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# Факультет прикладних комп'ютерних технологій (ІПБТ) <br> Інститут промислових та бізнес технологій (ІПБТ)

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Інститут промислових та бізнес технологій (ІПБТ) EN: Faculty of Applied Computer Technology

Institute of Industrial and Business Technologies

Інститут промислових та бізнес технологій (ІПБТ) EN: Faculty of Applied Computer Technology

Institute of Industrial and Business Technologies

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### Browsing Факультет прикладних комп'ютерних технологій (ІПБТ) <br> Інститут промислових та бізнес технологій (ІПБТ) by Title

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Item Analysis of Methodologies for Carbon Stock Estimation in Forests(Український державний університет науки і технологій, ННІ «Інститут промислових та бізнес технологій», ІВК «Системні технології», Дніпро, 2022) Kavats, Olena O.; Khramov, Dmitriy A.; Sergieeiva, Kateryna L.; Vasyliev, Volodymyr V.Show more ENG: Current approaches to carbon stock estimation in forest ecosystems are discussed. Datasets containing biomass and carbon stock estimates that can be used for training/validation in machine learning are described. Examples of applying the remote approach to assessing forest biomass over large areas are analyzed. To estimate the forest carbon stocks in Ukraine, the most promising is the remote approach, which combines ground-based and satellite measurements for forest classification and statistical modeling of carbon stocks. For training and validation of machine learning algorithms, it is proposed to use the GEDI Biomass Map covering most of the territory of Ukraine — from the southern borders to the latitude of Chernihiv in the north. A prototype of forest biomass estimating product in Ukraine can be based on publicly available MODIS NBAR data, SRTM DEM, ECMWF climate data and use the Random Forest machine learning method.Show more Item Analysis of Monolithic and Microservice Architectures Features and Metrics(Хмельницький національний університет, Україна, 2021) Selivorstova, Tatjana V.; Klishch, Sergey M.; Kyrychenko, Serhii; Guda, Anton I.; Ostrovskaya, Kateryna Yu.Show more ENG: In this paper the information technologies stack is presented. These technologies are used during network architecture deployment. The analysis of technological advantages and drawbacks under investigation for monolithic and network architectures will be useful during of cyber security analysis in telecom networks. The analysis of the main numeric characteristics was carried out with the aid of Kubectl. The results of a series of numerical experiments on the evaluation of the response speed to requests and the fault tolerance are presented. The characteristics of the of monolithic and microservice-based architectures scalability are under investigation. For the time series sets, which characterize the network server load, the value of the Hurst exponent was calculated. The research main goal is the monolithic and microservice architecture main characteristics analysis, time series data from the network server accruing, and their statistical analysis. The methodology of Kubernetes clusters deploying using Minikube, Kubectl, Docker has been used. Application deploy on AWS ECS virtual machine with monolithic architecture and on the Kubernetes cluster (AWS EKS) were conducted. The investigation results gives us the confirmation, that the microservices architecture would be more fault tolerance and flexible in comparison with the monolithic architecture. Time series fractal analysis on the server equipment load showed the presence of long-term dependency, so that we can treat the traffic implementation as a self-similar process. The scientific novelty of the article lies in the application of fractal analysis to real time series: use of the kernel in user space, kernel latency, RAM usage, caching of RAM collected over 6 months with a step of 10 seconds, establishing a long-term dependence of time series data. The practical significance of the research is methodology creation of the monolithic and microservice architectures deployment and exploitation, as well as the use of time series fractal analysis for the network equipment load exploration.Show more Item Application of Two-Dimensional Padé-Type Approximations for Image Processing(National University «Zaporizhzhia Polytechnic», Zaporizhzhia, 2023) Olevskyi, V. I.; Hnatushenko, Volodymyr V.; Korotenko, G. M.; Olevska, Yu. B.; Obydennyi, Ye. O.Show more ENG: Context. The Gibbs phenomenon introduces significant distortions for most popular 2D graphics standards because they use a finite sum of harmonics when image processing by expansion of the signal into a two-dimensional Fourier series is used in order to reduce the size of the graphical file. Thus, the reduction of this phenomenon is a very important problem. Objective. The aim of the current work is the application of two-dimensional Padé-type approximations with the aim