Editor-in-Chief: Yury N. Razoumny, Professor, Doctor of Technical Sciences ISSN: 2312-8143 (Print) ISSN: 2312-8151 (Online) Founded in 2000. Publication frequency: quarterly PUBLISHER: Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University) Open Access: . APC: no article processing charge Peer-Review: double blind. Publication language: Russian, English Indexation: White List, Russian Index of Science Citation, Google Scholar, Ulrich's Periodicals Directory, WorldCat, Cyberleninka, Dimensions, DOAJ, ResearchBib, Lens, Research4Life, JournalTOCs, British Library, Bodleian Libraries (University of Oxford), Ghent University Library
Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)
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Publishing Agreement (Public Offer) to Publish an Article in an Academic Periodical 'RUDN Journal of Engineering Research' The Federal State Autonomous Educational Institution of Higher Education "Peoples’ Friendship University of Russia named after Patrice Lumumba” (RUDN University), represented by the Vice-Rector for Scientific Work Andrey Aleksandrovich Kostin, acting under a Power of Attorney No 0036-03/21-163 dated 12.10.2021, hereinafter referred to as the Publisher, on the one hand, hereby offers to the public at large, hereinafter referred to as the Author, on the other hand, hereinafter collectively referred to as the Parties, to enter into this agreement, hereinafter referred to as the Agreement, regarding publication of scholarly materials, hereinafter referred to as the Article, in the Journal named 'RUDN Journal of Engineering Research', hereinafter referred to as the Journal, under the following terms. 1. General Terms and Conditions 1.1. Pursuant to Clause 2 of the Article 437 of the Russian Federation Civil Code, this Agreement shall be recognized as the public offer, hereinafter referred to as the Offer. Subject to Article 438 of the Russian Federation Civil Code, this Offer shall be deemed to have been completely and irrevocably accepted after the Author had submitted his/her materials by uploading those onto the network electronic system of the article acquisition for review available at the respective section of the Journal's site at URL: http://journals.rudn.ru/index.php/engineering-researches/author/submit/1 on the Information and Communication Network known as the Internet, hereinafter referred to as the Internet. 1.2. 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The Application means an electronic request of the Author addressed to the Publisher for publishing the Article in the Journal by uploading the Article and support materials onto the network electronic system of the article acquisition for review available at the relevant section of the Journal's site at URL: http://journals.rudn.ru/index.php/engineering-researches/author/submit/1 on the Internet). The Publisher is the Federal State Autonomous Educational Institution of Higher Education "Peoples’ Friendship University of Russia named after Patrice Lumumba” (RUDN), being the Journal's founder and publisher. 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The Publisher undertakes, throughout the currency of this Agreement, to provide to the Author the services associated with publication of the Article on the Journal's site at URL: http://journals.rudn.ru/index.php/engineering-researches on the Internet. 4. General Terms of the Services Provision 4.1. The Publisher shall provide the services to the Author only if: the Author submits all materials compliant with the Offer requirements by way of the Article Upload; the Author Accepts the Offer. 4.2. The services shall be provided to the Author free of charge. 4.3. If any materials submitted by the Author are found in breach of rules and requirements of this Offer, the Publisher shall have a right to refuse to publish those. 4.4. The Publisher shall not be responsible for any third-party unauthorized use of the data provided by the Author during the currency of this Agreement. 5. Rights and Responsibilities of the Parties 5.1. 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The Journal's Editorial Staff will not enter into any correspondence regarding the rejection of the Article by the Journal's Editorial Board; suspend provision of services to the Author hereunder temporarily for technical, technological and other reasons preventing the services from being provided for the duration of remedial activities; suspend services hereunder in accordance with civil procedures if: the Article does not correspond to the topics covered by the Journal or by any part thereof, or the submitted material is found insufficient for the individual publication, or the Article design is found at variance with the requirements imposed; the Author is in breach of any other obligations assumed under the Offer arrangement; introduce changes to the Offer as per the procedure established by the Offer. 