Кафедра "Комп'ютерні інформаційні технології" (КІТ ДІІТ)

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ENG: Department "Computer Information Technologies"

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Analytic Hierarchy Process Sustainability at the Significant Number of Alternatives Ranking
(CEUR-WS Team, Aachen, Germany, 2020) Shynkarenko, Viktor I.; Vasetska, Tetiana M.; Vyshnyakova, Iryna М.
ENG: This paper focuses on the need to evaluate the sustainability of Analytic hierarchy process at the Ranking of more than 10 alternatives. The proposed method is based on simulation modeling of the process of improving expert pair-wise comparison judgments. The represented method provides a stepwise improvement of the pair-wise comparison matrix transitivity. The average discrepancy and coincidence of ranks in multiple modeling are proposed as estimates of the rating stability. The application of the developed method was studied on a statistical sample formed according to the final tables of the England, Germany and Spain football championships. The method for determining probability of some alternatives ranks is developed. It is possible to modify the method for predicting the results of sports competitions and for the case of ranking with partially missing expert ratings.
Analytical Studies of the Influence of the Technological Parameters of the Process of Pulling the Strip Through the Bending-Stretching Device on the Change of the Energy-Force Parameters of the Process
(Інститут чорної металургії ім. З. І. Некрасова НАН України, м. Дніпро, 2024) Razdobrieiev, V. H.; Kluychnikov, K. Yu.; Palamar, D. H.; Leshchenko, O. I.; Ivanov, Oleksandr P.
ENG: It is impossible to imagine the modern development of technology without the use of metal products, including wire products, which are subject to high requirements in terms of variety and quality, and to the production processes, for example, wire of a fashioned profile, the flexibility of technology, high efficiency and economy, labor safety and automation. One of them is the process of drawing metal in roller dies, which combines the features of two methods of pressure metal processing - rolling and drawing. The main working tool when applying the drawing process in roller dies is a roller die with non-driven working rollers. The main drawback of the roller dies method is the presence of traction force. Stretching stresses in combination with a decrease in the plasticity of the metal during the drawing process can lead to the destruction of the rolled product. This limits the assortment of profiles, the total crimping in one of transition. It is possible to increase the plasticity of metal in two ways - thermal and mechanical. The thermal method, which is widely used in industry, requires significant energy consumption. At the same time, previous studies, which were carried out including in the ISI NASU, showed that it is possible to increase the plasticity of the metal by means of alternating sign deformation of the profiles, using, for example, equipment for straightening profiles or a scale breaker. The purpose of analytical research is to establish the dependence of the influence of the technological parameters of the drawing process in a roller drawing machine combined with the pulling of strips through a device for bending with tension (DBT) on the change of the energy parameters of the process based on the developed mathematical model. Analytical studies of the influence of the technological parameters of the DBT were carried out for the case of deformation of the initial workpiece of round cross-section with a diameter of 5.90 mm from low-carbon steel of the St.08 brand in a double-roll roller die with smooth rolls, combined with DBT in the conditions of the laboratory base of the pressure metal processing department of the Iron and Steel Institute of the Z.I. Nekrasov of NASU. On the basis of the revealed regularities, the dependences of the energy-force parameters of the process of drawing in a roller die, combined with the drawing of strip through the DBT, on the influence of the main technological parameters were obtained. It was established that an increase in the distance between of the axes rollers of the DBT at a constant value of the movement of the axis of the pressure roller of the DBT in the vertical direction leads to a decrease in the angle of coverage of the roller by the strip. It has been established that at a constant distance between the axes of the DBT rollers, when the amount of movement of the axis of the DBT pressure roller increases vertically, on the contrary, the values of the angle of coverage of the roller by the strip increase. It is shown that an increase in the number the rollers of DBR leads to an increase in both the pulling force of the strip and the normal component of the force acting on the trunnion of the rollers of the DBT. It was determined that the most significant influence of the height of the stretched strip and the radius the rollers of the DBT on the pulling force occurs in the range of relations R/h≤10. It was established that an increase in the total degree of preliminary deformation in the roller die and sign-changing deformation in the DBT of the strip leads to an increase in the value of the pulling force.
Application of Constructive Modeling and Process Mining Approaches to the Study of Source Code Development in Software Engineering Courses
(Split: Croatian communications and information society, Croatia, 2021) Shynkarenko, Viktor I.; Zhevaho, Oleksandr O.
ENG: We present an approach of constructing a source code history for a modern code review. Practically, it is supposed to be used in programming training, especially within initial stages. The developed constructor uses constructive-synthesizing modeling tools to classify a source code history by fine-grained changes and to construct an event log file aimed to provide information on students’ coding process. Current research applies Process Mining techniques to the software engineering domain to identify software engineering skills. By better understanding of the way students design programs, we will help novices learn programming. This research provides an innovative method of using code and development process review in teaching programming skills and is aimed to encourage using code review and monitoring coding practice in educational purposes. The standard method of evaluation takes into consideration only a final result, which doesn’t meet modern requirements of teaching programming.
Authorship Determination of Natural Language Texts by Several Classes of Indicators with Customizable Weights
(CEUR-WS Team, Aachen, Germany, 2021) Shynkarenko, Viktor I.; Demidovich, Inna M.
ENG: In this work we try to improve the results of texts and their fragments attribution using the classification method of the least distance in Euclidean space of images, by selecting weights for each of the image measures. For weights determination the genetic algorithm was used. Images are formed using statistical and modified recurrent analysis and the text complexity indicators. We will try to identify the effectiveness for each of them. It was found that this method usage improves the efficiency of the text attribution and the reliability of authorship determination of the texts from the control sample reaches 80-91%.
