Перегляд за автором "Yerokhin, A."

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  • Зображення мініатюри
    Публікація
    Adaptive Decision-making for Robotic tasks
    (2019) Tsymbal, O.; Bronnikov, A.; Yerokhin, A.
    There is proposed the analysis of decisionmaking problem in its application for flexible integrated robotic systems. The intelligent systems in form of problemsolving components are considered as key component of automated control systems. There is observed the proposed concept of adaptive decision-maling for flexible robotic systems, based on a set of models and methods of adaptive decision-making, data science methods.
  • Зображення мініатюри
    Публікація
    Geoscience Laser Altimeter System sparse ICESat data processing based on F-transform
    (2019) Yerokhin, A.; Babii, A.; Turuta, O.
    In the paper, we present the 3D filtering method of surface approximation based on FT-smoothing proposed to estimate glacier thickness change. Our method based on ICESat/GLAS Altimetry Data and SRTM-DEM Data. Processed data of satellite measurements at the coordinate surface usually placed sparsely, collected in “Satellite track”. For interpolation, we are using 2D membership function. This approach is kind of a generalization of the single-dimension method. The result provides estimated by RMSE, we have managed a number of fuzzy components for improving RMSE.
  • Зображення мініатюри
    Публікація
    Information model for heat and mass transfer processes evaluation
    (2019) Yerokhin, A.; Zatserklyanyi, H.; Babii, A.; Turuta, O.; Zolotukhin, O.
    Розглянуто проблему вибору моделі і методу оцінювання теплопровідності, конвективного і радіаційного теплообміну. Обрано структурну схему взаємопов'язаного та взаємозалежного процесу тепломасопереносу. Реалізовано і апробовано інформаційну модель для оцінювання взаємопов'язаного процесу тепломасопереносу і реалізації його програми. The problem of choosing the model and method of estimation of thermal conductivity, convective and radiation heat exchange is considered. The structural scheme of the interconnected and interdependent process of heat and mass transfer is selected. An information model has been implemented and tested to evaluate the interconnected process of heat and mass transfer and its program implementation.
  • Зображення мініатюри
    Публікація
    Personalized Adaptation of Learning Environments
    (2019) Filatov, V.; Yerokhin, A.; Zolotukhin, O.; Kudryavtseva, M.
    This work is devoted to the development of personalized training systems. A major problem in learning environmens is applying the same approach to all students: teaching materials, time for their mastering, and a training program that is designed in the same way for everyone. Although, each student is individual has his own skills, ability to assimilate the material, his preferences and other. Recently, recommendation systems, of which the system of personalized learning is a part, have become widespread in the learning environment. On the one hand, this shift is due to mathematical approaches, such as machine learning and data mining, that are used in such systems while, on the other hand, the requirements of technological standards "validated" by the World Wide Web Consortium (W3C). According to this symbiosis of mathematical methods and advanced technologies, it is possible to implement a system that has several advantages: identifying current skill levels, building individual learning trajectories, tracking progress, and recommending relevant learning material. The conducted research demonstrates how to make learning environment more adaptive to the users according to their knowledge base, behavior, preferences, and abilities. In this research, a model of a learning ecosystem based on the knowledge and skills annotations is presented. This model is a general model of the all life learning. Second, this thesis focuses on the creation of tools for personalized assessment, recommendation, and advising.