5.6. Unless otherwise provided or stated herein, the Parties shall refer to the effective legislation of the Russian Federation. 6. Offer Acceptance and Conclusion of the Agreement. The Term of the Agreement 6.1. This Agreement shall become effective when concluded, i.e. when the Author Accepts the Offer by sending an application to the Publisher, that is, by uploading the Article (Article Upload), and remain in effect for five years. 6.2. The Offer Acceptance constitutes an Agreement made in writing (Articles 438 and 1286.1 of the Russian Federation Civil Code) under the Offer terms. 6.3. Unless any of the Parties sends to the other Party a written notification of the Agreement termination no later than two months prior to the end of the specified five-year period, the duration of the Publisher's copyright to the Work shall be automatically extended by the similar period. The number of extensions is not limited. 6.4. The term of the Agreement may not exceed the duration of exclusive rights to the Article pursuant to the Russian Federation legislation. 6.5. 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If the Author disagrees with any modification in the terms of this Agreement, the Author shall have a right to submit a written notice of his/her withdrawal from this Agreement by uploading it onto the network electronic system of the article acquisition for review, available at the relevant section of the Journal's site at URL: http://journals.rudn.ru/index.php/engineering-researches/author/submit/1 on the Internet. 7.3. This Agreement may be terminated early: at any time by mutual agreement of the Parties; or otherwise as stipulated herein. 7.4. The Author shall have a right to cancel this Agreement unilaterally by sending the Publisher a respective notice in writing at least sixty (60) calendar days prior to the intended date of the Author's Article publication in the Journal. 7.5. The termination of this Agreement for any reasons shall not release the Parties from responsibility for breach of any Agreement terms during the currency hereof. 8. Liability 8.1. 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If any disagreements remain unresolved, the Parties shall settle those at the location of the Publisher in accordance with the effective law of the Russian Federation. 10. Miscellaneous 10.1. Any notifications, messages, requests etc., excluding documents which need to be forwarded in original form pursuant to the Russian Federation legislation, shall be deemed to have been received by the Author, if delivered (sent) by the Publisher via the Journal's site, including by publishing those, by fax or e-mail specified in the Application, or using other communication facilities. The Parties acknowledge validity of notifications, messages, requests etc. delivered (sent) using the above-listed methods. 10.2. Where the Publisher becomes subject to any claims related to non-compliance with an exclusive copyright or other intellectual property right of any third party during the writing of the Article or in connection with conclusion of this Agreement by the Author, the Author undertakes to: immediately upon receipt of a Publisher's notification, take measures to settle disputes with such third party, and, where necessary, join the litigation in favor of the Publisher and use its best endeavors to exclude the Publisher from the defendants; reimburse the legal cost, expenses and loss incurred by the Publisher as a result of application of a pre-award relief and measures for execution of a judgment, and damages paid by the Publisher to any third party for the infringement of exclusive copyright and/or other intellectual property rights, as well as other expenditures incurred by the Publisher as a result of infringement by the Author of any warranties provided hereunder. 10.3. Subject to Article 6 of the Federal Law On Personal Data No. 152-FZ dated July 27, 2006, for the period from the conclusion of this Agreement and until the discharge of Parties obligations hereunder, the Author expresses his/her consent to processing of the following personal data by the Publisher: last name, first name, patronymic; taxpayers identification number (TIN); place and date of birth; citizenship details; ID document details; registration and actual location address; e-mail address; mailing address with postal code; contact phone numbers; fax numbers; and details of the employers. 10.4. The Publisher is entitled to process the above personal data for the purpose of this Agreement performance, including for provision of information and reference services to the Author. The processing of personal data shall be understood to mean any handing (operations) with personal data, including collection, systematization, accumulation, storage, refinement (update, alteration), use, distribution (including transfer to third parties), depersonalization, blocking and deletion of personal data in accordance with the effective Russian Federation legislation. 