The article discusses various aspects of the organization of training of specialists in the field of information security on the basis of a cyberpolygon – a multifunctional software and hardware complex. The analysis of the essence of cyberpolygon as a computer learning technology within the framework of the digitalization of education and the formation of students' competencies, for example, digital culture and cyber hygiene, is given. Based on the analysis of the capabilities of the cyberpolygon for the training and retraining of specialists of various profiles, the requirements for the specifics of methods and means of training and assessment of their competencies are formulated. The problems of conceptual design of the educational content of the cyberpolygon, the need for a formalized description of the essence of competencies and their components, fixing cause-and-effect relationships for the scenario design of educational trajectories are discussed. Special attention is paid to the specifics of pedagogical design, the use of active and group approaches to learning, the need for role allocation in solving team tasks. New formal approaches to the conceptual design of the entities of competencies are proposed, taking into account this specificity, methods of automated distribution of participants by roles of educational projects and educational tasks, new conceptual models for assessing competencies based on covering them with suitable competence-oriented tasks. The proposed conceptual models formed the basis of the software architecture of the cyberpolygon information components for the management of educational trajectories and are presented at the level of design artifacts of the logical level of the cyberpolygon management system.

Keywords: cyberpolygon, information security, cyber hygiene, digitalization of education, digital culture, conceptual design, methods of automated distribution, competency assessment models, design artifacts

Among the vast range of tasks that modern advanced video surveillance systems face, the dominant position is occupied by the task of tracing various objects in the video stream, which is one of the fundamental problems in the field of video analytics. Numerous studies have shown that, despite the dynamism of processes in the field of information technology and the introduction of various tools and methods, the task of object maintenance still remains relevant and requires further improvement of previously developed algorithms in order to eliminate some inherent disadvantages of these algorithms, systematization of techniques and methods and the development of new systems and approaches. The presented article describes the process of step-by-step development of an algorithm for tracking human movements in a video stream based on the analysis of color groups. The key stages of this algorithm are: the selection of certain frames when dividing the video stream, the selection of the object under study, which is further subjected to a digital processing procedure, the basis of which is to obtain information about color groups, their average values and percentages of their occupancy relative to the object under study. This information is used for the procedure of searching, detecting and recognizing the selected object with an additional function of predicting the direction of movement on video frames, the result of which is the formation of the entire picture of the movement of the person under study. The materials presented in this paper may be of interest to specialists whose research focuses on issues related to the automated acquisition of certain data in the analysis of various images and videos.

Keywords: surveillance cameras, u2– net neural network, rembg library, pattern recognition, clothing recognition, delta E, tracing, direction prediction, object detection, tracking, mathematical statistics, predicted area, RGB pixels

The paper analyzes various approaches to identifying and recognizing license plates in intelligent transport networks. A deep learning model has been proposed for localizing and recognizing license plates in natural images, which can achieve satisfactory results in terms of recognition accuracy and speed compared to traditional ones. Evaluations of the effectiveness of the deep learning model are provided.

Keywords: VANET, intelligent transport networks, YOLO, city traffic management system, steganography, deep learning, deep learning, information security, convolutional neural network, CNN

The article presents aspects of the development of a device for wirelessly picking up a vibration acceleration signal from the surface of a ball mill drum. The results of measuring vibration acceleration for a ball mill model for various levels of loading with crushed material are presented. According to these results, with an increase in the load of crushed materials relative to the ball, the level of vibration decreases. The work also presents the obtained pie diagrams of the distribution of vibration load across the mill drum, from which one can judge its current operating mode.

Keywords: ball mill, wireless signal, vibration acceleration, mill loading control

In this paper, we investigate the possibility of applying the theory of Monty Hall's paradox in tasks that require the need for an optimal choice of a strategy for developing the innovative potential of an enterprise. The article provides recommendations for taking into account and constructive use of the effects that affect the involved experts, in particular, the Condorcet principle and paradox. The paper explores the limits of applicability of the Monty Hall paradox theory. Its applicability is determined, together with considerations about the profitability of changing the initial choice in problems with the so-called "random intelligence".

