Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 1, 62(2024)

On-road high-emitter identification method based on mixed kernel extreme learning machine

DUAN Peijie1,2, LI Zerui2、*, LI Kun3, XU Zhenyi2, LYU Zhao4, and KANG Yu2,3
Author Affiliations
  • 1School of Artificial Intelligence, Anhui University, Hefei 230601, China
  • 2Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
  • 3Institute of Advanced Technology, University of Science and Technology of China, Hefei 230088, China
  • 4School of Computer Science and Technology, Anhui University, Hefei 230601, China
  • show less
    References(19)

    [1] W B Fan, J H Chen, J Qian et al. Effects of vehicle emissions on human's health. Chinese Journal of Environmental Management, 8, 110-113(2016).

    [2] Z R Li. Study of Key Problems for Capturing High-Emitters in Road Network Remote Sensing System(2020).

    [3] G A Bishop, D H Stedman, J E Peterson et al. A cost-effectiveness study of carbon monoxide emissions reduction utilizing remote sensing. Air & Waste, 43, 978-988(1993).

    [4] M Pujadas, A Domínguez-SáEZ, J De la Fuente. Real-driving emissions of circulating Spanish car fleet in 2015 using RSD Technology. Science of the Total Environment, 576, 193-209(2017).

    [5] Y H Huang, C K C Lee, Y S Yam et al. Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality. Science Advances, 8, eabl7575(2022).

    [6] H F Guo, J Zeng, Y M Hu. Neural network modeling of vehicle gross emitter prediction based on remote sensing data, 943-946(2006).

    [7] J Zeng, H F Guo, Y M Hu. A PKGV-ANN model for vehicle high emitters identification based on remote sensing data, 171-175(2008).

    [8] Z R Li, Y Kang, W J Lv et al. High-emitter identification model establishment using weighted extreme learning machine and active sampling. Neurocomputing, 441, 79-91(2021).

    [9] Z Y Xu, R J Wang, C Zhang et al. Automatic identification of high-emitting vehicle based on deep feature clustering. Journal of Transportation Systems Engineering and Information Technology, 21, 298-309(2021).

    [10] Z Y Xu, R B Wang, Y Kang et al. Analysis and prediction of main influencing factors in mobile source remote sensing. Journal of Atmospheric and Environmental Optics, 17, 220-229(2022).

    [11] G Huang, Q Zhu, C Siew. Extreme learning machine: Theory and applications. Neurocomputing, 70, 489-501(2006).

    [12] H Huang, H Y Lan, Y B Huang. A detection method of SO2 concentration based on DBN and ELM. Journal of Atmospheric and Environmental Optics, 15, 207-216(2020).

    [13] T D Wang, W Q Liu, Y J Zhang et al. Research of on-road vehicle emissions remote sensing system. Journal of Atmospheric and Environmental Optics, 2, 198-202(2007).

    [14] G B Huang, H M Zhou, X J Ding et al. Extreme learning machine for regression and multiclass classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42, 513-529(2012).

    [15] W J Zhang, D Z Han, K C Li et al. Wireless sensor network intrusion detection system based on MK-ELM. Soft Computing, 24, 12361-12374(2020).

    [16] D H Wu, Z L Wang, Y Chen et al. Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset. Neurocomputing, 190, 35-49(2016).

    [17] L Van der Maaten, G Hinton. Visualizing data using t-SNE. Journal of Machine Learning Research, 9, 2579-2605(2008).

    [18] X B Xu, Y Q Zhao, L B Lu et al. Research on vegetable and fruit image classification method based on LBP particle swarm optimization mixed kernel function ELM. Machine Design & Research, 37, 15-20(2021).

    [19] N H He, P Ding, F Y Ma et al. Research on transformer fault diagnosis method based on optimized extreme learning machine. Chinese Journal of Electron Devices, 44, 897-902(2021).

    Tools

    Get Citation

    Copy Citation Text

    Peijie DUAN, Zerui LI, Kun LI, Zhenyi XU, Zhao LYU, Yu KANG. On-road high-emitter identification method based on mixed kernel extreme learning machine[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(1): 62

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jun. 20, 2022

    Accepted: --

    Published Online: Mar. 19, 2024

    The Author Email: LI Zerui (lizr@iai.ustc.edu.cn)

    DOI:10.3969/j.issn.1673-6141.2024.01.005

    Topics