Izvestiya vuzov. Yadernaya Energetika

The peer-reviewed scientific and technology journal. ISSN: 0204-3327

Linguistic Independence of Education in the Nuclear Power Sector

12/20/2024 2024 - #04 Personnel training

Putilov A.V. Nazarova Y.S. Moiseeva O.A.

DOI: https://doi.org/10.26583/npe.2024.4.16

UDC: 378.4:621.039

The paper describes in brief the use of the artificial intelligence (AI) and machine learning technology for a software and hardware system (PAK) to be developed by Rosenergoatom JSC, which represents a portable tablet translator for effective dialog with foreign partners in the field of nuclear power. The PAK meets all safety requirements for operation at NPPs and other restricted industrial facilities with controlled access. More than 900 hours of machine learning conducted for English terms provide for the fast and correct recognition and translation of speech with adaptation to different accents; machine learning is currently under way for Turkish and languages spoken in some other Rosatom presence countries. The tablet with a high-power processor (an import-independent system based on Astra Linux OS, 17-8550U, RAM 16 GB) makes it possible to process a large amount of data and dialogs of different duration. Such PAK-based engineering support allows making nuclear education process linguistically independent. The requirements of educational technologies, which are expected to lead to advanced training of personnel, are discussed in this paper taking into account the peculiarities of the global market of nuclear generation and training of foreign experts in the field of high technologies. Emphasis is placed on the fact that the new educational technology is expected to support the successful search for talents in the global personnel market. Currently, the English language machine translation technology is at its implementation stage, and the development of the Turkish and Arabic language technology versions is nearing completion. The software and hardware system will be used to establish a new international-level educational cluster in Obninsk, involving nuclear and higher education organizations.

References

  1. On the Strategy for Scientific and Technological Development of the Russian Federation. Decree of the President of the Russian Federation from December 01, 2016 № 642. URL: http://static.kremlin.ru/media/acts/files/0001201612010007.pdf (accessed Feb. 16, 2024) (in Russian).
  2. There is no speech about the complete replacement of the operator, Novovoronezh NPP discussed the introduction of artificial intelligence technologies. Rosenergoatom. Energetic People. 2024, no. 4, pp. 34–38 (in Russian).
  3. Putilov A.V., Strikhanov M.N., Tikhomirov G.V. Training for the developing nuclear power. Izvestiya vuzov. Yadernaya Energetika. 2019, no. 2, pp. 208-218. DOI: https://doi.org/10.26583/npe.2019.2.18 (in Russian).
  4. Tsapova N.Yu. Foreign experience in employment regulation. The science of man: humanitarian research. 2010, no. 1(5), pp. 45–47.
  5. Zelloth H., Gligorijevic D., Sultana R. Career Guidance Policies in Acceding and Candidate Countries. Vocational Training: Research and Realities. 2003, no. 7, pp. 36–47.
  6. Prados de la Escosura L., Roses J.R. Human capital and economic growth in Spain, 1850-2020. Explorations in Economic History. 2010, vol. 47, iss. 4, pp. 520–532. DOI: https://doi.org/10.1016/j.eeh.2010.02.002
  7. O*NET U.S. Department of Labor. URL: www.dol.gov/agencies/eta/onet (accessed Feb. 14, 2024).
  8. Bazueva E.V., Oseyan T.O. Improvement of the model of formation and management of personnel reserve of an international company on the basis of talent management. Perm. Perm State National University Publ., 2022, 93 p. (in Russian).
  9. Putilov A.V., Nagornov O.V., Matitsyn I.N., Moiseyeva O.A. Formation of digital competencies for scientific and educational activities of graduate students. Engineering Education. 2018, iss. 24, pp. 109–118. EDN: KLDLPP (in Russian).

nuclear power industry education export artificial intelligence machine learning advanced training of personnel talent search

Link for citing the article: Putilov A.V., Nazarova Y.S., Moiseeva O.A. Linguistic Independence of Education in the Nuclear Power Sector. Izvestiya vuzov. Yadernaya Energetika. 2024, no. 4, pp. 191-201; DOI: https://doi.org/10.26583/npe.2024.4.16 (in Russian).

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