This article introduces a new method for creating architectural objects that can effectively withstand technological threats. The innovation of the design schemes is based on a unique conceptual duality: the system can be analyzed both in the traditional three-dimensional paradigm of force transmission and using a fundamentally new four-dimensional resource model of stress redistribution. How does this model enable active resource management and adaptation of the structure to changing conditions? This is the focus of this article.

Keywords: transformation, four-dimensional architecture, spatial rod structures, technogenic threats, transmetric monoparametricism, twisted spatial beam, pentachoron, four-dimensional simplex

This study presents a method for preprocessing data sequences aimed at identifying and grouping different data files for subsequent use in training neural networks. An algorithm for file comparison based on the relative deviation of feature values ​​is proposed, taking into account boundary cases (zero and near-zero values). The implementation includes parallel processing to improve performance and the generation of detailed reports. The method is tested on a dataset containing 10,000 files with parameters of a chemical process in a laboratory reactor. The results demonstrate the method's effectiveness in identifying stationary regions and generating balanced training sets.

Keywords: вata preprocessing, relative deviation, machine learning, parallel computing, file grouping, computational fluid dynamics, chemical reactor

A vectorial diffraction model is presented for the focusing of a Gaussian laser beam with a wavelength of 800 nm by a parabolic metallic mirror with a diameter of 15 mm and a focal length of 150 mm. The model is based on a rigorous calculation of the reflected electromagnetic field using s- and p-polarization basis functions, complex Fresnel coefficients, and the Kirchhoff–Rayleigh surface integral. The reflective coating is characterized by a complex refractive index n = 0.145 + 4.5i, corresponding to silver in the near-infrared spectral range. The incident beam has a waist radius of 3 mm at the mirror’s vertex plane. The field distribution in the focal plane is numerically computed on a 300×300 grid over a ±30 μm region. Focus quality is evaluated using three criteria: total intensity, radial intensity distribution, and the full width at half maximum (FWHM) of the focal spot. A focal spot with FWHM ≈ 8.56 μm is obtained, in close agreement with the theoretical diffraction-limited estimate. The results demonstrate that accounting for the vectorial nature of the field and the dissipative properties of the metal enables accurate prediction of polarization distortions and energy losses in practical mirror-based focusing systems.

Keywords: vectorial diffraction model, parabolic metallic mirror, Gaussian laser beam, Fresnel coefficients, complex refractive index

Differential-algebraic equations for describing the motion of a plane-parallel robot-manipulator are investigated. The dynamic model is constructed using the Lagrange equation and the substructure method. The design of a control system regulator using the sliding mode method is considered. The control accuracy is tested on a model of a 3-RRR plane-parallel robot . It consists of three kinematic chains, each of which has two links with three rotational joints. To study the efficiency of the controller, a circular trajectory is used as the target motion for the multibody system. The considered control system for a plane-parallel robot is capable of solving problems of movement and ensuring high positioning accuracy.

Keywords: control, plane-parallel robot, kinematic characteristics, dynamic model, differential-algebraic equations, constraint equation, controller, sliding mode, Lyapunov function, program trajectory

This article presents a structured approach to deploying and integrating Grafana, Loki, and Alloy in Kubernetes environments. The work was performed using a cluster managed via Kubespray. The architecture is focused on ensuring external availability, high fault tolerance, and universality of use.

Keywords: monitoring, ocestration, containerization, Grafana, Loki, Kubernetes, Alloy

The article describes the development of an application software designed for the automated creation of ornamental compositional patterns based on user-uploaded motifs. The study discusses algorithms for ornament generation using five grid types: square, rectangular (horizontal and vertical), ribbon, and radial. The main principles of user interaction with the program are outlined, including image uploading, parameter adjustment, visualization, and result saving. The software was implemented in Python using the Pillow and Tkinter libraries, which provide tools for image processing and graphical interface design. The presented results demonstrate the efficiency of an automated approach to ornament construction, significantly accelerating the design process and making it accessible to a wide range of users. The developed program supports iterative experimentation and visual modification of motifs in real time, enabling users to generate unique decorative compositions in the style of traditional folk crafts. The application can be used in educational, creative, and research contexts, promoting algorithmic thinking through visual experimentation. The project contributes to the digital preservation and reinterpretation of national artistic heritage, combining the traditions of folk ornamentation with modern technological methods.