10.5. Where permitted by the Russian Federation legislation, the Author is entitled to withdraw his/her consent to processing of personal data as listed in Clause 10.3 by forwarding a respective notice to the Publisher. Upon receipt of such notice, the Publisher has a right to suspend services. 10.6. The Author will, on a goodwill basis, submit his/her details (and details of each Co-Author subject to their prior consent) to the Journal's Editorial Office consisting of his/her: last name, first name, patronymic, academic rank, academic degree, job title, employer details (name and mailing address), work phone number and e-mail address for the purpose of its general publication in the Journal along with the Article. 11. Registered Address and Particulars of the Publisher Federal State Autonomous Educational Institution of Higher Education "Peoples’ Friendship University of Russia named after Patrice Lumumba” (RUDN University) Address: Mikluho-Maklaya St., 6, Moscow, 117198 TIN 7728073720, CRR 772801001, PSRN 1027739189323. Vice Rector for Scientific Work A.A. Kostin
Optimizing Space Robot Configurations to Minimize Capture Contact Forces
Space robotics is rapidly becoming essential as satellites and orbital debris continue to increase, creating demand for reliable capture and servicing technologies. A central challenge lies in minimizing the impact forces generated during contact, which can threaten both the robot and the target. This paper addresses the problem by introducing a configuration optimization approach that leverages the concept of integrated effective mass (IEM) to reduce capture contact forces. The contribution of this study is twofold: it demonstrates how IEM serves as a practical performance metric for predicting capture safety, and it validates configuration optimization as an effective strategy for mitigating impact forces in free-floating space robots. The methodology applied a Hunt - Crossley contact model with hysteresis damping to simulate robot-target interactions under various manipulator configurations. A 7-DOF free-floating robot was modeled, and IEM was computed through Jacobian-based dynamic analysis. The coefficient of restitution was also tuned to balance rebound and capture stability. Results reveal a strong nonlinear relationship between IEM and contact force. Configurations with low IEM generated substantially lower forces: for example, an IEM of 0.0413 kg produced only 442 N, while an IEM of 1.7199 kg resulted in forces exceeding 4142 N. By tuning the restitution coefficient to approximately 0.8, rebound effects were minimized without compromising stability. The simulations confirmed that configuration optimization can reduce capture forces by nearly an order of magnitude while avoiding singularities. In conclusion, this work shows that planning manipulator configurations based on IEM analysis is not merely theoretical but a practical tool for safer, more reliable on-orbit servicing and debris removal. These findings reinforce configuration optimization as a cornerstone for the next generation of space robotic operations.
Copyright (c) 2025 Adde Y.A., Razoumny Y.N., Betelie A.A., Degefu B. https://creativecommons.org/licenses/by-nc/4.0
Formulation of Satellite-UAVs Integration System for Earth Remote Sensing in the Republic of the Union of Myanmar
The article develops the concept of a Hybrid Earth Remote Sensing System (HERS) for Myanmar, integrating Low-Earth Orbit (LEO) satellites and Unmanned Aerial Vehicles (UAVs) to obtain near real-time, high-resolution geospatial data for environmental monitoring and disaster risk management tasks. Analysis of the existing Earth remote sensing infrastructure and implemented projects revealed several limitations: high latency of satellite systems, cloud-cover interference, restricted data availability, and institutional barriers, including weak interagency coordination, a shortage of trained personnel, and insufficient funding. As a result of the study, the HERS architecture is formulated, including integration of satellites and UAVs, the use of multifrequency and laser communication channels, and energy-efficient UAVs with modular payloads (SAR, hyperspectral, and infrared sensors), providing compatible processing and rapid data transmission to the national GIS infrastructure. It is shown that the proposed system improves the spatiotemporal resolution of observations, reduces the impact of cloud cover, lowers operational costs compared with predominantly satellite-based solutions, and expands the range of practical tasks; from monitoring agriculture, forests, and water resources to near real-time response to floods and cyclones. The practical significance of the work lies in the fact that implementation of HERS, together with the development of a national GIS platform and specialist training programs, increases Myanmar’s resilience to natural and anthropogenic threats and provides more evidence-based support for decision-making.
