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A conceptual modeling and simulation framework for system Design

Tutkimustuotosvertaisarvioitu

Standard

A conceptual modeling and simulation framework for system Design. / Coatanea, Eric; Roca, Ric; Mokhtarian, Hossein; Mokammel, Faisal; Ikkala, Kimmo.

julkaisussa: Computing in Science and Engineering, Vuosikerta 18, Nro 4, 01.07.2016, s. 42-52.

Tutkimustuotosvertaisarvioitu

Harvard

Coatanea, E, Roca, R, Mokhtarian, H, Mokammel, F & Ikkala, K 2016, 'A conceptual modeling and simulation framework for system Design', Computing in Science and Engineering, Vuosikerta. 18, Nro 4, Sivut 42-52. https://doi.org/10.1109/MCSE.2016.75

APA

Coatanea, E., Roca, R., Mokhtarian, H., Mokammel, F., & Ikkala, K. (2016). A conceptual modeling and simulation framework for system Design. Computing in Science and Engineering, 18(4), 42-52. https://doi.org/10.1109/MCSE.2016.75

Vancouver

Coatanea E, Roca R, Mokhtarian H, Mokammel F, Ikkala K. A conceptual modeling and simulation framework for system Design. Computing in Science and Engineering. 2016 heinä 1;18(4):42-52. https://doi.org/10.1109/MCSE.2016.75

Author

Coatanea, Eric ; Roca, Ric ; Mokhtarian, Hossein ; Mokammel, Faisal ; Ikkala, Kimmo. / A conceptual modeling and simulation framework for system Design. Julkaisussa: Computing in Science and Engineering. 2016 ; Vuosikerta 18, Nro 4. Sivut 42-52.

Bibtex - Lataa

@article{7659030f9145464d9f435cd9cd6d0e03,
title = "A conceptual modeling and simulation framework for system Design",
abstract = "This article presents the dimensional analysis conceptual modeling (DACM) framework, intended as a conceptual modeling mechanism for lifecycle systems engineering. DACM is a novel computer-aided method originally developed for military projects, but it's now available for other applications, too. The DACM framework is a powerful approach for specifying, discovering, validating, and reusing building blocks as well as analyzing system behavior in early development stages. This framework is based on dimensional analysis combined with causal graphs to represent the interactions and interdependencies among system variables. The framework's algorithms are codified into software applications to facilitate its use. This article provides a practical presentation of the steps that encompass the transformation from problem to solution space, key system variables extraction, causal ordering, clustering of variables, and qualitative analyses. The authors provide two examples that cover in detail the DACM's mathematic machinery for deriving a system's behavioral laws from a causal graph. The entire DACM approach is supported by a computer-based application that integrates all the steps of the framework presented in this article.",
author = "Eric Coatanea and Ric Roca and Hossein Mokhtarian and Faisal Mokammel and Kimmo Ikkala",
year = "2016",
month = "7",
day = "1",
doi = "10.1109/MCSE.2016.75",
language = "English",
volume = "18",
pages = "42--52",
journal = "Computing in Science and Engineering",
issn = "1521-9615",
publisher = "Institute of Electrical and Electronics Engineers",
number = "4",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - A conceptual modeling and simulation framework for system Design

AU - Coatanea, Eric

AU - Roca, Ric

AU - Mokhtarian, Hossein

AU - Mokammel, Faisal

AU - Ikkala, Kimmo

PY - 2016/7/1

Y1 - 2016/7/1

N2 - This article presents the dimensional analysis conceptual modeling (DACM) framework, intended as a conceptual modeling mechanism for lifecycle systems engineering. DACM is a novel computer-aided method originally developed for military projects, but it's now available for other applications, too. The DACM framework is a powerful approach for specifying, discovering, validating, and reusing building blocks as well as analyzing system behavior in early development stages. This framework is based on dimensional analysis combined with causal graphs to represent the interactions and interdependencies among system variables. The framework's algorithms are codified into software applications to facilitate its use. This article provides a practical presentation of the steps that encompass the transformation from problem to solution space, key system variables extraction, causal ordering, clustering of variables, and qualitative analyses. The authors provide two examples that cover in detail the DACM's mathematic machinery for deriving a system's behavioral laws from a causal graph. The entire DACM approach is supported by a computer-based application that integrates all the steps of the framework presented in this article.

AB - This article presents the dimensional analysis conceptual modeling (DACM) framework, intended as a conceptual modeling mechanism for lifecycle systems engineering. DACM is a novel computer-aided method originally developed for military projects, but it's now available for other applications, too. The DACM framework is a powerful approach for specifying, discovering, validating, and reusing building blocks as well as analyzing system behavior in early development stages. This framework is based on dimensional analysis combined with causal graphs to represent the interactions and interdependencies among system variables. The framework's algorithms are codified into software applications to facilitate its use. This article provides a practical presentation of the steps that encompass the transformation from problem to solution space, key system variables extraction, causal ordering, clustering of variables, and qualitative analyses. The authors provide two examples that cover in detail the DACM's mathematic machinery for deriving a system's behavioral laws from a causal graph. The entire DACM approach is supported by a computer-based application that integrates all the steps of the framework presented in this article.

U2 - 10.1109/MCSE.2016.75

DO - 10.1109/MCSE.2016.75

M3 - Article

VL - 18

SP - 42

EP - 52

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

SN - 1521-9615

IS - 4

ER -