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INTELLIGENT SECURITY SYSTEMS ENGINEERING FOR MODELING FIRE CRITICAL INCIDENTS: TOWARDS SUSTAINABLE SECURITY
作者单位:Ali ASGARY(Emergency Management, York University, Toronto, Ontario, Canada and Faculty of Geography, University of Tehran, Tehran, Iran);Ali SADEGHI NAINI(Department of Electrical and Computer Engineering, University of Western Ontario, London, Ontario, Canada);Jason LEVY(Homeland Security and Emergency Preparedness,Virginia Commonwealth University, Richmond, VA, USA) 
摘    要:

关 键 词:安全系统工程  可持续安全  智能安防系统  火灾  临界事故  BP神经网络模型  智能安全系统  模拟

Intelligent security systems engineering for modeling fire critical incidents: Towards sustainable security
Ali Asgary,Ali Sadeghi Naini,Jason Levy. Intelligent security systems engineering for modeling fire critical incidents: Towards sustainable security[J]. Journal of Systems Science and Systems Engineering, 2009, 18(4): 477-488. DOI: 10.1007/s11518-009-5121-2
Authors:Ali Asgary  Ali Sadeghi Naini  Jason Levy
Affiliation:1. Emergency Management, York University, Toronto, Ontario, Canada and Faculty of Geography, University of Tehran, Tehran, Iran
2. Department of Electrical and Computer Engineering, University of Western Ontario, London, Ontario, Canada
3. Homeland Security and Emergency Preparedness,Virginia Commonwealth University, Richmond, VA, USA
Abstract:An intelligent security systems engineering approach is used to analyze fire and explosive critical incidents, a growing concern in urban communities. A feed-forward back-propagation neural network models the damages arising from these critical incidents. The overall goal is to promote fire safety and sustainable security. The intelligent security systems engineering prediction model uses a fully connected multilayer neural network and considers a number of factors related to the fire or explosive incident including the type of property affected, the time of day, and the ignition source. The network was trained on a large number of critical incident records reported in Toronto, Canada between 2000 and 2006. Our intelligent security systems engineering approach can help emergency responders by improving critical incident analysis, sustainable security, and fire risk management.
Keywords:Intelligent security  systems engineering  fore  feed-forward neural networks  critical incidents
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