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  • Features of the space-planning organization of a residential building of the bulgarian renaissace (1762-1878)

    The new socio-economic and political conditions of the North Bulgarian Renaissance (1762-1878) determined the way of life, the nature of relationships in society, and its material environment. The object of their influence was primarily residential development, which revealed a variety of architectural forms. Their volumetric and planning features are determined by new ideological and artistic views. At the same time, unity is revealed in architectural diversity, predetermined by local natural and climatic conditions, sustainable construction technologies, and the revival of ancient spiritual and historical and cultural traditions. This article analyzes the development of techniques for the architectural organization of a residential building in the context of settlement and chronology.

    Keywords: Bulgarian Renaissance, natural conditions, socio-economic factors, historical background, natural landscape, space-planning schemes, residential architecture

  • Mechanisms for adapting the development of development strategies for a modern mining enterprise

    The factors of sustainable development of a modern mining enterprise are considered. The main operating factors of the external and internal environment of the enterprise are determined. The basic conceptual provisions underlying the formation of an effective, modern, strategic platform for the formation of strategies for the development of a mining enterprise are considered. The possibilities of applying a particular strategy for the development of a mining enterprise are analyzed, depending on the combination of phases of rise or decline in the level of impact of factors of the external and internal environment of the enterprise. The algorithm developed by the authors of this work for choosing the optimal model of enterprise development is proposed, taking into account the phases of the impact of external and internal environmental factors and the development strategy of a modern mining enterprise chosen in accordance with them. Recommendations on choosing the optimal strategy for the development of a mining enterprise and building a development model based on it are proposed.

    Keywords: mining enterprise, economics, risk management, innovative development, development strategy, ecology, social policy

  • Identifying the role of 'Shadow Tower' in the Capitol ensemble of Chandigarh as a model for shaping architecture in hot climates

    This paper deals with the aspects of the ideological content of the architectural and engineering thought of the Shadow Tower Pavilion in Chandigarh, a structure without a definite function. A brief historical background is collected. Examples of similar constructions "without function" are given, principles and purposes of formation of architectural volumes of selected analogs are described. The influence of such structures from the point of view of ideology on the formation of architecture in a hot climate is considered. The significance of small architectural volumes in the context of large ensembles is emphasized.

    Keywords: "Tower of Shadows", Capitol, Chandigarh, hot climate, Le Corbusier's "sunbreakers", natural sun protection, natural ventilation, design, artistic effect, climatic grid, functional conditions

  • A neural network model for the identification of pollen grains in a honey micropreparation

    This paper considers the development and training of a neural network model for the identification of the species and quantitative composition of pollen, which will subsequently be used to determine the botanical origin of honey and quantitative calculations of pollen grains contained in a certain mass of honey. The main purpose of the study is to create a model that can effectively distinguish the morphology of pollen grains present in honey, determine their quantitative and qualitative composition, which will improve product quality control, as well as identify its botanical and geographical origin. For this purpose, similar works on pollen classification were analyzed. Pwtorch was chosen as the framework for creating a neural network model, which provides the possibility of detailed configuration of the model. The result of the work is a trained model capable of classifying pollen grains.

    Keywords: neural networks, classification task, pollen classification, convolutional neural networks, PyTorch

  • Vulnerabilities and methods of protection of the ROS operating system when implementing a multi-agent system based on the Turtlebot3 robot

    The problem of vulnerabilities in the Robot Operating System (ROS) operating system when implementing a multi-agent system based on the Turtlebot3 robot is considered. ROS provides powerful tools for communication and data exchange between various components of the system. However, when exchanging data between Turtlebot3 robots, vulnerabilities may arise that can be used by attackers for unauthorized access or attacks on the system. One of the possible vulnerabilities is the interception and substitution of data between robots. An attacker can intercept the data, change it and resend it, which can lead to unpredictable consequences. Another possible vulnerability is unauthorized access to the commands and control of Turtlebot3 robots, which can lead to loss of control over the system. To solve these vulnerabilities, methods of protection against possible security threats arising during the operation of these systems have been developed and presented.

    Keywords: Robotic operating system (ROS), multi-agent system, system packages, encryption, SSL, TLS, authentication and authorization system, communication channel, access restriction, threat analysis, Turtlebot3

  • Methods and means of forming and evaluating the competencies of specialists in the field of information security based on a multifunctional software and hardware complex

    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

  • Feasibility study of the choice between active and passive methods of noise and vibration suppression in liquid filling shops

    Occupational safety is one of the important aspects of the organization of work in production. Domestic machines and units used in the food industry do not yet allow to exclude the impact of harmful and dangerous production factors, to make the work of employees safe. In this context, it is important to study active and passive methods of noise and vibration suppression, their effectiveness in ensuring normalized working conditions of workers on the example of a specific production. Existing research, as a rule, focuses on one criterion when choosing protection methods. However, an integrated approach is advisable in solving this problem. The purpose of this study was to choose a rational method of protecting personnel from the effects of noise and vibration based on the economic justification of effective technical solutions. The obtained research results make it possible to take into account the criteria for evaluating the validity and acceptability of choosing a particular protection method, including from the standpoint of technical and economic calculation, when designing a security system. The above study showed the expediency of import substitution in the food and beverage industry, as well as the correlation between the introduced protection systems and an increase in the level of safety. The given algorithm of the feasibility study has the properties of scale and generality. It can be successfully implemented when choosing methods of protection from the effects of other harmful production factors found in various industries.

