2024

Постійне посилання на фонд

https://ela.kpi.ua/handle/123456789/66591

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Перегляд 2024 за Ключові слова "004.42"

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  • Ескіз
    ДокументВідкритий доступ
    Modern technologies for hiding people's faces using object tracking based on YOLOv5 and deepsort
    (КПІ ім. Ігоря Сікорського, 2024) Shchur, А.; Polshakova, O.
    The object of study is a system for automated blurring of human faces in video. This article provides a detailed overview of modern technologies and principles of tracking objects in video with assigning them unique elements. Since most video editors still leave most of the work to the user, it was decided to optimize this process. The aim of this work is to reduce the time spent on the process of hiding human faces in video files. To achieve this goal, it is proposed to use a modern detector - the YOLO convolutional neural network and the DeepSORT object tracking algorithm, which uses classical approaches to filtering input data and predicting the position of an object in space, as well as a modern neural network capable of distinguishing between people's faces. As a result of this work, among free analogues on the Internet, the acceleration of face blurring was achieved up to 20%, which is a pretty good result.
  • Ескіз
    ДокументВідкритий доступ
    Usage of a transactional clock in a distributed financial operations support system to speed up the data reconciliation process
    (КПІ ім. Ігоря Сікорського, 2024) Mulish, V.; Krylov, Y.; Nikitin, V.; Anikin, V.
    for many systems, especially financial systems, data consistency and the time it takes for data to become consistent play a critical role in the functioning of the entire system. Therefore, in this article, as one of the ways to speed up the process of data reconciliation, the use of a transactional clock will be considered and verified.