Automated Monitoring of Content Demand in Distance Learning
(CEUR-WS Team, Aachen, Germany, 2021) Shynkarenko, Viktor I.; Raznosilin, Valentyn V.; Snihur, Yuliia
ENG: In this paper the research of means and the development of software for matching the student’s gaze focus with the structure of information on the computer monitor during distance learning is presented. Widespread hardware is envisaged to be used. Primary processing of the face image, eye regions separation is performed by means of the OpenCV library. An appropriate algorithm to calculate the center of the eye’s pupil has been developed. The influence of the system calibration process with different schemes of calibration point display, its delay time on the screen and location of the additional camera according the accuracy of the calculation the coordinates of the gaze focus is investigated. Based on the performed experiments, it was defined that the error of gaze focus recognition with using two cameras can be reduced to 4-10%. The proposed approach makes it possible for objective measurement the working time of each student with one or another part of content. The lecturer will have the opportunity to improve the content by highlighting significant parts that receive little attention and simplifying those elements that students process for an unreasonable amount of time. It is planned to integrate the developed software with the LMS Moodle in the future.
Automation of Template Formation to Identify the Structure of Natural Language Documents
(CEUR-WS Team, Aachen, Germany, 2021) Kuropiatnyk, Olena S.; Shynkarenko, Viktor I.
ENG: In the task of text borrowings and plagiarism detection, it is important to take into account the structure of the document. This allows getting a more accurate assessment of the text and reducing the volume of material for comparison. Using a template allows identifying the structure of the document. The paper presents a constructive synthesizing model for automating the construction of a structural template of a document. Possible implementations of some algorithms by means of programming in C# are considered. Their comparative assessment is performed. Possible modification of the template is presented to increase the importance of keywords and simplify the xml-tree, which is a template.
Chaos in Essentially Singular 3D Dynamical Systems with Two Quadratic Nonlinearities
(Springer Science + Business Media, 2016) Belozyorov, Vasiliy Ye.
EN: A new class of 3D autonomous quadratic systems, the dynamics of which demonstrate a chaotic behavior, is found. This class is a generalization of the well-known class of Lorenz-like systems. The existence conditions of limit cycles in systems of the mentioned class are found. In addition, it is shown that, with the change of the appropriate parameters of systems of the indicated class, chaotic attractors different from the Lorenz attractor can be generated (these attractors are the result of the cascade of limit cycles bifurcations). Examples are given.
Computer Modeling of Air Pollution in Case of Dust Cloud Movement in Open Pit Mine
(Dnipro National University of Railway Transport named after Academician V. Lazaryan, 2019) Biliaieva, Viktoriia V.; Kirichenko, Pavlo S.; Berlov, Oleksandr V.; Gabrіnets, Volodymyr O.; Horiachkin, Vadym M.
ENG: Purpose. Explosions in open pits lead to the formation of dust clouds. These clouds lead to intense air pollution. An important task is the development of methods for predicting the dynamics of atmospheric air pollution during ex-plosions in open pits. The purpose of this work is development of a numerical model to predict atmosphere pollution after explosion in open mine pit. The task is to develop a numerical model that would allow for the calculation to take into account the geometrical shape of the open pit mine, the parameters of the meteorological situation (wind speed, atmosphere), the shape of the dust cloud that is formed in the open pit mine at the site of the explosion. Methodology. Mathematical modeling of dust cloud dispersion during an explosion in an open pit mine is based on the use of fundamental equations of aerodynamics and mass transfer. The airflow velocity field in the open pit mine is modeled using the Laplace equation for the velocity potential. The formation of the concentration field of dust is mod-eled on the basis of the equation of convective-diffusion dispersion of an impurity. For numerical integration of model-ing equations, difference schemes are used. The Laplace equation for the velocity potential is numerically integrated using the Richardson method. For the numerical integration of the convective-diffusion dispersion equation for an im-purity, an implicit difference splitting scheme is used. Findings. A CFD model has been developed that allows you to calculate the formation of pollution zones during the movement of a dust cloud in the open pit mine. A feature of the developed model is the speed of calculation. For practical use of the developed model, standard input information is required. Originality. In contrast to the existing models in Ukraine, the developed numerical model allows taking into account the geometrical shape of the open pit mine and the geometrical shape of the dust cloud when making predictive calculations to assess the level of air pollution caused by explosions in open pits. Practical value. The developed nu-merical model can be implemented on computers of low and medium power. For practical use of the numerical model, standard information on meteorological conditions in open pit mine is required. The numerical model can be used for environmental assessment of the effect of explosions in open pit mine on environmental pollution and work areas.
Conceptualization of the Tabular Representation of Knowledge
(IEEE, 2021) Shynkarenko, Viktor I.; Zhuchyi, Larysa I.; Ivanov, Oleksandr P.
ENG: Tabular representation is used as a basis for knowledge extraction. The structure of knowledge is built from a generalized concept to data structures that are used in applied software. The resulting formalizations allow for control of information in the form of natural language texts (regulatory documents), databases and spreadsheets of automated transport systems. The knowledge extracted from the tabular representation serves as the basis for decision-making and data mining.
Constructive Model of the Natural Language
(Institute of Informatics, University of Szeged, Hungary, 2018) Shynkarenko, Viktor I.; Kuropiatnyk, Olena S.
