pages: 6
Pages: 176-181
Publication date: 1 Oct 2017
Peer-reviewed: Yes

Publication information

Journal: Information Sciences
Volume: 408
ISSN (Print): 0020-0255
Ratings: 
  • Scopus rating (2017): CiteScore 5.25 SJR 1.635 SNIP 2.257
Original language: English
ASJC Scopus subject areas: Control and Systems Engineering, Theoretical Computer Science, Software, Computer Science Applications, Information Systems and Management, Artificial Intelligence
Keywords: Data science, Graphs, Networks, Quantitative graph theory, Statistics
Source: Scopus
Source ID: 85018769218

Research output: Contribution to journalArticleScientificpeer-review

Quantitative Graph Theory: A new branch of graph theory and network science

In this paper, we describe some highlights of the new branch QUANTITATIVE GRAPH THEORY and explain its significant different features compared to classical graph theory. The main goal of quantitative graph theory is the structural quantification of information contained in complex networks by employing a measurement approach based on numerical invariants and comparisons. Furthermore, the methods as well as the networks do not need to be deterministic but can be statistic. As such this complements the field of classical graph theory, which is descriptive and deterministic in nature. We provide examples of how quantitative graph theory can be used for novel applications in the context of the overarching concept network science.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research group: Computational Medicine and Statistical Learning Laboratory (CMSL), Faculty of Biomedical Sciences and Engineering, BioMediTech, Research group: Predictive Society and Data Analytics (PSDA), Nankai University
Contributors: Dehmer, M., Emmert-Streib, F., Shi, Y.
Number of pages: 6
Pages: 575-580
Publication date: 1 Dec 2017
Peer-reviewed: Yes

Publication information

Journal: Information Sciences
Volume: 418-419
ISSN (Print): 0020-0255
Ratings: 
  • Scopus rating (2017): CiteScore 5.25 SJR 1.635 SNIP 2.257
Original language: English
ASJC Scopus subject areas: Control and Systems Engineering, Theoretical Computer Science, Software, Computer Science Applications, Information Systems and Management, Artificial Intelligence
Keywords: Data Science, Graphs, Networks, Quantitative Graph Theory, Statistics
Source: Scopus
Source ID: 85027400753

Research output: Contribution to journalArticleScientificpeer-review

Graph measures with high discrimination power revisited: A random polynomial approach

Finding graph measures with high discrimination power has been triggered by searching for so-called complete graph invariants. In a series of papers, we have already investigated highly discriminating measures to distinguish graphs (networks) based on their topology. In this paper, we propose an approach where the graph measures are based on the roots of random graph polynomials. The polynomial coefficients have been defined by utilizing information functionals which capture structural information of the underlying networks. Our numerical results obtained by employing exhaustively generated graphs reveal that the new approach outperforms earlier results in the literature.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Faculty of Biomedical Sciences and Engineering, Research group: Computational Medicine and Statistical Learning Laboratory (CMSL), Research group: Predictive Society and Data Analytics (PSDA), University of Applied Sciences Upper Austria, School of Management, Nankai University
Contributors: Dehmer, M., Chen, Z., Emmert-Streib, F., Shi, Y., Tripathi, S.
Number of pages: 8
Pages: 407-414
Publication date: 1 Oct 2018
Peer-reviewed: Yes

Publication information

Journal: Information Sciences
Volume: 467
ISSN (Print): 0020-0255
Ratings: 
  • Scopus rating (2018): CiteScore 6.9 SJR 1.62 SNIP 2.636
Original language: English
ASJC Scopus subject areas: Software, Control and Systems Engineering, Theoretical Computer Science, Computer Science Applications, Information Systems and Management, Artificial Intelligence
Keywords: Data science, Graphs, Networks, Quantitative graph theory, Statistics

Bibliographical note

EXT="Tripathi, Shailesh"

Source: Scopus
Source ID: 85051518614

Research output: Contribution to journalArticleScientificpeer-review

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach

Structural properties of graphs and networks have been investigated across scientific disciplines ranging from mathematics to structural chemistry. Structural branching, cyclicity and, more generally, connectedness are well-known examples of such properties. In particular, various graph measures for detecting structural branching and cyclicity have been investigated. These measures are of limited applicability since their interpretation relies heavily on a certain definition of structural branching. In this paper we define a related measure, taking an approach to measurement similar to that of Lovász and Pelikán (On the eigenvalues of trees, Periodica Mathematica Hungarica, Vol. 3 (1–2), 1973, 175–182). We define a complex valued polynomial which also has a unique positive root. Analytical and numerical results demonstrate that this measure can be interpreted as a structural branching and cyclicity measure for graphs. Our results generalize the work of Lovász and Pelikán since the measure we introduce is not restricted to trees.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Faculty of Biomedical Sciences and Engineering, Research group: Computational Medicine and Statistical Learning Laboratory (CMSL), Research group: Predictive Society and Data Analytics (PSDA), University of Applied Sciences Upper Austria, Nankai University, Hall in Tyrol, The City College of New York (CUNY), Shandong University at Weihai
Contributors: Dehmer, M., Chen, Z., Emmert-Streib, F., Mowshowitz, A., Shi, Y., Tripathi, S., Zhang, Y.
Number of pages: 10
Pages: 19-28
Publication date: 1 Jan 2019
Peer-reviewed: Yes
Early online date: 29 Aug 2018

Publication information

Journal: Information Sciences
Volume: 471
ISSN (Print): 0020-0255
Original language: English
ASJC Scopus subject areas: Software, Control and Systems Engineering, Theoretical Computer Science, Computer Science Applications, Information Systems and Management, Artificial Intelligence
Keywords: Data science, Graphs, Networks, Quantitative graph theory, Structural branching
Source: Scopus
Source ID: 85052883508

Research output: Contribution to journalArticleScientificpeer-review

On the degeneracy of the Randić entropy and related graph measures

Numerous quantitative graph measures have been defined and applied in various disciplines. Such measures may be differentiated according to whether they are information-theoretic or non-information-theoretic. In this paper, we examine an important property of Randić entropy, an information-theoretic measure, and examine some related graph measures based on random roots. In particular, we investigate the degeneracy of these structural graph measures and discuss numerical results. Finally, we draw some conclusions about the measures’ applicability to deterministic and non-deterministic networks.

General information

Publication status: E-pub ahead of print
MoE publication type: A1 Journal article-refereed
Organisations: Faculty of Biomedical Sciences and Engineering, Research group: Computational Medicine and Statistical Learning Laboratory (CMSL), Research group: Predictive Society and Data Analytics (PSDA), University of Applied Sciences Upper Austria, School of Management, Nankai University, Hall in Tyrol, The City College of New York (CUNY), Production and Operations Management, Tianjin University of Technology
Contributors: Dehmer, M., Chen, Z., Mowshowitz, A., Jodlbauer, H., Emmert-Streib, F., Shi, Y., Tripathi, S., Xia, C.
Publication date: 2018
Peer-reviewed: Yes

Publication information

Journal: Information Sciences
ISSN (Print): 0020-0255
Ratings: 
  • Scopus rating (2018): CiteScore 6.9 SJR 1.62 SNIP 2.636
Original language: English
ASJC Scopus subject areas: Software, Control and Systems Engineering, Theoretical Computer Science, Computer Science Applications, Information Systems and Management, Artificial Intelligence
Keywords: Data science, Graphs, Networks, Quantitative graph theory, Structural graph measures, Structural network analysis

Bibliographical note

EXT="Tripathi, Shailesh"

Source: Scopus
Source ID: 85057760552

Research output: Contribution to journalArticleScientificpeer-review

Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma.

The physical periphery of a biological cell is mainly described by signaling pathways which are triggered by transmembrane proteins and receptors that are sentinels to control the whole gene regulatory network of a cell. However, our current knowledge about the gene regulatory mechanisms that are governed by extracellular signals is severely limited. The purpose of this paper is three fold. First, we infer a gene regulatory network from a large-scale B-cell lymphoma expression data set using the C3NET algorithm. Second, we provide a functional and structural analysis of the largest connected component of this network, revealing that this network component corresponds to the peripheral region of a cell. Third, we analyze the hierarchical organization of network components of the whole inferred B-cell gene regulatory network by introducing a new approach which exploits the variability within the data as well as the inferential characteristics of C3NET. As a result, we find a functional bisection of the network corresponding to different cellular components. Overall, our study allows to highlight the peripheral gene regulatory network of B-cells and shows that it is centered around hub transmembrane proteins located at the physical periphery of the cell. In addition, we identify a variety of novel pathological transmembrane proteins such as ion channel complexes and signaling receptors in B-cell lymphoma.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Prostate cancer research center (PCRC), Queen's University, Belfast, Northern Ireland, Computational Biology and Machine Learning Lab., Faculty of Medicine, Health and Life Sciences
Contributors: de Matos Simoes, R., Tripathi, S., Emmert-Streib, F.
Publication date: 14 May 2012
Peer-reviewed: Yes

Publication information

Journal: BMC Systems Biology
Volume: 6
Article number: 38
ISSN (Print): 1752-0509
Ratings: 
  • Scopus rating (2012): CiteScore 3.32 SJR 1.577 SNIP 1.009
Original language: English
ASJC Scopus subject areas: Molecular Biology, Structural Biology, Applied Mathematics, Modelling and Simulation, Computer Science Applications
Keywords: B-cell lymphoma, Gene expression data, Gene regulatory network, Statistical network inference
Source: Scopus
Source ID: 84865119369

Research output: Contribution to journalArticleScientificpeer-review

Motivating scholars’ responses in academic social networking sites: An empirical study on ResearchGate Q&A behavior

The advent of academic social networking sites (ASNS) has offered an unprecedented opportunity for scholars to obtain peer support online. However, little is known about the characteristics that make questions and answers popular among scholars on ASNS. Focused on the statements embedded in questions and answers, this study strives to explore the precursors that motivate scholars to respond, such as reading, following, or recommending a question or an answer. We collected empirical data from ResearchGate and coded the data via the act4teams coding scheme. Our analysis revealed a threshold effect—when the length of question description is over circa 150 words, scholars would quickly lose interest and thus not read the description. In addition, we found that questions, including positive action-oriented statements, are more likely to entice subsequent reads from other scholars. Furthermore, scholars prefer to recommend an answer with positive procedural statements or negative action-oriented statements.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Information and Knowledge Management, Wuhan University, Aalto University
Contributors: Deng, S., Tong, J., Lin, Y., Li, H., Liu, Y.
Publication date: 1 Nov 2019
Peer-reviewed: Yes

Publication information

Journal: INFORMATION PROCESSING AND MANAGEMENT
Volume: 56
Issue number: 6
Article number: 102082
ISSN (Print): 0306-4573
Original language: English
ASJC Scopus subject areas: Information Systems, Media Technology, Computer Science Applications, Management Science and Operations Research, Library and Information Sciences
Keywords: Library and information science, ResearchGate, Social Q&A
Source: Scopus
Source ID: 85070729878

Research output: Contribution to journalArticleScientificpeer-review

Mobility aware eMBMS management in urban 5G-oriented systems

The demand for video services in mobile networks is rapidly increasing. In fact, is expected that video transmissions will account for more than 69% of mobile data traffic by 2018[1]. Along these lines, the challenging requirements of such multimedia applications and, at the same time, the centralized organization typical of current cellular technologies motivate the investigation of enhanced advanced driver assistance systems (ADAS) for supporting the driver experience in terms of safety driving comfort. In this context, in this paper we focus our attention of a new realistic scenario, in which all users share video contents from the surrounding environment with the aim to create a global 3D video content useful for ADAS systems. Once that such video content is created, we assume that the LTE eNodeB may come in help for making it available through streaming transmissions towards all vehicles in that area with the use of Multimedia Broadcast Multicast Services (MBMS). Obtained results, show that multicast transmissions based on subgrouping techniques are able to overcome the legacy solutions where conservative and opportunistic schemes are used.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Electronics and Communications Engineering, Dept. of Electrical and Electronic Engineering, Universita degli Studi di Reggio Calabria, Peoples’ Friendship University of Russia
Contributors: Desogus, C., Fadda, M., Murroni, M., Araniti, G., Orsino, A.
Publication date: 19 Jul 2017

Host publication information

Title of host publication: 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2017
Publisher: IEEE
ISBN (Electronic): 9781509049370
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Electrical and Electronic Engineering, Media Technology, Communication
Keywords: LTE, MBMS, Multicast Grouping, V2X, Video Streaming

Bibliographical note

jufoid=72046
INT=ELT, "Orsino, A."

Source: Scopus
Source ID: 85027268444

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Radar micro-Doppler feature extraction using the Singular Value Decomposition

The micro-Doppler spectrogram depends on parts of a target moving and rotating in addition to the main body motion (e.g., spinning rotor blades) and is thus characteristic for the type of target. In this study, the micro-Doppler spectrogram is exploited to distinguish between birds and small unmanned aerial vehicles (UAVs). The focus hereby is on micro-Doppler features enabling fast classification of birds and mini-UAVs. In a second classification step, it is desired to exploit micro-Doppler features to further characterize the type of UAV, e.g., fixed-wing vs. rotary-wing. In this paper, potentially robust features are discussed supporting the first classification step, i.e., separation of birds and UAVs. The Singular Value Decomposition seems a powerful tool to extract such features, since the information content of the micro-Doppler spectrogram is preserved in the singular vectors. In the paper, some examples of micro-Doppler feature extraction via Singular Value Decomposition are given.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Signal Processing, TNO, Thales Nederland B.V.
Contributors: De Wit, J. J. M., Harmanny, R. I. A., Molchanov, P.
Publication date: 12 Mar 2014

Host publication information

Title of host publication: 2014 International Radar Conference, Radar 2014
Publisher: The Institute of Electrical and Electronics Engineers, Inc.
ISBN (Print): 9781479941957
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering
Keywords: classification, micro-Doppler signature, mini-UAVs, radar, singular value decomposition, time-frequency analysis
Source: Scopus
Source ID: 84946690619

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Novel frequency domain cyclic prefix autocorrelation based compressive spectrum sensing for cognitive radio

Cognitive radio (CR) has received increasing attention and is considered an important solution to the spectral crowding problem. The main idea behind CR technology is to utilize the unused spectral resources which are determined to be available for secondary user by effective spectrum sensing techniques. However, CR technology significantly depends on the spectrum sensing techniques which are applied to detect the presence of primary user (PU) signals. This paper focuses on detecting OFDM primaries using novel frequency-domain cyclic prefix (CP) autocorrelation based compressive spectrum sensing algorithms. To counteract the practical wireless channel effects, frequency domain approaches for PU signal detection are developed. The proposed spectrum sensing method eliminates the effects of both noise uncertainty and frequency selective channels. Using the frequency domain autocorrelation approach results in highly increased flexibility, facilitating robust wideband multi-mode, multi-channel sensing with low complexity. It also allows to sense weak PU signals which are partly overlapped by other strong PU or CR transmissions.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Electronics and Communications Engineering, Research group: Wireless Communications and Positioning
Contributors: Dikmese, S., Ilyas, Z., Sofotasios, P., Renfors, M., Valkama, M.
Publication date: 5 Jul 2016

Host publication information

Title of host publication: 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)
Publisher: IEEE
ISBN (Electronic): 9781509016983
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Applied Mathematics
Keywords: Cognitive radio, Energy detector, Frequency selective channel and noise uncertainty, OFDMVCP, Time and/or frequency domain CP autocorrelation based compressive spectrum sensing

Bibliographical note

INT=elt,"Ilyas, Zobia"

Source: Scopus
Source ID: 84979752384

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Nanodevice Arrays for Peripheral Nerve Fascicle Activation Using Ultrasound Energy-harvesting

We propose the use of wireless, energy-harvesting, implanted nanodevice arrays with electrodes for selective stimulation of peripheral nerves in the human body. We calculate the input ultrasound energy and harvested power for single fixed-size nanowire-based nanodevices at different tissue depths and compare these with the current and voltage levels required for peripheral neural stimulation. We model the dimensioning of arrays of nanodevices, embedded in biocompatible tissue patches, to meet these neural stimulation requirements. Selectivity of activation of particular nerve bundles requires that the output voltage and current of the array can be varied to increase or decrease penetration into the neural tissue. This variation can be achieved by changing the energised area of the array and/or by decreasing the incident ultrasound power. However, the array must be implanted horizontally relative to the incident ultrasound as any tilting of the nanodevices will reduce the harvested energy. The proposed approach provides a long-term implant solution for nerve stimulation that allows the patient greater freedom of movement than with embedded tethered electrodes.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Electronics and Communications Engineering, Research group: Emerging Technologies for Nano-Bio-Info-Cogno
Contributors: Donohoe, M., Jennings, B., Jornet, J. M., Balasubramaniam, S.
Pages: 919-930
Publication date: 2017
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Nanotechnology
Volume: 16
Issue number: 6
ISSN (Print): 1536-125X
Ratings: 
  • Scopus rating (2017): CiteScore 2.86 SJR 0.572 SNIP 1.111
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Electrical and Electronic Engineering
Keywords: Crystals, Electrodes, Energy harvesting, Energy Harvesting, Nanoscale devices, Nanowires, Nerve stimulation, Resonant frequency, Substrates, Ultrasonic imaging, Ultrasound
Electronic versions: 
Source: Scopus
Source ID: 85023197296

Research output: Contribution to journalArticleScientificpeer-review

Building energy-efficiency interventions in North-East Europe: Effects on indoor environmental quality and public health

INSULAtE project aims to develop a common protocol for assessment of improving energy efficiency (EE) of dwellings on indoor environmental quality (IEQ) and public health in Europe. So far, measurement data on IEQ parameters (PM, CO, CO2, VOCs, formaldehyde, NO2, radon, T and RH) and questionnaire data from occupants were collected from 16 multifamily buildings (94 apartments) in Finland and 20 (96 apartments) in Lithuania before renovation. Most parameters were within recommended limits; however, the data revealed different baselines (before renovation) for each country both in terms of the IEQ parameters and the respondents' satisfaction regarding their residence and indoor air quality. Post renovation data (from one building in each country) showed potential changes in the measured parameters, while further analyses are needed once the data have been collected. The results of this project will be used in developing guidance and support the implementation of the related policies.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Life Cycle Effectiveness of the Built Environment (LCE@BE), Research group: Concrete and Bridge Structures, Department of Civil Engineering, Research group: Responsible Construction, National Public Health Institute, Kaunas University of Technology
Contributors: Du, L., Prasauskas, T., Leivo, V., Turunen, M., Aaltonen, A., Kiviste, M., Martuzevicius, D., Haverinen-Shaughnessy, U.
Number of pages: 3
Pages: 637-639
Publication date: 2014

Host publication information

Title of host publication: Indoor Air 2014 - 13th International Conference on Indoor Air Quality and Climate
Publisher: International Society of Indoor Air Quality and Climate
ASJC Scopus subject areas: Pollution, Building and Construction, Health, Toxicology and Mutagenesis, Computer Science Applications
Keywords: Environmental monitoring, Exposure, Health questionnaire, Residential buildings
Source: Scopus
Source ID: 84924672127

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

BM3D-HVS: Content-Adaptive denoising for improved visual quality

We introduce a content-Adaptive approach to image denoising where the filter design is based on mean opinion scores (MOSs) from preliminary experiments with volunteers who evaluated the quality of denoised image fragments. This allows to tune the filter parameters so to improve the perceptual quality of the output image, implicitly accounting for the peculiarities of the human visual system (HVS). A modification of the BM3D image denoising filter (Dabov et al., IEEE TIP, 2007), namely BM3DHVS, is proposed based on this framework. We show that it yields a higher visual quality than the conventional BM3D. Further, we have also analyzed the MOSs against popular full-reference visual quality metrics such as SSIM (Wang et al., IEEE TIP, 2004), its extension FSIM (Zhang et al., IEEE TIP, 2011), and the noreference IL-NIQE (Zhang et al., IEEE TIP, 2015) over each image fragment. Both the Spearman and the Kendall rank order correlation show that these metrics do not correspond well to the human perception. This calls for new visual quality metrics tailored for the benchmarking and optimization of image denoising methods.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Signal Processing, Kharkiv National Aerospace University, Noiseless Imaging Ltd
Contributors: Egiazarian, K., Danielyan, A., Ponomarenkoa, N., Foia, A., Ieremeiev, O., Lukin, V.
Number of pages: 8
Pages: 48-55
Publication date: 2017

Host publication information

Title of host publication: Image Processing: Algorithms and Systems XV

Publication series

Name: Electronic Imaging
ISSN (Print): 2470-1173
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Science Applications, Human-Computer Interaction, Software, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics

Bibliographical note

EXT="Danielyan, Aram"
EXT="Lukin, Vladimir"
jufoid=84313

Source: Scopus
Source ID: 85040604686

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Functional and genetic analysis of the colon cancer network.