    Keywords: acoustic factor, protection methods, active and passive methods, economic justification, sound pressure levels, experimental data

  • An algorithm for tracking human movements in a video stream based on the color group matching method

    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

  • Support for decision making when choosing a project for autonomous power generation for small industrial enterprises

    The work is devoted to the problem of providing electrical energy to remote production enterprises in the absence of a centralized power supply. The purpose of the work is to develop decision support tools for choosing autonomous power generation projects from a large number of possible alternatives. To achieve this purpose, a hierarchy of criteria was constructed and a comparative analysis of existing technical and economic solutions in the field of small-scale autonomous energy was carried out. It is shown that when choosing a power generation project for a particular enterprise, there is a fairly large number of alternatives, which makes the use of commonly used decision support procedures based on the hierarchy analysis method/analytical network method (in the classical version) ineffective. An iterative procedure with dynamic changes in feedback between criteria and alternatives is proposed, which makes it possible to reduce the dimension of the supermatrix during the calculation process and, thereby, reduce the time complexity of the algorithms. The effectiveness of the proposed modification of the analytical network method is confirmed by calculations. The constructed procedure for selecting an autonomous power generation project makes it possible to increase the level of scientific validity of technical and economic decisions when expanding the production activities of small enterprises in remote and sparsely populated areas.

    Keywords: autonomous power system, decision support, analytical network method

  • Prediction of gas concentrations based on a recurrent neural network

    The article discusses the use of a recurrent neural network in the problem of forecasting pollutants in the air based on actual data in the form of a time series. A description of the network architecture, the training method used, and the method for generating training and testing data is provided. During training, a data set consisting of 126 measurements of various components was used. As a result, the quality of the conclusions of the resulting model was assessed and the averaged coefficients of the MSE metric were calculated.

    Keywords: air pollution, forecasting, neural networks, machine learning, recurrent network, time series analysis

  • Automatic recognition of license plates in a VANET

    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

  • Usage of the technology of rostver foundation on reinforced concrete piles in the construction of a multi-level car park

    In the conditions of dense urban development, the lack of parking spaces becomes a serious problem that requires a comprehensive approach to solve. It is the construction of new multi-level car parks that makes it possible to increase the number of parking spaces in a limited space. The foundation plays a critical role in the construction of multi-level car parks, as it must ensure the stability and safety of the entire structure. There are many aspects to consider when designing and constructing the foundation that help ensure the reliability and durability of the multi-level car park, which is especially important to prevent potential problems and accidents in the future. The article discusses in detail the technology of laying a pile-based foundation for the construction of a multi-storey car park located in Moscow.

    Keywords: multi-level car park, rostver foundation, geodetic control, reinforced concrete beams, excavation pit

  • Determining the degree of masking of a ball mill based on measuring the vibration acceleration of the drum surface

    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

  • Numerical study of the influence of profile height on the characteristics of a heat exchanger with corrugated fins

    Using numerical modeling, a study of heat transfer and hydrodynamics in plate heat exchangers with corrugated fins was carried out, while the height of the corrugation profile varied from 2 to 4 mm. The influence of profile height on heat flow and pressure drop was studied. It was revealed that an increase in the profile height leads to an increase in heat flow up to 34.05% and pressure drop up to 54.54%.

    Keywords: corrugated heat exchanger, cooling system, microelectronics, profile height, heat flow, pressure drop, heat transfer, hydrodynamics, calculation, numerical modeling

  • The ESC architectural pattern as a way to implement an object-oriented approach in programming

    A programming method based on the ESC pattern is presented. The relevance of the work is due to the fact that the object-oriented approach is one of the most popular and sought-after ways to develop an information product due to a huge regularly updated selection of various methods, templates and ways of its implementation. The most significant of them is Entity System Component (ESC). This method of implementing OOP allows you to make the software product flexible and extensible. The ESC pattern is based on the reactive programming method and divides the entire code architecture into three components: entity, system, component. The tool package that implements the ESC pattern is the ESC DOTS package, designed for the Unity3D environment. The built-in Jobs System package provides the ability to work with multi-threaded programming in Unity. This package distributes threads created at runtime into groups of a certain type, which have a strictly limited execution time. Thus, the task of enumerating an array of several hundred elements goes into a Temp type thread, which runs for one frame in Unity, and the enumeration of a million polygons of the Unity landscape is placed in a Persistent type thread, which has an unlimited time limit.

    Keywords: object-oriented programming, Unity framework, ESC pattern, multi-threaded programming, reactive programming, extensible architecture, package manager