标题: | 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 资讯管理与财务金融系 注:原资管所+财金所 Department of Information Management and Finance |
关键字: | Wireless Sensor Networks;Analytic Network Process;Disaster prediction model;Portrait-based Disaster Alerting System |
公开日期: | 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 |
起始页: | 4554 |
结束页: | 4562 |
显示于类别: | Articles |
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