Cancer is a complex disease that has proven to be difficult to understand on the single-gene level. For this reason a functional elucidation needs to take interactions among genes on a systems-level into account. In this study, we infer a colon cancer network from a large-scale gene expression data set by using the method BC3Net. We provide a structural and a functional analysis of this network and also connect its molecular interaction structure with the chromosomal locations of the genes enabling the definition of cis- and trans-interactions. Furthermore, we investigate the interaction of genes that can be found in close neighborhoods on the chromosomes to gain insight into regulatory mechanisms. To our knowledge this is the first study analyzing the genome-scale colon cancer network.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Queen’s University Belfast
Contributors: Emmert-Streib, F., de Matos Simoes, R., Glazko, G., McDade, S., Haibe-Kains, B., Holzinger, A., Dehmer, M., Campbell, F.
Publication date: 2014
Peer-reviewed: Yes

Publication information

Journal: BMC Bioinformatics
Volume: 15
Issue number: Suppl 6
Article number: S6
ISSN (Print): 1471-2105
Ratings: 
  • Scopus rating (2014): CiteScore 2.91 SJR 1.916 SNIP 1.185
Original language: English
ASJC Scopus subject areas: Biochemistry, Molecular Biology, Computer Science Applications, Applied Mathematics, Structural Biology

Research output: Contribution to journalArticleScientificpeer-review

Classification of large graphs by a local tree decomposition

We present a binary graph classifier (BGC) which allows to classify large, unweighted, undirected graphs. This classifier is based on a local decomposition of the graph for each node in generalized trees. The obtained trees, forming the tree set of the graph, are then pairwise compared by a generalized tree-similarity-algorithm (GTSA) and the resulting similarity scores determine a characteristic similarity distribution of the graph. Classification in this context is defined as mutual consistency for all pure and mixed tree sets and their resulting similarity distributions in a graph class. We demonstrate the application of this method to an artificially generated data set and for data from microarray experiments of cervical cancer.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Stowers Institute for Medical Research, Technical University Darmstadt
Contributors: Emmert-Streib, F., Dehmert, M., Kilian, J.
Number of pages: 8
Pages: 200-207
Publication date: 2005

Host publication information

Title of host publication: Proceedings of the 2005 International Conference on Data Mining, DMIN'05
ISBN (Print): 9781932415797
ASJC Scopus subject areas: Computer Science Applications, Software
Source: Scopus
Source ID: 49749142261

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Hierarchical coordination of periodic genes in the cell cycle of Saccharomyces cerevisiae

Background: Gene networks are a representation of molecular interactions among genes or products thereof and, hence, are forming causal networks. Despite intense studies during the last years most investigations focus so far on inferential methods to reconstruct gene networks from experimental data or on their structural properties, e.g., degree distributions. Their structural analysis to gain functional insights into organizational principles of, e.g., pathways remains so far under appreciated. Results: In the present paper we analyze cell cycle regulated genes in S. cerevisiae. Our analysis is based on the transcriptional regulatory network, representing causal interactions and not just associations or correlations between genes, and a list of known periodic genes. No further data are used. Partitioning the transcriptional regulatory network according to a graph theoretical property leads to a hierarchy in the network and, hence, in the information flow allowing to identify two groups of periodic genes. This reveals a novel conceptual interpretation of the working mechanism of the cell cycle and the genes regulated by this pathway. Conclusion: Aside from the obtained results for the cell cycle of yeast our approach could be exemplary for the analysis of general pathways by exploiting the rich causal structure of inferred and/or curated gene networks including protein or signaling networks.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Computational Biology and Machine Learning Lab., Faculty of Medicine, Health and Life Sciences, Queen's University, Belfast, Northern Ireland, Institute for Bioinformatics and Translational Research
Contributors: Emmert-Streib, F., Dehmer, M.
Publication date: 20 Jul 2009
Peer-reviewed: Yes

Publication information

Journal: BMC Systems Biology
Volume: 3
Article number: 76
ISSN (Print): 1752-0509
Ratings: 
  • Scopus rating (2009): SJR 1.493 SNIP 0.974
Original language: English
ASJC Scopus subject areas: Molecular Biology, Structural Biology, Applied Mathematics, Modelling and Simulation, Computer Science Applications
Source: Scopus
Source ID: 68949220295

Research output: Contribution to journalArticleScientificpeer-review

Information processing in the transcriptional regulatory network of yeast: Functional robustness

Background: Gene networks are considered to represent various aspects of molecular biological systems meaningfully because they naturally provide a systems perspective of molecular interactions. In this respect, the functional understanding of the transcriptional regulatory network is considered as key to elucidate the functional organization of an organism. Results: In this paper we study the functional robustness of the transcriptional regulatory network of S. cerevisiae. We model the information processing in the network as a first order Markov chain and study the influence of single gene perturbations on the global, asymptotic communication among genes. Modification in the communication is measured by an information theoretic measure allowing to predict genes that are 'fragile' with respect to single gene knockouts. Our results demonstrate that the predicted set of fragile genes contains a statistically significant enrichment of so called essential genes that are experimentally found to be necessary to ensure vital yeast. Further, a structural analysis of the transcriptional regulatory network reveals that there are significant differences between fragile genes, hub genes and genes with a high betweenness centrality value. Conclusion: Our study does not only demonstrate that a combination of graph theoretical, information theoretical and statistical methods leads to meaningful biological results but also that such methods allow to study information processing in gene networks instead of just their structural properties.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Computational Biology and Machine Learning, Queen's University, Belfast, Northern Ireland, Center for Mathematics Probability and Statistics
Contributors: Emmert-Streib, F., Dehmer, M.
Publication date: 19 Mar 2009
Peer-reviewed: Yes

Publication information

Journal: BMC Systems Biology
Volume: 3
Article number: 35
ISSN (Print): 1752-0509
Ratings: 
  • Scopus rating (2009): SJR 1.493 SNIP 0.974
Original language: English
ASJC Scopus subject areas: Molecular Biology, Structural Biology, Applied Mathematics, Modelling and Simulation, Computer Science Applications
Source: Scopus
Source ID: 65649087188

Research output: Contribution to journalArticleScientificpeer-review

Robustness in scale-free networks: Comparing directed and undirected networks

In this paper, scale-free networks and their functional robustness with respect to structural perturbations of the network are studied. Two types of perturbations are distinguished: random perturbations and attacks. The robustness of directed and undirected scale-free networks is studied numerically for two different measures and the obtained results are compared. For random perturbations, the results indicate that the strength of the perturbation plays a crucial role. In general, directed scale-free networks are more robust than undirected scale-free networks.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Biostatistics and Genome Sciences, TU Vienna
Contributors: Emmert-Streib, F., Dehmer, M.
Number of pages: 10
Pages: 717-726
Publication date: May 2008
Peer-reviewed: Yes

Publication information

Journal: International Journal of Modern Physics C
Volume: 19
Issue number: 5
ISSN (Print): 0129-1831
Ratings: 
  • Scopus rating (2008): SJR 0.407 SNIP 0.552
Original language: English
ASJC Scopus subject areas: Computational Theory and Mathematics, Computer Science Applications, Mathematical Physics, Physics and Astronomy(all), Statistical and Nonlinear Physics
Keywords: Functional robustness, Markov chain, Scale-free networks
Source: Scopus
Source ID: 47049131368

Research output: Contribution to journalArticleScientificpeer-review

Towards a channel capacity of communication networks

We propose a new measure that quantifies the communication capabilities of networks. More precisely, in this paper we show that the well known channel capacity of a memoryless channel, introduced in information theory, can be defined for arbitrary directed networks. We argue that this new measure, which we call network channel capacity, might be useful for characterizing and classifying communication networks. As first examples we present results for random networks and discuss practical implications.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Computational Biology and Machine Learning, Queen's University, Belfast, Northern Ireland, Center for Mathematics Probability and Statistics
Contributors: Emmert-Streib, F., Dehmer, M.
Number of pages: 6
Pages: 94-99
Publication date: 2008

Host publication information

Title of host publication: Proc. - 2008 1st International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing, CANS 2008
Article number: 5231493
ISBN (Print): 9780769536217
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Biomedical Engineering
Keywords: Channel capacity, Information theory, Markov chain, Networks
Source: Scopus
Source ID: 70350534877

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Nonlinear time series prediction based on a power-law noise model

In this paper we investigate the influence of a power-law noise model, also called noise, on the performance of a feed-forward neural network used to predict time series. We introduce an optimization procedure that optimizes the parameters the neural networks by maximizing the likelihood function based on the power-law model. We show that our optimization procedure minimizes the mean squared leading to an optimal prediction. Further, we present numerical results applying method to time series from the logistic map and the annual number of sunspots demonstrate that a power-law noise model gives better results than a Gaussian model.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Stowers Institute for Medical Research, TU Vienna
Contributors: Emmert-Streib, F., Dehmer, M.
Number of pages: 14
Pages: 1839-1852
Publication date: Dec 2007
Peer-reviewed: Yes

Publication information

Journal: International Journal of Modern Physics C
Volume: 18
Issue number: 12
ISSN (Print): 0129-1831
Ratings: 
  • Scopus rating (2007): SJR 0.502 SNIP 0.524
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computational Theory and Mathematics, Physics and Astronomy(all), Statistical and Nonlinear Physics, Mathematical Physics
Keywords: time series prediction, maximum likelihood, Monte Carlo method, feed-forward, neural network., SELF-ORGANIZED CRITICALITY, NEURAL-NETWORKS, OPTIMIZATION, EXPLANATION
Source: Scopus
Source ID: 38149090517

Research output: Contribution to journalArticleScientificpeer-review

Global information processing in gene networks: Fault tolerance

In this paper we study the fault tolerance of gene networks. We assume single gene knockouts and investigate the effect this kind of perturbation has on the communication between genes globally. For our study we use directed scale-free networks resembling gene networks, e.g., signaling or proteinprotein interaction networks, and define a Markov process based on the network topology to model communication. This allows us to evaluate the spread of information in the network and, hence, detect differences due to single gene knockouts in the gene-gene communication asymptotically.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Stowers Institute for Medical Research, TU Vienna
Contributors: Emmert-Streib, F., Dehmer, M.
Number of pages: 4
Pages: 326-329
Publication date: 2007

Host publication information

Title of host publication: Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, Bionetics 2007
Article number: 4610138
ISBN (Print): 9789639799059
ASJC Scopus subject areas: Computational Theory and Mathematics, Computer Science Applications, Information Systems
Keywords: Gene networks, Information processing, Information theory, Robustness, Scale-free networks
Source: Scopus
Source ID: 53149089468

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

A heterosynaptic learning rule for neural networks

In this article we intoduce a novel stochastic Hebb-like learning rule for neural networks that is ueurobiologically motivated. This learning rule combines features of unsupervised (Hebbian) and supervised (reinforcement) learning and is stochastic with respect to the selection of the time points when a synapse is modified. Moreover, the learning rule does not only affect the synapse between pre- and postsynaptic neuron, which is called homosynaptic plasticity, but effects also further remote synapses of the preand postsynaptic neuron. This more complex form of synaptic plasticity has recently come under investigations in neurobiology and is called heterosynaptic plasticity. We demonstrate that this learning rule is useful in training neural networks by learning parity functions including the exclusive-or (XOR) mapping in a multilayer feed-forward network. We find, that our stochastic learning rule works well, even in the presence of noise. Importantly, the mean learning time increases with the number of patterns to be learned polynomially, indicating efficient learning.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Institut für Theoretische Physik, University of Bremen, Stowers Institute for Medical Research
Contributors: Emmert-Streib, F.
Number of pages: 20
Pages: 1501-1520
Publication date: Oct 2006
Peer-reviewed: Yes

Publication information

Journal: International Journal of Modern Physics C
Volume: 17
Issue number: 10
ISSN (Print): 0129-1831
Ratings: 
  • Scopus rating (2006): SJR 0.498 SNIP 0.581
Original language: English
ASJC Scopus subject areas: Computational Theory and Mathematics, Computer Science Applications, Mathematical Physics, Physics and Astronomy(all), Statistical and Nonlinear Physics
Keywords: Biological reinforcement learning, Hebb-like learning, Heterosynaptic plasticity, Neural networks
Source: Scopus
Source ID: 33750574569

Research output: Contribution to journalArticleScientificpeer-review

Stochastic Sznajd Model in open community

We extend the Sznajd Model for opinion formation by introducing persuasion probabilities for opinions. Moreover, we couple the system to an environment which mimics the application of the opinion. This results in a feedback, representing single-state opinion transitions in opposite to the two-state opinion transitions for persuading other people. We call this model opinion formation in an open community (OFOC). It can be seen as a stochastic extension of the Sznajd model for an open community, because it allows for a special choice of parameters to recover the original Sznajd model. We demonstrate the effect of feedback in the OFOC model by applying it to a, scenario in which, e.g., opinion B is worse then opinion A but easier explained to other people. Casually formulated we analyzed the question, how much better one has to be, in order to persuade other people, provided the opinion is worse. Our results reveal a linear relation between the transition probability for opinion B and the influence of the environment on B.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Stowers Institute for Medical Research
Contributors: Emmert-Streib, F.
Number of pages: 7
Pages: 1693-1699
Publication date: Nov 2005
Peer-reviewed: Yes

Publication information

Journal: International Journal of Modern Physics C
Volume: 16
Issue number: 11
ISSN (Print): 0129-1831
Ratings: 
  • Scopus rating (2005): SJR 0.525 SNIP 0.61
Original language: English
ASJC Scopus subject areas: Computational Theory and Mathematics, Computer Science Applications, Mathematical Physics, Physics and Astronomy(all), Statistical and Nonlinear Physics
Keywords: Markov process, Monte Carlo simulation, Small-world network, Sznajd Model
Source: Scopus
Source ID: 29244483126

Research output: Contribution to journalArticleScientificpeer-review

Fifty years of graph matching, network alignment and network comparison

In this paper we survey methods for performing a comparative graph analysis and explain the history, foundations and differences of such techniques of the last 50 years. While surveying these methods, we introduce a novel classification scheme by distinguishing between methods for deterministic and random graphs. We believe that this scheme is useful for a better understanding of the methods, their challenges and, finally, for applying the methods efficiently in an interdisciplinary setting of data science to solve a particular problem involving comparative network analysis.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Signal Processing
Contributors: Emmert-Streib, F., Dehmer, M., Shi, Y.
Number of pages: 18
Pages: 180-197
Publication date: 10 Jun 2016
Peer-reviewed: Yes

Publication information

Journal: Information Sciences
Volume: 346-347
ISSN (Print): 0020-0255
Ratings: 
  • Scopus rating (2016): CiteScore 5.37 SJR 1.781 SNIP 2.487
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Software, Control and Systems Engineering, Theoretical Computer Science, Computer Science Applications, Information Systems and Management
Keywords: Biological networks, Computational graph theory, Graph matching, Network comparison, Network similarity, Quantitative graph theory
Source: Scopus
Source ID: 84964349574

Research output: Contribution to journalArticleScientificpeer-review

Evaluation of effectiveness of the stickgrip device for detecting the topographic heights on digital maps

Multimodal visualization of landscapes and cityscapes requires new concepts and metaphors for intuitive operations with multidimensional data in fully immersive virtual environments. Variations in lighting conditions and perceptual interpretation of the reduced topographic colors can significantly modify an assessment of the true elevation profiles on a digital map. This paper describes the results of the empirical evaluation of the new interaction technique that has potential to enhance the imaging functionality of the two-dimensional maps. It was demonstrated that untrained subjects become much more accurate at detecting the altitudes in a range of 0-4000 m assigned within the palette when values of the light intensity had been associated with the haptic information. The results confirmed that the accuracy of the height estimation with the StickGrip haptic device appeared to be higher by about 32% in comparison to visual assessment.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Augmented Human Activities (AHA)
Contributors: Evreinova, T. V., Evreinov, G., Raisamo, R.
Number of pages: 16
Pages: 61-76
Publication date: 2012
Peer-reviewed: Yes

Publication information

Journal: INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND APPLICATIONS
Volume: 9
Issue number: 3
ISSN (Print): 0972-9038
Ratings: 
  • Scopus rating (2012): CiteScore 0.66 SJR 0.235 SNIP 0.719
Original language: English
ASJC Scopus subject areas: Computer Science Applications
Keywords: Geoscientific data, The stickgrip haptic device, Topographic elevation profile
Source: Scopus
Source ID: 84872773600

Research output: Contribution to journalArticleScientificpeer-review

Transfer learning using a nonparametric sparse topic model

In many domains data items are represented by vectors of counts; count data arises, for example, in bioinformatics or analysis of text documents represented as word count vectors. However, often the amount of data available from an interesting data source is too small to model the data source well. When several data sets are available from related sources, exploiting their similarities by transfer learning can improve the resulting models compared to modeling sources independently. We introduce a Bayesian generative transfer learning model which represents similarity across document collections by sparse sharing of latent topics controlled by an Indian buffet process. Unlike a prominent previous model, hierarchical Dirichlet process (HDP) based multi-task learning, our model decouples topic sharing probability from topic strength, making sharing of low-strength topics easier. In experiments, our model outperforms the HDP approach both on synthetic data and in first of the two case studies on text collections, and achieves similar performance as the HDP approach in the second case study.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aalto University, deCODE Genetics
Contributors: Faisal, A., Gillberg, J., Leen, G., Peltonen, J.
Number of pages: 14
Pages: 124-137
Publication date: 18 Jul 2013
Peer-reviewed: Yes

Publication information

Journal: Neurocomputing
Volume: 112
ISSN (Print): 0925-2312
Ratings: 
  • Scopus rating (2013): CiteScore 2.95 SJR 0.817 SNIP 1.915
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Cognitive Neuroscience
Keywords: Latent Dirichlet allocation, Nonparametric Bayesian inference, Small sample size, Sparsity, Topic models, Transfer learning
Source: Scopus
Source ID: 84877602437

Research output: Contribution to journalArticleScientificpeer-review

Haptic user interface enhancement system for touchscreen based interaction: A novel system for multimodal interaction with touchscreen interfaces

Touchscreens are becoming a more attractive interaction technology in our daily lives and they are quickly replacing most of the conventional user interface controls. The ability to continuously modify and reconfigure screen contacts is a valuable feature in any device, especially in mobile devices like smartphones and tablets, where every inch matters. Perhaps the most inviting aspect of touchscreens is their ability to detect gestures and recognize human activities. Unlike externally static interfaces with a dedicated input device, such as a keypad with discrete well-defined keys; most touch sensitive displays are embodied as a flat, stiff and ridged screen surface. As a result, touch sensitive displays are breaking down and do not follow either ergonomic rules and standards nor physiological and psychological models/concepts of the afferent flow information processing. This, in turn, means that these systems diminish perceptual and intuitive haptic feedback which hinders and sometime limits user interaction.This paper defines a Haptic User Interface Enhancement System (UIES) that transforms the conventionally flat and stiff touchscreen surfaces intoa haptically adaptive interaction hub which is not only able to provide generic vibrotactile stimulation for conformational haptic feedback but is able to guide the user though onscreen User Interface controls via kinetic feedback cues which includes components of forces and torques applied dynamically in the place of contact to the fingertips.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Augmented Human Activities (AHA)
Contributors: Farooq, A., Evreinov, G., Raisamo, R., Majeed, A. A.
Number of pages: 7
Pages: 25-31
Publication date: 2 Feb 2014

Host publication information

Title of host publication: ICOSST 2014 - 2014 International Conference on Open Source Systems and Technologies, Proceedings
Publisher: Institute of Electrical and Electronics Engineers Inc.
Article number: 7029316
ISBN (Electronic): 9781479920549
ASJC Scopus subject areas: Computer Science Applications, Software
Keywords: Haptics, kenesthetic feedback, Multimodal Interaction, Touchscreen Interaction, Vibrotactile
Source: Scopus
Source ID: 84946686310

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Developing novel multimodal interaction techniques for touchscreen in-vehicle infotainment systems

Haptics has been an integral part of multimodal systems in Human Computer Interaction (HCI). The ability to touch and sense virtual components of any system has long been the holy grail of HCI, which is particularly useful in mission critical environments where other modalities are weakened by environmental noise. Haptics also compliments most modalities of interaction by reinforcing the intimate and personal aspect of interaction. Haptics becomes much more important in environments that prove to be far too noisy for audio feedback.The driving environment is one such area, which the addition of haptics is not just additive, but critical in HCI. However, most of the research on haptic feedback in the car has been conducted using vibro-tactile feedback. In this paper, we present a system in which we have developed a novel haptic feedback environment using pneumatic and vibrotactile technologies, to facilitate in carcommunication, using the In-vehicle Infotainment System. Our aim was to build on the user haptic perception and experience the advance multimodal interaction system by utilizing available feedback techniques in, in-car interaction. The qualitative results of our study show that haptic feedback has great potential for safety and communication use, but the difficulty in interpreting haptic signals requires additional translation means ('semantic linkages'), to support the right interpretation of the haptic information.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Augmented Human Activities (AHA)
Contributors: Farooq, A., Evreinov, G., Raisamo, R., Mäkinen, E., Nukarinen, T., Majeed, A. A.
Number of pages: 11
Pages: 32-42
Publication date: 2 Feb 2014

Host publication information

Title of host publication: ICOSST 2014 - 2014 International Conference on Open Source Systems and Technologies, Proceedings
Publisher: Institute of Electrical and Electronics Engineers Inc.
Article number: 7029317
ISBN (Electronic): 9781479920549
ASJC Scopus subject areas: Computer Science Applications, Software
Keywords: haptic feedback, human computer iteraction, In-Vehicle Infotainment Systems, Multimodal Interaction, pneumatic feedback, tactile/vibro-tactile feedback
Source: Scopus
Source ID: 84946688361

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Picosecond MOPA with ytterbium doped tapered double clad fiber

The powerful picosecond master oscillator - power amplifier (MOPA) with double clad ytterbium doped tapered fiber as a buster amplifier has been demonstrated in the presented paper. The developed MOPA has 60ps pulses with 0.3mJ pulse energy and 5MW peak power.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research group: Ultrafast and intense lasers, Photonics, Research group: Nanophotonics, Ampliconyx Ltd, Institute of Radio Engineering and Electronics of the Russian Academy of Sciences
Contributors: Filippov, V., Vorotynskii, A., Noronen, T., Gumenyuk, R., Chamorovskii, Y., Golant, K.
Number of pages: 6
Publication date: 2017

Host publication information

Title of host publication: Fiber Lasers XIV : Technology and Systems
Volume: 10083
Publisher: SPIE
Article number: 100831H
ISBN (Electronic): 9781510606074

Publication series

Name: Proceedings of SPIE
Publisher: SPIE
No.: 10083
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: Fiber laser, Picosecond laser, Ultrafast laser
Source: Scopus
Source ID: 85019465842

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Distributed pervasive services using group service communication supporting body area networks

Body Area Network (BAN) provide critical data in healthcare monitoring environments, where such monitoring can be performed in a ubiquitous manner using various miniature device technologies. However, a key requirement in supporting the full capacity of a BAN is an efficient distribution, processing and application of the acquired data. The architecture and applications which capitalize on the huge potential of this data, provide significant added value to BANs. This paper proposes an architecture which is service oriented and integrates the data produced by BANs into a healthcare environment, supporting remote interactions between medical officers to maximise patient care. The dynamic interaction of distributed services in this diverse environment is a key ingredient in the way technology can enhance healthcare. The architecture defines group services which facilitate the control of the dynamic behaviour of services within this heterogeneous environment.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Wireless Communications and Positioning (WICO), Waterford Institute of Technology, Telecommunications Software and Systems Group (TSSG), Technical University of Dortmund, Brigham and Women's Hospital
Contributors: Foley, C., Balasubramaniam, S., Botvich, D., Donnelly, W., Michaelis, S., Schmutzler, J., Stair, T.
Publication date: 29 Nov 2011

Host publication information

Title of host publication: BODYNETS 2008 - 3rd International ICST Conference on Body Area Networks
Publisher: ICST
ISBN (Electronic): 9789639799172
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Artificial Intelligence
Keywords: Groups, Health-care, Monitoring, Policies, Services
Source: Scopus
Source ID: 84912141219

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Optical fiber amplifier with spectral compression elements for high-power laser pulse generation

We report main features of spectral compression of parabolic pulses in nonlinear optical fibers. It is shown that the variational analysis correctly describes evolution of pulse parameters during spectral compression. The model of cascade amplifier system employing spectral compression is developed to achieve superior spectral densities. The proposed configuration is promising as optical pulse preamplifier for operation in the high-energy pulse laser systems.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Optoelectronics Research Centre, University de Mons, Ulyanovsk State University, Optoelectronic Research Center
Contributors: Fotiadi, A. A., Korobko, D. A., Okhotnikov, O. G., Zolotovskii, I. O.
Publication date: 2016

Host publication information

Title of host publication: Nonlinear Optics and its Applications IV
Volume: 9894
Publisher: SPIE
Article number: 989411
ISBN (Electronic): 9781510601390

Publication series

Name: Proceedings of SPIE
Volume: 9894
ISSN (Print): 0277-786X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Electrical and Electronic Engineering, Applied Mathematics
Keywords: Fiber optics amplifiers, high-power laser pulses, nonlinear spectral compression, phase self-modulation
Source: Scopus
Source ID: 84985911601

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Email intensity, productivity and control in the knowledge worker's performance on the desktop

Experiencing stress, disturbing interruptions, loss of ability to concentrate, hurry and challenges to meet tight deadlines at work are very common in working life. At the same time, while variety of digital communication channels like instant messaging, video calls and social networking sites are getting more popular in working life, email is still intensively utilized work communication media. The goal of the empirical field study analyzing daily desktop computing of knowledge workers was to analyze association between email intensity in work time spending and subjectively experienced quality of work performance. It was found that while intensive email use does not impair subjectively experienced productivity, it may harm ability to concentrate, may increase forgetfulness and inability to solve problems at work effectively. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Augmented Human Activities (AHA), University of Tampere
Contributors: Franssila, H., Okkonen, J., Savolainen, R.
Number of pages: 4
Pages: 19-22
Publication date: 4 Nov 2014

Host publication information

Title of host publication: MINDTREK 2014 - Proceedings of the 18th International Academic MindTrek Conference: "Media Business, Management, Content and Services"
Publisher: Association for Computing Machinery, Inc
ISBN (Electronic): 9781450330060
ASJC Scopus subject areas: Computer Science Applications, Human-Computer Interaction, Software
Keywords: Email intensity, Knowledge work, Measurement, Productivity, Work performance
Source: Scopus
Source ID: 84964078815

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Simultenious binary hash and features learning for image retrieval

Content-based image retrieval systems have plenty of applications in modern world. The most important one is the image search by query image or by semantic description. Approaches to this problem are employed in personal photo-collection management systems, web-scale image search engines, medical systems, etc. Automatic analysis of large unlabeled image datasets is virtually impossible without satisfactory image-retrieval technique. It's the main reason why this kind of automatic image processing has attracted so much attention during recent years. Despite rather huge progress in the field, semantically meaningful image retrieval still remains a challenging task. The main issue here is the demand to provide reliable results in short amount of time. This paper addresses the problem by novel technique for simultaneous learning of global image features and binary hash codes. Our approach provide mapping of pixel-based image representation to hash-value space simultaneously trying to save as much of semantic image content as possible. We use deep learning methodology to generate image description with properties of similarity preservation and statistical independence. The main advantage of our approach in contrast to existing is ability to fine-tune retrieval procedure for very specific application which allow us to provide better results in comparison to general techniques. Presented in the paper framework for data- dependent image hashing is based on use two different kinds of neural networks: convolutional neural networks for image description and autoencoder for feature to hash space mapping. Experimental results confirmed that our approach has shown promising results in compare to other state-of-the-art methods.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Signal Processing, Research group: Computational Imaging-CI, Don State Technical University, Univ of Texas at San Antonio
Contributors: Frantc, V. A., Makov, S. V., Voronin, V. V., Marchuk, V. I., Semenishchev, E. A., Egiazarian, K. O., Agaian, S.
Publication date: 2016

Host publication information

Title of host publication: Mobile Multimedia/Image Processing, Security, and Applications 2016
Publisher: SPIE
Article number: 986902
ISBN (Electronic): 9781510601109

Publication series

Name: SPIE Conference Proceedings
Volume: 9869
ISSN (Print): 0277-786X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: autoencoder, content{based image retrieval, deep convolutional neural network, semantic hashing
Source: Scopus
Source ID: 84991480411

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Machine learning for adaptive bilateral filtering

We describe a supervised learning procedure for estimating the relation between a set of local image features and the local optimal parameters of an adaptive bilateral filter. A set of two entropy-based features is used to represent the properties of the image at a local scale. Experimental results show that our entropy-based adaptive bilateral filter outperforms other extensions of the bilateral filter where parameter tuning is based on empirical rules. Beyond bilateral filter, our learning procedure represents a general framework that can be used to develop a wide class of adaptive filters.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Signal Processing, Research group: Computational Imaging-CI, Signal Processing Research Community (SPRC), NVIDIA
Contributors: Frosio, I., Egiazarian, K., Pulli, K.
Publication date: 2015

Host publication information

Title of host publication: Image Processing: Algorithms and Systems XIII
Volume: 9399
Publisher: SPIE
Article number: 939908
ISBN (Print): 9781628414899

Publication series

Name: Proceedings of SPIE - The International Society for Optical Engineering
Publisher: The International Society for Optical Engineering
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics
Keywords: Adaptive bilateral filter, Denoising, Machine learning, Optimization, Training
Source: Scopus
Source ID: 84928485491

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Soft computing-based controller design for a telecom rectifier

Presents controller design for a telecommunications rectifier based on analogue, digital and fuzzy logic approaches. The required output characteristics contain three modes of operation-constant-voltage, modified constant-power and constant-current. The proposed analogue solution is well proven in practical use and shows excellent performance. The digital solution is simulated and preliminary results predict its applicability. The fuzzy logic solution is outlined for constant-voltage and overload controllers. Preliminary simulations are promising but further optimization must be carried out.

