학술논문

Data Mining from Near-infrared Spectra of Plastics by 1/f Fluctuation(2)— The Case of Flat Spectra of Dark Colored Plastics — / 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(2)—反射強度が極端に平板な暗色プラスチックの近赤外反射スペクトル—
Document Type
Journal Article
Source
Journal of Chemical Software. 1999, 5(3):103
Subject
1/f fluctuation
Data mining
FFT
Near-infrared spectrum
Plastic waste
Language
Japanese
ISSN
0918-0761
1883-8359
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, five black colored 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.