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Operational control of marine catastrophes based on competitive computing technologies

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Języki publikacji
EN
Abstrakty
EN
The paper considers the structure and functional elements of the emergency computing center that carries out operational control of sea catastrophes of vessels of the fishing fleet based on the integration of intelligent systems of new generations and high‐performance computing within the problem‐oriented dynamic environment of the virtual testing area. The real time operation of the computer center is provided by the system integration of information, algorithmic and software support based on dynamic measurement data and a structured knowledge base. The focus is on providing decision support in complex dynamic environments using modern catastrophe theory.
Twórcy
  • Kaliningrad State Technical University, Kaliningrad, Russian Federation
  • Kaliningrad State Technical University, Kaliningrad, Russian Federation
  • Kaliningrad State Technical University, Kaliningrad, Russian Federation
Bibliografia
  • [1] Barsegyan A.A., Kupriyanov M.S.. Stepanenko V.V., Kholod I.I. Metody i modeli analiza dannykh: OLAP i Data Mining. – Sankt‐Peterburg. BKHV‐Peterburg, 2004.
  • [2] Bondarev V.A., Nechayev YU.I. Iskusstvennyy intellekt v chrezvychaynykh situatsiyakh moreplavaniya. – Sankt‐Peterburg, 2017.
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  • [6] Nechayev YU.I. Teoriya katastrof: sovremennyy podkhod pri prinyatii resheniy. – Sankt‐Peterburg: Art‐Ekspress, 2011.
  • [7] Nechayev YU.I., Petrov O.N. Nepotoplyayemostʹ sudov: podkhod na osnove sovremennoy teorii katastrof. –Sankt‐Peterburg: Art‐Ekspress, 2014.
  • [8] Nechayev YU.I. Topologiya nelineynykh nestatsionarnykh sistem: teoriya i prilozheniya. – Sankt‐Peterburg: Art‐Ekspress, 2015.
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  • [15] Urgent Computing Workshop 2007. Argonne National Lab, University of Chicago, April 25‐26, 2007.[Электронный ресурс]:<http://spruce.teragrid.org/workshop/urgent07.php>.
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  • [17] Zadeh L. Fuzzy logic, neural networks and soft computing // Соmmutation on the ASM‐1994. Vol.37.№3, р.р.77–84.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bae292b9-54bb-4521-bc46-7d736fb2c633
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