The article discusses aspects of the implementation of the architecture of cultural and educational centres in industrial cities. This article reveals historical context of the formation of cultural and educational institutions in the structure of industrial cities. Some of the objects in cities of the Donbass region are given as examples, including the context of architectural revitalization. The term "rehabilitation" is analyzed in relation to architectural and urban planning activities. The factors that determine the need for social rehabilitation in industrial cities are given in this article, including those applicable to the cities of the Donbass region. The aspects of social rehabilitation are formulated in this paper, which make it possible to apply this concept to industrial territories. Some socio-economic aspects, that reveal the meaning of architectural reinterpretation of objects of industrial and post-industrial territories, are given in this paper. Special attention is paid to the potential of cultural and educational centers as a tool for integrating former industrial territories into modern urban space.

Keywords: architectural heritage, industrial city, culture, cultural and educational institution, social environment, leisure, rehabilitation, modernization, architectural transformation, sustainable urban development, regional specifics

A reproducible method is presented for the autonomous determination of the coordinates of the base stations of fourth-generation mobile radio networks and the parameters of their sectors, based solely on field observations of the modem without using time delay and methods for estimating the angles of arrival of the signal. The approach combines robust allocation of an informative "core" of measurements, weighted minimization of distances and aggregation at the site level, providing stable estimates in urban environments. Experimental verification in a real scene demonstrates a significant reduction in localization error compared to the basic centroid and median methods, which confirms the practical applicability of the proposed solution.

Keywords: LTE, positioning, localization, base station, site coordinate, signal strength, angular distribution, sectorization, optimization, observation, geometric median, field recording, minimization method, radio signal

The article discusses the current threats posed by unmanned aerial vehicles and their impact on the development of the legal and regulatory framework for construction safety in Russia. Based on an analysis of regulatory documents, the article explores the phenomenon of law substitution and the obsolescence of the legal and regulatory framework for construction safety. The author proposes an initial approach to addressing these issues by modernizing the legal framework for building and structure safety. To achieve this, the author has formulated new concepts that are recommended for inclusion in the key law and that lay the foundation for a new institution of unmanned (anti-drone) security in the construction industry.

Keywords: regulatory legal act, regulatory technical act, law replacement, unmanned aerial vehicle, threat of an unmanned aerial vehicle, unmanned anti-drone security, unmanned danger

The article presents an analysis of the quality of services to assess the originality of the "anti-plagiarism" text using the example of texts generated by a neural network. For the analysis, three originality assessment services and texts generated by three different neural networks were used.

Keywords: text originality, anti-plagiarism, neural networks, text analysis, borrowings

Electrocardiogram (ECG)-based biometric authentication systems offer intrinsic resistance to spoofing due to their physiological uniqueness. However, their performance in dynamic real-world settings, such as wearable devices or stress-induced conditions, is often compromised by noise, electrode displacement, and intra-subject variability. This study proposes a novel hybrid framework that enhances robustness, ensuring high authentication accuracy and reliability in adverse conditions, through integrated wavelet-based signal processing for noise suppression and a deep-learning classifier for adaptive feature recognition. The system employs preprocessing, QRS complex detection, distance–deviation modeling, a statistical comparison method that quantifies morphological similarity between ECG templates by analyzing amplitude and shape deviations and an averaging-threshold mechanism, combined with a feedforward Multi-Layer Perceptron (MLP) neural network for classification. The MLP is trained on extracted ECG features to capture complex nonlinear relationships between waveform morphology and user identity, ensuring adaptability to variable signal conditions. Experimental validation on the ECG-ID dataset achieved 98.8% accuracy, 95% sensitivity, an Area Under the Curve (AUC) of 0.98, and a low false acceptance rate, outperforming typical wearable ECG authentication systems that report accuracies between 90% and 95%. With an average processing time of 8 seconds, the proposed method supports near real-time biometric verification suitable for healthcare information systems, telehealth platforms, and IoT-based access control. These findings establish a scalable, adaptive, and noise-resilient foundation for next-generation physiological biometric authentication in real-world environments

Keywords: electrocardiogram biometrics, wavelet decomposition, QRS complex detection, feedforward neural network, deep learning classification, noise-resilient authentication, biometric security

The article discusses methods for automated determination of threshold values of parameters when assessing the critical state of technical systems. It explores the theoretical foundations and practical aspects of setting thresholds, including statistical, expert, and combined approaches. Particular attention is paid to mathematical models and algorithms for processing monitoring data. Various methods for determining threshold values are presented: computational, experimental, statistical, and expert. The features of applying adaptive thresholds, dynamic control, and machine learning systems are described. An analysis of existing approaches to determining critical conditions of equipment is conducted. Recommendations are developed for selecting optimal methods for determining thresholds, taking into account the specifics of technical systems. Comprehensive solutions are proposed that combine analytical and machine methods to improve the reliability and safety of computing complexes.

Keywords: automated control, threshold values, technical diagnostics, critical state, computing systems, machine learning, statistical analysis, expert systems, equipment monitoring, technical safety

Experimental studies have been conducted on a method for obtaining a highly dispersed water-air mixture for flotation wastewater treatment using vortex mixing devices. In the course of experimental studies, the patterns of changes in the circumferential (radial) flow velocities of a single-phase liquid (pure water) in the annular space of the barrel of a vortex mixing device at different diameters of the central rod were determined. Experimental studies were carried out at different heights of the H trunk (0.5 m, 1 m, 1.5 m and 2 m) with and without enamel coating of the flow part

Keywords: flotation, dispersion, vortex mixing device, axial velocity, circumferential velocity, trajectory angle of incidence, enamel coating

The purpose of the article is to study the possibility of the influence of various factors affecting the process of eliminating a water pipeline accident based on its modeling using fuzzy logic methods. The article discusses various options for managing the process of eliminating a water pipeline accident and, during the analysis, determines a set of qualitative parameters that are used in the fuzzy inference model based on the Mamdani method. To build a mathematical model, 37 products were formulated with the help of a group of experts, so that the model can work with selected qualitative variables as with quantitative ones and track the changes that occur in the process. The result of the inference cycle is a clear value of the parameters describing the possible actions necessary to eliminate the accident. The resulting mathematical model allows you to analyze the input parameters at a qualitative level, gives a qualitative representation of the result at the output, which will increase the effectiveness of actions aimed at eliminating a water pipeline accident. The quality of functioning of the described model is verified by a group of experts.

