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Volume 21 Issue №3

Contents

Pogulyaeva Lidiya Mikhailovna, Sinichkina Aleksandra Sergeevna, Vorobyov Vasily Vladimirovich, Vorobyov Egor Sergeevich, Kokaya Irakli Varlamovich, Shapovalov Nikita Andreevich, Golovin Andrey Arkadyevich
ANALYSIS AND DEVELOPMENT OF ENVIRONMENTAL SUPPORT MEASURES FOR THE DISTRICTS OF THE SOUTH-EASTERN ADMINISTRATION OF MOSCOW

Liu Yusong, Balungu Daniel Musafiri
OPTIMIZING SMART MANUFACTURING WORKSHOP LAYOUTS USING A DIGITAL TWIN-ENHANCED SLP-GA MULTI-OBJECTIVE MODEL: A PCB CASE STUDY

Ponomareva Olga Alexeevna, Gribov Mikhail Andreevich, Chistyakov Maxim Vladimirovich, Barybin Dmitry Alexandrovich
INFORMATION FLOWS OF A CONSUMER GOODS WAREHOUSE ENTERPRISE AS AN OBJECT OF INFORMATION PROTECTION

Grechitaeva Marina Vyacheslavovna, Shamaeva Ekaterina Fyodorovna
CONTRIBUTION OF CLIMATE-ACTIVE EMISSIONS FROM MAN-MADE RAW MATERIAL LANDFILLS TO ENVIRONMENTAL EMISSIONS

Eburu Evans Chukwuebuka, Balungu Daniel Musafiri
DISCRETE EVENT SIMULATION OF MUNICIPAL MEAT PRODUCTION SYSTEM: BOTTLENECK ANALYSIS AND OPTIMIZATION

Ponomareva Olga Alexeevna, Chistyakov Maxim Vladimirovich, Gribov Mikhail Andreevich, Barybin Dmitry Alexandrovich
OVERVIEW OF NETWORK TRAFFIC CLASSIFICATION METHODS

ANALYSIS AND DEVELOPMENT OF ENVIRONMENTAL SUPPORT MEASURES FOR THE DISTRICTS OF THE SOUTH-EASTERN ADMINISTRATION OF MOSCOW

Pogulyaeva Lidiya Mikhailovna, student, State University of Management

Sinichkina Aleksandra Sergeevna, student, State University of Management

Vorobyov Vasily Vladimirovich, student, State University of Management

Vorobyov Egor Sergeevich, student, State University of Management

Kokaya Irakli Varlamovich, student, State University of Management

Shapovalov Nikita Andreevich, student, State University of Management

Golovin Andrey Arkadyevich, supervisor, associate professor, Department of Environmental Management, State University of Management, PhD in Economics

Abstract

Currently, everyone is familiar with the concept of “ecology”. Anyway, anyone could have heard this term while doing ordinary things. The fact is that now problems with the environmental situation in the world are gaining momentum and through scientific articles, news on television, headlines in the media, conservationists are trying to attract the attention of others. Let’s consider the environmental problems in the districts: Vykhino-Zhulebino, Nekrasovka, Kotelniki, Kapotnya (Southern Administrative District). proposals for solving the spread of environmental problems, we will identify environmental problems in Moscow.

KEYWORDS: ecology, Southern Administrative District, development of support measures, system analysis, environmental problems, education, environmental management.

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OPTIMIZING SMART MANUFACTURING WORKSHOP LAYOUTS USING A DIGITAL TWIN-ENHANCED SLP-GA MULTI-OBJECTIVE MODEL: A PCB CASE STUDY

Liu Yusong, student at the Institute of Radio Electronics and Information Technology – RTF, Ural Federal University named after the first President of Russia B.N. Yeltsin

Balungu Daniel Musafiri, PhD student, Assistant at the Basic Department of Big Data Analytics and Video Analysis Methods, Institute of Radio Electronics and Information Technology, Ural Federal University named after the first President of Russia B.N. Yeltsin

Abstract

In the era of smart manufacturing, optimizing workshop layouts plays a pivotal role in enhancing production efficiency and reducing logistics costs. This study proposes a digital twin-enhanced multi-objective layout optimization model that integrates Systematic Layout Planning (SLP) with a Genetic Algorithm (GA). The model aims to balance logistics efficiency and non-logistics relationships through a comprehensive optimization process. Using a PCB manufacturing workshop as a case study, the proposed SLP-GA model was verified via digital twin simulation built in Anylogic, which enabled dynamic evaluation of production flow and personnel utilization. Results demonstrate that the optimized layout reduces logistics distance by 28.8%, decreases transport personnel by 11, and increases annual output by over 120% compared with the original configuration. The proposed approach effectively supports lean transformation and provides a replicable framework for intelligent, data-driven workshop design in the context of Industry 4.0.