ENG: The paper deals with the natural lenguage model. Elements of the model (the language constructions) are images with such attributes as sounds, let- ters, morphemes, words and other lexical and syntactic components of the language. Based on the analysis of processes of the world perception, visual and associative thinking, the operations of formation and transformation of images are pointed out. The model can be applied in the semantic NLP.
Constructive Modeling of Lightning Activity in Thunderstorm Front
(Institute of Electrical and Electronics Engineers (IEEE), 2019) Shynkarenko, Viktor I.; Lytvynenko, Kostiantyn; Chyhir, Robert; Sansiieva, Iryna
ENG: Using the tools of constructive-synthesizing modeling, constructors of fractal time series which determine the location, magnitude and rate of damping of lighting discharges are developed. Model video images of lightning in the thunderstorm front are formed according to constructors' implementation. The adequacy of the model is verified by comparison of the model video image with the same produced by NASA satellite.
Constructive-synthesizing Modeling of Debugging Process Visualization
(University of Latvia, 2025) Shynkarenko, Viktor I.; Zhevaho, Oleksandr O.
ENG: This paper presents a theoretical framework for developing video-based debugging instruction using constructive-synthesizing modeling (CSM). The proposed framework formalizes the transformation of integrated development environment debugging logs into educational videos through CSM methodology, providing a systematic approach for creating visual representations of debugging processes. The CSM formalization enables reproducible conversion of temporal debugging sequences into structured educational content, with videos featuring synchronized code context, debugging actions, and explanatory annotations. We present a seven-phase implementation methodology for classroom integration, including structured video analysis, collaborative reflection, and expert-guided discussion phases. The framework establishes theoretical foundations for future empirical validation of video-based debugging instruction, addressing the critical gap between debugging's importance in professional practice and its treatment in educational contexts.
Constructive-Synthesizing Modeling of Lightning Flashes in the Dynamic Thunderstorm Front
(Springer, Cham, 2020) Shynkarenko, Viktor I.; Nikitina, Iryna M.; Chyhir, Robert R.
ENG: At first, deep analysis of modeling processes of the lightning flashes dynamic behavior in static background and moving thunderstorm fronts with very mobile clouds at NASA satellite videos was done. Color models’ opportunities were explored for lightning flashes extraction in significant dynamic thunderstorm fronts and cloudiness. It was shown that the greatest efficiently in recognition is provided by combining Lab and LCH model-based features. The ranges of color channels were defined for lightning aureoles. This data was used for their detection at the series frames from meteorological satellites. The lightning detection filtering is based on the processing a current frame of the video with linear and quadratic filters were developed to solve these tasks. An analysis of their effectiveness was done. Modeling of the lightning flashes was implemented using constructive-synthesizing approach. A set of constructors was developed. Implementing parametric multi-character constructors allows forming fractal sequences of characters. Constructor-converter from the character string to time series creates fractal time series, which determine the location, magnitude and decay rate of lightning discharges. Model video images of lightning in the thunderstorm front are formed in accordance with the implementation of the constructor-assembler. The methods and software for lightning extraction from NASA satellites video, and also for realization constructive-synthesizing models were developed.
Constructive-Synthesizing Modeling of Natural Language Texts
(Khmelnytskyi National University, Khmelnytskyi, 2023) Shynkarenko, Viktor I.; Demidovich, Inna M.
ENG: Means for solving the problem of establishing the natural language texts authorship were developed. Theoretical tools consist of a constructors set was developed on the basis of structural and production modeling. These constructors are presented in this work. Some results of experimental studies based on this approach have been published in previous works by the author, the main results should be published in the next ones. Constructors developed: converter of natural language text into tagged, tagged text into a formal stochastic grammar and the authors style similarity degree establishment of two natural language works based on the coincidence of the corresponding stochastic grammars (their substitution rules). In this paper, constructors are developed and presented that model a natural language text in the form of a stochastic grammar that displays the structures of sentences in it. This approach allows you to highlight the syntactic features of the construction of phrases by the author, which is a characteristic of his speech. Working with a sentence as a unit of text for analyzing its construction will allow you to more accurately capture the author's style in terms of the words use, their sequences and speech style characteristic. It allows you not to be tied to specific parts of speech, but reveals the general logic of constructing phrases, which can be more informative in terms of the author's style characteristics for any text. The presented work is a theoretical basis for solving the problems of the text authorship establishing and identifying borrowings. Experimental studies have also been carried out. The statistical similarity of solutions to the problems of establishing authorship and identifying borrowings was experimentally revealed, which will be presented in the next article of the authors. The proposed approach makes it possible to highlight the semantic features of the author's phrases construction, which is a characteristic of his speech. Working with a sentence as a unit of text to analyze its construction will allow you to more accurately determine the author's style in terms of the use of words, their sequences and characteristic language constructions. Allows not to be attached to specific parts of speech, but reveals the general logic of building phrases. It is planned to use the created model in the future to determine the authorship of natural language texts of various directions: fiction and technical literature.