Copyright (c) 2025 Starkov A.V., Zin M.L., Samusenko O.E., Aung M.T., Nay H.L. https://creativecommons.org/licenses/by-nc/4.0
Functional Features and Radiation Protection Methods for a Spacecraft with a Nuclear Power Plant in the Gas-Dust Plasma Environment of its Own External Atmosphere
The operation of spacecraft with nuclear power plants operating under the influence of their own external atmosphere is associated with the effect of radiation transfer from the near-reactor zone to the area near the instrument compartment. This phenomenon is called “induced radiation”. Induced radiation has a negative effect on the equipment in the area near the instrument compartment. To protect against induced radiation, this article suggests, together with traditional protection methods, using special devices that provide additional radiation protection for spacecraft with nuclear power plants. These include: a positively charged separation screen; gas nozzles for purging the outboard space; electronic plasma neutralizers with thermionic cathodes. The combined use of traditional methods and additional protection devices to reduce the negative impact of a nuclear reactor will significantly extend the service life of the spacecraft.
Copyright (c) 2025 Ustinov A.N., Atamasov V.D. https://creativecommons.org/licenses/by-nc/4.0
Aircraft Pitch Control Via Parametric Identification and PID Optimization
A comprehensive methodology for designing an aircraft pitch angle control system is proposed, combining mathematical modeling, aerodynamic parameter identification, and controller optimization. A comparative study was conducted on the accuracy of the Euler and 4th-order Runge-Kutta methods for numerical integration of longitudinal short period motion equations in identification tasks. It was established that the Runge-Kutta method provides higher accuracy for estimating aerodynamic force coefficients, while the Euler method is preferable for moment analysis, defining the criteria for algorithm selection during data generation. Automated tuning of the PID controller in Simulink achieved record dynamic system performance characteristics (without considering the actuator): rise time - 0.0709 s, overshoot - 11.6%, which is 20-30% superior to results from known counterparts. The developed approach demonstrates the possibility of replacing labor-intensive flight tests with digital models while maintaining accuracy, thereby reducing design time. The results confirm that the integration of numerical modeling, parametric identification, and optimization forms a new standard for preliminary studies in aviation technology, aligning with the digitalization trends in the aerospace industry.
Copyright (c) 2025 San L.A. https://creativecommons.org/licenses/by-nc/4.0
Influence of Axial Load on the Performance of Ball Radial Bearings
Ball radial bearings are often used as shaft supports. They are designed to withstand radial loads. However, they are also quite efficient under axial loads. To determine the degree of influence of axial loads on the performance of these bearings, the nature of the interaction of rolling elements with the rings of single-row ball radial bearings installed in a thrust manner under a combined load is considered. A method for determining the ultimate radial and axial loads for these bearings has been developed. Expressions have been obtained that relate the axial load to the unused radial load. Specific examples have shown that the greatest reaction of supports with single-row ball radial bearings under a combined load on the shaft, when the axial load is ultimate, can be twice as great as a similar reaction of supports under only a radial load of the same magnitude on the shaft. An excessively large error in determining the reactions of shaft supports significantly reduces the performance of the bearings selected for it, accelerating their failure. In addition, when a calculation scheme for a shaft supported by radial ball bearings is drawn up, the shaft is always represented as a beam on two hinged supports. One of the supports was a fixed hinge, and the other was a movable hinge. It has been established that under the action of a combined load, both supports operate as fixed hinges because both perceive an axial load. In this case, one part of the shaft between the supports was stretched, and the other was compressed. The boundary between the stretched and compressed zones was the point of application of the axial force.
Copyright (c) 2025 Belousov Y.V., Shambina S.L., Rekach F.V., Kireev O.L. https://creativecommons.org/licenses/by-nc/4.0
Optimizing the Management of Defense Industry Enterprises Using BPMN Notation
The study addresses issues related to optimizing the management of defense industry enterprises using BPMN notation. The defense-industrial complex (DIC), as a key sector of the economy, plays an important role in ensuring national security, maintaining the country’s technological sovereignty, and stimulating economic growth. The authors analyze existing management processes of DIC enterprises and identify the main problems: outdated technologies, lack of strategic planning, low innovation and investment activity, shortage of highly qualified personnel, and difficulties with banking support for the state defense order. The paper proposes an improved BPMN management scheme that includes the creation of an innovation center. The innovation center is envisioned as an independent federal institution performing functions such as conducting R&D, acting as a technology accelerator, training personnel, developing economic strategies, and interacting with universities and technology startups. To assess the effectiveness of the proposed solutions in the DIC, formulas for Return on Innovation Investment, Technology Transfer Efficiency, and a personnel training indicator are presented. The authors emphasize that the use of this management scheme will significantly increase the innovation activity of DIC enterprises, enhance their resilience to external challenges, and accelerate the development and implementation of modern technologies in the defense sector of the Russian Federation.