KEYWORDS: smart manufacturing, layout optimization, SLP-GA, digital twin.

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INFORMATION FLOWS OF A CONSUMER GOODS WAREHOUSE ENTERPRISE AS AN OBJECT OF INFORMATION PROTECTION

Ponomareva Olga Alexeevna, Associate Professor, Candidate of Sciences (Engineering), Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Gribov Mikhail Andreevich, Master’s Student, Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Chistyakov Maxim Vladimirovich, Master’s Student, Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Barybin Dmitry Alexandrovich, Master’s Student, Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Abstract

The aim of the study is to assess information security threats at warehouse storage enterprises and develop measures to address them. The work involved an analysis of regulatory documents, publications in specialized journals, and expert opinions in the fields of logistics and information security, as well as an examination of incidents related to data leaks in logistics companies. The study also explored the specifics of information flow in warehouses and vulnerabilities arising from the implementation of new technological solutions. The article proposes a model of the information exchange and processing system in a warehouse, based on the IDEF0 functional modeling standard. Key information security threats, such as malware, phishing, DDoS attacks, web application vulnerabilities, and social engineering, were identified. For each threat, countermeasures were proposed, including the use of modern encryption protocols, two-factor authentication, regular software updates, and employee training. Recommendations were provided to minimize risks associated with the use of RFID tags, barcodes, and QR codes, as well as to ensure the security of wireless data transmission channels. The study emphasizes the need for a comprehensive approach to ensuring information security in warehouses, encompassing technical, organizational, and educational measures. The results of the research can be used to develop methodological recommendations for data protection at warehouse storage enterprises.

KEYWORDS: information protection, warehouse storage enterprises, vulnerabilities, warehouse management systems, social engineering.

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CONTRIBUTION OF CLIMATE-ACTIVE EMISSIONS FROM MAN-MADE RAW MATERIAL LANDFILLS TO ENVIRONMENTAL EMISSIONS

Grechitaeva Marina Vyacheslavovna, Doctor of Biological Sciences, Professor, Professor of the Department of Environmental Management, State University of Management

Shamaeva Ekaterina Fyodorovna, Candidate of Technical Sciences, Assoc. Prof., Associate Professor of the Department of Environmental Management, State University of Management

Abstract

The study focuses on analyzing the emission of climate-active substances and developing a system for regulating greenhouse gas emissions in the Russian Federation in the context of global climate change. The study provides a comprehensive assessment of the structure of emissions of major greenhouse gases, with a detailed breakdown by sectoral sources. It also analyzes the dynamics of greenhouse gas emissions in Russia over the period 1990-2023, revealing a decrease of 33.8% without taking into account forestry and a decrease of 62.5% with its inclusion. The potential of the waste sector as a significant source of methane emissions (up to 65 million tons of CO₂-eq/year) has been studied. A comprehensive approach has been applied, including the use of IAEK-based calculation methods for monitoring, the analysis of data from the Rosgidromet observation network, and the evaluation of technological solutions for capturing and utilizing landfill gas. The economic efficiency of implementing methane utilization technologies at municipal solid waste landfills has been substantiated.

KEYWORDS: greenhouse gases, carbon footprint, climate policy, methane, waste sector, carbon landfills, carbon neutrality, Paris Agreement.

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DISCRETE EVENT SIMULATION OF MUNICIPAL MEAT PRODUCTION SYSTEM: BOTTLENECK ANALYSIS AND OPTIMIZATION

Eburu Evans Chukwuebuka, student at the Institute of Radio Electronics and Information Technology – RTF, Ural Federal University named after the first President of Russia B.N. Yeltsin

Balungu Daniel Musafiri, PhD student, Assistant at the Basic Department of Big Data Analytics and Video Analysis Methods, Institute of Radio Electronics and Information Technology, Ural Federal University named after the first President of Russia B.N. Yeltsin