General information

Publication status: Published
MoE publication type: Not Eligible
Organisations: Aalto University, University of Oulu, Efore Oy
Contributors: Gadoura, I., Suntio, T., Zenger, K., Vallittu, P.
Number of pages: 6
Pages: 80-85
Publication date: 1 Jan 1999

Host publication information

Title of host publication: SMCia 1999 - Proceedings of the 1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications
Publisher: Institute of Electrical and Electronics Engineers Inc.
Editor: Martikainen, J.
Article number: 782712
ISBN (Electronic): 0780352807, 9780780352803

Publication series

Name: SMCia 1999 - Proceedings of the 1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications
ASJC Scopus subject areas: Computer Science Applications, Control and Optimization
Source: Scopus
Source ID: 84952779655

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Smart home gateway system over Bluetooth low energy with wireless energy transfer capability

As billions of sensors and smart meters connect to the Internet of Things (IoT), current wireless technologies are taking decisive steps to ensure their sustainable operation. One popular IoT scenario features a smart home service gateway, which becomes the central point of user’s home environment facilitating a multitude of tasks. Given that most IoT devices connected to residential gateway are small-scale and battery-powered, the key challenge is to extend their lifetime without recharging/replacing batteries. To this end, a novel radio technology named Bluetooth low energy (BLE) has recently been completed to enable energy-efficient data transfer. Another inspiring innovation is the capability of sensors to harvest wireless energy in their local environment. In this work, we envision a scenario where many in-home sensors are communicating with a smart gateway over the BLE protocol, while at the same time harvesting RF energy transmitted from the gateway wirelessly via a dedicated radio interface. We thoroughly investigate performance limitations of such wireless energy transfer interface (WETI) with dynamic analytical model and with important practical considerations. Our methodology delivers the upper bound on WETI operation coupled with BLE-based communication, which characterizes ultimate system performance over the class of practical radio and energy resource management algorithms.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, Wireless Communications and Positioning (WICO), International Insitute for Advanced Aerospace Technologies of St. Petersburg State University of Aerospace Instrumentation
Contributors: Galinina, O., Mikhaylov, K., Andreev, S., Turlikov, A., Koucheryavy, Y.
Publication date: 2015
Peer-reviewed: Yes

Publication information

Journal: Eurasip Journal on Wireless Communications and Networking
Volume: 2015
Issue number: 1
Article number: 178
ISSN (Print): 1687-1472
Ratings: 
  • Scopus rating (2015): CiteScore 0.96 SJR 0.362 SNIP 1.138
Original language: English
ASJC Scopus subject areas: Computer Networks and Communications, Signal Processing, Computer Science Applications
Keywords: Bluetooth low energy, Internet of Things, Sensors, Smart home gateway, Wireless energy transfer
Source: Scopus
Source ID: 84938840129

Research output: Contribution to journalArticleScientificpeer-review

On feasibility of 5G-grade dedicated RF charging technology for wireless-powered wearables

For decades, wireless energy transfer and harvesting received focused attention in the research community, but with limited practical applications. Recently, with the development of fifth-generation (5G) mobile technology, the concept of dedicated radio-frequency (RF) charging promises to support the growing market of wearable devices. In this work we shed light on the potential of wireless RF power transfer by elaborating upon feasible system parameters and architecture, emphasizing the basic tradeoffs behind omni-directional and directional out-of-band energy transmission, providing system- level performance evaluation, and discussing open challenges on the way to sustainable wireless- powered wearables. The key aspects highlighted in this article include system operation choices, user mobility effects, impact of network and user densities, and regulatory issues. Ultimately, our research aims to facilitate the integration of wireless RF charging technology into the emerging 5G ecosystem.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, University of Manitoba, Univ of Oulu
Contributors: Galinina, O., Tabassum, H., Mikhaylov, K., Andreev, S., Hossain, E., Koucheryavy, Y.
Number of pages: 10
Pages: 28-37
Publication date: 1 Apr 2016
Peer-reviewed: Yes

Publication information

Journal: IEEE Wireless Communications
Volume: 23
Issue number: 2
ISSN (Print): 1536-1284
Ratings: 
  • Scopus rating (2016): CiteScore 9.15 SJR 2.082 SNIP 3.738
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 84968750633

Research output: Contribution to journalArticleScientificpeer-review

Wirelessly powered urban crowd sensing over wearables: Trading energy for data

In this article, we put forward the paradigm of mobile crowd sensing based on ubiquitous wearable devices carried by human users. The key challenge for mass user involvement in prospective urban crowd sensing applications, such as monitoring of large-scale phenomena (e.g., traffic congestion and air pollution levels), is the appropriate sources of motivation. We thus advocate for the use of wireless power transfer provided in exchange for sensed data to incentivize the owners of wearables to participate in collaborative data collection. Based on this construction, we develop a novel concept of wirelessly powered crowd sensing and offer the corresponding network architecture considerations together with a systematic review of wireless charging techniques to support implementation. Further, we contribute a detailed system-level feasibility study that reports on the achievable performance levels for the envisioned setup. Finally, the underlying energy- data trading mechanisms are discussed, and the work concludes with outlining open research opportunities.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Electronics and Communications Engineering, Peoples' Friendship University of Russia, Univ of Oulu, University of Hong Kong
Contributors: Galinina, O., Mikhaylov, K., Huang, K., Andreev, S., Koucheryavy, Y.
Number of pages: 10
Pages: 140-149
Publication date: 1 Apr 2018
Peer-reviewed: Yes

Publication information

Journal: IEEE Wireless Communications
Volume: 25
Issue number: 2
ISSN (Print): 1536-1284
Ratings: 
  • Scopus rating (2018): CiteScore 11.8 SJR 2.352 SNIP 4.039
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 85046828147

Research output: Contribution to journalArticleScientificpeer-review

Analyzing Effects of Directional Deafness on mmWave Channel Access in Unlicensed Bands

Directional deafness problem is one of the most important challenges in beamforming-based channel access at mmWave frequencies, which is believed to have detrimental effects on system performance in form of excessive delays and significant packet drops. In this paper, we contribute a quantitative analysis of deafness in directional random access systems operating in unlicensed bands by relying on stochastic geometry formulations. We derive a general numerical approach that captures the behavior of deafness probability as well as provide a closed-form solution for a typical sector-shaped antenna model, which is then may be extended to a more realistic two-sector pattern. Finally, employing contemporary IEEE 802.11ad modeling numerology, we illustrate our analysis revealing the importance of deafness-related considerations and their system- level impact.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Electronics and Communications Engineering, Intel Corporation
Contributors: Galinina, O., Pyattaev, A., Johnsson, K., Andreev, S., Koucheryavy, Y.
Number of pages: 7
Pages: 1-7
Publication date: 24 Jan 2018

Host publication information

Title of host publication: 2017 IEEE Globecom Workshops, GC Wkshps 2017 - Proceedings
Publisher: IEEE
ISBN (Electronic): 9781538639207
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Hardware and Architecture, Safety, Risk, Reliability and Quality
Source: Scopus
Source ID: 85050472068

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Wireless communications at the nanoscale

The importance of wireless communications is increasing thanks to the numerous types of services supported by wireless devices, which allow the realization of the always best connected vision. However, the dramatic boost toward miniaturization and nanoscale technologies requires rethinking of wireless communications on such a scale. While the transformation from wired to wireless communication has improved connectivity for end users and spawned new research areas, the field as a whole is approaching a crossroad. The main reason for this is the emergence of miniature devices, in particular devices that are built from nano components, which has led to new challenges for the wireless communication paradigm. Calcium signaling is a natural intercellular calcium wave found in biology cells that enables communication at short range between cells. Using this form of signaling can enable short-range communication that exploits a combination of biological constructs and engineered cells.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Wireless Communications and Positioning (WICO), Università degli Studi di Catania, Next-Generation Wireless Communications Laboratory (NWCL), Bio-Inspired Network Research Unit, TSSG, starMobile, Inc.
Contributors: Galluccio, L., Akan, O. B., Balasubramaniam, S., Sivakumar, R.
Number of pages: 2
Pages: 10-11
Publication date: 2012
Peer-reviewed: Yes

Publication information

Journal: IEEE Wireless Communications
Volume: 19
Issue number: 5
Article number: 6339466
ISSN (Print): 1536-1284
Ratings: 
  • Scopus rating (2012): CiteScore 4.99 SJR 1.718 SNIP 3.884
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications
Source: Scopus
Source ID: 84879211532

Research output: Contribution to journalArticleScientificpeer-review

MAST: Mask-accelerated shearlet transform for densely-sampled light field reconstruction

Shearlet Transform (ST) is one of the most effective algorithms for the Densely-Sampled Light Field (DSLF) reconstruction from a Sparsely-Sampled Light Field (SSLF) with a large disparity range. However, ST requires a precise estimation of the disparity range of the SSLF in order to design a shearlet system with decent scales and to pre-shear the sparsely-sampled Epipolar-Plane Images (EPIs) of the SSLF. To overcome this limitation, a novel coarse-to-fine DSLF reconstruction method, referred to as Mask-Accelerated Shearlet Transform (MAST), is proposed in this paper. Specifically, a state-of-the-art learning-based optical flow method, FlowNet2, is employed to estimate the disparities of a SSLF. The estimated disparities are then utilized to roughly estimate the densely-sampled EPIs for the sparsely-sampled EPIs of the SSLF. Finally, an elaborately-designed soft mask for a coarsely-inpainted EPI is exploited to perform an iterative refinement on this EPI. Experimental results on nine challenging horizontal-parallax real-world SSLF datasets with large disparity ranges (up to 35 pixels) demonstrate the effectiveness and efficiency of the proposed method over the other state-of-the-art approaches.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Computing Sciences, Research group: 3D MEDIA, Computer Science Institute
Contributors: Gao, Y., Bregovic, R., Gotchev, A., Koch, R.
Number of pages: 6
Pages: 187-192
Publication date: 1 Jul 2019

Host publication information

Title of host publication: 2019 IEEE International Conference on Multimedia and Expo, ICME 2019
Publisher: IEEE
ISBN (Electronic): 9781538695524
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications
Keywords: Densely-sampled light field reconstruction, Mask-accelerated shearlet transform, Parallax view generation, Shearlet transform, View synthesis
Electronic versions: 
Source: Scopus
Source ID: 85070959105

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Effects of blockage in deploying mmWave drone base stations for 5g networks and beyond

Due to their unconstrained mobility and capability to carry goods or equipment, unmanned aerial vehicles (UAVs) or drones are considered as a part of the fifth-generation (5G) wireless networks and become attractive candidates to carry a base station (BS). As 5G requirements apply to a broad range of uses cases, it is of particular importance to satisfy those during spontaneous and temporary events, such as a marathon or a rural fair. To be able to support these scenarios, mobile operators need to deploy significant radio access resources quickly and on demand. Accordingly, by focusing on 5G cellular networks, we investigate the use of drone-assisted communication, where a drone is equipped with a millimeter-wave (mmWave) BS. Being a key technology for 5G, mmWave is able to facilitate the provisioning of the desired per-user data rates as drones arrive at the service area whenever needed. Therefore, in order to maximize the benefits of mmWave-drone-BS utilization, this paper proposes a methodology for its optimized deployment, which delivers the optimal height, coordinates, and coverage radius of the drone-BS by taking into account the human body blockage effects over a mmWave-specific channel model. Moreover, our methodology is able to maximize the number of offloaded users by satisfying the target signal quality at the cell edge and considering the maximum service capacity of the drone-BS. It was observed that the mmWave-specific features are extremely important to consider when targeting efficient drone-BS utilization and thus should be carefully incorporated into analysis.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Electronics and Communications Engineering, Carleton University
Contributors: Gapeyenko, M., Bor-Yaliniz, I., Andreev, S., Yanikomeroglu, H., Koucheryavy, Y.
Number of pages: 6
Pages: 1-6
Publication date: 3 Jul 2018

Host publication information

Title of host publication: 2018 IEEE International Conference on Communications Workshops
Publisher: IEEE
ISBN (Electronic): 9781538643280
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Hardware and Architecture
Keywords: 5G networks and beyond, Drone-cell communications, Human body blockage, MmWave, Network slicing
Source: Scopus
Source ID: 85050308378

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Quantitative + qualitative information for heritage conservation: An open science research for paving 'collaboratively' the way to historical-BIM

Insofar as our cultural heritage (CH) has become not only an economic resource but a key element in defining our identity, its accurate and flexible documentation has emerged as an essential task. The generation of 3D information with physical and functional characteristics is now possible through the connection of survey data with Historical Building Information Modeling (HBIM). However, few studies have focused on the semantic enrichment process of models based on point clouds, especially on the field of cultural heritage. These singularities make the conversion of point cloud to 'as-built' HBIM an expensive process from the mathematical and computational viewpoint. At present, there is no software that guarantees automatic and efficient data conversion in architectural or urban contexts. The ongoing research 'Documenting and Visualizing Industrial Heritage' is conducted by the School of Architecture, Tampere University of Technology, Finland based on an Open Notebook Reserarch Model. It is focused on advance the knowledge of digital operating environments for the representation and management of historical buildings and sites. On the one hand, the research is advancing in three-dimensional 'as-built' modeling based on remote sensing data, while on the other hand is aiming to incorporate more qualitative information based on concepts of production and management in the lifecycle of the built environment. The purpose of this presentation is to discuss the different approaches to date on the HBIM generation chain: from 3D point cloud data collection to semantically enriched parametric models.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: School of Architecture, Research group: EDGE, Michigan Technological University, University of Valladolid
Contributors: Garcia-Fernandez, J., Joutsiniemi, A., Ahn, Y., Fernandez, J. J.
Number of pages: 2
Pages: 207-208
Publication date: 24 Feb 2016

Host publication information

Title of host publication: 2015 Digital Heritage International Congress, Digital Heritage 2015
Publisher: IEEE
ISBN (Print): 9781509000487
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Science Applications, Information Systems, Archaeology, Cultural Studies
Keywords: BIM, Conservation, HBIM, Heritage, Open Science, Remote Sensing
Source: Scopus
Source ID: 84965156312

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Action and power efficiency in self-organization: The case for growth efficiency as a cellular objective in escherichia coli

Complex systems of different nature self-organize using common mechanisms. One of those is increase of their efficiency. The level of organization of complex systems of different nature can be measured as increased efficiency of the product of time and energy for an event, which is the amount of physical action consumed by it. Here we apply a method developed in physics to study the efficiency of biological systems. The identification of cellular objectives is one of the central topics in the research of microbial metabolic networks. In particular, the information about a cellular objective is needed in flux balance analysis which is a commonly used constrained-based metabolic network analysis method for the prediction of cellular phenotypes. The cellular objective may vary depending on the organism and its growth conditions. It is probable that nutritionally scarce conditions are very common in the nature, and, in order to survive in those conditions, cells exhibit various highly efficient nutrient-processing systems like enzymes. In this study, we explore the efficiency of a metabolic network in transformation of substrates to new biomass, and we introduce a new objective function simulating growth efficiency. We are searching for general principles of self-organization across systems of different nature. The objective of increasing efficiency of physical action has been identified previously as driving systems toward higher levels of self-organization. The flow agents in those networks are driven toward their natural state of motion, which is governed by the principle of least action in physics. We connect this to a power efficiency principle. Systems structure themselves in a way to decrease the average amount of action or power per one event in the system. In this particular example, action efficiency is examined in the case of growth efficiency of E. coli. We derive the expression for growth efficiency as a special case of action (power) efficiency to justify it through first principles in physics. Growth efficiency as a cellular objective of E. coli coincides with previous research on complex systems and is justified by first principles in physics. It is expected and confirmed outcome of this work. We examined the properties of growth efficiency using a metabolic model for Escherichia coli. We found that the maximal growth efficiency is obtained at a finite nutrient uptake rate. The rate is substrate dependent and it typically does not exceed 20 mmol/h/gDW. We further examined whether the maximal growth efficiency could serve as a cellular objective function in metabolic network analysis and found that cellular growth in batch cultivation can be predicted reasonably well under this assumption. The fit to experimental data was found slightly better than with the commonly used objective function of maximal growth rate. Based on our results, we suggest that the maximal growth efficiency can be considered a plausible optimization criterion in metabolic modeling for E. coli. In the future, it would be interesting to study growth efficiency as an objective also in other cellular systems and under different cultivation conditions.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: BioMediTech, Wireless Innovation Laboratory at Worcester Polytechnic Institute, Assumption College, Tufts University, Complex Systems Center, University of Vermont
Contributors: Georgiev, G. Y., Aho, T., Kesseli, J., Yli-Harja, O., Kauffman, S. A.
Number of pages: 16
Pages: 229-244
Publication date: 2019

Host publication information

Title of host publication: Evolution, Development and Complexity - Multiscale Evolutionary Models of Complex Adaptive Systems
Publisher: Springer
Editors: Flores Martinez, C. L., Georgiev, G. Y., Smart, J. M., Price, M. E.
ISBN (Print): 9783030000745

Publication series

Name: Springer Proceedings in Complexity
ISSN (Print): 2213-8684
ISSN (Electronic): 2213-8692
ASJC Scopus subject areas: Applied Mathematics, Modelling and Simulation, Computer Science Applications
Keywords: Action efficiency, Constraint-based modeling, Metabolism, Microorganism, Principle of least action

Bibliographical note

jufoid=84878

Source: Scopus
Source ID: 85071889407

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Prioritized centrally-controlled resource allocation in integrated multi-RAT HetNets

Given the importance of multi-radio heterogeneous networks (HetNets) in delivering more throughput and better connectivity experience to today's wireless users, we investigate the prioritized centrally-controlled resource allocation mechanisms in such systems. First, we theoretically formulate the problem of assisted rate allocation across multiple radio access technologies (RATs) as a special case of relative max-min fairness problem with bifurcated (splittable) traffic flows, which can then be solved by employing the standard linear optimization techniques. Our proposed solution delivers certain minimum guarantees to all the network users, while the rest of system resources are divided proportionally to the preset priority of the users. The priorities in our system may correspond to different subscription/pricing plans of a network operator. Finally, we demonstrate the practical benefits of the proposed resource allocation scheme with system-level simulations, as well as discuss its implementation within a testbed prototype based on the OpenFlow architecture.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Electronics and Communications Engineering, Tampere University of Technology, Research group: Emerging Technologies for Nano-Bio-Info-Cogno, Wireless Communications and Positioning (WICO), Intel Corporation
Contributors: Gerasimenko, M., Moltchanov, D., Florea, R., Himayat, N., Andreev, S., Koucheryavy, Y.
Number of pages: 7
Publication date: 1 Jul 2015

Host publication information

Title of host publication: IEEE Vehicular Technology Conference
Volume: 2015-July
Publisher: The Institute of Electrical and Electronics Engineers, Inc.
ISBN (Print): 9781479980888
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Applied Mathematics

Bibliographical note

AUX=elt,"Florea, Roman"

Source: Scopus
Source ID: 84940398708

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Face typing: Vision-based perceptual interface for hands-free text entry with a scrollable virtual keyboard

We present a novel vision-based perceptual user interface for hands-free text entry that utilizes face detection and visual gesture detection to manipulate a scrollable virtual keyboard. A thorough experimentation was undertaken to quantitatively define a performance of the interface in hands-free pointing, selection and scrolling tasks. The experiments were conducted with nine participants in laboratory conditions. Several face and head gestures were examined for detection robustness and user convenience. The system gave a reasonable performance in terms of high gesture detection rate and small false alarm rate. The participants reported that a new interface was easy to understand and operate. Encouraged by these results, we discuss advantages and constraints of the interface and suggest possibilities for design improvements.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Augmented Human Activities (AHA)
Contributors: Gizatdinova, Y., Spakov, Ǒ., Surakka, V.
Number of pages: 7
Pages: 81-87
Publication date: 2012

Host publication information

Title of host publication: 2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012
Article number: 6162997
ISBN (Print): 9781467302333
ASJC Scopus subject areas: Computer Vision and Pattern Recognition, Computer Science Applications
Source: Scopus
Source ID: 84860699077

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Unite and conquer: Univariate and multivariate approaches for finding differentially expressed gene sets

Motivation: Recently, many univariate and several multivariate approaches have been suggested for testing differential expression of gene sets between different phenotypes. However, despite a wealth of literature studying their performance on simulated and real biological data, still there is a need to quantify their relative performance when they are testing different null hypotheses. Results: In this article, we compare the performance of univariate and multivariate tests on both simulated and biological data. In the simulation study we demonstrate that high correlations equally affect the power of both, univariate as well as multivariate tests. In addition, for most of them the power is similarly affected by the dimensionality of the gene set and by the percentage of genes in the set, for which expression is changing between two phenotypes. The application of different test statistics to biological data reveals that three statistics (sum of squared t-tests, Hotelling's T2, N-statistic), testing different null hypotheses, find some common but also some complementing differentially expressed gene sets under specific settings. This demonstrates that due to complementing null hypotheses each test projects on different aspects of the data and for the analysis of biological data it is beneficial to use all three tests simultaneously instead of focusing exclusively on just one.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: University of Rochester Medical Center, Computational Biology and Machine Learning, Queen's University, Belfast, Northern Ireland
Contributors: Glazko, G. V., Emmert-Streib, F.
Number of pages: 7
Pages: 2348-2354
Publication date: Sep 2009
Peer-reviewed: Yes

