Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Intellectual Technologies in the Field of Fundamental Education of Navigators
1 Baltic Fishing Fleet State Academy, Kaliningrad, Russia
ABSTRACT: The problem of “reshaping” the fundamental education of navigators in the conditions of intensive development of modern computer mathematics, intelligent technologies and high-performance computing is considered. The main attention is paid to the formation of the information-educational environment that provides intellectual support for the trainee. Examples of the use of intelligent technologies that contribute to the organization of the learning process as a creative process of building knowledge are presented.
KEYWORDS: Maritime Education and Training (MET), MET System in Russia, Intellectual Technologies, Fundamental Education of Navigators, Education of Navigators, Reshaping, High Performance Computing, Modern Computer Mathematics
REFERENCES
Bondarev V.A., Nechaev Yu.I. Artificial Intelligence in Emergencies seafaring - St. Petersburg: Art Express, 2017. - 336 p.
Bellman R., Zade L. Decision Making in Vague Conditions. - M .: Mir, 1976. - 46 p.
Barsegyan AA, Kupriyanov M.S. Stepanenko V.V., Kholod I.I. Methods and models of data analysis: OLAP and Data Mining. - St. Petersburg. BHV-Petersburg, 2004. – 336 p.
Kolmogorov A.N. Information theory and theory of algorithms. - M .: Science, 1987. - 304 p.
Krasovsky, A.A., Naumov, A.I. Analytical theory of self-organizing control systems with a high level of artificial intelligence // Izv. RAS. Theory and control systems. 2001. No. 1, pp. 69–75.
Cook D., Bass G. Computer Mathematics. - M .: Science. 1990. – 272 p. - doi:10.1016/0163-4453(90)91519-J
Moiseev N.N. Selected Works, M. Tairex Co., 2003. - 376 p.
Neurocomputers in intellectual technologies of the XXI century. - M .: Radio engineering, 2011. – 352 p.
Nechaev Yu.I. Catastrophe theory: a modern approach to decision making. - St. Petersburg: Art-Express, 2011. - 392 p.. Petersburg: Art Express, 2015. - 325 p.
RF patent №2310237 dated 10.11.2007. Intellectual learning system / Nechaev Yu.I. and etc.
RF Patent No. 2356100 dated May 20, 2009. Method of rating testing in higher education institution / Nechaev Yu.I. and etc.
Saaty T. Decision Making with Dependencies and Feedback. - I .: LKI, 2008. - 369 p.
Systems of artificial intelligence in intellectual technologies of the XXI century. - St. Petersburg: Art Express, 2011. - 376 p.
Solodovnikov V.V., Tumarkin V.I. The theory of complexity and design of control systems. - M .: Science, 1990. - 341 p.
Tikhonov A.N., Arsenin V.Ya. Methods for solving incorrect problems. M .: Nauka, 1986.– 285p.
Haken G. Information and self-organization. Macroscopic approach to complex systems. -M .: Kom Kniga, 2005.– 419 p.
Figueira G., Almada-Lobo B. Hybrid simulation – optimization methods: A taxonomy and discussion // Simulation Modeling Practice and Theory. - 2014. - V. 46. - P. 118–134. - doi:10.1016/j.simpat.2014.03.007
Foster I., Zhao Y., Raicu I., Lu S. Cloud Computing and Grid Computing 360-Degree Compared// eprint arXiv: 0901.0131, 2008 [Electronic resource]: http://arxiv.org/ftp/arxiv/papers/0901/0901.0131.pdf - doi:10.1109/GCE.2008.4738445
Lublinsky B. Defining SOA as an architectural style. 9 January 2007. [Electronic resource]: http://www.ibm.com/ developerworks/architecture/library/ar–soastyle/
Szalay A. Extreme data-intensive scientific computing // Computing in Science & Engineering. 2011. - V. 13. - №. 6. - p. 34-41. - doi:10.1109/MCSE.2011.74
Urgent Computing Workshop 2007. Argonne National Lab, University of Chicago, April 25-26, 2007.
Wille R. Restructuring lattice theory / ordered sets / editor I.Rival. - Dordrecht-Boston, 1982.R. 314 - 339.
Zadeh L. Fuzzy logic, neural networks and soft computing // Software on ASM-1994. Vol.37. №3, рр.77–84. - doi:10.1145/175247.175255
Citation note:
Bondarev V.A., Volkogon V., Nechaev Y., Kovalishin P.Yu.: Intellectual Technologies in the Field of Fundamental Education of Navigators. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 14, No. 1, doi:10.12716/1001.14.01.14, pp. 123-127, 2020
Other publications of authors:
File downloaded 305 times
