Articles

• 1

  Trends in the Artificial Intelligence Application in Professional Education

  Authors:

  A.V. Zazhigalkin, FSAEI FVT Academy for Standardization, Metrology and Certification (Training) (FSAEI FVT ASMS), 

  Dr. (Ec.)

  O.V. Meretskov, FSAEI FVT ASMS, PhD (Ped.)
  An overview of modern research in the field of application of artificial intelligence technologies in education is provided, and experience in the field of legislative regulation of this area. Promising areas of integration of artificial intelligence technologies into the educational process and proposals for ensuring technological leadership in this area were identified. Authors predict that the use of generative artificial intelligence as an auxiliary tool for developing digital educational content and supporting educational activities will become widespread. To prepare the professional community for using these tools, the Academy is implementing a professional development program called Artificial intelligence in corporate training. This program is specifically designed for corporate universities and training centers that offer professional development and retraining programs as a part of continuing professional education. 

  DOI: 10.24412/1993-8780-2025-6-04-11

  
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• 2

  Economic Safety of Digital Platforms. The Role of Algorithmic Sovereignty

  Authors: A.V. Garin, FSAEI FVT Academy for Standardization, Metrology and Certification (Training), PhD (Ec.), Melsig54@gmail.com
  This article presents a comprehensive study of the role of algorithmic sovereignty in B2B digital platforms as a critical component of economic security systems. The research examines the fundamental changes brought by digital transformation, where B2B platforms have become systemically important infrastructure accumulating vast amounts of data and managing complex algorithms that optimize supply chains, financial flows, and inter-enterprise interactions. The study explores the scientific discourse surrounding digital and algorithmic sovereignty, analyzing perspectives ranging from techno-globalism to digital decolonialism. The author investigate key threats to economic security arising from dependence on foreign-controlled algorithmic systems, including economic espionage, market manipulation, critical infrastructure vulnerabilities, and technological dependence. Special attention is given to the black box problem of AI algorithms and the need for explainable artificial intelligence, examining methods such as LIME and SHAP for improving algorithmic transparency. The research concludes that achieving algorithmic sovereignty requires a multifaceted strategy emphasizing transparency, accountability, security, fairness, and development of national competencies rather than protectionism or isolationism. 

  DOI: 10.24412/1993-8780-2025-6-12-16

  
  

  
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• 3

  Standardization of Aviation Equipment Production. Economic Efficiency

  Authors: S.A. Astakhov, Safronov State Treasury Scientific and Test Range of Aviation Systems, PhD (Tech.), info@gknipas.ru 

  N.N. Shvets, Moscow State Institute of International Relations (University) of the Ministry of Foreign Affairs of the Russian Federation, Prof. Dr. (Ec.) 

  V.I. Goncharenko, FSBIS Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Assoc. Prof. Dr. (Tech.)
  The article considers the role and importance of priority development of aviation industry of the country, reveals its modern state, defines the role of standardization in production of domestic aviation equipment as well as substantiate opportunities for improvement of economic efficiency of aviation industry on the basis of implementation of the Program of national standardization in this field. The authors paid special attention to the most relevant type of aircraft today, noting that the development of unmanned aviation is planned to be advanced. On January 1, 2024, the national project Unmanned aircraft systems was launched in Russia, with a budget allocation of 696 billion rubles from the federal budget until 2030. This area is expected to become one of the key areas in Russia’s technological development.

  DOI: 10.24412/1993-8780-2025-6-17-24

  
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• 4

  Quality Management of the Development of Domestic Trusted Artificial Intelligence Systems

  Authors: K.Z. Bilyatdinov, FSAEI HE St. Petersburg State University of Aerospace Instrumentation (FSAEI HE SUAI), Assoc. Prof. Dr. (Tech.), k01b@guap.ru

