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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology

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issn 2310-6018

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metadata of articles for the last 2 years

Practice of requirement management application in the problem domain based on model-driven system engineering of high-tech systems

2023. T.11. № 4. id 1445

Knyazeva I.O. Kuznetsova Y.A.

DOI: 10.26102/2310-6018/2023.43.4.024

Insufficient attention is paid to the stakeholder requirements coverage and their quality in the traditional approach regarding the development of high-tech products. Requirement engineering is widely being implemented. Its application based on the MBSE methodology contributes to a comprehensive consideration of the designed product, helps to avoid errors in its production, and satisfies all stakeholder requirements. Researchers present various interpretations of this process using different MBSE tools and high-level design software for complex systems. The practice presented in this paper is a synthesis of analysis and validation of MBSE approaches as well as their successful application by the authors in R&D when designing high-tech systems. The presented material is unique not only because it is limited to specific software products and, but also due to being suitable for subsequent extensions dictated by the subject domain of the designed system. The purpose of the study is to describe the practice of applying requirement management in the field of problems of a knowledge-intensive system based on MBSE. In requirement engineering process, the MBSE methodology was utilized by means of the System Modeling Language (SysML) for architectural system modeling. Within the scope of the research, stakeholders were identified and ranked according to the importance of their requirements in the project. The planned functionalities and directions for system requirement development were modelled. Requirements in the problem domain were identified, and their dependencies were analyzed in a SysML requirements diagram. The requirements were verified for correctness and structured in tabular form with assigned attributes. The materials of the article present structured stages of MBSE tool application for requirements identification in the problem domain, which can be applied to any knowledge-intensive system.

Keywords: model-Based Systems Engineering, MBSE, requirement engineering, problem domain requirements, stakeholders, sysML

Development of business process simulation models based on the IDEF0 methodology using Petri net theory

2023. T.11. № 4. id 1444

Petrosov D.A.

DOI: 10.26102/2310-6018/2023.43.4.009

The relevance of the research is due to the requirements for modern tools for automating the process of developing business process models. Modern design tools have greater functionality and support various methodologies which makes it possible to develop models in various subject areas. One of the disadvantages of this type of system is the absence of means for presenting simulation models based on the graphical models obtained during development. Owing to this, we can talk about the relevance of developing new methods and approaches that will enable simultaneous construction of simulation models and development of the graphical representation of a business process based on modern methodologies. The approach proposed in this study is aimed at helping developers of CASE applications. Additionally, it facilitates the automation of creating business process simulation models using the theory of Petri nets. The methodology of the IDEF family – IDEF0 – was used as the main methodology for modeling the functional features of business processes. When developing the proposed approach, the limitations adopted in the IDEF0 methodology were accounted for. The following restrictions were considered: rules for creating a context diagram, decomposition rules, and the use of all possible arrows in this methodology. The approach presented in the study allows for the construction of business process simulation models based on the IDEF0 methodology in parallel with their development when integrating the corresponding software design into the CASE tool.

Keywords: mathematical modeling, business processes, system analysis, petri net theory, CASE tools, IDEF family of methodologies, IDEF0 methodology

Structuring of a multifunctional digitalized system and managing it using optimization models of disaggregation of resources and volumes of activity

2023. T.11. № 4. id 1441

Gusev P.Y. Lvovich Y.E.

DOI: 10.26102/2310-6018/2023.43.4.004

The paper discusses the application of a structural-functional and optimization approach for solving the problems of managing the disaggregation of resources and volumes of activities in a multifunctional digitalized organizational system (MDOS). The definition of MDOS is given from the standpoint of integrating management, resource, multifunctional digital and activity monitoring fields. It is shown that the structure of interaction between the control center and the activities of the components is determined by the features of the organizational system class which is being investigated: multi-layeredness, a variety of components for each layer, the nature of control center requirements, the system-forming nature of the functional areas of the digital environment, the distributive nature of resource support use and the implementation of volumes of activity. A set of tasks aimed at disaggregation of resources and volumes of MDOS activities is proposed and their optimization nature is substantiated. It is demonstrated that the problem of disaggregation of resource provision planned volume is formalized as an optimization model of linear programming with variable boundary requirements, which makes it possible to solve it by combining the transition to the dual problem and, on its basis, to carry out multi-alternative optimization. The formalized statement of resource disaggregation problem accounting for their types and involvement in the implementation of activities in the functional areas of the digital environment and disaggregation of the planned volume of activity leads to an optimization model of block linear programming. To solve these problems, it is proposed to develop a problem-oriented algorithm based on a combination of iterative methods for solving block programming problems. Solving the selection problem at the component level requires preliminary identification of the dependences of disaggregation process characteristics on the methods of implementation and parameters of the components. Decision-making algorithms based on the tasks listed above are the basis for the intellectual support of experts in the proposed structural scheme for managing the MDOS.

Keywords: organizational system, multifunctional digital environment, management, structuring, optimization, expert evaluation

Features of molecular system transformation technique program realization

2023. T.11. № 4. id 1440

Smirnova Y.A. Marienkov A.N.

