Russian Journal of Cybernetics

Congratulations on Winning The Government Awards!

Editorial Board — 2024-03-29

Intuitive Logical Systems and Their Applications in Artificial Intelligence Technologies

T. V. Gavrilenko — 2024-03-29

the paper considers the construction of intuitive language images related to the concept of artificial neural networks (ANN) which are extensively used and without proper, rigorous mathematical justification applied to artificial intelligence (AI) technologies. This work aims to identify the semantics for creating a rigorous mathematical foundation for the future theory of ANNs and AI. A fundamental aspect of these technologies is the conceptual analytical apparatus created by the intelligence of the Human in their information environment, in which ANN and AI act as auxiliary, fast-acting tools. They contribute to the solution of tasks formulated within the framework of the universal intuitive language environment. In the context of the developed approach, metrics in solution spaces are defined, in particular, in the tasks of visual correlation analysis applied to efficiently reveal the relationships of experimental observations. The concepts of theory and semantic relevance as defined by Man are presented. Possible limitations in AI technologies based on the peculiarities of human thinking and language systems are shown

Porous Media Modeling With The Network Model

A. E. Dashevsky — 2024-03-29

the article briefly describes the network model for porous media. The technique of fictional porous media construction, which based on network model principals, is proposed, as well as example of application of this technique for task of calculating pressure in porous media

Simulation of Inertial Sensors in Virtual Environments

E. V. Strashnov — 2024-03-29

this study deals with the simulation of inertial and magnetic sensors in virtual environment systems. We proposed a mathematical model for the correction of accelerometer, gyroscope, and magnetometer readings to account for the effects of temperature, cross-coupling, and noise. We also proposed using the sensor readings to compute the Euler angles that define the vehicle’s orientation. We calibrated the accelerometer and gyroscope readings to reduce the zero drift error. The Euler angles were derived by integrating the gyroscope readings and using the found relationships between the accelerometer and magnetometer readings. To eliminate the cumulative integration error caused by sensor noise, we implemented a complementary filter. It mixes the angles in a given ratio. We tested these approaches in a virtual environment with a virtual quadcopter and a coaxial-rotor helicopter. The results were promising and can be used in advanced simulators designed to train UAV operators

Entropy-Based Approach To Assessing Human Biomechanical Parameters

D. V. Gorbunov — 2024-03-29

the application of physical methods and models in the assessment of human biomechanical parameters is challenging. It means the loss of ergodicity for any samples. This questions any further application of all statistics, In particular, the estimation of the Shannon entropy (H) for tremor and tapping samples is not well studied. This study presents the Shannon entropy estimation results for tremor samples of a person in different physiological states (without load and under dosed static load). It is shown that type 1 uncertainty arises (statistical values are identical)

Accuracy Assessment for Franchising Financial Forecasting Methods

D. A. Abramenko — 2024-03-29

the challenge of financial data forecasting is a ubiquitous concern across numerous corporations. In today’s business landscape, the strategic planning of financials for future periods is an indispensable aspect of corporate management. To facilitate this, a plethora of software products are employed for the meticulous management and processing of specific datasets. Particularly in the context of franchising, the construction and projection of financial models emerge as paramount tasks within the framework of franchise operations. Distinct business domains necessitate varied forecasting resources, thereby escalating the demands on software products and engendering a trend towards increasingly complex and refined processes. This study aims to evaluate the efficacy of various data forecasting methodologies through their application to and interpretation of financial data derived from a Dodo Pizza franchise outlet