  N.V. Markelova, FSAEI HE SUAI, PhD (Tech.), markelova@guap.ru 

  Yu.V. Razinkina, FSAEI HE SUAI, razinkina@guap.ru 

  A.I. Akbasheva, FSAEI HE SUAI, albina-nl84@mail.ru
  The article discusses ways to improve the quality management of domestic trusted artificial intelligence (AI) systems. The need for national certification is substantiated, international and Russian standards are analyzed, and shortcomings are identified. Measures are proposed for explainability, ethics, monitoring, and comprehensive assurance of artificial intelligence trust. Based on the results of the analysis of quality management in domestic practice, the authors note that despite the existence of the first steps towards standardization and regulatory consolidation of requirements for trusted AI, there is still no unified, institutionally established approach to ensuring the quality of such systems. The identified problems may reduce the level of trust in AI systems from users and institutional customers, what indicates the need for the implementation of systemic and inter-level solutions. The problem of AI trust cannot be solved at the level of a single organization or a specific project, it requires an institutional approach and the coordinated participation of regulators, the scientific community, businesses, and standard-setters.

  DOI: 10.24412/1993-8780-2025-6-25-31

  
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• 5

  Risk Assessment During the Implementation of Reclamation Activities

  Authors: N.G. Nikolaeva, FSBEI HE Kazan National Research Technological University (FSBEI HE KNRTU), PhD (Chem.), natalia0205@yandex.ru

  A.S. Zabolotina, LLC UkuLab Kamchatka, alisazabolotina4@yandex.ru 

  R.N. Ismailova, FSBEI HE KNRTU, LLC UkuLab, PhD (Chem.), isma_70@mail.ru 

  S.M. Goryunova, FSBEI HE KNRTU, PhD (Chem.), svetlanagoryunova@yandex.ru
  According to the environmental management risk assessment guide, acceptable environmental risk is a compromise between the level of safety and the economic feasibility of achieving it. We have analyzed the various types of risk that may accompany the process of soil reclamation at the facility in the area of Cape Kamenny in the Yamalo-Nenets Autonomous Okrug. Emergency situations associated with diesel fuel spills were analyzed, taking into account the primary parameters (area and radius of spreading), the dynamics of fuel spread, the causes of risk events were identified and assessed, the consequences and response measures, as well as preventive measures were determined.

  DOI: 10.24412/1993-8780-2025-6-32-38

  
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• 6

  Reducing the Downtime of the Enterprise’s Technological Equipment

  Authors: A.A. Polyakov, PJSC Dolgoprudny Scientific and Production Enterprise, Polyakovaa1589@gmail.com
  In the article, the author presents a study on increasing the production capacity of a production unit. The analysis of the largest causes of downtime of technological equipment is carried out. A model is proposed for the formation of a production schedule of technological equipment based on an analytical report generated using an automated production dispatching system, which differs from previously used ones in that it takes into account the condition and causes of downtime of technological equipment to control the operation of equipment and personnel. The result of the work is an adjusted production schedule for the machining division. 

   DOI: 10.24412/1993-8780-2025-6-39-45

  
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• 7

  Modeling of Serial Production Processes of Import-Substituting Honeycomb Cores

  Authors: V.A. Shogenov, FSBEI HE Kazan National Research Technological University, Scientific and Production Complex Composite of JSC Romashin Obninsk Scientific and Production Enterprise Technology, shogenovva@technologiya.ru
  A simulation model of the technological process of honeycomb core production has been developed, it has no analogues of Russian production. An analysis of the structure of the production process, a probabilistic analysis of the duration of the stages of production preparation and the production cycle have been carried out. Using the model to improve the process under study has made it possible to develop an algorithm for optimizing the duration of the production process, taking into account the volume and cost of resources used at the production stages. The proposed algorithm can be widely used in solving resource-saving problems.

  DOI: 10.24412/1993-8780-2025-6-46-49

  
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• 8

  Risk-Based Approach to Complex Projects with Controllability in Mind

  Authors:

  I.Z. Aronov, Moscow State Institute of International Relations (University) of the Ministry of Foreign Affairs of the Russian Federation (MGIMO University of MFA RF), FSBI Russian Standardization Institute, Dr. (Tech.), Senior Researcher 

  G.G. Melkonyan, Institute of International Trade and Sustainable Development of MGIMO University of MFA RF
  The article is dedicated to the analysis of risks in the processes of constructing and modernizing transportation corridors, where there is a high degree of technological, economic, and political challenges. The authors justify the use of a risk-oriented approach, based on the international ISO 31000 standards, for the systematic identification, evaluation, and management of potential project threats. Methods for calculating the criticality of events are discussed, including the use of the RPN indicator, which is defined as the product of the significance of the event, its probability of occurrence, and, in complex projects, the degree of risk controllability. The paper proposes a classification of risks into controllable, partially controllable, and uncontrollable, as well as a risk zoning methodology for determining the priority of mitigation measures. The authors emphasize that implementing this approach optimizes resource allocation and increases the project’s resilience to adverse effects.