Keywords: decision support systems, mathematical modeling, expert evaluation, Monty Hall's paradox, project management, collective assessment, Condorcet's paradox, enterprise management, assessment of enterprise characteristics

The modeling of a multi-motor linear electric drive of a conveyor train is considered. A diagram of the simulation model made in the Simulink program is given. Graphs of the speed and force of the electric drive during the relay transmission of the secondary element are given. The conclusion is formulated that the system fulfills the requirements placed on it.

Keywords: simulation modeling, Simulink, linear asynchronous motor, electric drive, conveyor train, relay transmission

Industrial enterprises place high demands on the quality of demineralized water, the economic feasibility of this process, as well as its environmental friendliness. The water treatment plant begins with pre-treatment, which allows the removal of dissolved suspensions, mechanical impurities and organic substances. Most often, the pre-cleaning process is organized using clarifiers. The type of clarifier used significantly affects both the efficiency of the process and its economic characteristics. The paper presents a comparative characteristic of the operation of vertical cylindrical clarifiers of the Central Research Institute, VTI and high-speed clarifiers with a pulsating column. The main operational characteristics are highlighted, and the cost of clarified water is calculated when using different types of clarifiers.

Keywords: clarifier, pre-cleaning, cleaning quality indicators, thermal power plants

The article presents a way to increase the load-bearing capacity of a reinforced concrete column due to metal clips from the corners with an increase in the load on it. To ensure the joint operation of the existing column and the metal cage, the corners are subjected to prestressing, which is achieved by compressing the corners with jacks.

Keywords: reinforced concrete column, column reinforcement, metal cage, prestressing of the cage

Concrete paving slabs for road construction are made from mixtures consisting of hydraulic binder, fine and coarse aggregates and water. The prepared mixture of a given humidity is subjected to vibration molding under the following technological conditions: process duration 5–10 seconds, vibration frequency 30–50 Hz and pressure 70–80 kg/cm2. Hardening of freshly molded samples is carried out in a heat and humidity treatment chamber. It has been established that it is possible to replace natural coarse aggregate with fractionated scrap concrete. The compressive strength of concrete with aggregate based on recycled crushed stone is 300 - 400 kg/cm2, water absorption 4.8 - 6.2%, frost resistance F2 200 - 300. The proposed technology allows solving both economic and environmental issues for regions with large amounts of concrete scrap at temporary industrial waste storage sites.

Keywords: concrete mixture, vibroforming, modifiers, filler, waste, concrete scrap, strength

This article deals with the problem of analyzing and recognizing human emotions using sound data processing. In view of the increase in the scope of application, which is largely caused by the difficult epidemiological situation in the world, the solution of the described problem is an urgent issue. The main stages are described: the audio data stream is recorded and, in accordance with the “sound fingerprinting” approach, is converted into an image that is a spectrogram of the sound data set. The stages of training a convolutional neural network on a pre-prepared set of sound data are described, and the structure of the algorithm is also described. To validate the neural network, a different set of audio data was selected, not participating in the training. As a result, graphs were constructed demonstrating the accuracy of the proposed method.

Keywords: neural network; human emotion recognition; convolutional neural network; sound fingerprinting; Tenserflow; Keras; Matlab; Deep Network Toolbox

Relevance and goals. The article describes a project in the field of solving the problem of managing organizational systems through the development of a system for remote monitoring and control of spatially distributed objects using LoRa network technology. Materials and methods. The project provides testing and practical use of LoRa networks. The developed system consists of 3 main modules: Devices, server part, and client application. In turn, devices are divided into gateways and end devices. Results. An automated system for managing spatial objects was designed, gateway devices and end devices that form a prototype of the Internet of Things network were developed and tested, as well as the server part of an automated system for remote control of spatially distributed devices. Conclusions. The system was tested and debugged, and a streamlined system for remote monitoring and control of spatially distributed objects was obtained based on the concept of the Internet of Things using LoRa network technology. It is assumed that the results of R&D will be in demand in organizations whose activities involve the use of spatially distributed resources.