Increasing the Overhead Power Line Capacity Using a Booster Transformer

V. Z. Manusov — 2024-03-29

this study evaluates technical interventions aimed at enhancing the power supply quality to electrical systems within oil and gas fields that are distantly located from centralized power supply points, specifically by augmenting the capacity of existing 6 kV field overhead lines. Utilizing a case study, the performance of an overhead line spanning 12.338 km (inclusive of anticipated desoldering) under varied electrical load conditions was examined. To facilitate the electrification of newly inaugurated facilities, the entity responsible for the electrical infrastructure of the referenced hydrocarbon extraction complex suggested the creation of a decoupling from the current 6 kV overhead line. Given the expected addition of new electrical consumers, which would result in an increased load on the pre-existing line, the study not only computed electrical loads but also estimated the projected current load and evaluated the wire cross-section for long-term allowable current. Additionally, the voltage level at the proposed connection point was calculated with the anticipated load in mind, revealing a reduction in voltage below the standards mandated by GOST 32144-2013. The implementation of an automatic voltage regulation node employing a booster transformer is recommended. The paper calculates the effectiveness of using a booster transformer to expand line capacity and highlights the method’s advantage of rapid deployment compared to alternative solutions for improving power supply quality to industrial installations

Comparative Analysis of the Energy Efficiency of Hierarchical Data Transmission Protocols in Geographically Distributed Wireless Sensor Networks

L. L. Semenova — 2024-03-29

this study conducts a comparative analysis of the energy efficiency of LEACH and PEGASIS protocols within the context of their application in geographically distributed wireless sensor networks. The research aims to identify the relationship between protocol selection and network energy efficiency, as well as to determine the impact of these protocols on the lifespan of sensor networks. Simulation results demonstrate that the PEGASIS protocol surpasses LEACH in both parameters, providing longer network operation and improved energy efficiency. Based on the findings, one of the factors for optimal sensor network deployment strategies can be determined, considering their energy characteristics and operational longevity requirements

Managing Power Supply to Electrical Loads Voltage Dip Conditions

Yu. N. Smykov — 2024-03-29

this study aims to establish a methodology for evaluating the impact of conductive electromagnetic disturbances (EMDs) on voltage dips and their effect on the quality of power supply systems. Special focus is given to standalone power supply systems, which are particularly susceptible to such disturbances due to their higher occurrence rates and significant impact. The research presents a classification for the effects of conductive EMDs on the dynamic stability of asynchronous electric motors, categorized by their power ratings. It includes diagrams illustrating the relationship between the duration of conductive EMDs and voltage dips on the dynamic stability of asynchronous motors of various powers. The probability of conductive EMDs causing voltage dips is usually derived from statistical data. However, evaluating the extent of their impact on installed electrical equipment remains a critical issue. This paper establishes a foundational analysis of the necessity of implementing disturbance mitigation strategies and measures against the considered EMDs. It specifically explores the time vs. residual voltage relationship

Follow-Up Care for Neurological Outpatients

V. B. Tyutyunnik — 2024-04-06

this study investigates the challenges associated with outpatient care for neurological patients, with a particular focus on the obstacles encountered in long-term management and communication between patients and their healthcare providers. It highlights the ”dark period” between specialist visits, a time that may lead to various issues adversely affecting the efficacy of treatments and patient health. The research critiques traditional approaches and introduces innovative strategies for enhancing care and continuous patient observation. These include leveraging telemedicine and mobile technologies for better care delivery and utilizing smartphones with integrated sensors to collect and transmit real-time health data to medical professionals, thereby offering a more complete clinical overview. The paper concludes by noting the current lack of a dedicated platform but underscores the promising potential of existing solutions to improve therapeutic outcomes and reduce the risks associated with neurological conditions

Constraints for the Computer Science Major Curriculum Optimization Problem

M. V. Yurchishina — 2024-04-06

this study presents a set of constraints used in the curriculum optimization problem of computer science majors. A simulation model of an optimal curriculum can have different objective functions as required by the user. The constraints filter out a set of acceptable values so that the filtered values can be used even without solving for the objective function. In addition to basic constraints such as the number of semesters and credit hours for each course, the system also includes constraints that govern the sequence of related courses. We interviewed experts and used the pairwise comparison approach to identify the groups of related courses and to assign them to semesters. We used a new method for processing pairwise comparison matrices. We also intoriduce the course sequence factor that can be converted into the specific number of the semester