Control, Navigation and Communication Systems. Academic Journal
Journal represent the research results on the development and improvement of control, navigation and communication systems in various areas
Національний університет «Полтавська політехніка імені Юрія Кондратюка»
LOCAL RECONFIGURATION OF 5G NETWORK SLICES UNDER NODE FAILURES AND OVERLOADS
Relevance. The rapid deployment of 5G networks and the widespread use of network slicing create new challenges for ensuring service reliability and resilience. Virtualized infrastructures based on Network Functions Virtualization increase flexibility but also introduce higher failure rates and performance variability. In such environments, centralized recovery mechanisms often fail to meet strict latency requirements, especially for ultra-reliable low-latency communication services. Research object: The research object is the process of failure recovery and resource reconfiguration in virtualized 5G network slicing environments under node failures and progressive overload conditions. Purpose: The purpose of the study is to develop an efficient distributed method for local reconfiguration of network slices that enables rapid recovery of virtual network functions while considering slice priorities, migration costs, and latency constraints. Results. A distributed local reconfiguration (DLR) framework is proposed, based on a hierarchical architecture consisting of a global orchestrator, regional slice managers, and local monitoring agents. The approach introduces a multi-objective optimization model for slice manager placement and a unified migration cost function that considers computational, network, disruption, and SLA penalty components. Localized recovery algorithms are developed to handle both catastrophic node failures and progressive overload scenarios while prioritizing slices according to their service requirements. Conclusions. The proposed distributed slice recovery framework enables fast and scalable reconfiguration of 5G network slices under failure conditions. By combining slice-aware prioritization, cost-aware migration decisions, and localized management, the approach improves recovery speed and operational efficiency while preserving service quality for latency-critical applications.
Communication, telecommunications and radio engineering
Copyright (c) 2026 Svitlana Sulima http://creativecommons.org/licenses/by-nc/4.0
БАГАТОРІВНЕВА ФУНКЦІОНАЛЬНА МОДЕЛЬ ПОКАЗНИКІВ ЕФЕКТИВНОСТІ СИСТЕМИ МНОЖИННОГО ДОСТУПУ З КОДОВИМ РОЗДІЛЕННЯМ
Актуальність. Для оцінювання ефективності системи множинного доступу з кодовим розділенням, зокрема на основі ансамблів різноенергетичних складних сигналів, необхідна узагальнена модель, яка впорядковує рівневі показники ефективності та задає функціональні зв’язки між ними. Об’єкт дослідження: показники ефективності та функціональні зв’язки між ними в системі множинного доступу з кодовим розділенням. Мета статті: розробити багаторівневу функціональну модель показників ефективності системи множинного доступу з кодовим розділенням на основі апарату системного та функціонального аналізу та показати можливість одержання узагальненої оцінки ефективності системи множинного доступу з кодовим розділенням. Результати дослідження. Розроблено багаторівневу функціональну модель показників ефективності системи множинного доступу з кодовим розділенням, яка визначає правила функціонально-рівневої декомпозиції. У межах моделі показники впорядковуються за ступенем узагальнення оцінок ефективності, кожному ступеню узагальнення відповідає рівень моделі, а зв’язки між показниками визначаються функціоналами відповідних рівнів. Кожен рівень моделі формує одну числову оцінку ефективності, а за наявності кількох функціоналів у межах одного рівня показник ефективності цього рівня визначається їх композицією. Висновки. Запропоновано варіант рівневої будови моделі з виділенням енергетичного, структурного, потужнісно-канального та системного рівнів. Енергетичний рівень пов’язано з показником енергетичної справедливості, структурний рівень - з показником структурної ефективності, потужнісно-канальний рівень - з відношенням енергії корисного сигналу до сумарної енергії завад множинного доступу та шуму, а системний рівень - з узагальненим показником ефективності системи.
Copyright (c) 2026 Volodymyr Lysechko, Karyna Trubchaninova, Oleksandr Zhuchenko, Halyna Shubina http://creativecommons.org/licenses/by-nc/4.0
МАРКІВСЬКА МОДЕЛЬ ОПТИМІЗАЦІЇ РОЗПОДІЛУ СПЕКТРА У КОГНІТИВНИХ РАДІОМЕРЕЖАХ
Актуальність. В сучасних бездротових телекомунікаційних системах стрімко зростають обсяги трафіку та виникає дефіцит радіочастотного спектра, особливо в діапазонах нижче 6 ГГц. Статичні моделі розподілу частотних ресурсів призводять до неефективного використання спектра. Вони не відповідають вимогам високодинамічних мереж 5G/6G та систем IoT. Когнітивні радіомережі забезпечують динамічний доступ вторинних користувачів до вільних частотних каналів. Проте ефективність такого доступу визначається коректністю, враховується стохастична поведінка первинних користувачів. Виникає необхідність розробки математично обґрунтованих моделей для оптимізації спектрального доступу, що базуються на основі ймовірнісних процесів. Об’єкт дослідження: процеси управління розподілом спектра у когнітивних радіомережах з випадковою появою та зникненням первинних користувачів. Мета статті: розробка та дослідження марковської моделі оптимізації спектрального доступу, що основана на процесі прийняття рішень Маркова (MDP). Вона забезпечує збільшення ефективності використання спектра при зменшенні інтерференції з первинними системами. Результати дослідження. У статті представлено формалізовану модель управління спектром у вигляді MDP. Модель враховує переходи між станами зайнятості каналів та багатоканальну структуру радіосередовища. Враховані також інтенсивності зміни станів, параметри SINR і характеристики радіоканалу. Оптимальна політика доступу визначається функцією винагороди, яка балансує між покращенням спектральної ефективності та зменшенням ризику конфлікту з первинним користувачем. Результати моделювання показали приріст ефективності використання спектра на 13–15% у порівнянні з базовими підходами. Зменшення частоти конфліктів не перевищує 1,8% та збільшення середньої пропускної здатності вторинного користувача на 15–25%. Отримані характеристики залишаються постійними у широкому діапазоні інтенсивностей появи та зникнення первинних користувачів, що свідчить про адаптивність моделі. Висновки. Продемонстровано, що використання марковських процесів прийняття рішень дозволяє досягти оптимального балансу між ефективністю використання спектра та інтерференцією в когнітивних радіомережах. Запропонована система перевершує статичну та жадібну стратегії доступу. При цьому покращена спектральна продуктивність та стабільність роботи у динамічному радіосередовищі. Сфера використання отриманих результатів: когнітивні радіомережі, системи динамічного доступу до спектра, бездротові мережі 5G/6G, інфраструктури IoT, завдання оптимізації радіоресурсів, інтелектуальні алгоритми управління спектром.
