Geoinformatics
Online ISSN : 1347-541X
Print ISSN : 0388-502X
ISSN-L : 0388-502X
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Volume 18, Issue 2
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SHORT ARTICLE
  • DETECTION OF DUPULICATE INFORMATION IN A LARGE SOIL DRILLING LOG DATABASE
    Hideyasu ASAHI, Kunio KAWAUCHI, Toshikazu KUROSHIMA, Mitihiro OOTA, Sh ...
    2007 Volume 18 Issue 2 Pages 55-59
    Published: 2007
    Released on J-STAGE: March 23, 2010
    DOIhttps://doi.org/10.6010/geoinformatics.18.55
    JOURNAL FREE ACCESS
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    Duplicate information is often found in soil drilling log databases. In this paper, we propose a method to detect this duplicated information in order to compile a reliable database. The detections are determined by the following method: 1) Each soil name in the soil log is assigned a specific number. 2) This numerized log is then transformed to the spectra of Walsh-Hadamard function. 3) Subsequently, a small number of spectra (approximately 4 or 5) are sorted using a computer spreadsheet program such as Lotus 123 or MS Excel. 4) From the spreadsheets, duplicated drilling logs can be readily identified.
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