RUDN Journal of Engineering Research
type: channel
description: 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
publisher: Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)
language: ru-RU
publication name: RUDN Journal of Engineering Research
issn: 2312-8143
copyright: The right of authorship belongs to the authors of articles. The authors transfer the rights to use the article (including the use and distribution of an article in the Open Access) to the publisher of the journal on a non-exclusive license (Publishing Agreement (Public Offer)). At the same time, authors remain full rightsholders. 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…
items: Optimizing Space Robot Configurations to Minimize Capture Contact Forces
items: Formulation of Satellite-UAVs Integration System for Earth Remote Sensing in the Republic of the Union of Myanmar
items: 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
items: Aircraft Pitch Control Via Parametric Identification and PID Optimization
items: Influence of Axial Load on the Performance of Ball Radial Bearings
items: Optimizing the Management of Defense Industry Enterprises Using BPMN Notation
items: Synthesis of a Discrete Optimal Multidimensional Controller Based on Incomplete Data: Multidimensional Spectral Approach
items: Digital Modelling of Low-Frequency ECG Signals Denoising
items: Development and Experience of Using Digital Tools for the Organization of Labor Protection During the Construction of the Amur Gas Processing Plant
items: Blockchain Technology for Managerial Decision Support
items: Application of a Genetic Algorithm for Pipeline Route Design
items: The Role of Intelligent Data Processing in Optimizing Companies’ Financial Efficiency

Optimizing Space Robot Configurations to Minimize Capture Contact Forces
type: item
description: 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.
creator: Yeshurun A. Adde
creator: Yury N. Razoumny
creator: Araya Abera Betelie
creator: Biruk Degefu
rights: Copyright (c) 2025 Adde Y.A., Razoumny Y.N., Betelie A.A., Degefu B. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 343
ending page: 358
doi: 10.22363/2312-8143-2025-26-4-343-358

Formulation of Satellite-UAVs Integration System for Earth Remote Sensing in the Republic of the Union of Myanmar
type: item
description: 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.
creator: Alexandr V. Starkov
creator: Mar Lwin Zin
creator: Oleg E. Samusenko
creator: Myo Thant Aung
creator: Htet Linn Nay
rights: 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
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 359
ending page: 375
doi: 10.22363/2312-8143-2025-26-4-359-375

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
type: item
description: 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.
creator: Aleksander N. Ustinov
creator: Vladimir D. Atamasov
rights: Copyright (c) 2025 Ustinov A.N., Atamasov V.D. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 376
ending page: 387
doi: 10.22363/2312-8143-2025-26-4-376-387

Aircraft Pitch Control Via Parametric Identification and PID Optimization
type: item
description: 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.
creator: Lin Aung San
rights: Copyright (c) 2025 San L.A. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 388
ending page: 398
doi: 10.22363/2312-8143-2025-26-4-388-398

Influence of Axial Load on the Performance of Ball Radial Bearings
type: item
description: 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.
creator: Yuriy V. Belousov
creator: Svetlana L. Shambina
creator: Fedor V. Rekach
creator: Oleg L. Kireev
rights: Copyright (c) 2025 Belousov Y.V., Shambina S.L., Rekach F.V., Kireev O.L. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 399
ending page: 411
doi: 10.22363/2312-8143-2025-26-4-399-411

Optimizing the Management of Defense Industry Enterprises Using BPMN Notation
type: item
description: 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.
creator: Anton A. Boykov
creator: Oleg E. Samusenko
creator: Evgeny A. Malikov
creator: Evgeny V. Vinogradov
creator: Ilya V. Shishkin
creator: Maksim N. Romashchenko
creator: Dmitry A. Sementsov
rights: 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
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 412
ending page: 427
doi: 10.22363/2312-8143-2025-26-4-412-427

Synthesis of a Discrete Optimal Multidimensional Controller Based on Incomplete Data: Multidimensional Spectral Approach
type: item
description: 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.
creator: Igor G. Sidorov
rights: Copyright (c) 2025 Sidorov I.G. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 428
ending page: 446
doi: 10.22363/2312-8143-2025-26-4-428-446

Digital Modelling of Low-Frequency ECG Signals Denoising
type: item
description: 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.
creator: Sinan V. Kurbanov
creator: Denis A. Andrikov
creator: Svetlana V. Agasieva
creator: Artem V. Iaroshenko
rights: Copyright (c) 2025 Kurbanov S.V., Andrikov D.A., Agasieva S.V., Iaroshenko A.V. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 447
ending page: 456
doi: 10.22363/2312-8143-2025-26-4-447-456

Development and Experience of Using Digital Tools for the Organization of Labor Protection During the Construction of the Amur Gas Processing Plant
type: item
description: 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.
creator: Ivan V. Stepanyan
creator: Pavel A. Kurochkin
rights: Copyright (c) 2025 Stepanyan I.V., Kurochkin P.A. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 457
ending page: 465
doi: 10.22363/2312-8143-2025-26-4-457-465

Blockchain Technology for Managerial Decision Support
type: item
description: 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.
creator: Thierry P. Talla Fongang
rights: Copyright (c) 2025 Talla Fongang T.P. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 466
ending page: 471
doi: 10.22363/2312-8143-2025-26-4-466-471

Application of a Genetic Algorithm for Pipeline Route Design
type: item
description: 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.
creator: Vasily K. Lobanov
creator: Mariia S. Kondrashina
creator: Shamil M. Gadzhiev
rights: Copyright (c) 2025 Lobanov V.K., Kondrashina M.S., Gadzhiev S.M. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 472
ending page: 480
doi: 10.22363/2312-8143-2025-26-4-472-480

The Role of Intelligent Data Processing in Optimizing Companies’ Financial Efficiency
type: item
description: 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.
creator: Elizaveta I. Chaplygina
creator: Larisa V. Kruglova
creator: Sofya G. Glavina
rights: Copyright (c) 2025 Chaplygina E.I., Kruglova L.V., Glavina S.G. https://creativecommons.org/licenses/by-nc/4.0
license: https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-25
publication date: 2025-12-25
volume: 26
number: 4
starting page: 481
ending page: 490
doi: 10.22363/2312-8143-2025-26-4-481-490