Copyright (c) 2026 Yurii Merkulenko, Mykola Savchenko http://creativecommons.org/licenses/by-nc/4.0
ЗАСОБИ ПІДВИЩЕННЯ НАДІЙНОСТІ І ЕФЕКТИВНОСТІ СИСТЕМ ЕНЕРГОПОСТАЧАННЯ
Визначено перелік і вміст організаційно-технічних заходів для підвищення стабільності електропостачання регіону. Дослідження виконано на прикладі найбільш поширених електричних підстанцій 150/35/10 кВ. Визначено необхідність заміни штатного обладнання та обладнання, ушкодженого внаслідок терористичних атак. Розроблено однолінійні принципові схеми підстанцій для забезпечення резервного електроживлення споживачів. Частина електрообладнання, наприклад, трансформатори струму підлягають заміні для підвищення максимального навантаження та керування об’єктом у режимі реального часу. На електричних підстанціях напругами 150–10 кВ відсутній постійний персонал. Тому, для оперативного регулювання навантаження у випадках дисбалансів потоків енергії було впроваджено телекомунікаційне обладнання. Таке обладнання дозволяє оперативно вмикати та вимикати навантаження дистанційно. Це мінімізує ризики виходу з ладу енергетичного обладнання при виникненні нештатних ситуацій. Як частина комплексу заходів з відновлення та регулювання електропостачання запропоновано ремонт трансформаторів, на яких не виникли пожежі. Після фізичного усунення протічок трансформаторна олива піддається регенерації з використанням оригінальної дегазаційної установки. Такий процес дозволяє повторно використовувати трансформаторну оливу. Установка здійснює дегазацію, осушування й фільтрацію оливи. Процес безпечний для довкілля та відновлює діелектричні властивості, охолоджувальну здатність і текучість оливи. При цьому підвищується стабільність до окислення, викликаючи контакт з повітрям у процесі регенерації оливи. Наведені заходи певним чином підвищують стійкість системи електропостачання та підвищують її стабільність у випадках вимушених відключень для балансування об’єднаної енергетичної системи України.
Copyright (c) 2026 Nataliia Burdeina, Dmytro Osadchyi http://creativecommons.org/licenses/by-nc/4.0
ТЕОРЕТИЧНІ ТА ЕКСПЕРИМЕНТАЛЬНІ ПІДХОДИ ДО ЗАБЕЗПЕЧЕННЯ МІКРОКЛІМАТИЧНИХ ПАРАМЕТРІВ У ПРИМІЩЕННЯХ СПЕЦІАЛЬНОГО ПРИЗНАЧЕННЯ
На основі аналізу чинної нормативної бази та наукових досліджень встановлено що концептуальні підходи до забезпечення мікрокліматичних параметрів у приміщеннях спеціального призначення потребують доопрацювання. До таких приміщень належать приміщення диспетчеризації та управління й сховища цивільного захисту різних типів і конструкцій. Приміщення диспетчеризації містить велику кількість обладнання моніторингу і керування, а сховища можуть мати велике скупчення людей, що впливає на параметри середовища. У таких умовах генерується велика кількість аерозолей. Запропоновано простий у використанні розрахунок основних показників динаміки аерозолей у залежності від швидкості руху повітря, обумовленого вентиляцією. Визначено коефіцієнт релаксації частинок – час, за який вони набувають швидкості повітряного потоку. Розраховано стаціонарний показник осідання частинок. Надано значення цих показників для спектра розмірів аерозольних частинок. Показано, що за відсутності вентиляції або її малої продуктивності співвідношення температури та відносної вологості незадовільні. Запропоновано застосування ультразвукового іонізатора повітря. Експериментально визначено, що за використання ультразвукового організатора повітря нормалізуються концентрації аероіонів обох полярностей та відносна вологість повітря. При цьому за рахунок спрямованого руху повітря з нормативною швидкістю відбувається винос аерозолей, що утворюється внаслідок дихання і можуть містити хвороботворні бактерії. У реальних умовах потоки повітря можуть бути частково нестаціонарні. Це особливо стосується приміщень спеціального призначення зі складними системами природньої та примусової вентиляції. Показано, що в підвальних та напівпідвальних приміщеннях можливе накопичення радону. Визначення його присутності складне і потребує спеціального обладнання. Про його присутність може свідчити підвищена концентрація аероіонів, порівняно з концентраціями у зовнішньому повітрі. Забезпечення нормативних показників мікроклімату у приміщеннях спеціального призначення комплексна задача. Її вирішення залежить від різних додаткових чинників впливу – електростатичних магнітних полів, деіонізації повітря у каналах вентиляції тощо. Тому на стадії проєктування організаційно-технічних заходів щодо забезпечення необхідних параметрів необхідним є моніторинг вихідних умов у конкретних приміщеннях, визначення переліку основного обладнання, яке експлуатується у таких приміщеннях й оціночне визначення прогнозованих умов перебування людей.
