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

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

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

Modernization of university campuses in the context of the development of domestic higher education and science to increase the technological sovereignty of the country is one of the pressing problems of modern domestic architecture. The article examines the features of the modern scientific and educational process in higher education and, on their basis, defines the architectural aspects of modernization of existing university campuses.

Keywords: modernization, university campus, modern educational process, university campus model

The article describes the methodology for developing a client-server application intended for constructing a virtual museum. The creation of the server part of the application with the functions of processing and executing requests from the client part, as well as the creation of a database and interaction with it, is discussed in detail. The client part is developed using the Angular framework and the TypeScript language; the three-dimensional implementation is based on the three.js library, which is an add-on to WebGL technology. The server part is developed on the ASP.NET Core platform in C#. The database schema is based on a Code-First approach using Entity Framework Core. Microsoft SQL Server is used as the database management system.

Keywords: client-server application, virtual tour designer, virtual museum, three.js library, framework, Angular, ASP.NET Core, Entity Framework Core, Code-First, WebGL

The article presents the results of a study aimed at forming tables for a preliminary assessment of the load-bearing capacity of a running meter of a centrally loaded wall of various thicknesses, heights and strengths made of masonry with elastic characteristics α = 1000, 1200, 1500.The results of calculating 540 different variations of a centrally loaded stone element with different types of stone and mortar material are analyzed. The results of the study make it possible to exclude the use of a software package for preliminary determination of the bearing capacity of a centrally loaded stone structure and can become part of a practical guide for engineers involved in the technical inspection and design of masonry structures.

Keywords: bearing capacity, wall, stone structure, elastic characteristic of masonry, centrally loaded element, stone, brick, block, masonry mortar, coefficient of longitudinal bending, flexibility

The development of methods for calculating structures made of ultra high-performance steel fiber-reinforced concrete (UHPC) in terms of strength and deformations is an important step towards the introduction of this innovative material into the practice of design and construction. This paper presents the results of finite element modeling of the operation of UHPC I-beam in the area of action of shear forces. The SMM model integrated in the OpenSees framework application is used for the walls of beams under conditions of flat stress. The authors have added new classes of materials that implement the averaged deformation laws of UHPC (with and without fiber) and the reinforcement placed in it. The calculations showed good convergence with the authors' own test results of the UHPC I-beams, as well as with the results of experiments by other researchers.

Keywords: shear strength, shear force, ultra high-performance steel fiber-reinforced concrete, I-shaped beams, OpenSees

The purpose of the study is to focus on the need to introduce the concept of a cyber attack as an emergency situation to reduce the number of cyber threats in institutions, organizations and enterprises when using modern information technologies. The study is devoted to the analysis of cyber attacks on people’s life support facilities in the world and in Russia, in particular. Currently, the media in different countries of the modern world are talking about the avalanche growth in the number of cyber-attacks; this makes information security one of the most important issues in the activities of government agencies and production facilities. The problem of information security is studied in detail, taking into account the consequences of cyber attacks on technological systems in all spheres of human activity.

Keywords: cybersecurity, cyber emergency, monitoring, Zero Trust model, cyber insurance

The situation of occurrence, identification and management of risks arising during the construction process is analyzed. Uncertainty of decision-making in construction projects involves the creation of methods that ensure the reliability of decisions and their effectiveness. Such a method was developed in the Russian Project Management Association. The paper provides an example of using this method on a real construction site. An analysis of risks arising during the implementation of a construction project was conducted, a risk map was created for this project and the PERT method was applied when creating a calendar plan.

Keywords: uncertainty, risk event, probability, risk, damage, danger, reliability, risk analysis, investment and construction project, PERT method

Models and a software package have been developed that allow for the analysis of counterparties for the probability of fulfilling government contracts. A comparative analysis of machine learning models has been conducted: logistic regression, decision forest, clustering, and neural network. A software package has been developed that allows for contract forecasting. A computational experiment has been conducted to analyze counterparties taking into account contracts that have been fulfilled or not completed by them. The best model has been established, demonstrating a forecast accuracy of 97.89% by the accuracy metric.

Keywords: mathematical modeling, cybersecurity, intelligent models, financial sector, government contracts, information infrastructure

In the course of the conducted studies, the microhardness of both the base metal and the boundaries of the fusion and deposited protective coating were evaluated. Attention is paid to the factors influencing the microhardness level depending on the height of the protective coating of the sample. To visualize the collected data, diagrams were created illustrating the distribution of microhardness in the source material and the protective layer obtained using supersonic gas-powder surfacing.

Keywords: deposited layer, supersonic gas-powder surfacing, fusion boundaries, microhardness

The paper proposes a two-stage method of training a robot based on demonstrations, combining a diffusion generative model and online additional training using the method of Proximal Policy Optimization. In the offline phase, the diffusion model uses a limited set of expert demonstrations and generates synthetic "pseudo-demonstrations", allowing to expand the variability and coverage of the original dataset. This eliminates the narrow specialization of the strategy and increases its ability to generalize. In the online phase, a robot with a pre-trained strategy adjusts its actions in a real environment (or in a high-precision simulation), which significantly reduces the risks of unsafe actions and reduces the number of necessary interactions. Additionally, parametrically efficient pre-tuning has been introduced, reducing computational costs for online learning, as well as value guidance that focuses the generation of new data on areas of states and actions with high Q scores. Experiments on tasks from the D4RL set (Hopper, Walker2d, HalfCheetah) show that our approach achieves the greatest accumulated reward with lower computational costs compared to alternatives. T-SNE analysis indicates a shift of synthetic data in the area of space with high Q scores, contributing to accelerated learning. The results obtained confirm the prospects of the proposed method for robotic applications, where it is important to combine the limited volume of demonstrations, the safety and effectiveness of the online phase.

Keywords: robot learning from demonstrations, diffusion generative models, reinforcement learning, Proximal Policy Optimization