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  • АСПЕКТЫ КОНЦЕПЦИИ «ИНДУСТРИЯ 4.0» В ЧАСТИ ПРОЕКТИРОВАНИЯ ПРОИЗВОДСТВЕННЫХ ПРОЦЕССОВ
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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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АСПЕКТЫ КОНЦЕПЦИИ «ИНДУСТРИЯ 4.0» В ЧАСТИ ПРОЕКТИРОВАНИЯ ПРОИЗВОДСТВЕННЫХ ПРОЦЕССОВ

ГЛОБАЛЬНАЯ ЭНЕРГИЯ. 2017. Т. 10. № 1. С. 19–31.
Левенцов В. А., Радаев А. Е., Nikolaevskiy N.

In many ways the prospects of industry in Russian Federation are determined by the implementation of the National technological initiative which aims to create a new economy within the “Industry 4.0” concept. Considering the prospects of development of the domestic industry for the next decades, it should be noted that today the corresponding process in many respects is defined by the realization of the National Technological Initiative (NTI). The analysis of the NTI structure shows that one of the major directions of such development would be the implementation of advanced manufacturing technologies and the creation of the Future Factories. A preliminary literature overview in the respective area has shown that most of the studies consider the questions of product design as a basic part of product lifecycle. At the same time there is a lack of methodological developments in the area of design of technological processes within advanced manufacturing systems. For this reason, it is important to investigate the development of instruments for justification of manufacturing systems functioning within the «Industry 4.0» concept. We have offered to use the advanced paradigms of imitating modeling, the discrete, the event and the agent, for the description of basic and auxiliary processes realized in production systems. We have determined the main requirements for the processing of manufacturing systems.Comparing such requirements with the specifics of the existing approaches to organizational design of manufacturing systems provided a basis for concluding that the simulation modeling approach is effective. The justification of the technological process parameters by using simulation modeling is substantiated, the main principles are defined.

Research target: Natural Sciences Engineering and Technology
Priority areas: economics management engineering science
Language: Russian
DOI
Text on another site
Keywords: имитационное моделированиепроектирование производственных системsimulation modellingпередовые производственные технологииadvanced manufacturing technologiesproduction system design
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