Copyright (c) 2026 Valentyn Glyva, Yaroslav Halonko http://creativecommons.org/licenses/by-nc/4.0
КЛАСТЕРНИЙ ПІДХІД ДО ОЦІНЮВАННЯ ПОЖЕЖНИХ РИЗИКІВ У КАР’ЄРАХ ГРАНІТНОГО ВИДОБУТКУ В СИСТЕМІ ЦИВІЛЬНОЇ БЕЗПЕКИ
Актуальність. Гірничодобувна промисловість посідає важливе місце у структурі української економіки, а пожежні ризики у кар’єрах мають комплексний і складний характер. Об’єкт дослідження: кластерний підхід до оцінювання пожежних ризиків у кар’єрах гранітного видобутку в системі цивільної безпеки. Мета статті: розробка методики комплексної оцінки ризиків на основі ймовірнісних, наслідкових й оперативних показників із подальшою кластеризацією зон ризику та просторовим відображенням за допомогою мапування. Результати дослідження. Наукова цінність роботи полягає у систематизації показників пожежного ризику, застосуванні сучасних статистичних методів і геоінформаційних технологій для інтегрованого аналізу, що дозволяє підвищити точність оцінювання та прогнозування небезпечних ситуацій. Практична цінність статті полягає у можливості використання розробленої методики для формування карт пожежної небезпеки, оптимізації розміщення пожежної техніки, планування заходів реагування та підвищення стійкості об’єктів до надзвичайних ситуацій. Висновки. Впровадження кластерного підходу та мапування дозволяє підвищити ефективність управління пожежною безпекою, скоротити час реагування та зменшити соціально-економічні втрати.
Copyright (c) 2026 Olha Chencheva, Yevhenii Lashko, Dmytro Rieznik http://creativecommons.org/licenses/by-nc/4.0
ПОРІВНЯЛЬНЕ ДОСЛІДЖЕННЯ МЕТОДІВ ПЕРЕДАЧІ ВІДЕОДАНИХ У МЕРЕЖАХ БПЛА
Актуальність. Передавання відеоданих у комп’ютерних мережах БПЛА є складною міждисциплінарною задачею, в якій поєднуються особливості мобільних бездротових мереж, вимоги до обслуговування трафіку реального часу та прикладна значущість відеоінформації для виконання місії. Об’єкт дослідження: процес відеоданих у комп’ютерних мережах БПЛА. Мета статті: провести порівняльне дослідження сучасних методів передачі відеоданих у мережах БПЛА. Результати дослідження. Показано, що ефективність передавання відео в таких мережах визначається сукупною дією мобільності вузлів, динамічної топології, варіативності пропускної здатності, затримки, джитера, втрат пакетів, параметрів відеопотоку та ресурсних обмежень бортового і наземного сегментів. Установлено, що в мережах БПЛА якість передавання має оцінюватися не лише за середніми мережевими показниками, а й з урахуванням часової придатності та прикладної цінності відеоінформації. Висновки. Показано, що жоден із розглянутих підходів окремо не забезпечує повного врахування динаміки мережі, часової значущості відеоданих та ресурсних обмежень, характерних для мереж БПЛА.
Copyright (c) 2026 Jian Yu, Jiang He, Serhii Semenov, Stanislav Vasiukhno http://creativecommons.org/licenses/by-nc/4.0
RESEARCH OF METHODS OF BUILDING ADVISORY SYSTEMSON THE INTERNET
The paper considers the main types of recommender systems on the Internet, based on the methods of , content-based andcollaborative filtering. The article examines ways to collect user data from web-resources that is needed to formulate recommendations. Methods of constructing classifiers for content-based filtering were investigated. Methods of calculating the similaritycoefficient of users or objects in collaborative filtering are also researched.
Copyright (c) 2018 Мелешко Є.В., Семенов С.Г., Хох В.Д.
The article examines an example of a system in which a large number of short texts are generated. In it, participants create strategic planning documents, within which key performance indicators are determined. The formulations of key performance indicators form a data set consisting of short texts. Within the framework of this system, there is an urgent task of forming and updating a classifier based on this set. A solution to this problem is presented using the fuzzy interactive clustering method. This method allows expert to perform clustering sets of short texts, issuing reverse communication based on the results of each step interactive clustering. Collection procedure reverse does not imply any connection availability of an expert special knowledge about work neural network and is assembled in human-readable form matrices reverse communications. Such an approach has advantages over clustering methods requiring adjustments metaparameters algorithm not related directly with the clustering results. Also important advantage the proposed method is opportunity realize clustering sets data related to various language domains that do not match the domain on which was produced education language models, due to proposed extension method dictionary language models This property allows use the proposed algorithm in a narrow way specialized domains, as well as in domains that do not allow you to obtain a full-fledged corpus of texts for yourself training language models.
Copyright (c) 2024 B. Steblyanko, O. Ni, H. Kuchuk, D. Volk
METAL HALIDE LAMPS: THE ACHIEVED LEVEL AND WAYS TO FURTHER INCREASE THE LIGHT EFFICIENCY OF ENERGY-EFFICIENT LIGHT SOURCES
The article analyzes modern designs and parameters of commercial samples of metal halide lamps from leading world manufacturers, their advantages and disadvantages over other energy-efficient light sources, and analyzes possible ways of further improving the light parameters of these lamps.
