Системні технології (ІПБТ)

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Browsing Системні технології (ІПБТ) by Author "Hnatushenko, Volodymyr V."

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    Information Technology for Detecting Forest Fire Contours Using Optical Satellite Data
    (Український державний університет науки і технологій, ННІ ≪Інститут промислових та бізнес технологій≫, ІВК ≪Системні технології≫, Дніпро, 2023) Kashtan, Vita; Hnatushenko, Volodymyr V.
    ENG: The number of forest fires has increased significantly over the past ten years. It indicates that forest area estimates fires are a very urgent task today. The use of satellite-based data simplifies the process of assessing forest fires. The aim is to develop an information technology for automated forest fire contours detection on digital optical satellite datas in conditions of non-stationarity and uncertainty based on convolutional neural networks. The most popular tools for forest fire analysis are considered. This work proposed using hotspots to identify all fire and smoke pixels for automated forest fire contour detection. It made it possible to obtain contour polygons of the corresponding areas with various attributes: position, size, etc. The results are tested on Sentinel 2 satellite images of the Бvila region. The proposed method has an overall accuracy of 94.3% for the selection of forest fires.
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    The Use of Generative Artificial Intelligence in Software Testing
    (Український державний університет науки і технологій, ННІ ≪Інститут промислових та бізнес технологій≫, ІВК ≪Системні технології≫, Дніпро, 2024) Hnatushenko, Volodymyr V.; Pavlenko Iegor V.
    ENG: This article explores the potential of using generative artificial intelligence (AI) for software testing, reflecting on both the advantages and potential drawbacks of this emerging technology. Considering the vital role of rigorous testing in software production, the authors ponder whether generative AI could make the testing process more efficient and comprehensive, without the need to increase resources. The article delves into the current limitations of this technology, emphasizing the need for continuous exploration and adaptation. It concludes with a summation of potential innovative solutions and avenues for future investigation. The paper encourages discussions surrounding the question of fully automated testing and the role of human specialists in the future of QA. It ultimately provides a thought-provoking reflection on the intersection of emerging technologies, and their societal impacts.