The installation of foundations of production facilities on sites subject to karst formation and suffusion processes in conditions of weak soils is a serious problem in the design and construction of large distribution centers. In such a situation, it is necessary to calculate the load-bearing elements of the building for the effect of the lack of reaction of the base under the sole of the foundations on a site with a diameter of 3.0 m, located in the most unfavorable places from the point of view of structural work. Such unfavorable locations of a karst sinkhole can be determined by digitally constructing "influence functions" and obtaining "envelope" diagrams of pressure on the base, foundation sediment, and structural reinforcement. If the maximum allowable precipitation of the foundations obtained by calculation is exceeded, it is possible to strengthen the soils by layer-by-layer recycling, which will allow reaching the normative indicators.

Keywords: karst formation, suffusion, sinkhole, calculated combination of loads, special combination of loads, reinforcement, foundation sedimentation, ground pressure

The article explores the actor model as implemented in the Elixir programming language, which builds upon the principles of the Erlang language. The actor model is an approach to parallel programming where independent entities, called actors, communicate with each other through asynchronous messages. The article details the main concepts of Elixir, such as comparison with a sample, data immutability, types and collections, and mechanisms for working with the actors. Special attention is paid to the practical aspects of creating and managing actors, their interaction and maintenance. This article will be valuable for researchers and developers interested in parallel programming and functional programming languages.

Keywords: actor model, elixir, parallel programming, pattern matching, data immutability, processes, messages, mailbox, state, recursion, asynchrony, distributed systems, functional programming, fault tolerance, scalability

An optimization model has been developed for the minimum required number of employees carrying out transport security measures included in transport security units, taking into account the algorithm for distributing employees, including various groups according to individual functions performed at different security levels, as well as the likelihood of various threats to transport security.

Keywords: transport strategy, digitalization of transport security, cost optimization, transport security units, requirements for ensuring transport security

The cargo turnover of modern distribution centers of network operators reaches hundreds of thousands of tons per year. The technological load on the floors in the warehouse part of the building is 8-10 t/m2 (80-100 kPa), on the floors – up to 2.4 t/m2 (24 kPa). These loads transfer significant pressure through the foundations of the frame to the ground, which, with large sole sizes and mutual influence, increases the lower boundary of the compressible thickness and, as a result, the draft of structures. In the presence of weak soils at the base, precipitation reaches exorbitant values. The situation is aggravated by the high groundwater level, which also increases the sedimentation of foundations. The article presents and analyzes options for solving the problem by strengthening the base by compacting the top layer and cementing it to different depths depending on the pressure and construction of the foundation.

Keywords: reinforcement of the base, recycling, permissible calculated precipitation, calculated soil resistance

This study investigates the applicability of pultruded glass fiber–reinforced polymer composites for structural components in oilfield infrastructure, focusing on their performance under aggressive environmental conditions. The introduction highlights the challenges of corrosion and logistics in traditional steel-based oilfield structures, proposing polymer composites as a viable alternative due to their low weight and high resistance to environmental degradation. The research objectives included evaluating the composites’ resistance to chemical exposure, freeze–thaw cycles, and climatic aging. Experimental methods involved testing density, water absorption, tensile strength, and modulus of elasticity under simulated oilfield conditions, including immersion in 1 wt% NaOH and 10 wt% HCl, frost resistance tests in 5 wt% NaCl, and cyclic temperature–humidity exposure. Results showed that the composites maintained ≥90% tensile strength, ≥85% flexural modulus, and water absorption ≤0.5% after 240 hours of exposure, with no significant degradation observed. Statistical modeling identified serviceability thresholds for specific environmental parameters. The study concludes that pultruded polymer composites are feasible for oilfield infrastructure, offering comparable mechanical performance to steel with reduced operational costs.

Keywords: pultrusion, glass fiber composite, polymer composite, oilfield infrastructure, environmental degradation, mechanical property, chemical immersion, freeze–thaw cycling, climatic aging

The article discusses a mathematical model of the production application distribution process on an aggregator platform. A formal approach based on a finite state machine and Petri nets is proposed to describe the states of orders, their transitions and constraints. A comprehensive model has been developed that takes into account the criteria for selecting a contractor, selecting equipment, and analyzing the production process, taking into account time, cost, and resource availability. The presented approaches ensure accuracy and efficiency in order management on digital production platforms.

