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Information × Registration Number 0225U003074, (0122U001400) , R & D reports Title Improving the efficiency of information processing in computer systems and networks popup.stage_title Підвищення ефективності обробки інформації в комп’ютерних системах та мережах Head Khandetskyi Volodymyr S., Доктор технічних наук Registration Date 14-05-2025 Organization Oles Honchar Dnipro National University popup.description1 Improving the efficiency of information processing in the process of its formation and transmission using modern computer systems and networks. popup.description2  Using an approach based on Markov chains as a basis, we expressed in an explicit analytical form the dependence of the throughput of a wireless computer network on the number of working stations, the bit error rate, and the frame fragmentation ratio. A comparison of the efficiency of data transmission using variable and constant sizes of blocks with frames formed using different mechanisms, under the influence of variable intensity noise, was made. Web-applications have been created for automatic scanning of raster images of analog oscillograms when measuring the parameters of pulse signals, as well as objects of the microstructure of materials, the image of which was obtained using an electron microscope. Internet browsers are the environment for using the created software. The design and research of the hardware implementation of a pulsed analog neuron with digital control of synaptic weighting coefficients was performed. A two-layer forward propagation neural network was constructed as a model of the impulse network of the neuromorphic processor. Designing and modeling were carried out at the logical, schematic and physical (topological) levels. Studies have been conducted on the use of fuzzy sets of the second type to increase the sensitivity of segmentation of low-contrast images. The algorithm is proposed, which includes the use of two-dimensional Fourier transform and the method of fuzzy intensification. To increase the stability of information systems, a comparative study of the existing and our proposed approaches to solving the problem of synchronization of cause and effect events in application to systems inherent in the architecture of event sources was conducted. In accordance with this, we proposed a probabilistic optimization method for the implementation of group events. Product Description popup.authors Ivashchev Daniil V. Ivon Oleksandr I. Akhmetshyna Liudmyla H. Herasymov Volodymyr V. Hnylenko Oleksii B. Hruzin Dmytro L. Karpenko Nadiіa V. Kryvyi Ihor O. Lytvynov Mykhailo O. Lytvynov Oleksandr A. Mazuryk Stanislav V. Matvieieva Nataliia O. Nesterenko Anton M. Ponomarov Ihor V. Skuratovskyi Ihor A. Spirintseva Olha V. Tverdostup Mykola I. Tonkoshkur Oleksandr S. Fomin Artem A. Khandetskyi Volodymyr S. popup.nrat_date 2025-05-14 Close