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Author: search.filters.author.Krairiksh, M.Subject: search.filters.subject.Cauchy method

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    Application of the natural frequency estimation technique for mangosteen classification
    (2014-12-18)
    Leekul, P.
    ;
    Krairiksh, M.
    ;
    Sarkar, Tapan K.
    The problem of identifying unripe fruits using a non-destructive evaluation methodology is of great interest. In this paper the natural frequency estimation methodology described by the singularity expansion method (SEM) is used to evaluate the state of maturity of the mangosteen fruit using a non-destructive classification technique. The methodology is based on a RADAR identification technique based on the scattered field data is used to accomplish this goal. The classification is carried out using the SEM poles computed using the Cauchy method using the scattered field data for a mangosteen as it matures. Then, a pole library is constructed and is used in a classification scheme.
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    Experimental study using natural frequencies for fruit identification
    (2013-12-01)
    Tantisopharak, T.
    ;
    Krairiksh, M.
    ;
    Sarkar, T. K.
    This paper presents the experimental study for characterization of the ripening state of a fruit. The identification can be performed by comparing the libraries of natural poles, which can be extracted from its scattering response of the fruit. This experiment measures scattering responses from composite dielectric objects, and then applies the Cauchy method to extract the poles from the responses. Libraries of poles are catalogued to validate the identification System.