Abstract

This study develops a Discrete Event Simulation model to analyze a municipal meat production system spanning six production stages from crop cultivation to distribution. The model was constructed in AnyLogic 8.9.6 representing crop production, feed milling, livestock fattening, slaughtering, meat processing, and distribution. Baseline simulation over 365 days achieved throughput of 40 entities per year with average cycle time of 274.5 days. Resource utilization analysis identified feed mills at 75% and animal farms at 74% as primary bottlenecks, while downstream resources showed severe underutilization at 1-2%. Three scenarios tested increased demand, resource investment, and supply disruption. The increased demand scenario achieved zero throughput improvement despite 50% higher input. Resource investment with 60% more feed mills and 50% more animal farms achieved 50% throughput improvement. Supply disruption-maintained baseline throughput through inventory buffering. Results provide quantitative support for municipal capacity planning decisions.

KEYWORDS: discrete event simulation, municipal production systems, bottleneck analysis, resource optimization, capacity planning, supply chain management, food security.

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OVERVIEW OF NETWORK TRAFFIC CLASSIFICATION METHODS

Ponomareva Olga Alexeevna, Associate Professor, Candidate of Sciences (Engineering), Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Chistyakov Maxim Vladimirovich, Master’s Student, Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Gribov Mikhail Andreevich, Master’s Student, Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Barybin Dmitry Alexandrovich, Master’s Student, Educational and Research Center “Information Security”, Ural Federal University named after the first President of Russia B.N. Yeltsin

Abstract

The article studies the influence of traffic components on information security. The purpose of the study is to identify the dependence of traffic components on the actions of the automated workplace operator. The research methodology is analytical. The main results include a scientifically substantiated proposal to divide traffic into three types according to the security criterion and justification for the relationship of the traffic type to the actions of the automated workplace operator. The article focuses on specifying the terms and definitions affecting the concept of “traffic”. The processes occurring in the hierarchy of the reference model of open systems interaction (RM OSI) are briefly mentioned.

KEYWORDS: traffic, internet, client, server, infocommunication environment, protection, traffic generator.

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Volume 21 Issue №3

Contents

Petrov Andrey Evgenievich
NONPLANAR GRAPHS, DUAL NETWORKS, THE LAW OF CONSERVATION OF ENERGY FLOW: A FUNDAMENTAL PROBLEM THAT REMAINS UNRESOLVED

Papulovskaya Nataliya Vladimirovna, Prytkov Daniil Ivanovich
DIGITAL TWIN OF AN INTERSECTION FOR ADAPTIVE TRAFFIC LIGHT PHASE CONTROL

Balungu Daniel Musafiri, Licin Vladislav Vladimirovich
AGENT-BASED MODELING OF MATERIAL FLOWS IN THE ECONOMY OF THE MUNICIPALITY: A DIGITAL TWIN CONCEPT

Kreyder Oksana Aleksandrovna
EDUCATION FOR SUSTAINABLE DEVELOPMENT. THE EXPERIENCE OF DUBNA UNIVERSITY

Shushunova Tatiana Nikolaevna, Shpilkina Tatyana Anatolyevna, Borisova Olga Viktorovna, Filimonova Nadezhda Nikolaevna
PROJECT ACTIVITIES AND THEIR ROLE IN SUSTAINABLE DEVELOPMENT OF TERRITORIES

Dzitstsoeva Maria Arkadievna
DIGITAL LITERACY IN THE EDUCATIONAL PROCESS AS A FACTOR INFLUENCING THE SUSTAINABLE DEVELOPMENT OF THE TERRITORY

Kanunnikova Anna Mikhailovna
NATIONAL APPROACHES TO ACHIEVING TECHNOLOGICAL SOVEREIGNTY AND THEIR IMPACT ON THE POSITIONING OF COUNTRIES IN INTERNATIONAL TRADE

Karelina Ekaterina Aleksandrovna
THE RELATIONSHIP BETWEEN THE DIGITALIZATION OF INTERNATIONAL TRADE AND THE INTERNATIONALIZATION PROCESSES OF COMPANIES

Avanesov Arkady Artemovich
SYSTEMATIC CYBER-RISK IN INFORMATION RISK INSURANCE

Bykov Andrey Vladimirovich, Solomatina Tamara Borisovna
TRANSFORMATION OF RISKS IN ELECTRONIC COMMERCE: COMPARATIVE ANALYSIS OF TRADITIONAL AND DIGITAL CURRENCIES

