This paper describes a virtualized environment designed to conduct comprehensive experiments involving peer-to-peer networks and information security algorithms. The architecture is based on integrating the VMware hypervisor with the EVE-NG network device emulation platform, providing flexible resource allocation and realistic topology simulation. A MikroTik router serves as the central node, enabling a “star-shaped” scheme of interaction among virtual machines running various operating systems (Windows 7, 10, 11, Linux Debian). The chosen configuration simplifies testing the multiple initial connections and multi-level cryptography algorithms, ensures stable routing, and supports further automation of software installation using Bash or PowerShell scripts.
Keywords: information security, virtualized environment, multiple initial connections, peer-to-peer network, virtual private network
Introduction: Mobile Gaming Addiction (MGA) has emerged as a significant public health concern, with the World Health Organization recognizing it as a gaming disorder. Russia, with its growing mobile gaming market, is no exception. Aims and Objectives: This study aims to explore the feasibility of using neural networks for early MGA detection and intervention, with a focus on the Russian context. The primary objective is to develop and evaluate a neural network-based model for identifying behavioral patterns associated with MGA. Methods: A proof of concept study was conducted, employing a simplified neural network architecture and a dataset of 101 observations. The model's performance was evaluated using standard metrics, including accuracy, precision, recall, F1-score, and AUC-ROC score. Results: The study demonstrated the potential of neural networks in detecting MGA, achieving an F1-score of 0.75. However, the relatively low AUC-ROC score (0.58) highlights the need for addressing dataset limitations. Conclusion: This study contributes to the growing body of literature on MGA, emphasizing the importance of considering regional nuances and addressing dataset limitations. The findings suggest promising avenues for future research, including dataset expansion, advanced neural architectures, and region-specific mobile applications.
Keywords: neural networks, neural network architectures, autoencoder, digital addiction, gaming addiction, digital technologies, machine learning, artificial intelligence, mobile game addiction, gaming disorder
For neural network algorithms to work successfully when processing 3D point clouds, it is necessary to provide a detailed point cloud of the external environment. A similar task arises when a manipulative robot is operating in a new environment, where before processing a cloud of scene points, it is necessary to obtain a detailed representation of the external environment using an RGB-D camera mounted on the end link of the robot. To solve this problem, this study proposes an algorithm for adaptive control of a manipulative robot to build a model of the external environment. By applying an adaptive approach, during the research of the external environment, the manipulative robot moves the RGB-D camera, taking into account the changes in the current environment model introduced by the previous RGB-D image. The results obtained allow us to judge the effectiveness of the proposed approach, showing that due to adaptability, it allows us to achieve high scene coverage rates.
Keywords: environment model, manipulative robot, adaptive control algorithm, surface reconstruction, RGB-D camera, visual information processing, TSDF volume
A non-stationary system of automatic speed control of a DC motor with an adaptive controller is considered. Comparative simulation modeling in Simulink of the system with and without an adapter is performed. The results of the modeling confirm the stability of the adaptive system in a larger range of change of the non-stationary parameter compared to the conventional system. At the same time, the speed and quality of transient processes are maintained at the level recommended for such systems.
Keywords: automatic control system, non-stationarity, adaptive controller, subordinate control system, electromechanical object, DC motor
The article is devoted to the analysis and optimization of the stability of engineering structures to wind loads through the use of innovative structures of support and anchor foundations. In modern construction, when the requirements for reliability and stability of buildings have increased, special attention is being paid to the development of effective foundations capable of withstanding both compressive and pulling loads. Support and anchor foundations are presented as a comprehensive solution, including combined anchors and a monolithic slab (grillwork), ensuring uniform load distribution. The main focus is on the combined anchor, which acts as the main working element that receives the forces from the structure and effectively transfers them to the ground. Unlike traditional piles, the proposed design significantly increases the resistance to pulling due to the use of wire anchors with high load-bearing capacity.
Keywords: pile, conical tip, support and anchor foundation, support, combined anchor, grillage
The method of synthesis of control of a territorially distributed complex technical system with metrological support is presented. The synthesis method is based on the method for identifying the parameters of a stationary semi-Markov model of operation of a complex technical system, developed by the author, based on solving a system of algebraic equations, which includes the linear invariants of the semi-Markov stationary model identified in the article. The results of modeling changes in the parameters of a complex technical system are presented, taking into account the current state of the fleet of complex technical systems with an optimal choice of the interval between checks, rational use of redundancy and stationary maintenance. The obtained results can find application in the decision support system for managing a fleet of complex technical systems. by choosing the optimal interval between checks, using redundancy and carrying out stationary maintenance.
Keywords: park of complex technical systems, control synthesis method, system invariants
The paper presents a simulation of flight control of an unmanned aerial vehicle (UAV). A distributed control system is proposed that sequentially includes internal and external circuits to control the state of motion of the aircraft. The control efficiency of a cascade PD controller (proportional-differential) is higher than that of a traditional PID controller (proportional-integral-differentiating). A new cascade control algorithm with a PD controller is proposed. First, the dynamics of the UAV is modeled based on the Newton-Euler method, then the state of motion of the device is controlled by a distributed control system based on cascaded levels of proportional derivatives of the internal and external contours. The simulation results show that the controller, developed on the basis of proportional-derivative control speed of internal and external circuits, is able to achieve fast tracking of the position and orientation of the UAV in case of external disturbances and has good control quality. The developed algorithm has increased the control efficiency by 5-7% compared to the traditional PID algorithm.
