Search academic texts

Information × Registration Number 0226U002955, (0125U000645) , R & D reports Title Development of methods and means for designing mobile cyber-physical systems with artificial intelligence for social, security, and defense tasks popup.stage_title Методи інтелектуального збору, передавання та обробки даних для кіберфізичних систем Head Beshlei Halyna V., Доктор філософії Registration Date 11-03-2026 Organization Lviv Polytechnic National University popup.description1 The development and testing of mobile cyber-physical systems using advanced artificial intelligence means and the newest methods of data transmission and processing to provide autonomous navigation for visually impaired people, detailed monitoring of background radiation and air quality, and expanding the capabilities of intelligence operations aimed at improving national security and rapid response to emergencies. popup.description2 A comprehensive system analysis of the architectures and design principles of cyber-physical systems based on the integration of sensors, wireless communication networks, and server-side analytical platforms has been conducted. A method for intelligent data exchange between cyber-physical system nodes has been developed based on a multi-technology wireless communication infrastructure and adaptive channel selection mechanisms, which improves the reliability and efficiency of information transmission in distributed sensor networks. Algorithms for optimizing the placement of sensor nodes and determining data transmission routes based on genetic algorithms have been proposed, enabling the formation of an efficient network topology and reducing coverage gaps during monitoring of the controlled area. A hybrid optimization method for data collection and analysis in cyber-physical systems has also been developed, combining singular value decomposition and federated machine learning approaches to enable efficient processing of large volumes of distributed data without centralized storage. Furthermore, a model for intelligent analysis of heterogeneous data streams has been proposed using machine learning techniques, including Bayesian networks, recurrent neural networks, and long short-term memory models. In addition, a method for adaptive load management in multi-level distributed computing systems has been developed, ensuring efficient distribution of computational tasks across infrastructure nodes and reducing data processing latency. The obtained results form a scientific and technological foundation for the development of intelligent cyber-physical systems for monitoring, data analysis, and decision support, which can be applied in environmental control systems, critical infrastructure monitoring, urban resource management, as well as in security- and defense-oriented information and communication systems. Product Description popup.authors Yulia Pyrih Nazar Peleh Vasyl Mrak Olena Hordiichuk-Bublivska Mykhailo Medvetskyi Yuriy Shkoropad Yaroslav Pyrih Volodymyr Pastukh popup.nrat_date 2026-03-11 Close