A comparative analysis of the lighting conditions of school premises was carried out based on design solutions for lighting devices from three Russian lamp manufacturers. All projects were carried out using lighting devices based on recommendations to manufacturers to use their range of lamps to illuminate various school premises. The design was carried out using the DIALux program. Each of the three manufacturers is widely known to specialists and has established itself as a reliable manufacturer of domestic lighting products, ready to offer a full range of lamps for various school premises. A technical and economic comparison of the total present costs for all lighting installations (using the example of one entire school) made it possible to conduct a comparative analysis and determine the most profitable options. An analysis of the current state of the Russian market of lighting devices recommended by manufacturers for classroom lighting has been carried out, their characteristics have been reviewed, and their compliance with current energy efficiency requirements has been assessed. Conclusions and forecasts have been made for the further development of lighting equipment with LEDs for lighting classrooms, based on the need to constantly improve the modern range of lighting devices in terms of their energy efficiency and competitiveness.

Keywords: technical and economic comparison, levelized cost method, comparative analysis, school lighting, lighting device, lighting modeling, energy efficiency

The article discusses the planning and commissioning of an autonomous field located on permafrost. Most of the oil and gas fields are located in permafrost areas. The development of such deposits is costly, as it creates the need to prevent the thawing of permafrost. Commissioning works are the final stage of construction and installation works. The CW is difficult in conditions of permafrost. In permafrost conditions, problems may arise with starting the installed equipment.

Keywords: commissioning, permafrost, field, installation, drilling, oil industry, oil and gas industry, project, freezing, maintenance

This article examines the security of currently popular corporate instant messaging applications (messengers). A comparative analysis of the security of some solutions for corporate use has been carried out. The main result of the review is the conclusions about the advantages and disadvantages of the considered systems, which can be used by organizations to choose the appropriate solution.

Keywords: Information security, corporate messenger, messaging, internal communications, instant messaging systems, end-to-end encryption

Recent trends in the architecture of public buildings and structures are aimed at innovation and sustainable development, driven by the needs of the environment and society. The design, which takes into account the challenges of the pandemic, includes improved ventilation, contactless technologies and adaptable layout to create safer spaces. Digital twin technology provides real-time monitoring and optimization of building systems, paving the way for a more ergonomic infrastructure. Mass-scale wooden construction represents an ecological, aesthetic and low-carbon alternative to traditional materials. Zero-energy buildings integrate renewable energy sources and efficient systems to balance energy consumption and production. 3D printing in construction allows you to quickly create prototypes and complex projects, expanding architectural possibilities. Green and blue infrastructure combines natural elements, storm water management and urban environment cooling. Together, these trends contribute to the creation of more advanced and adaptable public buildings, reducing environmental impacts and improving energy efficiency. The combination of these achievements leads to the creation of innovative combined architectural solutions that contribute to the creation of a healthier and more harmonious urban environment.

Keywords: public buildings, 3D printing in construction, additive manufacturing, sustainable architecture, energy conservation, energy efficiency, environmental friendliness, green architecture, eco-friendly design, zero-consumption buildings

Digital holographic microscopy (DHM), is a combination of digital holography and microscopy. It is capable of tracking transparent objects, such as organelles of living cells, without the use of fluorescent markers. The main problem of DHM is to increase an image spatial resolution while maintaining a wide field of view. The main approaches to solving this problem are: increasing of the numerical aperture of lighting and recording systems, as well as using deep learning methods. Increasing the numerical aperture of lighting systems is achieved by using oblique, structured or speckle illumination. For recording systems it is achieved by using hologram extrapolation, synthesis or super-resolution. Deep learning is usually used in conjunction with other methods to shorten the compute time. This article is dedicated to describe the basic principles and features of the above approaches.

Keywords: digital holographic microscopy, spatial resolution, field of view, numerical aperture, sample, light beam, CCD camera, diffraction, imaging system, super-resolution

Image super-resolution is a popular task that aims to translate images from low resolution to high resolution. For this task, convolutional networks are often used. Convolutional neural networks, have a great advantage in image processing. But despite this, often information can be lost during processing and increasing the depth and width of the network can make further work difficult. To solve this problem, data transformation into frequency domain is used. In this paper, the image is divided into high frequency and low frequency regions, where higher priority is given to the former. Then with the help of quality check, and visual evaluation, the method is analyzed and the conclusion regarding the performance of the algorithm is drawn.trial enterprise.