  DOI: 10.24412/1993-8780-2025-6-50-54

  
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• 9

  Machine Learning Methods for Predicting Defects in Production Processes

  Authors: Ya.R. Sunitskiy, Moscow Aviation Institute (National Research University), sunitsky2018@yandex.ru
  Traditional quality control methods based on random testing are often insufficient to detect defects in a timely manner. As a result, there has been an increased interest in using machine learning techniques that can analyze large amounts of production data in real-time and predict the likelihood of defects. The paper provides an overview of existing machine learning approaches and algorithms used in industrial analytics, including both classical methods and modern deep learning models. In addition, the article addresses key issues related to the insufficient quality of source data, limited interpretability of complex models, and difficulties that arise when integrating AI solutions into existing production chains. It is concluded that further research in this area is highly promising and relevant.

  DOI: 10.24412/1993-8780-2025-6-55-57

  
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• 10

  Metrological Support of the Refueling Complex

  Authors: L.V. Polyakova, Mendeleev University of Chemical Technology of Russia (MUCTR), PhD (Tech.), polyakova1803@mail.ru 

  A.S. Serebrova, MUCTR, serebro-_a@mail.ru 

  G.A. Osipov, MUCTR, georg.osipovv@yandex.ru
  We have presented a comprehensive study of the metrological support of a refueling complex, including a detailed analysis of its structural elements and functional components. Special attention is paid to the classification of measuring instruments used in aviation refueling complexes, with a detailed description of their technical characteristics and applications. We have provided detailed definitions of key concepts such as internal metrological supervision and control of metrological characteristics, revealing their essence and practical significance. The paper considers the methodology of maintenance of measuring instruments. The specific tasks of monitoring the state of the organization’s metrological support and control methods that allow timely identification and elimination of nonconformities are disclosed. In conclusion, it is emphasized that metrological supervision is not just an integral part of metrological support, but a key element ensuring the reliability of measurements, the safety of technological processes and the efficiency of the entire refueling complex. The practical significance of the work lies in the possibility of using the presented materials to optimize metrological activities at aviation industry enterprises and increase their overall efficiency.

  DOI: 10.24412/1993-8780-2025-6-58-61

  
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• 11

  30 Years of Confident Movement for the Professional Future’s Benefit

  Authors: M.A. Cherepanov 

  M.A. Ishutina 

  N.S. Ermakova
  On July 11, 2025, the Ural branch of ASMS turns 30 years old. This is a significant date for the entire team, students and partners with whom we developed the system of additional professional education in the field of standardization and metrology. Over three decades, the branch has trained tens of thousands of specialists, has become one of the largest regional competence centers and has won the trust of leading enterprises in Russia and neighboring countries. 

  DOI: 10.24412/1993-8780-2025-6-62-63

  
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• 12

  They Know Us, They Come Back to Us: Novosibirsk Branch of ASMS Is 30 Years Old!

  Authors: I.V. Yakimova, Novosibirsk Вranch of FSAEI FVT Academy for Standardization, Metrology and Certification (Training)
  On September 1, 2025, Novosibirsk branch of ASMS will celebrate its 30th anniversary. Over these years, a serious path has been covered, many milestones have been conquered, various obstacles have been overcome. Today, Novosibirsk branch of ASMS rightfully occupies a stable position in the market of additional professional education. In order to meet the time and market requirements, we are constantly solving more and more new tasks, working on prospects, and improving our activities. We have many achievements, we have something to be proud of, but the most valuable and significant result is our listeners, sought-after and competent specialists working in enterprises of various sectors of the economy.

  DOI: 10.24412/1993-8780-2025-6-64-65

  
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