Copyright (c) 2018 С.Г. Кислиця, Н.В. Єрмілова, Г.М. Кожушко
AUTOMATION OF INTERNAL WAREHOUSE MANUFACTURING LOGISTICS PROCESSES FOR THE IMPLEMENTATION OF THE INDUSTRY 4.0 CONCEPT: ENERGY SAVING, PRODUCTIVITY, MOBILITY, MODULARITY, AUTONOMY
The article examines the main trends and tasks faced by top companies whose main job profile is the development, implementation and support of internal warehouse logistics systems. In the near future development in the field of automation of production internal logistics will be directed on energy efficiency, productivity, mobility, modularity and autonomy. It has been proven that one of the main ways of improving production internal warehouse logistics processes is shuttle systems that can be modernized by using the concept of cyber-physical approaches. This is one of the shortest ways to increase the parameters of reducing the time of transportation, sorting, storage, and increasing the productivity, energy efficiency, and flexibility of production intra-warehouse logistics processes.
Copyright (c) 2024 M. Vzhesnievskyi, O. Chala
COLLABORATIVE FILTERING FOR IMPLICIT FEEDBACK DATASETS USING RANKING NEGATIVE DATA
The subject matter of the article is the processes of revealing the preferences of users in recommender systems. The goal is to develop an improved method of collaborative filtering based on the ranking of missed and negative results in the matrix of input data. Tasks: Formalize the properties of the source data, including missing data for the collaborative filtering task; develop an approach to the ranking of input data for collaborative filtering with implicit feedback, including missed and negative results; improve the method of collaborative filtering by pre-ranking the missed and negative results in the original data. The methods used are: collaborative filtering, machine learning. The following results were obtained. The properties of the initial data are formalized. Such data is arranged for each user as a sequence of preferences of objects of interest to the user. Based on the properties of the source data, it is shown that with collaborative filtering with implicit feedback, it is necessary to organize not only data about the user's behavior, but also missed and inaccurate data. An approach to the ordering of such data is proposed on the basis of their pairwise comparison. The method of collaborative filtering is improved on the basis of refinement of weight coefficients for the training sample, taking into account the preliminary ranking of the input data. Conclusions. The scientific novelty of the results obtained is as follows: the method of collaborative filtering with implicit feedback has been improved by assigning additional weights to the elements in the matrix of the initial data based on the ranking of the missed and negative results. The method allows to increase the accuracy of the AUC criteria taking into account the incompleteness of the initial data.
Copyright (c) 2018 V. Leshchynskyi, I. Leshchynska
METHOD OF ANALYSIS AND PROCESSING INFORMATION IN THE DSS ACS
Subject: The article contains investigation of the questions related to semantic and syntactic analysis of the texts, decomposition of sentences into component processes, the construction of the syntactic structure of sentences; semantic interpretation of the fragments of a natural language sentence into fragments of an M-language; the composition of the fragments of the M-language in the structure of the abstract, describing the problem environment. Purpose: development of a method for analyzing and processing information on the DSS ACS. Objective: To analyze the research of recent years related to the solution of analyzing the content of the language structure problem from the point of view of creating dialogue systems software, to make a conclusion about the appropriateness of research directions. Perform a detailed description of the stages of performing semantic and parsing with a description of the input, intermediate and output data. Determine the recommendations for the input data variability depending on the structure of the sentences of the subject area (the text described in natural language). Suggest rules for the formation of predicates for different parts of the Ukrainian language. Determine the typical set of service awards for filling the reference dictionary. Justify the implementation of each of the above operations for combining into a single computing structure, which is performed at certain stages. Develop procedures for passing each of the stages. Suggest rules for the formation of syntactic groups for certain pairs of tokens. Conclusions: The application of the developed method based on certain rules in predicates will allow to sample informatively significant information from a set of textual information and present it as an annotation (abstract).
Copyright (c) 2018 O. Nesmiian, M. Pavlenko
DETERMINING THE INFLUENCE OF THE ENVIRONMENT ON THE DYNAMICS OF THE MACHINE ON THE BASIS OF SPECTRAL ANALYSIS
The subject matter of the study in the article is a mathematical model of the vibration system "machine-environment" taking into account the properties of the sealing medium. The goal of the article is to justify the design scheme and to create a mathematical model of the vibration system "machine-environment", taking into account the properties of the sealing medium for estimating the effect of medium resistance under poly-frequency oscillations. The tasks: to carry out theoretical studies of modeling and taking into account the effect of medium resistance under polyfrequency oscillations for compacting concrete mixes. The methods used are analytical studies of discrete and continual dynamic systems. The following results are obtained. The expressions obtained for determining the components of the medium's resistance under polyfrequency oscillations. Thus, applying these expressions, one can evaluate the influence of each of the harmonics of the vibrational process on the motion of the system and, respectively, the stress-strain state. This is a fundamentally new result and the idea of the possibility of creating a new generation of vibration systems on this basis. Conclusions. The justified calculation scheme and the mathematical model of the vibration system "machine-environment" is developed taking into account the properties of the sealing medium; an analytical method for determining the influence of the medium being processed on the dynamics of the "machine-environment" system; Analytic dependences for the estimation of the influence of the medium's resistance under polyfrequency oscillations are obtained.