Copyright (c) 2025 Boykov A.A., Samusenko O.E., Malikov E.A., Vinogradov E.V., Shishkin I.V., Romashchenko M.N., Sementsov D.A. https://creativecommons.org/licenses/by-nc/4.0
Synthesis of a Discrete Optimal Multidimensional Controller Based on Incomplete Data: Multidimensional Spectral Approach
The minimax formulation of the problem of linear stationary control based on incomplete data of multidimensional stationary in a broad sense random processes (vector useful signal) observed in an additive mixture with interference of the “white noise” type, when the spectral densities of disturbances in the measurement channel and in the measurement interference are completely unknown and belong to a certain set of non-negatively defined functions, is considered. Only the condition of linear regularity is imposed on the observed vector process. A guaranteeing estimate is considered, which means the best estimate of the parameters of a useful signal in the sense of a minimum standard error with the worst behavior of measurement errors and disturbances with spectral densities belonging to the set, with respect to which the optimal control is determined based on incomplete data. Regarding the spectral density of the useful signal, it is only known that it satisfies a given system of moment conditions and is concentrated on a given measurable subset of the frequency axis. It is shown that the factorization of the matrix spectral density makes it possible to obtain a solution to the problem of optimal minimax linear filtration and is necessary to solve the problem of linear optimal control based on incomplete data. The search for optimal control based on incomplete data from the emerging multidimensional antagonistic game is reduced to solving a specific system of relations. Matrix boundary value problem methods, Hilbert matrix transformations, and properties of matrix frequency characteristics are used in the solution. An illustrative example is presented.
Copyright (c) 2025 Sidorov I.G. https://creativecommons.org/licenses/by-nc/4.0
Digital Modelling of Low-Frequency ECG Signals Denoising
The problem of low-frequency noise (baseline wander) in long-duration digital electrocardiogram (ECG) signals, which can distort critical diagnostic features such as the ST-segment and T-wave morphology, is considered. Digital filtering methods are studied with an emphasis on low-frequency noise extraction and correction using Chebyshev type II and Butterworth filters synthesized in Python. The results show that a 7th-order high-pass filter with a cutoff frequency of 1 Hz effectively isolates the zero-potential line, whereas the filtfilt function is essential to avoid phase distortions. The success of the filtering method depends on the rate of change of the zero-potential line, and further work is required to develop quantitative criteria for evaluating and correcting filter-induced distortions. The proposed approach aims to improve automated ECG analysis and reduce false alarms in cardiac-monitoring systems.
Copyright (c) 2025 Kurbanov S.V., Andrikov D.A., Agasieva S.V., Iaroshenko A.V. https://creativecommons.org/licenses/by-nc/4.0
Development and Experience of Using Digital Tools for the Organization of Labor Protection During the Construction of the Amur Gas Processing Plant
The purpose of this study is to develop and describe software for the organization of labor protection during the construction of the Amur Gas Processing Plant (AGPP). The described methodology is based on risk assessment and selection of measures for managing the organization of construction and installation works. The professional risk management system was developed and put into practice in the 4th quarter of 2020. In 2022, based on the established database of identified hazards and their management measures, work was carried out to automate the process of hazard identification, as well as the formation of risk management maps and the familiarization of employees with the contents of these maps. The development and implementation of the proposed methodology has led to a significant reduction in the rates of health disorders of AGPZ employees both in terms of work-related diseases and injuries. The software developed as a result of the conducted research for professional risk assessment and management is recommended for practical use in the construction of new petrochemical and gas chemical plants.