Keywords: digital tools, ornament, generation, application software, graphical interface, Python, generation algorithms, cultural heritage, digital art, automation, folk arts and crafts

The article considers the issue of forming a system of public spaces on university campuses as a key factor in educational, social and innovative activities. The functions, typology and principles of organizing campus public spaces are analyzed in the context of modern educational paradigms and urban trends. The scientific novelty lies in the systematization of the principles of organizing public spaces of various types as a single system that responds to the challenges of digitalization and the actualization of social interaction. A conclusion is made about the need to move from designing individual spaces to creating a holistic, flexible and multifunctional system that serves as the framework for university life.

Keywords: university campus, public space, educational environment, social interaction, innovation ecosystem, campus urbanism

Changes in external conditions, parameters of object functioning, relationships between system elements and system connections with the supersystem lead to a decrease in the accuracy of the artificial intelligence models results, which is called model degradation. Reducing the risk of model degradation is relevant for electric power engineering tasks, the peculiarity of which is multifactor dependencies in complex technical systems and the influence of meteorological parameters. Therefore, automatic updating of models over time is a necessary condition for building user confidence in forecasting systems in  power engineering tasks and industry implementations of such systems. There are various methods used to prevent degradation, including an algorithm for detecting data drift, an algorithm for updating models, their retraining, additional training, and fine-tuning. This article presents the results of a study of drift types, their systematization and classification by various features. The solution options that developers need to make when creating intelligent forecasting systems to determine a strategy for updating forecast models are formalized, including update trigger criteria, model selection, hyperparameter optimization, and the choice of an update method and data set formation. An algorithm for forming a strategy for automatic updating of artificial intelligence models is proposed and practical recommendations are given for developers of models in problems of forecasting time series in the  power industry, such as forecasting electricity consumption, forecasting the output of solar, wind and hydroelectric power plants.

Keywords: time series forecasting, artificial intelligence, machine learning, trusted AI system, model degradation, data drift, concept drift

This study presents an effective vision -based method to accurately identify predator species from camera trap images in protected Uganda areas. To address the challenges of object detection in natural environments, we propose a new multiphase deep learning architecture that combines extraction of various features with concentrated edge detection. Compared to previous approaches, our method offers 90.9% classification accuracy, significantly requiring fewer manual advertising training samples. Background pixels were systematically filtered to improve model performance under various environmental conditions. This work advances in both biology and computational vision, demonstrating an effective and data-oriented approach to automated wildlife monitoring that supports science -based conservation measures.

Keywords: deep learning, camera trap, convolutional neural network, dataset, predator, kidepo national park, wildlife

An integrated approach to the numerical study of forced oscillations of a vehicle moving over an uneven road surface is proposed. The method combines 3D parametric modeling in SolidWorks with spectral-correlation analysis in MATLAB/Simulink. A multibody CAD model of a vehicle with independent suspension for all wheels was developed, including the main frame, lever suspensions with nonlinear elastic-damping elements, wheels, and the powertrain. The road microprofile was formalized using a correlation function implemented as a random process in MATLAB and imported into SolidWorks as a spatial profile. Dynamic analysis was performed using the SolidWorks Motion module. The results show that the vehicle's suspension exhibits a filtering effect, attenuating high-frequency disturbances from the road and shifting the dominant frequency of the center of mass oscillations to a lower range (~0.4 Hz). The rapid decay of the autocorrelation function indicates effective damping. This approach allows for efficient virtual testing without costly physical experiments.