Keywords: mathematical modeling, finite state machine, Petri net, digital production, service aggregator, choice of contractor

This paper presents a highly technical implementation of an ECG-based biometric identification system utilizing deep learning models for both verification and closed-set identification. We propose a dual-model architecture comprising a Siamese neural network for one-to-one verification and a deep convolutional neural network (CNN) for one-to-many classification. The methodology includes comprehensive signal preprocessing, data augmentation to simulate physiological variability, and feature extraction tailored to ECG characteristics. Experimental evaluation on benchmark ECG datasets demonstrates the effectiveness of the proposed system. The Siamese network achieves high verification accuracy with low equal error rates, while the CNN classifier attains state-of-the-art identification accuracy (exceeding 98% on average) across enrolled subjects. Key performance metrics—accuracy, precision, recall, and F1-score—indicate robust performance, outperforming several existing biometric methods. The results highlight the viability of ECG-based authentication in real-world applications.

Keywords: biometric authentication, electrocardiogram (ECG), siamese neural network, convolutional neural network, qrs complex, signal processing

The paper describes an automated security system for a mining container: a short circuit protection system for smooth start-up of equipment, temperature control and fire prevention of devices.

Keywords: mining, electrical safety, temperature maintenance, fire prevention, automated system

Analytical dependences have been obtained that make it possible to assess the influence of various factors on the degree of enlargement of microflakes formed in the thickness of the coarse-grained load after the introduction of coagulant. To assess the intensity of the coagulation process, the values of the mixing rate gradient were obtained depending on the filtration rate of coagulated water in a coarse-grained load. Graphs are also provided that establish the dependence of the mixing rate gradient depending on the filtration rate of coagulated water in a coarse-grained load. A scheme of coagulation treatment of natural water using a contact chamber with coarse-grained loading and receiving concentrated coagulation is proposed, which is recommended for intensifying the operation of typical hydraulic mixers of water treatment plants and reducing the required doses of coagulant.

Keywords: contact coagulation, natural water, mixing devices, mixing rate gradient, filtration rate

The methods and approaches to reduce the wear of bearings and blades of electric generators are analyzed to increase the service life of the equipment, improve its reliability and efficiency. An analysis of the factors affecting wear is given, including mechanical, temperature and operational loads. Calculations are performed confirming the effectiveness of using modern materials, improved lubrication systems and optimized process modes. It is shown that the comprehensive implementation of the proposed solutions can significantly reduce the wear rate, reduce maintenance and repair costs, and ensure stable generator performance. The recommendations presented can serve as a basis for upgrading existing equipment and designing new power plants.

Keywords: building structures, metal structures, energy facilities, stress-strain state, technical expertise

The paper proposes an approach to improve the efficiency of machine learning models used in monitoring tasks using metric spaces. To solve this problem, a method is proposed for assessing the quality of monitoring systems based on interval estimates of the response zones to a possible incident. This approach extends the classical metrics for evaluating machine learning models to take into account the specific requirements of monitoring tasks. The calculation of interval boundaries is based on probabilities derived from a classifier trained on historical data to detect dangerous states of the system. By combining the probability of an incident with the normalized distance to incidents in the training sample, it is possible to simultaneously improve all the considered quality metrics for monitoring - accuracy, completeness, and timeliness. One approach to improving results is to use the scalar product of the normalized components of the metric space and their importance as features in a machine learning model. The permutation feature importance method is used for this purpose, which does not depend on the chosen machine learning algorithm. Numerical experiments have shown that using distances in a metric space of incident points from the training sample can improve the early detection of dangerous situations by up to two times. This proposed approach is versatile and can be applied to various classification algorithms and distance calculation methods.