DOI: 10.26102/2310-6018/2023.43.4.023

The paper provides the analysis of molecular system model transformation problem with respect to any element of this system, where the molecular system (MS) is understood as a formalized computer representation of the geometric coordinates of the atoms in a molecule. The analysis has demonstrated that the existing software used to simulate molecular interaction does not enable MS transformation. At the same time, MS transformation becomes more complex as the number of elements in the system increases. A new technique of MS transformation based on converting MS into a molecular graph is proposed, where the transformation is understood as a graph rearrangement with respect to a new vertex. The necessity of automating the process of analysis and processing of the formalized representation of the transformed MS is substantiated. In addition, the algorithm of the program module based on the transformation technique is described. The demonstration of the developed software product using the example of transformation of methionine molecule is given, the molecular graph and formalized computer representation of the obtained MS are presented. The software product helps to save a formalized computer representation of the transformed molecule structure. Repeated use of the methionine molecule structure representation transformed earlier will further improve efficiency and speed in modeling the interaction of methionine with other molecular systems.

Keywords: molecular systems, synthesis of molecular systems, transformation technique, data conversion, rearrangement of molecular systems, molecular graph, formalized representation, program

Generalized ecological model of a dynamic distributed computing system

2023. T.11. № 4. id 1439

Bryukhanova E.R. Antamoshkin O.A.

DOI: 10.26102/2310-6018/2023.43.4.002

The paper presents a generalized model that enables a structural analysis of a distributed computational dynamic system and makes it possible to investigate the applicability of various control methods taking into account the environmental parameters of its operation. With the advent of the information society era, distributed computing systems for data processing and performing various tasks are being increasingly used. However, with the growth of their number and scale, the issues of energy consumption and negative impact on the environment are becoming more acute. The proposed model provides tools for assessing the impact of such systems on the environment as well as for taking measures to minimize their ecological footprint. It includes a set of parameters that help to analyze and take into account such factors as energy consumption, carbon emissions and resource efficiency. This model is designed to promote the development of more environmentally positive approaches to the management of distributed computing systems. This is of particular importance in the light of the growing attention to environmental issues and the desire of society for a more responsible use of resources. The results of this study open the way to creating more efficient and environmentally friendly computing solutions reducing the negative impact on the environment and a more sustainable future ensuring a balance between performance and environmental friendliness of distributed computing systems.

Keywords: distributed computing systems, dynamic systems, environmental sustainability, energy consumption, optimization

Resistance of the method for associative stegosecurity of cartographic scene data

2023. T.11. № 4. id 1438

Vershinin I.S.

DOI: 10.26102/2310-6018/2023.43.4.003

For further consideration, the article presents earlier introduced concept of a two-dimensional associative masking mechanism used to protect the data of cartographic scenes represented by point objects. The masking mechanism is the basis of associative steganography. In this case, the objects and coordinates of the scene are represented by code words using the alphabet of postal symbols and are masked with stegocontainers developed later. A set of masks is a secret key employed then to recognize a scene represented in a protected form by a set of stegocontainers. The method offence resistance is evaluated from the standpoint of the availability of information about some objects and their coordinates (associations with the terrain map). Two cases of such attacks are considered – the enemy's actual knowledge of the location of an object familiar to them as well as the analysis of the scene for plausibility after recognition using a key. The results of experimental studies are presented, which makes it possible to assert the unconditional or provable (i.e. computational associated with the impossibility of a complete search for keys) resistance of the method. Additionally, a resistance analysis is carried out for the case of excessive masking introduced to increase the noise immunity of stored or transmitted data, when not one, but several sets of masks are used to protect this data.

Keywords: associative steganography, resistance, cartographic scenes, information security, scene analysis

Algorithm for selecting data analysis model for predicting the performance of industrial robots

2023. T.11. № 4. id 1437

Goncharov A.S. Savelev A.O. Pisankin A.S. Chepkasov A.Y.

DOI: 10.26102/2310-6018/2023.43.4.028

Due to the intensive pace of development of systems for data collection, accumulation and analysis, more and more methods, approaches and systems are being created for decision-making in the field of predictive maintenance in modern robotic industries in order to increase productivity and efficiency of resource use (time, finances and material resources). Maintaining fixed assets of production is crucial to ensuring safe, efficient and continuous production. Modern equipment is fitted with a variety of monitoring systems, self-diagnosis and intelligent sensors that allow collecting a significant amount of primary data that may contain useful knowledge. The article presents an approach to developing an algorithm for selecting machine learning models when analyzing data on the performance of industrial manipulators as part of the predictive maintenance process. The developed algorithm makes it possible to reduce the time spent on training data analysis models (including machine learning and artificial neural networks) by selecting arrays of data collected from a fleet of equipment (for example, industrial robots) that have the greatest degree of similarity relative to the data collected from single equipment; this helps to avoid training additional data analysis models with satisfactory test results. Data was collected from four different industrial robots. The following methods were used for the analysis: linear model, convolutional neural network, multilayer perceptron. The algorithm of dynamic transformation of the timeline was used to assess the degree of similarity.

Keywords: predictive analytics, performance forecasting, machine learning, industrial robot, system analysis

Formalized assessment and decision support models for regional development management based on measurable indicators

2023. T.11. № 4. id 1436

Shamaeva E.F.

DOI: 10.26102/2310-6018/2023.43.4.001

The complex crisis situation in the world poses a challenge to the scientific community as to how accurately measure and forecast energy needs, environmental, social and economic factors. This requires the design of an interdisciplinary decision support model that comprehensively reflects the opportunities, local and global needs of regional development as well as the interrelation of decisions made in the region, socio-economic and environmental processes. The paper presents models that use measurable indicators and methods of system and energy analysis related to the consumption, transformation and distribution of energy resources in the production activities of regional organizational systems. Formalized concepts related to the management of regional system development, measurable indicators of environmental, socio and economic state of the regional system are presented. Capabilities of using the research results are given in the form of mathematical and software information system of decision support on the basis of measurable indicators. The results of the study confirm the applicability of the model of formalized assessment and decision support on the basis of measurable indicators as one of the alternatives under the conditions of non-monetary evaluations when making decisions with consideration to environmental, social, economic factors. The results of the study are of practical value when solving the problems of decision assessment.

