The use of methods for strengthening soils with Portland cement makes it possible to increase the physical and mechanical properties of soils: strength, frost resistance, water permeability, etc. A technical understanding of the processes of structure formation in reinforced soils makes it possible to regulate the final properties and quality of the layers of highways. To describe the processes of structure formation, it is possible to use the theory of contact interactions and the theory of DLFO. The final properties of the reinforced soil are influenced by the following factors: mineralogy and specific surface area of the soil, water content, amount of cement, curing time and method of compaction.

Keywords: stabilized soils, structure formation of stabilized soils, stabilization with Portland cement, properties of stabilized soils

Abstract. The purpose of the article is to study the information security of critical parameters of the organization's IT infrastructure processes and its digital infrastructure using Security Monitoring Centers. Such risk factors as adaptability, stability in the middle and long period, the influence of uncertainties ("white noise") are emphasized. In addition to system analysis and synthesis, methods of mathematical (simulation, operator) modeling, computational mathematics and statistics are used in the work. Based on the analysis and synthesis, the following main results were obtained: 1) the classification of the effects of various attacks on the distributed infrastructure was carried out; 2) a scheme, a multiplicative model of integral interactions of protective measures and an integral measure of security are proposed; 3) an algorithm has been developed to identify the constructed multiplicative model based on the least squares criterion, both by the set of factors and by risk classes; 4) shows an example of an operator equation taking into account random noise in the system. Scientific and practical value of work: the results can be used to assess the security of the system and reduce the risks of targeted attacks, damage from them. In addition, the proposed schemes will facilitate situational modeling to detect risk situations and assess the damage from their implementation.

Keywords: assessment, sustainability, maturity, information security center, monitoring, risk, management

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

When evaluating student work, the analysis of written assignments, particularly the analysis of source code, becomes particularly relevant. This article discusses an approach for evaluating the dynamics of feature changes in students' source code. Various metrics of source code are analyzed and key metrics are identified, including quantitative metrics, program control flow complexity metrics, and the TIOBE quality indicator. A set of text data containing program source codes from a website dedicated to practical programming, was used to determine threshold values for each metric and categorize them. The obtained results were used to conduct an analysis of students' source code using a developed service that allows for the evaluation of work based on key features, the observation of dynamics in code indicators, and the understanding of a student's position within the group based on the obtained values.

Keywords: machine learning, text data analysis, program code analysis, digital footprint, data visualization

The article is designed to identify the basic principles of the formation of the museum complex ""New Chersonesos"" and its thematic, visual and sacred relationship with ancient Chersonesos. The article considers a brief history of the formation and development of Tauric Chersonesos, its significance as one of the key places of the Russian cultural tradition and national identity. The article evaluates the architectural and compositional features of the New Chersonesos museum complex. The interrelation of its constituent objects and their functional and planning features is given. The basis of the model for the development of the territory of New Chersonesos was a system of contact joints and axes that determine the compositional structure of individual ensembles, the placement of spatial accents that give the direction of movement within the complex itself and in adjacent territories. The article is carried out within the framework of a dissertation research devoted to the Hellenistic cities of the Northern

Keywords: Tauric Chersonesos, New Chersonesos, museum complex, archeology, Byzantine style, axial compositions, functional and planning features

There is often a need to analyze unstructured data when assessing the risk of emergency situations. Traditional analysis methods may not take into account the ambiguity of information, which makes them insufficiently effective for risk assessment. The article proposes the use of a modified hierarchy process analysis method using fuzzy logic, which allows for more effective consideration of uncertainties and subjective assessments in the process of analyzing emergency risks. In addition, such methods allow for consideration of not only quantitative indicators, but also qualitative ones. This, in turn, can lead to more informed decisions in the field of risk management and increased preparedness for various situations. The integration of technologies for working with unstructured data in the process of assessing emergency risks not only increases the accuracy of forecasting, but also allows for adapting management strategies to changing conditions.

Keywords: artificial intelligent systems, unstructured data, risk assessment, classical hierarchy analysis method, modified hierarchy analysis method, fuzzy logical inference system

The article publishes the results of the research work devoted to the analysis of architectural and spatial elements of the ancient city. Various types of public buildings in the structure of the Greek polis are considered. A brief description of their spatial and architectural features is given. The consistent evolution of these structures from simple forms of the Archaic era to more complex planning solutions in the Hellenistic era is traced - the time when the theoretical and practical skills of architects found their highest expression.

Keywords: architecture of Ancient Greece, architectural and spatial elements of the Greek polis, public buildings in the structure of the polis

The article considers the causes of the formation of defects to be evaluated. The methods of obtaining information about the condition of metal corrugated pipes are presented. The main defects arising during the operation of metal corrugated pipes are shown. The most effective methods of assessing the condition of metal corrugated pipes have been determined.

