The article discusses issues of improving the quality and safety of pedestrian and vehicle traffic in underground linear structures. The main parameters of traffic safety in tunnel-type transport structures are considered. The scope of application of luminescent and retroreflective materials in the construction and operation of concrete and asphalt concrete pavements has been determined. Recommendations are given for the use of special luminous materials in construction practice.

Keywords: concrete, asphalt concrete, reflective coatings, luminescent materials, traffic safety

Wood as a building material has ancient roots and a long history of use. With the development of technology and the desire to live in better environmental conditions, interest in using wood to construct multi-story buildings is growing. This article is devoted to the prospects for the development of wooden multi-story buildings in Russia, in particular with the use of CLT panels, the popularity of which is growing all over the world. Comparative, statistical and logical analyzes were used as research methods. The article discusses modern methods and technologies for the construction of multi-story wooden buildings, including their advantages in terms of ecology, energy efficiency and design, conducts a comparative analysis of buildings made of reinforced concrete and CLT panels, and proposes a technological scheme for the reconstruction of buildings using CLT panels, including adding additional floors. Challenges and prospects for further development of this technology are highlighted, strategic solutions are proposed to reduce the cost of CLT panels

Keywords: clt-panels, wood construction, wooden structures, reconstruction, renovation, high-rise wooden construction

With the development of scientific and technological progress, the use of modern data forecasting methods is becoming an increasingly necessary and important task in analyzing the economic activity of any enterprise, since business operations can generate a very large amount of data. This article is devoted to the study of methods for forecasting financial and trade indicators using neural networks for enterprises of the Krasnodar Territory. The indicators under consideration are the company's revenue for the reporting period, the number of published (available for sale) goods, as well as the number of ordered goods during the day, week and month. In this study, a multilayer perceptron is considered in detail, which can be used in revenue forecasting tasks using neural networks, and neural network predictive models "MLP 21-8-1", "MLP 21-6-1", and "MLP 20-10-1" are built based on data from the online auto chemistry store Profline-23.

Keywords: automated neural networks, marketplaces, forecasting, neural network models, mathematical models, forecasting methods

The article deals with the problem of education and management of construction waste. The data on the increase in construction volumes and, as a result, an increase in the amount of waste in Russia are presented. The main sources and types of construction waste are analyzed, their classification according to the degree of danger. Traditional and modern methods of waste disposal, such as burial, recycling, incineration, are discussed. The conclusion is made about the need to improve environmental culture in the construction industry and improve waste management legislation.

Keywords: construction waste, construction debris, waste disposal, recycling, environmental culture, waste legislation

With the rapid development of technology and the widespread use of video surveillance, modeling the architecture of neural networks for human recognition in video is attracting increasing attention from researchers. This article presents a study of the use of neural networks (NN) as an interdisciplinary model for classifying objects in video, including solving the problem of face search. This highlights the versatility of neural networks in integrating trained data and accurately classifying objects, which is critical for ensuring security and efficiency of video surveillance. The study uses an analysis of various neural network architectures, as well as a study of their operating algorithms. Data obtained from a literature review and experimental results allow us to evaluate the effectiveness of solving the task of classifying objects in video using various architectures, without tying the study to a specific data set. The study confirms the possibility of using modern neural network architectures for human recognition in real-time video based on the experience of experts in the field of computer vision and machine learning. The active use of neural networks as a tool for video surveillance increases the safety of infrastructure facilities and the efficiency of security services. Ultimately, this article presents an analysis of neural network architectures for facial recognition in video streams, advocating their use as a key element in the development of modern video surveillance systems and ensuring public safety.

Keywords: neural networks, neural network architectures, video surveillance systems, real-time recognition, improving security, social well-being

Stepper motors are often used in automated laser cutting systems. The control circuit of a stepper motor requires a special electronic device - a driver, which receives logical signals as input and changes the current in the motor windings to provide motion parameters. This research study evaluated stepper motor drivers to determine the feasibility of their use - PLDS880, OSM-42RA, OSM-88RA. To control the system, software code was written, which was connected to the controller via a link board. With each driver, in different modes, optimal parameters were selected (initial speed, final speed and acceleration), that is, the movement of the carriage without stalling for ten passes with a minimum travel time. The results of the experiments are presented in the form of tables.

Keywords: laser, laser cutting, automation, technological process, stepper motor, performance, driver, controller, control circuit, optimal parameters

The article analyzes modern approaches and technologies for recycling and recycling of building materials. Such types of waste as reinforced concrete, brick, glass, wood, plastic, etc. are considered. Special attention is paid to innovative methods of processing to obtain secondary raw materials (recycling). It is shown that the most promising technologies are the crushing of concrete, brick and reinforced concrete for reuse in construction, the melting of scrap metal, glass and plastic, the processing of wood waste into slabs and fuel. There is an insufficient level of application of innovative solutions in Russia. A set of measures has been proposed to improve the efficiency of construction waste disposal: the introduction of advanced technologies, the construction of waste recycling plants, the adoption of a targeted state program, and the improvement of environmental culture.

Keywords: waste, construction debris, Russia, secondary raw materials, reuse, environment, recycling, burial, recycling

Bar structures are widespread in construction due to their economy, freedom of design shapes and sizes. As a result, automation of design and calculation of such structures is an urgent task. As part of the study, the task of developing a software module that generates a map of optimal cutting of rolled metal based on the results of calculations of rod structures has been implemented. The algorithm under consideration takes into account such features of the cutting optimization problem as taking into account the width of the blade, the possibility of using half the size of the rolled product, support for optimization of several sections, and welding of parts in case the length of the workpiece is exceeded. The software module is developed using JavaScript and C# languages. The ability to automatically generate cutting maps based on the results of optimization of rod structures increases the efficiency of designing building structures.