NONPLANAR GRAPHS, DUAL NETWORKS, THE LAW OF CONSERVATION OF ENERGY FLOW: A FUNDAMENTAL PROBLEM THAT REMAINS UNRESOLVED

Petrov Andrey Evgenievich, Doctor of Technical Sciences, Professor of the Department of Computer-Aided Design and Engineering, Federal State Budgetary Educational Institution of Higher Education “National University of Science and Technology “MISiS” (NUST MISIS)

Abstract

Duality for nonplanar networks is a fundamental problem that remains unresolved. Kuratowski [5] showed that there is no graph or network dual to a nonplanar network. He demonstrated that there are only two such graphs that cannot be represented on a plane without self-intersections: the bipartite graph on six vertices with nine edges and the complete graph on five vertices with ten edges. The structure of networks dual to nonplanar networks cannot be represented, but it turns out that they correspond to transformation matrices that can be used to calculate responses to influences. Thus, there are no networks, but flows in them do exist, although they have strange properties. Since the dual network can (must) be located in a space dual to the observed space where the given network resides, nonplanar networks can be the contact point between these spaces.
A dual network corresponds to a path transformation matrix that is orthogonal to the transformation matrix of the original network. The strange thing about nonplanarity is that, by connecting individual branches (nine or ten) into increasingly complex networks, a dual network is always obtained. This can be constructed on a plane as a dual graph, or using a transformation matrix orthogonal to the given network. When connecting branches and reaching a nonplanar network, the dual network “disappears,” but with further connections, it reappears.
One might expect that since there is no dual network for a nonplanar network, there would also be no transformation matrix for its paths when going from the simplest network of individual branches to a connected network. Or perhaps this matrix has some singularities. It turns out that the transformation matrix of a nonplanar network has an inverse matrix, meaning there are no singularities. Transposing this inverse matrix yields an orthogonal matrix, which should correspond to the transformation matrix of the dual network.
Theoretically, it is impossible to construct a network dual to a nonplanar network using this matrix. However, when attempting to construct it, it turns out that the “dual” network of a bipartite graph on six vertices is similar to the complete graph on five vertices, although not completely – one branch is missing. When attempting to construct a “dual” network of a complete graph on five vertices, the resulting network is similar to the bipartite graph on six vertices, although not completely – one branch appears to be superfluous.
Thus, the transformation matrix of a nonplanar network exists, indicating that a corresponding network must also exist. Using the transformation matrix of a network dual to a nonplanar network, one can calculate the network’s solution matrix, represented by the metric tensor of its structure, although its form cannot be explicitly represented. This article discusses the results of research into the structure and processes in networks dual to nonplanar networks that cannot be represented. The practical interest of this problem lies in the fact that a bipartite graph on six vertices can be interpreted as three product-producing industries connected by supplies, i.e., this graph is at the core of economics and its model. The money supply network is dual to the product production network. A nonplanar graph in the product flow network can generate inconsistencies and contradictions in the money supply network.

KEYWORDS: nonplanar graph, dual network, transformation matrix, duality invariant, energy flow conservation law.

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DIGITAL TWIN OF AN INTERSECTION FOR ADAPTIVE TRAFFIC LIGHT PHASE CONTROL

Papulovskaya Nataliya Vladimirovna, Candidate of Pedagogical Sciences, Associate Professor, Associate Professor of the Department of Information Technologies and Control Systems, Ural Federal University named after the first President of Russia B.N. Yeltsin

Prytkov Daniil Ivanovich, Postgraduate Student of the Department of Information Technologies and Control Systems, Ural Federal University named after the first President of Russia B.N. Yeltsin

Abstract

The paper presents the development of an adaptive traffic control system (ATCS) for a single intersection, aimed at increasing its throughput. The proposed solution is a digital prototype of an intelligent ATCS implemented in Python and equipped with a graphical user interface (GUI) for monitoring and adjustment. A computer vision module based on the YOLOv4-Tiny neural network was integrated for collecting data on vehicles and pedestrians. The system implements a control algorithm that adjusts traffic light phase timings in real time according to three designed scenarios: night mode, peak hours, and medium load. For comparative efficiency analysis, a digital twin (DT) simulation model was developed in AnyLogic. The simulation included throughput assessment under different scenarios. The results showed that the introduction of adaptive control algorithms reduces the average intersection travel time by 14–32% compared to traditional static algorithms.

KEYWORDS: digital twin, traffic control system, traffic light, adaptive control, intersection, simulation modeling, computer vision.

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