Publication information

Journal: Bioinformatics
Volume: 25
Issue number: 18
ISSN (Print): 1367-4803
Ratings: 
  • Scopus rating (2009): SJR 3.111 SNIP 1.834
Original language: English
ASJC Scopus subject areas: Biochemistry, Molecular Biology, Computational Theory and Mathematics, Computer Science Applications, Computational Mathematics, Statistics and Probability
Source: Scopus
Source ID: 69849105388

Research output: Contribution to journalArticleScientificpeer-review

Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems

As the capabilities of Unmanned Aerial Systems (UASs) evolve, their novel and demanding applications emerge, which require improved capacity and reduced latency. Millimeter-wave (mmWave) connections are particularly attractive for UASs due to their predominantly line-of-sight regime and better signal locality. In this context, understanding the interactions between the environment, the flight dynamics, and the beam tracking capabilities is a challenge that has not been resolved by today's simulation environments. In this work, we develop the means to model these crucial considerations as well as provide the initial insights into the performance of mmWave-based UAS communications made available with the use of our proposed platform.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Electrical Engineering, Research group: Wireless Communications and Positioning, Tampere University, University of Pennsylvania
Contributors: Godbole, T. R., Calvo-Fullana, M., Pyattaev, A., Mox, D., Andreev, S., Ribeiro, A., Valkama, M.
Publication date: 1 Jul 2019

Host publication information

Title of host publication: 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
Publisher: IEEE
ISBN (Electronic): 9781538665282

Publication series

Name:  IEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN (Electronic): 1948-3252
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Information Systems
Keywords: beamforming, Millimeter-wave (mmWave), Robot Operating System (ROS), Unmanned Aerial System (UAS)

Bibliographical note

jufoid=57486
INT=elen,"Godbole, Tanmay Ram"

Source: Scopus
Source ID: 85072324343

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Neighborhood Matching for Image Retrieval

In the last few years, large-scale image retrieval has attracted a lot of attention from the multimedia community. Usual approaches addressing this task first generate an initial ranking of the reference images using fast approximations that do not take into consideration the spatial arrangement of local features in the image (e.g., the bag-of-words paradigm). The top positions of the rankings are then re-estimated with verification methods that deal with more complex information, such as the geometric layout of the image. This verification step allows pruning of many false positives at the expense of an increase in the computational complexity, which may prevent its application to large-scale retrieval problems. This paper describes a geometric method known as neighborhood matching (NM), which revisits the keypoint matching process by considering a neighborhood around each keypoint and improves the efficiency of a geometric verification step in the image search system. Multiple strategies are proposed and compared to incorporate NM into a large-scale image retrieval framework. A detailed analysis and comparison of these strategies and baseline methods have been investigated. The experiments show that the proposed method not only improves the computational efficiency, but also increases the retrieval performance and outperforms state-of-the-art methods in standard datasets, such as the Oxford 5 k and 105 k datasets, for which the spatial verification step has a significant impact on the system performance.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Signal Processing, Universidad Carlos III de Madrid, Purdue University
Contributors: González-Díaz, I., Birinci, M., Díaz-De-María, F., Delp, E. J.
Number of pages: 15
Pages: 544-558
Publication date: 1 Mar 2017
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Multimedia
Volume: 19
Issue number: 3
ISSN (Print): 1520-9210
Ratings: 
  • Scopus rating (2017): CiteScore 5.24 SJR 0.954 SNIP 2.283
Original language: English
ASJC Scopus subject areas: Signal Processing, Media Technology, Computer Science Applications, Electrical and Electronic Engineering
Keywords: Geometric verification, image retrieval, neighborhood matching (NM), robust estimation
Source: Scopus
Source ID: 85013466531

Research output: Contribution to journalArticleScientificpeer-review

Random Value Impulse Noise Removal Based on Most Similar Neighbors

A novel filter based on four most similar neighbors (MSN) is proposed in this paper which considers all the pixels of the sliding window except the central pixel after taking the first order absolute differences from the central pixel. The proposed filter is composed of two steps: noise detection followed by filtering. In noise detection, first order absolute differences are calculated and sorted in ascending order. Clusters of equal sizes are formed based on most similar pixels and then fuzzy rules are applied to detect the noise present in the current pixel. Threshold parameters are set adaptively. In filtering phase, median based fuzzy filter is used to restore the corrupted pixels. Experimental results show that the proposed filter outperforms several state-of-the-art filers for random value impulse noise removal in an image.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Electronics and Communications Engineering, International Islamic University Islamabad
Contributors: Habib, M., Rasheed, S., Hussain, A., Ali, M.
Number of pages: 5
Pages: 329-333
Publication date: 26 Feb 2016

Host publication information

Title of host publication: 2015 13th International Conference on Frontiers of Information Technology (FIT)
Publisher: IEEE
ISBN (Print): 9781467396660
ASJC Scopus subject areas: Health Informatics, Computer Science Applications, Signal Processing
Keywords: fuzzy logic, Image processing, impulse noise, noise removal

Bibliographical note

INT=elt,"Ali, Mubashir"

Source: Scopus
Source ID: 84964689604

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Estimation of GFP-tagged RNA numbers from temporal fluorescence intensity data

Motivation: MS2-GFP-tagging of RNA is currently the only method to measure intervals between consecutive transcription events in live cells. For this, new transcripts must be accurately detected from intensity time traces. Results: We present a novel method for automatically estimating RNA numbers and production intervals from temporal data of cell fluorescence intensities that reduces uncertainty by exploiting temporal information. We also derive a robust variant, more resistant to outliers caused e.g. by RNAs moving out of focus. Using Monte Carlo simulations, we show that the quantification of RNA numbers and production intervals is generally improved compared with previous methods. Finally, we analyze data from live Escherichia coli and show statistically significant differences to previous methods. The new methods can be used to quantify numbers and production intervals of any fluorescent probes, which are present in low copy numbers, are brighter than the cell background and degrade slowly. Availability: Source code is available under Mozilla Public License at http://www.cs.tut.fi/%7ehakkin22/jumpdet/. Contact:

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Signal Processing, Research group: Laboratory of Biosystem Dynamics-LBD, Multi-scaled biodata analysis and modelling (MultiBAM)
Contributors: Häkkinen, A., Ribeiro, A. S.
Number of pages: 7
Pages: 69-75
Publication date: 1 Jan 2015
Peer-reviewed: Yes

Publication information

Journal: Bioinformatics
Volume: 31
Issue number: 1
ISSN (Print): 1367-4803
Ratings: 
  • Scopus rating (2015): CiteScore 6.06 SJR 4.97 SNIP 2.151
Original language: English
ASJC Scopus subject areas: Biochemistry, Molecular Biology, Computational Theory and Mathematics, Computer Science Applications, Computational Mathematics, Statistics and Probability, Medicine(all)

Bibliographical note

Contribution: organisation=sgn,FACT1=1<br/>Portfolio EDEND: 2014-09-15<br/>Publisher name: Oxford University Press

Source: researchoutputwizard
Source ID: 396

Research output: Contribution to journalArticleScientificpeer-review

Characterizing rate limiting steps in transcription from RNA production times in live cells

Motivation: Single-molecule measurements of live Escherichia coli transcription dynamics suggest that this process ranges from sub- to super-Poissonian, depending on the conditions and on the promoter. For its accurate quantification, we propose a model that accommodates all these settings, and statistical methods to estimate the model parameters and to select the relevant components. Results: The new methodology has improved accuracy and avoids overestimating the transcription rate due to finite measurement time, by exploiting unobserved data and by accounting for the effects of discrete sampling. First, we use Monte Carlo simulations of models based on measurements to show that the methods are reliable and offer substantial improvements over previous methods. Next, we apply the methods on measurements of transcription intervals of different promoters in live E. coli, and show that they produce significantly different results, both in low- and high-noise settings, and that, in the latter case, they even lead to qualitatively different results. Finally, we demonstrate that the methods can be generalized for other similar purposes, such as for estimating gene activation kinetics. In this case, the new methods allow quantifying the inducer uptake dynamics as opposed to just comparing them between cases, which was not previously possible. We expect this new methodology to be a valuable tool for functional analysis of cellular processes using single-molecule or single-event microscopy measurements in live cells.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research group: Laboratory of Biosystem Dynamics-LBD, Department of Signal Processing
Contributors: Häkkinen, A., Ribeiro, A. S.
Number of pages: 7
Pages: 1346-1352
Publication date: 1 May 2016
Peer-reviewed: Yes

Publication information

Journal: Bioinformatics
Volume: 32
Issue number: 9
ISSN (Print): 1367-4803
Ratings: 
  • Scopus rating (2016): CiteScore 6.42 SJR 5.21 SNIP 2.329
Original language: English
ASJC Scopus subject areas: Biochemistry, Molecular Biology, Computational Theory and Mathematics, Computer Science Applications, Computational Mathematics, Statistics and Probability
Source: Scopus
Source ID: 84966359423

Research output: Contribution to journalArticleScientificpeer-review

Transforming homo economicus into homo ludens: A field experiment on gamification in a utilitarian peer-to-peer trading service

During recent years, the addition of game mechanisms to non-game services has gained a relatively large amount of attention. Popular discussion connects gamification to successful marketing and increased profitability through higher customer engagement, however, there is a dearth of empirical studies that confirm such expectations. This paper reports the results of a field experiment, which gamifies a utilitarian peer-to-peer trading service by implementing the game mechanism of badges that users can earn from a variety of tasks. There were 3234 users who were randomly assigned to treatment groups and subjected to different versions of the badge system in a 2 × 2 design. The results show that the mere implementation of gamification mechanisms does not automatically lead to significant increases in use activity in the studied utilitarian service, however, those users who actively monitored their own badges and those of others in the study showed increased user activity.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Mathematical modelling with wide societal impact (MathImpact), Department of Information and Service Economy, Aalto University
Contributors: Hamari, J.
Number of pages: 10
Pages: 236-245
Publication date: Jul 2013
Peer-reviewed: Yes

Publication information

Journal: Electronic Commerce Research and Applications
Volume: 12
Issue number: 4
ISSN (Print): 1567-4223
Ratings: 
  • Scopus rating (2013): CiteScore 2.6 SJR 0.93 SNIP 2.115
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Marketing, Management of Technology and Innovation
Keywords: Badges, Collaborative consumption, Game design, Gamification, Service marketing, Social commerce
Source: Scopus
Source ID: 84883135229

Research output: Contribution to journalArticleScientificpeer-review

Gamification, quantified-self or social networking? Matching users’ goals with motivational technology

Systems and services we employ in our daily life have increasingly been augmented with motivational designs which fall under the classes of (1) gamification, (2) quantified-self and (3) social networking features that aim to help users reach their goals via motivational enforcement. However, users differ in terms of their orientation and focus toward goals and in terms of the attributes of their goals. Therefore, different classes of motivational design may have a differential fit for users. Being able to distinguish the goal profiles of users, motivational design could be better tailored. Therefore, in this study we investigate how different goal foci (outcome and focus), goals orientation (mastery, proving, and avoiding), and goal attributes (specificity and difficulty) are associated with perceived importance of gamification, social networking and quantified-self features. We employ survey data ((Formula presented.)) from users of HeiaHeia; a popular exercise encouragement app. Results indicate that goal-setting related factors of users and attributes of goals are connected with users’ preference over motivational design classes. In particular, the results reveal that being outcome-focused is associated with positive evaluations of gamification and quantified-self design classes. Users with higher proving-orientation perceived gamification and social networking design classes as more important, users with lower goal avoidance-orientation perceived social networking design as more important, whereas users with higher mastery-orientation perceived quantified-self design more important. Users with difficult goals were less likely to perceive gamification and social networking design important, whereas for users with high goal specificity quantified-self features were important. The findings provide insights for the automatic adaptation of motivational designs to users’ goals. However, more research is naturally needed to further investigate generalizability of the results.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Pervasive Computing, Swedish School of Economics and Business Administration, Aalto University
Contributors: Hamari, J., Hassan, L., Dias, A.
Number of pages: 40
Pages: 35–74
Publication date: 2018
Peer-reviewed: Yes
Early online date: 24 Jan 2018

Publication information

Journal: User Modeling and User-Adapted Interaction
Volume: 28
Issue number: 1
ISSN (Print): 0924-1868
Ratings: 
  • Scopus rating (2018): CiteScore 5.45 SJR 0.907 SNIP 3.137
Original language: English
ASJC Scopus subject areas: Education, Human-Computer Interaction, Computer Science Applications
Keywords: Gamification, Goal orientation, Goal-setting, Motivational information system, Quantified-self, Social networking
Source: Scopus
Source ID: 85040920827

Research output: Contribution to journalArticleScientificpeer-review

Uses and Gratifications of Pokémon Go: Why do People Play Mobile Location-Based Augmented Reality Games?

In recent years, augmented reality games (ARGs) such as Pokémon Go have become increasingly popular. These games not only afford a novel gaming experience but also have the potential to alter how players view their physical realities. In addition to the common experiences and gratifications people derive from games, (location-based) ARGs can afford, for example outdoor adventures, communal activities, and health benefits, but also create problems stemming from, for example privacy concerns and poor usability. This raises some important research questions as to what drives people to use these new applications, and why they may be willing to spend money on the content sold within them. In this study, we investigate the various gratifications people derive from ARGs (Pokémon Go) and the relationship of these gratifications with the players’ intentions to continue playing and spending money on them. We employ data drawn from players of Pokémon Go (N = 1190) gathered through an online survey. The results indicate that game enjoyment, outdoor activity, ease of use, challenge, and nostalgia are positively associated with intentions to reuse (ITR), meanwhile outdoor activity, challenge, competition, socializing, nostalgia and ITR are associated with in-app purchase intentions (IPI). In contrast with our expectations, privacy concerns or trendiness were not associated with reuse intentions or IPI.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Pervasive Computing, Gamification Group, George Mason University, University of Turku School of Cultural Production and Landscape Studies
Contributors: Hamari, J., Malik, A., Koski, J., Johri, A.
Publication date: 2019
Peer-reviewed: Yes
Early online date: 2018

Publication information

Journal: International Journal of Human-Computer Interaction
Volume: 35
Issue number: 9
ISSN (Print): 1044-7318
Original language: English
ASJC Scopus subject areas: Human Factors and Ergonomics, Human-Computer Interaction, Computer Science Applications
Keywords: Augmented reality, freemium, gamification, location-based games, Uses and Gratifications
Source: Scopus
Source ID: 85050562939

Research output: Contribution to journalArticleScientificpeer-review

Towards semantic self-description of industrial devices and control system interfaces

Information systems in production environments control and gather data in operations integrating multiple devices and systems with various communication interfaces. With the development of smart industrial environments, needing to connect heterogeneous components into systems communicating over the Internet, integration and interoperability challenges emerge. Self-description is regarded as the capability of devices and systems to include descriptions expressing the offered services and information exchange. Further by semantic descriptions they can provide interpretable, meaningful information how to use the service interface but also how to interpret the capabilities and data. The paper presents a Semantic Web technology based approach to harmonize access and utilization of devices and control systems in distributed and dynamic environments. For this two standards based ontologies are developed: an industrial plant model for hierarchical structure and a state model for operational information of system components. To demonstrate the architecture and developed models the approach is applied to the components of a small-scale example industrial process.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Automation Science and Engineering, Research area: Information Systems in Automation, Fortiss GmbH
Contributors: Hästbacka, D., Zoitl, A.
Number of pages: 6
Pages: 879-884
Publication date: 19 May 2016

Host publication information

Title of host publication: 2016 IEEE International Conference on Industrial Technology (ICIT)
Publisher: Institute of Electrical and Electronics Engineers IEEE
ISBN (Print): 9781467380751
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications
Source: Scopus
Source ID: 84974588366

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Effect of feeder cable's phase tolerance on the first sidelobe level of base station antenna

The sidelobe level of a base station antenna is one of the important parameters to describe the performance of an antenna array. Given a required value of the sidelobe level, we can obtain a set of initial phases, and then further get a set of cable lengths. However, a tolerance (or error range) associated with manufacturing techniques will introduce an error in each cable length, thereby influencing the sidelobe level. This paper uses the knowledge of probability and mathematical statistics to make a statistical analysis for the reliability of the first sidelobe of the antenna array based on Monte Carlo simulations. We also obtain a distribution curve of reliabilities of the first sidelobe versus phase tolerances, which can bring great convenience for practical applications.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Sensing Systems for Wireless Medicine (MediSense), Georgia Institute of Technology, Shenzhen University
Contributors: He, Y., Pan, Z., Yang, J., Sun, G., Tentzeris, M. M.
Number of pages: 5
Pages: 1022-1026
Publication date: 22 Sep 2014

Host publication information

Title of host publication: IWCMC 2014 - 10th International Wireless Communications and Mobile Computing Conference
Publisher: Institute of Electrical and Electronics Engineers Inc.
Article number: 6906495
ISBN (Electronic): 9781479909599
ASJC Scopus subject areas: Computer Science Applications, Electrical and Electronic Engineering, Computer Networks and Communications
Keywords: first sidelobe, MATLAB, Monte Carlo, phase tolerance
Source: Scopus
Source ID: 84908637018

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Roadmap for organic and printed electronics

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research group: Laboratory for Future Electronics, Tampere University of Technology, Augmented Human Activities (AHA), OE-A (Organic and Printed Electronics Association), PolyIC GmbH and Co. KG
Contributors: Hecker, K., Clemens, W., Lupo, D., Breitung, S.
Number of pages: 2
Pages: 125-126
Publication date: 2015

Host publication information

Title of host publication: Smart Systems Integration 2015 - 9th International Conference and Exhibition on Integration Issues of Miniaturized Systems: MEMS, NEMS, ICs and Electronic Components, SSI 2015
Publisher: Apprimus Verlag
ISBN (Electronic): 9783863592967
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Artificial Intelligence
Source: Scopus
Source ID: 84976314633

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Backshoring of production in the context of a small and open Nordic economy

Purpose – The purpose of this paper is to investigate the extent, drivers, and conditions underlying backshoring in the Finnish manufacturing industry, comparing the results to the wider ongoing relocation of production in the international context. Design/methodology/approach – The survey of 229 Finnish manufacturing firms reveals the background, drivers, and patterns of offshoring and backshoring. Findings – Companies that had transferred their production back to Finland were more commonly in industries with relatively higher technology intensity and they were typically larger than the no-movement companies, and with a higher number of plants. They also reported more commonly having a corporate-wide strategy for guiding production location decisions. Research limitations/implications – Backshoring activity in the small and open economy of Finland seems to be higher compared to earlier studies in larger countries. The findings suggest that there is a transformation in the manufacturing industries with some gradual replacement of labor-intensive and lower technology-intensive industries toward higher technology-intensive industries. Practical implications – Moving production across national borders is one option in the strategies of firms to stay competitive. Companies must carefully consider the relevance of various decision-making drivers when determining strategies for their production networks. Social implications – Manufacturing industries have traditionally been important for employment in the relatively small and open economies of the Nordic countries. From the social perspective, it is important to understand the ongoing transformation and its implications. Originality/value – There are few empirical studies available of the ongoing backshoring movement, utilizing data from company decision makers instead of macroeconomic factors.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Industrial and Information Management, Research group: Center for Research on Operations Projects and Services
Contributors: Heikkilä, J., Martinsuo, M., Nenonen, S.
Number of pages: 19
Pages: 658-675
Publication date: May 2018
Peer-reviewed: Yes
Early online date: 27 Nov 2017

Publication information

Journal: Journal of Manufacturing Technology Management
Volume: 29
Issue number: 4
ISSN (Print): 1741-038X
Ratings: 
  • Scopus rating (2018): CiteScore 3.92 SJR 0.954 SNIP 1.355
Original language: English
ASJC Scopus subject areas: Software, Control and Systems Engineering, Computer Science Applications, Strategy and Management, Industrial and Manufacturing Engineering
Keywords: Manufacturing, Manufacturing strategy, Production
Source: Scopus
Source ID: 85039840754

Research output: Contribution to journalArticleScientificpeer-review

Power and wavelength scaling using semiconductor disk laser - bismuth fiber MOPA systems

We present a master oscillator power amplifier (MOPA) system that comprises a mode-locked semiconductor disk laser (SDL) emitting at 1.33 mu m and a bismuth-doped fiber amplifier. The mode-locked SDL was fabricated by wafer bonding an InP-based gain section with a GaAs-based distributed Bragg reflector (DBR) using (3-Mercaptopropyl)trimethoxysilane. The bismuth-doped fiber amplifier was pumped with a continuous wave SDL emitting at 1.18 mu m. The MOPA system produced pulses at a repetition rate of 827 MHz with a pulse energy of 0.62 nJ, which corresponds to an average output power of more than 0.5 W.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Frontier Photonics, Optoelectronics Research Centre, Research group: Ultrafast and intense lasers, Research group: Semiconductor Technology and Applications, Ulyanovsk State University, Fiber Optics Research Center, Russian Academy of Sciences
Contributors: Heikkinen, J., Gumenyuk, R., Rantamäki, A., Lyytikäinen, J., Leinonen, T., Zolotovskii, I., Melkumov, M., Dianov, E. M., Okhotnikov, O. G.
Number of pages: 7
Publication date: 2015

Host publication information

Title of host publication: Vertical External Cavity Surface Emitting Lasers (VECSELs) V
Place of publication: BELLINGHAM
Publisher: SPIE
Editor: Guina, M.
Article number: 93490E
ISBN (Print): 9781628414394

Publication series

Name: Proceedings of SPIE
Publisher: SPIE-INT SOC OPTICAL ENGINEERING
Volume: 9349
ISSN (Print): 0277-786X
ASJC Scopus subject areas: Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics
Keywords: Semiconductor disk laser (SDL), vertical-external-cavity surface-emitting laser (VECSEL), modelocking, wafer bonding, bismuth-doped fiber, master oscillator power amplifier (MOPA), SUPERCONTINUUM GENERATION, OUTPUT POWER, PICOSECOND, VECSEL, PULSES, GHZ
Source: WOS
Source ID: 000353134900011

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

How do academics experience use of recorded audio feedback in higher education? A thematic analysis

Our Work in Progress Paper in Research to Practice Category focuses on use of recorded audio feedback (RAF) in higher education. RAF is one method for providing feedback that is becoming increasingly popular, especially in e-education. According to previous studies, most learners have an overall positive attitude towards RAF. However, many of the studies have been carried out from learners' point of view. To complement RAF research, we study how academics experience use of RAF as a feedback method. We adopted a qualitative content analysis approach, applying thematic network analysis to the data received from four case academics. This approach proposes graphical networks as an aid for analyzing and synthesizing qualitative data into basic, organizing and global themes. The thematic network analysis produced two global, nine organizational and 45 basic themes. The two global themes were named 'Dialogue diversification' and 'Load reduction'. Based on our analysis, academics can, by using RAF, provide learners more relaxed and dialogic feedback and reduce their own workload both mentally and physically.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Computing Sciences, Jyväskylän yliopisto
Contributors: Heimbirger, A., Isomottonen, V., Nieminen, P., Keto, H.
Publication date: 4 Mar 2019

Host publication information

Title of host publication: Frontiers in Education : Fostering Innovation Through Diversity, FIE 2018 - Conference Proceedings
Publisher: IEEE
Article number: 8658635
ISBN (Electronic): 9781538611739

Publication series

Name: Proceedings - Frontiers in Education Conference
ISSN (Print): 1539-4565
ASJC Scopus subject areas: Software, Education, Computer Science Applications
Keywords: Academics, Distance learning, E-education, Higher education, RAF, Recorded audio feedback, Thematic network analysis, Work in Progress

Bibliographical note

jufoid=70484

Source: Scopus
Source ID: 85063507477

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Asterism: Decentralized file sharing application for mobile devices