Keywords: super-resolution (SR), low-resolution (LR), high-resolution (HR), discrete-cosine transform, convolution-neural networks

The article describes the prerequisites for creating an electronic notification system for students in an educational institution. A use case diagram is provided that describes interaction with the system from the point of view of the user-employee of the educational department and the user-student. A diagram of the physical database model is presented and a description of the purpose of the tables is given. The system uses two types of client applications: an administrative client for organizing the work of educational department employees and a Telegram bot for working on the students’ side. A scheme for working with user data when processing chatbot commands is defined in the IDEF0 notation. The choice of the interlocutor program as a communication tool was made based on the popularity of this technology. The administrative client is implemented in C# using Windows Forms technology, the chatbot is implemented in Python using the “schedule” time planning library, “time” working with time and “threading” multi-threading support.

Keywords: chat bot, Telegram bot, messenger, message, mobile device, information system, database, computer program, application

The paper is dedicated to the modeling of opportunistic behavior in electroenergetics. We considered two setups: an optimal control problem from the point of view of a separate agent and a Stackelberg game of the controller with several agents. It is assumed that the agents may collude with the controller and to diminish the data about electroenergy consumption proportionaaly to the amount of bribe. The principal attention is paid to the numerical investigation of these problems basing on the method of qualitatively representative scenarios in simulation modeling. It is shown that using of a small number of the correctly chosen scenarios provides an acceptable qualitative precision of the forecast of systems dynamics. The numerical results are analyzed, and the recommendations on the struggle with corruption are formulated. An increase of the penalty coefficient in the case of catching of the controller taking "kickbacks" or an increase of her official reward makes the kickbacks not profitable.

Keywords: opportunistic behavior, optimal control problem, simulation modeling, Stackelberg games

The paper proposes a solution to geological problems using probabilistic and statistical methods. It presents the results of using spectral correlation data analysis, which involves the processing of digital geoinformation organized into three-dimensional regular networks. The possibilities of applying methods of statistical, spectral, and correlation analysis, as well as linear optimal filtering, anomaly detection, classification, and pattern recognition, are explored. Spectral correlation and statistical analysis of geodata were conducted, including the calculation of Fourier spectra, various correlation functions, and gradient characteristics of geofields.

Keywords: interprofile correlation, self-adjusting filtering, weak signal detection, geological zoning and mapping, spatially distributed information

The article is devoted to the design of a test automation system for the DBaaS Postgres Pro cloud database management manager. New approaches, concepts and definitions of the theory of test automation are formulated and old ones are updated. An analysis of modern tools widely used in commercial software development is carried out. The features of the system under test were studied, including the specifics of working with cloud computing and the Postgres DBMS. Based on the data obtained, an optimal technology stack was formed that is planned to be used in development, and functional requirements for the test automation system were developed. In practical terms, the use of this system on a DBaaS project will reduce labor intensity and speed up work at the testing and development stages, increase the efficiency of testing and the quality of the software product.

Keywords: software testing automation, DBaaS, cloud database, Postgres DBMS, GO programming language

The article discusses the development of data normalization and standardization tools using Python libraries. A description of the theoretical foundations and formulas used to normalize and standardize data is considered. For internal calculations of the developed software, the Pandas and NumPy libraries were used. The external interface was built on the basis of the Streamlit library, which allows you to deploy web applications without any additional resources. Code fragments are provided and implementation mechanisms are explained. A description of the developed tool is provided: a detailed explanation of the functionality of the tool, user interface and examples of use. The importance of data preprocessing, selection of an appropriate method, and final remarks on the usefulness of interactive data processing tools are discussed.

Keywords: data processing, statistics, information systems, Python web systems.