of elimination of the Gibbs phenomenon in image processing and reduction of the size of the resulting image file. Method. We use the two-dimensional Padé-type approximants method which we have developed earlier to reduce the Gibbs phenomenon for the harmonic two-dimensional Fourier series. A definition of a Padé-type functional is proposed. For this purpose, we use the generalized two-dimensional Padé approximation proposed by Chisholm when the range of the frequency values on the integer grid is selected according to the Vavilov method. The proposed scheme makes it possible to determine a set of series coefficients necessary and sufficient for construction of a Padé-type approximation with a given structure of the numerator and denominator. We consider some examples of Padé approximants application to simple discontinuous template functions for both formulaic and discrete representation. Results. The study gives us an opportunity to make some conclusions about practical usage of the Padé-type approximation and about its advantages. They demonstrate effective elimination of distortions inherent to Gibbs phenomena for the Padé-type approximant. It is well seen that Padé-type approximant is significantly more visually appropriate than Fourier one. Application of the Padé-type approximation also leads to sufficient decrease of approximants’ parameter number without the loss of precision. Conclusions. The applicability of the technique and the possibility of its application to improve the accuracy of calculations are demonstrated. The study gives us an opportunity to make conclusions about the advantages of the Padé-type approximation practical usage.Show more Item Automated Building Damage Detection on Digital Imagery Using Machine Learning(Dnipro University of Technology, Ukraine, 2023) Kashtan, Vita Yu.; Hnatushenko, Volodymyr V.Show more ENG: Purpose. To develop an automated method based on machine learning for accurate detection of features of a damaged building on digital imagery. Methodology. This article presents an approach that employs a combination of unsupervised machine learning techniques, specifically Principal Component Analysis (PCA), K-means clustering, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN), to identify building damage resulting from military conflicts. The PCA method is utilized to identify principal vectors representing the directions of maximum variance in the data. Subsequently, the K-means method is applied to cluster the feature vector space, with the predefined number of clusters reflecting the number of principal vectors. Each cluster represents a group of similar blocks of image differences, which helps to identify significant features associated with fractures. Finally, the DBSCAN method is employed to identify areas where points with similar characteristics are located. Subsequently, a binary fracture mask is generated, with pixels exceeding the threshold being identified as fractures. Findings. The introduced methodology attains an accuracy rate of 98.13 %, surpassing the performance of conventional methods such as DBSCAN, PCA, and K-means. Furthermore, the method exhibits a recall of 82.38 %, signifying its ability to effectively detect a substantial proportion of positive examples. Precision of 58.54 % underscores the methodology’s capability to minimize false positives. The F1 Score of 70.90 % demonstrates a well-balanced performance between precision and recall. Originality. DBSCAN, PCA and K-means methods have been further developed in the context of automated detection of building destruction in aerospace images. This allows us to significantly increase the accuracy and efficiency of monitoring territories, including those affected by the consequences of military aggression. Practical value. The results obtained can be used to improve automated monitoring systems for urban development and can also serve as the basis for the development of effective strategies for the restoration and reconstruction of damaged infrastructure.Show more Item Coefficient of Local Loss of Mechanical Energy of the Flow for a Mixture of Charge Materials(Dnipro University of Technology, 2021) Selegej, Andriy Mikolayovich; Ivaschenko, Valeriy; Golovko, Vjacheslav Iljich; Kiriya, R.; Kvasova, Luydmila SergijvnaShow more ENG: Purpose. To determine the dependence of the coefficient of local losses of mechanical energy of flow of a twocomponent mixture of charge material on its depth, content of components, and average equivalent diameter of particles in the case of their freedispersed motion. Methodology. The value of the coefficient of local losses of mechanical energy was determined by the value of the hydraulic resistance of the fluid during its movement in open channels and pipes. In this paper, methods were used of comparative analysis, mathematical modeling and forecasting of dynamic processes in the flow of granular material. findings. Based on the results of theoretical studies, a mathematical model was obtained, the use of which allows calculating the