The article considers the problem of constructing a continuous displacement trajectory based on nodal feedback data in control systems with prediction of external load. The use of interpolation by cubic Fergusson splines is proposed. The proposed approach has computational efficiency and is applicable in adaptive control systems, including control of rotational movements in a non-deterministic environment.

Keywords: control, predictive models, MPC, external load, interpolation, spline, trajectory of the control object

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

A comprehensive method of system analysis and processing of financial information is proposed without prior training in five complementary taxonomies (genre, type of event, tonality, level of influence, temporality) with simultaneous extraction of entities. The method is based on an ensemble of three specialized instructions for a local artificial intelligence model with an adapted majority voting algorithm and a two-level mechanism for explicable failures. The protocol was validated by comparative testing of 14 local models on 100 expertly marked units of information, while the model achieved 90% processing accuracy. The system implements the principles of self-consistency and selective classification, is reproduced on standard equipment and does not require training on labeled data.

Keywords: organizational management, software projects, intelligent decision support system, ontological approach, artificial intelligence

This paper presents a decision support model for responding to forest fires in mountainous areas using fuzzy logic. The research methods include the Mamdani method for constructing a fuzzy inference system, the use of linguistic variables to describe environmental conditions and risk factors, and the formation of a rule base based on expert knowledge. The developed model implements the principles of situational management and enables determination of the fire danger level, selection of extinguishing methods, response tactics, and optimal resource allocation. Its practical significance lies in the potential application of the model in decision support systems of the Russian Ministry of Emergency Situations for operational planning and forecasting during forest fire suppression in challenging mountainous conditions.

Keywords: forest fires, mountainous terrain, fuzzy logic, decision support, intelligent systems, situational management

The article presents the architecture and implementation of an intelligent software package (ISP) for predicting the thermal resistance of semiconductor devices, in particular MOSFET transistors, at the design stage. The developed system combines physical and mathematical modeling of multilayer heat-conducting structures with machine learning methods, which allows for an accurate prediction of thermal parameters based on engineering characteristics and case design. The ISP implements a mechanism for automatically supplementing incomplete data using a knowledge base of typical parameters of domestic and foreign devices. Models were trained on a synthetically expanded sample formed taking into account the thermal conductivity of structural materials and layer geometry. Among the algorithms used are ensembles of random forests and gradient boosting, as well as neural network models. An analysis of the importance of features was carried out, key parameters that determine them were identified, and the possibility of using the ISP for early assessment of thermal conditions in CAD and CAE environments was demonstrated.

Keywords: thermal resistance, MOSFET, machine learning, intelligent software system, multilayer structure, predictive model, CAD, thermal conductivity

This article examines the problem of control and management in transport systems using the example of passenger rail rolling stock operation processes using information technology and automation tools. The main proposed methods for improving the efficiency of vehicle operation management are the use of digital modeling of transport complex objects and processes and the automation of probabilistic-statistical analysis of data on the technical and operational characteristics of the system. The objective of the study is to improve the operational efficiency, reliability, and safety of passenger rail rolling stock by developing digital twins of the rolling stock and digital models of its operation processes. The main objectives of the study are to develop approaches to automating methods of  analysis of the flow of data on the operation and technical condition of passenger rolling stock, as well as to develop a concept for applying digital modeling to solve current problems of passenger rail transport. The research hypothesis is based on the assumption of the effectiveness of applying new information technologies to solving practical problems of rolling stock operation management. The use of digital models of rolling stock units and the digitalization of the repair process are considered. The paper proposes the use of automated Pareto analysis methods for data on technical failures of railcars and least-squares modeling of distribution and density functions for passenger wagon operating indicators as continuous random variables. It is demonstrated that digital modeling of transport system objects and processes using big data analysis enables the improvement of transportation processes. General recommendations are provided for the use of information tools to improve the management of passenger rolling stock operations in rail transport.

