Кафедра системотехніки (СТ)

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  • Публікація
    Mathematical models for determining the pareto front for building technological processes options under the conditions of interval presentation of local criteria
    (ХНУРЕ, 2023) Beskorovainyi, V.; Kolesnyk, L.; Dr. Chinwi Mgbere
    The subject of research in the article is decision-making support processes in the tasks of optimizing technological processes (TP) at the stages of their design or reengineering. The goal of the work is to improve the efficiency of technologies of automated design of TP due to the development of mathematical models of the tasks of selecting subsets of effective design solutions with intervally specified characteristics of options. The following tasks have been solved in the article: review and analysis of the current state of the problem of supporting decision-making in the tasks of optimization of TP at the stages of their design or reengineering; decomposition of the problem of making project decisions; formalization of the task of comparing intervals for selection of Pareto fronts using comparison indices based on the generalized Hukuhari difference; development of a mathematical model of the problem for the method based on Carlin's lemma; development of a mathematical model of the problem for the method based on Hermeyer's theorem; determination of the Pareto front in the task of optimization of TP by the method of pairwise comparisons. The following methods were used: system approach, theories of systems, theories of usefulness, theories of decision-making, system design, optimization and operations research. Results. The place and connections of the problem of determining the Pareto front in the problem of making project decisions are determined. A formalized interval comparison procedure for the selection of Pareto fronts using Hukuhari total difference comparison indices. Mathematical models of the problem of selection of Pareto fronts using methods based on Carlin's lemma and Hermeyer's theorem have been developed for the case of interval publication with the value of local criteria. An example of the formation of the Pareto front in the problem of optimization of the technological process by the method of pairwise comparison according to the indicators of the duration of the technological cycle, reliability and specified costs is given. Conclusions. The proposed mathematical models expand the methodological bases of the automation of TP design processes. They make it possible to correctly reduce the set of alternative options for construction of TP for the final choice, taking into account the knowledge, experience of designers and factors that are difficult to formalize. The practical use of mathematical models will allow to increase the degree of automation of design or control processes, to reduce the time of decision-making in conditions of incomplete certainty of input data and to guarantee their quality by selecting them only from a subset of effective ones.
  • Публікація
    Determining preferences in recommender systems based on comparator identification technology
    (ХНУРЕ, 2022) Beskorovainyi, V.; Kolesnyk, L.; Alokhina, M.; Кosenko, V.
    The subject of research in the article is the process of ranking objects in the lists of recommender systems. The goal of the work is to increase the efficiency of recommender systems by improving the method of determining preferences between objects in lists using the theory of multi-criteria decision-making. The following tasks are solved in the article: review and analysis of the current state of the problem of identifying advantages between objects and their ranking in the lists of recommender systems; analysis of filtering methods used in recommendation systems; decomposition of the decision support problem for selection of objects; development of a combined method for ranking objects in the lists of recommender systems, combining the procedures for selecting a subset of Pareto-optimal objects, structural-parametric synthesis of a scalar multi-criteria estimation model, and evaluating the entire set of selected objects. The following methods are used: mathematical modeling, systems theory, utility theory, decision theory, optimization and operations research. Results. Based on the results of the analysis of the modern methodology for ranking objects in the lists of recommendation systems, the possibility of increasing their efficiency has been established. To take into account factors difficult to formalize, the knowledge and experience of users, it is proposed to implement the determination of preferences between objects using the theory of multi-criteria decision making. The problem of forming lists of recommendation systems is decomposed into the tasks of selecting a subset of Pareto-optimal objects, structural-parametric synthesis of a scalar multi-criteria estimation model, and evaluating a set of selected objects. A combined method for ranking options has been developed that combines the procedures of ordinalistic and cardinalistic ordering technologies and allows one to correctly reduce the subsets of objects included in the lists of recommendations. Conclusions. The developed method for determining preferences expands the methodological foundations for automating the development and operation of recommendation systems, other multi-criteria decision support systems, allows for the correct reduction of the set of non-dominated objects for the final choice, taking into account factors that are difficult to formalize, knowledge and user experience. The practical use of the obtained results due to more economical method of forming lists when adding new objects will allow to decrease the time and capacity complexity of the procedures for providing recommendations, and due to taking into account of set of weighted local indexes and allocation of set of non-dominated objects - to increase quality of given recommendations.