Keywords: sustainable development of the region, modeling, management decisions, measurable indicators, formalized assessment, mathematical models, software

Development of methods for forecasting the dynamics of morbidity in the case of COVID-19

2023. T.11. № 3. id 1434

Kashirina I.L. Matykina O.V.

DOI: 10.26102/2310-6018/2023.42.3.014

The COVID-19 pandemic has had global repercussions and has led to severe restrictive measures in all areas of activity that have changed the working and living conditions of the world's population. Even after the end of the pandemic, predicting the incidence of COVID-19 remains an important task as it is necessary to monitor the development of the situation and the results of research on this issue can be extrapolated to other epidemics. Scientific studies on the analysis of factors that have a significant impact on the course of the epidemic have a particular importance. This study proposes a set of models and machine learning algorithms based on big data processing to predict the dynamics of the spread of the COVID-19 virus at the mesolevel, which analyzes the impact of various exogenous factors on the incidence. As the initial data for building machine learning models, we use a depersonalized data set provided by Voronezh Regional Clinical Consultative and Diagnostic Center and containing information on all tests for COVID-19 conducted in Voronezh Oblast. To effectively combat epidemics, it is necessary to forecast the development of the incidence dynamics for a sufficiently long period of time, e.g. from two weeks or more, while various studies, in general, propose short-term methods that allow making a fairly accurate forecast only for 1–5 days. Therefore, the goal of this study is to find the optimal method for predicting incidence over an average period of time using exogenous factors. Information about the weather, day of the week and month, and the popularity of search queries related to COVID-19 were selected as exogenous variables to improve the quality of forecasting.

Keywords: COVID-19, machine learning, time series, dynamics prediction, hybrid neural network

Problem of hydrocannon nozzle form optimization for maximizing the force pulse of the ultrajet

2023. T.11. № 4. id 1433

Dmitruk I.V. Tolstykh V.K.

DOI: 10.26102/2310-6018/2023.43.4.012

Pulsed high-pressure liquid jets can destroy the rock of any hardness. The use of ultrajets can accelerate the dissociation of rocks and hasten the construction of buildings. However, due to the low reliability of hydraulic pulse equipment, the commercial use of pulsed jets is currently limited. It is possible to increase the reliability and efficiency of the hydrocannon by optimizing the design. Therefore, the article examines a direct extreme approach aimed at the piston hydrocannon nozzle form optimization in order to achieve the maximum average force of the jet on the barrier. The form of the nozzle (cross-sectional area) is present in the equations as a spatial derivative. The function of the derivative is chosen as a control, which makes it possible to exclude errors in numerical differentiation. Direct extreme approach involves iterative maximization of the functional by extremal methods based on the gradient. An analytical expression for the gradient as a function of the nozzle length and a necessary nozzle form optimality condition are obtained. The gradient is a function of spatial variables, which makes the optimization problem infinite-dimensional. The value of the gradient is determined by the solution of the conjugate problem. The gradient indicates the direction of maximizing the target functional, which can be used in infinite-dimensional extreme optimization algorithms. The criterion for achieving the optimal nozzle form is the fulfilment of the required condition with the best possible accuracy.

Keywords: hydrocannon, gradient of the target, optimality condition, infinite-dimensional extreme problem

Formalization of the enterprise information security model in the multicriteria linear programming problem form

2023. T.11. № 3. id 1431

Bazilevskiy M.P. Nasedkin P.N.

DOI: 10.26102/2310-6018/2023.42.3.021

Previously, the authors proposed a methodology for assessing the functional efficiency of the software and technical solutions (STS) subsystem of an information security complex system (ISCS) of an enterprise. Using it makes it possible to evaluate not only the overall efficiency of the ISCS STS subsystem, but also the efficiency of its components, such as subsystems and their functions. In this article, based on the proposed methodology, an optimization model of enterprise information security is formulated in the form of a multicriteria linear programming problem. Its target functions are the efficiency estimations of all possible components of the ISCS STS subsystem. The variables are the expected estimates of the auditors after modernizing the ISCS and the costs that provide the corresponding estimates. The solution to this problem gives an answer to the question of how to distribute the available amount of funds in such a way as to maximize not only the efficiency of the ISCS STS subsystem, but also the efficiency of all its components. The proposed multi-criteria problem is reduced to a single-criteria problem, in which, instead of maximizing all efficiency criteria, the minimum of them is maximized. A problem is also proposed, the solution to which gives an answer to the question of what minimum costs are necessary to ensure a given level of efficiency of the ISCS STS subsystem and all its components.

Keywords: information security, assessment of the information security efficiency, object of influence, optimization model, linear programming

The high-level structure of modules for building special computer-aided design systems

2023. T.11. № 3. id 1430

Trotsenko A.S. Uspehov A.A. Chizhov M.I.

