A requirement model of an adaptive emergency evacuation center management
One of natural disasters that pose a rising danger and has highest percentage of occurrences is flood. Previous studies on flood disaster have provided solutions to deal with this situation. However, they do not consider a scenario where evacuation centers are drowned due to heavy flood and these s...
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my.uum.etd.61672021-04-05T02:30:52Z http://etd.uum.edu.my/6167/ A requirement model of an adaptive emergency evacuation center management Hanif, , HV Social Pathology. Social and Public Welfare One of natural disasters that pose a rising danger and has highest percentage of occurrences is flood. Previous studies on flood disaster have provided solutions to deal with this situation. However, they do not consider a scenario where evacuation centers are drowned due to heavy flood and these studies do not provide any requirement models which can be used as reference guides to build similar systems. This study proposes a requirement model for a decision aid model for evacuation center management which is capable of providing smart solutions for relocation of victims to other evacuation centers when they were almost drowned. The methodology used in this study consists of five phases: requirement gathering, conceptual design, development, verification, and preparing thesis & articles for publication. This study has produced a requirement model of the proposed system that consists of a use case diagram, use case specifications, class diagrams, and sequence diagrams, which has been reviewed by the experts by using inspection method. The prototype has been evaluated through a functional testing. The proposed requirement model can be used as a reference model for developers in producing similar evacuation center management system. 2016 Thesis NonPeerReviewed text en /6167/1/s818344_01.pdf text en /6167/2/s818344_02.pdf Hanif, , (2016) A requirement model of an adaptive emergency evacuation center management. Masters thesis, Universiti Utara Malaysia. |
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HV Social Pathology. Social and Public Welfare Hanif, , A requirement model of an adaptive emergency evacuation center management |
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One of natural disasters that pose a rising danger and has highest percentage of occurrences is flood. Previous studies on flood disaster have provided solutions to deal with this situation. However, they do not consider a scenario where evacuation
centers are drowned due to heavy flood and these studies do not provide any requirement models which can be used as reference guides to build similar systems. This study proposes a requirement model for a decision aid model for evacuation center management which is capable of providing smart solutions for relocation of victims to other evacuation centers when they were almost drowned. The methodology used in this study consists of five phases: requirement gathering, conceptual design, development, verification, and preparing thesis & articles for publication. This study has produced a requirement model of the proposed system that consists of a use case diagram, use case specifications, class diagrams, and sequence diagrams, which has been reviewed by the experts by using inspection method. The prototype has been evaluated through a functional testing. The
proposed requirement model can be used as a reference model for developers in producing similar evacuation center management system. |
format |
Thesis |
author |
Hanif, , |
author_facet |
Hanif, , |
author_sort |
Hanif, , |
title |
A requirement model of an adaptive emergency evacuation center management |
title_short |
A requirement model of an adaptive emergency evacuation center management |
title_full |
A requirement model of an adaptive emergency evacuation center management |
title_fullStr |
A requirement model of an adaptive emergency evacuation center management |
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A requirement model of an adaptive emergency evacuation center management |
title_sort |
requirement model of an adaptive emergency evacuation center management |
publishDate |
2016 |
url |
http://etd.uum.edu.my/6167/ |
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1696978311681409024 |
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13.209306 |