Keywords: Design in construction, bar structure, computing system, web development, design in construction, rod structure, computer system, web development, optimal cutting, rolled metal, cutting map

The article discusses standard models of titanium dioxide-based memristors. A memristor is similar to a memory resistor and demonstrates a nonlinear resistance characteristic in which the charge parameter is a state variable. They can be used to create new types of electronic devices with high energy efficiency and performance, as well as to create machines that can learn and adapt to changing environmental conditions and in many practical applications: data storage memory (binary and multilevel), switches in logical electronic circuits, plastic components in neuromorphic artificial systems intelligence based on nanoelectronic components. It has been shown that when voltage is applied to charged ions, they begin to drift, and the boundary between the two regions shifts. When a sinusoidal alternating voltage of a given frequency is applied to the memristor, the shape of the volt-ampere characteristic (VAC) resembles a Lissajous diagram centered at the origin.

Keywords: memristor, model, voltage characteristic, nonlinearity

Technology of jet-grouting is a method of strengthening weak or heavily watered soils by pumping high-pressure cement slurry into the well to break the structure of the soil and simultaneously stirring its particles with cement slurry. The result is a ground-cement mass which has predefined improved strength and deformation characteristics. Technology of jet-grouting has a great potential for development and application in various construction industries, such as buildings, roads, bridges and other structures under various geological conditions. The development of jet-grouting technology won't only expand its application, but can improve competitiveness in the construction services market.

Keywords: recycling, reinforced concrete, secondary crushed stone, construction waste, crushing equipment.

In the context of rapid urbanization of society, modeling the processes of sustainable urban development has attracted considerable attention from scientists. This paper presents a study of fuzzy cognitive maps (FCMs) as an interdisciplinary model for simulating urban development processes. This highlights the versatility of FCM in integrating expertise and quantifying the impact of indicators that shape urban space, from infrastructure and housing to environmental sustainability and community well-being. The study uses a synthesis of an extensive literature review and expert opinions to create and refine a cognitive map tailored for municipal development. The methodology outlined formulates a systematic approach to selecting concepts, assigning weights, and validating the model. Through collaboration with cross-disciplinary experts, the study confirms the value of FCM for identifying cascading effects in the decision-making process when shaping urban development strategies. Recognizing the limitations of expert methods and the fuzzy nature of data, the article argues for the effectiveness of FCM in not only identifying but also addressing emerging urbanization problems. Ultimately, this article contributes a nuanced perspective to strategic planning discourse by advocating for the use of NCC as a management decision support tool that can assist policymakers in achieving a sustainable and equitable urban future.

Keywords: fuzzy cognitive maps, urban development, urban planning, sustainable urbanization, expert systems, social well-being

Stepper motors are often used in automated laser cutting systems. The control circuit of a stepper motor requires a special electronic device - a driver, which receives logical signals as input and changes the current in the motor windings to provide motion parameters. This research study evaluated stepper motor drivers to determine the feasibility of their use - PLDS880, OSM-42RA, OSM-88RA. To control the system, software code was written, which was connected to the controller via a link board. With each driver, in different modes, optimal parameters were selected (initial speed, final speed and acceleration), that is, the movement of the carriage without stalling for ten passes with a minimum travel time. The results of the experiments are presented in the form of tables.

Keywords: laser, laser cutting, automation, technological process, stepper motor, performance, driver, controller, control circuit, optimal parameters

In this paper, we reviewed and analyzed various time series forecasting models using data collected from IoT mobile devices. The main attention is paid to models describing the behavior of traffic in telecommunication systems. Forecasting methods such as exponential smoothing, linear regression, autoregressive integrated moving average (ARIMA), and N-BEATS, which uses fully connected neural network layers to forecast univariate time series, are covered. The article briefly describes the features of each model, examines the process of their training, and conducts a comparative analysis of the quality of training. Based on data analysis, it was noted that for the UDP protocol, the ARIMA model has the best learning quality, for the TCP protocol - linear regression, and for the HTTPS protocol - ARIMA.

Keywords: telecommunication systems, traffic analysis, forecasting models, QoS, artificial intelligence, linear regression, ARIMA, Theta, N-BEATS

The possibility of architectural and spatial organization of a series of urban interiors located along the route of communication between buildings and faculties of university complexes of an “integrated” and “distributed” type is being considered. Requirements for such transit spaces are being formed. Options for a scenario for organizing such spaces are proposed, which is an algorithm for the spatial formation of successive functional zones and the student’s consciousness throughout the process of movement and learning. “Architectural-environmental modules” are proposed as a structural unit, including various equipment options and small architectural forms - as a means of organizing spatial scenarios. A typology of similar modules has been developed for various transit zones and types of urban spaces. This approach allows us to form and support the brand of the university as a unified communication space.

Keywords: university complex, transit urban spaces, scenario approach, functional-thematic zones, architectural and environmental modules.

Water saturation of soils in the area of foundations is accompanied by a deterioration in their bearing capacity and is often detected only with the appearance of the first signs of deformation. Effective monitoring of soil conditions helps reduce escalating damage. For this purpose, a variant of dynamic penetration was developed and applied, which made it possible to establish a fivefold reduction in the resistance of soils to indenter penetration in the water-saturated zone in comparison with their natural state. The approach provides rapid mapping of the state of the soil mass in areas of expected soaking, for example, in the area of backfilling of foundations. The results are applicable for monitoring soil soaking in technogenic conditions and are of interest to a wide range of specialists in the field of construction.

Keywords: flooding, dynamic penetration, monitoring, mapping, water-saturated soil