coefficient of local losses of mechanical energy for the flow of a twocomponent mixture of charge materials with agglomerate particle sizes from 15 to 50 mm, pellets from 6 to 12 mm, coke from 10 to 60 mm. The developed model with satisfactory accuracy makes it possible to evaluate the movement of the charge from the indicated materials along the paths of the charging devices of blast furnaces at a speed in the range from 1.5 to 20 m/s and to determine the trajectories of the mixture of charge materials on the top with an accuracy of 0.2 m. It is noted that the calculation of the above coefficient by the known techniques is not accurate enough, which is associated with the uncertainty in the choice of a single average equivalent diameter of the particles of the two component charge. Comparative analysis of the developed model with the known models and experimental data indicates that the accuracy of calculating the dynamic parameters of a twocomponent flow of charge materials using the developed model increases by 5–10 % in comparison with calculations using the previously known models. Originality. For the first time, regularities of changes in the coefficient of internal mechanical losses of a twocomponent flow of charge materials from its depth, content of components, average equivalent particle diameters when moving along the paths of charging devices of blast furnaces have been established. practical value. Mathematical dependencies have been developed and can be used to determine the technological parameters of the charge of a modern blast furnace with different characteristics of the granulometry of the charge and the ratios of its components. This will increase the accuracy of predicting the course of the process under consideration, the degree of automation of the control systems for the technological process of the charge supply of blast furnaces, will make it possible to use expensive charge materials more efficiently, reduce energy consumption and reduce the harmful impact on the environment.Show more Item Complex of Mathematical Models and Methods to Calculate Pressure Effect on Sulfide Distribution in Steel(Хмельницький національний університет, Україна, 2021) Selivyorstova, Tetjana V.; Selivyorstov, Vadim Yu.; Kuznecov, Vitaliy V.Show more ENG: Primary objective is to develop computational method to analyze digital pictures of sulfide prints, helping obtain qualitative image characteristics, and to formulate mathematical model of the distribution of sulphide inclusions to determine specific features of the pressure effect on the macrostructure formation of carbon steel castings flooded into the uncooled mold. The research was carried out using images of sulfide prints of templates cut of steel cylindrical castings; L500 steel was applied. The castings result from industrial tests of a method of gas-dynamic effect on the fusion in the foundry forms under the conditions of a casthouse of Dnipropetrovsk aggregate plant PJSC. Digital pictures of sulfide prints, obtained in terms of the increased rate of gas pressure and maximum pressure, were binarized; defective fra gments were removed; and zo ning took place. The developed computational method has been applied for fragments of images, representing different zones; data arrays have been received containing sizes and amounts of inclusions in the fragment. The developed computational method to analyze digital images of sulfide prints has been implemented. ASImprints software support has helped obtain qualitative characteristics of images; namely, distribution of amount of the certain-size sulfide inclusions. The computational method to analyze digital images of sulfide prints has made it possible to study the set of patterns of sulfide prints. The dependences have been obtained, describing specific features of sulfide inclusion distribution while varying gas-dynamic pressure method in terms of fusion in the casting form. It has been demonstrated that the distribution describes effectively the power-series distribution to compare with the exponential one. Mathematical model of the power -series distribution parameter dependence upon pressure has been developed. Deviation of the distribution parameters in terms of the experimental values and the model values has been evaluated. The research demonstrates the ways to apply an algorithm of simple recursive casting for quantitative analysis of digital images of sulfide prints. Use of ASImprints, being software implementation of the computational method to analyze digital images of sulfide prints making it possible to obtain qualitative characteristics of images, has helped identify that the increased pressure within a casting-device for gas injection system results in the increased specific amount of inclusions and the decreased specific zone of sulfide inclusions respectively. It has been defined that exponential function describes reliably the nature of sulfide inclusion distribution in the digital image of sulfide print. The research has demonstrated that fragments of a sulfide