Keywords: information technologies, digital modeling, digital twin, automated control, system analysis, process approach, reliability, rolling stock operation, maintenance and repair, monitoring systems

The paper examines the nature of exponential behavior and identifies the conditions under which the probabilistic distribution of the project completion period deviates from the exponential one. For this purpose, a model has been developed in which the evolution of the project is described as a Markov process with a transition matrix containing a constant in all elements of the first row. This structure corresponds to a situation in which the project can be restarted at any time. Project completion times can follow various statistical distributions, including normal, exponential, and more complex forms. Examples of such projects can be research, exploration, venture and other similar projects. An analysis of the dynamics shows that the model reliably reproduces the exponential distribution in cases where the probability of a restart remains moderate. This indicates the limit of applicability of the exponential description.: it is adequate for low and medium restart probabilities, but loses accuracy with a high level of uncertainty.

Keywords: Markov processes, project management, exponential distribution, project completion time, risk assessment, probabilistic forecasting, uncertainty in projects, risks of assumptions, dynamics of project evolution

Construction work often involves risks when carrying out complex sets of tasks described in the form of network schedules, in particular, risks of violating tender deadlines and project costs. One of the main reasons for increased project risks is a lack of resources. The main objective of this study is to develop a methodology for modeling network schedules under resource constraints, taking into account the stochastic influence of risks on project completion deadlines. The paper analyzes tools for modeling project schedules; describes a mathematical model for estimating project cost based on a network schedule under resource constraints; proposes a method for modeling a network schedule in the AnyLogic environment; develops an algorithm for modeling parallel branches of a project schedule under resource constraints; and describes a method for modeling a network schedule for project work. Testing was conducted based on a network schedule for a project to construct a contact line support. It has been shown that the method allows for obtaining probabilistic estimates of project deadlines and costs under conditions of risk and limited resources. The methodology can be applied to various projects described by network schedules and will allow solving a number of practical tasks: optimizing resources allocated for project implementation, taking into account the time and cost of the project, analyzing risks affecting project implementation, and developing optimal solutions for project risk management.

Keywords: network schedule, work plan, simulation modeling, risk analysis, project duration, project cost

The aim of this study is to evaluate the environmental and economic efficiency of using hydrogen-natural gas mixtures in existing fuel systems. The work is based on a stoichiometric calculation of emissions and a comparative cost analysis. It was found that the linear relationship between the hydrogen content and CO₂ emission reduction allows for a 30% reduction for a mixture containing 30% vol. H₂. Water vapor emissions are also reduced by 15%, which is explained by the difference in the combustion stoichiometry of methane and hydrogen. The article substantiates the economic feasibility of this technology when using inexpensive hydrogen produced locally, for example, through waste recycling.

Keywords: gas, natural gas, hydrogen, greenhouse gases, gas mixture, carbon dioxide

The article examines the features of adaptive design in construction as a fundamental component for ensuring life safety in the zone of a special military operation. The modern world is changing at an incredible pace: climate anomalies are becoming more frequent, technological paradigms are being replaced within years, and social and economic conditions are undergoing constant transformations. Nowhere are these challenges manifested as acutely and concentratedly as in the zone of a special military operation (SMO). It is precisely here that the traditional approach to construction, focused on creating static, "frozen" objects, proves not only ineffective but also dangerous. It is being replaced by adaptive design – a philosophy and methodology that views a building or infrastructure object not as a final product, but as a living, evolving organism capable of evolving in response to direct threats and changing operational conditions. Adaptive design is a strategy for creating architectural objects and urban planning systems that can be easily modified, transformed, or repurposed in response to changes in external or internal conditions. In peacetime, this is a response to changing markets and technologies. In the zone of a special military operation, it is a matter of ensuring life safety. This is not simply post-factum repair or reconstruction, but the inherent ability of an object to instantly change its function and protective properties without radical rebuilding. The experience of the special military operation zone has openly proven that adaptive design is not an abstract idea from construction textbooks, but a critically important discipline upon which people's lives and the success of the assigned task depend. The principles of flexibility, modularity, and multifunctionality that are being tested today in extreme conditions will tomorrow become the new standard for the entire construction complex of the Russian Federation. They will form the basis for the restoration of cities, the creation of sustainable civil infrastructure, and the formation of new, anti-crisis architecture capable of withstanding the challenges of both wartime and peacetime. In the zone of a special military operation, architectural heritage is being tested and created, which will remain functional, in demand, and sustainable tomorrow. The future of construction belongs to those who design not for years, but for possibilities.

