Vol 75, No 1 (2025)

Year: 2025
Articles: 11
URL: https://journals.rcsi.science/2079-0279/issue/view/21261

Full Issue

Data Mining and Pattern Recognition

Extraction and structuring of expert knowledge for a diagnostic system for acute appendicitis in children

Bogatikovа M.I., Kobrinsky B.A.

Abstract

The article presents the process of knowledge extraction and structuring in the medical subject area for the created expert system for diagnosing acute appendicitis. Knowledge was elicited from two experts. Difficulties in the formation of the feature space, which is necessary to determine the form of appendicitis, complications and differential diagnostics with other diseases similar in clinical picture, are noted. A key feature of the structured knowledge representation is, along with the attribute, characteristic and value of the feature, the inclusion of an "index sign" position, which indicates the stage of the pathological process or a possible diagnosis from the differential diagnostic range of acute appendicitis.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):3-9

3-9

(Rus)

(JATS XML)

The capacity of ideographic research of network communities by means of intellectual text analysis

Kuznetsova Y.M., Chudova N.V., Chuganskaya A.A.

Abstract

A description of the groups of participants in urban network communities is presented, based on the results of mathematical processing of data on the network activity of users and on the characteristics of their textual activity obtained using the TITANIS tool during network discussions. The results demonstrate the validity of conducting research for social monitoring tasks performed in a mixed nomothetic and ideographic manner, when the socio–psychological "portrait" of a large group is based on the methods of artificial intelligence and mathematical statistics.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):10-20

10-20

(Rus)

(JATS XML)

System diagnostics socio-economic processes

Improving the methodology for assessing the effectiveness of the system of professional educational organizations in the region

Buletova N.E.

Abstract

The article presents the results of a study of typical problems of secondary vocational education in Russian regions, such as inefficient organization and distribution of specialties and professions, which are used to train specialists in all sectors of the national economy, as well as material, technical and personnel support for the educational process. The article presents the content of the methodology for optimizing the composition of educational programs of secondary vocational education implemented on the basis of PEO, to argue for the transformation of the regional PEO system towards increasing its efficiency. For rating PEO, an algorithm for conducting a rating of PEO for each specialty (profession) has been developed with testing on an example. A methodology for assessing the activities of professional educational organizations in the region is proposed to determine the admission target figures (ATF) with an example of interpreting the assessment results.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):21-36

21-36

(Rus)

(JATS XML)

Reputation-based System for Expert Workforce Support for China-Russia Partnership

Kuzminov I.F., Ignatova V.A.

Abstract

This article presents the concept of a reputation-based organizational and technical system designed to facilitate workforce interaction between the Russian Federation and the People's Republic of China in support of investment, industrial, and innovation-technology cooperation. The article addresses issues related to workforce provision, including insufficient data structuring, lack of mechanisms for validating competencies, and information noise, which render current platforms unsuitable for finding highly specialized experts. The proposed system is based on the use of modern technologies such as artificial intelligence, machine learning, semantic analysis, and manual data curation, along with the integration of state accreditation and verification mechanisms. It aims to eliminate linguistic, cultural, and informational barriers between the labor markets of Russia and China, while providing a unified tool for identifying top-tier experts with unique competencies, essential for executing complex international projects.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):37-47

37-47

(Rus)

(JATS XML)

Russian society: state, possible directions of development: socio-philosophical aspect

Pazyuk Y.V., Efimova V.P., Osipov S.N.

Abstract

Based on the analysis of the international political situation, the article identifies the main factors influencing Russia and substantiates the reasons for the Russia–West confrontation. A structural and functional civilizational model has been constructed and a philosophical and social analysis of the directions of development of Russian society has been carried out, the ways of forming a new worldview paradigm based on the spiritual development of man and society, its value system, have been identified. It is shown that the main form of human activity is a triad: activity, behavior and communication in society. During the period of the Russia-West confrontation, it is necessary to modernize all spheres of culture based on their spiritual and moral values, mentality, and ethics. It is necessary to create a culturally creative, spiritual and intellectual Russian elite, the basic characteristics of which are: a high level of mental abilities, creative activity, commitment to the highest ideals of morality.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):48-61

48-61

(Rus)

(JATS XML)

Basic information technologies and spatial hierarchy of behavioral “rules”: comparative genesis

Grinchenko S.N.

Abstract

From the standpoint of informatics and cybernetic modeling of the process of development of the selfcontrolling hierarchical-network system of Humanity, the comparative genesis of basic information technologies (BIT) and the spatial hierarchy of behavioral “rules” of adaptive behavior (AB) is considered, which at the stages of complication of Homo sapiens looks like this: communities at the level of proto-civilizations, relying on their own version of BIT speech/language, determine possible forms of AB of their own individuals, oriented towards maximizing their energy efficiency, by assigning fixed “prescriptive rules” of AB (i.e. equality-type restrictions) to their own families, and “limit rules” (i.e. inequality-type restrictions) to their own clans, establishing the boundaries of possible implementations of their AB. With further growth of the hierarchy of the Humanity system, structures additionally arise on the basis of new BITs that expand behavioral “limit rules” to levels: BIT of writing/reading – local civilizations, BIT of text replication – regional civilizations, BIT of local computers – Planetary Civilization, BIT of telecommunications/networks – Civilization of Near-Earth Space. The special role of the family, implementing the only prescriptive rules of the AB, against the background of the limit rules formed by larger communities, and the importance of the correspondence of conscious actions of people to implement the AB to the algorithms of the “unconscious” AB of the self-controlling system of Humanity are noted.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):62-72

62-72

(Rus)

(JATS XML)

Information Technologies

Enhancing Blockchain-Based Access Control Using Probabilistic Filters

Maalla M.