print, belonging to one zone, are statistically homogeneous. Thus, it is possible to analyze quantitively digital image zone of a sulfide print on its fragment. Mathematical model of dependence of sulfide inclusion distribution in carbon-steel castings in terms of gas-dynamic effect on fusion solidifying in a mold has been developed. The model may be applied to predict sulfide inclusion distribution within the selected zones of cross section of the cylindrical castings solidifying in the uncooled mold in terms of the preset mode of gas-dynamic effect.Show more Item Computer Modeling of Harmful Impurities Transfer(Scientific Publishing Center “Sci-conf.com.ua”, 2021) Moroz, Borys Ivanovych; Shvachych, Gennady Grygorovych; Chorna, Valentyna Ivanivna; Voroshylova, Nataliiya VolodymyrivnaShow more ENG: The paper considers solutions to the ecology problems, which set is formulated from cause-effect relationships. According to the adopted model, the equation’s coefficients for the harmful impurities transfer are attributed to the causal features of the process. Herein, the setting of cause-and-effect links is the goal of the ecology’s direct problems. Along with direct methods of mathematical modeling of harmful impurities transfer in the atmosphere from pollution sources, the paper considers the formulation and methods of solving inverse problems, which essence is to estimate the input parameters based on actual information about the modeled system, known from the experiment. Based on the research results, a software package was developed to implement the solution of the coefficient inverse problems of ecology using the mathematical modeling method.Show more Item Computer Modeling of Territory Flooding in the Event of an Emergency at Seredniodniprovska Hydroelectric Power Plant(Dnipro University of Technology, Ukraine, 2022) Ivanov, D. V.; Hnatushenko, Volodymyr V.; Kashtan, Vita Yu.; Garkusha, I. M.Show more ENG: Purpose. Computer modeling of territory flooding in the event of an emergency at Seredniodniprovska Hydroelectric Power Plant (HPP). Methodology. The computer model of possible territory flooding at Seredniodniprovska HPP is developed using simulation modeling methods and geometric and hydrological approaches and considers initial boundary conditions of the water-engineering system. Calculations of the wave break height and the half-divided cross-sectional area of the river bed were made and a three-dimensional model of the territory flooding was built using the Python language and ArcGIS Desktop software. Findings. The data for each creation of the hydraulic node, namely the depth and width of the flooded territory, were calculated. This allowed analyzing the macro level considering the triangulation model of the surface. The wave break parameters and flaps (intersections) were taken into account in case of a dam break at a hydroelectric power plant or a rise in the water level. A mathematical model, and a 3D model were developed, and a forecast of the flood zone due to an emergency was made using satellite survey data. Originality. The mathematical method received further development for calculating flood territories in the event of an emergency at Seredniodniprovska Hydroelectric Power Plant, taking into account the parameters of the breakthrough wave and the calculation of cross-sections for the cases when a hydroelectric dam breaks or the water level rises; the method uses one-dimensional and two-dimensional systems of Saint-Venant equations, and geometric and hydrological approaches. A three-dimensional model of the territory flooding is developed to predict possible consequences. Practical value. The obtained results can be used to model the flooding of the territory located near dangerous hydro-technical objects, such as dams, dikes as well as to forecast flooded territories during the construction of drainage and protective structures.Show more Item Computer System for Mechanisms Diagnosis(Ukrainian State University of Science and Technologies, Dnipro, 2022) Ivashchenko, Valeriy; Shvachych, Gennady; Sushko, LarysaShow more ENG: The computer system proposed in this work is aimed at solving the problem of automating a comprehensive assessment of the technical functioning of mechanisms. The system’s computational equipment have the minimum necessary computing requirements. No additional paid software is required for installation. Unlike existing systems, the proposed one has a moderate cost. For the majority of industrial enterprises, this factor is crucial when choosing the most beneficial computer system. In addition, the developed system is simple and comfortable to use. Thus, the system has an intuitive and intelligible interface for the operator, which allows the operator to quickly familiarize themselves with it and put it to use immediately; the system monitors the correctness entries in the electronic history - it corrects basic fields that are not properly indicated (repair data, repair requests, part price, etc.). The system has the ability to add individual