DOI: 10.26102/2310-6018/2023.42.3.018

In modern production, there is a need to design specialized products predetermined by a certain set of changing parameters. Re-designing of a product associated with adjusting some of these parameters becomes one of the tasks for an engineer to complete. Using of heavy computer-aided design systems in such cases can lead to a significant increase in labor costs. Creating a history of building a solid model of a product balanced according to a given set of its parameters has a significant impact on the overall complexity of the design process. Increasing the efficiency of this process allows the use of special computer-aided design systems aimed at creating a parameterized model of a particular product. This paper presents the structure of high-level modules that ensures the rapid development of special computer-aided design systems. One of the methods that provide rapid development is the reduction of a large amount of knowledge of the classes and methods of the geometric core being used. The presence of separate functional blocks helps to build various solid-state modeling systems: from simple linear systems to systems with advanced modeling, analysis and data import/export capabilities. To reduce the dependency of the developed systems on a specific geometric core, the high-level structure that is being proposed provides the hiding of the geometric core being used by means of the private implementation design pattern.

Keywords: architecture, solid modeling, computer-aided design systems, design patterns, pointer to implementation

Indicator framework for evaluating the performance of multi-factor authentication procedures in Web applications

2023. T.11. № 3. id 1426

Bogdanov D.S.

DOI: 10.26102/2310-6018/2023.42.3.015

The relevance of the study is due to the increasing use of multi-factor authentication mechanisms in Web applications, the popularization of Web technologies as well as the lack of specific standards in the Russian Federation describing the operation of multi-factor authentication procedures and establishing requirements for Web applications that use these procedures. The purpose of the research is to develop an indicator framework for assessing the performance of multi-factor authentication procedure information security in Web applications based on the previously developed classification of the procedures under consideration. An analysis of scientific publications on the issue under study was carried out; linguistic scales for indicators were proposed: costs, reliability, safety, efficiency as well as factors affecting the indicators. Acceptable indicator values were identified, which will be clarified using the method of expert assessments in subsequent publications on this issue. As part of the study, methods for calculating the values of cost, reliability, safety, and efficiency indicators were proposed. The findings of the study can later be specified in compliance with the list of the objectives aimed at ensuring the information security of multi-factor authentication procedures. The materials of the research are of theoretical value for further research in this field.

Keywords: multi-factor authentication, web application, two-factor authentication, classification, indicators of authentication procedures, efficiency assessment

Neural fuzzy networks for remote monitoring systems for outpatients with respiratory diseases

2023. T.11. № 3. id 1425

Butusov A.V. Alawsi H.A. Karachevtsev R.A. Filist S.A.

DOI: 10.26102/2310-6018/2023.42.3.016

The article proposes a decisive module for monitoring the functional state of the respiratory system, which provides intellectual support in making decisions by medical personnel regarding the hospitalization of a patient. To control the severity of community-acquired pneumonia, a hybrid multi-agent classifier has been developed based on Internet technologies with a structure that includes segments of risk factors associated with “its own” fuzzy inference system. A metaclassifier has been designed to aggregate the solutions of these systems, which allows monitoring the functional state of the patient breathing system in remote interactive mode. Based on the Mamdani-Larsen algorithm, a five-layer fuzzy network has been developed for classifying the severity of community-acquired pneumonia according to the input vector, which allows estimating the severity of community-acquired pneumonia on a 0–1 scale according to the segment of risk factors used in traditional pneumonia risk scales. A neuro-fuzzy classifier of community-acquired pneumonia severity based on the CRB-65 pneumonia risk scale was synthesized. The base of fuzzy decision rules of the fuzzy inference system is formed and the membership functions for input and output variables in the selected segment of risk factors are determined. The neuro-fuzzy model of a hybrid classifier of the severity of community-acquired pneumonia was tested using an experimental group of 200 patients with community-acquired pneumonia of varying severity. The classifier model on the control sample demonstrated a diagnostic sensitivity of 90 % and diagnostic specificity of 86 %. The results of the obtained risk model for community-acquired pneumonia were compared with the results of expert evaluation and the results obtained on known regression models. The quality indicators of the classification of the synthesized neuro-fuzzy classifier make it possible to recommend it for telecommunication systems for remote monitoring of community-acquired pneumonia severity.

Keywords: remote monitoring, interior, vein-hospital pneumonia risk scales, multi-agent classification system, neuro-fuzzy classifier, classification quality indicators

Optimization of modeling processes of balancing and rebalancing investments for the implementation of multi-object organizational system development program

2024. T.12. № 1. id 1419

Bukholtsev I.M. Lvovich Y.E.

DOI: 10.26102/2310-6018/2024.44.1.015

The article examines the optimization of investment management in the formation and implementation of multi-object information system development program. The stage connected with the transition from the development program executed for a certain time period to a new development program with a given planning horizon is considered. It is shown that the investments are balanced at the moment of transition and the need to rebalance them arises in the process of implementation. For the first problem, a multilevel system of balance conditions is formed, which is the basis for the construction of optimization models of the balancing process. Since the lower level of balance conditions is associated with the requirement to increase the value of organizational system development indicators of objects up to a certain value set by the managing center, the optimization problems are based on predictive assessments. These estimates are calculated either using the results of neural network modeling or expert evaluation. When forming optimization models of the investment rebalancing process, two ways of detecting the deviation of the development indicators value from the planned growth trajectory are considered: at a given point in time; when the threshold value is exceeded. In these cases, the point in time is determined, at which the optimal strategy of investment allocation between time transitions is adjusted in order to reach a given level of development indicators at the end point. Thus, the proposed transition makes it possible to optimize the distribution of investments as part of the development program both in the process of their balancing and rebalancing.

Keywords: multi-object organization system, development program, investment, optimization, neural-network modeling, expert assessment

Collision avoidance modeling for a group of marine autonomous vessels

2023. T.11. № 3. id 1418

Artemiev A.V. Grinyak V.M. Devyatisilnyi A.S. Petrov V.A.