Most applications and services rely on central authorities. This introduces a single point of failure to the system. The central authority must be trusted to have data stored by the application available at any given time. More importantly, the privacy of the user depends on the service provider capability to keep the data safe. A decentralized system could be a solution to remove the dependency from a central authority. Moreover, due to the rapid growth of mobile device usage, the availability of decentralization must not be limited only to desktop computers. In this work we aim at studying the possibility to use mobile devices as a decentralized file sharing platform without any central authorities. This was done by implementing Asterism, a peer-to-peer file-sharing mobile application based on the Inter-Planetary File System. We validate the results by deploying and measuring the application network usage and power consumption in multiple different devices. Results show that mobile devices can be used to implement a worldwide distributed file sharing network. However, the file sharing application generated large amounts of network traffic even when no files were shared. This was caused by the chattiness of the protocol of the underlying peer-to-peer network. Consequently, constant network traffic prevented the mobile devices from entering to deep sleep mode. Due to this the battery life of the devices was greatly degraded.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Computing Sciences, Tampere University of Applied Sciences
Contributors: Heinisuo, O., Lenarduzzi, V., Taibi, D.
Number of pages: 10
Pages: 38-47
Publication date: 9 May 2019

Host publication information

Title of host publication: 2019 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2019
Publisher: IEEE
ISBN (Electronic): 9781728104638
ASJC Scopus subject areas: Computer Science Applications, Hardware and Architecture, Computer Networks and Communications
Keywords: Decentralized file sharing, InterPlanetary File System, Mobile, Peer-to-peer, Sailfish OS
Source: Scopus
Source ID: 85066483944

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Recent advances in antenna design and interference cancellation algorithms for in-band full duplex relays

In-band full-duplex relays transmit and receive simultaneously at the same center frequency, hence offering enhanced spectral efficiency for relay deployment. In order to deploy such full-duplex relays, it is necessary to efficiently mitigate the inherent self-interference stemming from the strong transmit signal coupling to the sensitive receive chain. In this article, we present novel state-of-the-art antenna solutions as well as digital self-interference cancellation algorithms for compact MIMO fullduplex relays, specifically targeted for reduced-cost deployments in local area networks. The presented antenna design builds on resonant wavetraps and is shown to provide passive isolations on the order of 60-70 dB. We also discuss and present advanced digital cancellation solutions, beyond classical linear processing, specifically tailored against nonlinear distortion of the power amplifier when operating close to saturation. Measured results from a complete demonstrator system, integrating antennas, RF cancellation, and nonlinear digital cancellation, are also presented, evidencing close to 100 dB of overall self-interference suppression. The reported results indicate that building and deploying compact full-duplex MIMO relays is already technologically feasible.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Electronics and Communications Engineering, Research group: Wireless Communications and Positioning, Tampere University of Technology, Wireless Communications and Positioning (WICO), Aalto University
Contributors: Heino, M., Korpi, D., Huusari, T., Antonio-Rodríguez, E., Venkatasubramanian, S., Riihonen, T., Anttila, L., Icheln, C., Haneda, K., Wichman, R., Valkama, M.
Number of pages: 11
Pages: 91-101
Publication date: 1 May 2015
Peer-reviewed: Yes

Publication information

Journal: IEEE Communications Magazine
Volume: 53
Issue number: 5
ISSN (Print): 0163-6804
Ratings: 
  • Scopus rating (2015): CiteScore 8.15 SJR 2.225 SNIP 5.331
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications

Bibliographical note

AUX=elt,"Huusari, Timo"

Source: Scopus
Source ID: 84929335830

Research output: Contribution to journalArticleScientificpeer-review

How do students solve parsons programming problems? - Execution-based vs. line-based feedback

In large introductory programming classes, there typically are no resources for adequate individual guidance. Automatic feedback for programming tasks can facilitate students' learning by allowing them to get immediate individual feedback regardless of time and place. This paper presents a study on how the type of automatic feedback in Parsons problems affects how students solve them. Students on their first programming class were divided into two groups and, in two assignments, each group in turn received different type of feedback. The type of feedback had an effect on how students constructed their programs and how quickly they were able to complete them. With feedback based on execution as opposed to the visible arrangement of code, the programs were more frequently executable when feedback was requested and, overall, feedback was requested less frequently. Based on the analysis, we discuss possible future improvements to automatic feedback in this type of an assignment.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Regulation of learning and active learning methods (REALMEE), Aalto University, Department of Computer Science and Eng.
Contributors: Helminen, J., Ihantola, P., Karavirta, V., Alaoutinen, S.
Number of pages: 7
Pages: 55-61
Publication date: 2013

Host publication information

Title of host publication: Proceedings - 2013 Learning and Teaching in Computing and Engineering, LaTiCE 2013
Article number: 6542239
ISBN (Print): 9780769549606
ASJC Scopus subject areas: Computer Science Applications, Education
Keywords: Automatic Feedback, Parsons Puzzles, Python
Source: Scopus
Source ID: 84881103728

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Participatory development of user experience design guidelines for a B2B company

As business success is increasingly dependent on an organization's ability to provide a pleasant user experiences (UX) for its products, companies need to find ways to harness every employee to think about UX in their daily work. To support this goal, we present a participatory development process to create user experience design guidelines for a company developing materials-handling equipment for warehouses. The guidelines were developed to steer the work of all R&D designers and developers towards experience-driven design of the products in business-to-business context. The participatory process includes six steps: Spreading awareness of UX within the company, providing information on UX, supporting understanding of UX, co-creation of guidelines, reviewing the outcome, and implementing the guidelines. This paper concentrates on describing the first five phases. The participatory approach is applicable by other organizations to support the change towards experience-driven design. The process and outcome aims to support employees' everyday work aiming for products with pleasant UX.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Pervasive Computing, Research area: User experience, Rocla Oy, Aalto University
Contributors: Hildén, E., Väätäjä, H., Roto, V., Uusitalo, K.
Number of pages: 10
Pages: 49-58
Publication date: 17 Oct 2016

Host publication information

Title of host publication: AcademicMindtrek '16 Proceedings of the 20th International Academic Mindtrek Conference
Publisher: ACM
ISBN (Electronic): 978-1-4503-4367-1
ASJC Scopus subject areas: Human-Computer Interaction, Software, Computer Science Applications
Keywords: B2B, Design, Guideline, Mindset, Organizational change, Participatory Design, User experience

Bibliographical note

EXT="Roto, Virpi"

Source: Scopus
Source ID: 84994834980

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Focusing on user experience and business models in startups: Investigation of two-dimensional value creation

While good user experience (UX) can be seen to provide competitive advantage for the company and added value to users, resources for achieving UX may often be lacking in software startups. Furthermore, in different phases of business and product development process, concentrating on the focal things can be challenging. In this study, we investigated the factors affecting UX work in startups as well as UX goals startups set for their products. Furthermore, we reviewed the goals in terms of the Minimum Viable UX framework as well as value creation aspects. We present qualitative results of a survey study with 20 software startups as well as findings of a literature review. Our study suggests that while startups aim to provide products with good usability, the lack of a more comprehensive approach to UX can hinder their value creation; affecting both user satisfaction and business success. As a result, this may affect the successful implementation of startup's business model.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research area: User experience, Department of Pervasive Computing, University of Oulu
Contributors: Hokkanen, L., Xu, Y., Väänänen, K.
Number of pages: 9
Pages: 59-67
Publication date: 17 Oct 2016

Host publication information

Title of host publication: AcademicMindtrek 2016 - Proceedings of the 20th International Academic Mindtrek Conference
Publisher: ACM
ISBN (Electronic): 9781450343671
ASJC Scopus subject areas: Human-Computer Interaction, Software, Computer Science Applications
Keywords: Business model, Software, Startup, User experience, Value
Source: Scopus
Source ID: 84994831715

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Multithreaded simulation for synchronous dataflow graphs

For system simulation, Synchronous DataFlow (SDF) has been widely used as a core model of computation in design tools for digital communication and signal processing systems. The traditional approach for simulating SDF graphs is to compute and execute static schedules in single-processor desktop environments. Nowadays, however, multicore processors are increasingly popular desktop platforms for their potential performance improvements through thread-level parallelism. Without novel scheduling and simulation techniques that explicitly explore thread-level parallelism for executing SDF graphs, current design tools gain only minimal performance improvements on multicore platforms. In this article, we present a new multithreaded simulation scheduler, called MSS, to provide simulation runtime speedup for executing SDF graphs on multicore processors. MSS strategically integrates graph clustering, intracluster scheduling, actor vectorization, and intercluster buffering techniques to construct InterThread Communication (ITC) graphs at compile-time. MSS then applies efficient synchronization and dynamic scheduling techniques at runtime for executing ITC graphs in multithreaded environments. We have implemented MSS in the Advanced Design System (ADS) from Agilent Technologies. On an Intel dual-core, hyper-threading (4 processing units) processor, our results from this implementation demonstrate up to 3.5 times speedup in simulating modern wireless communication systems (e.g., WCDMA3G, CDMA 2000, WiMax, EDGE, and Digital TV).

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Signal Processing Research Community (SPRC), Agilent Technologies, Department of Electrical and Computer Engineering, University of Maryland
Contributors: Hsu, C. J., Pino, J. L., Bhattacharyya, S. S.
Publication date: Jun 2011
Peer-reviewed: Yes

Publication information

Journal: ACM Transactions on Design Automation of Electronic Systems
Volume: 16
Issue number: 3
Article number: 25
ISSN (Print): 1084-4309
Ratings: 
  • Scopus rating (2011): CiteScore 1.39 SJR 0.493 SNIP 1.129
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Computer Graphics and Computer-Aided Design, Electrical and Electronic Engineering
Keywords: Multithreaded simulation, Scheduling, Synchronous dataflow
Source: Scopus
Source ID: 79960659084

Research output: Contribution to journalArticleScientificpeer-review

Wear and corrosion behaviour of HVOF coatings engineered from conventional WC-Co-Cr and conventional WC-Co-Cr added nanostructured Wc-Co powders

Tungsten carbide base coatings deposited by High Velocity Oxy-Fuel (HVOF) technique are the most common materials deposited in order to protect the components surface against wear and corrosion. The purpose of this study is to investigate the sliding and abrasion wear and also the corrosion behaviour of HVOF coatings engineered from conventional WC-10Co-4Cr and conventional WC-10Co-4Cr with addition of WC-15Co nanostructured powders. A 5% addition of nanostructured WC-15Co powder was added to a conventional WC-10Co4Cr powder in order to improve the properties of the coating. The coatings have been characterized by SEM equipped with EDAX analyzer, XRD as well as the microhardness testing were performed. The wear behavior was evaluated by means of rubber wheel abrasion and ball-on-disk tests. The worn surfaces have been investigated by FESEM microscope and optical profilometer. The corrosion behavior of the coatings were tested with electrochemical open-cell potential measurements. The results showed that the nanostructured powder had a positive influence on sliding wear and corrosion behavior of the coating in comparison with the conventional coating.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Materials Science, Department of Materials Science, Engineering materials science and solutions (EMASS), Politehnica University of Timişoara
Contributors: Hulka, I., Şerban, V. A., Uţu, D., Koivuluoto, H., Vuoristo, P., Niemi, K.
Number of pages: 6
Pages: 322-327
Publication date: 2012

Host publication information

Title of host publication: NANOCON 2012 - Conference Proceedings, 4th International Conference
Publisher: TANGER Ltd.
ISBN (Electronic): 9788087294352
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Materials Science(all)
Keywords: HVOF, Nanostructures, WC based coatings, Wear
Source: Scopus
Source ID: 84923673812

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Robust Regulation of Infinite-Dimensional Port-Hamiltonian Systems

We will give general sufficient conditions under which a controller achieves robust regulation for a boundary control and observation system. Utilizing these conditions we construct a minimal order robust controller for an arbitrary order impedance passive linear port-Hamiltonian system. The theoretical results are illustrated with a numerical example where we implement a controller for a one-dimensional Euler-Bernoulli beam with boundary controls and boundary observations.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Mathematics, Research group: Computer Science and Applied Logics
Contributors: Humaloja, J., Paunonen, L.
Publication date: 2018
Peer-reviewed: Yes
Early online date: 31 Aug 2017

Publication information

Journal: IEEE Transactions on Automatic Control
Volume: 63
Issue number: 5
ISSN (Print): 0018-9286
Ratings: 
  • Scopus rating (2018): CiteScore 6.72 SJR 3.233 SNIP 2.626
Original language: English
ASJC Scopus subject areas: Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering
Keywords: Aerospace electronics, Closed loop systems, distributed parameter systems, Generators, Impedance, linear systems, port-Hamiltonian systems, robust control, Robustness, Transfer functions
Electronic versions: 
Source: Scopus
Source ID: 85029173308

Research output: Contribution to journalArticleScientificpeer-review

Approximate robust output regulation of boundary control systems

We extend the internal model principle for systems with boundary control and boundary observation, and construct a robust controller for this class of systems. However, as a consequence of the internal model principle, any robust controller for a plant with infinite-dimensional output space necessarily has infinite-dimensional state space. We proceed to formulate the approximate robust output regulation problem and present a finite-dimensional controller structure to solve it. Our main motivating example is a wave equation on a bounded multidimensional spatial domain with force control and velocity observation at the boundary. In order to illustrate the theoretical results, we construct an approximate robust controller for the wave equation on an annular domain and demonstrate its performance with numerical simulations.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Mathematics, Abo Akad Univ, Abo Akademi University, Dept Phys
Contributors: Humaloja, J. P., Kurula, M., Paunonen, L.
Pages: 2210-2223
Publication date: Jun 2019
Peer-reviewed: Yes
Early online date: 2018

Publication information

Journal: IEEE Transactions on Automatic Control
Volume: 64
Issue number: 6
ISSN (Print): 0018-9286
Original language: English
ASJC Scopus subject areas: Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering
Keywords: Controlled wave equation, Distributed parameter systems, Linear systems, Robust control
Electronic versions: 
Source: Scopus
Source ID: 85057826955

Research output: Contribution to journalArticleScientificpeer-review

Wideband self-adaptive RF cancellation circuit for full-duplex radio: Operating principle and measurements

This paper presents a novel RF circuit architecture for self-interference cancellation in inband full-duplex radio transceivers. The developed canceller is able to provide wideband cancellation with waveform bandwidths in the order of 100 MHz or beyond and contains also self-adaptive or self-healing features enabling automatic tracking of time-varying self-interference channel characteristics. In addition to architecture and operating principle descriptions, we also provide actual RF measurements at 2.4 GHz ISM band demonstrating the achievable cancellation levels with different bandwidths and when operating in different antenna configurations and under low-cost highly nonlinear power amplifier. In a very challenging example with a 100 MHz waveform bandwidth, around 41 dB total cancellation is obtained while the corresponding cancellation figure is close to 60 dB with the more conventional 20 MHz carrier bandwidth. Also, efficient tracking in time-varying reflection scenarios is demonstrated.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Electronics and Communications Engineering, Tampere University of Technology, Research group: Wireless Communications and Positioning, Wireless Communications and Positioning (WICO), Intel Corporation
Contributors: Huusari, T., Choi, Y. S., Liikkanen, P., Korpi, D., Talwar, S., Valkama, M.
Publication date: 1 Jul 2015

Host publication information

Title of host publication: 2015 IEEE 81st Vehicular Technology Conference (VTC Spring)
Publisher: The Institute of Electrical and Electronics Engineers, Inc.
ISBN (Print): 9781479980888
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications, Applied Mathematics
Keywords: Full-duplex, RF cancellation, Self adaptive, Self interference, Tracking

Bibliographical note

AUX=elt,"Huusari, Timo"
AUX=elt,"Liikkanen, Petteri"

Source: Scopus
Source ID: 84940421784

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Busting myths of electronic word of mouth: The relationship between customer ratings and the sales of mobile applications

Business and academic research frequently highlights the power of electronic word of mouth, relying on the knowledge that online customer ratings and reviews influence consumer decision making. Numerous studies in different disciplines have been conducted to examine the effectiveness of electronic word of mouth communication. Previously, typically small sample studies suggest that positive electronic word of mouth increases sales and that the effects depend on the volume and valence of reviews and ratings. This study’s contribution lies in testing the relationship between electronic word of mouth and the sales of applications in a mobile application ecosystem (Google Play) with an extensive dataset (over 260 million customer ratings; 18 months). The results show that higher values of valence of customer ratings correlate statistically significantly with higher sales. The volume of ratings correlates positively with sales in the long term but negatively in the short term. Furthermore, the relationship between electronic word of mouth and sales seems to be more important when the price of the application increases. The findings also underline the importance of the choice of a measurement period in studies.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Managing digital industrial transformation (mDIT), Pori Department, Research group: Business Ecosystems, Networks and Innovations, Turun Yliopisto/Turun Biomateriaalikeskus, University of Turku, Turku School of Economics, VTT Technical Research Centre of Finland, University of Turku
Contributors: Hyrynsalmi, S., Seppänen, M., Aarikka-Stenroos, L., Suominen, A., Järveläinen, J., Harkke, V.
Number of pages: 18
Pages: 1-18
Publication date: 2015
Peer-reviewed: Yes

Publication information

Journal: Journal of Theoretical and Applied Electronic Commerce Research
Volume: 10
Issue number: 2
ISSN (Print): 0718-1876
Ratings: 
  • Scopus rating (2015): CiteScore 1.84 SJR 0.749 SNIP 1.398
Original language: English
ASJC Scopus subject areas: Business, Management and Accounting(all), Computer Science Applications
Keywords: App stores, Big data, Consumer ratings, Consumer reviews, Electronic word of mouth, Micro-pricing, Products ratings, Sales

Bibliographical note

EXT="Aarikka-Stenroos, Leena"
EXT="Hyrynsalmi, Sami"

Versio ja lupa ok 12.1.2016, lupa annettu lomakkeella KK

Source: Scopus
Source ID: 84930678533

Research output: Contribution to journalArticleScientificpeer-review

The emerging application ecosystems: An introductory analysis of android ecosystem

Emerging mobile application ecosystems have had a clear effect on the software business. Apple App Store and Google Play have gathered both existing large software companies and new start-ups. In creating a healthy ecosystem, the role of the software developer is significant. In practice, the ecosystems' ability to entice developers to create software products to the ecosystem can be argued to be a major factor driving the competitiveness of the ecosystem. This article empirically investigates Google Play, by gathering the data of 350,000 applications from the marketplace. With the dataset, common assumptions linked to the marketplace are studied. The results show that the direct software sale is a practical revenue model only for a few while offering a trial and paid version of the application seems to improve the revenue. The impact of the number of applications in the marketplace is questioned.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Managing digital industrial transformation (mDIT), University of Turku, Turku School of Economics, University of Turku, VTT Technical Research Centre of Finland
Contributors: Hyrynsalmi, S., Suominen, A., Mäkilä, T., Knuutila, T.
Number of pages: 21
Pages: 61-81
Publication date: 1 Apr 2014
Peer-reviewed: Yes

Publication information

Journal: INTERNATIONAL JOURNAL OF E-BUSINESS RESEARCH
Volume: 10
Issue number: 2
ISSN (Print): 1548-1131
Ratings: 
  • Scopus rating (2014): CiteScore 0.4 SJR 0.174 SNIP 0.218
Original language: English
ASJC Scopus subject areas: Management Information Systems, Computer Science Applications
Keywords: App economy, Application marketplace, Freemium, Google play, Mobile ecosystem
Source: Scopus
Source ID: 84928235907

Research output: Contribution to journalArticleScientificpeer-review

Full-reference metrics multidistortional analysis

This paper is devoted to analysis and further improvement of full-reference metrics of image visual quality. The effectiveness of a metric is characterized by the rank correlation factors between the obtained array of mean opinion scores (MOS) and the corresponding array of given metric values. This allows to determine the correspondence of a considered metric to a human visual system (HVS). Results obtained on the database TID2013 show that Spearman correlation for the best existing metrics (PSNRHMA, FSIM, SFF, etc.) does not exceed 0.85. In this paper, extended verification tools that allow to detect the shortcomings of the metrics taking into account combined distortions is proposed. An example for further improvement of the PSNRHMA metric is presented.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Signal Processing, Kharkiv National Aerospace University
Contributors: Ieremeiev, O., Lukin, V., Ponomarenko, N., Egiazarian, K.
Number of pages: 9
Pages: 27-35
Publication date: 2017

Host publication information

Title of host publication: Image Processing: Algorithms and Systems XV

Publication series

Name: Electronic Imaging
ISSN (Print): 2470-1173
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Science Applications, Human-Computer Interaction, Software, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics
Keywords: Full-reference metrics, Image visual quality assessment, Metrics analysis, Metrics verification, Multiple distortions

Bibliographical note

jufoid=84313
EXT="Ponomarenko, Nikolay"
EXT="Lukin, Vladimir"

Source: Scopus
Source ID: 85040625876

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Robust linearized combined metrics of image visual quality

Existing full-reference metrics still do not provide a desirable degree of adequacy to a human visual perception, for evaluation of images with different types and levels of distortions. One reason for this is that it is difficult to incorporate the peculiarities of human visual system in the metrics design. In this paper, a robust approach to full-reference metrics' design is proposed, based on a combination of several existing full-reference metrics. A preliminary linearization (fitting) of the dependence of MOS with respect to the components metrics is performed in order to compensate shortcomings of each component. The proposed method is tested on several known databases, and demonstrate better performance than existing metrics.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Signal Processing, Kharkiv National Aerospace University
Contributors: Ieremeiev, O., Lukin, V., Ponomarenko, N., Egiazarian, K.
Publication date: 2018

Host publication information

Title of host publication: Electronic Imaging : Image Processing: Algorithms and Systems XVI
Publisher: Society for Imaging Science and Technology
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Science Applications, Human-Computer Interaction, Software, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics
Keywords: Combined metrics, Full-reference metrics, Image visual quality assessment, Robust metrics

Bibliographical note

jufoid=84313
EXT="Ponomarenko, Nikolay"
EXT="Lukin, Vladimir"

Source: Scopus
Source ID: 85052901571

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Graph Embedded Extreme Learning Machine

In this paper, we propose a novel extension of the extreme learning machine (ELM) algorithm for single-hidden layer feedforward neural network training that is able to incorporate subspace learning (SL) criteria on the optimization process followed for the calculation of the network's output weights. The proposed graph embedded ELM (GEELM) algorithm is able to naturally exploit both intrinsic and penalty SL criteria that have been (or will be) designed under the graph embedding framework. In addition, we extend the proposed GEELM algorithm in order to be able to exploit SL criteria in arbitrary (even infinite) dimensional ELM spaces. We evaluate the proposed approach on eight standard classification problems and nine publicly available datasets designed for three problems related to human behavior analysis, i.e., the recognition of human face, facial expression, and activity. Experimental results denote the effectiveness of the proposed approach, since it outperforms other ELM-based classification schemes in all the cases.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Pages: 311 - 324
Publication date: 2016
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Cybernetics
Volume: 46
Issue number: 1
ISSN (Print): 2168-2267
Ratings: 
  • Scopus rating (2016): CiteScore 7.14 SJR 2.927 SNIP 3.282
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Human-Computer Interaction, Information Systems, Software, Control and Systems Engineering, Electrical and Electronic Engineering

Research output: Contribution to journalArticleScientificpeer-review

Distance-based human action recognition using optimized class representations

We study distance-based classification of human actions and introduce a new metric learning approach based on logistic discrimination for the determination of a low-dimensional feature space of increased discrimination power. We argue that for effective distance-based classification, both the optimal projection space and the optimal class representation should be determined. We qualitatively and quantitatively illustrate the superiority of the proposed approach to metric learning approaches employing the class mean for class representation. We also introduce extensions of the proposed metric learning approach to allow for richer class representations and to operate in arbitrary-dimensional Hilbert spaces for non-linear feature extraction and classification. Experimental results denote that the performance of the proposed distance-based classification schemes is comparable (or even better) to that of Support Vector Machine classifier (in both the linear and kernel cases) which is currently the standard choice for human action recognition.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Number of pages: 9
Pages: 47-55
Publication date: 5 Aug 2015
Peer-reviewed: Yes

