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A Design and Implementation of Digital Vessel Context Diagnosis System Based on Context Aware  

Song, Byoung-Ho (목포대학교 중점연구소)
Choi, Myeong-Soo (목포대학교 중점연구소)
Kwon, Jang-Woo (경원대학교 컴퓨터공학과)
Lee, Sung-Ro (목포대학교 정보전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.6B, 2010 , pp. 859-866 More about this Journal
Abstract
Digital vessels can occur large a disaster at sea because vessels in fire and collision in case of certain unforeseen circumstances. In this paper, We propose digital vessel context monitoring system through risk analysis. We propose environment information analysis system using wireless sensor that have to acquire marine environment and context of marine digital vessel. For conducting simulation, we chose 300 data sets to train the neural network. As a result, we obtained about 96% accuracy for fire risk context and we obtained 88.7% accuracy for body of vessel risk context. To improve the accuracy of the system, we implement a FEC (Forward Error Correction) block. We implemented digital vessel context monitoring system that transmitted to diagnosis result in CDMA.
Keywords
Context aware; USN; Digital Vessel; Backpropagation Algorithm; LDPC;
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Times Cited By KSCI : 1  (Citation Analysis)
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