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A Design and Implement Vessel USN Risk Context Aware System using Case Based Reasoning  

Song, Byoung-Ho (Institute of Information Science and Engineering Research, Mokpo National University)
Lee, Seong-Ro (Dept. of Information & Electronics, Mokpo National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.47, no.3, 2010 , pp. 42-50 More about this Journal
Abstract
It is necessary to implementation of system contain intelligent decision making algorithm considering marine feature because existing vessel USN system is simply monitoring obtained data from vessel USN. In this paper, we designed inference system using case based reasoning method and implemented knowledge base that case for fire and demage of digital marine vessel. We used K-Nearest Neighbor algorithm for recommend best similar case and input 3.000 EA by case for fire and demage context case base. As a result, we obtained about 82.5% average accuracy for fire case and about 80.1% average accuracy for demage case. We implemented digital marine vessel monitoring system using inference result.
Keywords
Case Based Reasoning; Expert System; USN; Digital Marine Vessel; Context aware;
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Times Cited By KSCI : 2  (Citation Analysis)
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