Персона: Щукин, Борис Алексеевич
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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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- ПубликацияОткрытый доступImplementation of support for a multi-type flow of requests in the payment card processing server model in the form of a petri net and its validation(2021) Tshukin, B. A.; Klimov, V. V.; Sokolov, I. D.; Щукин, Борис Алексеевич; Климов, Валентин Вячеславович; Соколов, Илья Дмитриевич© 2020 Elsevier B.V.. All rights reserved.In this paper we are considering the implementation of support for modeling of the input flow of differently typed requests in the model of the payment card processing system server in form of a hierarchical coloured Petri net. Also, the validation of the extended model was performed using data from a real processing system. Based on its results, we made a conclusion on the acceptability of using the model in further research and in practical application.
- ПубликацияОткрытый доступThe Application of Transformer Model Architecture for the Dependency Parsing Task(2021) Chernyshov, A.; Klimov, V.; Balandina, A.; Shchukin, B.; Чернышов, Артем Андреевич; Климов, Валентин Вячеславович; Баландина, Анита Ивановна; Щукин, Борис Алексеевич© 2020 Elsevier B.V.. All rights reserved.In this paper, authors discover the advantages of the attention-based neural network application to the natural language dependency-parsing task. The authors explain the architecture and show the results of comparison between attention-based neural network and long-short memory neural networks in relation to the dependency-parsing task.
- ПубликацияОткрытый доступUsing artificial intelligence technologies to predict cash flow(2020) Dadteev, K.; Shchukin, B.; Nemeshaev, S.; Дадтеев, Казбек Маирбекович; Щукин, Борис Алексеевич; Немешаев, Сергей Александрович© 2020 The Authors. Published by Elsevier B.V.Cash flow is one of the most important concepts of financial analysis at the moment. Cash flow forecasting is a key factor in the financial planning of large commercial banks. This paper describes methods of forecasting cash flow volumes using regression model, ARIMA model and MLP neural network model. As the practice has shown the use of classical models (regression and ARIMA) is preferable in the regions that are not subject to sharp economic changes, and MLP has shown greater efficiency in forecasting in large cities and regional centres, i.e. in places with greater economic activity, where the cash flow is affected by a greater number of factors.
- ПубликацияТолько метаданныеApplication of the CDIO standards for cyber-physical education in mechatronics and robotics in a research university on the example of development of digital electronic skills(2021) Baryshev, G.; Yudin, I.; Biryukov, A.; Shukin, B.; Yultyeva R.; Барышев, Геннадий Константинович; Юдин, Игорь Андреевич; Бирюков, Александр Павлович; Щукин, Борис Алексеевич; Юлтыева, Регина Наилевна© 2020 Elsevier B.V.. All rights reserved.One of the main problems of modern technical education is the lack of a specific standard for quality control of specialists' knowledge. Cyber-physical education requires the introduction of new standards into educational programs. At National Research Nuclear University MEPhI, we have extensive experience in the implementation and use of CDIO standards in cyber-physical education to improve the qualification of trained specialists. This article contains the results of the introduction of CDIO standards into the training program for specialists in the field of mechatronics and robotics at National Research Nuclear University MEPhI on the example of the development of digital electronic skills.
- ПубликацияТолько метаданныеPoster: Influence of the Direction of Movement of Earth-Moving and Construction Machines on the Stability of Remote Control Data Transmission via Mobile Communication Channels(2019) Golubeva, T.; Konshin, S.; Leshchev, S.; Mironova, N.; Tshukin, B.; Лещев, Сергей Валерьевич; Миронова, Наталия Борисовна; Щукин, Борис Алексеевич© 2019, Springer International Publishing AG, part of Springer Nature. In the article authors give research results of the influence of the movement direction of earth-moving machines on the stability of the remote control data transmission through mobile communication channels. The authors carried out an extensive analysis of the state of research in this and related fields. If movement direction of earth-moving and construction machines changes with respect to the nearest radio transmitting tower of the mobile communication base station, theoretically an instability in data transmission of data over mobile communication channels will appear. To establish the admissibility of such instability, experiments were performed in real conditions, the results of which are presented in the article.