Вісники НТУ "ХПІ"

Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/2494


З 1961 р. у ХПІ видається збірник наукових праць "Вісник Харківського політехнічного інституту".
Згідно до наказу ректора № 158-1 від 07.05.2001 року "Про упорядкування видання вісника НТУ "ХПІ", збірник був перейменований у Вісник Національного Технічного Університету "ХПІ".
Вісник Національного технічного університету "Харківський політехнічний інститут" включено до переліку спеціалізованих видань ВАК України і виходить по серіях, що відображають наукові напрямки діяльності вчених університету та потенційних здобувачів вчених ступенів та звань.
Зараз налічується 30 діючих тематичних редколегій. Вісник друкує статті як співробітників НТУ "ХПІ", так і статті авторів інших наукових закладів України та зарубіжжя, які представлені у даному розділі.

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2017 - 201912020 - 20211

Налаштування

Автор: search.filters.author.Kozulia, Mariia Mykhailovna

Результати пошуку

Зараз показуємо 1 - 2 з 2
  • Ескіз
    Документ
    Determine recommendation systems to search for books by preferences of web users
    (Національний технічний університет "Харківський політехнічний інститут", 2021) Kozulia, Mariia Mykhailovna; Sushko, Vladislava Vladimirovna
    Currently, the question of state, formation and development of the information source interaction system, the scientific interac tion and users' requests in certain fields of activity remains relevant under the conditions of the development of the use of Internet services. Recommendation systems are one of the types of artificial intelligence technologies for predicting parameters and capabilities. Due to the rapid increase in data on the Internet, it is becoming more difficult to find something really useful. And the recommendations offered by the service itself may not always correspond to the user's preferences. The relevance of the topic is to develop a personal recom mendation system for searching books, which will not only reduce time and amount of unnecessary information, but also meet the user's preferences based on the analysis of their assessments and be able to provide the necessary information at the right time. All this makes resources based on refer ral mechanisms attractive to the user. Such a system of recommendations will be of interest to producers and sellers of books, because it is an opportunity to provide personal recommendations to customers according to their preferences. The paper considers algorithms for providing recommender systems (collaborative and content filtering systems) and their disadvantages. Combinations of these algorithms using a hybrid algorithm are also described. It is proposed to use a method that combines several hybrids in one system and consists of two elements: switching and feature strengthening. This made it possible to avoid problems arising from the use of each of the algorithms separately. A literature web application was developed using Python using the Django and Bootstrap frameworks, as well as SQLite databases, and a system of recommendations was implemented to provide the most accurate suggestion. During the testing of the developed software, the wo rk of the literature service was checked, which calculates personal recommendations for users using the method of hybrid filtering. The recommendation system was tested successfully and showed high efficiency.
  • Ескіз
    Документ
    Integrated information system assessment of complex objects safety level
    (НТУ "ХПИ", 2017) Kozulia, Tetiana Volodimirovna; Kozulia, Mariia Mykhailovna
    The complex methodological approaches for solving problem tasks objects quality assessment are determined on the basis of system analysis means combination and of the information and software complex development of research data processing with use of modern mean knowledge providing. Methodological support is based on theoretical knowledge in field of information entropy theory, synergetic, knowledge-oriented databases development; information space of integrating entities unity principles. The scientific and practical foundations of methodological and informationalsupport for the determination of complex systems state assessment and their functional capabilities, safety level of the investigated objects, using of knowledge-oriented information systems for obtaining knowledge on the research objects results at level “state (system –environment) – change – process – system state”. The generalized algorithmic approach from complex system object analysis as integrity having its microstructure to which it is proposed to attribute not only component components and elements, but also processes of its functioning is developed. Practical implementation of the proposed informational and methodological approaches for complex systems study analysis on the entropy-information basis is shown on the results of quality and safety functioning assessment of natural-technological, ecological-economic systems, providing operational control and safety management of technological processes.