Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/458961
Title: Decision support system framework for cyclone disaster mitigation on cloud environment an applied research
Researcher: Sasikala K
Guide(s): Thamaraiselvi S
Keywords: Cyclone Disaster
Cloud Environment
Cyclone Disaster Mitigation
University: Anna University
Completed Date: 2021
Abstract: This applied research examines, the Decision Support System Framework for Cyclone Disaster Mitigation on Cloud Environment , which will give the information/data to the decision makers at the time of cyclone disaster mitigation and management towards before/during/after the occurrence of cyclones in Indian coastal village houses. This applied research has been carried out under the RandD project of Cyclone Disaster Mitigation in the Wind Engineering Lab of CSIR-Structural Engineering Research Centre, Chennai. The cloud based Decision Support System (DSS) framework, uses Web as a portal to the underlying DSS. It lets interested/authorised users access and make use of the underlying DSS through the Web. Sample static and dynamic web pages have been developed as front-ends for the DSS. All the models are embedded/integrated into the framework of the DSS. This DSS framework has been proposed, developed, deployed and tested with sample data, which is capable of (1) Acquiring the real-time dataset from the Indian coastal village housing construction details, by using the existing four types of survey questionnaire forms IS: 15499 (2004) of CSIR-SERC, Chennai, India (2) Acquiring existing datasets from different experts and organizations through web (3) Mining data by using the cluster analysis algorithm for grouping the Indian coastal village housing types (Non-Engineering, Semi-Engineering, Engineering) and (4) Mining data by using the Association analysis algorithm to identify the similar construction methods and materials of Indian coastal village housing with similar level of damages. In future, the huge databases from corresponding modules will get stored on-premises private cloud setup and also these modules are to be connected to the private and public cloud resources with a hybrid cloud environment . newline
Pagination: xix,177p.
URI: http://hdl.handle.net/10603/458961
Appears in Departments:Faculty of Science and Humanities

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02_prelim pages.pdf1.36 MBAdobe PDFView/Open
03_content.pdf223.16 kBAdobe PDFView/Open
04_abstract.pdf113.21 kBAdobe PDFView/Open
05_chapter 1.pdf1.19 MBAdobe PDFView/Open
06_chapter 2.pdf1.44 MBAdobe PDFView/Open
07_chapter 3.pdf2.97 MBAdobe PDFView/Open
08_chapter 4.pdf2.09 MBAdobe PDFView/Open
09_chapter 5.pdf1.58 MBAdobe PDFView/Open
10_chapter 6.pdf2.32 MBAdobe PDFView/Open
11_chapter 7.pdf454.89 kBAdobe PDFView/Open
12_annexure.pdf152.39 kBAdobe PDFView/Open
80_recommendation.pdf81.04 kBAdobe PDFView/Open
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