templates for a specific unit. Unlike existing systems, the proposed system is multifunctional.Show more Item Decentralized Information System for Supply Chain Management Using Blockchain(RWTH Aachen, Germany, 2022) Sytnyk, Roman; Hnatushenko, Viktoriia V.; Hnatushenko, Volodymyr V.Show more ENG: Development of international and domestic trade, globalization, creation of longer and more complex supply chains, increase in sales of goods and similar trends lead to an increase in requirements and load on information systems that manage and monitor the shipments of goods, resources and products. The aim of this paper is to make improvements to the existing approaches of building and designing logistics information systems. The paper proposes usage of blockchain technology in order to simplify and make more transparent the processes of monitoring and managing the movement of products between different equal participants in logistics supply chain information systems. A prototype of the supply chain information system based on the use of blockchain technology and smart-contracts using a decentralized Ethereum virtual machine was developed and studied in comparison with traditional approaches.Show more Item Detection of Forest Fire Consequences on Satellite Images Using a Neural Network(German Society for Photogrammetry, Remote Sensing and Geoinformation, 2023) Hnatushenko, Viktoriia V.; Hnatushenko, Volodymyr V.; Kashtan, Vita; Heipke, ChristianShow more ENG: The objective of this research is the detection of burnt forest areas from Sentinel-2 imagery. The proposed algorithm uses an approach based on convolutional neural networks (CNN). The functionality of the created system allows solving the task, starting from the moment of receiving the input data, image preprocessing and ending with the export of a hot-spot fire polygonal file describing the area that was burnt. These results are compared to methods based on the dNBR and a variant of BAIS2 called dBAIS2, which are generated from measurements in the near and middle IR channels of the Sentinel images. The proposed algorithm was tested on Sentinel satellite images acquired from June to September 2021for the Tizi Ouzou region, Algeria. We found it to have an overall accuracy of 97%, outperforming the results obtained from dNBR and dBAIS2 by large margins.Show more Item Developing Software to Solve Certain Problems of Inventory Management(Видавництво «Молодий вчений», 2022) Lozovska, Lyudmila I.; Bandorina, Lily M.Show more ENG: In modern conditions of intensifying competition in consumer markets, stable operation of enterprises is ensured by the implementation of strategies for maximum satisfaction of consumer demand for goods and related services. Planning such strategies requires improvements in various enterprise systems, in particular, the inventory management system based on the rationalization and optimization of product flows, use of appropriate models and methods for these tasks. Every company strives to satisfy the customer at the highest possible level. This task requires a significant investment in inventory. At the same time, an equally important task is to find new opportunities to reduce all types of costs and increase profits, therefore, from the point of view of finance, the ideal state is when there is no stock while the production needs of the company are met in full. But such a situation is absolutely impossible in real conditions. In order to work as efficiently as possible and reach acceptable financial indicators, it is necessary to effectively manage inventory stock at the enterprise. An essential feature of inventory modeling process is uncertainty in real conditions, which is associated with the inaccuracy or incompleteness of information about demand, supply, time delays of ordered goods, product spoilage and other parameters of the logistics system. This necessitates an effective inventory management mechanism in conditions of uncertainty. Solving this problem requires calculation of exact date and quantity of each subsequent order. Most modern software packages for inventory management are quite difficult to understand or require large financial expenses. In addition, most practical applications are designed for deterministic parameters of demand and production schedule. In fact, demand has a high level of uncertainty, which requires improved algorithms using stochastic theory of inventory management. Thus, a number of issues related to this field still remain unresolved or incompletely resolved. Most publications consider the classic toolkit with some well-known modifications. However, classic models are quite difficult to apply in in real life because the ideal conditions are difficult to achieve in practice. The models do not take into account the limitations imposed by internal and external factors. Based on this, we have created software that would perform the required task. The final product of the research is a software product that enables warehouse operators and managers to optimize drafting a