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Principal Component Analysis on Marine Casualties Occurred at Korean Littoral Sea in Recent 5 Years
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 Title & Authors
Principal Component Analysis on Marine Casualties Occurred at Korean Littoral Sea in Recent 5 Years
KIM, Yeong-Sik;
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Principal Component Analysis (PCA) is useful statistical technique for finding patterns in data, and expressing the data in such a way as to highlight their similarities and differences. In this paper, 1417 marine casualties occurred in Korean littoral sea in recent 5 years, were examined by the PCA. The main results obtained were as follows : 1. Most of marine casualties resulted from the human factors such as careless operation and insufficient engine maintenance. 2. Collision and standing mainly resulted from steering room-related human factors such as careless guard, inadequate ship-handling, however engine damage and fire explosion mainly resulted from engine room-related human factor such as bad handling of engine system. 3. No. 1 principal component represents accident frequency, No. 2 principal component represents the cause and No. 3 principal component represents the pattern of marine casualties, respectively.
Principal component analysis (PCA);Marine casualties;Correlation matrix;Proportion;Factor loading;
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선박 침수사고를 대비한 비상용 배수시스템 용량추정 프로세스에 관한 연구,박병수;김성수;이순섭;강동훈;조현국;

수산해양교육연구, 2016. vol.28. 6, pp.1739-1750 crossref(new window)
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