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

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metadata of articles for the last 2 years

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

Bychek V.S. Saifullin R.T.

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

Product specification transfer standard

2023. T.11. № 3. id 1388

Shishkin A.G.

DOI: 10.26102/2310-6018/2023.42.3.007

The economic indicators of any online store directly depend on the quality of product content. The acquisition of such content is often automated, but there is no single data exchange format on the market yet. As a result, companies spend a lot of resources integrating with various content suppliers and consumers. The author of the article proposes a format for process standardization taking into consideration the features of all types of e-commerce market participants. The format is based on the experience of developing a technological platform for a large online store and its integration with partners. The features of various market segments, types of goods, statistical data, existing exchange formats, international standards, market development trends are accounted for. The format is designed so that any market representative can start using it by means of the converter modules based on reading the required speed of commodity consumption detail without major modifications inside the access system. Such standardization will help to cut costs for market participants while integrating mutually, quickly distribute quality content, verify it, reduce the number of errors. This may lead to increased competition as small market participants will have equal access to data. Ultimately, all of this will enable venders offer their clients higher quality services and reduced prices.

Keywords: product content, database, content analytics, content error control, quality management, product card, electronic product passport, e-commerce, content transfer

Computational modeling of coolant flow in channels of complex shape at high medium parameters

2023. T.11. № 3. id 1387

Rosnovskii V.S. Yaurov S.V. Danilov A.D. Gusev K.Y.

DOI: 10.26102/2310-6018/2023.42.3.010

Nowadays, modeling the flow of a medium in channels of complex shape is impossible without the use of numerical methods. The complexity of the form should be understood as the impossibility of a formulaic assignment of a function that would describe the change in the shape and area of the flow living section. Nevertheless, channels of complex shape are of interest for practical use in various fields of industry. A special case of such a channel is a hydraulic diode. The main purpose of the paper is the computational modeling of the flow of the medium in a hydraulic diode at elevated parameters of the medium by means of finite element methods. The relevance of the research lies in the absence of experimental studies and examples of the operation of hydraulic diodes at elevated environmental parameters. In this paper, a hydraulic diode is modeled according to the schematics by physicist Nikola Tesla. The parameters of the medium were set as follows: pressure 16 MPa, temperature 298 °C. As evidenced by the results of calculations, the ratio of hydraulic resistances at different directions of the medium flow was 19–23. It was found that the hydraulic diode is not applicable as a check valve in technological systems since it is not able to completely block the return flow. It was also demonstrated that the hydraulic diode is physically more effective than classical leak limiters because it has a jet reaction force in the "small leak" mode of 24.5 kN versus 220 kN of the closest classical leak limiter in terms of parameters. The results of the research indicate the complex nature of the efficiency of hydraulic diodes. They also made it possible to estimate the parameters and nature of the flow of the medium in channels of complex shape with increased parameters of the medium. They can be used to optimize future calculations and modeling of hydraulic diodes for various technological systems.

Keywords: hydraulic diode, diodicity, tesla valve, jet reaction force, insert-leak limiter

Researching the refractive index of seawater for underwater radio communication

2023. T.11. № 3. id 1385

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

DOI: 10.26102/2310-6018/2023.42.3.025

Underwater radio communication is necessary for the exchange of information with various objects that are under water, especially at great depth. In addition, the development of radio oceanography has made it possible to carry out remote monitoring over large areas of the World Ocean. The effectiveness of radar measurements will be greatly influenced if various processes that affect the interaction of radio waves with the sea surface is accounted for. To achieve this, it is necessary to develop various models. This paper examines the problem of electromagnetic wave propagation through the interface of two media: air and sea water. Models of reflection and refraction of an electromagnetic wave are presented. Different cases of polarization are considered. Properties of water found in seas and oceans are analyzed. It is shown how the dielectric permittivity of water depends on such characteristics as salinity and temperature. The salinity values of the Atlantic, Pacific and Indian Oceans are given. The case of an ultra-long wave falling on the boundary between air and water was regarded. The refractive coefficients of the electromagnetic wave were calculated depending on the angle of its initial propagation at given values of salinity and temperature.

Keywords: radio wave propagation, communication, refractive index, electrodynamics

The algorithm to determine the highest priority of enrollees in the 2023 admissions campaign

2023. T.11. № 3. id 1384

Baryshnikova N.Y. Fedkin P.S. Knysh T.P.