PROSPECTS, BENEFITS AND BASIC PRINCIPLES OF FIBER-WIRELESS TECHNOLOGIES FOR MILLIMETER WAVE TELECOMMUNICATION SYSTEMS
The article analyzes the prospects and benefits of implementing wireless telecommunications systems using fiber- wireless technologies in the millimeter wavelength range. The principles of implementation of the hybrid fiber- wireless architecture for mobile systems in the millimeter wavelength range are shown, where base stations and information processing centers are combined via fiber-optic lines using the conversion of the millimeter range channels into the optical range. The principles of the main photon methods of forming and modulating radio signals of the millimeter range, including the formation of quadraturemodulated signals, are analyzed. The possibility of discreteness of modulation of amplitude and phase, the creation of various algorithms for precoding the amplitude and phase of the millimeter-wave radio signal is shown. The noise components associated with the optoelectronic methods of generating radio signals based on external modulation of optical radiation, the efficiency indicator, which is used as an error vector magnitude, are analyzed. It is shown that the phase noise of the output electrical signal has a dominant value and is determined only by the phase noise of the signal of the electrical control generator and the frequency multiplication order. It is shown that the methods of microwave photonics of the formation of radio signals and the fiber-wireless architecture will be able to provide high bandwidth networks due to the wide processing band up to 10 GHz, spectral multiplexing and the use of high-order modulation formats. Photon (optoelectronic) processing of radio signals becomes more effective in comparison with electronic methods. Further study of the efficiency indicators of hybrid fiber-wireless technologies, amplitude and phase coding algorithms of radio signals are promising directions for finding solutions to increase information transfer speed, energy efficiency, for making seamless integration of various technologies that operate in different frequency ranges (including in different sub-bands of millimeter waves) and the radii of the coverage areas.
Copyright (c) 2019 S. Kozelkov, Ya. Kremenetskaya, Yu. Melnyk
ANALYSIS OF THE STRUCTURE OF THE INFORMATION SECURITY SYSTEM
The article analyzes the priority elements of the information protection system architecture from the standpoint of the effectiveness of its work. The system includes modules for registering, recording and restricting access based on approved norms and rules, encrypting information transmitted or stored, reserving information resources and ensuring integrity. Analyzed the main components of information security, monitoring the effectiveness of measures taken and measures taken to protect information using technical means. It is advisable to use all these modules as mandatory components of an information protection system, although the vast majority of threats to an information system can be implemented only during the operation of a computing system. The information security system is a structural unit of an information system; therefore, it is a structural, functional and organizational component that reproduces the architecture of the protected system. Continuity of control is necessary for the continuous protection of all elements of the system. It must be reliable and operate smoothly, both in the active and in the passive state of the information system. Enhance the security of any object can be achieved through a multi-level and multi-component construction of the protection system. In this case, the implementation of any threat will be able to influence the protected object only if all established protection levels are overcome, taking into account the entire set of protection requirements and factors affecting protection.
Copyright (c) 2019 L. Degtyareva, М. Miroshnykovа, S. Voloshko
THE CONCEPT OF DESIGNING EXPLANATIONS IN THE RECOMMENDER SYSTEMS BASED ON THE WHITE BOX
The subject matter of the article is the processes of formation of explanations in the recommender systems. The goal is to develop a conceptual model for forming explanations in the recommendation systems on the basis of the white box, so that the user of such a system could get an explanation for the sequence of the formation of recommendations, taking into account the capabilities of the advisory system. Tasks: to highlight the basic characteristics of explanations in intelligent systems; to develop a conceptual scheme for constructing explanations according to a structural principle; to develop a conceptual model for forming explanations based on the principle of a white box. The principles used are: structural or the principle of a white box and functional, or the principle of a black box. The following results are obtained. The basic characteristics of explanations in intelligent systems are given, which gives the opportunity to formulate explanations for outputting the result on the principle of a white box and an explanation for interpreting the resulting result on the basis of the black box. The conceptual scheme of construction of explanations is developed, which links the constraints and conditions of the choice of the user with the rating list of goods and services. The conceptual model of explanation formation based on the principle of a white box is developed. Conclusions. Scientific novelty of the results is as follows. A conceptual model for constructing recommendations based on the principle of a white box is proposed, taking into account structural constraints and the conditions for constructing recommendations. Restrictions are determined by the categories and properties of the objects, as well as by the characteristics of the user. The conditions are set through the sequence of interaction of the user with the advisory system, as well as the results of the selection of similar users. The developed model provides the opportunity to formulate a general scheme for constructing explanations. Such a scheme provides an opportunity to increase the user's trust in the recommendations received by explaining the sequence of construction of the rating list of goods by the recommender system.
Copyright (c) 2019 S. Chalyi, V. Leshchynskyi, I. Leshchynska
OPTIMIZATION OF ELECTRIC ENERGY USE IN TELECOMMUNICATION OBJECTS UNDER THE CONDITIONS OF NON-LINEAR LOADING
The article deals with an improved method of optimization of the usage of electric energy in the object of telecommunications provided constant and variable non-linear load. The mentioned method deals with contradictions, which stands in the need of increasing fundamental harmonic, which causes problems in the practical implementation and reduction of the current with high harmonics of nonlinear variable load. It was established that a weighty part of telecommunication equipment is a non-linear load, operation of which leads to significant network distortions. The classification of negative factors, associated with the emergence of higher harmonics of currents and voltages and methods of their suppression was given. To optimize the transmission of electricity in the nonlinear load it was proposed to use a special power supply, which further need to be enabled in electrical circuit and then it provides compensation of the higher harmonics of nonlinear current. Scheme solutions of optimizers of transmission of electric energy to the non-linear load with constant and variable parameters were presented. The structure and algorithm of the method of optimization of electricity, which deals with determination of the amplitude and phase of harmonics of non-linear load by the method of fast conversion of Fourier and formation of signal control by the active filter of harmonics, were determined. Conclusion. Due to the application of the method of optimization of transmission and usage of electric energy, which takes into account changes in nonlinear load and harmonic current parameters, the quality of electric energy usage is increased and the nominal mode of operation of telecommunication objects is provided.
