The paper presents the concept of an intelligent superstructure designed to combine automated vertical storage systems, mobile robots and standard control systems for both warehouse and production processes into a single complex. The proposed mathematical model describes the key aspects of product placement, robot routing, and accounting for equipment throughput. Optimization algorithms allow you to create and quickly adjust storage and relocation plans based on dynamic changes (spikes in demand, disruptions, priority orders). The simulation results confirm that the implemented system helps to reduce time and resource costs, increases throughput and ensures higher adaptability of logistics operations.

Keywords: logistics, warehouse optimization, automated vertical storage systems, mobile robots, collaborative robots, warehouse management system, production process management system, mathematical model, optimization algorithms, intelligent system

The article is devoted to the analysis and optimization of the stability of engineering structures to wind loads through the use of innovative structures of support and anchor foundations. In modern construction, when the requirements for reliability and stability of buildings have increased, special attention is being paid to the development of effective foundations capable of withstanding both compressive and pulling loads. Support and anchor foundations are presented as a comprehensive solution, including combined anchors and a monolithic slab (grillwork), ensuring uniform load distribution. The main focus is on the combined anchor, which acts as the main working element that receives the forces from the structure and effectively transfers them to the ground. Unlike traditional piles, the proposed design significantly increases the resistance to pulling due to the use of wire anchors with high load-bearing capacity.

Keywords: pile, conical tip, support and anchor foundation, support, combined anchor, grillage

he article examines the configuration options for onboard communication equipment. Modeling and evaluation of antenna placement options onboard the unmanned aerial vehicle of helicopter type (UAV HT) are carried out taking into account the influence of design elements and payload on the antenna pattern, summary results of modeling the radiation patterns and analysis of losses due to the influence of design elements of the UAV HT with different antenna placements are presented. The loss budget is calculated for different combinations of ground and onboard equipment taking into account different ranges with a maximum altitude difference. Options for implementing a repeater based on the UAV HT are proposed.

Keywords: control system, unmanned repeater, onboard communication equipment, control channel, receiving and transmitting path

The issue of developing a prototype for an unmanned aerial vehicle (UAV) and creating a control system based on a computer-aided design (CAD) model as part of a project for inspecting construction sites is under consideration. Special attention has been paid to constructing a computer model of a quadcopter. Based on existing methods, energy calculations have been performed and a process for synthesizing controllers in orientation and positioning control circuits has been proposed, considering the sampling rate of the sensors utilized. The outcomes obtained through modeling confirm the suggested algorithm for adjusting controllers. The solution can be utilized by students and professionals in the development of autonomous UAVs or their computer models.

Keywords: quadcopter, computer modeling, PD controller synthesis, UAV design, stereo camera, room inspection

The article examines the Lepeshinsky House in Nalchik as a significant architectural and cultural heritage site. It describes the historical aspects of its construction in the late 19th century, architectural features and artistic elements that make the building unique. The authors emphasize the importance of preserving this monument for future generations and its role in shaping the cultural identity of the region. The article also discusses current problems of the building’s operation and plans for its restoration aimed at restoring its historical appearance and preventing further destruction. Key aspects include the need to protect cultural heritage and draw public attention to the significance of such objects for the history and culture of the people.

Keywords: Lepeshinsky House, Nalchik, architectural heritage, cultural heritage, historical building, restoration, preservation, architectural features, mansion, Kabardino-Balkarian Republic

This article presents a conceptual framework for assessing the maturity of construction control and supervision systems at construction sites. A multi-level assessment model has been developed, integrating the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation method. A five-level taxonomic system for grading the maturity of regulatory mechanisms in the construction industry is proposed. The procedures for forming a hierarchical structure of assessment indicators, constructing judgment matrices, determining weight coefficients, and applying the fuzzy comprehensive evaluation method to quantify the maturity level of supervision systems are described in detail. The developed methodology represents a universal tool for conducting comparative analysis of construction control and state supervision systems in various national and regional jurisdictions based on objective quantified criteria.

Keywords: construction control, state supervision, maturity model, Analytic Hierarchy Process, fuzzy comprehensive evaluation, quantification, assessment indicators

The article presents the results of the development of an algorithm and a desktop application for recognizing Russian-language handwritten text in images using computer vision and deep learning technologies. Classical and modern recognition methods have been studied and an algorithm has been developed and implemented that ensures 71% recognition accuracy. The application allows the user to upload images receive digitized text and save the results in his personal account. The software implementation includes a training block for the model with an assessment of accuracy and completeness metrics. The application meets all the set requirements providing ease of use and functionality.

Keywords: deep learning, handwritten text, image, data, model training, computer vision, feature extraction, CTC, RNN, CNN, CRNN

The article examines the features of dismantled paving slabs as raw materials for the production of recycled aggregate for concrete. The effect of crushed fine fractions of secondary crushed stone screenings on the properties of fine-grained self-compacting concrete was investigated. It was experimentally shown that the use of this material as a mineral additive leads to an increase in the water demand of the self-compacting fine-grained mixture and a significant decrease in strength.

Keywords: demolition waste, vibro-pressed paving slabs, recycling, screening of secondary crushed stone, mineral additive, self-compacting fine-grained concrete, consistency of concrete mix, strength, shrinkage

A project is a single system, an interconnected network of elements: participants, resources, processes, and goals. This relationship is critically important for successful implementation by the technical customer service. Processes that are clearly defined and managed ensure consistency and efficiency. Therefore, project design and management requires a systematic approach that takes into account all relationships and strives to optimize each element to achieve a common goal. A system approach is a method that considers a problem or task in terms of its interrelationships and interactions of all elements of the system. In the context of a technical customer service, this approach can be particularly useful for project management, process optimization, and work efficiency improvement.

