선박운항 시뮬레이터 실험조건 축소화 연구

• 영문명: Reduction of Simulation Number for Ship Handling Safety Assessment
• 발행기관: 한국산업경영시스템학회
• 저자명: 권세혁(S. H. Kwon) 오현승(H. S. Oh)
• 간행물 정보: 『산업경영시스템학회지』제35권 제1호, 101~106쪽, 전체 6쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2012.03.31

영문 초록

Ship handling simulator is a virtual ship navigating system with three dimensional screen system and simulation programs. FTS simulation can produce theoretically infinite experiment tests without time constraint, but which results in collecting determinstic observations. RTS simulation can collect statistical observations but has disadvantage of spending at least 30 minutes for a single experiment. The previous studies suggested that the number of experiment conditions to be tested could be reduced to obtain random data with RTS simulation by focusing on highly difficult experiment condition for ship handling. It has the limitation of not estimating the distribution of ship handling difficulty for the route. In this paper, similarity and clustering analysis are suggested for reduction methodology of experiment conditions. Similarity of experiment conditions are measured as follows: euclidean distance of ship handling difficulty index and correlation matrix of distance differences from the designed route. Clustering analysis and multi-dimensional scaling are applied to classify experiment conditions with measured similarity into reducing the number of RTS simulation conditions. An empirical result on Dangin harbor is shown and discussed.

목차

1. 서론

2. 실험조건 군집화

3. 실증분석

4. 결론

참고문헌

키워드

Simulator Ship Handling Difficulty Cluster Analysis Multi-dimensional Scaling