Keywords: corrugated metal pipes, wear, durability, defects, factors, evaluation

In systems for monitoring, diagnostics and recognition of the state of various types of objects, an important aspect is the reduction of the volume of measured signal data for its transmission or accumulation in information bases with the ability to restore it without significant distortion. A special type of signals in this case are packet signals, which represent sets of harmonics with multiple frequencies and are truly periodic with a clearly distinguishable period. Signals of this type are typical for mechanical, electromechanical systems with rotating elements: reducers, gearboxes, electric motors, internal combustion engines, etc. The article considers a number of models for reducing these signals and cases of priority application of each of them. In particular, the following are highlighted: the discrete Fourier transform model with a modified formula for restoring a continuous signal, the proposed model based on decomposition by bordering functions and the discrete cosine transform model. The first two models ideally provide absolute accuracy of signal restoration after reduction, the last one refers to reduction models with information loss. The main criteria for evaluating the models are: computational complexity of the implemented transformations, the degree of implemented signal reduction, and the error in restoring the signal from the reduced data. It was found that in the case of application to packet signals, each of the listed models can be used, the choice being determined by the priority indicators of the reduction assessment. The application of the considered reduction models is possible in information and measuring systems for monitoring the state, diagnostics, and control of the above-mentioned objects.

Keywords: reduction model, measured packet signal, discrete cosine transform, decomposition into bordering functions, reduction quality assessment, information-measuring system

In operational diagnostics and recognition of states of complex technical systems, an important task is to identify small time-determined changes in complex measured diagnostic signals of the controlled object. For these purposes, the signal is transformed into a small-sized image in the diagnostic feature space, moving along trajectories of different shapes, depending on the nature and magnitude of the changes. It is important to identify stable and deterministic patterns of changes in these complex-shaped diagnostic signals. Identification of such patterns largely depends on the principles of constructing a small-sized feature space. In the article, the space of decomposition coefficients of the measured signal in the adaptive orthonormal basis of canonical transformations is considered as such a space. In this case, the basis is constructed based on a representative sample of realizations of the controlled signal for various states of the system using the proposed algorithm. The identified shapes of the trajectories of the images correspond to specific types of deterministic changes in the signal. Analytical functional dependencies were discovered linking a specific type of signal change with the shape of the trajectory of the image in the feature space. The proposed approach, when used, simplifies modeling, operational diagnostics and condition monitoring during the implementation of, for example, low-frequency diagnostics and defectoscopy of structures, vibration diagnostics, monitoring of the stress state of an object by analyzing the time characteristics of response functions to impact.

Keywords: modeling, functional dependencies, state recognition, diagnostic image, image movement trajectories, small changes in diagnostic signals, canonical decomposition basis, analytical description of image trajectory

Spatially distributed automated information systems have become an integral part of modern organizations. They are used in various spheres, including medicine, energy, finance, communications and governance. The number of information security incidents is increasing every year. The purpose of this study is to increase the efficiency of measures taken to plan and implement responses to information security incidents. Analysis and synthesis of available publicly materials were applied as research methods. The results of analysis of modern spatially distributed automated information systems and specifics of information security incidents response are presented in the article. The examples of spatially distributed automated information systems that used in different countries around the world are presented. The models of work organization of support teams (response team), including centralized, follow-the-sun and hybrid are presented. The factors that should be taken into account when planning and implementing measures of information security incidents response are proposed: used model for organization the work of response team; number of used independent communication channels; recovery time objective; recovery point objective; limitations of the response area in automatic mode.

Keywords: response measure, response team, cyber attack, computer network, communication channel

The article discusses the issues of organizational and technological approaches in the design of facilities to be reconstructed. During the operation of buildings, the reliability of their structures is subject to cyclical changes. The dynamics of loads, as well as damage resulting from operation, can have a significant impact on the strength and durability of construction facilities. The reasons for the technical inspection during reconstruction are analyzed. The diagnosis of structural failure is analyzed. In most cases, emergencies are the result of missed errors at the design stage of the project, construction of the construction site and its operation. To minimize such risks, additional measures are being implemented aimed at quality control at all stages - from design to commissioning. A number of conditions have been identified under which most defects in the design and operation of structures can be prevented even at the stage of development of the reconstruction project.

Keywords: reconstruction, construction and technical expertise, reliability, organizational and technological solutions, defects, quality control, efficiency

The article solves the problem of automated generation of user roles using machine learning methods. To solve the problem, cluster data analysis methods implemented in Python in the Google Colab development environment are used. Based on the results obtained, a method for generating user roles was developed and tested, which allows reducing the time for generating a role-based access control model.

Keywords: machine learning, role-based access control model, clustering, k-means method, hierarchical clustering, DBSCAN method

Based on the analysis of scientific data, the influence of the kinematics and geometry of the bit profile reinforced with diamond cutting elements on the process of directional drilling is investigated and technological problems affecting its effectiveness are highlighted. Optimal configurations for cutting elements have been developed. The geometric parameters of the front angle-β and the cutting angle-δ have been established, ensuring the destruction of the rock with the least effort. The rational location of the cutting elements on the side and working surfaces of the bit is substantiated. The expected result is an increase in the mechanical speed of penetration and an extension of the tool life.

Keywords: directional drilling, chisel, axial load, cutting elements, superhard material, cutting angle, front angle, chipping, crushing

This article provides a comparative analysis of various methods for filtering a signal obtained using a spectroradiometer. The following filtering methods were used in the study: moving average method, spline interpolation method, and Savitsky-Golay method. An Ocean Insight SR-2XR250-25 spectroradiometer was used as a spectral radiation receiver, and a white LED was used as a radiation source. Based on the results of the study, the most optimal filter for processing the results of spectral measurements of light sources was determined, which will be further used in the software of the goniospectroradiometer being developed.

Keywords: spectral density of radiation, spectroradiometer, radiation receiver, radiation source, signal filtration methods