Copyright (c) 2019 O. Shefer, B. Topikha, V. Shefer, O. Zhurkin
THE CONCEPT OF BUILDING A SYSTEM FOR TRANSDISCIPLINARY INFORMATION SUPPORT OF GEOSPATIAL ANALYSIS WITH A COMPONENT ARCHITECTURE
The subject matter of the article is the concept of building a system of transdisciplinary information support for geospatial analysis with component architecture. The goal is to develop a concept for building a transdisciplinary information system for geospatial analysis with component architecture. The tasks are: to consider a general description of the information support system for geospatial analysis, work with geospatial information sources and the introduction of the found data into the system, the creation of a formalized array of unsystematic geospatial data, a geospatial database and related information, a geoinformation platform, an expert environment. The methods used are: methods of analysis and synthesis of complex information systems, methods of system analysis, methods of simulation and statistical modeling. The following results were obtained. It is established that geospatial analysis is the process of determining spatial, structural-functional, and other relationships between geospatial objects to clarify, modify, or obtain qualitatively new intelligence information. The proposed system will have a component architecture and each expert analyst can create his own analytical environment from typical system components. According to the created analytical environment, the search and collection of the necessary information will be organized, as well as bringing to the expert analyst exactly the information that falls within its competence. Conclusions. The proposed system of information support of the processes of geoinformation support and geospatial analysis allows you to quickly search and provide the necessary information to the expert analyst. In this case, the system is able to use information from both its own databases and from heterogeneous external information resources.
TECHNOLOGY OF CONSTRUCTION OF PARALLEL ALGORITHMS OF FACTORIZATION
The subject of study of the article are algorithms for factoring large numbers. The aim of the article is to develop a technology for parallelization of the factorization process and its experimental research. Tasks: to increase the speed of the proposed algorithms by parallelizing the process of factoring large numbers. The approaches for parallelization of the factorization problem, which are used in modern systems, are considered. Efficiency criteria are proposed, on the basis of which it is possible to put forward requirements for the methods of constructing and organizing the computational process by a parallel system. The proposed technology is based on the possibility of reducing the distance between the factors on the numerical axis. This is achieved by multiplying the factoring number by small factors, which will be taken into account in the final solution of the problem. The factorization algorithm is presented and analyzed, which searches for non-factors, and terms, which allows you to quickly solve the factorization problem, both with close factors, and with significantly different from each other. The possibility of using the proposed algorithm on three processors is considered. The experiment confirms the hypothesis about the possibility of increasing the speed of solving the factorization problem by increasing the size of the factoring number. The results of experimental studies are illustrated by drawings, which clearly show the time gain when using the proposed technology. The factorization algorithm considered in the article, based on the solution of inequality, makes it possible to cut off a large number of variants of factors that are not the solution of the problem. Experimental studies conducted on a three-processor system have shown good results in solving the factorization problem using the possible parallelization of this process. The conducted studies on parallelization of the factorization task are of great importance both in the theoretical plane and also of practical importance when using public key encryption systems.
Copyright (c) 2019 V. Kharchenko, V. Pevnev
PRACTICAL USE CASES FOR CREATING CONVOLUTIONAL NEURAL NETWORK MODELS FOR IMAGE RECOGNITION TASKS
The aim of the article is to improve the efficiency of image recognition by creating a binary classifier for objects of civil infrastructure using deep learning techniques. Research results. Convolutional neural network models have been created for the recognition of civil infrastructure objects. A Sequential convolutional neural network has been constructed, consisting of three convolutional layers, pooling layers, a transformation layer, a fully connected layer, and an output layer. The optimal error values during training/testing are 0.0650/0.4424, with accuracies of 0.98/0.92 respectively. Results from the third epoch show errors of 0.2442/0.2595 and an accuracy of 0.93. A pre-trained VGG16 model was also utilized, fine-tuned on the dataset, demonstrating minimal error values of 0.0278/0.1538 during training/testing, with accuracies of 0.99/0.96 respectively. Scientific novelty. Further development of using convolutional neural networks for recognizing the level of civil infrastructure damage has been achieved. Practical significance. Two convolutional neural network models, Sequential and VGG16, have been built to address the recognition of damaged and intact buildings. The prerequisite for detecting these objects is the use of a camera and appropriate hardware such as a Raspberry Pi or a personal computer/laptop.
Copyright (c) 2024 O. Laktionov, N. Pedchenko, A. Yanko
USING GENETIC ALGORITHMS TO FIND INVERSE PSEUDO-RANDOM BLOCK PERMUTATIONS
The subject matter of the article is a method for finding inverse pseudorandom block permutations of pixels in an image. The goal is to develop a "blind" method for finding inverse pseudo-random block permutations using genetic algorithms. Tasks: to analyze the factors affecting inverse pseudorandom block permutations in the image, to develop a method for coding permutations in genetic algorithms, to justify the choice of the objective function for optimization using genetic algorithms. The methods used are: methods of digital image processing, probability theory, mathematical statistics, cryptography and information protection, the mathematical apparatus of matrix theory.The following results are obtained. The analysis of factors affecting inverse pseudorandom block permutations in the image is carried out. The factors affecting the maximum block size at which the inverse permutation is still possible are determined. A method has been developed for finding inverse pseudorandom block permutations of pixels in a permuted image using genetic algorithms. Conclusions. The scientific novelty of the results is as follows.It was established that finding inverse permutations is possible only on condition that the block size is smaller than the image correlation radius. An effective method for coding permutations is proposed, in which the standard operators of genetic algorithms will generate new and only permissible permutations. It is proposed to use the sum of the squared gradients as the objective function.It is shown that this objective function has a global minimum for correct permutation, which allows one to find inverse block permutations "blindly" without additional a priori information.