schedule of production inventory deliveries in conditions of demand uncertainty, as well as controlling deliveries based on an economic-mathematical model of inventory management in conditions of demand uncertainty. The software is able to determine the optimal period of delivery of several types of resources, total costs for storage and ordering, the effect of the obtained savings, speeding up and simplifying the dispatcher's work.Show more Item Development of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology(Springer, Singapore, 2022) Shvachych, Gennady G.; Pobochii, Ivan A.; Sashchuk, Hanna; Dzhus, Oleksandr; Khylko, Olena; Busygin, VolodymyrShow more ENG: The paper proposes and explores a new blockchain system that operates on a linearly scalable consensus mechanism. This selection method confirms the shard through shares voting and scalable random generation by VDF (Verifiable Delay Function) and VRF (Verifiable Random Function). The system analyzes available consensus mechanisms, sharding, and the age of distributed randomness. It is energy efficient, fully scalable, secure, with fast consensus. Compared to available methods, the improved shard method performs network connection and transaction verification and reveals the state of the blockchain. The threshold has a sufficiently low coefficient for small validators to participate in the network and receive rewards. The proposed sharding process runs securely due to a distributed randomness (DRG) process that is unpredictable, impartial, and verified. The network is constantly overloaded to prevent slow adaptive Byzantine malicious validators. Contrary to other sharding blockchains that require Proof-of-Work to select validators, the proposed consensus is attributed to Proof-of-Stake, therefore, energy-efficient. Herein the consensus is achieved by a BFT algorithm which is linearly scalable and faster than PBFT.Show more Item Development of a New Ergonomic Risks Management Algorithm on the Example of Drivers(РС ТЕСHNOLOGY СЕNTЕR, Kharkiv, 2024) Tsopa, Vitaliy; Cheberiachko, Serhii; Cheberiachko, Yurii; Deryugin, Oleg; Chencheva, Olga; Rieznik, Dmytro; Klimov, Eduard; Lashko, Yevhenii; Pashko, Dmytro; Biliaieva, Viktoriia V.Show more ENG: The object of the study: the process of determining and managing ergonomic risks at workplaces when performing professional activities on the example of truck drivers. The problem lies in uncertainty when making decisions in occupational safety and health management systems. The hypothesis of the study was the possibility of assessing ergonomic risks in the occupational safety management systems of organizations based on the identification of regularities between the load index, typical working postures when performing operations and the intensity of joint movements. An ergonomic risk assessment algorithm was developed, taking into account the load index, which includes a sequence of eleven steps, which can be conditionally divided into three groups. The first is determination of the intensity of joint movement. The second is the determination of the impact of activity and the duration of the production task. The third is determining the impact of environmental factors. An assessment of the ergonomic risk of drivers was carried out for three types of production work: driving a vehicle, replacing a damaged wheel, and repairing a car. At the same time, the ergonomic risk assessment algorithm takes into account the worker’s individual state of health and environmental factors, as well as experience and work experience. It has been established that there is a high level of ergonomic risk during car maintenance due to the highest total load index, which is 30 % higher compared to other types of work of vehicle drivers. The practical application consists in the development of a universal check list of drivers based on an algorithm to determine the ergonomic risk of workers at workplaces, which consists of 11 steps.Show more Item Development of Software Module for Analysis of It Specialists’ Labor Market(Odesa National University of Technology, 2022) Dub, Anhelina; Zhurba, Anna O.Show more ENG: The paper describes how software module was developed to analyze the labor market of IT professionals using the Python programming language in the integrated programming environment. The software module screens, crawls, parses and exports data from specialised sites. The software module allows to find, structure and export data to CSV and TXT files. The sample of key parameters was investigated by means of business analytics. The developed program can be expanded with additional functions, supplemented by a graphical interface, uploaded to the web hosting. The software module provides processing of a large array of unstructured information from vacancy announcement sites, reduces the amount of routine manual operations and provides an opportunity to focus stakeholders’ attention on key priorities. The aim of the work is to develop a parsing software module for automated collection and analysis of open