Keywords: fuzzification, defazziification, Mamdani method, system analysis, fuzzy logic, qualitative parameters, water pipe accident, mathematical model

The article addresses the issues of integration and processing heterogeneous data within a single company as well as during interaction between various participants of business processes under conditions of digital transformation. Special attention is given to collaboration between equipment manufacturers and industrial enterprises, emphasizing the importance of aligning and transforming data when interacting with heterogeneous information systems. The problem of integrating historical data, challenges arising from transitioning to new infrastructure, and a solution based on principles similar to those used by open standards such as OpenCL are discussed. Particular emphasis is placed on providing complete and consistent datasets, developing effective mechanisms for semantic integration, and using ontological approaches to address difficulties in comparing and interpreting diverse data formats. It highlights the necessity of continuously updating metadata dictionaries and establishing connections between different data sources to ensure high-quality and reliable integration. The proposed methods aim at creating sustainable mechanisms for exchanging information among multiple business entities for making informed management decisions.

Keywords: digital transformation, heterogeneous systems, erp/mes systems, ontology, semantic integration, metadata, data mapping

The article examines the unique environment of the historical district of Parusinka in Ivangorod, which has been formed over more than two hundred years. The typology of the architectural and spatial environment has been determined based on a comprehensive analysis; each type of environment has its own unique potential and specific problems. The study highlights the need for an individual and fragmented approach to the revitalization of each territorial unit in order to preserve the "spirit of the place" and comprehensively optimize the district of the border city.

Keywords: Ivangorod, Narva Manufactory, historical environment, architectural and spatial environment, urban environment optimization, reconstruction, place identity

The article is devoted to the problem of verification of distributed algorithms using formal methods. The classical leader selection algorithm in ring topology, the ring algorithm, is chosen as the object of research. For its analysis, the specification language of the Temporal Logic of Actions (TLA+) is used. The paper presents a detailed formal model of the algorithm, describing its states and transitions, taking into account the features of distributed systems, such as the lack of shared memory. The key properties of correctness are formulated and proved: the uniqueness of the leader (the property of security), the finality of elections (the property of liveliness) and consent. The correctness of the specification was confirmed using the model model verifier of the language of temporal logic of actions, which exhaustively checked all achievable states for the model with three processes. The results demonstrate the effectiveness of the Time Logic Specification language (TLA+) for providing a high degree of confidence in the reliability of distributed systems.

Keywords: formal verification, distributed systems, ring algorithm, leader selection, specification language for temporal logic of actions, model verification, security properties, vivacity properties.formal verification, distributed systems, ring algorithm

The article describes practical experience in restoring the author's paintings using the example of the Stone Church of the Descent of the Holy Spirit at the Danilovsky Cemetery, Moscow. The purpose of this article is to show specific methodological solutions in the restoration process that help avoid design errors and preserve the historicism of the object. The essence of the restoration problems lies in the fact that there is an extensive scientific base, large scientific libraries, passports of restoration of objects, expert opinions and reviews, which include official data on the object, but do not have a description of the restoration process and descriptions of problems solved during the production process.

Keywords: architecture, restoration, scientific restoration, painting in the temple, cultural heritage sites, authenticity, historicism

An ensemble of models for predicting the position of a mobile robot moving in an unstructured environment is presented. An architecture has been developed that integrates a kinematic motion model with trainable models utilizing elevation map data and semantic segmentation. The principles for constructing a spatial feature map are described, incorporating geometric characteristics such as the terrain roughness index and a fuzzy traversability index. A modular structure of the following blocks is proposed: data preprocessing, geometric property computation, segmentation, and decision-making. Test results demonstrate the advantage of combining kinematic and sensor-based models for autonomous navigation in complex environments.

Keywords: traversability model, elevation map, point cloud, kinematic model, segmentation, machine learning, feature map

Abstract: During the colonial period, the urban development policy of Guangzhou changed dramatically. These changes were the result of the collision and interaction of social, economic, cultural and other factors. This article examines the features of Guangzhou's urban development policy during the colonial period. By identifying and analyzing the features of Guangzhou's urban planning at different times during the colonial period, its changing urban development characteristics are explored. Knowledge of the spatial characteristics of Guangzhou's architectural environment during the colonial period provides a basis for future development of the foundations for the preservation and sustainable development of modern Guangzhou and other cities in China.

Keywords: Guangzhou, colonial period, opium wars, urban development policy, features of urban planning

The article presents research in the form of comparison of safety factors in guy ropes of building structures designed using the limit state method and ropes of mast structures related to power engineering facilities, specified in federal norms and rules. It is demonstrated that the use of safety factors for guy ropes of mast structures, justified by the theory of reliability, allows to effectively solve the problem of assigning rejection criteria for guy ropes, and can be used in developing recommendations for their inspection, technical diagnostics, and operation based on the existing known rejection criteria used for lifting structures.

Keywords: building structures, wooden structures, membrane panel, stress-strain state, radial beam dome, dome, membrane, design, experimental study