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Project Safety Management Systems of Students with 3D Game Development
(2021-08-03) Sivakovska, Olena; Rudynets, Mykola; Yashchuk, Andrii; Redko, Rostyslav; Zabolotnyi, Oleg
One of the main directions of the modern state development is the sphere of ensuring the security of the population. New ways to improve the system of safety measures for participants in the educational process in emergencies, which provide increased stress resilience of students and provide support at a high level of their knowledge and skills to act in extreme conditions were been proposed. One of the ways is a project of training in a virtual environment close to real conditions. It is proposed, for the first time, to develop a training-game 3D simulator for psychological preparation and training of students to act in emergencies, using various functions of modeling possible emergencies. The developed software will help to increase the level of socioeconomic protection of students through the game in a 3D simulator, which will be offered to students as homework or before lessons, or as training behavior in emergencies of different nature and under different conditions. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Performance Comparison of Low-Density Parity-Check (LDPC) Codes for Reliable Communication in Noisy Channels
(Tampere: IEEE, 2024-04-24) Yashchuk, Andrii
Background: With significant improvements in communication systems, especially in the context of emerging smart cities, data dependability over noisy channels has become critical. Low-Density Parity-Check (LDPC) codes have gained popularity because to their large error correcting capabilities, which have even approached the Shannon limit, making them indispensable in current communication systems.Objective: The purpose of this article is to conduct a thorough examination of the performance of LDPC codes, with a focus on their effectiveness in noisy communication situations. Understanding the capabilities of LDPC in error correction, decoding complexity, and throughput efficiency across various setups and circumstances is the goal.Methods: A variety of LDPC code configurations, including specialized configurations such as turbo-coded LDPC and finite geometry-based LDPC codes, were investigated. Their performance was evaluated using simulations under various signal-to-noise ratio (SNR) settings, offering a realistic perspective on how they will behave in real-world communication scenarios.Results: Preliminary data indicate that LDPC code configurations vary in performance. The current study focuses on the trade-offs of various arrangements, stressing their unique strengths and disadvantages. This comparison analysis gives a road map for choosing the best LDPC code for certain communication applications, which is especially important for urban areas on their digital transformation path.Conclusion: In the smart cities, LDPC codes offer tremendous potential to improve the reliability and efficiency of communication networks. Understanding their intricacies, strengths, and trade-offs may help influence communication strategy choices, resulting in more connected, efficient, and sustainable urban ecosystems. © 2024 FRUCT.
Approach To Risk Management Based On The Assessment Of The Cost Of Quality Of Implementation Of Cybersecurity Measures Of The Organization
(Helsinki, 2024-04-24) Kozubtsov, Igor; Lishchyna, Valerii; Yashchuk, Andrii
Background: Intelligent conference rooms are crucial to 21st-century enterprises for events. Safety, resource optimization, and event management depend on accurate counting in such contexts. Manual headcounts are effective yet inefficient and error-prone, particularly for big crowds, requiring automatic people counters. Objective: This article introduces and validates a data-driven algorithm to count and track people in an intelligent conference hall. The concept uses IoT infrastructure, low-resolution cameras, and powerful image-processing algorithms to improve security, resource usage, and real-time management choices. Methods: The message-oriented IoT algorithm incorporates motion detection, background subtraction, people counting, and tracking modules. Blob analysis, edge detection, and low-maintenance, low-resolution cameras are used to capture real-world data. Based on real-time data, a decision-making module controls the conference hall's atmosphere. Results: With a 96.5% accuracy rate and 95% confidence interval in real-time individual counts, the algorithm operates with exceptional dependability. Using real-world data and experimental findings, the algorithm has been extensively tested and shown to work in diverse head counting situations. Conclusion: Intelligent conference hall management using the suggested algorithm might revolutionize venue management. The algorithm's accurate, real-time headcounts improve security, resource utilization, and management decisions, making it a promising candidate for intelligent conference hall management and optimization for diverse events and gatherings.

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