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실선에 의한 표류 예측모델에 관한 연구 KCI 등재

Study o f e stimated m odel o f d rift t hrough r eal s hip

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수산해양기술연구 (Journal of the Korean Society of Fisheries and Ocean Technology)
한국수산해양기술학회(구 한국어업기술학회) (The Korean Society of Fisheriers and Ocean Technology)
초록

In order to present a predictive drift model, Jeju National University's training ship was tested for about 11 hours and 40 minutes, and 81 samples that selected one of the entire samples at ten-minute intervals were subjected to regression analysis after verifying outliers and influence points. In the outlier and influence point analysis, although there is a part where the wind direction exceeds 1 in the DFBETAS (difference in Betas) value, the CV (cumulative variable) value is 6%, close to 1. Therefore, it was judged that there would be no problem in conducting multiple regression analyses on samples. The standard regression coefficient showed how much current and wind affect the dependent variable. It showed that current speed and direction were the most important variables for drift speed and direction, with values of 47.1% and 58.1%, respectively. The analysis showed that the statistical values indicated the fit of the model at the significance level of 0.05 for multiple regression analysis. The multiple correlation coefficients indicating the degree of influence on the dependent variable were 83.2% and 89.0%, respectively. The determination of coefficients were 69.3% and 79.3%, and the adjusted determination of coefficients were 67.6% and 78.3%, respectively. In this study, a more quantitative prediction model will be presented because it is performed after identifying outliers and influence points of sample data before multiple regression analysis. Therefore, many studies will be active in the future by combining them.

목차
서 론
재료 및 방법
    다중회귀모형
    이상치 및 영향치
    연구재료
결과 및 고찰
    이상치 및 영향점 분석
    다중회귀모형 분석
결 론
사 사
References
저자
  • 이창헌(제주대학교 해양과학대학 교수) | Chang-Heon LEE (Professor, College of Ocean Sciences, Jeju National University, Jeju 63243, Korea)
  • 김광일(제주대학교 해양과학대학 교수) | Kwang-Il KIM (Professor, College of Ocean Sciences, Jeju National University, Jeju 63243, Korea)
  • 유상록((주)미래해양정보기술 기업부설연구소 연구소장) | Sang-Lok YOO (Director, Research Institute, Future Ocean Information Technology, Inc., Jeju 63243, Korea)
  • 김민선(국립군산대학교 해양생산시스템전공 교수) | Min-Son KIM (Professor, Marine Production System Major, Kunsan National University, Jeonbuk 54150, Korea)
  • 한승훈(경상국립대학교 기계시스템공학과 교수) | Seung-Hun HAN (Professor, Mechanical System Engineering, Gyeongsang National University, Gyeongnam 53064, Korea) Corresponding author