DOI: 10.26102/2310-6018/2023.42.3.011

The paper deals with the issue of safe ship movement under the conditions of heavy traffic. The problem of avoiding the collision of groups of vessels is considered. It is noted that avoiding the collision of autonomous (unmanned) ships has its own specific nature. When moving in groups, an autonomous ship needs to “know” the intentions of other participants in order to correctly interpret the regulations for passing ships. This requires an extension of known collision avoidance algorithms for the cases of group locomotion. The paper describes a mathematical model of the ship collision avoidance problem based on traditional geometric representations of the relative motion of ships. The plan of actions for a vessel under the conditions of group locomotion is given. The software tools used to set up computational experiments in collision avoidance of groups of autonomous ships are described. It is noted that the proposed algorithm can be successfully applied to ships with a crew and implemented in automated onboard ship controls. An example of calculating maneuvers for collision avoidance of a group of seven vessels is shown. It is pointed out that setting up full-scale experiments for groups of small-sized models of autonomous surface vessels is necessary in order to test the proposed algorithm and assess the prospects for its use in practice. Recommendations on the possible design of such vessels are given with a view to setting up experiments along with the guidelines for the development of appropriate coastal infrastructure which will provide support for autonomous navigation in the future.

Keywords: ship traffic management, maritime safety, unmanned navigation, е-Navigation, a-Navigation, near collision, evasive action, group of vessels

Algorithmization of management decision-making as part of the industry development program with random variations of the investment resource

2023. T.11. № 3. id 1417

Ivanov D.V. Lvovich Y.E.

DOI: 10.26102/2310-6018/2023.42.3.006

The article considers the application of an optimization approach to making management decisions with random variations of the investment resource allocated by the managing center of a sectoral organizational system for implementing the subsystem of development. The limitations of traditional expert assessments in the distribution of investments between organizational system objects and the reasons for using random variations to smooth the costs of non-optimal decisions are shown. The article presents the statement of investment management optimization problem. Algorithmization of management decision-making based on expert and optimization assessment integration is proposed. The article also determines the purpose and objectives of the research. The structure of the combined algorithmic procedure for making management decisions based on a synchronous search in the spaces of the development program performance indicators and a variable investment resource by means of the immersion in a randomized environment is substantiated. For this purpose, the probabilistic characteristics of indicator significance are introduced and determined at each iteration in their additive convolution and object investment in the coordination of an expert assessment of the need for a resource with a numerical solution. In order to navigate the indicators space, a modification of the particle swarm algorithm is suggested which is integrated into the scheme of random search for the volume of investments with random variation in accordance with uniform and normal distribution laws. To implement the algorithmic procedure in the case of two variants of the distribution law, a sequence of actions is considered when introducing initial conditions and the topology of a particle neighborhood while moving from the current iteration to the next one when using the stop rule and determining the optimal control decision.

Keywords: investment process, sectoral organizational system, development program, optimization, expert assessment, random search

Algorithm for determining the angle between the directions of surface grinding

2023. T.11. № 3. id 1416

Shmidt A.G. Altukhov A.A. Feshchenko V.S. Shepelev V.A.

DOI: 10.26102/2310-6018/2023.42.3.020

The paper discusses the development of an algorithm for analyzing profilogram images obtained using the ZYGO ZeGage Pro HR optical profilometer in order to determine some parameters of material surface treatment: grinding directions and the angle between them. The analysis of such data makes it possible to make a connection between the applied material processing technology and the quality of the resulting surface. The need to automate this process is a relevant objective. Solving it will reduce the time taken to analyze a large volume of test samples and accelerate their quality control. This paper presents the process of the developed algorithm operation based on the application of methods for detecting geometric objects in images. The algorithm consists of several stages, including pre-processing of input data, methods for detecting straight lines in the image, extracting surface grinding directions, and determining the angle between them. In addition, as part of the study, a modification of the algorithm based on image frequency analysis was proposed. This modification allows eliminating the shortcomings of the main implementation described in the paper determined by the specifics of the input data; it also enables the increase in the efficiency of the program. Also, conclusions are given on the results of accuracy tests for the developed algorithm and its modification obtained using different samples of the surfaces under study.

Keywords: image analysis, finding lines in an image, calculating angles, diamond plate, surface polishing

The development of the information retrieval system for state of art assessment

2023. T.11. № 3. id 1413

Bobunov A.V. Korobkin D.M. Fomenkov S.A.

DOI: 10.26102/2310-6018/2023.42.3.023

The relevance of this study is due to the need to improve the efficiency of extracting key phrases and words from the Russian-language patent array. Currently, patent office experts have to analyze texts of patent applications manually in order to identify key phrases and words that are then used to search for patent counterparts. This process is time-consuming and can be error-prone. Another problem is the lack of a system similar to Google Patents but for Russian-language patents. Currently, there is no reliable and effective tool for automatic identification of key patent phrases and words in Russian-language patents. This limits the ability of experts to search and analyze patent analogues as well as to make decisions on patenting. Improving the efficiency of extracting key phrases and words from the Russian-language patent array is of great practical importance. This will reduce the time spent on the analysis of patent applications, improve the accuracy of the search for similar patents and provide more reliable patenting solutions. Such a tool will be useful for patent offices, legal consultants, engineers and researchers who work with Russian-language patents. In general, this study is conditioned by the need to improve and automate the process of analyzing patent applications, which will lead to an increase in the efficiency and accuracy of managing the Russian-language patent array and make it more accessible and user-friendly.

