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Methods for Evaluating the Performance of a Computer Complex for Monitoring the Technical Condition of Radar Stations and Sensor Platforms

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Abstract

A method is proposed for evaluating the performance of a computer complex that collects, stores, and processes data on the technical and functional state of the components of radar stations and sensor networks in order to predict their characteristics. It is shown that the solution of the problem of prompt and highly accurate evaluation of the functional characteristics of radar stations is most efficiently solved using a specialized computer complex, which should not only predict the technical state of the functional systems of the stations, but also provide solutions to the problems of information support for decision making by service personnel to ensure the specified characteristics of radar stations and sensor platforms.

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REFERENCES

  1. The decree of the Russian President of 10.10.2019 N 490 “About development of artificial intelligence in the Russian Federation” (together with “The national strategy of development for artificial intelligence until 2030”). http://www.consultant.ru/document/cons_doc_LAW_ 335184/.

  2. M. A. Melnik, D. A. Nasonov, and A. V. Bukhanovskii, Izv. Vyssh. Uchebn. Zaved., Radioelektron. 63, 191 (2020). https://www.elibrary.ru/item.asp?id=42544098.

  3. B. V. Kostrov and A. I. Martyshkin, Izv. Tul’skogo Gos. Univ. Tekh. Nauki, No. 2, 152 (2018). https://ELIBRARY.RU/ITEM.ASP?ID=32869270.

  4. V. S. Zabuzov and D. I. Kazantsev, Tr. Voenno-Kosm. Akad. im. A. F. Mozhaiskogo (SPb), No. 655, 24 (2016). https://elibrary.ru/item.asp?id=28422679.

  5. A. V. Demin and S. P. Dmitrieva, in Low-Temperature and Food Technologies in the 21st Century (Proc. 7th Sci.-Tech. Conf., St. Petersburg, Nov. 17–20, 2015) (Univ. ITMO, St. Petersburg, 2015), p. 364.

  6. E. Yu. Klimanova, A. R. Subkhankulova, B. V. Zelenko, and O. Yu. Leont’eva, Vestnik Tekhnol. Univ. (Kazan’) 18 (24), 102 (2015). https://cyberleninka.ru/article/n/otsenka-proizvoditelnosti-vychislitelnyh-sistem-2/ viewer.

  7. N. A. Bashtannik, “Assessment of capacity of the computer system of the information and measuring and operating system of a special purpose,” Dissertation Tech. (Astrakhan. Gos. Univ., Astrakhan’, 2010).

  8. A. M. Larionov, S. A. Maiorov, and G. I. Novikov, Computer Complexes, Systems and Networks (Energoatomizdat, Leningrad, 1987).

    Google Scholar 

  9. I. V. Komarov. Tr. SPIIRAN (Nauka, SPb) 2 (2), 155 (2005).

    Google Scholar 

  10. A. I. Martyshkin, ARPN J. Engineering Appl. Sci. 11 (23), 13526 (2016).

    Google Scholar 

  11. I. I. Salnikov, M. Yu. Babich, M. M. Butaev, and A. I. Martyshkin, Int. J. Appl. Engineering Res. 11 (19), 9846 (2016).

    Google Scholar 

  12. A. G. Hoekstra, B. Chopard, D. Coster, et al., Philos. Trans. R. Soc. A. Math. Phys. Eng. Sci. 377 (2142) (2019). Article Number 20180144. https://doi.org/10.1098/rsta.2018.0144

    Article  Google Scholar 

  13. M. Ben Belgacem and B. Chopard, Futur. Gener. Comput. Syst. 67, 72 (2017).

    Article  Google Scholar 

  14. T. S. Almigheerbi, D. Ramsey, and A. Lamek, in Proc. 11th Int. Joint Conf. on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Libya IC3K, 2019, Vol. 3, p. 203. https://doi.org/10.5220/0008119902030211

  15. S. Prathibha, B. Latha, and G. Sumathi, J. Int. Technol. 18, 589 (2017). https://doi.org/10.6138/JIT.2017.18.3.20161101

    Article  Google Scholar 

  16. N. S. Kuzmenko and I. V. Ostroumov, in IEEE First Int. Conf. on System Analysis & Intell. Comput. (SAIC), Kyiv, Oct. 8–12, 2018 (IEEE, New York, 2018). https://doi.org/10.1109/SAIC.2018.8516790

  17. K. Xu and Y. Zhong, Oper. Res. 68, 1698 (2020). https://doi.org/10.1287/OPRE.2019.1940

    Article  MathSciNet  Google Scholar 

  18. X. Chen, Z. Li, Y. Chen, et al., Concurrency Comput. Pract. Exper. 32 (16), e5145 (2020). https://doi.org/10.1002/cpe.5145

    Article  Google Scholar 

  19. X. Wang, S. Zhang, M. Zhang, et al., “Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),” LNCS 10393, 331 (2017). https://doi.org/10.1007/978-3-319-65482-9_22

  20. K. Zhang, Y. Lyu, and L. Zhang, Chinese Control Conf. CCC, July, 2020, p. 4290. https://doi.org/10.23919/CCC50068.2020.9189017

  21. E. Markova, Y. Satin, I. Kochetkova, et al., Mathematics 8 (5), Art. No. 800 (2020). https://doi.org/10.3390/math8050800

    Article  Google Scholar 

  22. L. A. Vasquez-Toledo, B. Borja-Benítez, R. Marcelin-Jimenéz, et al., AEU – Int. J. Electron. and Commun., 127 (2020). https://doi.org/10.1016/j.aeue.2020.153406

  23. A. Turovska and I. Ostroumov, in Proc. 10th Int. Conf. Adv. Comput. Inform. Technol. (ACIT), Deggendorf, Germany, Sept. 16–18, 2020 (ACIT, 2020), p. 250. https://doi.org/10.1109/ACIT49673.2020.9208984

  24. G. Jiang and Y. Fan, Sensors 19 (2), Art. No. 348 (2019).

    Article  Google Scholar 

  25. Gorbatenko N.I., Scoba A.N., Mikhaylov V.K. // Proc. Int. Conf. RusAutoCon. p. 400 (2020). https://doi.org/10.1109/RusAutoCon49822.2020.9208044

  26. J. Gaitonde and É. Tardos, in Proc. EC 2020—21st ACM Conf. Economics and Computation, July 13–17, 2020 (ACM, 2020), p. 319. https://doi.org/10.1145/3391403.3399491

  27. A. I. Martyshkin, D. V. Pashchenko, D. A. Trokoz, et al., Bull. Electrical Engineering & Inform. 9 (3), 1106 (2020). https://doi.org/10.11591/eei.v9i3.1714

    Article  Google Scholar 

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Funding

The work of A.Yu. Perlov was supported by the Council on Presidential Grants for Young Candidates of Sciences, grant no. MK-241.2021.4.

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Correspondence to A. A. Potapov.

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Translated by E. Chernokozhin

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Akinshin, N.S., Potapov, A.A., Minakov, E.I. et al. Methods for Evaluating the Performance of a Computer Complex for Monitoring the Technical Condition of Radar Stations and Sensor Platforms. J. Commun. Technol. Electron. 67, 567–572 (2022). https://doi.org/10.1134/S1064226922050011

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