スペクトル揺らぎを利用したプラスチックの近赤外反射スペクトルの特徴抽出

小野寺 光永; 長嶋 雲兵; 加藤 澄恵; 細矢 治夫; 後藤 成志; 天野 敏男; 田辺 和俊; 上坂 博亨

doi:10.2477/jchemsoft.5.93

Data Mining from Near-infrared Spectra of Plastics by 1/f Fluctuation

Mitsue ONODERA, Umpei NAGASHIMA, Sumie KATO, Haruo HOSOYA, Narushi GOTO, Toshio AMANO, Kazutoshi TANABE, Hiroyuki UESAKA

Author information

Mitsue ONODERA
Department of Information Sciences, Ochanomizu Univ. 2-1-1 Otsuka, Bunkyo-ku, Tokyo 112-8610, Japan.
Umpei NAGASHIMA
National Institute of Materials and Chemical Research, MITI 1-1 Azuma, Tsukuba 305-8565, Japan.
Sumie KATO
Graduate School of Humanities and Sciences, Ochanomizu Univ. 2-1-1 Otsuka, Bunkyo-ku, Tokyo 112-8610, Japan.
Haruo HOSOYA
Department of Information Sciences, Ochanomizu Univ. 2-1-1 Otsuka, Bunkyo-ku, Tokyo 112-8610, Japan.
Narushi GOTO
Molecular Simulation Inc. 2-17-8 Hamacho, Nihonbashi, Chuo-ku, Tokyo 103-0007, Japan.
Toshio AMANO
Opt Research Inc. 3-1-6 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.
Kazutoshi TANABE
National Institute of Materials and Chemical Research, MITI 1-1 Azuma, Tsukuba 305-8565, Japan.
Hiroyuki UESAKA
Fujitsu Ltd. Takezono, Tsukuba 305-0032, Japan.

Keywords: FFT, Plastic waste, Near-infrared spectrum, Data mining, 1/f fluctuation

JOURNAL FREE ACCESS

1999 Volume 5 Issue 3 Pages 93-102

DOI https://doi.org/10.2477/jchemsoft.5.93

Details

Abstract

A rapid and intact method was developed for discriminating plastics tips by the analysis of 1/f fluctuation of near-infrared reflection spectra. First, the regression lines of the power spectrum of a given sample are obtained after middle pass filtering with FFT. Then the data point of the cross section and slope of the obtained regression line are plotted. According to our test measurement, eighteen samples were clearly classified into five groups of different chemical compositions. This novel method was found to be useful for recycling plastics waste efficiently and with reasonable accuracy.

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