Keywords: patents, patent search, keyword extraction, full-text search, HDFS, apache Solr, django, keyT5

Development of an algorithmic apparatus for ensuring road safety

2023. T.11. № 3. id 1411

Arutiunian M.A.

DOI: 10.26102/2310-6018/2023.42.3.013

This article presents one of the scientific results obtained by the author in the course of the dissertation research. The problem considered in the study, namely the problem of ensuring the safety of road users, is raised. It was demonstrated that in megacities the installation of the “necessary minimum set of means” is not observed in all areas, which, in turn, causes violations by road users. Existing methods for assessing and improving the safety of road users are considered, limitations are highlighted. A possible tool for solving the analyzed problem with the aid of the identified restrictions is proposed which is the rational placement of technical means of traffic organization. An algorithmic apparatus has been developed that allows predicting and recommending suitable places for installing technical means of organizing traffic on those streets where they are located either irrationally or not at all based on the Decision Tree machine learning algorithm. A proprietary method for preparing input data with a description of the stages is proposed. The use of the semantic differential method to determine the weights / importance of attributes is proposed. Testing of the developed algorithmic apparatus was carried out both using the example of the “model” and using the example of a real site. It is noted that the proposed algorithm is able to generate a large amount of input data, which will further expand the algorithm and take into account even more various factors. It is expected that the developed algorithmic apparatus will significantly minimize the number of traffic accidents. It is assumed that the scientific results obtained in the research will allow a comprehensive assessment of the problems of organizing traffic in existing built-up areas or areas planned for development.

Keywords: technical means of traffic management, algorithmic apparatus, method, semantic differential, decision tree machine learning algorithm

Development of the algorithms for solving production optimization problems for the software of the decision support system in agriculture

2023. T.11. № 3. id 1410

Rakhmatullin R.R. Speshilov E.A. Chumakov A.A.

DOI: 10.26102/2310-6018/2023.42.3.012

Agricultural administration in the context of the digital transformation of the economy is becoming more important when ensuring the competitive advantages of our country, especially taking into account the challenges of the modern geopolitical situation. The introduction of various kinds of innovations requires prompt actions in order to facilitate the development of domestic technical, technological and information products. The article deals with the issue of automation of decision support in the management of agriculture subsystems by means of a developed software product with adaptive characteristics that does not require additional digital and qualification resources. Methods of system analysis, logical approach and synthesis, optimization, algorithmization, etc., were used. Official statistical data were used, which made it possible to present the dynamics of a number of indicators (acreage and yield of fodder crops, number of cows and milk production, etc.) of agricultural production in Russia for the period 2017–2021. The conclusion is made about the intensification of production activities in the field of dairy cattle breeding. Special attention is paid to the development of algorithms and their software implementation with a view to adjusting the diet of dairy cows with consideration to scientifically based requirements, breed restrictions, norms, etc. Flowcharts for designing a user interface and functions for calculating the required amount of minerals, algorithms for calculating energy and protein requirements are given. Developed in Python, the program takes into account the selected parameters for calculating the productive feeding ration of cows and is an integral part of the intellectual system being developed. By means of simulation, it helps to choose the most suitable values of output parameters for their further use in the form of numerical restrictions when solving the problem of minimizing the cost of the feeding ration by linear programming methods. The program has a universal character regarding the introduction and use by agricultural producers, provides automation of the decision support system and does not require additional time-consuming training of decision makers who aim to achieve the efficiency of domestic agriculture performance.

Keywords: algorithm development, optimization problems, agricultural administration, decision support system, dairy cattle breeding, feeding ration, decision-maker, flowchart, program

AIOps system software module architecture for collecting and processing IT infrastructure time series

2023. T.11. № 3. id 1409

Kamenev A.S. Sakharov Y.S.

DOI: 10.26102/2310-6018/2023.42.3.027

The article examines the problem of collecting time series data by AIOps system for monitoring the IT infrastructure with subsequent processing of the received data in real time. The relevance of the study is due to the growing interest in systems of this class on the part of large enterprises and organizations with a high degree of production process digitalization. In its turn, the organization of the process of collecting such information is conditioned by a number of features: firstly, software modules must be designed taking into account a significant load (collection and processing of about 10 million metrics per minute); secondly, end devices are not often used to collect data, other monitoring systems are employed instead. It is also required to consider the current state of the IT infrastructure characterized by its dynamism caused by the development and widespread implementation of hardware virtualization technologies, application containerization and automated configuration management. Based on a comparison of approaches to the collection and processing of time series data implemented in various monitoring tools, the paper concludes that the application and development of the Prometheus approach in AIOps monitoring systems is promising. The authors offer their own version of the adaptation and development of this approach. Distinctive features of the proposed option are a multi-status model of thresholds with a lifetime as well as the indirect establishment of links between objects in the resource-service model and the collected metric information, which helps to implement the functionality required by enterprises for collecting and processing metrics for an AIOps monitoring system under the conditions of high load and dynamism of modern IT infrastructure. In conclusion, the results of the developed software module preliminary testing are presented, and the possibility of using the approach proposed by the authors to implement the function of controlling the degree of monitoring object coverage is underscored. Currently, the described version of the architecture is used in the commercial software product "MONQ" and is being tested in several key Russian enterprises.

