Кафедра комп’ютерно-інтегрованих технологій, автоматизації та робототехніки (КІТАР)
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Перегляд Кафедра комп’ютерно-інтегрованих технологій, автоматизації та робототехніки (КІТАР) за автором "Ahmad Alkhalaileh"
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Публікація A Program for Analyzing the Structure of a Web site Development Using the Parsing Method Based on the Python(Journal of Universal Science Research, 2024) Yevsieiev, V.; Maksymova, S.; Ahmad AlkhalailehThis article discusses the development of a program in Python to analyze the structure of a website using the parsing method. The work presents the developed algorithm for the program, describes the software and conducts experiments on web site parsing. The program's algorithm includes sending a GET request to a website, receiving and analyzing the HTML code of the page using the BeautifulSoup library. The find_all('a') method was used to analyze the website structure and extract link information. The obtained data was processed and displayed in a convenient format. It allows you to automate the process of analyzing the structure of a website, which can be useful for web developers, SEO specialists and web resource owners.Публікація Route constructing for a mobile robot based on the D-star algorithm(Technical science research in Uzbekistan, 2024) Yevsieiev, V.; Amer Abu-Jassar; Maksymova, S.; Ahmad AlkhalailehThis paper discusses the use of the D-star algorithm to construct an optimal route for a mobile robot in a space with obstacles. We present a mathematical description of the D-star algorithm operating principle, which is based on the idea of dynamic programming and step-by-step path cost updating. Based on this description, a Python program was developed that is capable of building a route for the robot, taking into account the situation around it. To test the efficiency and accuracy of the algorithm, a number of experiments were carried out on various test maps with different obstacle configurations. The results showed that the D-star algorithm demonstrates high efficiency and reliability in constructing the optimal route for a mobile robot under various conditions.Публікація The Lucas-Kanade method implementation for estimating the objects movement in the mobile robot’s workspace(2024) Maksymova, S.; Yevsieiev, V.; Ahmad AlkhalailehThis article presents the Lucas-Kanade method implementation for estimating the objects movement in the mobile robot’s workspace using the Python programming language. The Lucas-Kanade method is used to calculate optical flow from sequential images and allows the motion of objects to be estimated. The necessary mathematical expressions are considered. As part of the study, experiments were conducted with different lighting levels to evaluate the robotic ability of the method under changing lighting conditions.Публікація The Sobel algorithm implementation for detection an object contour in the mobile robot’s workspace in real time(Technical science research in Uzbekistan, 2024) Yevsieiev, V.; Maksymova, S.; Ahmad AlkhalailehThis article is devoted to the Sobel algorithm implementation for detection an object contour in the mobile robot’s workspace in real time. Mathematical models of the algorithm functioning were examined in detail, and the developed program in Python in the PyCharm environment was subjected to a series of experiments. The experimental results indicate the outstanding performance of the algorithm, reaching 30.00 frames per second when processing a video stream. However, the contouring speed of 1.19 frames per second indicates potential performa nce challenges when working in dark conditions using artificial side lighting. The research results presented in the article highlight the effectiveness of the algorithm in real -time conditions and highlight the importance of taking into account lighting features when using it in mobile robots.Публікація Web site reliability analysis using the python parsing method(Journal of Universal Science Research, 2024) Gurin, D.; Maksymova, S.; Yevsieiev, V.; Ahmad AlkhalailehThis article discusses methods for analyzing the reliability of a Web site using the parsing method based on the Python language. A generalized reliability analysis algorithm is presented that allows you to assess the quality and stability of the functioning of a website. The algorithm is based on parsing structural elements of the page, such as HTML tags, links , text blocks, and analysis of their state and contents. To implement the algorithm, a Python program was developed that is capable of automatically analyzing a selected website and identifying potential problems. The experiment showed the effectiveness and accuracy of the developed approach, which allows it to be used for systematic monitoring and increasing the reliability of websites.