AN INTELLIGENT FUSION OBJECT-DETECTION ALGORITHM FOR SMART SUBSTATION SYSTEM, 1-7.

Ziqiang Zhang

References

  1. [1] S. Hussain, J.H. Fernandez, A.K. Al-Ali, and A. Shikfa,Vulnerabilities and countermeasures in electrical substations,International Journal of Critical Infrastructure Protection, 33,2021, 100406. https://doi.org/10.1016/j.ijcip.2020.100406
  2. [2] A. Mahmoudan, P. Samadof, S. Hosseinzadeh, and D.A.A.Garcia, A multigeneration cascade system using ground-source energy with cold recovery: 3E analyses andmulti-objective optimization, Energy, 233, 2021,121185.https://doi.org/10.1016/j.energy.2021.121185
  3. [3] A. Sohani, M.Z. Pedram, K. Berenjkar, H. Sayyaadi, S.Hoseinzadeh, H. Kariman, and M.E.H. Assad, Techno-energy-enviro-economic multi-objective optimization to determine thebest operating conditions for preparing toluene in an industrialsetup, Journal of Cleaner Production, 313, 2021, 127887.https://doi.org/10.1016/j.jclepro.2021.1278876
  4. [4] F. Pang, Q. Li, Q. Bu, Z. Zhou, and C. Zhang,New generation smart substations, IEC 61850-based smartsubstations. (London: Academic Press, 2019), 359–421.https://doi.org/10.1016/B978-0-12-815158-7.00009-3
  5. [5] L. Huang, Q. Fu, M. He, D. Jiang, and Z. Hao, Detectionalgorithm of safety helmet wearing based on deep learning,Concurrency and Computation: Practice and Experience,33(13), 2021, e6234. https://doi.org/10.1002/cpe.6234
  6. [6] Z. Na, Y. Zechuan, H. You, B. Xiaoan, and S. Yifan, Personneldress code detection algorithm based on convolutional neuralnetwork cascade, Proc. 2nd Int. Conf. on Machine Learning,Big Data and Business Intelligence (MLBDBI), Taiyuan, 2020,215–221. DOI: 10.1109/MLBDBI51377.2020.00047.
  7. [7] Y. Wang, J. Zhang, L. Zhu, Z. Sun, and J.A. Lu, Amoving object detection scheme based on video surveillancefor smart substation, Proc. 14th IEEE Int. Conf. onSignal Processing (ICSP), Beijing, 2018, 500–503. DOI:10.1109/ICSP.2018.8652316.
  8. [8] H. Li, X.J. Zhang, H. Pan, W.Q. Mao, Y.B. Yan, andL.F. Chen, Research on a reliability evaluation method of acommunication network for an intelligent substation, PowerSystem Protection and Control, 49(9), 2021, 165–171. DOI:10.19783/j.cnki.pspc.200807.
  9. [9] Y.Q. Chen, J.H. Chen, J.B. Qiu, B.J. Liu, and P. Du, Researchon automatic acceptance system of monitoring information ina smart substation, Power System Protection and Control,48(11), 2020, 143–150. DOI: 10.19783/j.cnki.pspc.190366.
  10. [10] Y. Zhang, Study on the technology of errors prevention forsecondary maintenance of intelligent substation, Electric PowerSystem Equipment, 18(1), 2020, 139–140.
  11. [11] J.X. Zhao, S.S. Guo, and D.J. Mu, DouBiGRU-A: Softwaredefect detection algorithm based on attention mechanism anddouble BiGRU, Computers & Security, 111, 2021, 102459.https://doi.org/10.1016/j.cose.2021.102459
  12. [12] Y.Q. Chen, Z.Z. He, Z. Ma, R.X. Bi, and H.Y. Mao,Intelligent target detection algorithm for embedded FPGA,Microelectronics & Computer, 38(6), 2021, 87–92. DOI:10.19304/j.cnki.issn1000-7180.2021.06.015.
  13. [13] J.W. Wen, Y.W. Zhan, C.H. Li, and J.B. Lu, Design of Atrousfilter to strengthen small object detection capability of SSD,Application Research of Computers, 36(3), 2019, 861–865+872.DOI: 10.19734/j.issn.1001-3695.2017.09.0967.
  14. [14] H.J. Chen, Q.Q. Wang, G.W. Yang, J.L. Han, C.J. Yin, J.Chen, and Y.Z. Wang, SSD object detection algorithm withmulti-scale convolution feature fusion, Journal of Frontiers ofComputer Science and Technology, 13(6), 2019, 1049–1061.
  15. [15] J. Jeong, H. Park, and N. Kwark, Enhancement of SSD byconcatenating feature maps for object detection, arXiv preprintarXiv:1705.09587, 2017.
  16. [16] Q.S. Hou and J.S. Xing, SSD object detection algorithm basedon KL loss and grad-CAM, Acta Electronica Sinica, 48(12),2020, 2409–2416.
  17. [17] C.-Y. Fu, W. Liu, A. Ranga, A. Tyagi, and A.C. Berg,DSSD: Deconvolutional single shot detector, arXiv preprintarXiv:1701.06659, 2017.
  18. [18] Z.X. Li and F.Q. Zhou, FSSD: Feature fusion single shotmultibox detector, arXiv preprint arXiv:1712.00960, 2017.
  19. [19] X.X. Yue, J.X. Jia, X.D. Chen, and G.A. Li, Road small targetdetection algorithm based on improved YOLO V3, ComputerEngineering and Applications, 56(21), 2020, 218–223.
  20. [20] B.J. Zou, W.J. Yang, M. Liu, and L. Z. Jiang, A three-stagetext recognition framework for natural scene images, Journalof Zhejiang University (Science Edition), 48(1), 2021, 1–8.

Important Links:

Go Back