Constructive-Synthesizing Modelling of Multifractals Based on Multiconstructors
(CEUR-WS Team, Aachen, Germany, 2024) Shynkarenko, Viktor I.; Chyhir, Robert
ENG: The concept of constructive-synthesising modelling is presented. The basic principles are determined. The classification of constructors by the purpose of constructing and external relations is presented. The types of constructors are defined: generating, transforming, analysing, optimising/adapting, algorithmic; autonomous, parametric, interactive, multiconstructors. Achievements in the application of the constructive-synthesising approach to solving a variety of problems are presented. The instrumental software "Constructor 1.1" has been developed. Simultaneously with the demonstration of the capabilities of the developed software environment, the formation of flat geometric multifractals is demonstrated. The formation of a multifractal is performed by realization a multiconstructor, which consists of a number of autonomous generating, parametric transforming and algorithmic constructors. The features of the deployment of transformations in the formation of constructors are shown: specialization, interpretation and concretization. The specialization of constructors determines the subject area of construction, necessary data and operations. To ensure the functioning of the constructive processes, all constructor operations must be interpreted by the corresponding procedures of the algorithmic constructor. The combination of the constructor (model of data and possible operations) with the algorithmic constructor (model of the executor) forms a constructive system capable of autonomous constructor by an internal executor. Substitution rules and initial conditions are setting in concretization. The developed software provides a certain flexibility in terms of possible modifications and the formation of new constructors and processes. This toolkit can be used as a basis for modelling various constructions and construction processes, especially in the tasks of their optimisation and structural adaptation.
Constructive-Synthesizing Modelling of Ontological Document Management Support for the Railway Train Speed Restrictions
(Український державний університет науки і технологій, Дніпро, 2022) Shynkarenko, Viktor I.; Zhuchyi, Larysa I.
ENG: Purpose. During the development of railway ontologies, it is necessary to take into account both the data of information systems and regulatory support to check their consistency. To do this, data integration is performed. The purpose of the work is to formalize the methods for integrating heterogeneous sources of information and ontology formation. Methodology. Constructive-synthesizing modelling of ontology formation and its resources was developed. Findings. Ontology formation formalization has been performed, which allows expanding the possibilities of automating the integration and coordination of data using ontologies. In the future, it is planned to expand the structural system for the formation of ontologies based on textual sources of railway regulatory documentation and information systems. Originality. The authors laid the foundations of using constructive-synthesizing modelling in the railway transport ontological domain to form the structure and data of the railway train speed restriction warning tables (database and csv format), their transformation into a common tabular format, vocabulary, rules and ontology individuals, as well as ontology population. Ontology learning methods have been developed to integrate data from heterogeneous sources. Practical value. The developed methods make it possible to integrate heterogeneous data sources (the structure of the table of the railway train management rules, the form and application for issuing a warning), which are railway domain-specific. It allows forming an ontology from its data sources (database and csv formats) to schema and individuals. Integration and consistency of information system data and regulatory documentation is one of the aspects of increasing the level of train traffic safety.
Constructive-Synthesizing Representation of Geometric Fractals
(Springer, 2019) Shynkarenko, Viktor I.
ENG: A constructive-production approach, which is more general than other well-known approaches, is proposed to generate fractals. Possibilities are shown for using a large variability of attributes and initial elements of formation of fractals, as well as combining fractals into multifractals. The possibilities of generating fractals are extended by eliminating the constraints necessary in other approaches. The proposed approach allowed to establish several previously unknown properties of fractional dimension that consist of the possibility of changing it in the process of generation of a fractal and a mismatch of fractional dimensions of the form limit during generation and the limiting fractal. A simple definition of a deterministic geometric fractal is given. This definition takes into account all the properties characterizing such a fractal.
Cовершенствование мониторинга и управления автоматизированными процессами эксплуатации железнодорожного транспорта методами интеллектуальных систем
(IEEE Intelligent Transportation Systems, 2013) Швець, Олег Михайлович
RU: В работе предложены методы мониторинга и управления автоматизированными процессами эксплуатации парков технических систем. Разработанные методы используют средства искусственного интеллекта и позволяют определять и прогнозировать техническое состояние элементов систем.
Cпеціалізована модель задачі про призначення дія складання розкладу занять вищих навчальних закладів
(Дніпропетровський національний університет залізничного транспорту імені академіка В. Лазаряна, Дніпропетровськ, 2009) Разумов, Сергій Юр'євич
UK: Розглянуто метод моделювання складання розкладу занять ВНЗ як задача про призначення з обмеженнями з неоднорідними параметрами, основні напрямки розробки.
Data Stochastic Preprocessing for Sorting Algorithms
(CEUR Workshop Proceedings, 2022) Shynkarenko, Viktor I.; Doroshenko, Anatoliy Yu.; Yatsenko, Olena A.; Raznosilin, Valentyn V.; Halanin, Kostiantyn K.
ENG: The possibilities of improving sorting time parameters through preprocessing by stochastic sorting were investigated. The hypothesis that preprocessing by stochastic sorting can significantly improve the time efficiency of classical sorting algorithms has been experimentally confirmed. Sorting with different computational complexity is accepted as classical sorting algorithms: shaker sorting with computational complexity O(n2), insertions O(n2), Shell O(n·(log n)2) ... O(n3/2), fast with optimization of ending sequences O(n·log n). The greatest effect is obtained when performing comparisons using stochastic sorting in the amount of 160 percent of the array’s size. Indicators of the exchange efficiency of two elements and a series of comparisons with exchanges are proposed, which made it possible to establish the greatest efficiency of data preprocessing by stochastic sorting when one element for comparison is selected from the first part of the array, and the other from the second. For algorithms with a computational complexity of O(n2) the improvement in time efficiency reached 70–80 percent. However, for Shell sort and quick sort, the stochastic presort has no positive effect, but instead increases the total sorting time, which is apparently due to the initial high efficiency of these sorting methods. The hypothesis about increasing the time efficiency of quick sorting combined with sorting by insertions on the final sections due to the use of preliminary stochastic processing of such sections has not been confirmed. However, according to the experiment, the recommended size of the array was established, at which it is necessary to switch to insert sorting in the modified quick sort. The optimal length of the ending sequences is between 60 and 80 elements. Given that algorithm time efficiency is affected by computer architecture, operating system, software development and execution environment, data types, data sizes, and their values, time efficiency indicators should be specified in each specific case.
