The article examines the application of artificial intelligence in cybersecurity, focusing on the experience of Russian companies. The study analyzes artificial intelligence technologies used for threat detection, vulnerability assessment, and automation of information assets protection processes. The aim of the article is to evaluate practical implementations of artificial intelligence in cybersecurity and assess its effectiveness. The research explores key areas including abnormal activity detection, phishing attack prevention, and incident response automation while examining case studies from major Russian corporations such as Sberbank and Rostelecom. The methodology relies on the analysis of open data, publications, and reports. The author’s approach emphasizes the Russian context, revealing unique aspects and challenges of artificial intelligence adoption in local cybersecurity practices. The novelty of the research lies in summarizing the data on artificial intelligence applications in the Russian cybersecurity and identifying its key benefits and challenges. The results of the study demonstrate successful artificial intelligence implementations in banking, telecommunications, and government sectors. While confirming significant improvements in cybersecurity effectiveness through artificial intelligence, the research also highlights persistent issues such as false positives and ethical concerns. Future research directions include automation advances and closer integration of artificial intelligence technologies into cybersecurity systems

The positioning of robotic systems is a key aspect of the development and operation of autonomous robots. This topic covers many points, such as navigation, perception of the environment, data processing, and motion planning. The determination of the robot’s position in space is an essential step in the creation of any mobile robotic system. Effective positioning allows robots to identify their exact location in space and relative to surrounding
objects, which is crucial for performing various procedures. Modern positioning approaches include the use of many kinds of sensors and technologies, such as inertial measurement units, cameras, and laser rangefinders. The integration of diverse data sources allows not only to increase accuracy but also to ensure the reliability of positioning systems in conditions where one type of sensor may malfunction. This article analyzes common approaches to local object positioning, omitting global positioning technology. The process of combining and integrating the specified methods is assessed to enhance the accuracy and dependability of localization results within the surrounding area. Specifically, a solution is provided for the optimal non-linear filtration problem, which employs an extended Kalman filtering approach. A comparative analysis of the advantages and disadvantages of
the most common approaches in defining the robot’s location is performed, and a recommended mechanism for achieving maximum accuracy in carrying out the positioning task is determined

The paper describes a power unit model of a device generating a plasma barrier discharge at atmospheric pressure in a gas-discharge gap. This model includes a power unit, a high-voltage transformer, and a control system, which are all produced using physical simulation tools. The research presents both the modeling results and the experiment findings of obtaining dielectric barrier discharges.

The paper considers the problem of optimal drone assignment for group pursuit of multiple targets. A MATLAB implementation of the Hungarian algorithm, also known as the Munkres assignment algorithm, is presented for addressing the conventional distribution problem in multi-agent systems. The algorithm provides a globally most suitable solution for minimizing the total cost of assignments between pursuers and targets. The developed program supports loading cost matrices from MAT and CSV files, automatic variable detection in MAT files, and interactive file selection via a graphical interface. Input data validation checking the correctness of matrix dimensions and the absence of invalid values, is implemented. An evaluation of the Hungarian algorithm’s efficacy compared to the greedy algorithm is performed using 10×10 cost matrices. The results demonstrate a significant improvement in quality of solution finding when using the Hungarian algorithm, which confirms its advantages for group pursuit problems. The proposed method can be used in control systems for unmanned aerial vehicles, robotic platforms, and other multi-agent systems requiring optimal resource allocation

The article addresses the problem of designing and implementing a relational database for the automated registration of vehicles, their owners, and road traffic accidents on the Microsoft Access platform. This paper outlines the conceptual modeling stages (infological model), the standardization of data structures, and the development of user interface components, including forms, navigation controls, and reports. Special attention is paid to the database interface (main switchboard, input forms, and reports) and applied tools for the data verification and visualization. Testing of system usability and functionality is performed, emphasizing improvements in ergonomics and efficiency concerning the processing of transport-related data. The results
demonstrate benefits of the proposed solutions for specialized information systems in the transport sector

The paper examines the frequency properties of magnetoelectric structures. The main task of the work is the construction of a frequency model of the direct magnetoelectric effect. This model is based on the experimental research conducted on a two-layer composite sample of lead zirconate titanate (PZT) – MetGlass in a magnetic field created using Helmholtz coils. The study results are the creation of a generalized equivalent circuit of two-layer magnetoelectric structures and the development of a method for calculating its characteristics. The findings are applicable to the utilization of two-layer structures in the design of electrical devices (filters, magnetoelectric transformers) and, subsequently, to the creation of novel composite materials.

The article presents a multi-layered protection strategy for software systems and the acoustic data they process, developed using the “Voicemail” and “Acoustic Optimizer” applications. The fundamental aspect of this methodology is a structural transformation applied to the audio stream, incorporating lossy compression to retain the original information, which in turn facilitates the utilization of a compact data representation for the purpose of concealment. The proposed strategy combines software and hardware protection methods, including program instance individualization, code obfuscation, integration of external hardware modules, and procedure formalization using an operator-based model. The implementation of these methods ensures the resilience of software solutions against analysis, reverse engineering, and tampering while also enhances the protection of acoustic data against unauthorized access

The paper describes a process for creating spatial autocorrelation functions using correlation coefficients derived from time series data collected at various spatial observation points. The implementation of the proposed method is demonstrated using monitoring of the total ozone content from a space platform in the Northern Hemisphere mid-latitudes.

The paper presents an experimental study of a modernized brushless direct current motor and develops mathematical and parameter-oriented models for calculating maximum speed based on the characteristics of the motor. The experiments on the test bed show the dependency relations of the motor revolutions to the current at each of its phases. The specified dependencies reflect the main motor settings and allow obtaining the peak current and speed values.
The testing establishes the fact that the winding coil amount has a limit. A sudden increase in the maximum
current specifies it without changes in the number of motor revolutions. A parameter-oriented model is developed by linking the conveniently measurable electrical characteristics of a modernized brushless direct current motor and a battery with the maximum speed. Also, a mathematical model of such a motor is proposed, which makes it possible to calculate the peak current and corresponding revolutions based on its parameters. The study shows the necessity of considering the influence of the chief characteristics and counter-electromotive force while working on the development of similar models, as the impact of the latter is a major at maximum speed.