Keywords: construction project, technical customer, planning, technologies, risks, system approach, project management, documentation of processes, construction site, system

The purpose of developing the model and algorithms is to improve the management of public training in the field of public protection and civil defense of the Republic of Tajikistan as an integrated system that combines a set of interconnected elements that form its emergence and are determined by a set of functional properties, hierarchy and multiplicity of descriptions, as a complex organizational system [1]. The research uses methods of analysis and systematization. In particular, John Cotter's model of change is used, which allows structuring the process of managing the training of the population at different levels. Algorithms have been developed that take into account different social groups and their specific needs. This makes public education programs more adaptable and accessible to everyone. The obtained training algorithms can serve as a basis for improving public training management in the field of public protection and civil defense by integrating them into functional and infological models. The mathematical model of assessing the readiness of the population makes it possible to identify weaknesses in the training of the population and develop specific measures to eliminate them. The developed training management model and algorithms contribute to the formation of a structured system focused on the real needs of citizens. This includes their active participation in ensuring security, which, in turn, contributes to the creation of a more secure and secure environment in the country. The results of the study can be the basis for further development of the civil defense system in Tajikistan and improvement of training in the field of public protection and civil defense in emergency situations.

Keywords: civil defense, public training system, public training model, public training management, Republic of Tajikistan

The article contains the results of stress analysis in dangerous sections of a single-span steel box beam made of two channels, strengthened with two metal strips welded at the top and bottom between the channels, with different geometric characteristics of the strengthened elements. The results of a numerical experiment of strengthened beams are presented. According to the results of the numerical experiment, it was found that equalization of stresses in dangerous sections allows to reduce the material consumption of the structure in comparison with beams selected according to the assortment for the required moment of resistance.

Keywords: steel beam, load-bearing capacity, stresses, displacements, finite element method, structural strengthening

The article explores the application of a systems approach and machine learning methods to forecast psychoemotional states based on digital activity in social networks. The study addresses the urgent need to assess the psychological impact of increasing user engagement with digital platforms by using quantitative and algorithmic tools instead of subjective expert assessment.
The main objective of the research is to identify patterns in the relationship between time spent on social networks and self-reported indicators of mental well-being, including symptoms related to ADHD, anxiety, self-esteem, and depression.
Data was collected through an anonymous survey administered via the LMS platform of SUAI. The sample included 473 participants, with 75% under the age of 35. Preprocessing steps involved cleaning outliers, imputing missing values, and formatting the data for analysis. Correlation matrices and heatmaps were created, followed by clustering using the k-means method. A stacked meta-model based on logistic regression and Gaussian Naive Bayes with a random forest as the final estimator was used for classification.
The study revealed distinct user groups with varying levels of vulnerability to the influence of social media. The results can be used to develop intelligent systems for monitoring mental health risks and delivering personalized digital recommendations.
The article is relevant to researchers in system analysis and applied machine learning.

Keywords: system analysis, digital activity, social networks, machine learning, clustering, correlation analysis, digital addiction, psycho-emotional state, information mining

The article presents the results of the second stage of a study to assess the load-bearing capacity of a running meter of a centrally loaded wall of various thicknesses, heights and strengths made of masonry. The second stage includes the study of masonry walls with elastic characteristics α = 200, 350, 500, 750 and is a logical continuation of the first stage, in which masonry with elastic characteristics α = 1000, 1200, 1500 was studied.The results of the study make it possible to minimize 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

Modeling natural convection from steel panel radiators presents a significant scientific and technical challenge. When heating the radiator's vertical surface, a boundary layer of warm air forms and ascends along the wall. Flow remains typically laminar in the lower section, but as the boundary layer develops, it becomes unstable and transitions to turbulence. Beyond temperature head, transition conditions depend critically on heater geometry. Height, panel count, and vertical finning elements directly impact convective flow formation, where optimized geometry promotes early laminar-turbulent transition and intensified convection. While heat transfer is conventionally evaluated through dimensionless correlations (with Grashof numbers near 10⁹ serving as critical transition thresholds for vertical surfaces, corresponding to ~70°C temperature head at 0.5–1 m height), real-world radiator operation maintains laminar flow in lower zones with upper-height transition to turbulence – a process indeterminable via correlation methods. This study proposes a CFD simulation methodology calibrated against laboratory tests conducted per GOST R 53583-2009, enhancing computational result reliability. The calibrated numerical model ensures high-precision prediction of integral heat emission characteristics. CFD implementation enables preliminary radiator behavior analysis without physical prototyping through parametric variation of geometry and thermal properties. The model is readily parameterized by panel dimensions, finning configuration, and material/medium properties, ensuring computational repeatability across configurations. The proposed calibration method (achieved by imposing experimentally measured heat flux values per GOST R 53583-2009) enhances accuracy in predicting radiator's integral performance metrics and improves model-experiment alignment. This approach guarantees computational reproducibility and flexibility in simulating diverse designs (panel sizes, fin arrangements, materials). Validation challenges persist: Absence of experimental temperature/velocity fields complicates mesh sensitivity analysis, while single-dataset calibration risks model overfitting. Nevertheless, this methodology proves strategically valuable for transitioning toward digital certification of heating devices, as it substitutes physical testing with numerically derived integral parameters of comparable accuracy.

Keywords: heating devices, natural convection, free air flow, heat transfer efficiency, laminar-turbulent transition

The article considers the issues of imitation modeling of fibrous material mixing processes using Markov processes. The correct combination and redistribution of components in a two-component mixture significantly affects their physical properties, and the developed model makes it possible to optimize this process. The authors propose an algorithm for modeling transitions between mixture states based on Markov processes.

Keywords: modeling, imitation, mixture, mixing, fibrous materials