position data to determine which knowledge and skills are most important for employers in the IT industry.Show more Item Development of Software Module for Determining Rational Capital Structure of the Enterprise(Khmelnytskyi National University, 2022) Savchuk, Larysa M.; Bandorina, Liliia M.; Udachina, Kateryna O.; Sokyrynska, Iryna; Savchuk, Roman V.Show more ENG: The relevance of research on the use of information technologies to solve applied problems, in particular, financial policy management at the micro level has been revealed in this article. The own definition of the concept of financial policy at the enterprise level has been proposed as a triad of the main content principles, namely: asset management, cash flow management, liability management. It has been established that research in the field of financial policy is mostly theoretical, therefore the development of software module based on the model of solving a practical problem presented in the article is relevant for Ukrainian enterprises. After structurization and determination the list of financial policy tasks, an original improvement of one of the important components in asset management, namely the task of modeling the amount of receivables, has been proposed. In order to obtain the maximum economic effect, it has been proposed to suggest to calculate the optimal level of accounts receivable. Using of the method of approximation of the non-linear dependence of receivables on the credit period, which was initiated by O. I. Luchkov, has been substantiated. The principles of the methodics have been defined, its modification and clarification have been proposed in the direction of the development of methods for calculating the numerical values of all components of the model in the article. This method allows the obtaining the optimal term of the credit period in days and the optimal amount of receivables in monetary terms. Model experiment has been executed to test the model's operation, during which data from the financial statements of one of the operating enterprises have been used. The obtained results testify to the effectiveness and correctness of the proposed methodics are served as an information basis for management decisions regarding the assessment of the effectiveness of measures to manage the company's financial policy. The software module has been developed that, based on the results of certain calculations, allows to make quick and well- founded decisions about balancing the structure of assets and liabilities in order to restore financial stability and increase profits.Show more Item Effect of Parameters of the Anthracite Heat Treatment on the Properties of Carbon Materials during Shock Heating(Ukrainian State University of Chemical Technology, Dnipro, Ukraine, 2022) Sybir, A. V.; Hubynskyi, M. V.; Balalaiev, K. B.; Burchak, O. V.; Sukhyy, K. M.; Fedorov, S. S.; Pinchuk, Valeriia O.; Hubynskyi, Semen M.; Vvedenska, T. Y.Show more ENG: The aim of the study was to experimentally determine the effect of the heat treatment parameters of anthracites from Donetsk basin on the properties of carbon materials when using shock heating, typical of furnaces with a fluidized electrothermal bed. Anthracite was treated in an electric thermal furnace at the heating rate of 1000 K/min and the holding time of 10–20 min. The processing temperature range was 1500–30000Ñ. For processing, we used initial anthracites and anthracites after calcination at 1100–12000Ñ. The properties of the carbon material were investigated by X-ray radiographic analysis, XRF analysis and diffuse reflectance infrared Fourier transform. It was found that precalcination did not produce any effect on the properties of anthracite carbon materials during shock heating and holding time less than 1 hour. Based on the results of studies of anthracite heat treatment while changing the holding time, the following kinetic characteristics of transformations during shock heating were determined: the pre-exponential coefficient of 1.79 and the apparent activation energy of 103.85 kJ/mol. Thermal processing of anthracite from Donetsk coal basin in electric furnaces with the fluidized bed at the temperature 30000Ñ for 55–60 min allows obtaining the crystalline structure characteristic of artificial graphite with necessary electroconductivity and element composition.Show more Item Efficiency of Low-Calorific Fuel Use in Counterflow Lime Kilns(D.A. Tsenov Academy of Economics, Svishtov, Bulgaria, 2023) Foris, Svitlana M.; Pererva, Valeriia Ya.; Usenko, Andrii Yu.; Foris, Oleksiy M.Show more ENG: Highly expensive energy carriers require revision of the existing engineering approaches in heating of industrial furnaces. The paper presents the results of research into the performance of a shaft kiln for lime-stone burning, which was fired with mixtures of natural gas and a fuel gas of a low calorific value. On the basis of studying various schemes of fuel distribution between the burners, the optimal operation mode of the kiln with reduced consumption of natural gas