Keywords: adaptive construction, modern trends, modern design technologies, construction industry, construction processes, special military operation

The results of a study of the shrinkage, mechanical properties, and durability of slag-lime concrete modified with machine and vegetable oils are presented. To determine the effect of the oils, the physical and mechanical properties (setting time, compressive strength, and autogenous shrinkage) were tested. The experimental results show that using oil as a structure modifier for slag-lime concrete can significantly reduce its autogenous shrinkage by reducing surface tension and creating a denser internal structure. It was found that emulsified oils provide superior physical and mechanical properties to concrete compared to non-emulsified oils. The setting time is also longer than in compositions without an organic modifier. The use of emulsified oils reduces the negative properties of slag-lime concrete, such as shrinkage, cracking, and reduced setting time.

Keywords: metallurgical waste, granulated slag, hardening activator, binder, superplasticizer, setting time, spray, strength

The article presents numerical modeling of flow dividers (separators) with different hole diameters (3.5 mm, 7.0 mm, 14.0 mm) to prevent cavitation damage. The hole diameters, number, and rows in the separators have equivalent significance, as they determine the distribution of local velocities and pressures in the flow. This minimizes the risk of vapor bubble formation and subsequent collapse, which can lead to erosion of metal surfaces. For clarity, the simulation results are presented in the form of pictures of the distribution of pressure and velocities in each of the separators with different diameters. In order to prevent cavitation, the authors have presented a design of a "short-stroke" valve in which it is allowed to use flow dividers with enlarged holes.

Keywords: valve, cavitation, distribution pattern, separator, holes, rotation, simulation, flow divider

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

The article is devoted to assessing the influence of possible inhomogeneities in the layers of road pavements on the results of backcalculation of elastic moduli based on testing data of falling weight deflectometres (FWD). The article discusses the influence of different locations of theoretically specified inhomogeneities of structural layers within the roadway. Additionally, the influence of the location of the edge of the pavement on the results of calculating elastic moduli by backcalculation is considered. The conducted numerical experiment confirms that possible inhomogeneities of the road pavement can significantly influence the results of reverse calculations, and as a consequence, the decision-making on the appointment of repair measures. The boundaries are also determined at which the presence of a shoulder with a pavement design that differs from the roadway significantly distorts the results obtained. At the end of the work, ways to practically take into account inhomogeneities and further improve the method of inverse calculation of the elastic moduli of non-rigid road pavements are proposed.

Keywords: dynamic loading system, road pavement,structural layers, deflection bowl, asphalt concrete, elastic modulus, backcalculation, heterogeneity of layers, roadway, roadside

The calculation of wind loads on curtain facades and their fastening elements for high-rise buildings and structures using engineering methods and various numerical techniques remains an important task to this day. The corner sections of the building, where the greatest negative wind pressure occurs, are of particular interest. Incorrect calculation of wind suction can lead to the separation of panels during strong winds. The article calculates the peak wind load using a numerical method for a rectangular building with an aspect ratio of 0.6. Numerical calculations of the two-dimensional flow around the building profile in the ANSYS Fluent program using the k-e Realizable turbulence model were used to obtain the coefficients of drag, lateral force, and the distribution of the pressure coefficient at maximum lateral force. The calculations showed that the wind suction at the edge of the building exceeds the standard value by approximately 30%. The results obtained in the article should be taken into account when designing the facade.

Keywords: peak wind load, wind suction, rectangular buildings, peak negative aerodynamic pressure coefficient

The article presents the development of an analytical hydraulic model of the side branch pipe of a three-way fire branch DN80. The relevance of the work is due to the need for accurate hydraulic calculation of fire water supply systems, the effectiveness of which directly depends on the correct assessment of pressure loss in the fittings. The model is based on the method of element-by-element calculation, which takes into account local hydraulic resistances in areas with a sharp change in the flow geometry. The model includes losses at four bends (three at 45° and one at 90°), a straight-flow valve, and sudden expansion and contraction sections. The contribution of linear head losses, similar to the central branch pipe, was considered insignificant, accounting for only about 6% of the local losses. This confirms the key role of local resistances in determining the overall head loss in this element. The model was verified by comparing the calculated data with the results of experimental studies. It has been established that the discrepancy between the theoretically calculated value of the head loss (6.86 m) and the experimental value (6.97 m) is minimal, with a difference of only 1,6 %, indicating the high accuracy and adequacy of the developed model. The key practical result of the study is the calculation of the total coefficient of local resistances for the lateral branch pipe of the fire branch, which was found to be ζ = 3.4. This value can be directly used for simplified and accurate hydraulic calculations of pump-hose systems with three-way branches.

