Intelligent and Situation-Aware Pervasive System to Support Debris-Flow Disaster Prediction and Alerting in Taiwan

in Sciences Citation Index(SCI), 科學引文索引資料庫(SCI)
標題Intelligent and Situation-Aware Pervasive System to Support Debris-Flow Disaster Prediction and Alerting in Taiwan
出版類型SCI(Sciences Citation Index)
出版年度2008
AuthorsHsu-Yang Kung, 龔旭陽, Hao-Hsiang Ku 顧皓翔, Che-I Wu 吳哲一, & Ching-Yu Lin 林靖祐
開始頁1
頁數17
出版日期2008 / 1
其他編號NSC-93-2625-Z-020-004
中文摘要

Effective information transmission through robust communications is critical to prevent and alert for natural disasters. However, disasters always destroy the wired communication environment.
Moreover, effective information needs to reveal the real situations of the disaster, e.g., the accurate position and the real-time image/video of accident events. An accurate disaster prediction model is useful to reduce casualties and prevent disasters from occurring. An effective disaster prediction is based on the accurate disaster decision model, which can be achieved through the situation-aware information communications between the disaster area and the rescue-control center. This study proposes and designs an Intelligent and Situation-Aware Pervasive System (ISPS), which successfully alert people the occurrence of debris-flow disasters. ISPS is a three-tier architecture consisting of mobile appliances, intelligent situation-aware agents (ISA) and a decision support server based on the wireless/mobile Internet communications. Furthermore, the Location-aware Routing Prediction Method (LRPM) was developed to decrease the transmission traffic and latency of pictures pushing the maps of the disaster to mobile clients. Based on the database of the pre-analyzed 181 potential debris flows in Taiwan, accurate debris flow prediction models were built to prevent debris flow using case-based reasoning (CBR) in the decision support server.

期刊名稱Journal of Network and Computer Applications
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