  • Публікація
    Formalization of the problem of transport logistics optimization networks at the stage of reengineering
    (ХНУРЕ, 2022) Beskorovainyi, V.; Kolesnyk, L.; Yevstrat, D.
    The subject of research in the article is the process of supporting decision-making in the tasks of optimizing closed logistics networks at the stage of reengineering. The goal of the work is to improve the efficiency of technologies for the automated design of closed logistics networks due to the improvement of mathematical models of multi-criteria problems of reengineering their topological structures. The following tasks are solved in the article: review and analysis of the current state of the problem of supporting decision-making in the tasks of optimizing logistics networks at the stage of their reengineering; decomposition of the problem of optimization of logistics networks at the main stages of their life cycles; selection of a logical scheme of the reengineering process of the logistics network as a territorially distributed object; development of a mathematical model of the general problem of multi-criteria optimization of logistics networks according to indicators of economy, efficiency, reliability and survivability; selection of models for scalar multi-criteria evaluation of reengineering options, taking into account factors that are difficult to formalize, knowledge and experience of the decision-maker. The following methods are used: system approach, theories of systems, theories of usefulness, theories of decision-making, system design, optimization and operations research. Results. Decomposition of the reengineering problem was carried out on the following tasks: determination of the purpose of reengineering and the principles of network reconstruction; network structure optimization; optimization of the topology of network elements; selection of functioning technology; determination of parameters of elements and vehicles; assessment and selection of the best network construction option. The general mathematical model of the multi-criteria task of reengineering the topological structures of centralized three-level logistics networks based on the indicators of costs, cargo delivery time, reliability and survivability has been improved. Universal functions of general utility and utility of local criteria are proposed to obtain scalar estimates for multiple indicators. Exclusion of part of local criteria and restrictions from the general model allows obtaining models of practically all interesting problems of optimization of logistics networks. Conclusions. The developed complex of mathematical models expands the methodological principles of automating the processes of designing logistics networks, allows for the correct reduction of a set of effective options for their construction for the final choice, taking into account factors that are difficult to formalize, the knowledge and experience of designers. The practical use of the proposed complex of mathematical models will reduce the time and capacity complexity of project decision-making support technologies, and due to the use of the proposed options selection procedures, increase their quality based on a number of functional and cost indicators.
  • Публікація
    Optimization of topological structures of centralized logistics networks in the process of reengineering
    (ХНУРЕ, 2021) Beskorovainyi, V.; Sudik, A.
    The subject of research in the article is the topological structures of closed logistics networks. The purpose of the work is to create a mathematical model and methods for solving problems of optimization of topological structures of centralized logistics networks in the process of reengineering, taking into account many topological and functional constraints. The article solves the following tasks:analysis of the current state of the problem of system optimization of logistics networks and methods of its solution; formalization of the problem of system optimization of logistics networks as territorially distributed objects; development of a mathematical model of the problem of optimization of centralized three-level topological structures of logistics networks at the stage of reengineering; development of a method for solving the problem of optimization of centralized three-level topological structures of logistics networks at the reengineering stage; estimation of time complexity of the method of optimization of centralized three-level topological structures of logistics networks. The following methods are used: methods of systems theory, methods of utility theory, optimization and operations research. The following results were obtained: analysis of the current state of the problem of system optimization of logistics networks and methods of its solution; the problem of system optimization of logistics networks as territorially distributed objects has been formalized; developed a mathematical model of the problem of reengineering three-level topological structures of logistics networks in terms of cost and efficiency for the case of combined production and processing points; methods of directed search of variants of construction of a logistic network which use procedures of coordinate optimization and modeling of evolution on the basis of genetic algorithm are developed; estimates of the accuracy and time complexity of optimization methods of centralized three-level topological structures of logistics networks are obtained. Conclusions: Based on the results of the study of methods for solving the problem, an approximation of their accuracy and time complexity was performed. In practice, this will allow you to choose a more efficient method for solving large-scale practical problems, based on the required accuracy, available computing and time resources. The method based on the coordinate optimization procedure has a significantly higher accuracy, but it is more complex from a computational point of view. The accuracy of the evolutionary method based on a genetic algorithm can be increased by increasing the number of iterations. The practical use of the proposed mathematical model and methods of reengineering the topological structures of centralized closed logistics systems by jointly solving problems for direct and reverse flows will reduce the cost of transport activities of companies.