Keywords: monitoring, machine learning, state classification, incident prediction, lead time, anomaly detection

The colonial period lasted in China from 1840 to 1949. During this time the economy and culture of traditional China underwent significant changes. The influence of European culture was strongly reflected in the architecture of Guangzhou. The compositional solutions of facades and stylistic techniques of residential buildings bear the features of European architecture. The purpose of this article is to analyze the types of residential buildings erected in Guangzhou during the colonial period and to determine their specific features. The following methods were used in the study: • comprehensive field surveys, photo recording and landscape-visual analysis of Guangzhou buildings erected during the colonial period; • historical and urban planning analysis of literary, cartographic and iconographic sources; • study of archival and design materials such as: - analysis of the work of Chinese architects of the late 19th - early 20th centuries, who studied in Europe and the USA, - analysis of the creative methods of European architects who arrived in Guangzhou during the colonial period. At the beginning of the colonial period, due to the rapid development of industry and trade, urban land was in short supply. Therefore, the plots of land acquired for construction had the shape of an elongated rectangle, when a short part of the plot faced the street. Hence the Zhutong commercial and residential buildings emerged, one of the traditional forms of residence in Guangzhou, widespread in the colonial period. The planning scheme of the new type of Guangzhou development - the Chilou houses, which formed long sections of streets with arcades, also arose on the basis of the Zhutong house. Typical examples of colonial architecture, in the layout of which features of a traditional Chinese house appear, although the facades are made in the style of the neo-Renaissance, are the Xiguan mansions and houses in the Shamian concession. Like the Chilou houses, which form pedestrian streets with their galleries, the facades of residential buildings of the colonial period have a completely European appearance, but the planning structure is based on the structure of a traditional Chinese house.

Keywords: Guangzhou, colonial period, European trends, traditional Chinese architecture, volumetric-spatial solutions, housing construction

The purpose of research is to increase the level of specification of sentiment within the framework of sentiment analysis of Russian-language texts by developing a dataset with an extensive set of emotional categories. The paper discusses the main methods of sentimental analysis and the main emotional models. A software system for decentralizing data tagging has been developed and described. The novelty of this work lies in the fact that to determine the emotional coloring of Russian-language texts, an emotional model is used for the first time, which contains more than 8 emotional classes, namely the model of R. Plutchik. As a result, a new dataset was developed for the study and analysis of emotions. This dataset consists of 24,435 unique records labeled into 32 emotion classes, making it one of the most diverse and detailed datasets in the field. Using the resulting dataset, a neural network was trained that determines the author’s set of emotions when writing text. The resulting dataset provides an opportunity for further research in this area. One of the promising tasks is to enhance the efficiency of neural networks trained on this dataset.

Keywords: sentiment, analysis, model, Robert Plutchik, emotions, markup, text

More attention is being paid to the transition to domestic software with the digitalisation of the construction industry and import substitution. At each stage of construction, additional products are needed, including CAD and BIM. The experience of integration of Russian-made systems for the tasks of information modeling of transport infrastructure and road construction is considered. Within the framework of the work the integration of Vitro-CAD CDE and Topomatic Robur software system was performed. Joint work of the construction project participants in a single information space was organized. The efficiency of work of the project participants was determined due to the release from routine operations. Integration experience has shown that the combination of Vitro-CAD and Topomatic Robur allows to manage project data efficiently, store files with version tracking, coordinate documentation and issue comments to it.

Keywords: common data environment, information space, information model, digital ecosystem, computer-aided design, building information modeling, automation, integration, import substitution, software complex, platform, design documentation, road construction

The problem of determining the area of defects in the surface layer of bearing parts according to eddy current non-destructive testing is considered. Methods of processing eddy current control data are given. The possibility of using a robust median polishing method to increase the information content of eddy current data is substantiated. It is proposed to use a sliding window, a standard deviation calculation, and a production rule formed by the Shannon information entropy criterion as tools for localizing defect patterns in the eddy current image of the control object. The results of the application of the developed localization algorithm based on eddy current control data of bearing parts obtained in real production conditions are presented.

Keywords: eddy current control, localization, defect, data analysis, recognition, surface layer, intelligent technologies, Shannon entropy, median polishing, classification problem