Публикации
- Alexey Borovkov, Kuzma Kukushkin, Yury Ryabov Digital Twins: A Systematic Literature Review Based on Data Analysis and Topic Modeling «Цифровой двойник. Систематический обзор научной литературы на основе анализа данных и тематического моделирования» // 2022. 7(12), 173; (https://doi.org/10.3390/data7120173)
Abstract: The digital twin has recently become a popular topic in research related to manufacturing, such as Industry 4.0, the industrial internet of things, and cyber-physical systems. In addition, digital twins are the focus of several research areas: construction, urban management, digital transformation of the economy, medicine, virtual reality, software testing, and others. The concept is not yet fully defined, its scope seems unlimited, and the topic is relatively new; all this can present a barrier to research. The main goal of this paper is to develop a proper methodology for visualizing the digital-twin science landscape using modern bibliometric tools, text-mining and topic-modeling, based on machine learning models—Latent Dirichlet Allocation (LDA) and BERTopic (Bidirectional Encoder Representations from Transformers). The scope of the study includes 8693 publications on the topic selected from the Scopus database, published between January 1993 and September 2022. Keyword co-occurrence analysis and topic-modeling indicate that studies on digital twins are still in the early stage of development. At the same time, the core of the topic is growing, and some topic clusters are emerging. More than 100 topics can be identified; the most popular and fastest-growing topic is ‘digital twins of industrial robots, production lines and objects.’ Further efforts are needed to verify the proposed methodology, which can be achieved by analyzing other research fields.
- Перспективы развития рынка электротранспорта и зарядной инфраструктуры в России. ISBN: 978-5-7422-7238-0 Экспертно-аналитический доклад / Д.В. Санатов [и др.]: под ред. А. И. Боровкова, В. Н. Княгинина – СПб. : ПОЛИТЕХ-ПРЕСС, 2021. – 44 с.
Доклад подготовлен коллективом авторов, представляющих консорциум организаций, заинтересованных в развитии рынка электромобилей: Фонд «Центр стратегических разработок «Северо-Запад», Санкт-Петербургский политехнический университет Петра Великого, КАМАЗ, Институт исследований и экспертизы ВЭБ.РФ, Сколковский институт науки и технологий в партнерстве с Фондом поддержки инноваций и молодежных инициатив Санкт-Петербурга.
В докладе дана оценка современному состоянию отрасли электротранспорта в России и за рубежом, в первую очередь, динамике и объему рынка, предложены меры по выходу России на рынок электротранспорта и компонентов и достижению значимой доли российских предприятий. Рассмотрен уровень технологической готовности российских компаний к выпуску электротранспорта и предложены ключевые направления развития технологий. Представлены факторы развития рынка: влияние электротранспорта на декарбонизацию и энергобаланс, потребительский спрос и стоимость владения электромобилем, развитие сопутствующих технологий и рынков, государственная политика. На основе анализа мирового и российского опыта авторами даны рекомендации по формированию политики России в отношении электротранспорта, адресованные органам государственной власти федерального и регионального уровня. - Razumov N., Makhmutov T., Kim A., Shemyakinsky B., Shakhmatov A., Popovich V., Popovich A. Refractory crmonbwv high-entropy alloy manufactured by mechanical alloying and spark plasma sintering: Evolution of microstructure and properties // Materials. – 2021. – 14. – 3.
- Makhmutov T., Razumov N., Kim A., Ozerskoy N., Mazeeva A., Popovich A. Synthesis of CoCrFeNiMnW0.25 High-Entropy Alloy Powders by Mechanical Alloying and Plasma Spheroidization Processes for Additive Manufacturing // Metals and Materials International. – 2021. – 27. – 1.
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Maxim Kalinin, Vasiliy Krundyshev, Peter Zegzhda Cybersecurity Risk Assessment in Smart City Infrastructures // Machines. – 2021. – 9. – 4. – Article number 78
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Maxim Kalinin, Vasiliy Krundyshev, Viacheslav Belenko, Valery Chernenko Detection and Prediction of Safety Faults in Inter-Device Networks Applying a Set of Data-Driven Methods // Proceedings of International Scientific Conference on Telecommunications, Computing and Control; Book series: Smart Innovation, Systems and Technologies. – 2021. – 220. – С. 15-25
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