Keywords: Model, fire three-way junction, hydraulic resistance, head, pressure, flow rate

The article is devoted to the formalization of quality assessment criteria in the framework of the development of an automated quality management system at the stage of design preparation for the production of machine-building products. The main focus of the research is in the development of the terms of reference (TK). The author suggests formal criteria for assessing the quality of TK, aimed at forming comprehensive requirements for the design of the product and the organization of work. The methodology is based on a systematic analysis of domestic and foreign literature, as well as regulatory documents, and the formation of a graduated quantitative scale for each assessment criterion based on them. The key evaluation criteria are highlighted, each of which is assigned characteristics and scoring systems for quantitative analysis and the possibility of subsequent use when creating an automated quality management system at the checkpoint stage. The work contributes to improving the quality and competitiveness of products through a systematic assessment of the initial stage of development and the formation of the correct requirements for innovative products. The research results are focused both on research in scientific peer-reviewed journals of the Russian Federation, and with attention to international experience, which allows combining existing experience in the subject area.

Keywords: design preparation of production, quality assessment, formal criteria, terms of reference

This article explores the migration of the Chuvash Encyclopedia's website from the outdated ASP.NET platform to the modern Laravel framework. It provides a brief history of the regional online scientific reference resource, the reasons for updating its technical base, including security issues, incompatibility with modern browsers, and a lack of technical support. It also analyzes the key stages of its transition to the new Laravel platform. These include a thorough audit of the old encyclopedia website, including URL mapping, the design of a new database architecture on the modern MySQL 8.0 platform, which has been significantly optimized compared to the outdated version, as well as database migration from MSSQL to MySQL 8.0 and database processing using console commands. An example of a developed console command for automatically replacing URLs is provided. The result of this work was the launch of an updated website for the Chuvash Encyclopedia online at http://chuvenc.ru, which meets modern security and performance standards. New solutions were developed to migrate the outdated, yet socially significant, web resource to a modern platform with minimal data and functionality loss.

Keywords: Electronic Chuvash Encyclopedia, website, ASP.NET platform, Laravel framework, database, MySQL, data migration, data processing automation, console commands

The article provides a brief description of the Berezovskaya GRES thermal power plant, a detailed description of the design object, and an analysis of the existing automation systems. Based on the analysis, it is concluded that the hazardous production facility requires technical re-equipment, which involves the modernization of the technical devices used at the hazardous production facility. The necessary equipment has been selected for the designed process control system. An architectural solution has been created for the system, ensuring its efficient functioning and high level of reliability. A reliability analysis has been conducted, confirming compliance with regulatory requirements and sufficient uptime.

Keywords: remote monitoring and control, fuel oil management, PLC programming, import substitution, operator's workstation

This article examines an approach to designing the architecture of management decision support systems for entrepreneurial structures using artificial intelligence (AI) technologies. It is demonstrated that traditional decision-making methods fail to provide sufficient speed and justification for management actions in the face of high market volatility and information overload. A multi-level architecture is proposed, based on the principles of modularity, human-AI hybrid interaction, explainability, and incremental development. The system's structure, comprising four layers, is presented. Particular attention is paid to the role of the human-in-the-loop and the threshold control of decisions. Using small and medium-sized enterprises as an example, it is shown that the proposed approach enhances forecast accuracy, accelerates the management cycle, and fosters a culture of trust in analytics. The architecture ensures adaptability, transparency, and regulatory compliance, making it an effective tool for implementing AI in entrepreneurial structures.

Keywords: management decision-making, architecture, artificial intelligence, human-in-the-loop, digital transformation, intelligent support