Determining the Rational Motion Intensity of Train Traffic Flows on the Railway Corridors with Account for Balance of Expenses on Traction Resources and Cargo Owners
(Sciendo, 2019) Butko, Tetiana V.; Muzykin, Mykhailo I.; Prokhorchenko, Andrii V.; Nesterenko, Halyna I.; Prokhorchenko, Halyna
ENG: The article proposes a method for determining the rational motion intensity of specific train traffic flows on railway transport corridors with account for balance of expenses on traction resources and cargo owners. A mathematical model based on stochastic optimization is developed, which allows to optimize, in the conditions of risks, the interval between trailing trains on the railway lines taking into account the limited resources of the traction rolling stock, the capacity of the stations and freight fronts at the cargo destination point. Solving this mathematical model allows to find a balance between the expenses for movement of train traffic flows from different railway lines to their terminal reference station and the expenses of a consignee, subject to the limitations of the technological logistics chain in cargo transportation. For the solution of this mathematical model, a Real-coded Genetic Algorithm (RGA) was used.
Development of a Toolkit for Analyzing Software Debugging Processes Using the Constructive Approach
(ПП Технологічний Центр, Харків, 2020) Shynkarenko, Viktor I.; Zhevago, Oleksandr O.
ENG: Constructive-synthesizing modeling and the Process Mining methods in a toolkit to monitor and analyze the software debugging process were applied. Methods for monitoring the development and debugging processes are the basis for improving the level of practical training of students, reducing the time that is used irrationally in the process of software development by a student, and in monitoring the processes of performance of tasks by a teacher. The process of software debugging is seen as a sequence of actions when dealing with relevant tools. Using the methodology of constructive-synthesizing modeling, a constructor for forming a debugging actions log was developed. Based on the constructive model, the extension to the integrated development environment (IDE) Microsoft Visual Studio, in which all debugging actions are recorded in an event log, was designed. During debugging in the IDE, event logs are collected and then a conformance checking of these logs with regard to the reference model is performed. To do this, the ProM (Eindhoven Technical University, Netherlands), a platform for Process Mining methods, is used. By checking compliance, it is possible to compare different debugging processes and recognize behavioral similarities and differences. The main purpose of the developed toolkit is to collect debugging actions from the developer’s IDE. By better understanding how students grasp and deal with errors, one can help novices learn to program. Knowing how programmers debug can encourage researchers to develop more practically directed methods, enable teachers to improve their debugging curricula and allow tool developers to adapt the debugger to the actual needs of users. It is practically suggested to use the prepared tools in the software engineering course.
Development of an Approach to Ensure Stability of the Traction Direct Current System
(PC "Technology Center", Ukrainian State University of Railway Transport, Kharkov, 2018) Sychenko, Viktor G.; Kuznetsov, Valeriy; Kosariev, Yevhen M.; Hubskyi, Petro V.; Belozyorov, Vasiliy Ye.; Zaytsev, Vadym G.; Pulin, Mykola M.
EN: The result of applying the quantitative approach to the calculation of static stability of the traction power system helped us establish that when a train runs along an actual section there emerge zones with lack of stability in terms of voltage. Exact solution to the task of evaluating the stability is extremely difficult because of the need to compute the nonlinear dependences determining the modes of operation of the traction power system and electric rolling stock. In this work, we constructed a system of four autonomous nonlinear differential equations based on experimental data that simulate the behavior of current and voltage in the contact network. We also calculated stability regions for voltage regulators in the traction network, which stabilize voltage at pantographs of electric rolling stock. The obtained stability regions of voltage regulators made it possible to estimate resource of stability and to find the most robust regulators out of those constructed. The study revealed that the non-linear regulator has better robust properties than the linear one. In this case, stability of the linear regulator is very narrow ‒ Δk=0.000004, which is an order of magnitude lower than for the non-linear regulator. When applying the non-linear regulator, voltage in the contact network stabilizes 3 times faster regardless of the place of its location. Application of the devised approach would make it possible to calculate the stability regions for various schematics of the traction network in the implementation of high-speed motion and to narrow the range of voltage fluctuations. The developed dynamic model of power consumption processes, as well as the voltage regulator, could be used when constructing an intelligent, adaptive traction power system for high-speed motion.
Development of Ontological Support of Constructive-Synthesizing Modeling of Information Systems
(НВП ПП «Технологічний Центр», Харьків, 2017) Skalozub, Vladyslav V.; Ilman, Valeriy M.; Shynkarenko, Viktor I.
ENG: The methodology of ontological support of the processes of constructive-product modeling (CPM) of structurally complex information technologies (CCIT) is developed. Ontology models of subject areas are formed and presented on the basis of a constructive structure containing primary classes of ontology instances, active binding operators of actions and performers, classes of comparative properties, subordination and evolutionary development. The universality of the model of the ontological constructive structure, the possibility of its development and customization on subject areas allows to improve the quality of the automated processes of creating.