Keywords: monitoring system, time series, IT service, resource-service model, service management system, AIOps, big data

Model study of electromagnetic wave scattering on electrodynamic structures with the application of dielectric materials

2023. T.11. № 4. id 1408

Avetisyan T.V. Lvovich Y.E. Preobrazhenskiy A.P. Preobrazhenskiy Y.P.

DOI: 10.26102/2310-6018/2023.43.4.020

Radar signal scatterers (space, air, ground and water-based radar targets) and electromagnetic wave energy converters (spatial light modulators, means of reducing visibility in the radio wave range, antenna devices in the ultra-high frequency wave range) have complex geometry and large electrical dimensions and also contain absorbing and nonlinear elements. The analysis and synthesis of this electrodynamic technique based on rough knowledge of the physical processes occurring in these objects can cause significant and difficult-to-control errors in the assessment of their main characteristics, which change rapidly with changes in frequency, type of polarization and angle of incidence of electromagnetic waves. This paper examines a methodological approach aimed at evaluating and optimizing the scattering characteristics of electromagnetic waves that occur when electromagnetic fields interact with electrodynamic structures containing dielectric inclusions. To calculate these characteristics, the method of integral equations is used, and a genetic algorithm is employed to optimize them. The results of the study demonstrate the efficiency of the proposed approaches. The methodological approach considered in the paper can be used to improve the electromagnetic compatibility of devices, reduce their radar visibility.

Keywords: modeling, optimization, electromagnetic wave scattering, integral equation, genetic algorithm, radio communication

Intercomponent interaction in a multi-agent system

2023. T.11. № 3. id 1407

Bredikhin A.V. Verkoshansky D.V. Neretin E.O. Sobenina O.V.

DOI: 10.26102/2310-6018/2023.42.3.022

The article examines the mechanisms of intercomponent interaction in multi-agent systems. The paper discusses various approaches to messaging between components as well as the advantages and disadvantages of each of them. The key problems of intercomponent interaction are identified and their solutions are proposed. Particular attention is paid to the messaging mechanism based on the message broker. The principles of the broker, its advantages and disadvantages as well as examples of use in multi-agent systems are described. The results of the study showed that the use of the message broker makes it possible to create a flexible and scalable system that can efficiently process a large number of messages and maintain high reliability in operation. The paper presents a description of the data transfer format structure between the components of a multi-agent system. Message routing schemes within the system using a message broker are shown. The configuration for the implementation of the intercomponent interaction schemes is described. A mechanism for encoding messages based on tag keys is proposed, which enables their identification for further processing by software agents. This approach can be useful in the design and development of various multi-agent systems, where it is necessary to exchange messages between different software agents.

Keywords: multi-agent system, message broker, data format, JSON, rabbitMQ, MAS, coding

Simulation modeling of convection processes in heat exchangers

2023. T.11. № 4. id 1404

Chivilev Y.V. Yaurov S.V. Skorodumov D.G. Tuchkov M.Y. Danilov A.D. Gusev K.Y. Ravochkin N.N.

DOI: 10.26102/2310-6018/2023.43.4.018

The article describes the method for calculating the influence of convection on heat exchange in heat exchangers (HE) with spirally wound tubes and also presents a model that implements this object ignoring heat losses to the atmosphere. Information about the calculation code, its thermal-hydraulic blocks is given, and the necessary equations are proposed to identify the influence of free and forced convection on heat transfer in SimInTech dynamic modeling environment. Prior to the study, the calculation model was verified, where the relative error was 1.3 %, which is acceptable for this model. After successful verification, calculations were performed for the heat exchanger within the design limits and beyond its boundaries. Following on from the findings, it can be concluded that the speed of the medium at which free convection does not affect the efficiency of the heat exchanger, where 324 tubes is 1.08 m/s; for TO with 93 tubes is 1.25 m/s. Subsequently, a recommendation was developed for the use of shell-and-tube heat exchangers with spiral wound tubes: in order to guarantee effective heat transfer and minimize the impact of free and forced convection, designers should strive to maintain an average flow velocity in the heat exchanger tubes of at least 1.0 m/s; if it is impossible to maintain the speed, then it is necessary to take into account the influence and correctly position the heat exchanger so that the directions of forced and free convection coincide.

Keywords: convection, equation, computational modeling, hydraulic channel, volume, temperature, flow rate, average velocity, heat transfer

Performance analysis of underwater visible light reflecting system

2023. T.11. № 4. id 1402

Ali M. Ali J.D.

DOI: 10.26102/2310-6018/2023.43.4.005

Underwater visible light communication (UVLC) has become a promising wireless signaling approach towards the 5G and 5G beyond (5GB) wireless networks. The depth-dependent photophysical characteristics of water such as pressure, density, temperature, and salinity fluctuations lead to the changes in the refraction index and turbulence of water. The channel turbulence is a bottleneck for optical signaling in aqueous mediums, especially in oceans; it also causes malfunctions in transceivers because of signal bias or pointing error. The paper examines the performance of the reflecting node as part of underwater optical communication system operating in visible light. Based on the experimental data obtained in the Southern Indian Ocean, the outage outcomes and bit-error-rate (BER) performances are considered. The performance metrics for the proposed system model are obtained under weak-turbulence channel conditions within Pulse-Amplitude Modulation (PAM) scheme. Additionally, the authors analytically present the closed-form expression for outage probability and a tight asymptotic expression for BER performance at high signal-to-noise (SNR) ratio that offers helpful insights into the influence of the medium on channel parameters and the system as a whole. The simulation results demonstrate operational capacity of the underwater communication system model.

