층화추출법에 의한 해양기상환경의 표본추출 타당성 연구
Feasibility Study on Sampling Ocean Meteorological Data using Stratified Method
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조회
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다운로드
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참고문헌
키워드
초록
The infrared signature of a ship is largely influenced by the ocean environment of the operating area, which has been known tocause large changes in the signature. As a result, the weather condition has to be clearly set for an analysis of the infrared signatures. It isnecessary to analyze meteorological data for all the oceans where the ship is supposed to be operated. This is impossibly costly and time consumingbecause of the huge size of the data. Therefore, the creation of a standard environmental variable for an infrared signature research is necessary. Inthis study, we compared and analyzed sampling methods to represent ocean data close to the Korean peninsula. In order to perform this research,we collected ocean meteorological records from KMA (Korea Meteorological Administration), and sampled these in numerous ways considering fivevariables that are known to affect the infrared signature. Specifically, a simple random sampling method for all the data and 1-D, 2-D, and 3-Dstratified sampling methods were compared and analyzed by considering the mean square errors for each method.
Abstract
The infrared signature of a ship is largely influenced by the ocean environment of the operating area, which has been known tocause large changes in the signature. As a result, the weather condition has to be clearly set for an analysis of the infrared signatures. It isnecessary to analyze meteorological data for all the oceans where the ship is supposed to be operated. This is impossibly costly and time consumingbecause of the huge size of the data. Therefore, the creation of a standard environmental variable for an infrared signature research is necessary. Inthis study, we compared and analyzed sampling methods to represent ocean data close to the Korean peninsula. In order to perform this research,we collected ocean meteorological records from KMA (Korea Meteorological Administration), and sampled these in numerous ways considering fivevariables that are known to affect the infrared signature. Specifically, a simple random sampling method for all the data and 1-D, 2-D, and 3-Dstratified sampling methods were compared and analyzed by considering the mean square errors for each method.
참고문헌 (7)
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- Climatic data analysis for input to ShipIR, "David, A.V", SPIE Defence, Security, and Sensing, ~ (2013)
- Jeon, C.H, "Applied Statistics for Engineers. Hong-Reung", Hong-Reung, ~ (2012)
- Kim, W.C, "General Statistics" (2006), YoungJiMunhwa
- 김윤식, "함정 표면 적외선 신호에 대한 해양기상 영향분석", 대한조선학회 논문집, 49(3), pp.264~272 (2012), 대한조선학회[DOI]
- Lee, H.Y, "Sampling Survey Introduction" (2002), Kyowoosa
- Son, B.Y, "Probability and Statistics", Hantimedia, ~ (2011)