Перегляд за автором "Zolotukhin, O."

Зараз показано 1 - 3 з 3
  • 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.
  • Зображення мініатюри
    Публікація
    Synthesis of Semantic Model of Subject Area at Integration of Relational Databases
    (2019) Filatov, V.; Semenets, V.; Zolotukhin, O.
    The article considers the problem of synthesizing a semantic model of the subject area at integration of heterogeneous information resources. In this case, emphasis is placed on ensuring the universality of the means of description, without regard to artificial limitations on the data typification and categorization. Two types of logical existence rules are introduced: functional and structural ones, which allow analyzing not only explicitly defined, but also logically deducible information objects, that is, determining the boundary of the subject area. Information about all possible information objects of the subject area makes it possible to determine the area of intersection of the integrable data semantics.