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http://dx.doi.org/10.9723/jksiis.2018.23.2.019

A Study on the Sampling of Ocean Meteorological Data to Analyze Signature of Naval Ships  

Cho, Yong-Jin (동의대학교 조선해양공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.23, no.2, 2018 , pp. 19-28 More about this Journal
Abstract
In this paper, we studied on the sampling of ocean meteorological data to analyze signature of naval ships. The newest ocean meteorological data, that was quality controled by the Korea Meteorological Administration(KMA), was collected. Outliers were removed from the data by setting the usable range of data. After that, the data size was reduced through the random sampling method, taking geopolitical significance and effective area of buoy, for probabilistic analysis. Moreover, the sample sizes were set at 100, 200, and 400 by considering the population size and a 95% confidence level. The final sample was obtained using the two-dimensional stratified sampling method based on highly correlated water temperature and air temperature. The sum of the squared errors and the confidence interval was calculated to compare the result of sampling. As a result, this study proposed reasonable sample size for infra­red signature analysis of naval ships.
Keywords
Data Reduction; Infra­ Red Signature; Naval Ships; Ocean Climate Data; Stratified Sampling Method;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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