During the production of delicatessen canned fish, the control system should ensure a gentle heat treatment regime with a decrease in the degree of temperature exposure to the product. Changing the modes requires reconfiguration of the type and parameters of temperature regulators in the autoclave, carried out based on the results of processing modeling. The software complex for modeling the object and control system during pasteurization provides for calculating the degree of sterilizing effect. The complex contains system and application softwares. The application modules implement the functions of a graphical interface, a virtual controller, numerical simulation of product temperature changes and data transmission. The virtual controller allows select controllers: positional, proportional-integral-differential, and states. The novelty of the model lies in the display and the possibility of changing both the parameters of the regulator and the coefficients of the desired polynomial, taking into account the sign of the derivative of temperature during heating and cooling. The practical value of the work is to reduce the time for reconfiguring the autoclave control system, ensuring a reduction in the degree of temperature exposure when a given sterilizing effect is achieved by selecting the type and parameters of temperature control rules.

Keywords: software complex, modeling, control system, pasteurization, canned fish, regulator, temperature

This article is devoted to the development of a collision detection technique using a polygonal mesh and neural networks. Collisions are an important aspect of realistically simulating physical interactions. Traditional collision detection methods have certain limitations related to computational accuracy and computational complexity. A new approach based on the use of neural networks for collision detection with polygonal meshes is proposed. Neural networks have shown excellent results in various computer vision and image processing tasks, and in this context they can be effectively applied to polygon pattern analysis and collision detection. The main idea of ​​the technique is to train a neural network on a large data set containing information about the geometry of objects and their movement for automatic collision detection. To train the network, it is necessary to create a special module responsible for storing and preparing the dataset. This module will provide collection, structuring and storage of data about polygonal models, their movements and collisions. The work includes the development and testing of a neural network training algorithm on the created dataset, as well as assessing the quality of network predictions in a controlled environment with various collision conditions.

Keywords: modeling, collision detection techniques using polygonal meshes and neural networks, dataset, assessing the quality of network predictions

The article discusses the concept of software implementation of complex tools on the platform "1C:Enterprise" for automating the accounting of the activities of shelters for homeless animals. The architecture of the solution is described, highlighting aspects of the functioning of the system’s integration modules with the social network “VKontakte” and the Telegram messenger. Diagrams of the sequence and activity of processes regarding the interaction of citizens with the key functionality of the system are presented.

Keywords: animal shelter, homeless animals, 1C:Enterprise, automation, activity accounting, animals, software package, information system, Telegram bot, integration with VKontakte, pet search

Orthogonal Frequency Division Multiplexing –OFDM) multiplexing technology is quite promising in wireless communication systems. Simultaneous use of multiple subcarriers allows for a relatively high information transfer rate. The use of mathematical models of discrete wavelet transformations instead of the fast Fourier transform (hereinafter FFT), allows you to increase the speed of signal processing by using modular codes of residue classes (hereinafter MKV). At the same time, these codes can be used to increase the noise immunity of systems with OFDM. It is known that block turbo codes (hereinafter referred to as TC) are widely used to combat packets of errors that occur when transmitting signals over a communication channel. The article presents a developed method for constructing modular turbocodes based on a system of residual classes (hereinafter MTKSOC). Obviously, the use of MTCS entails changes in the structure of the system with OFDM. Therefore, the development of a method for constructing a modular turbo code of SOC and a structural model of an interference-resistant system with OFDM using MTXOC is an urgent task. The purpose of the article is to increase the level of noise immunity of systems with OFDM, using wavelet transformations implemented in MKV instead of FFT, through the use of modular turbo code SOC.

Keywords: modular codes of residue classes, residual class system, modular turbo code of residual class system, error correction algorithm, structural model, multiplexing, orthogonal frequency division of channels

One of the most pressing tasks in ensuring data protection in information systems is the classification and ranking of threat sources. All threat sources have varying degrees of danger to information system assets. Ranking allows you to prioritize when designing an information security system and allocate greater resources to prevent the most pressing and significant threats. This article discusses an algorithm for ranking threats based on the hierarchy analysis method.

Keywords: data protection, information technology, hierarchy process analysis, systems analysis, information systems, information security

Currently, Internet of Things technologies are actively used in manufacturing enterprises for remote monitoring and preventive control of technological processes. The article is devoted to the development of an original mathematical model of the process of transmitting information packets and confirmations in the Industrial Internet of Things system, the use of which allows us to assess the probability of duplication of messages sent to the production process control center. To develop the model, the mathematical apparatus of probabilistic graphs was used, which makes it possible to take into account all possible states of the simulated process and the probabilities of transitions from one state to another. The results of computational experiments showed that the use of the developed model makes it possible to justify the choice of the maximum number of retransmissions, in which the probability of message duplication does not exceed the specified permissible values ​​at the current level of bit errors.

