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Information × Registration Number 0226U003394, (0124U001789) , R & D reports Title Models, structures and components of specialized computer means of intelligent information processing in monitoring systems popup.stage_title Дослідження ефективності сучасних методів збору та систематизації надвеликих обсягів даних, отриманих від інформаційних джерел в реальному часі. Розробка концепції архітектурно-структурної організації спеціалізованих комп’ютерних засобів для систем моніторингу. Head Yaroslav Klyatchenko, Кандидат технічних наук Registration Date 02-04-2026 Organization National Technscal University of Ukraine "Kiev Polytechnic Institute". popup.description1 Development of intelligent models and methods of identification, classification, prediction of the behavior of objects based on raw streaming data obtained from distributed sensor networks in the process of continuous monitoring of the environment popup.description2 The concept of building means for identification, classification and prediction of the behavior of objects has been developed. Features of design, implementation, adjustment and adaptation of functional components and architecture of the overall complex in accordance with the WCET assessment for real-time systems are determined. Modern approaches to determining the maximum allowable time for completing a set of tasks in accordance with the parameters of the information system are analyzed. Classification of systems operating in real time has been carried out. A multi-level classification of tasks performed in the environment of real-time systems has been implemented. The concept of structural organization of microclimate monitoring systems using Internet of Things technologies has been developed. Models based on combinational circuits for hardware implementation and the algorithm for software implementation of the substitution function have been created. Algorithms of attacks and selection of the researched substitution function are studied. The effectiveness of methods and the structural organization of modern machine (computer) vision systems have been studied and analyzed. An algorithm that uses computer vision technologies and deep learning methods for automated object recognition has been researched, developed and implemented. The effectiveness of modern methods of collection and systematization of extremely large volumes of data obtained from information sources in real time has been studied. The description of new software tools for sharing data by many users, in particular, the use of transactions, ensuring competitive and regulated access to data, is studied and presented. The dynamics of wheeled vehicles were analyzed and the effectiveness of using modern computer modeling in the process of vehicle design was assessed. The existing tire models were classified, divided into empirical, semi-empirical and physical. Product Description popup.authors Тесленко Олександр Кирилович Andrii V. Petrashenko Tarassenko-Klyatchenko Oksana V. popup.nrat_date 2026-04-02 Close