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A Design and Implementation Vessel USN Middleware of Server-Side Method based on Context Aware  

Song, Byoung-Ho (Computer Science & Statistics, Choson University)
Song, Iick-Ho (Dept. of Electrical Engineering, KAIST)
Kim, Jong-Hwa (Dept. of Computer Engineering, Mokpo National University)
Lee, Seong-Ro (Dept. of Information & Electronics, Mokpo National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.2, 2011 , pp. 116-124 More about this Journal
Abstract
In this paper, We implemented vessel USN middleware by server-side method considering characteristics of ocean environment. We designed multiple query process module in order to efficient process multidimensional sensor stream data and proposed optimized query plan using Mjoin query and hash table. This paper proposed method that context aware of vessel and manage considering characteristics of ocean. We decided to risk context using SVM algorithm in context awareness management module. As a result, we obtained about 87.5% average accuracy for fire case and about 85.1% average accuracy for vessel risk case by input 5,000 data sets and implemented vessel USN monitoring system.
Keywords
vessel USN; context aware; SVM; Stream data; query plan;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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