  • Публікація
    Combined method of ranking options in project decision support systems
    (ХНУРЕ, 2020) Beskorovainyi, V.
    The subject of research in the article is the process of ranking options in project decision support systems. The goal of the work is to create a method for ranking options to improve the efficiency of decision support systems by coordinating the interaction between automatic and interactive procedures of computer-aided design systems. The following tasks are solved in the article: review and analysis of the current state of the problem of ranking options in design decision support systems; decomposition of the problem of project decision support; development of a combined method of ranking options, which combines the procedures of technologies of ordinalistic and cardinalistic ordering; development of a method of minimax selection of options from a set of effective for the procedure of expert evaluation. The following methods are used: systems theory, utility theory, optimization and operations research. Results. As a result of the analysis of the modern methodology of decision support, the existence of the problem of correct reduction of subsets of effective design options for ranking, taking into account factors that are difficult to formalize, knowledge and experience of the decision maker (DM), has been established. The decomposition of the problem of supporting the making of design decisions into the tasks of determining the goal of designing an object, forming a universal set of design decisions, identifying sets of admissible and effective decisions, ranking and choosing the best design option for decision makers has been performed. A combined method for ranking options has been developed, which combines the procedures of ordinalistic and cardinalistic ordering technologies and allows you to correctly reduce subsets of effective design solutions for ranking decision makers. A method of minimax selection of options from a set of effective ones for the expert evaluation procedure of decision makers has been developed, which allows improving the quality of the assessment. Conclusions. The developed method expands the methodological foundations of automation of processes for supporting multi-criteria design decisions, allows for the correct reduction of the set of effective alternatives for the final choice, taking into account factors that are difficult to formalize, knowledge and experience of decision makers. The practical use of the results obtained due to the proposed procedure for determining the set of effective solutions will reduce the time and capacitive complexity of decision support, and due to the use of the maximin procedure for selecting options in the synthesis of the estimation model – to improve the quality of design solutions.
  • Публікація
    Ядерна нечітка кластеризація потоків даних на основі ансамблю нейронних мереж
    (ХНУРЕ, 2018) Жернова, П. Є.; Бодянський, Є. В.
    Предметом дослідження в статті є кластерування даних на основі ансамблю нейронних мереж. Мета роботи - створення нового підходу в задачах кластерування потоків даних, коли інформація надходить в online режимі спостереження за спостереженням. У статті вирішуються наступні завдання: формування моделі ансамблів нейронних мереж для кластерування даних, розробка методів кластерування даних при роботі з даними великих розмірностей, розробка методів онлайн кластерування даних з використанням ансамблів нейронних мереж, які працюють у паралельному режимі. Отримані наступні результати: сформульовано принципи роботи ансамблів нейронних мереж Т. Кохонена, і визначені практичні вимоги для роботи з даними великої розмірності. Показані можливі підходи для вирішення перерахованих завдань. Досліджено принцип роботи ансамблю паралельно налаштованих кластерувальних мереж Т. Кохонена. Для навчання шарів ансамблю нейронних мереж використовувалися процедури, які працюють за принципом WTA і WTM. Були використані радіально-базисні функції для підвищення розмірностей вхідного простору. Розроблено математичну модель для вирішення задачі кластерування даних в online режимі. Розроблено математичну модель для визначення якості кластерування з використанням індексу Девіса-Булдена, який був переформульований для online режиму. Висновки: В роботі запропоновано новий підхід до завдання кластерування потоків даних, коли інформація надходить в online режимі спостереження за спостереженням за умов, що кількість і форма кластерів заздалегідь невідома. Основна ідея підходу базується на ансамблі нейронних мереж, який складається з самоорганізованих мап Кохонена. Всі члени ансамблю обробляють інформацію, яка послідовно подається в систему в паралельному режимі. Експериментальні результати підтвердили той факт, що система може бути використана для вирішення широкого кола завдань Data Stream Mining.
  • Публікація
    Проблемы оценки стоимости малого предприятия
    (ХНУРЭ, 2015) Иоселева, К. Ю.