Publication information

Journal: Neurocomputing
Volume: 161
ISSN (Print): 0925-2312
Ratings: 
  • Scopus rating (2015): CiteScore 3.18 SJR 0.981 SNIP 1.698
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Cognitive Neuroscience
Keywords: Distance-based classification, Optimized class representations
Source: Scopus
Source ID: 84929045315

Research output: Contribution to journalArticleScientificpeer-review

DropELM: Fast neural network regularization with Dropout and DropConnect

In this paper, we propose an extension of the Extreme Learning Machine algorithm for Single-hidden Layer Feedforward Neural network training that incorporates Dropout and DropConnect regularization in its optimization process. We show that both types of regularization lead to the same solution for the network output weights calculation, which is adopted by the proposed DropELM network. The proposed algorithm is able to exploit Dropout and DropConnect regularization, without computationally intensive iterative weight tuning. We show that the adoption of such a regularization approach can lead to better solutions for the network output weights. We incorporate the proposed regularization approach in several recently proposed ELM algorithms and show that their performance can be enhanced without requiring much additional computational cost.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Number of pages: 10
Pages: 57-66
Publication date: 25 Aug 2015
Peer-reviewed: Yes

Publication information

Journal: Neurocomputing
Volume: 162
ISSN (Print): 0925-2312
Ratings: 
  • Scopus rating (2015): CiteScore 3.18 SJR 0.981 SNIP 1.698
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Cognitive Neuroscience
Keywords: DropConnect, Dropout, Extreme Learning Machine, Regularization, Single Hidden Layer Feedforward Networks
Source: Scopus
Source ID: 84929271496

Research output: Contribution to journalArticleScientificpeer-review

Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis

In this paper, a novel nonlinear subspace learning technique for class-specific data representation is proposed. A novel data representation is obtained by applying nonlinear class-specific data projection to a discriminant feature space, where the data belonging to the class under consideration are enforced to be close to their class representation, while the data belonging to the remaining classes are enforced to be as far as possible from it. A class is represented by an optimized class vector, enhancing class discrimination in the resulting feature space. An iterative optimization scheme is proposed to this end, where both the optimal nonlinear data projection and the optimal class representation are determined in each optimization step. The proposed approach is tested on three problems relating to human behavior analysis: Face recognition, facial expression recognition, and human action recognition. Experimental results denote the effectiveness of the proposed approach, since the proposed class-specific reference discriminant analysis outperforms kernel discriminant analysis, kernel spectral regression, and class-specific kernel discriminant analysis, as well as support vector machine-based classification, in most cases.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Pages: 315-326
Publication date: 25 Dec 2014
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Human-Machine Systems
Volume: 45
Issue number: 3
ISSN (Print): 2168-2291
Ratings: 
  • Scopus rating (2014): CiteScore 2.98 SJR 1.28 SNIP 3.04
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Signal Processing, Human Factors and Ergonomics, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Control and Systems Engineering

Research output: Contribution to journalArticleScientificpeer-review

Regularized extreme learning machine for multi-view semi-supervised action recognition

In this paper, three novel classification algorithms aiming at (semi-)supervised action classification are proposed. Inspired by the effectiveness of discriminant subspace learning techniques and the fast and efficient Extreme Learning Machine (ELM) algorithm for Single-hidden Layer Feedforward Neural networks training, the ELM algorithm is extended by incorporating discrimination criteria in its optimization process, in order to enhance its classification performance. The proposed Discriminant ELM algorithm is extended, by incorporating proper regularization in its optimization process, in order to exploit information appearing in both labeled and unlabeled action instances. An iterative optimization scheme is proposed in order to address multi-view action classification. The proposed classification algorithms are evaluated on three publicly available action recognition databases providing state-of-the-art performance in all the cases.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Number of pages: 13
Pages: 250-262
Publication date: 5 Dec 2014
Peer-reviewed: Yes

Publication information

Journal: Neurocomputing
Volume: 145
ISSN (Print): 0925-2312
Ratings: 
  • Scopus rating (2014): CiteScore 2.99 SJR 0.875 SNIP 1.717
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Cognitive Neuroscience
Keywords: Extreme learning machine, Multi-view learning, Semi-supervised learning
Source: Scopus
Source ID: 84906935799

Research output: Contribution to journalArticleScientificpeer-review

Extreme learning machine based supervised subspace learning

This paper proposes a novel method for supervised subspace learning based on Single-hidden Layer Feedforward Neural networks. The proposed method calculates appropriate network target vectors by formulating a Bayesian model exploiting both the labeling information available for the training data and geometric properties of the training data, when represented in the feature space determined by the network's hidden layer outputs. After the calculation of the network target vectors, Extreme Learning Machine-based neural network training is applied and classification is performed using a Nearest Neighbor classifier. Experimental results on publicly available data sets show that the proposed approach consistently outperforms the standard ELM approach, as well as other standard methods.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Signal Processing, Research Community on Data-to-Decision (D2D)
Contributors: Iosifidis, A.
Number of pages: 7
Pages: 158–164
Publication date: 2015
Peer-reviewed: Yes

Publication information

Journal: Neurocomputing
Volume: 167
ISSN (Print): 0925-2312
Ratings: 
  • Scopus rating (2015): CiteScore 3.18 SJR 0.981 SNIP 1.698
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Cognitive Neuroscience
Keywords: Extreme Learning Machine, Network targets calculation, Supervised subspace learning

Research output: Contribution to journalArticleScientificpeer-review

Learning sparse representations for view-independent human action recognition based on fuzzy distances

In this paper, a method aiming at view-independent human action recognition is presented. Actions are described as series of successive human body poses. Action videos representation is based on fuzzy vector quantization, while action classification is performed by a novel classification algorithm, the so-called Sparsity-based Learning Machine (SbLM), involving two optimization steps. The first one determines a non-linear data mapping to a high-dimensional feature space determined by an l1-minimization process exploiting an overcomplete dictionary formed by the training samples. The second one, involves a training process in order to determine the optimal separating hyperplanes in the resulted high-dimensional feature space. The performance of the proposed human action recognition method is evaluated on two publicly available action recognition databases aiming at different application scenarios.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Number of pages: 10
Pages: 344-353
Publication date: 9 Dec 2013
Peer-reviewed: Yes

Publication information

Journal: Neurocomputing
Volume: 121
ISSN (Print): 0925-2312
Ratings: 
  • Scopus rating (2013): CiteScore 2.95 SJR 0.817 SNIP 1.915
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Cognitive Neuroscience
Keywords: Action classification, Activity recognition, Fuzzy vector quantization, Sparse data representation
Source: Scopus
Source ID: 84884142409

Research output: Contribution to journalArticleScientificpeer-review

View-independent human action recognition based on multi-view action images and discriminant learning

In this paper a novel view-independent human action recognition method is proposed. A multi-camera setup is used to capture the human body from different viewing angles. Actions are described by a novel action representation, the so-called multi-view action image (MVAI), which effectively addresses the camera viewpoint identification problem, i.e., the identification of the position of each camera with respect to the person's body. Linear Discriminant Analysis is applied on the MVAIs in order to to map actions to a discriminant feature space where actions are classified by using a simple nearest class centroid classification scheme. Experimental results denote the effectiveness of the proposed action recognition approach.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Publication date: 2013

Host publication information

Title of host publication: 2013 IEEE 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, IVMSP 2013 - Proceedings
ISBN (Print): 9781467358583
ASJC Scopus subject areas: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computer Science Applications
Keywords: Discriminant Learning, Human Action Recognition, Multi-camera Setup, Multi-view Action Images
Source: Scopus
Source ID: 84888154998

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Multidimensional sequence classification based on fuzzy distances and discriminant analysis

In this paper, we present a novel method aiming at multidimensional sequence classification. We propose a novel sequence representation, based on its fuzzy distances from optimal representative signal instances, called statemes. We also propose a novel modified clustering discriminant analysis algorithm minimizing the adopted criterion with respect to both the data projection matrix and the class representation, leading to the optimal discriminant sequence class representation in a low-dimensional space, respectively. Based on this representation, simple classification algorithms, such as the nearest subclass centroid, provide high classification accuracy. A three step iterative optimization procedure for choosing statemes, optimal discriminant subspace and optimal sequence class representation in the final decision space is proposed. The classification procedure is fast and accurate. The proposed method has been tested on a wide variety of multidimensional sequence classification problems, including handwritten character recognition, time series classification and human activity recognition, providing very satisfactory classification results.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Number of pages: 12
Pages: 2564-2575
Publication date: 2013
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Knowledge and Data Engineering
Volume: 25
Issue number: 11
ISSN (Print): 1041-4347
Ratings: 
  • Scopus rating (2013): CiteScore 4.61 SJR 1.385 SNIP 4.055
Original language: English
ASJC Scopus subject areas: Computational Theory and Mathematics, Information Systems, Computer Science Applications
Keywords: clustering-based discriminant analysis, codebook learning, fuzzy vector quantization, Sequence classification
Source: Scopus
Source ID: 84884791250

Research output: Contribution to journalArticleScientificpeer-review

Person identification from actions based on dynemes and discriminant learning

In this paper we present a view-independent person identification method exploiting motion information. A multi-camera setup is used in order to capture the human body during action execution from different viewing angles. The method is able to incorporate several everyday actions in person identification. A comparative study of the discriminative ability of different actions for person identification is provided, denoting that several actions, except walk, can be exploited for person identification.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Publication date: 2013

Host publication information

Title of host publication: 2013 International Workshop on Biometrics and Forensics, IWBF 2013
ISBN (Print): 9781467349895
ASJC Scopus subject areas: Biotechnology, Computer Science Applications
Keywords: Action-based person identification, Classification results fusion, Discriminant learning, Dyneme video representation
Source: Scopus
Source ID: 84881350564

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

On the optimal class representation in linear discriminant analysis

Linear discriminant analysis (LDA) is a widely used technique for supervised feature extraction and dimensionality reduction. LDA determines an optimal discriminant space for linear data projection based on certain assumptions, e.g., on using normal distributions for each class and employing class representation by the mean class vectors. However, there might be other vectors that can represent each class, to increase class discrimination. In this brief, we propose an optimization scheme aiming at the optimal class representation, in terms of Fisher ratio maximization, for LDA-based data projection. Compared with the standard LDA approach, the proposed optimization scheme increases class discrimination in the reduced dimensionality space and achieves higher classification rates in publicly available data sets.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research Community on Data-to-Decision (D2D), Aristotle University of Thessaloniki, Department of Informatics
Contributors: Iosifidis, A., Tefas, A., Pitas, I.
Number of pages: 7
Pages: 1491-1497
Publication date: 2013
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Neural Networks and Learning Systems
Volume: 24
Issue number: 9
ISSN (Print): 2162-237X
Ratings: 
  • Scopus rating (2013): CiteScore 5.5 SJR 2.33 SNIP 3.576
Original language: English
ASJC Scopus subject areas: Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Software
Keywords: Class representation, data projection, linear discriminant analysis (LDA), subspace learning
Source: Scopus
Source ID: 84882899597

Research output: Contribution to journalArticleScientificpeer-review

Dots-on-the-fly electron beam lithography

We demonstrate a novel approach for electron-beam lithography (EBL) of periodic nanostructures. This technique can rapidly produce arrays of various metallic and etched nanostructures with line and pitch dimensions approaching the beam spot size. Our approach is based on often neglected functionality which is inherent in most modern EBL systems. The raster/vector beam exposure system of the EBL software is exploited to produce arrays of pixel-like spots without the need to define coordinates for each spot in the array. Producing large arrays with traditional EBL techniques is cumbersome during pattern design, usually leads to large data files and easily results in system memory overload during patterning. In Dots-on-The-fly (DOTF) patterning, instead of specifying the locations of individual spots, a boundary for the array is given and the spacing between spots within the boundary is specified by the beam step size. A designed pattern element thus becomes a container object, with beam spacing acting as a parameterized location list for an array of spots confined by that container. With the DOTF method, a single pattern element, such as a square, rectangle or circle, can be used to produce a large array containing thousands of spots. In addition to simple arrays of nano-dots, we expand the technique to produce more complex, highly tunable arrays and structures on substrates of silicon, ITO/ FTO coated glass, as well as uncoated fused silica, quartz and sapphire.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Electronics and Communications Engineering, Research group: Wireless Communications and Positioning, Optoelectronics Research Centre, Research group: Nanophotonics
Contributors: Isotalo, T. J., Niemi, T.
Number of pages: 7
Publication date: 2016

Host publication information

Title of host publication: SPIE Proceedings : Alternative Lithographic Technologies VIII
Volume: 9777
Publisher: SPIE
Editor: Bencher, C.
Article number: 97771E
ISBN (Electronic): 9781510600126

Publication series

Name: Proceedings of SPIE
Publisher: SPIE
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Electrical and Electronic Engineering, Applied Mathematics
Keywords: electron beam lithography, nano-fabrication, nano-particle arrays, optoelectronics, periodic nano-structures, plasmonics
Source: Scopus
Source ID: 84981516864

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

On delay distribution in IEEE 802.11 wireless networks

IEEE 802.11 wireless networks have received much attention over the past number of years. Still certain aspects of behavior of wireless networks have not been studied well enough. For example, understanding MAC layer packet delay distribution remains challenging yet. However, obtaining such distribution is highly beneficial for modeling QoS provided by wireless networks. This paper proposes a way of obtaining MAC delay distribution in case of single-hop networks. The proposed way is based on theory of terminating renewal processes and delivers approximation of good precision.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Wireless Communications and Positioning (WICO), Waterford Institute of Technology, Telecommunications Software and Systems Group (TSSG)
Contributors: Ivanov, S., Botvich, D., Balasubramaniam, S.
Number of pages: 3
Pages: 254-256
Publication date: 2011

Host publication information

Title of host publication: 16th IEEE Symposium on Computers and Communications, ISCC'11
Article number: 5983849
ISBN (Print): 9781457706783
ASJC Scopus subject areas: Software, Signal Processing, Mathematics(all), Computer Science Applications, Computer Networks and Communications
Keywords: delay distribution, IEEE 802.11, MAC layer, modeling
Source: Scopus
Source ID: 80052734083

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Kalman-Type Filters and Smoothers for Pedestrian Dead Reckoning

In this paper, we present a method for device localization based on the fusion of location data from Global Navigation Satellite System and data from inertial sensors. We use a Kalman filter as well as its non-linear variants for realtime position estimation, and corresponding smoothers for offline position estimation. In all filters we use information about changes of user's heading, which are computed from the acceleration and gyroscope data. Models used with Extended and Unscented Kalman filters also take into account information about step length, whereas Kalman Filter does not, because the measurement is non-linear. In order to overcome this shortcoming, we introduce a modified Kalman Filter which adjusts the state vector according to the step length measurements. Our experiments show that use of step length information does not significantly improve performance when location measurements are constantly available. However, in real situations, when location data is partially unavailable, information about step length and its appropriate integration into the filter design is important, and improve localization accuracy considerably.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Automation and Hydraulic Engineering, HERE Technologies, Deprtment of Electrical Engineering and Automation, Aalto University
Contributors: Ivanov, P., Raitoharju, M., Piché, R.
Number of pages: 7
Publication date: 13 Nov 2018

Host publication information

Title of host publication: IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
Publisher: IEEE
ISBN (Electronic): 9781538656358
ASJC Scopus subject areas: Artificial Intelligence, Computer Science Applications, Control and Optimization
Electronic versions: 

Bibliographical note

jufoid=72210

Source: Scopus
Source ID: 85059102314

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Internet of Autonomous Vehicles: Architecture, Features, and Socio-Technological Challenges

Mobility is the backbone of urban life and a vital economic factor in the development of the world. Rapid urbanization and the growth of mega-cities are bringing dramatic changes in the capabilities of vehicles. Innovative solutions like autonomy, electrification, and connectivity are on the horizon. How, then, we can provide ubiquitous connectivity to legacy and autonomous vehicles? This article seeks to answer this question by combining recent leaps of innovation in network virtualization with remarkable feats of wireless communications. To do so, this article proposes a novel paradigm called the Internet of Autonomous Vehicles (IoAV). We begin painting the picture of IoAV by discussing the salient features and applications of IoAV, followed by a detailed discussion on the key enabling technologies. Next, we describe the proposed layered architecture of IoAV and uncover some critical functions of each layer. This is followed by the performance evaluation of IoAV, which shows significant advantages of the proposed architecture in terms of transmission time and energy consumption. Finally, to best capture the benefits of IoAV, we enumerate some social and technological challenges, and explain how some unresolved issues can disrupt the widespread use of autonomous vehicles in the future.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Computing Sciences
Contributors: Jameel, F., Chang, Z., Huang, J., Ristaniemi, T.
Number of pages: 9
Pages: 21-29
Publication date: 1 Aug 2019
Peer-reviewed: Yes

Publication information

Journal: IEEE Wireless Communications
Volume: 26
Issue number: 4
Article number: 8809655
ISSN (Print): 1536-1284
Original language: English
ASJC Scopus subject areas: Computer Science Applications, Electrical and Electronic Engineering
Source: Scopus
Source ID: 85071324963

Research output: Contribution to journalArticleScientificpeer-review

Task-based information interaction evaluation: The viewpoint of program theory

Evaluation is central in research and development of information retrieval (IR). In addition to designing and implementing new retrieval mechanisms, one must also show through rigorous evaluation that they are effective. A major focus in IR is IR mechanisms' capability of ranking relevant documents optimally for the users, given a query. Searching for information in practice involves searchers, however, and is highly interactive. When human searchers have been incorporated in evaluation studies, the results have of ten suggested that better ranking does not necessarily lead to better search task, or work task, performance. Therefore, it is not clear which system or interface features should be developed to improve the effectiveness of human task performance. In the present article, we focus on the evaluation of task-based information interaction (TBII). We give special emphasis to learning tasks to discuss TBII in more concrete terms. Information interaction is here understood as behavioral and cognitive activities related to task planning, searching information items, selecting between them, working with them, and synthesizing and reporting. These five generic activities contribute to task performance and outcome and can be supported by information systems. In an attempt toward task-based evaluation, we introduce program theory as the evaluation framework. Such evaluation can investigate whether a program consisting of TBII activities and tools works and how it works and, further, provides a causal description of program (in)effectiveness. Our goal in the present article is to structure TBII on the basis of the five generic activities and consider the evaluation of each activity using the program theory framework. Finally, we combine these activity-based program theories in an overall evaluation framework for TBII. Such an evaluation is complex due to the large number of factors affecting information interaction. Instead of presenting tested program theories, we illustrate how the evaluation of TBII should be accomplished using the program theory framework in the evaluation of systems and behaviors, and their interactions, comprehensively in context.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: University of Tampere
Contributors: Järvelin, K., Vakkari, P., Arvola, P., Baskaya, F., Järvelin, A., Kekäläinen, J., Keskustalo, H., Kumpulainen, S., Saastamoinen, M., Savolainen, R., Sormunen, E.
Publication date: 1 Mar 2015
Peer-reviewed: Yes

Publication information

Journal: ACM Transactions on Information Systems
Volume: 33
Issue number: 1
Article number: 3
ISSN (Print): 1046-8188
Ratings: 
  • Scopus rating (2015): CiteScore 2.71 SJR 0.655 SNIP 2.007
Original language: English
ASJC Scopus subject areas: Information Systems, Business, Management and Accounting(all), Computer Science Applications
Keywords: Experimentation, Human factors, Theory
Source: Scopus
Source ID: 84926320780

Research output: Contribution to journalArticleScientificpeer-review

Effect of paint baking treatment on the properties of press hardened boron steels

This study comprehends the effect of a typical paint baking process on the properties of press hardened boron steels. Bake hardening response of four 22MnB5 steels with different production histories and two other boron steels of 30MnB5 and 34MnB5 type were analyzed. In particular, the effect of steel carbon content and prior austenite grain size on the strength of the bake hardening treated steels was investigated. Press hardened steels showed a relatively strong bake hardening effect, 80–160 MPa, in terms of yield strength. In addition, a clear decrease in ultimate tensile strength, 30–150 MPa, was observed due to baking. The changes in tensile strength showed a dependency on the carbon content of the steel: higher carbon content led to a larger decrease in tensile strength in general. Smaller prior austenite grain size resulted in a higher increase in yield strength despite the micro-alloyed 34MnB5. Transmission electron microscopy analysis carried out for the 34MnB5 revealed niobium rich mixture carbides of (Nb, Ti)C, which have most likely influenced the different bake hardening response. The present results indicate that the bake hardening response of press hardened steels depends on both prior austenite grain size and carbon content, but is also affected by other alloying elements. The observed correlation between prior austenite grain size and bake hardening response can be used to optimize the production of the standard grades of 22MnB5 and 30MnB5. In addition, our study suggests that baking process improves the post-uniform elongation and ductile fracture behavior of 34MnB5, but do not significantly influence the ductile fracture mechanisms of 22MnB5 and 30MnB5 representing lower strength levels.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Materials Science, Research group: Metals Technology, SSAB
Contributors: Järvinen, H., Honkanen, M., Järvenpää, M., Peura, P.
Number of pages: 15
Pages: 90-104
Publication date: 2018
Peer-reviewed: Yes
Early online date: 11 Sep 2017

Publication information

Journal: Journal of Materials Processing Technology
Volume: 252
ISSN (Print): 0924-0136
Ratings: 
  • Scopus rating (2018): CiteScore 5.08 SJR 1.719 SNIP 2.773
Original language: English
ASJC Scopus subject areas: Ceramics and Composites, Modelling and Simulation, Computer Science Applications, Metals and Alloys, Industrial and Manufacturing Engineering
Keywords: Bake hardening, EBSD, Martensite, Paint baking, Press hardening, Prior austenite grain size
Electronic versions: 
URLs: 
Source: Scopus
Source ID: 85029389667

Research output: Contribution to journalArticleScientificpeer-review

Short-term power load forecasting using grey correlation contest modeling

Power load has the characteristic of nonlinear fluctuation and random growth. Aiming at the drawback that the forecasting accuracy of general GM(1,1) model goes down when there is a greater load mutation, this paper proposes a new grey model with grey correlation contest for short-term power load forecasting. In order to cover the impact of various certain and uncertain factors in climate and society on the model as fully as possible, original series are selected from different viewpoints to construct different forecasting strategies. By making full use of the characteristic that GM(1,1) model can give a perfect forecasting result in the smooth rise and drop phase of power load, and the feature that there are several peaks and valleys within daily power load, the predicted day is divided into several smooth segments for separate forecasting. Finally, the different forecasting strategies are implemented respectively in the different segments through grey correlation contest, so as to avoid the error amplification resulted from the improper choice of initial condition. A practical application verifies that, compared with the existing grey forecasting models, the proposed model is a stable and feasible forecasting model with a higher forecasting accuracy.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Sensing Systems for Wireless Medicine (MediSense), Hunan University, Sany Smart Control Equipment Ltd., Georgia Institute of Technology
Contributors: Jin, M., Zhou, X., Zhang, Z. M., Tentzeris, M. M.
Number of pages: 7
Pages: 773-779
Publication date: Jan 2012
Peer-reviewed: Yes

Publication information

Journal: Expert Systems with Applications
Volume: 39
Issue number: 1
ISSN (Print): 0957-4174
Ratings: 
  • Scopus rating (2012): CiteScore 3.38 SJR 1.148 SNIP 2.407
Original language: English
ASJC Scopus subject areas: Engineering(all), Computer Science Applications, Artificial Intelligence
Keywords: External optimization, Grey correlation contest, Hybrid grey model, Internal optimization, Short-term power load forecasting, Time-segment
Source: Scopus
Source ID: 81855218656

Research output: Contribution to journalArticleScientificpeer-review

Mobile Journalist Toolkit: A field study on producing news articles with a mobile device