Keywords: Unmanned Aerial Vehicle, PID controller, Cascade PD controller, Algorithm Optimization, UAV Control Algorithm
The authors of this article raise the issue of the correct selection of internal material for sandwich panels. The use of these structures is widespread in the construction of industrial facilities, so it is important to consider all the parameters of possible options for the optimal choice. The authors define the objectives of the article as the creation of an auxiliary comparative table with the parameters of the most popular thermal insulation materials for sandwich panels based on regulatory and theoretical information, as well as the formulation of recommendations for the use of a certain material depending on the specified conditions. Particular attention in the study is paid to such properties of materials as moisture resistance, flammability, durability, density and thermal insulation. It is also important to note that the article touches upon the cost issue, namely, market prices for sandwich panels are compared with the considered insulation materials of some suppliers.
Keywords: thermal insulation materials, sandwich panels, properties of materials, analysis of properties, moisture resistance of structures, density
The article is devoted to the analysis and optimization of the stability of engineering structures to wind loads through the use of innovative structures of support and anchor foundations. In modern construction, when the requirements for reliability and stability of buildings have increased, special attention is being paid to the development of effective foundations capable of withstanding both compressive and pulling loads. Support and anchor foundations are presented as a comprehensive solution, including combined anchors and a monolithic slab (grillwork), ensuring uniform load distribution. The main focus is on the combined anchor, which acts as the main working element that receives the forces from the structure and effectively transfers them to the ground. Unlike traditional piles, the proposed design significantly increases the resistance to pulling due to the use of wire anchors with high load-bearing capacity.
Keywords: pile, conical tip, support and anchor foundation, support, combined anchor, grillage
The issue of developing a prototype for an unmanned aerial vehicle (UAV) and creating a control system based on a computer-aided design (CAD) model as part of a project for inspecting construction sites is under consideration. Special attention has been paid to constructing a computer model of a quadcopter. Based on existing methods, energy calculations have been performed and a process for synthesizing controllers in orientation and positioning control circuits has been proposed, considering the sampling rate of the sensors utilized. The outcomes obtained through modeling confirm the suggested algorithm for adjusting controllers. The solution can be utilized by students and professionals in the development of autonomous UAVs or their computer models.
Keywords: quadcopter, computer modeling, PD controller synthesis, UAV design, stereo camera, room inspection
The article presents the results of the development of an algorithm and a desktop application for recognizing Russian-language handwritten text in images using computer vision and deep learning technologies. Classical and modern recognition methods have been studied and an algorithm has been developed and implemented that ensures 71% recognition accuracy. The application allows the user to upload images receive digitized text and save the results in his personal account. The software implementation includes a training block for the model with an assessment of accuracy and completeness metrics. The application meets all the set requirements providing ease of use and functionality.
Keywords: deep learning, handwritten text, image, data, model training, computer vision, feature extraction, CTC, RNN, CNN, CRNN
A project is a single system, an interconnected network of elements: participants, resources, processes, and goals. This relationship is critically important for successful implementation by the technical customer service. Processes that are clearly defined and managed ensure consistency and efficiency. Therefore, project design and management requires a systematic approach that takes into account all relationships and strives to optimize each element to achieve a common goal. A system approach is a method that considers a problem or task in terms of its interrelationships and interactions of all elements of the system. In the context of a technical customer service, this approach can be particularly useful for project management, process optimization, and work efficiency improvement.
Keywords: construction project, technical customer, planning, technologies, risks, system approach, project management, documentation of processes, construction site, system
The purpose of developing the model and algorithms is to improve the management of public training in the field of public protection and civil defense of the Republic of Tajikistan as an integrated system that combines a set of interconnected elements that form its emergence and are determined by a set of functional properties, hierarchy and multiplicity of descriptions, as a complex organizational system [1]. The research uses methods of analysis and systematization. In particular, John Cotter's model of change is used, which allows structuring the process of managing the training of the population at different levels. Algorithms have been developed that take into account different social groups and their specific needs. This makes public education programs more adaptable and accessible to everyone. The obtained training algorithms can serve as a basis for improving public training management in the field of public protection and civil defense by integrating them into functional and infological models. The mathematical model of assessing the readiness of the population makes it possible to identify weaknesses in the training of the population and develop specific measures to eliminate them. The developed training management model and algorithms contribute to the formation of a structured system focused on the real needs of citizens. This includes their active participation in ensuring security, which, in turn, contributes to the creation of a more secure and secure environment in the country. The results of the study can be the basis for further development of the civil defense system in Tajikistan and improvement of training in the field of public protection and civil defense in emergency situations.
Keywords: civil defense, public training system, public training model, public training management, Republic of Tajikistan
The article considers the issues of imitation modeling of fibrous material mixing processes using Markov processes. The correct combination and redistribution of components in a two-component mixture significantly affects their physical properties, and the developed model makes it possible to optimize this process. The authors propose an algorithm for modeling transitions between mixture states based on Markov processes.
Keywords: modeling, imitation, mixture, mixing, fibrous materials
The number of information security incidents and the amount of damage caused by them are increasing every year. The relevance of information security incident response remains high. The primary response action is an information security incident localization. The purpose of this study is to reduce the time taken to localize detected information security incidents by information security incident response teams. The purpose is achieved by issuing and using a mandate for information security incident localization by orchestration tools and/or artificial intelligence systems in an automated mode. Analysis and synthesis of available publicly materials were applied as research methods. The results of the analysis and evaluation of different criteria applicability for granting a mandate to localize an information security incident in an incident response are presented in the article. A mandate is granted to orchestration tools and/or artificial intelligence systems to perform localization of an information security incident in an automatic mode, i.e., without the involvement of information security incident response team forces. In evaluation the applicability of various criteria for granting a mandate, unlike the known ones, the level of difficulty in determining values for the criteria in question by information security incident response team forces alone was assessed. Criteria and their values are defined, which, unlike the known ones, highlight the area for information security incidents localization in automatic mode.
Keywords: response team, response area, response, automatic localization, orchestration, artificial intelligence