KD-ACP: A Software Framework for Social Computing in Emergency Management

This paper addresses the application of a computational theory and related techniques for studying emergency management in social computing. We propose a novel software framework called KD-ACP. The framework provides a systematic and automatic platform for scientists to study the emergency managemen...

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Main Authors: Bin Chen, Laobing Zhang, Gang Guo, Xiaogang Qiu
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/915429
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spelling doaj-3b9b67b6031a44848d73c75285f829eb2020-11-24T23:19:48ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/915429915429KD-ACP: A Software Framework for Social Computing in Emergency ManagementBin Chen0Laobing Zhang1Gang Guo2Xiaogang Qiu3Research Center of Computational Experiments and Parallel System Technology, College of Information System and Management, National University of Defense Technology, Changsha 410073, ChinaResearch Center of Computational Experiments and Parallel System Technology, College of Information System and Management, National University of Defense Technology, Changsha 410073, ChinaResearch Center of Computational Experiments and Parallel System Technology, College of Information System and Management, National University of Defense Technology, Changsha 410073, ChinaResearch Center of Computational Experiments and Parallel System Technology, College of Information System and Management, National University of Defense Technology, Changsha 410073, ChinaThis paper addresses the application of a computational theory and related techniques for studying emergency management in social computing. We propose a novel software framework called KD-ACP. The framework provides a systematic and automatic platform for scientists to study the emergency management problems in three aspects: modelling the society in emergency scenario as the artificial society; investigating the emergency management problems by the repeat computational experiments; parallel execution between artificial society and the actual society managed by the decisions from computational experiments. The software framework is composed of a series of tools. These tools are categorized into three parts corresponding to “A,” “C,” and “P,” respectively. Using H1N1 epidemic in Beijing city as the case study, the modelling and data generating of Beijing city, experiments with settings of H1N1, and intervention measures and parallel execution by situation tool are implemented by KD-ACP. The results output by the software framework shows that the emergency response decisions can be tested to find a more optimal one through the computational experiments. In the end, the advantages of the KD-ACP and the future work are summarized in the conclusion.http://dx.doi.org/10.1155/2015/915429
collection DOAJ
language English
format Article
sources DOAJ
author Bin Chen
Laobing Zhang
Gang Guo
Xiaogang Qiu
spellingShingle Bin Chen
Laobing Zhang
Gang Guo
Xiaogang Qiu
KD-ACP: A Software Framework for Social Computing in Emergency Management
Mathematical Problems in Engineering
author_facet Bin Chen
Laobing Zhang
Gang Guo
Xiaogang Qiu
author_sort Bin Chen
title KD-ACP: A Software Framework for Social Computing in Emergency Management
title_short KD-ACP: A Software Framework for Social Computing in Emergency Management
title_full KD-ACP: A Software Framework for Social Computing in Emergency Management
title_fullStr KD-ACP: A Software Framework for Social Computing in Emergency Management
title_full_unstemmed KD-ACP: A Software Framework for Social Computing in Emergency Management
title_sort kd-acp: a software framework for social computing in emergency management
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description This paper addresses the application of a computational theory and related techniques for studying emergency management in social computing. We propose a novel software framework called KD-ACP. The framework provides a systematic and automatic platform for scientists to study the emergency management problems in three aspects: modelling the society in emergency scenario as the artificial society; investigating the emergency management problems by the repeat computational experiments; parallel execution between artificial society and the actual society managed by the decisions from computational experiments. The software framework is composed of a series of tools. These tools are categorized into three parts corresponding to “A,” “C,” and “P,” respectively. Using H1N1 epidemic in Beijing city as the case study, the modelling and data generating of Beijing city, experiments with settings of H1N1, and intervention measures and parallel execution by situation tool are implemented by KD-ACP. The results output by the software framework shows that the emergency response decisions can be tested to find a more optimal one through the computational experiments. In the end, the advantages of the KD-ACP and the future work are summarized in the conclusion.
url http://dx.doi.org/10.1155/2015/915429
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AT laobingzhang kdacpasoftwareframeworkforsocialcomputinginemergencymanagement
AT gangguo kdacpasoftwareframeworkforsocialcomputinginemergencymanagement
AT xiaogangqiu kdacpasoftwareframeworkforsocialcomputinginemergencymanagement
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