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Patent Searching and Data


Title:
OCEAN METEOROLOGICAL DATA SAMPLING METHOD PERFORMED BY COMPUTER
Document Type and Number:
WIPO Patent Application WO/2016/175342
Kind Code:
A2
Abstract:
The present invention relates to an ocean meteorological data sampling method performed by a computer, and the purpose of the present invention is to provide an ocean meteorological data sampling method on the basis of a new concept, wherein meteorological condition data sampled for the analysis of a physical phenomenon having characteristics sensitive to a meteorological environment, including the infrared signature analysis of a ship, can be as close to statistical distribution characteristics possessed by a population (ocean meteorological observation data) as possible, and the correlations between ocean meteorological variables can be reflected in the meteorological condition data. The present invention provides an ocean meteorological data sampling method performed by a computer, comprising the steps of: obtaining a cumulative distribution function for each of meteorological variables constituting a population, including atmospheric temperature, water temperature, relative humidity, wind speed, and wind direction, and dividing the cumulative distribution function into as many slots as the number of data to be sampled; obtaining the probabilities of occurrence of the associated meteorological variables having correlations therebetween, using a principal component analysis method, and assigning a higher sampling priority to data having a lower probability of occurrence; and dividing blocks between the meteorological variables and sampling data for each block according to the priority.

Inventors:
KIM YOON SIK (KR)
KIM KWANG SOO (KR)
Application Number:
PCT/KR2015/004194
Publication Date:
November 03, 2016
Filing Date:
April 27, 2015
Export Citation:
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Assignee:
KOREA INST OCEAN SCI & TECH (KR)
International Classes:
G06F17/16; G01W1/02; G01W1/10; G06F15/18; G06F19/00
Attorney, Agent or Firm:
DONGCHEON PATENT FIRM (KR)
특허법인 동천 (KR)
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