Keywords: industrial Internet of things, telemetry data, production process control, message duplication, retransmissions, bit error rate, sensor devices, server, probabilistic graph

The simulation model of Apache HTTP Server as a mass service system is considered, the parameters of the corresponding system and Apache HTTP Server are compared using GPSS World environment. The comparison of the simulation model with a real web server is based on the construction of a test server. using Apache JMeter application, which can be used to simulate high load on the server. Query generation and statistics collection was done by Apache JMeter application. A comparison of both reports was given, differences in characteristics were pointed out, and assumptions about the reasons for the differences were outlined. The model can be applied to establish requirements for Apache HTTP Server in order to optimise its performance.

Keywords: simulation modelling, mass service system, efficiency characteristics, test server, flow of requests, service channels, queue

This paper is devoted to the quantitative assessment of the information security system. The authors propose to build a system that combines components with the properties of dynamism and protection efficiency. The proposed information security system includes two types of antivirus components, three data leakage prevention systems, and four intrusion detection and prevention systems. For clarity, the article provides a theoretical and graphical interpretation of the information security system. Each possible path in the system represents its state. It is shown that adding new components or subsystems leads to an increase in all possible states of the system, complicating the analysis by an intruder. Within the framework of this multi-component approach, each element of the system interacts with others, which helps to achieve the optimal level of efficiency in ensuring information security. In addition, the proposed approach is characterized by scalability, which ensures seamless integration of both individual components and subsystems as a whole.

Keywords: recomposition, information security system, DLP system, IPS/IDS system

The article analyzes the impact of transformation types on the learning quality of neural network classification models, and also suggests a new approach to expanding image sets using reinforcement learning.

Keywords: neural network model, training dataset, data set expansion, image transformation, recognition accuracy, reinforcement learning, image vector

The problem of ensuring the safety of transportation activities is considered. The main components of the safety of transport activities in the context of management decisions are formulated. The causes of transport and environmental risks in relation to the stages of the vehicle life cycle are determined. Based on the analysis of the dynamics of traffic accidents caused by truck drivers, the theoretical dependence of the distribution of the random magnitude of accidents is determined. The influence of environmental factors on the mechanism of ensuring safety in the provision of transport services is considered. A model of the process of searching for an optimal management solution is presented, taking into account a limited number of criteria. It is recommended that the criteria include the probability of security risks depending on the source of the risk. The directions of improving the management decision-making system through the introduction of digitalization tools are formulated.

Keywords: transport process, vehicle, safety, risk, management decision, model of the process of finding the optimal management solution

The creation of systems for operational monitoring of the operating parameters of technical equipment is an important task in a scientific and practical sense, requiring constant improvement of technical and machine algorithms that support constant multi-parameter self-diagnosis of a digital television and radio broadcasting communication object and determination of its integral state for making objective management decisions aimed at maintaining the operability of the entire network . The article discusses issues related to the development of a software package for an intelligent control system for the state of a digital broadcasting object.

Keywords: digital technologies, digital television, import substitution, information infrastructure, intelligent monitoring, remote control, software

The condition of a vehicle sensor system is an effective indicator used by many other vehicle systems. This article is devoted to the problem of choosing a forecasting method for vehicle sensors. Sensor data are considered as multivariate time series. The aim of the study is to determine the best forecasting model for the type of data under consideration. The LSTM neural network-based method and the VARMA statistical method were chosen for the analysis. These methods are preferred because of their ability to process multivariate series with complex relationships, their flexibility, which allows them to be used for series of varying lengths in a wide variety of scenarios, and the high accuracy of their results in numerous applications. The data and plots of computational experiments are provided, enabling the determination of the preferred option for both single-step and multistep forecasting of multivariate time series, based on the values of error metrics and adaptability to rapid changes in data values.

Keywords: forecasting methods, forecast evaluation, LSTM, VARMA, time series, vehicle sensors system