CSIT - 2025 рік

Постійне посилання зібрання

https://elar.khmnu.edu.ua/handle/123456789/18099

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Перегляд CSIT - 2025 рік за Ключові слова "004.89: 004.3"

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  • Ескіз
    Документ
    Method of FPV drone stabilization on an automatically determined target and its further observation
    (Хмельницький національний університет, 2025) Halytskyi, Oleksandr; Denysiuk, Dmytro; Kozhemiako, Yaroslava; Kvassay, Miroslav
    In recent years, the use of FPV (First Person View) drones has gained significant traction across various fields, including recreational activities, infrastructure inspections, search-and-rescue missions, and military operations. The paper considers the problem of the lack of stabilization in FPV drones, which significantly limits their functionality for applications that require precise tracking of a specific target. Such drones, although characterized by high maneuverability and affordable cost, are inferior to commercial quadcopters such as the DJI Mavic, which are equipped with effective stabilization systems, but are significantly more expensive due to the use of proprietary technologies. The paper proposes a new approach to stabilizing FPV drones, based on the use of computer vision algorithms for automatic target detection and tracking. The main concept includes target detection based on image analysis from the drone camera, further determination of its trajectory and transmission of appropriate control commands to the flight controller using the MAVLink protocol. This approach allows to significantly increase the accuracy and stability of FPV drones when performing tasks that require focusing on an object, such as infrastructure inspection, search and rescue operations, or video shooting. The proposed solution is based on accessible and open technologies, which ensures its adaptability and low implementation cost. The paper describes in detail the developed system architecture, which includes a computer vision module for video stream analysis, algorithms for data processing and filtering, as well as integration mechanisms with existing flight controllers. A series of experiments were conducted to evaluate the effectiveness of the proposed approach. The results demonstrate that the proposed system is able to ensure stable drone tracking on a specified target even in difficult flight conditions.
  • Ескіз
    Документ
    Use of smart contracts on the ton blockchain for innovative educational solutions development ed on machine learning algorithms
    (Хмельницький національний університет, 2025) Askerov, Viacheslav; Tomchyshen, Bohdan; Bouhissi, Houda El
    In the modern world, blockchain technologies are gaining popularity due to their ability to ensure security, transparency and decentralization of data. One of the most promising platforms is The Open Network (TON), which provides unique opportunities for the development of smart contracts. This article discusses the main features of the TON blockchain and its advantages in the context of educational process automation. Smart contracts implemented on the TON platform can serve as a tool for optimizing educational systems. They allow to automate processes related to knowledge validation, grade management, and even finance in educational institutions. For example, smart contracts can provide automatic scholarships based on students' grades, as well as control over the implementation of curricula. The paper also analyzes the benefits of using smart contracts in the educational process, such as reducing administrative costs, increasing transparency, and reducing fraud risks. In addition, blockchain technologies provide an opportunity to create decentralized platforms for storing and sharing knowledge, which makes learning more accessible and effective. Particular attention is paid to the mathematical aspects that ensure the functioning of TON, as well as sharing mechanisms that allow the platform to process thousands of transactions per second. These technologies can be used to create educational applications requiring high bandwidth and data processing speed. The paper contains formulas that illustrate the technical characteristics of the TON blockchain and provides a detailed analysis of its architecture. The study shows that smart contracts on the TON platform have the potential to revolutionize educational processes by providing new tools for data management and security.