Кафедра "Програмна інженерія та інтелектуальні технології управління ім. А. В. Дабагяна"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/1665

Офіційний сайт кафедри http://web.kpi.kharkov.ua/asu

Від січня 2022 року кафедра має назву "Програмна інженерія та інтелектуальні технології управління ім. А. В. ДАБАГЯНА" (тоді ж, у січні 2022 року в окремий підрозділ виділилася кафедра "Інформаційні системи та технології"), попередні назви – "Програмна інженерія та інформаційні технології управління" (від 2015), "Автоматизовані системи управління" (від 1977); первісна назва – кафедра автоматичного управління рухом.

Кафедра автоматичного управління рухом заснована в 1964 році задля підготовки інженерів-дослідників у галузі автоматичного управління рухом з ініціативи професора Харківського політехнічного інституту Арега Вагаршаковича Дабагяна та генерального конструктора КБ "Електроприладобудування" Володимира Григоровича Сергєєва.

Кафедра входить до складу Навчально-наукового інституту комп'ютерних наук та інформаційних технологій Національного технічного університету "Харківський політехнічний інститут".

У складі науково-педагогічного колективу кафедри працюють: 4 доктора технічних наук; 24 кандидата наук: 22 – технічних, 1 – фізико-математичних, 1 – економічних, 1 – доктор філософії; 3 співробітників мають звання професора, 19 – доцента, 1 – старшого наукового співробітника.

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  • Ескіз
    Документ
    Comprehensive study of the systemic formation "object–environment" safety state
    (Національний університет цивільного захисту України, 2020) Kozulia, Tatyana Vladimirovna; Kozulia, Mariia Mykhailovna; Didmanidze, I.
    The article deals with topical issues of ecological assessment of natural-technogenic study objects state, taking into account its interaction with the surrounding environmental systems and the necessary internal mechanisms to regulate these influences in order to maintain app ropriate equilibrium and stationarity regarding the dynamics of such interactions. Attention is paid to research into environmental safety as a major component of human safety and the pledge of human health, in providing a sound solution to human health and environmental issues. The main tendencies in the formation of system objects view «natural-technogenic system–environment» are considered. Priorities have been given to create a comprehensive framework for the study of such systems. The benefits of the cooperative methodology for assessing the state «system–environment» are substantiated. It is suggested to use entropy function for estimation of state conformity and complex systems functionality with requirements of equilibrium «system–environment», usage of theoretical base of structural matrices for solving problems of complex systems (system objects) modelling for their state assessment and functional correspondences, software of implementation such assessment according to the methodological foundations of these a pproaches. The advantages of these methods in the study of complex objects from the standpoint of their versatility and the possibilities of using them in creating the necessary knowledge base and obtaining complex models of system objects and working with them to identify the evaluation characteristics of the state and development tendencies of interacting with the environment systems are shown. The practical application results of the proposed solutions to the safety issues for the system objects «organism–environment» are given in the example of the relation between the brain work and the environment properties. The gradual estimation algorithm of target systems ecological state of and their interactions with environment by entropy function is presented, which allows to correlate states and processes.
  • Ескіз
    Документ
    Corporate knowledge base and scientific approaches to security research of naturally-technogenic objects state
    (Національний університет цивільного захисту України, 2019) Kozulia, Tatyana Vladimirovna; Kozulia, Mariia Mykhailovna
    The article deals with topical issues of knowledge system implementation in research, enterprises work, IT companies as a base for decision making on certain innovative issues. Attention is paid to environmental security research as a major component of national security and providing a sound solution to human and environmental (E) health tasks. The basic tendencies in the knowledge-oriented databases formation as knowledge bases for scientific research of system objects of the type "natural-technogenic system – environment" are considered. Priorities are given in corporate knowledge bases creation, which is the base for conducting complex studies of complex systems and obtaining new knowledge. The scientific basis for methodological support creation in comprehensive study of system objects has been determined. The benefits of cooperative methodology for assessing the state "system – environment" are substantiated. It is suggested to use cognitive and entropy approach for state conformity estimation and complex systems functionality with knowledge about requirements of equilibrium "system – environment", use of theoretical base and knowledge of named approaches for solving problems of complex systems (system objects) modeling for their state and functional correspondence estimation, software for implementation of such assessment in accordance with the methodological foundations of these approaches. The advantages of these methods in the study of complex objects from the standpoint of their versatility and the possibilities of using in creating the necessary knowledge base and obtaining complex mod els of system objects and working with them to identify the estimation state characteristics and development tendencies of interacting with the environment systems are shown. Practical application results of the proposed solutions to the security for system objects "system – environment" on the example of a technological solution for the protection of the environment from man-made slurry contamination, showing the universal ability of developed methodological support for the study of complex structured systems is given.