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논문검색

Risk Classification of Vessel Navigation System using Correlation Weight of Marine Environment

원문정보

해양 환경 요소 상관관계 가중치를 이용한 선박 항행 시스템의 위험도 분류

Byoung Ho Song, Sang Hyun Bae

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초록

영어

Various algorithms and system development are being required to support the advanced decision making of navigation information support system because of a serious loss of lives and property accidents by officer's error like as carelessness and decision faults. Much of researchers have introduced the techniques about the systems, but they hardly consider environmental factors. In this paper, We collect the context information in order to assess the risk, which is considered the various factor of the sailing ship, then extract the features of knowledge context, which is to apply the weight of correlation coefficients among data in context information. We decide the risk after the extract features through the classification and prediction of context information, and compare the value accuracy of proposed method in order to compare efficiency of the weighted value with the non-weighted value. As a result of experience, we know that the method of weight properties effectively reflect the marine environment because the weight accurate better than the non-weighted.

목차

Abstract
 1. 서론
 2. 관련 연구
  2.1. 해양 환경 요소 상관관계
  2.2. Knn 알고리즘
 3. 시스템 구성 및 설계
  3.1. 해양 환경 요소 데이터
  3.2. 선체 위험 상황 데이터
  3.3. 상관계수 가중치
  3.4. Knn 알고리즘을 이용한 위험도 분류
  3.5. 인공 신경망 모형
 4. 실험 및 구현 결과
 5. 결론
 참고문헌

저자정보

  • Byoung Ho Song 송병호. 조선대학교
  • Sang Hyun Bae 배상현. 조선대학교

참고문헌

자료제공 : 네이버학술정보

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