CSIT - 2023 рік
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Перегляд CSIT - 2023 рік за Автор "Pavlova, O."
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Документ Approaches of building a real-world object detector data source(Хмельницький національний університет, 2023) Pavlova, O.; Bashta, A.; Kuzmin, A.In our constantly developing world virtual, augmented, and mixed reality technologies are becoming integral parts of our daily lives. In the current stage of Information Technology field development, technologies of virtual, augmented and mixed reality can be seen in almost all areas of human life. Nowadays AR is used in Marketing and Advertising, Education, Medicine, Automotive, Game Development, Navigation and other areas of our everyday life. Therefore, object detection is a crucial task in computer vision and AI applications, enabling machines to identify and locate objects within images or video frames. The accuracy and performance of an object detector heavily rely on the quality and diversity of the training data. This paper is aimed at finding the approaches of building a real-world object detector data source to be able to create a model for detecting a sport games surfaces using the Action & Vision App. During this research several structured approaches of building an object detector data source have been built, drawing inspiration from Apple's Create ML documentation on the topic. Additionally, real-world applications available on both the App Store and Google Play that leverage object detection technology were showcased and analyzed. In the course of study a dataset of objects has been collected and then utilized to build a robust detection model, tailored to function seamlessly with Vision and Core ML frameworks on iOS devices. The trained object detection model, informed by the diverse dataset and robust training process, is employed to identify and outline tables and rectangles in each frame of the video stream. The model and the proposed approaches will be further applied to develop the method of object detection in the real world and create a mobile application for sport games simulation, that would help players to practice their skills out of the training field.Документ Automated system for determining speed of cars ahead(Хмельницький національний університет, 2023) Pavlova, O.; Bilinska, A.; Holovatiuk, A.; Binkovskyi, Y.; Melnychuk, D.Road accidents and speeding violations are pervasive issues that pose substantial threats to road users on a daily basis. In an ongoing effort to improve road safety and reduce the frequency of accidents, researchers and engineers have been dedicated to the development and implementation of new technologies. One such significant innovation is the utilization of speed control systems based on traffic cameras. This paper delves into a thorough exploration of the pivotal role and significance of speed control systems on our roadways. It investigates the operational principles, advantages, and various strategies employed to enhance the efficiency of these systems, with the ultimate goal of achieving optimal results in speed control and ensuring road safety. Speeding remains a widespread concern that significantly contributes to road accidents. Such incidents lead to injuries, fatalities, and extensive property damage, underscoring the urgent need for effective speed control measures. Among the arsenal of solutions available, speed control systems utilizing traffic cameras have emerged as a prominent and promising approach. These systems function by monitoring and recording the speed of vehicles at specific locations, which is later used to enforce speed limits and penalize offenders. The advantages of speed control systems based on traffic cameras are multifaceted. They offer an objective and reliable method for detecting and documenting speeding violations, eliminating the need for law enforcement personnel to be present at all times. This aspect not only frees up law enforcement resources but also ensures consistent and unbiased enforcement of speed limits. Additionally, the data collected by these systems can serve as a valuable resource for traffic management, accident analysis, and road safety researchДокумент Automated testing of web project functionality with using of error propagation analysis(Хмельницький національний університет, 2023) Zasornova, I.; Fedula, M.; Pavlova, O.; Kysil, T.Automated testing is indispensable in the area of software engineering, particularly for web project functionality, as the complexity of software systems continues to surge. This paper delves into the pivotal role of automated testing and how the integration of error propagation analysis, grounded in chaos theory, can elevate its efficacy. The objective is to elucidate the significance of this methodology and its application in bolstering the reliability and performance of web projects. Automated testing automates the execution of predefined test cases, offering efficiency gains, reduced human error, and swift defect detection in software development. Various testing approaches, including unit testing, integration testing, and regression testing, cater to distinct facets of software functionality, ensuring seamless operation of all components. Web project functionality is integral to the user experience, encompassing navigation menus, forms, and search features. Testing this functionality is imperative to unearth inconsistencies or errors that could compromise user satisfaction and task completion. This paper proposes a methodology for automated testing coupled with error propagation analysis, which involves scrutinizing how errors evolve through a system over time. Chaos theory, a branch of mathematics examining complex systems' behavior, is employed to understand how minor variations in initial conditions can precipitate substantial system behavior shifts. Traditional error propagation analysis hinges on linear, deterministic models, but real-world systems often exhibit nonlinear, chaotic characteristics, rendering such models inadequate. Chaos theory's non-linear dynamics model the intricate interactions between input variables and their effects on outputs, capturing the sensitivity of chaotic systems to initial conditions. This approach appreciates system complexity and intricate feedback loops, enhancing error analysis's robustness and accuracy. However, the application of chaos theory introduces complexity and computational demands, necessitating a balance between model intricacy and practicality. The proposed methodology unveil valuable insights into error propagation within web projects' functionality, pinpointing vulnerable components and areas ripe for improvement. The methodology's advantages include the ability to identify potential issues and vulnerabilities, ultimately enhancing web project reliability.