Keywords: vehicle dynamics, road microprofile, multibody modeling, SolidWorks Motion, MATLAB/Simulink, spectral analysis, autocorrelation function, suspension filtering effect, forced oscillations

This paper provides a survey of metrics used to assess the quality of images generated by generative models. Specialized metrics are required to objectively evaluate image quality. A comparative analysis showed that a combination of different metrics is necessary for a comprehensive evaluation of generation quality. Perceptual metrics are effective for assessing image quality from the perspective of machine systems, while metrics evaluating structure and details are useful for analyzing human perception. Text-based metrics allow for the assessment of image-text alignment but cannot replace metrics focused on visual or structural evaluation. The results of this study will be beneficial for specialists in machine learning and computer vision, as well as contribute to the improvement of generative algorithms and the expansion of diffusion model applications.

Keywords: deep learning, metric, generative model, image quality, image

The purpose of the work was to develop a model of maintaining balance in accordance with the parameters of the human body, which ensures the function of maintaining the body's balance in space. The key indicator of stable balance is the center of mass (CM) of the human body. The stability of the posture is ensured by the projection of the center of mass (CM) within the support area. The article describes two models that assess the displacement of the CM projection relative to the support area. The principle of operation of the models is based on pendulum motion in the sagittal plane (forward-backward movements) and the frontal plane (lateral movements). The model includes a comprehensive visualization of the CM projection on the support area in real time, as well as a quantitative assessment of stability by counting the percentage of time spent in the support area. The model provides a more comprehensive understanding of the mechanisms involved in maintaining equilibrium.

Keywords: balance maintenance mechanisms, modeling, biomechanics, and the center of mass

The article presents and analyzes the algorithm for calculating bending reinforced concrete structures by normal section based on a nonlinear deformation model recommended in the standards for the design of reinforced concrete structures SP 63.13330.2018. Calculation of reinforced concrete structures based on a nonlinear deformation model is a priority, since it expands the set of controlled parameters, which leads to a more accurate description of the operation of building structures. The features of performing the calculation using this algorithm, as well as other approaches to calculating bending reinforced concrete structures by a normal section based on deformation and other models, are considered. The sequence of calculations using computer technologies is shown using the example of calculations in the engineering nonlinearity1 system of the LIRA-SAPR software package. The results of calculating a rod element of the calculation scheme are given: changes of the bending moment, stiffness, and deformation modulus for finite elements along the rod length. In this case, the calculation in the engineering nonlinearity1 system is performed with subsequent adjustment of the stiffness characteristics of the finite elements, carried out during the iterative calculation, with clarification of the stress-strain state, deflection of the element and its reinforcement. Additional capabilities of performing calculations using the engineering nonlinearity2 system are described: expanded the possibilities of assigning various laws of material deformation, describing the loading of the calculation scheme, reinforcement of structures, and the possibility of using a step processor.

Keywords: bending reinforced concrete structures, nonlinear deformation model, calculation scheme, calculation algorithm, PC LIRA-SAPR, engineering nonlinearity, system

The article provides a justification for the concept of a folding system for a prefabricated residential module based on wooden structures. An analysis of foreign analogues of prefabricated transformable wooden buildings and an assessment of the possibility of their use in northern climatic conditions has been performed. A transformation system for a prefabricated wooden module for use in northern and Arctic conditions is proposed and substantiated.

Keywords: low-rise housing construction, transformation, transformation of low-rise residential buildings, prefabricated transformable buildings, pre-manufactured at the factory, high degree of factory readiness

The article describes the features of using a two-layer membrane with the use of injection control fittings in the installation of underground waterproofing. The circumstances preventing the mass application of this technology have been identified, the main part of which is related to the increase in the cost of work at the initial stage. However, the use of the technology is justified because it allows you to localize the location and period of leakage, has increased maintainability and durability.

Keywords: waterproofing, modern waterproofing technologies, double-layer membrane, injection control fittings