    Background research is determined by the fact that in current conditions worsened the problem of "survival" of the enterprises due to increased competition, especially in those areas where there is a high variability of the technological and organizational conditions for doing business, particularly - in infocommunications.
  • Публікація
    Mathematical model of multicriteria optimization for project of reengineering large-scale monitoring systems
    (ХНУРЭ, 2015) Bezkorovainyi, V. V.; Podoliaka, K. E.
    The analysis of modern projects and publications devoted to the design of largescale monitoring systems provided an opportunity to identify a set of indicators which impact the structural and topological characteristics of this class of systems. It has been proposed objectives for optimization, which take into account cost, reliability, operativeness, survivability and can improve the efficiency of the results of the solution of practical problems of reengineering.
  • Публікація
    Методика управління взаємовідносинами з стейкхолдерами як етап системи економічної безпеки підприємства
    (ХНУРЭ, 2014) Ковалевська, А. В.; Кусік, Н. Л.
    In work importance of inclusion in process of formation of system of economic safety of the enterprise of a stage of management by stakeholders is shown. Such actions are directed on harmonization of interests of the enterprise with the most significant social groups and economic partners. Increase of level of coherence of interests is the real tool to providing high level of economic safety
  • Публікація
    Parametric Identification of Utility Functions in Multicriterion Task Model Models
    (ХНУРЕ, 2018) Beskorovainyi, V.; Draz, O.; Yanush, V.
    For models of multicriteria estimation of design and management decisions based on the Kolmogorov-Gabor polynomial, a modification of the function of the utility of variants by partial criteria is proposed. The mathematical model of the problem of parametric synthesis of known utility functions is formulated, the method of its solution is proposed, and estimates of their accuracy are obtained. It is established that the highest accuracy of approximation of DM estimates has been proposed modification of the utility function of partial criteria. Для моделей багатокритеріального оцінювання проектних і управлінських рішень, що побудовані на основі полінома Колмогорова-Габора, запропонована модифікація функції корисності варіантів за частковими критеріями. Сформульована математична модель задачі параметричного синтезу відомих функцій корисності, запропоновано метод її розв’язання та отримано оцінки їх точності. Встановлено, що найвищу точність апроксимації оцінок ОПР має запропонована модифікація функції корисності часткових критеріїв.
  • Публікація
    Метод решения задачи балансной компоновки
    (ХНУРЕ, 2018) Гребенник, И.; Коваленко, А.; Романова, Т.; Шеховцов, С.
    Рассматривается задача балансной компоновки заданного множества 3D-объектов в контейнере, разделенном горизонтальными стеллажами на подконтейнеры. Строится математическая модель с использованием метода phi-функций. Предлагается эффективный метод решения The problem of the balanced layout of a given set of 3D objects in a container divided by horizontal shelves into subcontainers is considered. A mathematical model is constructed, using the phi-function technique. An efficient solution algorithm is proposed.
  • Публікація
    Визначення емоційного фону зображення
    (ХНУРЕ, 2018) Губаренко, Є.; Вакулекно, В.
    Пропонується метод визначення емоційного фону картинки, для отримання додаткової інформацію та прийняття більш ефективного і збалансованого рішення. Зазначені етапи методу з коротким описом основних характеристик та результатів. The method of determining the emotional background of the picture, for obtaining additional information and making a more effective and balanced solution is proposed The indicated stages of the method with a brief description of the main characteristics and results.
  • Публікація
    Оптимізація мереж ланцюжків поставок у системах екологічної логістики
    (ХНУРЕ, 2018) Безкоровайний, В.; Мальцева, С.; Колодяжний, О.
    З урахуванням взаємозв'язку задач структурної, топологічної, параметричної та технологічної оптимізації виконані формалізація опису та цілей створення систем екологічної логістики, що відображають показники їх ефекту і витрат ресурсів на їх створення й експлуатацію. Декомпозиція проблеми системної оптимізації дозволила виділити задачі їх аналізу і синтезу, які вирішуються за множиною показників в умовах неповної визначеності цілей і даних. З урахуванням взаємозв'язку виділених задач за вхідними і вихідними даними запропоновано метод спрямованого перебору для оптимізації мереж ланцюжків поставок у централізованих системах екологічної логістики з реверсивними потоками. Taking into account the interconnection of the tasks of structural, topological, parametric and technological optimization, the formalization of the description and objectives of the creation of systems of ecological logistics, reflecting the indicators of their effect and the cost of resources for their creation and operation. Decomposition of the problem of system optimization allowed to highlight the problems of their analysis and synthesis, which are solved by a set of indicators in conditions of incomplete certainty of goals and data. Taking into account the interrelation of the selected tasks with input and output data, the method of directed selection is proposed for optimization of supply chain networks in centralized systems of ecological logistics with reversal flows
  • Публікація
    Чому Unity один з найкращих двигунів для розробки ігор
    (ХНУРЕ, 2023) Фісенко, А. О.