Devising an Analytical Method for Solving the Eighth-Order Kolmogorov Equations for an Asymmetric Markov Chain
(РС ТЕСHNOLOGY СЕNTЕR, Kharkiv, 2024) Kravets, Victor; Kapitsa, Mykhailo I.; Domanskyi, Illia; Kravets, Volodymyr; Hryshechkina, Tatiana S.; Zakurday, Svitlana
ENG: The object of research is a complex system of three subsystems, which function independently of each other and are in a working or failed state. There is a need to analytically model and manage the Markov random process in the system, varying the intensity of their development-restoration and degradation-destruction flows. In the study, an analytical method for solving Kolmogorov equations of the eighth order for an asymmetric Markov chain was devised. The corresponding Kolmogorov equations of the eighth order have an ordered transition probability matrix. The distribution of the eight roots of this equation in the complex plane has central symmetry. The results are analytical solutions for the probabilities of the eight states of the Markov chain in time in the form of ordered determinants with respect to the indices of the eight roots and the indices of the eight states, including the column vector of the initial conditions. Symmetry has been established in the distribution on the complex plane of eight real, negative roots of the characteristic Kolmogorov equation centered at the point defined as Re ϑ = –a7/8, where a7 is the coefficient of the characteristic equation of the eighth degree at the seventh power. Formulas expressing eight roots of the characteristic Kolmogorov equation have been heuristically derived, one of which is zero, due to the intensities of failures and recovery of three subsystems, the eight states of which in general make up an asymmetric Markov chain. For structures consisting of three independently functioning processes, the random process of the transition of the structure through eight possible states with a known initial state is determined in time. An analytical solution to Kolmogorov differential equations of the eighth order for an asymmetric state graph is proposed in harmonic form for the purpose of analysis and synthesis of a random Markov process in a triple system.
Discrete Processes and Chaos in Systems of Ordinary Differential Equations
(Oles Honchar Dnipro National University, Dnipro, Ukraine, 2022) Belozyorov, Vasiliy Ye.; Volkova, Svetlana A.
ENG: A method for constructing a one-dimensional discrete mapping describing a certain periodic process in a general system of ordinary autonomous differential equations is proposed. The resulting discrete mapping is then used to prove the existence of chaos in the original system of differential equations.
A Dual Approach to Establishing the Authority of Technical Natural Language Texts and Their Components
( Ukrainian State University of Science and Technologies, Dnipro, 2023) Shynkarenko, Viktor I.; Demidovich, Inna M.; Kuropiatnyk, Olena S.
ENG: Purpose. The study is aimed at testing the hypothesis that it is possible to determine plagiarism by methods of establishing the authorship of a text without using a text bank and their direct comparison. Methodology. Construc-tive and productive models of the processes of establishing the authorship of technical texts for two methods have been developed. The first method is based on the formation of a text model in the form of a set of formal substitution rules with probabilistic weights (as in stochastic formal grammars), which reflects the syntactic features and patterns of text formation by the author. The degree of similarity between the text under study and another text is determined by comparing their models. The second method is a classical approach to detecting borrowings (plagiarism) by directly comparing the text under study with an existing text bank, highlighting repeated text fragments, and determining the degree of originality. Experiments were conducted to establish the correlation between the results of these two methods. The experimental base consisted of 509 text sections of theses of students majoring in «Software Engineering». Findings. Experimental studies have made it possible to establish a high correlation between the results of the two methods. Correlation coefficients in the range of 0.75...1.0 and with an average value of 0.88 were obtained provided that borrowings are taken into account for text fragments of at least five words in length. Originality. For the first time, the authors have identified the possibilities and proposed methods for indirect plagiarism detection without using a large text bank. The essence of the model is to formalize the representation of the author's sentence syntax by a set of substitution rules with probabilistic weights. Practical value. Based on the results obtained, the possibilities for detecting borrowings have been expanded and the effectiveness of the corre-sponding methods has been increased. Recommendations on the parameters of classical methods for detecting borrowings have been obtained, in particular, it is recommended to take into account text fragments of at least five words in length as a rational parameter when using borrowing detection systems. The possibilities of text authorship detection methods tested on fiction texts are extended to technical texts.
Dynamics of the Interbank Exchange using Neural Technologies
(Scientific Publishing Center “Sci-conf.com.ua”, Lviv, Ukraine, 2022) Volkova, Svetlana A.; Anofriev, Pavlo G.; Hiliavskyi, Denys
ENG: Artificial intelligence is used to predict various events. Recently, the direction of predicting the exchange rate of bitcoin in pair with the dollar has been actively developing. Due to volatility, it is very difficult to predict the price of cryptocurrency. Recurrent neural network are proposed in the work.
Energy-Efficient and Cost-Effective Methods of Driving Trains under the Conditions of Development of the Electricity Market
(Dnipro National University of Railway Transport named after Academician V. Lazaryan, 2019) Pshynko, Alexander N.; Afanasov, Andriy M.; Kuznetsov, Valeriy; Skalozub, Vladyslav V.; Arpul, Serhii V.; Ivanov, Alexander P.
ENG: Abstract. The article for the first time considers the possibilities for the organization of cost-effective rail transportation on electrified section in terms of the functioning of the Ukrainian balancing electricity market. It is formulated the complex task of choosing effective mechanisms of purchase and sale on the electricity market on the basis of contracts for the implementation of markets "for the day ahead", as well as for the appointment of parameters and tariffs of the intraday market. The authors presented the models and results of calculations of optimum modes of trains’ driving, which are calculated for various criteria of efficiency taking into account the cost of the consumed active and reactive electric energy. The technique of tariff formation for purchase of electricity on the balancing market was proposed.
