Case based reasoning system based risk context awareness in the digital marine vessels

Author

Song, Byoung-Ho ; Song, Iick-Ho ; Shin, Jun Woo ; Jung, Min-A ; Lee, Seong-Ro

Author_Institution

Inst. of Inf. Sci. & Eng. Res., Mokpo Nat. Univ., Mokpo, South Korea

fYear

2010

fDate

17-19 Nov. 2010

Firstpage

443

Lastpage

447

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 damage risk 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 damage risk context case base. As a result, we obtained about 82.5% average accuracy for fire risk case and about 80.1% average accuracy for damage risk case. We implemented digital marine vessel monitoring system using reasoning result.

Keywords

case-based reasoning; decision making; marine engineering; marine vehicles; monitoring; pattern recognition; risk management; ubiquitous computing; wireless sensor networks; case based reasoning system; damage risk; digital marine vessel monitoring system; fire risk; inference system; intelligent decision making algorithm; k-nearest neighbor algorithm; risk context awareness; vessel USN system; Cognition; Databases; Electrical resistance measurement; Fires; Sea measurements; Temperature sensors; Case Based Reasoning; Context aware; Digital Marine Vessel; Expert System; USN;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology Convergence (ICTC), 2010 International Conference on

Conference_Location

Jeju

Print_ISBN

978-1-4244-9806-2

Type

conf

DOI

10.1109/ICTC.2010.5674804

Filename

5674804