Keywords: Internet of things, management of geographically distributed systems, LoRa networks, geosystem approach, spatial data infrastructures

In the article there was considered a possibility of off-grade materials utilization for making fine concrete with a multicomponent complex additive applied. Use of fine sands as raw material for fine concretes is actual for many regions in Russia because of deficiency of sands of necessary fineness modulus. There was considered the issue of utilization of fine sand and stale cement for reducing cost (loss), widening materials’ assortment for low-rise building, and energy- and resource-saving. To achieve the assigned purpose a multicomponent complex additive was applied. The research was carried out in full correspondence with the adopted design of the fractional factorial experiment. The acquired results were subject to a preliminary analysis and processing, and consequently dependences of strength properties upon varying factors were obtained. The obtained dependences made it possible to select optimal ingredients’ proportion of the complex modifying additive in order to increase strength properties of fine concrete based on off-grade materials. It was established that the use of optimal consumption of the complex additive components allows increase strength properties by 25-30% in comparison with the reference composition.

Keywords: fine concrete, fine sand, stale cement, complex additive, fractional factorial experiment, strength

This article presents a new developed calculation methodology, which includes provisions for standard calculations and takes into account the peculiarities of the operation of eccentrically compressed reinforced concrete structures operating at large eccentricities of load application. Adjustments have been made to the calculation methodology to take into account the following factors: the standard methodology uses the maximum tensile strength of reinforcement; proposals have been developed to determine the actual resistance of tensile reinforcement, which, in fact, will be significantly lower than the limit. Proposals are given that take into account the limiting deformations of concrete, which, in turn, will be a key quantity for determining the resistance of tensile reinforcement in the cross section. The article also presents the results of experimental studies of a flexible reinforced concrete pillar operating with a load eccentricity equal to e0 = 0.32h. Theoretical calculations and experimental studies were analyzed and appropriate conclusions were drawn.A formula has been developed to determine the real resistance of the stretched metal reinforcement at the time preceding destruction. The calculation algorithm has been compiled. When comparing theoretical and experimental strength, the difference did not exceed 5%.

Keywords: steel, heavy concrete, reinforced concrete, testing, stand

The drilling and blasting method is currently the most widely used for mining rocks. An indicator of the high–quality drilling and blasting operations is the uniform granulometric composition of the exploded rock mass - the percentage of oversized ore pieces should be minimal. The percentage of oversized and its increase have a significant impact on the technical processes of transporting rock mass, leading to an increase in the costs of loading and transportation operations and secondary crushing of oversized ore masses. The paper describes the results of a study of methods for determining the granulometric composition of drilling and blasting operations using neural networks of segmentation Unet and FPN. Images taken from UAVs are used for analysis. A method of classifying ore by size has also been developed, which ensures the accuracy of the proportion of correct answers of more than 0.91. The expected result of the introduction of the system for automatic determination of the granulometric composition of drilling and blasting operations is the possibility of more accurate control over the quality of their performance.

Keywords: granulometric composition, Unet, FPN, classification, segmentation

In order to negate the loss of strength, that can lead to collapse of constructions, we should take measures to prevent cracking. Every crack emersion in reinforced concrete indicates that the accumulated stress has been released in this area of the structure. The cause of cracks are internal tensile stresses that can occur due to internal processes in the element and from external loads on the structure. It is possible to eliminate cracks that have already appeared with the help of repair compounds that fill the volume of cracks in various ways. Injection, as one of the solutions, will help to maintain the strength and durability of the structure.

Keywords: cracking, concrete, reinforced concrete slab, crack, defect, deformation, strength, soil, repair compound, foundation, foundation slab, injection