by 30% was identified. The lime quality indicators increase when the blast furnace gas is supplied to the central burner and improve when supplied to the peripheral burners. The joint supply of blast furnace gas in the calorific value section of the natural blast furnace mixture 9.4 ÷ 35 MJ/m3 allows keeping the performance of the furnace unchanged. At the same time, the coefficient of replacing natural gas with blast furnace gas is close to unity The proposed mode of heating the furnace with a capacity of 200 t/day with a natural blast furnace mixture provides 30% natural gas savings.Show more Item Efficient Algorithms for Parallelizing Tridiagonal Systems of Equations(НМетАУ, Дніпро, 2021) Shvachych, Gennady Grygorovych; Vozna, Nataliіa; Ivashchenko, Olena Valerievna; Bilyi, Oleksandr; Moroz, DmytroShow more ENG: The article is devoted to the development of the maximal parallel forms of mathematical models with a tridiagonal structure. The example of solving the Dirichlet and Neumann problems by the method of straight lines and the sweep method for the heat equation illustrates the direct fundamental features of constructing parallel algorithms. It is noted that the study of the heat and mass transfer processes is run through their numerical modeling based on modern computer technology. It is shown that with the multiprocessor computing systems’ development, there disappear the problems of increasing their peak performance. On the other hand, building such systems, as a rule, requires standard network technologies, mass-produced processors, and free software. The noted circumstances aim at solving the so-called big problems. It should be borne in mind that the classical approach to solving the tridiagonal structure models based on multiprocessor computing systems is far more time-consuming compared to single-processor computing facilities. That is explained by the recurrence relations that make the basis of classical methods. Therefore, the proposed studies are relevant and aim at the distributed algorithms development for solving applied problems. The proposed research aims to construct the maximal parallel forms of mathematical models with a tridiagonal structure. The paper proposes the schemes to implement parallelization algorithms for applied problems and their mapping to parallel computing systems. Parallelization of tridiagonal mathematical models by the method of straight lines and the sweeping method allows designing absolutely stable algorithms with the maximum parallel form and, therefore, the minimum possible time for their implementation on parallel computing devices. It is noteworthy that in the proposed algorithms, the computational errors of the input data are separated from the round-off errors inherent in a PC. The proposed approach can be used in various branches of metallurgical, thermal physics, economics, and ecology problems in the metallurgical industry.Show more Item Energy Efficient Water-Cooled Elements for Foundry Class Electric Arc Steelmaking Furnaces(НМетАУ, Дніпро, 2021) Timoshenko, Sergii; Nemtsev, Eduard; Gubinskij, MikhailShow more ENG: Analysis of recent research and publications. Low energy efficiency of foundry class electric arc steelmaking furnaces (EAF) mainly is caused by heat loss in massive refractory lining during forced downtime. A low-power transformer doesn’t allow, in the conditions of classical technology, practice of traditional water-cooled elements in order to replace partially the lining, what determines increased refractory consumption. Known mathematical models of heat and mass transfer in the EAF working space don’t pay sufficient attention to the features of thermal state and energy loss in water-cooled elements in relation to foundry class furnaces. Purpose. Work aims to improve energy efficiency and refractory savings in foundry class EAF due to water-cooled elements design improvement. Method. Work is based on numerical modeling of heat exchange by radiation in the working space of the EAF and thermal state of water-cooled elements with spatial structure. Research findings. On the base of radiation heat exchange study, a multiple regression equation for power of heat loss with cooling water was obtained, taking into account capacity of the furnace, steelmaking bath shape factor (diameter to depth ratio), duration of technological period of the heat and averaging coefficient of heat flux through working surface of water-cooled element. For traditional one-row, two- and elaborated three-row panels averaging coefficient is 0.82, 0.67 and 0.61, respectively. Practical significance. Three-row water-cooled wall panels with a spatial structure are elaborated, which provide a decrease in heat loss with cooling water by 14 %, in comparison with two-row ones and by 40% in comparison with traditional one-row panels with dense structure. Estimates of optimal relative cooled surface for 3-12-ton EAF working space, providing refractory savings up to 25-30% due to three-row water-cooled panels installation, are substantiated.Show more