Today's handheld mobile devices with advanced multimedia capabilities and wireless broadband connectivity have emerged as potential new tools for journalists to produce news articles. It is envisioned that they could enable faster, more authentic, and more efficient news production, and many large news producing organizations, including Reuters and BBC, have recently been experimenting with them. In this paper, we present a field study on using mobile devices to produce news articles. During the study, a group of 19 M.A.-level journalism students used the Mobile Journalist Toolkit, a lightweight set of tools for mobile journalist work built around the Nokia N82 camera phone, to produce an online news blog. Our results indicate that while the mobile device cannot completely replace the traditional tools, for some types of journalist tasks they provide major benefits over the traditional tools, and are thus a useful addition to the journalist's toolbox.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Software Systems, Nokia
Contributors: Jokela, T., Väätäjä, H., Koponen, T.
Number of pages: 8
Pages: 45-52
Publication date: 2009

Host publication information

Title of host publication: MindTrek 2009 - 13th International Academic MindTrek Conference: Everyday Life in the Ubiquitous Era
ISBN (Print): 9781605586335
ASJC Scopus subject areas: Computer Science Applications, Human-Computer Interaction, Software
Keywords: Camera phones, Field study, Journalism, Mobile devices, Multimedia publishing
Source: Scopus
Source ID: 76749139559

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Experimental analysis on the turning of aluminum alloy 7075 based on Taguchi method and artificial neural network

This paper mainly aims to disclose the effects of cutting conditions on the turning of aluminum alloy 7075 (AA7075). First, the artificial neural network (ANN) was programmed to investigate how cutting parameters, namely cutting speed, feed rate and depth of cut, affect the surface roughness of AA7075. Then, the taguchi method was introduced to design an L27 orthogonal array, in which each cutting parameter is considered on three levels. The results of orthogonal analysis were used to train the ANN called backpropagation neural network (BPNN) on MATLAB. The trained network was applied to predict the surface roughness of AA7075 through MATLAB simulation. Meanwhile, an experiment was conducted under the same conditions. The experimental results were found consistent with the simulation data, indicating that the BPNN is suitable for simulation the turning of AA7075. It is also learned that the cutting speed has the greatest impact on surface roughness; the surface roughness is negeatively correlated with feed rate; the negative correlation is positively mediated by the cutting speed.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Materials Science and Environmental Engineering, Manipal Academy of Higher Education, Dubai Campus
Contributors: Joshy, A., Dsouza, R., Muthirulan, V., Sachidananda, K. H.
Number of pages: 9
Pages: 429-437
Publication date: 2019
Peer-reviewed: Yes

Publication information

Journal: Journal Europeen des Systemes Automatises
Volume: 52
Issue number: 5
ISSN (Print): 1269-6935
Original language: English
ASJC Scopus subject areas: Control and Systems Engineering, Computer Science Applications, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering
Keywords: Artificial neural network (ANN), Cutting speed, Depth of cut, Feed rate, Machining, Surface roughness, Taguchi method, Turning
Source: Scopus
Source ID: 85077879334

Research output: Contribution to journalArticleScientificpeer-review

On computation of calcium cycling anomalies in cardiomyocytes data

Induced pluripotent stem cell (iPSC) lines derived from skin fibroblasts of patients suffering from cardiac disorders were differentiated to cardiomyocytes and used to generate a data set of Ca2+ transients of 136 recordings. The objective was to separate normal signals for later medical research from abnormal signals. We constructed a signal analysis procedure to detect peaks representing calcium cycling in signals and another procedure to classify them into either normal or abnormal peaks. Using machine learning methods we classified signals into normal or abnormal signals on the basis of peak findings in them. We compared classification results obtained to those made visually by an expert biotechnologist who assessed the signals independent of the computer method. Classification accuracies of around 85% indicated high congruence between two modes denoting the high capability and usefulness of computer based processing for the present data.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: BioMediTech, Augmented Human Activities (AHA), Integrated Technologies for Tissue Engineering Research (ITTE)
Contributors: Juhola, M., Joutsijoki, H., Varpa, K., Saarikoski, J., Rasku, J., Iltanen, K., Laurikkala, J., Hyyro, H., Avalos-Salguero, J., Siirtola, H., Penttinen, K., Aalto-Setala, K.
Number of pages: 4
Pages: 1444-1447
Publication date: 2 Nov 2014

Host publication information

Title of host publication: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Article number: 6943872
ISBN (Electronic): 9781424479290
ASJC Scopus subject areas: Health Informatics, Computer Science Applications, Biomedical Engineering
Keywords: Calcium cycling, cardiomyocytes, classification, signal analysis
Source: Scopus
Source ID: 84929461388

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Temporal dimensions of affect in user experience of digital news in the field

This paper examines temporal dimensions of affective experiences as part of user experience of digital news reading in field conditions in two case studies. The first study focused on user experience of novel browser optimized versions of news for tablet computers. The second study examined the experience of digital replicas. The participants were active readers of newspapers studied. The daily reporting of affect was done over the usage period of one week. The results of both studies showed that there are differences between positive and negative affect, in their dynamism over time and individual differences they captured. The amount of negative emotions was very low with small individual differences and it reduced over time. In contrast, positive affect indicated slightly positive user experience with larger amount of individual differences. Its main dynamism was expressed at the beginning of study.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Pervasive Computing, Research area: User experience, Eindhoven University of Technology
Contributors: Jumisko-Pyykkö, S., Pesonen, E., Väätäjä, H.
Pages: 192-197
Publication date: 17 Oct 2016

Host publication information

Title of host publication: AcademicMindtrek 2016 - Proceedings of the 20th International Academic Mindtrek Conference
Publisher: ACM
ISBN (Electronic): 9781450343671
ASJC Scopus subject areas: Human-Computer Interaction, Software, Computer Science Applications
Keywords: Authentication, Browser, Digital news, Digital replica, Emotion, Reading, Tablet, User experience
Source: Scopus
Source ID: 84994817765

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

MECSELs with direct emission in the 760 nm to 810 nm spectral range: A single- and double-side pumping comparison and high-power continuous-wave operation

We compared single-side pumping (SSP) and double-side pumping (DSP) of a semiconductor membrane external-cavity surface-emitting laser (MECSEL). The MECSEL's active region was based on a 4×3 AlGaAs quantum well (QW) structure. This structure was embedded between two silicon carbide (SiC) wafer pieces that were used as transparent intra-cavity (IC) heat spreaders creating a symmetrical cooling environment. The MECSEL structure targeted emission at 780nm and was operated at 20°C heat sink temperature. Via DSP the differential efficiency was improved from 31.9% to 34.4 %. The laser threshold was reduced from 0.79 W to 0.69 W of absorbed pump power while the maximum output power was increased from 3.13 W to 3.22 W. The DSP configuration enabled these improvements by a reduced thermal resistance of the gain element by 9 %. The MECSEL operated at a fundamental Gaussian TEM00 mode profile and the beam quality was measured to be M2 <1.09. We further demonstrate a maximum tuning range from 767 nm to 811 nm. A similar active region with about half the thickness (2×3 AlGaAs QWs) was investigated using the DSP configuration and first results are presented here. 500-μm-thick sapphire IC heat spreaders were used instead of SiC. The output power exceeded 0.5W and the emission was spectrally located around 770 nm.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Physics
Contributors: Kahle, H., Penttinen, J. P., Phung, H. M., Rajala, P., Tukiainen, A., Ranta, S., Guina, M.
Publication date: 2019

Host publication information

Title of host publication: Vertical External Cavity Surface Emitting Lasers (VECSELs) IX
Publisher: SPIE, IEEE
Editor: Keller, U.
Article number: 109010D
ISBN (Electronic): 9781510624443

Publication series

Name: Proceedings of SPIE - The International Society for Optical Engineering
Volume: 10901
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: AlGaAs, DBR-free, MECSEL, Near infra-red, Thermal management, Thermal resistance, VECSEL

Bibliographical note

INT=phys,"Rajala, Patrik"
jufoid=71479

Source: Scopus
Source ID: 85066635597

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Influence factors for sharing open science and open educational resources through social networking services

In a knowledge society it is crucial to serve the need for accurate and up-to-date knowledge produced by scientists. The possibilities of electronic communication through the use of social software provides means for open discourse and offers easier ways to make scientific and educational resources available that can be used in knowledge management and e-learning. Within this paper, we describe how researchers share knowledge in the form of artefacts. These artefacts consist of open science and open educational resources. The focus will be on understanding the influence factors for sharing these artefacts with social networking services. Through the research, an improved understanding of the decision making and sharing habits of a researcher will be obtained for the use of social software for globally distributed and open scientific communication.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Managing digital industrial transformation (mDIT), University of Jyväskylä
Contributors: Kalb, H., Pirkkalainen, H., Pawlowski, J., Schoop, E.
Number of pages: 10
Pages: 23-32
Publication date: 2011

Host publication information

Title of host publication: 6th Conference on Professional Knowledge Management: From Knowledge to Action - Proceedings
Volume: P-182
Publisher: Gesellschaft fur Informatik (GI)
ISBN (Print): 978-388579276-5
ASJC Scopus subject areas: Computer Science Applications
Source: Scopus
Source ID: 84901471135

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Viewport-adaptive encoding and streaming of 360-degree video for virtual reality applications

Virtual reality applications use 360-degree videos and head mount displays (HMDs) with stereoscopic capabilities to provide full immersion experience. In these applications it is also common to use 4K resolution or higher per view for 360-degree videos. Consequently, this leads to technical challenges in handling the bandwidth requirements while keeping the system latency to the minimal. When the content is viewed with a HMD, a subset of the entire 360-degree video is displayed at a single point of time. To improve the resolution and picture quality of the displayed content, viewport based coding is desirable. In this regard, we investigated various viewport dependent projection schemes including the existing variants of Pyramidal projection. In this regard we propose the multi-resolution versions of Equirectangular and Cubemap projections. Additionally, we developed a methodology for comparing the rate-distortion performance of these projections. Based on the simulation results, it was observed that multi-resolution projections of Equirectangle and Cubemap outperform other projection schemes, significantly.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research group: Computational Imaging-CI, Signal Processing, Research group: Video, Nokia, Nokia Technologies Oy
Contributors: Kammachi-Sreedhar, K., Aminlou, A., Hannuksela, M. M., Gabbouj, M.
Number of pages: 4
Pages: 583-586
Publication date: 18 Jan 2017

Host publication information

Title of host publication: 2016 IEEE International Symposium on Multimedia (ISM)
Publisher: IEEE
ISBN (Electronic): 9781509045709
ASJC Scopus subject areas: Artificial Intelligence, Computer Networks and Communications, Media Technology, Computer Science Applications
Keywords: Environmental mapping, View-adaptive coding

Bibliographical note

EXT="Aminlou, Alireza"

Source: Scopus
Source ID: 85015244649

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard-compliant multiview video coding and streaming for virtual reality applications

Virtual reality (VR) systems employ multiview cameras or camera rigs to capture a scene from the entire 360- degree perspective. Due to computational or latency constraints, it might not be possible to stitch multiview videos into a single video sequence prior to encoding. In this paper we investigate the coding and streaming of multiview VR video content. We present a standard-compliant method where we first divide the camera views into two types: Primary views represent a subset of camera views with lower resolution and non-overlapping (minimally overlapping) content which cover the entire 360- degree field-of-view to guarantee immediate monoscopic viewing during very rapid head movements. Auxiliary views consist of remaining camera views with higher resolution which produce overlapping content with the primary views and are additionally used for stereoscopic viewing. Based on this categorization, we propose a coding arrangement in which, the primary views are independently coded in the base layer and the additional auxiliary views are coded as an enhancement layer, using inter-layer prediction from primary views. The proposed system not only meets the low latency requirements of VR systems, but also conforms to the existing multilayer extensions of the High Efficiency Video Coding standard. Simulation results show that the coding and streaming performance of the proposed scheme is significantly improved compared to earlier methods.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Signal Processing, Nokia Technologies Oy
Contributors: Kammachi-Sreedhar, K., Aminlou, A., Hannuksela, M. M., Gabbouj, M.
Number of pages: 6
Pages: 295-300
Publication date: 18 Jan 2017

Host publication information

Title of host publication: 2016 IEEE International Symposium on Multimedia (ISM)
Publisher: IEEE
ISBN (Electronic): 9781509045709
ASJC Scopus subject areas: Artificial Intelligence, Computer Networks and Communications, Media Technology, Computer Science Applications
Keywords: Multiview video coding, Selective streaming, Virtual reality

Bibliographical note

EXT="Aminlou, Alireza"

Source: Scopus
Source ID: 85015245476

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Pulsed high-power yellow-orange VECSEL

We report on the development of a pulsed high-power frequency doubled vertical-external-cavity surface-emitting laser (VECSEL) with a peak output power of 14 W and emission spectrum near 588 nm. The semiconductor gain chip was grown by molecular beam epitaxy and comprised 10 GaInAs quantum wells. The gain structure was designed to be antiresonant at 1180 nm. The fundamental wavelength was frequency doubled to the yellow-orange spectral range using a 10-mm long critically phase matched lithium triborate nonlinear crystal, situated at the mode waist of the V-shaped laser cavity. The emission spectrum was narrowed down to FWHM of < 0.2 nm by employing a 1.5 mm birefringent filter and a 100-μm-thick etalon inside the cavity. By directly modulating the pump laser of the VECSEL, we were able to produce pulse widths down to 570 ns with average and peak output power of 81 mW and 14 W, respectively. The repetition rate was kept constant at 10 kHz throughout the measurements. The maximum peak power obtained was pump power limited. In comparison, at the same coolant temperature, a maximum of 8.5 W was achieved in continuous wave. The maximum optical-to-optical conversion efficiency (absorbed peak pump power to peak output power) was calculated to be 20-21 %. © 2014 SPIE.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Optoelectronics Research Centre, Research group: Semiconductor Technology and Applications, Frontier Photonics, Optoelectronics Research Centre, Tampere University of Technology
Contributors: Kantola, E., Leinonen, T., Ranta, S., Tavast, M., Guina, M.
Publication date: 2014

Host publication information

Title of host publication: Photonics Europe 2014, Semiconductor Lasers and Laser Dynamics VI, April 14-17, 2014, Brussels, Belgium. Proceedings of SPIE
Volume: 9134
Publisher: SPIE
Article number: 91340Z
ISBN (Print): 978-1-6284-1090-7

Publication series

Name: SPIE Conference Proceedings
Volume: 9134
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics
Keywords: Frequency doubling, Gain modulation, High-efficiency, High-power, Pulsed, SHG, Yellow-orange VECSEL

Bibliographical note

Contribution: organisation=orc,FACT1=1<br/>Portfolio EDEND: 2014-08-31<br/>Publisher name: SPIE - International Society for Optical Engineering

Source: researchoutputwizard
Source ID: 654

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1180nm VECSEL with 50 W output power

We report on the development of a high-power vertical-external-cavity surface-emitting laser (VECSEL) emitting around 1180 nm. The laser emitted 50 W of output power when the mount of the gain chip was cooled to -15°C. The output power was measured using a 97% reflective cavity end-mirror. The VECSEL was arranged to form an I-shaped cavity with a length of ∼100 mm; the gain chip and a curved dielectric mirror (RoC=150) acting as cavity end mirrors. The gain chip was grown by molecular beam epitaxy (MBE) and incorporated 10 GaInAs/GaAs quantum wells. For efficient heat extraction, the chip was capillary bonded to a diamond heat spreader which was attached to a TEC-cooled copper mount. The maximum optical-to-optical conversion efficiency of 28% was achieved for 42 W of output power and -15°C mount temperature.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Optoelectronics Research Centre, Research group: Semiconductor Technology and Applications, Frontier Photonics
Contributors: Kantola, E., Leinonen, T., Ranta, S., Tavast, M., Penttinen, J., Guina, M.
Publication date: 2015

Host publication information

Title of host publication: Proceedings of SPIE - The International Society for Optical Engineering
Volume: 9349
Publisher: SPIE
Article number: 93490U
ISBN (Print): 9781628414394
ASJC Scopus subject areas: Applied Mathematics, Computer Science Applications, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics
Keywords: continuous wave, frequency doubling, heat management, high power, infrared, power scaling, SDL, VECSEL
Source: Scopus
Source ID: 84925666801

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

An enumeration-based model predictive control strategy for the cascaded H-bridge multilevel rectifier

In this paper, a model predictive control strategy is adapted to the cascaded H-bridge (CHB) multilevel rectifier. The proposed control scheme aims to keep the sinusoidal input current in phase with the supply voltage and to achieve independent voltage regulation of the H-bridge cells. To do so, the switches are directly manipulated without the need of a modulator. Furthermore, since all the possible switching combinations are taken into account, the controller exhibits favorable performance not only under nominal conditions but also under asymmetrical voltage potentials and unbalanced loads. Finally, a short horizon is employed in order to ensure robustness; this way, the required computational effort remains reasonable, making it possible to implement the algorithm in a real-time system. Experimental results obtained from a two-cell CHB rectifier are presented in order to demonstrate the performance of the proposed approach.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Smart Energy Systems (SES), Technische Universitat Munchen, ABB Oy, National Technical University of Athens
Contributors: Karamanakos, P., Pavlou, K., Manias, S.
Number of pages: 10
Pages: 3480-3489
Publication date: Jul 2014
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Industrial Electronics
Volume: 61
Issue number: 7
ISSN (Print): 0278-0046
Ratings: 
  • Scopus rating (2014): CiteScore 9.19 SJR 2.341 SNIP 4.549
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Control and Systems Engineering, Computer Science Applications
Keywords: Cascaded H-bridge (CHB) multilevel rectifier, model predictive control (MPC), optimal control
Source: Scopus
Source ID: 84894195338

Research output: Contribution to journalArticleScientificpeer-review

Variable switching point predictive torque control

In this paper an approach to include a variable switching time point into predictive torque control (PTC) is introduced. In PTC the switching frequency is limited by the sampling frequency; its theoretical maximum value is half the sampling frequency. In reality, however, the switching frequency is lower than this value, resulting in high current and torque ripples compared to modulator-based control methods. In order to overcome this an optimization problem is formulated and solved in real-time. The goal is to find the time point at which the switches of the inverter should change state in order to not only achieve the regulation of the torque and the flux magnitude to their references, but also the minimization of the torque ripple. Further advantages of the proposed method include the design flexibility and great performance during transients. Experimental results that verify the performance of the presented control strategy are included.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Smart Energy Systems (SES), Department of Electrical and Computer Engineering, National Technical University of Athens, Technische Universitat Munchen, University of Stellenbosch
Contributors: Karamanakos, P., Stolze, P., Kennel, R., Manias, S., Mouton, T.
Number of pages: 6
Pages: 422-427
Publication date: Feb 2013

Host publication information

Title of host publication: Proceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013
ISBN (Print): 9781467345699
ASJC Scopus subject areas: Electrical and Electronic Engineering, Computer Science Applications
Source: Scopus
Source ID: 84877596084

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Service-oriented approach to improve interoperability of e-learning systems

We present a design and open source implementation for a service oriented e-learning system, which utilizes external services for supporting a wide range of learning content and also offers a REST API for external clients to fetch information stored in the system. The design will separate different concerns, such as user authentication and exercise assessment, into separate services, which together form a complete e-learning environment. A key component of the design is identifying a general set of characteristics among existing exercise assessment systems, by which the assessment methods are grouped into three types: synchronous, asynchronous and static exercises.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Regulation of learning and active learning methods (REALMEE), Aalto University, Department of Computer Science and Eng., Houston Inc. Consulting Oy
Contributors: Karavirta, V., Ihantola, P., Koskinen, T.
Number of pages: 5
Pages: 341-345
Publication date: 2013

Host publication information

Title of host publication: Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
Article number: 6601947
ISBN (Print): 9780769550091
ASJC Scopus subject areas: Computer Science Applications
Keywords: automatic assessment, e-learning, interoperability, LMS, service oriented
Source: Scopus
Source ID: 84885222805

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Integrated multi-wavelength mid-IR light source for gas sensing

Cost effective multi-wavelength light sources are key enablers for spectroscopic applications at Mid-IR wavelength range. Utilizing a novel Mid-IR Si-based photonic integrated circuit filter and wide-band Mid-IR SLEDs, we show the concept of a light source that covers 2.7.3.5 μm wavelength range with a resolution <1nm. The spectral bands are switchable and tunable and they can be modulated. The source allows for the fabrication of an affordable multi-band gas sensor with good selectivity and sensitivity. The unit price can be lowered in high volumes by utilizing tailored molded IR lens technology and automated packaging and assembling technologies. The status of the development of the key components of the light source are reported. The Mid-IR PIC is based on the use of thick-SOI technology, SLED is based on AlGaInAsSb materials and the lenses are tailored single crystal, nonoxide glass and heavy metal oxide glasses fabricated by the use of hot-embossing. The packaging concept utilizing automated assembly tools are depicted. In safety and security applications, the Mid-IR wavelength range covered by the source allows for the detection of several harmful gas components with a single sensor. At the moment, affordable sources are not available. The market impact is expected to be disruptive, since the devices currently in the market are either complicated, expensive and heavy instruments, or the applied measurement principles are inadequate in terms of stability and selectivity.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Photonics, Research group: ORC, VTT Technical Research Centre of Finland, Institute of Electronic Materials Technology, Vaisala Oyj, Airoptic Sp. z o.o., GasSecure, VIGO System S.A.
Contributors: Karioja, P., Alajoki, T., Cherchi, M., Ollila, J., Harjanne, M., Heinilehto, N., Suomalainen, S., Zia, N., Tuorila, H., Viheriälä, J., Guina, M., Buczynski, R., Kasztelanic, R., Salo, T., Virtanen, S., Kluczynski, P., Borgen, L., Ratajczyk, M., Kalinowski, P.
Publication date: 2018

Host publication information

Title of host publication: Next-Generation Spectroscopic Technologies XI
Publisher: SPIE, IEEE
Article number: 106570A
ISBN (Electronic): 9781510618251

Publication series

Name: SPIE Conference Proceedings
Volume: 10657
ISSN (Print): 0277-786X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: gas sensing, Mid-IR integrated optics, Mid-IR lens, photonics packaging, PIC, Si photonics, SLED

Bibliographical note

jufoid=71479

Source: Scopus
Source ID: 85050701514

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Maturity assessment for implementing and using product lifecycle management in project-oriented engineering companies

Product lifecycle management (PLM) is a systematic and holistic way to approach challenges that exist in managing product-related information along a product's lifecycle from product design to its disposal. There is an established set of information management approaches that address important subsets of lifecycle information management challenges, e.g., product data management (PDM), customer relationship management (CRM) and enterprise resource planning (ERP). A common characteristic of PLM is that implementation is a very challenging and complex long-term process, requiring changes in organisation, systems, conventions and importantly, skills and capabilities. The aim of this paper is to discuss the issue of PLM maturity assessment and its use and application in the specific industrial context of project-oriented engineering companies. Within this context, the empirical part of the paper studies the usefulness and tailoring needs of generic capability maturity assessment in implementing and facilitating PLM.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Information Management and Logistics, Research group: Novi, Augmented Human Activities (AHA), Managing digital industrial transformation (mDIT), Lappeenranta University of Technology
Contributors: Kärkkäinen, H., Myllärniemi, J., Okkonen, J., Silventoinen, A.
Number of pages: 23
Pages: 176-198
Publication date: 2014
Peer-reviewed: Yes

Publication information

Journal: International Journal of Electronic Business
Volume: 11
Issue number: 2
ISSN (Print): 1470-6067
Original language: English
ASJC Scopus subject areas: Business, Management and Accounting(all), Computer Science Applications
Keywords: Capability maturity assessment, Capability maturity model, CMM, Maturity models, PLM, Product lifecycle management, Project business
Source: Scopus
Source ID: 84946840351