DOI: 10.26102/2310-6018/2023.42.3.026

In 2023, changes to the admissions procedure came into force which affected enrollment in educational programs of higher education – bachelor's programs, specialty programs, master's programs for the academic year 2023/2024. The main innovation of the future admission campaign is the enrollment of applicants based on priorities. By prioritization, the applicant demonstrates his or her desire to be enrolled in specific fields of study in a particular order. The authors concluded that there is a problem associated with the lack of an algorithm that helps to automatically determine the highest priorities of the applicant at each stage of enrollment. Therefore, the purpose of the study is indicated – to develop an appropriate algorithm. The Gale-Shapley algorithm and its scope are considered – in particular, the possibility of using it to stable matching between applicants and competition groups. It was concluded that this algorithm cannot be employed by educational organizations of higher education in the 2023 admissions campaign due to the existing assumptions in its operation. We have proposed our own methods for solving the problem of determining the highest priorities according to the approved admission rules for the academic year 2023/2024. The article presents a mathematical model of the problem and the computational part of a computer program using Python programming language. The algorithm will be tested at Admiral Makarov State University Maritime and Inland Shipping during the admission campaign in 2023. The materials of the article are of practical value for the admission commissions of educational organizations.

Keywords: education, admissions office, enrollee, highest priority, enrollment, algorithm, stable matchings

Metrics of semantic proximity of a user's request as a security criterion in a thematic hierarchical access control model

2024. T.12. № 1. id 1382

Khvostov V.A. Sych G.V. Choporov O.N. Gulov V.P.

DOI: 10.26102/2310-6018/2024.44.1.030

The increasing scope of application of mobile technologies and devices as elements of distributed systems to enhance the efficiency and convenience of access to various information systems and digital services has made it necessary to improve methods and mechanisms for information protection and information security. One of the main security mechanisms is access control. Features of traditional (discretionary and mandatory) access control model application in distributed information systems (IS) when using mobile systems (MS) as elements are analyzed. Thematically, hierarchical model is proposed as the most effective model that meets the required security policy. For this access control model, an ontological method for forming trust rights to access objects is proposed based on the use of semantic proximity metrics. When using traditional thematic hierarchical access control models, the logical information architecture of IS resources forms a thematic hierarchical classifier (categorizer). The Hasse diagram introduces order relations in the thematic classifier on the security grid to form trust-thematic powers of IS users. Constructing Hasse diagrams on a security grid that includes several security levels is a rather complex algorithmic task. When constructing trust-thematic powers of users in order to avoid uncertainty due to the incompleteness of the constructed Hasse diagram and overestimation of the granted powers when forming access rights, it is proposed to use the semantic proximity of the user access request and the thematic heading of the hierarchical classifier. An analysis of existing approaches to the formation of semantic proximity metrics has shown that proximity measures based on the hierarchy of concepts can be used as the best metric for setting the user’s trust authority.

Keywords: mobile station, access control, hierarchical thematic classification, semantic proximity, semantic distance

Formation of data in fixations of oil and gas well models using an intelligent method for missing value completion

2023. T.11. № 2. id 1381

Shariyanov N.V. Latypova V.A.

DOI: 10.26102/2310-6018/2023.41.2.022

In the oil and gas sector, a lot of attention is paid to the issue of improving the quality of data because poor quality can distort the presentation of the situation and eventually cause making the wrong decision. Oil production monitoring and preventive maintenance involve the collection of data from a variety of sensors that need to be correctly processed and “packaged”. Therefore, particular emphasis is given to improving the quality of the generated data in oil and gas well model fixations. Fixing oil and gas well models is the process of collecting, analyzing, and storing information about well operation parameters such as fluid, gas and oil flow rates, pressure, temperature, fluid composition, and other parameters used to optimize production processes and improve well performance. The presence of gaps in the formation of well models can significantly reduce the quality of these models, which can lead to an incomplete representation of the overall picture of well operation and decrease the accuracy of predicting its productivity. The article proposes an intelligent method of completing missing values for generating data in fixations of oil and gas well models to solve this problem. The method has been successfully tested at the oil and gas company Gazprom Neft PJSC using the data on the fluid flow rate of the wells in the Vyngapurovskoye field.

Keywords: intelligent method, completing missing values, nearest neighbor method, data quality, oil and gas well, well model fixation