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Алюшин, Виктор Михайлович

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Организационные подразделения
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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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Алюшин
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Виктор Михайлович
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20202
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  • Уменьшенное изображение
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    The classification technology of possible psycho-emotional states of a group of people based on algorithms, implemented in neuro-LSI Ni1000
    (2020) Alyushin, M.; Alyushin, V.; Алюшин, Михаил Васильевич; Алюшин, Виктор Михайлович
    © 2020 The Authors. Published by Elsevier B.V.The relevance of recognition and classification of the psycho-emotional state (PES) of a group of people in real time is shown. Individual characteristics of a person, as well as wide ranges of possible changes in his bioparameters under rapidly changing external conditions, are identified as the main factors that impede the recognition and classification of PES. The expediency of using neural network technology for recognition and classification is substantiated. Algorithms implemented in the neuro-LSI Ni1000 are selected as the base ones. A technique is proposed for normalizing heterogeneous data about a person. The possibility of taking into account the importance of various bioparameters from the point of view of their influence on PES is shown. The technology of class formation is analyzed on the basis of a unified form of features presentation. An example of the use of PS recognition and classification technology in the educational process is presented.
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    Increasing the informativeness content of human face vibraimage through application principles of cognitive psychology
    (2020) Kolobashkina, L.; Alyushin, V.; Колобашкина, Любовь Викторовна; Алюшин, Виктор Михайлович
    © 2020 The Authors. Published by Elsevier B.V.The relevance of the use of modern digital technologies for continuous monitoring of the current functional and psycho-emotional state (CFPES) of workers in critical professions is shown. The possibilities of optical technology based on the receipt and analysis of vibroimages of a person's face are analyzed. It is shown that the practical implementation of the principles of cognitive psychology makes it possible to increase the informativeness of vibraimage by minimizing the influence of external noise, as well as noise of software and hardware for image processing. The developed algorithm is focused on streaming video digital processing. The experimental testing of the approach during the training sessions confirmed its high efficiency.