Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing Systems

Engineering Cyber-physical information gathering and utilizing systems(CIGUS) presents the systems engineer with a difficult, multi-criterion, multi-objective decision problem. Research, development and design is done over many disciplines, across many domains, each with their specific models. Syste...

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Main Authors: Alfred P. Defonzo, Anthony P. Hopf
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2012-08-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/HCT562CE.pdf
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spelling doaj-92acc71bf0774cdab2474ac2988dd6502020-11-24T22:46:16ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242012-08-011043035Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing SystemsAlfred P. Defonzo0Anthony P. Hopf1 University of Massachusetts University of Massachusetts Engineering Cyber-physical information gathering and utilizing systems(CIGUS) presents the systems engineer with a difficult, multi-criterion, multi-objective decision problem. Research, development and design is done over many disciplines, across many domains, each with their specific models. Systems engineers are expected to provide a common level of communication amongst the domains to promote convergence to a design. We present novel information measures that enable combination of the underlying domain specific subsystems parameters in a way that makes the information yield of the system intelligible to decision makers and domain experts. These measures enable, for the first time, the application of multi-objective evolutionary algorithms and end-to-end computer aided engineering of CIGUS. Our novel approach is validated and verified through the application and direct comparison of simulated and experimental results of state-ofthe- art weather radar network test bed designs. The approach resulted in Pareto optimal point within an average of 10% of the actual case study design parameters and within 25% of the Pareto ideal point. No additional parameters beyond the underlying domain parameters were introduced. This demonstrates that the computationally aided engineering approach presented in this work facilitates engineering feasibility decisions and the subsequent evolution of the engineered systems in way that reduces cost and effort.http://www.iiisci.org/Journal/CV$/sci/pdfs/HCT562CE.pdf OptimizationInformation Gathering And Utilizing SystemsMulti-Objective ProblemCyberphysicalNetwork Sensors
collection DOAJ
language English
format Article
sources DOAJ
author Alfred P. Defonzo
Anthony P. Hopf
spellingShingle Alfred P. Defonzo
Anthony P. Hopf
Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing Systems
Journal of Systemics, Cybernetics and Informatics
Optimization
Information Gathering And Utilizing Systems
Multi-Objective Problem
Cyberphysical
Network Sensors
author_facet Alfred P. Defonzo
Anthony P. Hopf
author_sort Alfred P. Defonzo
title Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing Systems
title_short Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing Systems
title_full Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing Systems
title_fullStr Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing Systems
title_full_unstemmed Computer Aided Engineering of Cyber-Physical Information Gathering and Utilizing Systems
title_sort computer aided engineering of cyber-physical information gathering and utilizing systems
publisher International Institute of Informatics and Cybernetics
series Journal of Systemics, Cybernetics and Informatics
issn 1690-4524
publishDate 2012-08-01
description Engineering Cyber-physical information gathering and utilizing systems(CIGUS) presents the systems engineer with a difficult, multi-criterion, multi-objective decision problem. Research, development and design is done over many disciplines, across many domains, each with their specific models. Systems engineers are expected to provide a common level of communication amongst the domains to promote convergence to a design. We present novel information measures that enable combination of the underlying domain specific subsystems parameters in a way that makes the information yield of the system intelligible to decision makers and domain experts. These measures enable, for the first time, the application of multi-objective evolutionary algorithms and end-to-end computer aided engineering of CIGUS. Our novel approach is validated and verified through the application and direct comparison of simulated and experimental results of state-ofthe- art weather radar network test bed designs. The approach resulted in Pareto optimal point within an average of 10% of the actual case study design parameters and within 25% of the Pareto ideal point. No additional parameters beyond the underlying domain parameters were introduced. This demonstrates that the computationally aided engineering approach presented in this work facilitates engineering feasibility decisions and the subsequent evolution of the engineered systems in way that reduces cost and effort.
topic Optimization
Information Gathering And Utilizing Systems
Multi-Objective Problem
Cyberphysical
Network Sensors
url http://www.iiisci.org/Journal/CV$/sci/pdfs/HCT562CE.pdf
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