Copyright (c) 2019 O. Makoviechuk, I. Ruban, G. Hudov
USE OF ELECTRO-HYDRAULIC ANALOGIES IN DIAGNOSING THE TECHNICAL CONDITION OF PETROL AND DIESEL ENGINES FOR INTERNAL COMBUSTION
This article clarifies the relationship between the phenomena occurring in hydraulic and electrical systems by comparing the processes of fluid flow in trunk pipelines and the processes occurring in power lines with distributed parameters. It turns out how it is possible to use the basic provisions of the electro-hydraulic analogy for the analysis of the technical condition of the lubrication systems, cooling and fuel supply of gasoline and diesel engines of autonomous and backup power plants and power plants of samples of armored and automotive vehicles. Hydraulic and electrical analogues are established, namely, fluid pressure and voltage, fluid flow and current, the hydraulic circle is represented as an electrical circuit, the concepts of hydraulic resistance, hydraulic inductance and hydraulic capacity are defined. It is proposed to consider hydraulic systems as dynamic links, changes in the values of which parameters should be used to assess the technical condition of gasoline or diesel internal combustion engines, using such physical quantities that characterize the operation of engine systems such as pressure and fluid flow, and determining the technical condition of these systems by identifying changes in the amplitude, frequency, phase and time characteristics of dynamic circuits created by hydraulic actuators resistances, hydraulic inductances and hydraulic capacitances. The purpose of this article is to substantiate the possibility of using electro-hydraulic analogies when evaluating the technical condition of diesel and gasoline engines. Using the method of electro-hydraulic analogy, which is based on the application of the theory of electrical circuits, for mathematical modeling of hydraulic systems, creating new or improved existing equipment of these systems, determining the features of their operation can significantly simplify the calculation of hydraulic circuits and also visually and simply perform an analysis of their work.
hydraulic inductance and hydraulic capacity
technical diagnostics of hydraulic systems
Copyright (c) 2019 B. Kononov, Yu. Musairova, O. Kuyan
MODELING THE PROCESS OF FUNCTIONING OF ARTIFICIAL MOVEMENT OF AIR MASSES IN THE ATMOSPHERE
The artificial shear of air masses caused by the release of a large amount of energy in the airspace is an analogue of the natural shear of the wind, but can be much more powerful. An artificial shift in air masses is considered as a displacement of a sinusoidal wind described by the corresponding system of differential equations for changing the gas-dynamic characteristics of the environment during powerful explosions. The purpose of the article is to analyze the studies of the formation of an artificial shear of air masses and simulate this phenomenon in the atmosphere with the results of changes in the main characteristics. The simulation results are obtained, based on which conclusions are made: with increasing height at the same distance from the center of the explosion, the speed of movement of air masses behind the shock wave increases; the speed of propagation of a shock wave at different distances from the center of the explosion varies differently. At a short distance from the center of the explosion, where the shock wave still has a large kinetic and potential energy, the propagation velocity increases with height, but it decreases much more at large distances; gradients of changes in the speed of movement of air masses in height are of a different nature depending on the power of the shock wave. That is, at R=1000 m, ΔР=2.53 kgf/m2, the speed of artificial shear of air masses with height will vary from 350 m/s to 600 m/s, and at R=3000m from 58 m/s to 90 m/s; the duration of the compression phase also increases with increasing height. The artificial shift of air masses is a dangerous phenomenon that needs to be thoroughly investigated, but conducting research in natural conditions is impossible due to the high cost. Therefore, it is necessary to develop a mathematical model of this phenomenon to study its effect on the dynamics of the aircraft and conduct a numerical experiment. That in the future will make it possible to work out recommendations for reducing the effect of artificial displacement of air masses and preventing them from falling into zones of its destructive effect.
Copyright (c) 2019 Yu. Danilov, V. Stadnik
INVESTIGATION OF THE METHOD OF ACTIVE QUEUE MANAGEMENT ON THE INTERFACES OF TELECOMMUNICATION NETWORKS ROUTERS
The paper presents the results of an investigation of the method of active queue management at the interfaces of telecommunication networks routers. The method is based on mathematical models of linear and quadratic programming. The novelty of these models is a consistent and consistent solution of optimization problems: aggregation and allocation of packet flows over queues formed at the interface (congestion management); distribution of the bandwidth of the router interface between the formed queues (resource allocation), and ensure that the rate of packet flow arriving at the input of the router interface is proactively limited (active queue management). The influence of classes of flows and queues, the type of objective functions and the balancing factor on the character of the distribution of flows among queues, fixing parts of the interface bandwidth to individual queues and possible denials of service are analyzed.
Copyright (c) 2019 T. Lebedenko, M. Goloveshko, A. Holodkova
FORMATION OF PROFESSIONAL COMPETENCE OF FUTURE IT SPECIALISTS IN INSTITUTIONS OF HIGHER EDUCATION
The paper considers modern information technologies, which are the basis of the process of informatization of education. The process of improving the quality of training specialists in the context of developing a system of general and vocational education is researched. The author analyzes the definition of informational educational environment. It is substantiated that online education is a factor in increasing the level of access to education and has certain advantages over traditional types of knowledge, providing flexibility through remote access to resources. Modern European educational initiatives are analyzed, informatization of education envisages development of informational and educational environment, essential role in creation of which is educational television. It is determined that today in the field of development of the information and telecommunication environment the main channels of data transmission, owned both by the state and non - state structures, which provide high - speed exchange of large flows of information between regions, are developing.