Abstract

Attribute-Based Access Control (ABAC) in blockchain environments faces challenges in token management, including privacy, storage efficiency, and token lifecycle handling. Storing tokens on-chain compromises privacy and increases costs. This paper introduces a token management system using probabilistic filters, comparing Bloom and Cuckoo filters for efficient token storage and verification. Experiments on the Ethereum testnet show that Cuckoo filters deliver superior performance, with configurable false positive rates as low as 9.54 ×10-7 and support for lifecycle operations like deletion. The system achieves a 99.8% success rate for basic operations while ensuring efficient gas consumption. Under high load, it handles up to 80 operations per minute with minimal performance degradation. These results demonstrate that probabilistic filters, especially Cuckoo filters, provide an efficient and scalable solution for managing tokens in blockchain-based access control systems.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):73-82

73-82

(Eng)

(JATS XML)

Enhancing Kubernetes Security with Feedback-Driven Machine Learning Models

Darwesh G.

Abstract

Kubernetes has become the cornerstone of container orchestration in modern cloud computing, offering unmatched scalability and flexibility. However, its growing adoption has introduced critical security challenges, particularly in mitigating Denial-of-Service (DoS) attacks. This study presents an innovative seven-layer framework to enhance Kubernetes security through real-time anomaly detection and feedback-driven machine learning models. The framework integrates two core components: a Feedback Application that captures user input to improve detection precision and a Model Agent for real-time data collection, anomaly detection, and adaptive model retraining. By combining real-time metrics with user feedback, the system dynamically evolves to address emerging threats, ensuring robust protection for Kubernetes environments. Experimental results demonstrate the framework's effectiveness in achieving high anomaly detection accuracy, reducing false positives, and maintaining adaptability in dynamic, cloud-native infrastructures.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):83-89

83-89

(Eng)

(JATS XML)

Development of digital platforms and their role in the global economy

Dzhelyalov A.A.

Abstract

The article explores the impact of digital platforms on the global economy, emphasizing their role in reshaping industries and fostering a platform-based economy. Key focuses include their influence on economic structures, business models, and supply chains. Using analytical and comparative methods, the study highlights both the transformative potential of platforms in improving efficiency and the challenges they pose, such as regulatory gaps and social inequality. Case studies of Amazon and Uber illustrate their economic impact, while business models like advertising and commissions are analyzed. The conclusion stresses the importance of regulation to ensure sustainable growth and equity in the platform economy. Recommendations address market dominance, taxation, and data governance, offering a foundation for future research and policy-making.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):90-98

90-98

(Rus)

(JATS XML)

Methods and Models in Economy

Macroeconomic models of forecasting development of economy of Far Eastern Federal District and its regions

Galin D.M., Sumarokova I.V.

Abstract

Construction of macromodels of Far Eastern Federal District and its three regions and forecasting development of their economies with using these macromodels are described in the article. Results of that forecasting for the period until 2033 year by two scenarios, worked out formerly for forecasting economic dynamics of Russia, are presented. Each of these scenarios is characterized by values of world prices of Urals oil and natural gas and reference price of gold for 2021-2033 years. For each region (including federal district) the preferable scenario for development of its economy is determined. For one of scenarios the region with most dynamically developing economy is determined. Forecasting economic dynamics of indicators by structure of volume of shipped production (works, services), which did not go into macromodels, is considered also.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):99-111

99-111

(Rus)

(JATS XML)

Methods and Models of Systems Analysis

System analysis of the influence of clouds on the assessment of solar optical radiation arriving at the earth

Asadov H.H., Abilova N.S.

Abstract

The problem of achieving the receipt of the largest amount of solar optical radiation to a certain limited area of the Earth's surface in cloudy conditions is formulated from the standpoint of system analysis and solved. In accordance with the need to take into account the dynamics of the analyzed processes, the required correlation between the albedo of clouds and the zenith angle of the Sun, at which the largest amount of solar radiation will enter the selected area of the Earth, is investigated. It is shown that the maximum intake of solar radiation to the selected area will be recorded if there is a positive correlation between these indicators, i.e. if an increase in the zenith angle of the Sun is accompanied by an increase in the albedo of clouds, and a decrease in the zenith angle is accompanied by a decrease in the specified albedo.

Show

Hide

Proceeding of the Institute for Systems Analysis of the Russian Academy of Science. 2025;75(1):112-118

112-118

(Rus)

(JATS XML)

Username
Password
Remember me

Forgot password?	Register

Username
Password
Remember me

Forgot password?	Register