Keywords: underwater wireless communication (UWC), underwater visible light communication (UVLC), underwater reflecting communication, underwater weak-turbulence, diver to diver communication (D2D), reflective semiconductor optical amplifier (RSOA)

Simulation of radar image recovery processes

2023. T.11. № 4. id 1399

Avetisyan T.V. Pitolin M.V. Preobrazhenskiy Y.P.

DOI: 10.26102/2310-6018/2023.43.4.008

When receiving images of ground or air objects in active or passive location systems based on millimeter-wave radar stations, sequential scanning of the viewing area is carried out. After passing the primary processing path, the received signals are translated into the corresponding radio images. An increase in the resolution of the radar image is achieved by means of its algorithmic processing with the involvement of optimal methods for solving the inverse problem of image restoration. In this paper, the object is considered as a set of independent sources. Restoration of the amplitude and phase of such sources is analyzed. The scheme of information processing in the information system is given. The conditions under which it is possible to restore the phase in the radar image are determined. An image recovery algorithm is presented. In the algorithm, the correlation integral, which includes two indices, shows what relationship exists between the energy characteristics of local sources and their coordinates. The results of restoring several sources with the specified initial data are shown. In addition, the results are presented when there is one index in the correlation integral; in that case, the image is restored to one of the axes. The results of the research can be used in the restoration of various radio images.

Keywords: modeling, image restoration, radio wave scattering, electrodynamics, radar

On the use of augmented reality technology in the rehabilitation of patients with balance disorders

2023. T.11. № 3. id 1392

Galushka M.S. Vishnevetsky V.Y.

DOI: 10.26102/2310-6018/2023.42.3.017

Analysis of the technical aspects of augmented reality systems (AR systems) for the rehabilitation of patients with impaired balance function is an important issue in medical practice. This study is an analysis of research on the use of AR systems for rehabilitating patients with balance problems. The study covered and analyzed 31 articles published between 2018 and 2023 that used various AR systems to rehabilitate patients with balance problems. The technical characteristics of AR systems were considered such as the type of devices used, functionality, accessibility, usability and effectiveness in the rehabilitation process. The results of the review showed that AR systems can be effective in the rehabilitation of patients with balance disorders, especially when traditional therapies are limited. Some of the systems can be used at home, which can reduce the need for hospital visits and reduce treatment costs. However, many of the AR systems still require improvements to enhance accuracy and usability as well as to improve accessibility for a wide range of patients. Therefore, AR systems are a promising tool in the rehabilitation of patients with balance disorder; however, in order to increase their effectiveness, the option of using AR systems together with other rehabilitation devices, e.g. with force platforms, should be considered.

Keywords: augmented reality, rehabilitation, equilibrium, balance

Optimization of the action plan to improve corporate culture based on the comparative analysis of the regional machine-building plants

2023. T.11. № 2. id 1391

Rodionova V.O. Fedorkova N.V. Rodionov O.V.

DOI: 10.26102/2310-6018/2023.41.2.029

The article is devoted to the comparative analysis of the state of the organizational culture at the regional machine-building plants and, based on that, the algorithmization of the optimal selection of an action plan for its improvement. It is shown that the possibilities of improving the corporate culture are determined by the degree of its influence on efficiency increase of various aspects of enterprise activity. On the other hand, the importance of the influence of socio-economic factors on the state of the corporate culture is highlighted. It is proposed to improve it through a combination of activities with reference to a set of features with unsatisfactory marks. Expert judgement has traditionally been used for this purpose. The possibility of combining expert and formalized assessments using an optimization approach is being considered. The phasing of integration of expert assessment and optimization selection has been substantiated. The information basis are expert assessments of the influence of socio-economic factors on the enterprise corporate culture. They help to identify the signs of unsatisfactory perceptions and form an action plan aimed at improving the corporate culture. Based on the results of the expert assessment on the sensitivity of the positive change of these features depending on the resource allocation of each activity, the article offers an optimization model of linear Boolean programming, which provides an optimal solution. Implementation of the optimization approach by means of the comparative analysis of the state of the corporate culture at the regional machine-building plants was considered, which helped to choose an action plan for its improvement.

Keywords: corporate culture, machine building plants, expert assessment, optimization

Identification of accident and pre-accident cases during the operation of the data-measuring system for diagnosing informative parameters of electrical circuits

2023. T.11. № 3. id 1390

Saifullin R.T. Bychek V.S.

DOI: 10.26102/2310-6018/2023.42.3.008

The article considers the issues of using new modern data-measuring system components with improved metrological parameters for diagnosing electrical circuit informative parameters. Development and design results of the data-measuring system that provides an ability to measure the entire set of electric power parameters within a time frame shorter than the input signal period are given. The system is based on the method of informative parameters definition by instantaneous voltage and current values of input and additional signals simultaneously measured once per period. Structural and functional diagrams of system components, the structure of command frames, answer frames and data frames, the choice of electronic component base are presented. The considered data-measuring system can be used in technological process management systems for controlling and testing electrical circuits and appliances. An electrical circuit has been developed that makes it possible to implement the operation logic and exchange protocols for facilitating data-measuring system part interaction which includes the use of Serial Peripheral Interface for data transfer. A measurement error estimation due to the input signal difference from the harmonic model is calculated with the method of estimating the error of the parameter measurement results as a function with approximately given arguments and with an error corresponding to the input signal difference from the model.

Keywords: data-measuring system, all-purpose measuring converters, additional values, instantaneous values, phase-shifting units, serial peripheral interface, synchronous data transfer format