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GMDSS Operation Intelligent Evaluation Based on Tree Digraph

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Published:29 October 2022Publication History

ABSTRACT

To solve the problems of subjectivity and low efficiency caused by human factors in GMDSS operation evaluation, an intelligent evaluation method based on tree digraph is proposed. After analyzing the general operation rules of GMDSS, a tree digraph is designed to transform the problem of operation process evaluation into graph theory, DFS recognition algorithm is combined with LCSS dynamic programming algorithm to obtain the indexes of proficiency, deviation and accuracy in operation process. Base on the operation process, the operation results and the operation time, GMDSS intelligent evaluation model is established. The experimental results show that the model can be applied to complex tasks with multiple evaluation items and high randomness of operation and it has certain universal adaptability.

References

  1. Marine Trainee Simulator Technology Requirements Part 5: GMDSS Simulator. Ministry of Transport of the People's Republic of China, 2021. http://jtst.mot.gov.cn/gb/search/gbDetailed?id=c90c690b998ee55572791bc167b42322Google ScholarGoogle Scholar
  2. Ministry of Transport of the People's Republic of China. 2012. Standard of seafarers' competency and assessment of People's Republic of China. Dalian: Dalian Maritime University Press.Google ScholarGoogle Scholar
  3. Harbour Supervision. International Convention on Standards of Training, Certification and Watch keeping for Seafarers 78/95[M]. Beijing: China Science and Technology Press, 1997:32-33.Google ScholarGoogle Scholar
  4. Fangbing Xiao, Yong Yin, Xinyu Zhang, etal. Evaluation system for GMDSS simulation training[J]. Dalian: Journal of Dalian Maritime University, 2010, 36(2): 62-66.Google ScholarGoogle Scholar
  5. Fangbing Xiao, Lin Cong, Dan Zhang, etal. Design and Implementation of Intelligent Evaluation System for GMDSS Equipment Operation. Modern Education Equipment in China, 2021, 12: 9-13.Google ScholarGoogle Scholar
  6. Yusi CHEN, Rujun Chen. Intelligent exploration of GMDSS device operation evaluation based on retrieval method. China Water Transport, 2013, 12(13) : 185-186, 188.Google ScholarGoogle Scholar
  7. Jisheng Zhang, Jianrong Zheng. Intelligent evaluation algorithm for operator training based on operation path. Journal of Computer Applications, 2015, 35(S1) : 142-144, 188.Google ScholarGoogle Scholar
  8. HUANG Huan, Chen Rujun. A Solution of Automatic Evaluating Operation Process of GMDSS Simulator. Computer & Digital Engineering, 2015, 43(12) :2183-2188.Google ScholarGoogle Scholar
  9. Huan Huang, Ji Wang. Automatically evaluating operation accuracy of GMDSS simulator. Dalian: Journal of Dalian Maritime University, 2019, 40(2) :508-515.Google ScholarGoogle Scholar
  10. Valcic S, Skrobonja A,Magli,L, etal. GMDSS Equipment Usage:Seafarers’ Experienc. Marine Science and Engineering, 2021,9(5)Google ScholarGoogle Scholar
  11. Yihao Li, Zheng Hong , Peihong Lin. Fuzzing Test Case Generation Method Based on Depth-first Search. Computer Science, 2021, 48(2) :85-93.Google ScholarGoogle Scholar
  12. Qiupin Xu, Kai Zhao, Detao Qu, etal. LCSS-based fast matching method of activity trajectory rule for the real-time target. Systems Engineering and Electronics. 2021.Google ScholarGoogle Scholar

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  • Published in

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    SPML '22: Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning
    August 2022
    309 pages
    ISBN:9781450396912
    DOI:10.1145/3556384

    Copyright © 2022 ACM

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    New York, NY, United States

    Publication History

    • Published: 29 October 2022

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