    This work reveals the importance of using a game engine in the process of game development. There were considered currently leading engines, Unity and Unreal Engine 4. Their advantages and disadvantages were highlighted. It was concluded that Unity is more suitable for mobile games and for development in small teams. This game engine is also highly customizable and flexible, which allows developers to create unique games with a variety of features and mechanics. Unity also has a large community of developers who share tips, tutorials, and assets, which can help beginners get started and experienced developers save time. Overall, the choice of game engine will depend on the specific needs of the project and the experience of the development team.
  • Публікація
    Розробка елементів інформаційної системи обліку доставки тропічних фруктів
    (ХНУРЕ, 2023) Горбатенко, М. С.
    The main goal of developing a tropical fruit shop system is the ability to order selected products online, arrange delivery and create an active customer base. The latter will increase profits and maintain a stable level of sales income. To achieve this goal, a store database was created that stores information about customers and their orders. A user interface has also been implemented for convenient viewing of products by the client and the use of online services
  • Публікація
    Вибір технологій доступу до даних у веб застосунку
    (ХНУРЕ, 2023) Тетеря, В. В.
    This work is devoted to the development, storage, processing of large amount of data. MS SQL Server is a system of administrating of databases. It’s a very popular system for creating databases and using them in web-projects. It offers robust features for data storage, retrieval, and management. MS SQL Server is widely used in enterprise-level applications due to its scalability, reliability, and high availability. MS SQL Server also offers integration with various Microsoft applications and supports cloud-based deployment options. Overall, MS SQL Server is a top choice for organizations that require a reliable and efficient database management system.
  • Публікація
    Підсистема управління заявками абітурієнтів до університету
    (ХНУРЕ, 2023) Боцюра, А. С.
    The process of joining the university can be stressful and take a lot of time, both from students and from university supporters. The elements of the system allow the applicant to be more informed about the choice of the educational program
  • Публікація
    Дослідження користі використання віртуальної реальності в онлайн-навчанні студентів
    (ХНУРЕ, 2023) Вихрист, О. В.
    Education is the foundation of society, and technological advancements are rapidly transforming the way we learn. One of the most promising technologies in this regard is virtual reality, which has the potential to revolutionize the way students learn and engage with educational content. By creating immersive and interactive learning experiences, VR can help students develop a deeper understanding of complex concepts and enhance their critical thinking skills. VR can also provide students with opportunities to explore and interact with environments that would otherwise be impossible or unsafe to experience in the real world. It is likely that VR will become an increasingly valuable tool in education
  • Публікація
    Web 2.0 та його вплив на розробку програмного забезпечення
    (ХНУРЕ, 2023) Вихрист, О. В.
    This work provides an overview of the evolution of the World Wide Web from static web pages to the dynamic Web 2.0 platform and its impact on software development. It describes key features of Web 2.0, such as user generated content, social networking, and collaboration, and how they have changed the way information is created and shared online. The text also highlights the challenges and opportunities that Web 2.0 has created for software engineers, including the need to adapt to changing user needs and the emergence of new technologies such as cloud computing and mobile devices.
  • Публікація
    Розробка компонентів crm системи для дрібної мобільної торгівлі
    (ХНУРЕ, 2023) Кузьмін, А. А.
    This work is devoted to CRM system components for small mobile commerce. The problems of lack of access to effective tools for managing interaction with customers in DMT enterprises are investigated. To solve this problem, research was conducted and components of the CRM system were developed, which allow automating and optimizing business processes related to the management of interaction with customers. The work describes the research methods that were used to develop the components of the CRM system, and the results of the research are presented. The developed components include modules for customer database management, sales, marketing and reporting, and have been tested in practice in real conditions