Evaluation of Effectiveness of Piggyback Traffic within the National Network of International Transport Corridors of Ukraine
(Publishing House of University of Technology, Katowice, 2022) Muzykin, Mykhailo I.; Nesterenko, Halyna I.; Kuzmenko, Albina
ENG: The increasing role of education and science in modern society has caused changes in its understanding. Modern education becomes a condition for the country's development, a guarantor of its security, determines the level of the economy. Thus, education and science for sustainable development must function as a direct generator of new socio-economic life and produce social, environmental, and economic changes towards sustainable development. In addition, one of the main tools for sustainable development should be the close interaction of education with science. Therefore, the problem of supporting the development of education and science is deeply social and is one of the priorities of social development, which is directly related to the system of national interests, improving the quality of life and national security. The monographic research presents the scientific works of the team of authors that reveal different directions and aspects of science and education in providing sustainable development. These are: 1) Financial and Economic Principles of Sustainable Development; 2) Innovative and Information Technologies in Education: Applied Aspects; 3) Socio-Humanitarian Aspects of Sustainable Development; 4) Technical Solutions to Ensure Sustainable Development. The third section of the monograph "Socio-Humanitarian Aspects of Sustainable Development" looks at the environmental, linguistic, psychological, cultural, and art-therapeutic aspects of the development of society. The team of authors hopes that the monograph contains useful research results that are relevant for scientists, students and anyone interested in various aspects of education and science, given their significance in various areas of public life.
Forecasting the Estimated Time of Arrival for a Cargo Dispatch Delivered by a Freight Train Along a Railway Section
(НВП ПП «Технологічний Центр», Харьків, 2019) Prokhorchenko, Andrii V.; Panchenko, Artem; Parkhomenko, Larysa; Nesterenko, Halyna I.; Muzykin, Mykhailo I.; Prokhorchenko, Halyna; Kolisnyk, Alina
ENG: This paper reports a method for predicting the expected time of arrival (ETA) of a cargo dispatch taking into consideration determining the duration at which a freight train travels along a railroad section where trains move not complying with a departure schedule. A characteristic feature of railroads with such a traffic system is the difficulty in predicting the stages of a transportation process, which necessitates the development of effective methods of forecasting. Based on correlation analysis, we have determined the dependence of the general macro-characteristics of train flow and individual parameters of a freight train on the duration of its movement along a section. It has been proposed to represent the dependence of predicted duration of train movement along a railroad section on the following factors: traffic intensity and density along a section, the proportion of passenger trains in total train flows, the length of a train and its gross weight. All experimental studies are based on actual data on the operation of the distance Osnova-Lyubotyn at the railroad network AO Ukrzaliznytsya. Based on a comparative analysis, using the indicators for accuracy and adequacy of several regression methods to predict ETA of cargo dispatch, we have chosen the regression model based on an artificial neural network MLP. To derive the MLP structure, a cross-validation method has been applied, which implies the validation of a mathematical model reliability based on the criteria of accuracy MAE and adequacy ‒ F-test. The structure of MLP has been obtained, which consists of five hidden layers. We predicted the time that it would take for a train to travel in facing direction along the Osnova-Lyubotyn section. For a given projection, the value for MAE was 0.0845, which is a rather high accuracy for this type of problems, and confirms the effectiveness of MLP application to solve the task on predicting a cargo dispatch ETA. The current study provides a possibility to design in the future an automated system for predicting a cargo dispatch ETA for a mixed-traffic railroad system in which freight trains depart not complying with a regulatory schedule.
Formulation of the Mathematical Model for the Planning System in the Carriage of Dangerous Goods by Rail
(IOP Publishing, 2020) Bibik, Svitlana I.; Strelko, Oleh; Nesterenko, Halyna I.; Muzykin, Mykhailo I.; Kuzmenko, Albina
ENG: The paper aims to the topical issue of improving the system in the planning of carriage of dangerous goods by rail subject to ensuring a high level of safety of the transport process and minimal costs for its implementation. Formalization of this process leads to the formation of an optimization task of the two-stage mathematical model. To implement the first stage, a mathematical model in searching the best route based on risk minimization is developed. In order to exclude the unacceptably complex and expensive options for the carriage of dangerous goods from the many possible routes, the authors abided by the condition not to exceed the critical operating costs. The second stage in the process of planning routes for dangerous goods takes into account the hazard identification study in the technological process of car movement with dangerous goods. Considering that the probability of a potential traffic accident is a complex random variable, which is due to a set of elementary previously unknown events, its estimation was made on the basis of the Bayesian approach. Based on the simulation results, the following reliability values are determined at which a transport accident should not emerge.
General Method of Construction of Implicit Discrete Maps Generating Chaos in 3D Quadratic Systems of Differential Equations
(World Scientific Publishing Company, 2014) Belozyorov, Vasiliy Ye.
EN: A method allowing to study the dynamics of 3D systems of quadratic diﬀerential equations by the reduction of these systems to the special 2D systems is presented. The mentioned 2D systems are used for the construction of new types of discrete maps generating the chaotic dynamics in some 3D autonomous systems of quadratic diﬀerential equations. Strong simpliﬁcation of all results gives an introduction of the Lambert function. Due to this function some implicit discrete maps become explicit. Examples are given.
Generating Chaos in 3D Systems Of Quadratic Differential Equations With 1D Exponential Maps
(World Scientific Publishing Company, 2013) Belozyorov, Vasiliy Ye.; Chernyshenko, Sergey V.
