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Просмотр 2024, Vol. 7, № 1 по названию

Просмотр 2024, Vol. 7, № 1 по названию

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  • Comparison of incremental encoder digital signal processing techniques for the induction motor flux-torque vector control systems 
    Kovbasa, Serhii Mykolaiovych; Ковбаса, Сергій Миколайович; Krasnoshapka, Nataliia Dmytrivna; Красношапка, Наталія Дмитрівна; Kolomiichuk, Yevhenii Viktorovych; Коломійчук, Євгеній Вікторович; Kholosha, Anton Oleksiyovych; Холоша, Антон Олексійович (Odessа Polytechnic National University, 2024-04-03)
    The article presents the results of a study on the effectiveness of various techniques for synchronous reference frame angular position numerical calculation in flux-torque vector control system of induction motor. ...
  • The genetic algorithm for transition from high to fractional order controllers of a two-mass positional electromechanical system 
    Kopchak, Bohdan Liubomyrovych; Копчак, Богдан Любомирович; Kushnir, Andrii Petrovych; Кушнір, Андрій Петрович; Kushka, Andriy Ivanovych; Кушка, Андрій Іванович (2024-04-03)
    A new original approach to the synthesis of the loops of automatic control systems of two-mass positional electromechanical systems is proposed in the article based on the application of the generalized characteristic ...
  • Methods of preference aggregation in group recommender systems 
    Gorbatenko, Anastasiia A.; Горбатенко, Анастасія Артурівна; Hodovychenko, Mykola A.; Годовиченко, Микола Анатолійович (Odessа Polytechnic National University, 2024-04-03)
    The rapid growth of data volumes has led to information overload, which impedes informed decision-making. To solve this problem, recommender systems have emerged that analyze user preferences and offer relevant products ...
  • Modeling nonlinear dynamic objects using pre-trained time delay neural networks 
    Fomin, Oleksandr O.; Фомін, Олександр Олексійович; Orlov, Andrii A.; Орлов, Андрій Андрійович (Odessа Polytechnic National University, 2024-04-03)
    The work is devoted to resolving the contradiction between the accuracy of modelling nonlinear dynamics and the speed of model construction under conditions of limited computing resources. The purpose of the work is to ...
  • On evaluation of reliability increase in fault-tolerant multiprocessor systems 
    Romankevich, Vitaliy A.; Романкевич, Віталій Олексійович; Morozov, Kostiantyn V.; Морозов, Костянтин В’ячеславович; Feseniuk, Andrii P.; Фесенюк, Андрій Петрович; Romankevich, Alexei M.; Романкевич, Олексій Михайлович; Zacharioudakis, Lefteris; Захаріудакіс, Лефтеріс (Odessа Polytechnic National University, 2024-04-03)
    The work is devoted to the problem of evaluating the reliability increase of a fault-tolerant multiprocessor system by adding an extra processor to the system. It is assumed that the behavior of the modified system in the ...
  • Video fragment processing by Ky Fan norm 
    Mashtalir, Sergii Volodymyrovych; Машталір, Сергій Володимирович; Lendel, Dmytro P.; Лендьел, Дмитро Павлович (Odessа Polytechnic National University, 2024-04-03)
    In this study, we focused on the formalization of video frame descriptions in the context of solving video segmentation problem. Since native video data can have various sizes, dividing each frame into blocks allows present ...
  • Xception transfer learning with early stopping for facial age estimation 
    Polyakova, Marina V.; Полякова, Марина Вячеславівна; Rogachko, Vladyslav V.; Рогачко, Владислав Володимирович; Nesteriuk, Oleksandr H.; Нестерюк, Олександр Геннадійович; Huliaieva, Natalia A.; Гуляєва, Наталя Анатоліївна (Odessа Polytechnic National University, 2024-04-03)
    The rapid development of deep learning attracts more attention to the analysis of person's face images. Deep learning methods of facial age estimation are more effective compared to methods based on anthropometric models, ...