Copyright (c) 2019 A. Hafiiak, O. Shefer, E. Borodina, S. Alyoshin
METHODS OF MODELLING SCALED CLOUD RESOURCES
In the era of rapid development of cloud technologies, the main task is not only the research of existing opportunities, but also the practical implementation of solutions aimed at optimizing the use of cloud resources. The purpose of the article is to identify the most effective approaches to modeling cloud resources, which will allow organizations to achieve a significant reduction in the costs of using cloud resources while simultaneously ensuring a high level of performance and reliability of cloud services. The work offers effective strategies for automating the deployment and management of cloud infrastructure based on the Azure Cloud platform and the Terraform tool. Modern research emphasizes the importance of integrating automated management tools to increase the efficiency of cloud resource use, which includes the analysis of current challenges in scalable cloud resources, such as load balancing, ensuring continuous availability of services and optimization of resource use. An overview of optimization techniques demonstrates strategies for reducing costs and improving performance in cloud environments. The results of the study are intended for a wide range of specialists in the field.
Copyright (c) 2024 Maksym Volk, Maksym Popovkin
INVESTIGATION OF ARCHITECTURAL SOLUTIONS FOR BUILDING A SECURE SYSTEM FOR CONFIDENTIAL DATA STORAGE AND TRANSMISSION
Relevance. In the current landscape of rapid digitalization and increasing cyber threats, protecting confidential information during storage and transmission has become a critical priority in the design of information systems. A robust system architecture ensures resistance to attacks, data integrity, and access control. Object of the study: architectural solutions for developing secure software systems for storing and transmitting confidential data. Purpose of the article: to investigate, design, and develop architectural components of a secure information system capable of maintaining data confidentiality during transmission and storage. Research results. The article presents an analysis of current approaches to building secure information systems and justifies the selected architectural model and tools. A system prototype was developed. The system was tested for compliance with security and performance requirements. Conclusions. The proposed architectural solution demonstrated effectiveness in ensuring data integrity, confidentiality, and availability. The results can be applied to further improve information systems in fields dealing with sensitive or mission-critical information.
Copyright (c) 2025 Oleksandr Shmatko, Oleksandr Rahulin, Pavlo Kravchenko, Pavlo Buslov http://creativecommons.org/licenses/by-nc/4.0
IMITATION MODELING OF ENERGY RESOURCES MANAGEMENT PROCESSES OF METALLURGICAL ENTERPRISES
As a result of the analysis of the energy saving program structure at the metallurgical enterprises,it was found the problems that are solved by the energy saving projects are inefficient consumption (significant losses) of energy resources (gas, thermal energy, electricity), control over the costs formation and the results of improvements in energy consumption. The overall goal of improving energy efficiency at the enterprise is realized through the management of a energy-saving projects portfolio, which are aimed at fulfilling the following tasks: optimization of energy balance; minimization of natural gas consumption; optimization of energy efficiency, etc. Success criteria for an energy-saving project include: efficiency; operating costs, losses, etc. It should be noted that it is difficult to objectively estimate the share of each energy resource in the total flow, to determine the energy intensity of individual production, departments and the whole enterprise, etc. To implement optimal management of energy flows at a metallurgical enterprise we proposed the method based on a multi-agent approach, which consists in forming a community of agents for energy consumption, energy conversion, energy production and the purchase of energy resources on the external market. An agent-based simulation model has been developed for analyzing the energy management processes of a metallurgical enterprise when implementing a portfolio of energy-saving projects. The article described the features of the information interaction of agents in a multi-agent system, due to mechanisms associated with decentralized multi-project planning, including the resolution of resource conflicts when performing tasks, the search for the most optimal resources, during which the work will be performed on the most favorable conditions
Copyright (c) 2019 S. Kiyko, E. Druzhinin, O. Prokhorov
THE METHODOLOGY FOR THE FORMATION OF A TRAINING SAMPLE FOR TRAINING A FUZZY NEURAL NETWORK
The article is devised a methodology for the formation of a training sample for the study of fuzzy neural network when automating the decision making process in the tasks of aviation guidance to ground targets. To study fuzzy neural network, you need to use a training sample. There is a problem of data collection in preparing the training sample for the training of the FNN in the process of guiding AA in the ET. First, collecting statistics on the basis of decision-making examples in the process of giving in real terms the application of the AA on the ET, takes a lot of time, does not allow to collect the necessary amount of statistical data for the formation of the training sample. Therefore, you should use imitation modeling. But the complexity, the dynamism of the process of guidance, and the uncertainty due to the nature of the parameters used to solve the problem of guidance, do not allow the use of simulation models built on the basis of traditional methods. This is due to the fact that the training sample does not take into account uncertainty. Simulation models built on the basis of traditional methods do not take into account the experience and knowledge of the PAN; therefore, the training sample obtained as a result of modeling will not allow to construct the FNN and teach it in accordance with the decision making process of the PAN when the AA on the ET vare given. Therefore, when constructing an imitation model, models based on the fuzzy logic and fuzzy sets mathematical apparatus should be used. As a result of this work, a methodology for forming a training sample for the study of a fuzzy neural network during the automation of the decision-making process in the tasks of aviation guidance to ground targets was developed, and an imitation model was constructed. This model allows using the input data to obtain the guidance parameters determined by the PAN in solving the problem of steering the AA in the ET. The application of this methodology allowed to receive a training sample on the basis of which it is possible to study the FNN for the information technology of automated development of recommendations for the parameters of guidance of the AA in the ET on the basis of FNN
Copyright (c) 2020 A. Tymockho, A. Samokish, O. Aroslankin