EN: New existence conditions of homoclinic orbits for some systems of ordinary quadratic differential equations with singular linear part are found. A realization of these conditions guarantees the existence of chaotic attractors at 3D autonomous quadratic systems. Examples of chaotic attractors are given.
Geometric Fractals' Constructive-Synthesizing Models using Ontological Means
(CEUR-WS Team, Aachen, Germany, 2024) Kuropiatnyk, Olena S.; Shynkarenko, Viktor I.; Zhuchyi, Larysa I.; Lyakhova, Maria
ENG: The paradigm of constructive-synthesizing modelling is based on the idea of the world as a collection of different structures. The development of constructive-synthesizing modelling provides an opportunity to automate the formation of structures. Automation possibilities depend on the degree of formalization and the quality of the corresponding models. In this work, the formalization of constructive-synthesizing models is enriched by the ontological representation of knowledge. This approach is demonstrated in the formation and display of geometric fractals. The developed models are implemented by software tools using Java and Apache Jena framework. It is possible to change the basic elements of fractals based on their ontological representation.
Homoclinic and Heteroclinic Neural Odes: Theory and Its Use to Construct New Chaotic Attractors
(Oles Honchar Dnipro National Universuty, Dnipro, 2025) Belozyorov, Vasiliy Ye.; Moroz, Dmytro M.; Volkova, Svetlana A.
ENG: New types of neural ordinary differential equations (NODE) with power nonlinearities are considered. For these NODE systems, new conditions for the existence of homoclinic and heteroclinic orbits are found. In the future, the implementation of these conditions guarantees the existence of chaotic attractors in the mentioned NODE systems.
Implicit One-Dimensional Discrete Maps and Their Connection with Existence Problem of Chaotic Dynamics in 3-D Systems of Differential Equations
(Elsevier, 2012) Belozyorov, Vasiliy Ye.
EN: New types of chaotic attractors for some 3-D autonomous systems of ordinary quadratic differential equations are founded. Examples are given.
An Improved Method of Determining the Schemes of Locomotive Circulation with Regard to the Technological Peculiarities of Railcar Traffic
(НВП ПП «Технологічний Центр», Харків, 2016) Butko, Tetiana V.; Prokhorchenko, Andrii V.; Muzykin, Mykhailo I.
UKR: Запропоновано удосконалення методів визначення схем обігу локомотивів з урахуванням технологічних особливостей вагонопотоків. Розроблено математичну модель, яка дозволяє знайти масу поїздів на маршрутах їх слідування, схеми обігу локомотивів та роботи бригад з врахуванням дислокації парку з різними серіями на полігоні мережі. Для рішення даної математичної моделі застосовано цілочисельний генетичний алгоритм з власною схемою кодування рішення.
Improvement of Supervisory Control of Train Movement by Means of Introduction of Operational Zones
(Дніпропетровський національний університет залізничного транспорту імені академіка В. Лазаряна, Дніпро, 2018) Nesterenko, Halyna I.; Bekh, Petro V.; Muzykin, Mykhailo I.; Avramenko, Svetlana I.
ENG: Purpose. The work is aimed to investigate the feasibility of transferring automatic control to low-density stations of the sections (according to the principle of supervisory control of train line) to the operators at principal stations. Methodology. The article analyzes the work of heavy traffic sections of the Ukrainian Railways JSC. It was found out that the information workload of dispatchers who control the train movement at the sections of the main course, constantly exceeds the permissible level. The possibility of using the technology of supervisory control of train movement by the introduction of operational zones has been investigated. Findings. The authors found out that the capacity of receiving and departure tracks at the stations of the sections is extremely limited. The occupancy of passing loop by the out-of-work trains hinders any regulatory measures at the sections. Trains pass one after another without giving priority, that is, they pass through the section in the order in which they entered it. Due to the limited number of tracks at the front-line intermediate station, freight trains are set for passing by the passenger ones at the distant approaches. This leads to a loss of service speed and reduces the level of utilization of the sections` working capacity. The introduction of operational zones will significantly reduce information flows and facilitate the work of the train dispatchers at the, create the necessary conditions for creative decision-making on the internal section regulation, and will contribute to increase in the service speed of trains. Originality. The article developed a new technology to improve the management of train sections by dividing them into operational zones. In each zone, consisting of two or three passes, the train movement can be controlled by the duty officer of the principal station, performing in this case the functions of the train dispatcher. Practical value. It has been proposed to put trains from technical stations that idle due to uneven movement, especially the trains from the terminal stations (division points) of the locomotive circulation sections, to reserve routes of the front-line intermediate stations. Laying the reserve tracks and their content, taking into account the frequency of use and reduced allowable speed, can be allowed according to less tight standards for the construction of the roadbed, ballast section, sleeper density, taking into account the use of switches and decommissioned tracks.
Improvement of the Automated Control Technology of Trains Traffic with Dangerous Goods
(IEEE, 2021) Bibik, Svitlana I.; Nesterenko, Halyna I.; Muzykin, Mykhailo I.; Kuzmenko, Albina
ENG: This article is devoted to the actual issue of improving the automated control technology of trains traffic with dangerous goods due to the addition of the existing set of tasks. These tasks are solved on the basis of operating automatized working places of dispatching personnel, by the software for decision-making support system developed on the basis of the graph of the Bayesian Belief Network that describes the security status of trains traffic en route. The scientific value of the article lies in the development of new technology for planning and managing the transport of dangerous goods through intelligent support for decisions at the tactical and operational levels.