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Application of Information Technologies and Programming Methods of Embedded Systems for Complex Intellectual Analysis

1
Department Business Informatics, Financial University under the Government of the Russian Federation, 49 Leningradsky Prospekt, 125993 Moscow, Russia
2
Department of Cyber-Physical Systems, St.Petersburg State Marine Technical University, 190121 St. Petersburg, Russia
3
Department Complex Information Security, Admiral Makarov State University of Maritime and Inland Shipping, 198035 Saint-Petersburg, Russia
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Department of Ship’s Electrical Equipment and Automatization, Kerch State Maritime Technological University, 298309 Kerch, Russia
*
Author to whom correspondence should be addressed.
Academic Editor: Karlheinz Schwarz
Entropy 2021, 23(1), 94; https://doi.org/10.3390/e23010094
Received: 18 December 2020 / Revised: 1 January 2021 / Accepted: 8 January 2021 / Published: 11 January 2021
An information model is outlined, which represents an intelligent system of metallographic analysis in the form of a set of subsystems, the interaction of which ensures the performance of metallographic analysis functions. The structure of the information storage subsystem for metallographic analysis is presented. The deployment model of an intelligent metallographic analysis system is proposed and described. The paper outlines the approach to the presentation of an expert subsystem for metallographic quality control of metals based on a neural network. The process of finding a close precedent in metallographic analysis with reference to a multilayer neural network is described. An intelligent metallographic analysis system is described, which based on proposed information model. A specialized software of an intelligent metallographic analysis system is presented. The functioning results of the developed system for processing images of steel microstructures to determine the steel quantitative parameters is presented. View Full-Text
Keywords: intelligent system; metallographic analysis; software; neural networks; expert subsystem intelligent system; metallographic analysis; software; neural networks; expert subsystem
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MDPI and ACS Style

Emelianov, V.; Emelianova, N.; Zhilenkov, A.; Chernyi, S. Application of Information Technologies and Programming Methods of Embedded Systems for Complex Intellectual Analysis. Entropy 2021, 23, 94. https://doi.org/10.3390/e23010094

AMA Style

Emelianov V, Emelianova N, Zhilenkov A, Chernyi S. Application of Information Technologies and Programming Methods of Embedded Systems for Complex Intellectual Analysis. Entropy. 2021; 23(1):94. https://doi.org/10.3390/e23010094

Chicago/Turabian Style

Emelianov, Vitalii, Nataliia Emelianova, Anton Zhilenkov, and Sergei Chernyi. 2021. "Application of Information Technologies and Programming Methods of Embedded Systems for Complex Intellectual Analysis" Entropy 23, no. 1: 94. https://doi.org/10.3390/e23010094

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