Copyright (c) 2025 Stepanyan I.V., Kurochkin P.A. https://creativecommons.org/licenses/by-nc/4.0
Blockchain Technology for Managerial Decision Support
Blockchain technology has gained attention not only in the financial sector but also in public and corporate governance. Its core attributes - decentralization, immutability, and data transparency - can foster a new level of trust and efficiency in managerial decision-making processes. Given the ongoing digital transformation and the growing demand for transparency, many state organizations and governmental bodies consider blockchain a tool for addressing pressing issues in transaction control, document flow, and supply chain management. The key opportunities and limitations of using blockchain technology to support management decision-making at the government and corporate levels are explored. The empirical base included Russian and international scientific publications, official reports by international organizations, and findings from pilot projects and final qualification papers. Research methods encompassed content analysis, comparative analysis of case studies, and systematic data processing to form conclusions and recommendations. The study revealed that blockchain can enhance the transparency and reliability of managerial processes, expedite document flow, and strengthen stakeholder trust. However, organizational and legal barriers, as well as technical challenges (scalability, integration with legacy systems), hinder widespread adoption. Effective application of blockchain in managerial decision-making demands a comprehensive approach: improving the regulatory framework, developing human capital, and establishing a robust digital infrastructure.
Copyright (c) 2025 Talla Fongang T.P. https://creativecommons.org/licenses/by-nc/4.0
Application of a Genetic Algorithm for Pipeline Route Design
This study investigates the evaluation of a new approach for the pipeline route design process using the synthesis of artificial intelligence algorithms and Earth remote sensing data. For the effective construction of gas pipelines, a thorough comprehensive analysis of various geological, environmental, economic, and infrastructural factors is necessary. Route design is based on the principle of building a trajectory with the lowest cost. For this purpose, a multifactorial analysis of the territory was conducted according to key parameters that affect the financial costs during construction. The following groups of features were identified: water barriers, geomorphological factors, existing transport routes, specially protected natural areas, and proximity to large settlements. The approach of multifactorial suitability analysis was studied and adapted, on the basis of which the cost map used in the search for the path of lowest cost was formed. The main result of this study is the obtained software solution, which provides optimization of weighting coefficients in the multifactorial analysis of territories for laying main gas pipelines based on a genetic algorithm. The advantages of the proposed approach are the automation of the process and consideration of the regional characteristics of the territories. As a practical application, trajectories have been developed to solve the problem of gasification in the Krasnoyarsk Territory of the Russian Federation.
Copyright (c) 2025 Lobanov V.K., Kondrashina M.S., Gadzhiev S.M. https://creativecommons.org/licenses/by-nc/4.0
The Role of Intelligent Data Processing in Optimizing Companies’ Financial Efficiency
The relevance of the research lies in the increasing need for the use of intelligent data processing (IDP) to increase the financial efficiency of a business in conditions of economic instability. The development of artificial intelligence and machine learning allows organizations to effectively manage risks, optimize internal processes, and improve the accuracy of financial forecasting. The purpose of the research is to assess the impact of intelligent data processing on the financial efficiency of a business, identify key problems and propose solutions. To achieve this goal, a review of the literature was conducted, methods for optimizing business processes were identified, barriers to the introduction of IDP and prospects for its application were identified. The research methods include comparative, systematic and statistical analysis. The use of these methods allowed us to deeply explore the problem of implementing IDP in real business cases. The results of the study confirm that intelligent data processing significantly increases the financial efficiency of companies. However, the implementation of IDP is fraught with a number of problems, such as the need for additional investments, restructuring of business processes and ensuring staff qualifications. Despite the difficulties, the introduction of IDP allows companies to significantly increase their competitiveness and profitability. The conclusion of the research emphasizes that intelligent data processing in the modern economy is an important tool for improving the financial stability and competitiveness of businesses. With well-organized implementation, IDP helps optimize processes, improve forecasting and risk management, which leads to improved financial results.
Copyright (c) 2025 Chaplygina E.I., Kruglova L.V., Glavina S.G. https://creativecommons.org/licenses/by-nc/4.0