標題: An intelligent slope disaster prediction and monitoring system based on WSN and ANP
作者: Wu, Che-I
Kung, Hsu-Yang
Chen, Chi-Hua
Kuo, Li-Chia
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Wireless Sensor Networks;Analytic Network Process;Disaster prediction model;Portrait-based Disaster Alerting System
公開日期: 1-八月-2014
摘要: Taiwan generally has large-scale landslides and torrential rainfall during the typhoon season. As Wireless Sensor Networks (WSN) and mobile communication technologies advance rapidly, state-of-the-art technologies are adopted to build a model to reliably predict and monitor disasters, as well as accumulate environmental variation-related information. By integrating WSN and Analytic Network Process (ANP), this study evaluates the weight of disaster factors that adopt the consistency index of pair comparisons on hillslopes. The weight estimation and classification of disaster factors are based on the K-means model to build the hillslope prediction model. The Portrait-based Disaster Alerting System (PDAS) is designed and implemented using the proposed disaster prediction model. The PDAS adopts Web-GIS to visualize the environmental information. Evaluation results of the system indicate that the proposed prediction model achieves more accurate disaster determination than the conventional method. (C) 2014 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2013.12.049
http://hdl.handle.net/11536/24385
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2013.12.049
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 41
Issue: 10
起始頁: 4554
結束頁: 4562
顯示於類別:期刊論文


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  1. 000335629500005.pdf