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TIAN Shisi, JIANG Hong, QI Henghui, WANG Yiduan, MAN Ji. X-ray fluorescence spectrum combined with power k-means to examine toner analysis[J]. LASER TECHNOLOGY, 2021, 45(4): 530-534. DOI: 10.7510/jgjs.issn.1001-3806.2021.04.019
Citation: TIAN Shisi, JIANG Hong, QI Henghui, WANG Yiduan, MAN Ji. X-ray fluorescence spectrum combined with power k-means to examine toner analysis[J]. LASER TECHNOLOGY, 2021, 45(4): 530-534. DOI: 10.7510/jgjs.issn.1001-3806.2021.04.019

X-ray fluorescence spectrum combined with power k-means to examine toner analysis

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  • Received Date: July 08, 2020
  • Revised Date: August 20, 2020
  • Published Date: July 24, 2021
  • In order to construct a model for identifying printing and copying toners, X-ray fluorescence spectroscopy was used for theoretical analysis and experimental verification. The experiment data was obtained through quantitatively analyzing of the element content of 28 common brands toner samples. According to the preliminary grouping based on the presence or absence of specific elements, improved power k-means algorithm was used to perform clustering analysis to divide samples into 7 groups. After the verification by the Pearson coefficient, the result was testified, and the samples were well distinguished. The samples within the group were significantly correlated at the level of 0.001.The experiment provides new ideas which is fast and easy for the identification of printing and copying toners in judicial practice.
  • [1]
    CHENG P. Research on the identification method of laser printer toner[D]. Beijing: School of International Relations, 2012: 2(in Chinese).
    [2]
    YU J, WANG X F, ZHANG A L, et al. Micro laser Raman spectroscopy inspection of printed files of laser printers[J]. Journal of Light Scattering, 2003, 15(2): 92-94(in Chinese).
    [3]
    CLAYBOURN M, ANSELL M. Using Raman spectroscopy to solve crime: Inks, questioned documents and fraud[J]. Science & Justice: Journal of the Forensic Science Society, 2000, 40(4): 261-271. http://www.ncbi.nlm.nih.gov/pubmed/11094823
    [4]
    LIANG L N, YANG A D, LIN L X. Laser Raman spectroscopy to recognize printed files from laser printers of different manufacturers[J]. Journal of Light Scattering, 2003, 15(2): 92-94(in Chinese)
    [5]
    SAGAR J T, BURGESS S R, McCARTHY C, et al. Elemental characterisation of sub 20nm structures in devices using new SEM-EDS technology[J]. Microelectronics Reliability, 2016, 64(7): 367-369. http://smartsearch.nstl.gov.cn/paper_detail.html?id=f21fa5024d700ef083ac1e28865a3c40
    [6]
    LIU M, SHEN S, WANG N. Visible-near infrared hyperspectral image technology for rapid identification of laser printing toner[J]. Chinese Journal of Luminescence, 2017, 38(5): 662-668(in Chinese). DOI: 10.3788/fgxb20173805.0662
    [7]
    YANG R Q, JIANG H, WANG Y Q, et al. Pyrolysis gas chromatography/mass spectrometry to check copy toner[J]. Chinese Journal of Chromatography, 2003, 21(3): 277-280(in Chinese)
    [8]
    HOU S H, BI M J. Analysis of heavy metal content in toner by EDXRF[J]. Office Informatization, 2012, 11(6): 51-52(in Chinese).
    [9]
    JASON X, KENNETH L. Power k-means clustering[C]//Proceedings of the 36th International Conference on Machine Learning. Long Beach, California, USA: Journal of Machine Learning Research, 2019: 6921-6931.
    [10]
    ZHANG L L, GENG L G, SUN J, et al. Correlation and cluster analysis of agronomic traits of flax germplasm resources based on R language[J]. Acta Agronomica Sinica, 2020, 10(1): 7-12(in Chinese).
    [11]
    WU G J, ZHANG J L, YUAN D. Research on k-means-based elbow method for automatically obtaining k value[J]. Software, 2019, 40(5): 167-170(in Chinese). http://en.cnki.com.cn/Article_en/CJFDTotal-RJZZ201905032.htm
    [12]
    TANG W B, LI T, ZOU P J, et al. Research on summer air conditioning load forecasting based on Pearson correlation coefficient[J]. Power Demand Side Management, 2017, 19(6): 7-13(in Chinese) http://en.cnki.com.cn/Article_en/CJFDTOTAL-DLXQ201706005.htm
    [13]
    TANG W J, YIN X D, YAN Q Z, et al. Application of cluster analysis in distributed optical fiber vibration sensing system[J]. Laser Technology, 2015, 39(6): 854-857(in Chinese).
    [14]
    WANG Q L, QIAO F, JIANG Y H. Improved k-means algorithm based on aggregation distance parameters[J]. Computer Applications, 2019, 39(9): 2586-2590(in Chinese). http://en.cnki.com.cn/Article_en/CJFDTotal-JSJY201909018.htm
    [15]
    LIU Y F, HUANG X X, SONG H, et al. Research on the fault prediction of wind turbine gearbox in wind power generation system[J]. Computer Simulation, 2019, 36(3): 124-127(in Chinese).

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