5 January 2017 Preliminary research on organics recognition by x-ray absorption spectroscopy detection and classification
Author Affiliations +
Proceedings Volume 10244, International Conference on Optoelectronics and Microelectronics Technology and Application; 102440L (2017) https://doi.org/10.1117/12.2261804
Event: International Conference on Optoelectronics and Microelectronics Technology and Application, 2016, Shanghai, China
Abstract
X-ray Absorption Spectroscopy (XAS) was been applied for the material recognition in this paper. Twelve kinds of plastics were selected as specimens. Each specimen was tested for 100 times by different operators for data processing. Seventy sets of spectral data of each specimen were randomly selected as training set and the other 30 sets were selected as testing set. Training set was calculated with Principal Component Analysis (PCA) to get the first four Principal Components, which totally explain 99% of the original spectrum. The first four Principal Components were built plastic classification model respectively through K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) methods. The classification accuracy reached 89.22%-98.17%. Experimental results demonstrate that organics could be recognized by XAS. It shows that the X-ray absorption spectroscopy contains the potential of other organics recognition or even organisms.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian Wang, Qian Wang, Xiaomei Wu, Xiaomei Wu, Wei Zhang, Wei Zhang, Shuting He, Shuting He, Haifeng Feng, Haifeng Feng, Zheng Fang, Zheng Fang, } "Preliminary research on organics recognition by x-ray absorption spectroscopy detection and classification", Proc. SPIE 10244, International Conference on Optoelectronics and Microelectronics Technology and Application, 102440L (5 January 2017); doi: 10.1117/12.2261804; https://doi.org/10.1117/12.2261804
PROCEEDINGS
7 PAGES


SHARE
Back to Top