Research output: Contribution to journalArticleScientificpeer-review

Rethinking Playing Research: DJ HERO and Methodological Observations in the Mix

Playing games has a crucial methodological role within the study of games. At the same time, detailed overviews of how academic playing is conducted are difficult to find. In this article, the authors begin with Espen Aarseth's outline of playing research and offer some updates to it in order to build a more context-aware approach. To exemplify the elaborated methodology, the authors apply it to the rhythm game DJ HERO. They emphasize in this article that a game not only creates a world of its own, but also is in many ways connected to the traditions directed by real-world culture and economics. Thus, playing research needs to go beyond the limits of gameworld and normative gameplay, and move toward a concept or assemblage of play that takes into account games as singular and multifaceted technocultural entities.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Mathematical modelling with wide societal impact (MathImpact), Turun Yliopisto/Turun Biomateriaalikeskus
Contributors: Karppi, T., Sotamaa, O.
Number of pages: 17
Pages: 413-429
Publication date: Jun 2012
Peer-reviewed: Yes

Publication information

Journal: SIMULATION AND GAMING
Volume: 43
Issue number: 3
ISSN (Print): 1046-8781
Ratings: 
  • Scopus rating (2012): CiteScore 1.73 SJR 1.037 SNIP 2.174
Original language: English
ASJC Scopus subject areas: Business, Management and Accounting (miscellaneous), Computer Science Applications
Keywords: assemblage, cheating, controller, DJ HERO, gameplay, methodology, modification, playing games, playing research, real world, remix culture, research methods, rhythm games
Source: Scopus
Source ID: 84862604514

Research output: Contribution to journalArticleScientificpeer-review

Comparative analysis of tissue reconstruction algorithms for 3D histology

Motivation: Digital pathology enables new approaches that expand beyond storage, visualization or analysis of histological samples in digital format. One novel opportunity is 3D histology, where a three-dimensional reconstruction of the sample is formed computationally based on serial tissue sections. This allows examining tissue architecture in 3D, for example, for diagnostic purposes. Importantly, 3D histology enables joint mapping of cellular morphology with spatially resolved omics data in the true 3D context of the tissue at microscopic resolution. Several algorithms have been proposed for the reconstruction task, but a quantitative comparison of their accuracy is lacking. Results: We developed a benchmarking framework to evaluate the accuracy of several free and commercial 3D reconstruction methods using two whole slide image datasets. The results provide a solid basis for further development and application of 3D histology algorithms and indicate that methods capable of compensating for local tissue deformation are superior to simpler approaches.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Faculty of Biomedical Sciences and Engineering, Mechanical Engineering and Industrial Systems, Signal Processing, Research group: Data-analytics and Optimization, Tampere University Hospital, Faculty of Medicine and Life Sciences, BioMediTech, Fimlab Laboratories Ltd, BioMediTech Institute
Contributors: Kartasalo, K., Latonen, L., Vihinen, J., Visakorpi, T., Nykter, M., Ruusuvuori, P.
Number of pages: 9
Pages: 3013-3021
Publication date: 1 Sep 2018
Peer-reviewed: Yes

Publication information

Journal: Bioinformatics
Volume: 34
Issue number: 17
ISSN (Print): 1367-4803
Ratings: 
  • Scopus rating (2018): CiteScore 5.94 SJR 4.549 SNIP 1.869
Original language: English
ASJC Scopus subject areas: Statistics and Probability, Biochemistry, Molecular Biology, Computer Science Applications, Computational Theory and Mathematics, Computational Mathematics
Electronic versions: 
Source: Scopus
Source ID: 85055091427

Research output: Contribution to journalArticleScientificpeer-review

An approach to production scheduling optimization a case of an oil lubrication and hydraulic systems manufacturer

Cloud-enabled tools developed in the Cloud Collaborative Manufacturing Networks (C2NET) project address the needs of small and medium enterprises with respect to information exchange and visibility across the collaboration partners in the supply network, coupled with automated and collaborative production planning and supply management. This paper analyses a case of an oil lubrication and hydraulic systems manufacturer and describes a pilot application of C2NET where the production schedule is optimized according to the priorities of the pilot company. In this case the goal is a highly adaptive just-in-time manufacturing schedule with guaranteed on time delivery.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Automation and Hydraulic Engineering, VTT Technical Research Centre of Finland, Roberto Camp Fluidhouse Ltd.
Contributors: Katasonov, A., Lastusilta, T., Korvola, T., Saari, L., Bendas, D., Mohammed, W. M., Lee, A. N.
Number of pages: 8
Pages: 1123-1130
Publication date: 2 Feb 2018

Host publication information

Title of host publication: 2017 International Conference on Engineering, Technology and Innovation : Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
Publisher: IEEE
ISBN (Electronic): 9781538607749
ASJC Scopus subject areas: Computer Science Applications, Software, Engineering (miscellaneous), Computer Networks and Communications
Keywords: cloud-supported manufacturing, enterprise collaboration, information exchange, just-in-time manufacturing, Mixed-Integer Linear Programming, on time delivery, optimization, production scheduling, Small and Medium size Enterprise, supply network
Source: Scopus
Source ID: 85047524893

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Computational wavelength resolution for in-line lensless holography: Phase-coded diffraction patterns and wavefront group-sparsity

In-line lensless holography is considered with a random phase modulation at the object plane. The forward wavefront propagation is modelled using the Fourier transform with the angular spectrum transfer function. The multiple intensities (holograms) recorded by the sensor are random due to the random phase modulation and noisy with Poissonian noise distribution. It is shown by computational experiments that high-accuracy reconstructions can be achieved with resolution going up to the two thirds of the wavelength. With respect to the sensor pixel size it is a super-resolution with a factor of 32. The algorithm designed for optimal superresolution phase/amplitude reconstruction from Poissonian data is based on the general methodology developed for phase retrieval with a pixel-wise resolution in V. Katkovnik, "Phase retrieval from noisy data based on sparse approximation of object phase and amplitude", http://www.cs.tut.fi/∼lasip/DDT/index3.html.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Signal Processing, Department of Photonics and Optical Information Technology, ITMO University
Contributors: Katkovnik, V., Shevkunov, I., Petrov, N. V., Egiazarian, K.
Publication date: 2017

Host publication information

Title of host publication: Digital Optical Technologies 2017
Publisher: SPIE
Article number: 1033509
ISBN (Electronic): 9781510611153

Publication series

Name: Proceedings of SPIE
Volume: 10335
ISSN (Print): 0277-786X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: Discrete optical signal processing, Image processing, Noise in imaging systems, Phase retrieval, Superresolution

Bibliographical note

jufoid=71479

Source: Scopus
Source ID: 85030715279

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Multiwavelength surface contouring from phase-coded diffraction patterns

We propose a new algorithm for absolute phase retrieval from multiwavelength noisy phase coded diffraction patterns in the task of surface contouring. A lensless optical setup is considered with a set of successive single wavelength experiments. The phase masks are applied for modulation of the multiwavelength object wavefronts. The algorithm uses the forward and backward propagation for coherent light beams and sparsely encoding wavefronts which leads to the complex-domain block-matching 3D filtering. The key-element of the algorithm is an original aggregation of the multiwavelength object wavefronts for high-dynamic-range profile measurement. Numerical experiments demonstrate that the developed approach leads to the effective solutions explicitly using the sparsity for noise suppression and high-accuracy object profile reconstruction.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Signal Processing, Research group: Computational Imaging-CI, ITMO University
Contributors: Katkovnik, V., Shevkunov, I., Petrov, N. V., Eguiazarian, K.
Publication date: 1 Jan 2018

Host publication information

Title of host publication: Unconventional Optical Imaging 2018. Strasbourg, France
Publisher: SPIE
Article number: 106771B
ISBN (Print): 978-1-5106-1880-0

Publication series

Name: Proceedings of SPIE - The International Society for Optical Engineering
Volume: 10677
ISSN (Electronic): 0277-786X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: absolute phase retrieval, discrete optical signal processing, Multiwavelength phase retrieval, phase imaging, surface contouring
Source: Scopus
Source ID: 85052446644

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Virtualizing power cords by wireless power transmission and energy harvesting

In this paper, we introduce two different approaches for the virtualization of power cords for electrical devices. The first approach is a new concept for routing electric power by wireless transfer on two-dimensional surfaces, such as floors and walls. Unlike any other existing wireless power transfer scheme, this method can deliver electric power over a wide range with minimal loss. We realize this method using multi-hop displacement of a magnetic antenna array. Each array element can be selectively resonated with adjacent elements to deliver power without physical contact. The second approach utilizes far-field RF energy harvesting. Using an efficient voltage multiplier and adaptive software-based control, it is possible to operate low-power wireless sensors continuously.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Sensing Systems for Wireless Medicine (MediSense), University of Tokyo, Georgia Institute of Technology
Contributors: Kawahara, Y., Wei, W., Narusue, Y., Shigeta, R., Asami, T., Tentzeris, M.
Number of pages: 3
Pages: 37-39
Publication date: 2013

Host publication information

Title of host publication: RSW 2013 - 2013 IEEE Radio and Wireless Symposium - RWW 2013
Article number: 6486633
ISBN (Print): 9781467329309
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Electrical and Electronic Engineering, Communication
Keywords: RF energy harvesting, Wireless power transmission
Source: Scopus
Source ID: 84876754120

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Fast Water Simulation Methods for Games

Easy-To-use physics engines have created a whole new source of emergence and fun for digital games.Water simulation could add another similar emergent interaction element in 3D games. Several barriers that prevent this step for games with large playing areas are analysed. One of the most important problems is howto couple the water and physics simulations. Our implementation of the extremely fast virtual pipe method is compared with more sophisticated solvers. Also, two different implementations of physics coupling are compared.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Pervasive Computing
Contributors: Kellomäki, T.
Publication date: 1 Dec 2017
Peer-reviewed: Yes

Publication information

Journal: Computers in Entertainment
Volume: 16
Issue number: 1
Article number: 2
ISSN (Print): 1544-3574
Ratings: 
  • Scopus rating (2017): CiteScore 0.5 SJR 0.133 SNIP 0.541
Original language: English
ASJC Scopus subject areas: Computer Science Applications
Keywords: Fluid simulation, Games, Pipe method, Realtime, Rigid body coupling, Water simulation
Source: Scopus
Source ID: 85040027871

Research output: Contribution to journalArticleScientificpeer-review

Performance evaluation of distributed NoTA applications on multi-core platforms

For future applications running on nomadic devices operating in smart spaces, the availability of the services and the quest for better alternative services will go hand in hand to enable the best-possible experience for the end-user. To realize it, a service-level interoperability solution must be devised that would enable applications to access services over heterogeneous platforms and various transport technologies. The recent extension of the Network-on-Terminal-Architecture (NoTA) supports service-level interoperability between mobile devices via a device interconnect protocol (NoTA DIP), enabling applications to access and discover services over multiple transport technologies in a seamless manner. A brisk performance evaluation phase is required for evaluating the feasibility of new NoTA applications on modern multi-core based mobile device platforms. To achieve this goal, NoTA Service Oriented Architecture (SOA) application components. i.e., Application Nodes (ANs) and Service Nodes (ANs) are first refined to encompassing processes and then to platform services and functions to form a layered application architecture. In next step, the NoTA SOA application model layers are mapped to ABSOLUT workload model layers employed in performance simulation. Furthermore, the ABSOLUT workload models corresponding to different NoTA DIP implementations for example NoTA DIP kernel implementation and NOTA DIP Daemon mode must be modeled and integrated to ABSOLUT. The approach is experimented with a case study. The modeled components and approach is not limited to NoTA SOA and can be used for the performance evaluation of other distributed service oriented application architectures. MARTE UML2.0 profile, Papyrus UML 2.0 modeling tool and SystemC were used for modeling and simulation.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research group: System-on-Chip for GNSS, Wireless Communications and Cyber-Physical Embedded Computing, Department of Computer Systems, Wireless Communications and Positioning (WICO), VTT Technical Research Centre of Finland
Contributors: Khan, S., Saastamoinen, J., Huusko, J., Nurmi, J.
Publication date: 2011

Host publication information

Title of host publication: Proceedings - 2011 IEEE 2nd International Conference on Networked Embedded Systems for Enterprise Applications, NESEA 2011
Article number: 6144931
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications
Keywords: NoTA, Performance Simulation, SystemC
Source: Scopus
Source ID: 84857582538

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2.4 GHz inkjet-printed RF energy harvester on bulk cardboard substrate

An experimental investigation on the inkjetprinted power harvester for 2.4GHz and review of RF characterization of substrate and printed conductors are presented in this paper. A one stage discrete rectifier based on a voltage doubler structure and a planar monopole antenna are fabricated on cardboard using inkjet printing. The performance of the whole system is examined by measuring the output voltage of the RF power harvester. By the utilization of the proposed idea, the fabrication of low-cost environmentally-friendly battery-less wireless modules is conceivable.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Department of Electronics and Communications Engineering, Research group: Wireless Identification and Sensing Systems Research Group, Sensing Systems for Wireless Medicine (MediSense), Aristotle University of Thessaloniki, School of Electrical and Computer Engineering, Georgia Institute of Technology, School of Electrical and Computer Engineering
Contributors: Khonsari, Z., Björninen, T., Tentzeris, M. M., Sydänheimo, L., Ukkonen, L.
Number of pages: 3
Pages: 153-155
Publication date: Jan 2015

Host publication information

Title of host publication:  2015 IEEE Radio and Wireless Symposium (RWS), 25-28 Jan. 2015, San Diego, CA
Publisher: IEEE
ISBN (Print): 978-1-4799-5507-7
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Electrical and Electronic Engineering, Communication
Keywords: additive manufacturing, cardboard substrate, energy harvester, Inkjet printing, planar monopole
Source: Scopus
Source ID: 84937875886

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

RF tag front-end design for uncompromised communication and harvesting

Typically, low-cost and low-power backscatter radio communicators utilize a switching mechanism for alternating the antenna load between two values. In this way, they achieve modulation by reflection of the RF waves induced at the communicator's antenna. For tags that employ a rectifier for wireless energy harvesting, a single transistor may switch between the matched harvester and a reflective load (an open or short). However, optimized backscatter communication occurs when switching between two reflective loads, ideally an open and a short. This prohibits the use of a harvester that requires a good matching (i.e. no reflections) and produces a tradeoff of either compromising communication performance or not employing a harvester. Although this may not pose a problem for commodity RFID tags that operate in short ranges and do not require high computational ability, it is a strong limitation for applications like wireless sensor networks that employ backscatter radio as a low-cost and low-power communication scheme. In this work, an RF front-end is designed, analyzed, and implemented, that overcomes the limitation of compromising communication performance when employing a harvester.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Sensing Systems for Wireless Medicine (MediSense), Georgia Institute of Technology
Contributors: Kimionis, J., Tentzeris, M. M.
Number of pages: 6
Pages: 109-114
Publication date: 22 Oct 2014

Host publication information

Title of host publication: 2014 IEEE RFID Technology and Applications Conference, RFID-TA 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Article number: 6934210
ISBN (Electronic): 9781479946808
ASJC Scopus subject areas: Computer Networks and Communications, Computer Science Applications, Electrical and Electronic Engineering
Keywords: backscatter radio, communication, harvesting, RFID, tag design
Source: Scopus
Source ID: 84912130713

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Single exposure lensless subpixel phase imaging

Lensless phase-retrieval system with phase modulation of free propagation wavefront is proposed. Contrary to the traditional super-resolution phase-retrieval, the method in this paper requires a single observation only and uses advanced SR-SPAR iterative technique. Successful object imaging relies on modulation of the object wavefront with a random phase-mask, which generates enlarged intensity patterns, allowing us to extract more information than it is possible without such a mask. The achieved high-quality super-resolution phase-imaging is demonstrated by simulation-tests produced with the parameters corresponding to the physical prototype of the considered optical system.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Computing Sciences, Research group: Computational Imaging-CI
Contributors: Kocsis, P., Shevkunov, I., Katkovnik, V., Egiazarian, K.
Number of pages: 9
Publication date: 2019

Host publication information

Title of host publication: Digital Optical Technologies 2019
Publisher: SPIE, IEEE
Editors: Kress, B. C., Schelkens, P.
ISBN (Electronic): 9781510628038

Publication series

Name: Proceedings of SPIE - The International Society for Optical Engineering
Volume: 11062
ISSN (Print): 0277-786X
ISSN (Electronic): 1996-756X
ASJC Scopus subject areas: Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Computer Science Applications, Applied Mathematics, Electrical and Electronic Engineering
Keywords: Diffractive optical element, Lensless imaging, Lensless system design, Phase imaging, Phase measurement, Phase retrieval, Sparse representation, Sub-pixel resolution
Source: Scopus
Source ID: 85074197001

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Stability-Guaranteed Force-Sensorless Contact Force/Motion Control of Heavy-Duty Hydraulic Manipulators

In this paper, a force-sensorless high-performance contact force/motion control approach is proposed for multiple-degree-of-freedom hydraulic manipulators. A rigorous stability proof for an entire hydraulic manipulator performing contact tasks is provided for the first time. The controller design for the manipulator is based on the recently introduced virtual decomposition control approach. As a significant novelty, the end-effector contact force is directly estimated from the manipulator's cylinder pressure data, which provides a practical solution for heavy-duty contact force control without engaging fragile force/torque sensors. In the experiments, the proposed controller achieved a force control accuracy of 4.1% at a desired contact force of 8000 N while in motion. This can be considered a significant result due to the hydraulic actuators' highly nonlinear behaviors, the coupled mechanical linkage dynamics, and the complex interaction dynamics between the manipulator and the environment.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Intelligent Hydraulics and Automation, Research group: Mobile manipulation, Field robotics for efficient work sites (FIRE)
Contributors: Koivumäki, J., Mattila, J.
Number of pages: 18
Pages: 918-935
Publication date: 1 Aug 2015
Peer-reviewed: Yes

Publication information

Journal: IEEE Transactions on Robotics
Volume: 31
Issue number: 4
ISSN (Print): 1552-3098
Ratings: 
  • Scopus rating (2015): CiteScore 4.86 SJR 2.271 SNIP 2.772
Original language: English
ASJC Scopus subject areas: Electrical and Electronic Engineering, Control and Systems Engineering, Computer Science Applications
Keywords: Contact force estimation, contact force/motion control, hydraulic manipulators, nonlinear model-based control, stability analysis, virtual decomposition control (VDC)

Research output: Contribution to journalArticleScientificpeer-review

Adaptive and nonlinear control of discharge pressure for variable displacement axial piston pumps

This paper proposes, for the first time without using any linearization or order reduction, an adaptive and model-based discharge pressure control design for the variable displacement axial piston pumps (VDAPPs), whose dynamical behaviors are highly nonlinear and can be described by a fourth-order differential equation. The rigorous stability proof, with an asymptotic convergence, is given for the entire system. In the proposed novel controller design method, the specifically designed stabilizing terms constitute an essential core to cancel out all the stability-preventing terms. The experimental results reveal that rapid parameter adaptation significantly improves the feedback signal tracking precision compared to a known-parameter controller design. In the comparative experiments, the adaptive controller design demonstrates the state-of-the-art discharge pressure control performance, enabling a possibility for energy consumption reductions in hydraulic systems driven with VDAPP.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Automation and Hydraulic Engineering, Research group: Mobile manipulation
Contributors: Koivumäki, J., Mattila, J.
Publication date: 1 Oct 2017
Peer-reviewed: Yes

Publication information

Journal: Journal of Dynamic Systems, Measurement and Control: Transactions of the ASME
Volume: 139
Issue number: 10
Article number: 101008
ISSN (Print): 0022-0434
Ratings: 
  • Scopus rating (2017): CiteScore 1.74 SJR 0.618 SNIP 1.024
Original language: English
ASJC Scopus subject areas: Control and Systems Engineering, Information Systems, Instrumentation, Mechanical Engineering, Computer Science Applications
Source: Scopus
Source ID: 85021623538

Research output: Contribution to journalArticleScientificpeer-review

Energy-efficient and high-precision control of hydraulic robots

In addition to high-precision closed-loop control performance, energy efficiency is another vital characteristic in field-robotic hydraulic systems as energy source(s) must be carried on board in limited space. This study proposes an energy-efficient and high-precision closed-loop controller for the highly nonlinear hydraulic robotic manipulators. The proposed method is twofold: 1) A possibility for energy consumption reduction is realized by using a separate meter-in separate meter-out (SMISMO) control set-up, enabling an independent metering (pressure control) of each chamber in hydraulic actuators. 2) A novel subsystem-dynamics-based and modular controller is designed for the system actuators, and it is integrated to the previously designed state-of-the-art controller for multiple degrees-of-freedom (n-DOF) manipulators. Stability of the overall controller is rigorously proven. The comparative experiments with a three-DOF redundant hydraulic robotic manipulator (with a payload of 475 kg) demonstrate that: 1) It is possible to design the triple objective of high-precision piston position, piston force and chamber pressure trackings for the hydraulic actuators. 2) In relation to the previous SMISMO-control methods, unprecedented motion and chamber pressure tracking performances are reported. 3) In comparison to the state-of-the-art motion tracking controller with a conventional energy-inefficient servovalve control, the actuators’ energy consumption is reduced by 45% without noticeable motion control (position-tracking) deterioration.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Research group: Innovative Hydraulic Automation, Automation Technology and Mechanical Engineering, Canadian Space Agency
Contributors: Koivumäki, J., Zhu, W. H., Mattila, J.
Number of pages: 18
Pages: 176-193
Publication date: 1 Apr 2019
Peer-reviewed: Yes

Publication information

Journal: Control Engineering Practice
Volume: 85
ISSN (Print): 0967-0661
Original language: English
ASJC Scopus subject areas: Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering, Applied Mathematics
Keywords: Energy efficiency, Hydraulic robots, Independent metering, Nonlinear control, SMISMO control, Stability analysis
Electronic versions: 
Source: Scopus
Source ID: 85061341920

Research output: Contribution to journalArticleScientificpeer-review

Secure Firmware Updates for IoT: A Survey

The evolution of the Internet to an ubiquitous computing environment where massive amounts of devices will be connected. Sharing, receiving and acting upon data has brought in a problem of security. There are as many firmware and software update procedures as there are manufacturers. Therefore it would be good if a common solution could be found. We looked for suitable mechanisms in the past three years, to be used in Internet of Things networks as well as an up and coming research and standardization work. Our findings show that there indeed are good options for firmware update mechanisms that use state-of-The-Art technologies to deliver updates in a secure manner. While not all the mechanisms were specifically targeting deployment scenarios found in the Internet of Things, we still believe the concept of such update mechanism is suitable also for IoT use and thus can be adapted trivially to IoT networks and devices. We also propose a generic four-element model for secure firmware updates.

General information

Publication status: Published
MoE publication type: A4 Article in a conference publication
Organisations: Research area: Information security, Computing Sciences
Contributors: Kolehmainen, A.
Number of pages: 6
Pages: 112-117
Publication date: 1 Jul 2018

Host publication information

Title of host publication: Proceedings - IEEE 2018 International Congress on Cybermatics : 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
Publisher: IEEE
ISBN (Electronic): 9781538679753
ASJC Scopus subject areas: Business, Management and Accounting (miscellaneous), Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Hardware and Architecture, Information Systems and Management, Health Informatics, Communication
Keywords: Firmware updates, IoT, Lifecycle Management
Source: Scopus
Source ID: 85067883718

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Robust data reconciliation of combustion variables in multi-fuel fired industrial boilers

This paper introduces an application of simultaneous nonlinear data reconciliation and gross error detection for power plants utilizing a complex but computationally light first principle combustion model. Element and energy balances and robust techniques introduce nonlinearity and the consequent optimization problem is solved using nonlinear optimization. Data reconciliation improves estimation of process variables and enables improved sensor quality control and identification of process anomalies. The approach was applied to an industrial 200 MWth fluidized bed boiler combusting wood, peat, bark, and slurry. The results indicate that the approach is valid and is able to perform in various process conditions. As the combustion model is generic, the method is applicable in any boiler environment.

General information

Publication status: Published
MoE publication type: A1 Journal article-refereed
Organisations: Department of Automation Science and Engineering, Research area: Dynamic Systems, Research area: Measurement Technology and Process Control, Indmeas Ltd.
Contributors: Korpela, T., Suominen, O., Majanne, Y.