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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Methodical bases of information support for complex analysis of system objects difficult/weakly structured
(Premier Publishing s.r.o., 2020) Kozulia, Tatyana Vladimirovna; Kozulia, Maria Mikhailovna
The complex methodological approaches for solving problem tasks objects quality assessment are determined on the basis of system analysis means com-bination 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 enti-ties unity principles. The scientific and practical foundations of methodological and informational support 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 mi-crostructure 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.
Entropy-synergistic introduction as comprehensive research basis of complex objects state
(Національний науковий центр "Харківський фізико-технічний інститут", 2020) Kozulia, Tatyana Vladimirovna; Kozulia, Mariia Mykhailovna
The article deals with information support formation problem for comprehensive state assessment de nition of research various nature object as a result of establishing compliance with safety requirements. The factors state stabilization analysis methods system and stationary communication of the "environment { object" is proposed. On information-entropy changes assessment basis by results of cognitive analysis of graphological models of system objects, cause-effect relationships are established for the in uence manifestation between systems within object boundaries, external environment on object as a whole. Synergetics elements use for the essential mechanisms allocation in organizing order for selective instability and the regulation or arbitrary processes consolidation synchronization probabilistic manifestation in the interaction "environment { object" is proposed.
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.
Using graph-analytical methods modeling of system objects to determine integrated assessment of their state
(Національний науковий центр "Харківський фізико-технічний інститут", 2019) Kozulia, Tatyana Vladimirovna; Kozulia, Mariia Mykhailovna
In article is determined of object state in researching "system { environment" based on system analytic-graph model-ing for representation real relationships and relations between any systems in nature. Justi ed non-standard solution according to forecasting states and changes results in "system { environment" based on constructed cognitive models and entropy analysis for action direction sustainability and implemented situations assessment. Practical usage of systematic methodological support for complex objects comprehensive research based on graph models sequential analysis. To analyze physical processes displacements between simple ideal system components, which are sources of potential and kinetic energy, changes in its capacity through matter or energy accumulation, is used structural graph { physical processes topological model.
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.
Determining the object structure of ecological and economic research and knowledge base for decision support
(Національний науковий центр "Харківський фізико-технічний інститут", 2017) Kozulia, Tatyana Vladimirovna; Kozulia, Mariia Mykhailovna
The mathematical model of natural-technogenic objects is substantiated in the article. Natural-technogenic object of research is de ned in form of a system model, which includes the economic, ecological and social components and processes system occurring in the selected systems and in their interaction. Basis for introduction systematic analysis methods for consistent problematic environmental safety tasks solution under conditions of uncertainty has been formed. The complex methods system includes entropy theory provisions on the objects state evaluation, the comparator identi cation method, substantively substantiated for solving complex environment quality assessment problems. An example of ecological state technogenically loaded landscape-geochemical complexes on the proposed methodological support studied in the work.
Problems of elicitation and analysis of requirements to the program module of monitoring on the basis of the conditions of cognitive analysis
(НТУ "ХПІ", 2019) Kozulia, Tatyana Vladimirovna; Sviridova, Alyona Sergeevna; Kozulia, Maria Mikhailovna
There are risks of obtaining result that does not answer a work purpose statement when developing the software product for new subject area. It is necessary to pay attention on requirements to the software for elimination of such risks. This article is considering questions about collection and analysis requirements to a program module of sea water areas environmental monitoring. Program system "НДС Эколог" for ensuring continuous observation of sea water areas condition is noted by complex structure, high labor intensity of processing, storage and manipulations of data due to their significant amount. The software of this system makes a large-scale program complex for monitoring researches automation. However, according to the preliminary analysis of functionality "НДС Эколог" on quality control of dolphins living environment is not sufficient and need additional module development. Thus, the further development of this monitoring system is associated with the problem of elicitation and analyzing the requirements for the program module for calculating the coastal zones water resources quality. Elicitation requirements to additional program module is carried out on the basis of the standard documentation analysis, business processes of monitoring researches according to program engineering provisions. Identified Requirements are need check on integrity and lack of contradictions in their pithiness for further documenting according to the internatio nal recommendations standard about development of requirements specifications to the software IEEE STD 830 1993. To solve the problems of information support and software for integrated monitoring, a matrix of requirements was formed and cognitive modeling was applied. The requirements dependency matrix represents a simple and effective method of contradictions and overlappings identification, in case of simple systems consideration. Cognitive modeling promotes better understanding a problem situation, identification of contradictions and qualitative system analysis. The purpose of modeling consists in formation and specification of a studied object functioning hypothesis which consists of separate subsystems and elements. In this case, the system of requirements should reflect the causal relationships of object elements under study.