The purpose of this work is to analyze the concept of the threat of ransomware, methods of their detection, as well as to consider methods of intelligent analysis in solving the problem of detection, which are a popular tool among researchers of ransomware and malicious software (malware) in general. Data mining helps to improve the accuracy and speed up the malware detection process by processing large amounts of information. Specialists can identify new, previously unknown malware. And with the help of generative adversarial networks, zero-day malware can be detected. Despite the fact that a direct and objective comparison of all the studies presented in the work is impossible, due to different data sets, it can be assumed that using the architecture of generative-adversarial networks is the most promising way to solve the problem of detection.

Keywords: malware, ransomware, intelligent analysis, machine learning, neural network, generative adversarial network

This article analyzes the main causes of fatal injuries in the construction industry of the Russian Federation and a number of other foreign countries, including falls from heights, electric shock, injuries associated with the use of construction machinery and mechanisms, as well as exposure to harmful substances. In conclusion, the article highlights the importance of joint efforts by employers, employees and regulators to create a safer and healthier work environment in the construction industry. The implementation of the preventive measures described in the article can significantly reduce the risk of accidents and improve the well-being of employees.

Keywords: construction industry, industrial injuries, accidents, causes of injuries, working conditions, occupational risks, working at height, occupational safety, environmental factors, workplace organization, training

Reinforced concrete is the most common material in construction, this is due to its high performance and consumer characteristics. Despite a number of its positive characteristics, concrete has a negative property, its hygroscopicity. In the structure of concrete is a large number of micropores, cracks and capillaries, which contribute to the spread of moisture throughout the structure. This leads to the destruction of concrete, corrosion of reinforcement. Waterproofing is an important aspect of building construction and maintenance. It helps prevent moisture damage that leads to costly repairs and structural failure over time.

Keywords: concrete waterproofing, waterproofing system, polymer membrane, geocomposite fabric, liquid waterproofing membrane, penetrating waterproofing

Nowadays, the Internet has become an integral part of our lives, providing access to a huge amount of information and services. However, along with this, the number of destructive Internet resources that can harm users, especially children and adolescents, is growing. In this regard, there is a need to create an effective system for regulating access to such resources. The article presents an expert system for regulating access to destructive Internet resources, developed on the basis of modern technologies and methods of artificial intelligence. The system allows to automatically detect and block access to resources containing malicious content, as well as provides an opportunity for manual configuration and access control. The article describes the main components of the system and presents images demonstrating the work of the system for blocking access to destructive resources. The article will be useful for specialists in the field of information security, artificial intelligence and protection of children from malicious content on the Internet.

Keywords: destructive content, expert system, information security, Internet resources, SpaCy, Keras, RNN, LSTM, PyQt5, vectorization

In this article, we consider the system of quality management of legislation in the Russian Federation: we define its basic elements, the main tools for quality control (management) in the form of legal examinations, provide a generalized algorithm for quality assessment, propose a simple general classification of controlled factors in legal examinations, and introduce the concept of a bill readiness indicator. The most important legal examination - anti-corruption (ALE) - was chosen as an example for conducting quality control of legislation. Within the framework of general trends in automation, informatization, and digitalization, we considered the use of artificial intelligence (AI) for the purposes of conducting ALE, which, in some cases of "routine work", could provide all possible assistance to specialists in the field of legal examinations and their digitalization. In this regard, a step-by-step algorithm for pre-training AI was formulated using examples from regulatory legal acts (RLA) containing corruption factors (CF); a classification of CF was carried out; a scale of AI errors in detecting CF was developed; frequency characteristics of AI errors were determined; Preliminary conclusions were obtained on the possibility of using AI in AEC.

Keywords: artificial intelligence, corruption factor, anti-corruption expertise, normative legal act, corruption factor indicator, pre-training, algorithm, errors, frequency distribution, classification, dialogue.

This article is devoted to the development of a collision detection technique using a polygonal mesh and neural networks. Collisions are an important aspect of realistically simulating physical interactions. Traditional collision detection methods have certain limitations related to computational accuracy and computational complexity. A new approach based on the use of neural networks for collision detection with polygonal meshes is proposed. Neural networks have shown excellent results in various computer vision and image processing tasks, and in this context they can be effectively applied to polygon pattern analysis and collision detection. The main idea of ​​the technique is to train a neural network on a large data set containing information about the geometry of objects and their movement for automatic collision detection. To train the network, it is necessary to create a special module responsible for storing and preparing the dataset. This module will provide collection, structuring and storage of data about polygonal models, their movements and collisions. The work includes the development and testing of a neural network training algorithm on the created dataset, as well as assessing the quality of network predictions in a controlled environment with various collision conditions.

Keywords: modeling, collision detection techniques using polygonal meshes and neural networks, dataset, assessing the quality of network predictions

Анализируется методика определения напряженно-деформированного состояния металлических опор линий электропередач при технической экспертизе объектов электросетевого хозяйства. Даётся пример расчета с использованием автоматического программного комплекса ЛИРА. Определяется наиболее напряженные участки конструкций. Расчётным способом подтверждается гипотеза о том, что трехгранное поперечное сечение траверсы портальной промежуточной опоры ВЛ 500 кВ экономичнее (эффективней) чем четырехгранное (классическое) поперечное сечение.

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

Information technologies are used in all spheres of modern society. Databases and document flow in organizations must be clearly organized, streamlined, and the interconnected work of company departments and services must be ensured to collect and process information flows and make effective management decisions. The article reflects the place of the stages of planning and designing information technologies and methods of their development in the algorithm for forming the strategy of an organization's IT project. Approaches to the formation of automated workplaces are shown using the example of the organizational and managerial structure of an enterprise. The services and departments of the organization responsible for planning, accounting, analysis and control of its financial results have been identified, which led to the conclusion about the directions for improving the quality of IT project development.

Keywords: information system, IT project, planning, design, modeling, automated workstations

The problem of planning the sending of messages in a cellular network to destinations with known needs is considered. It is assumed that the costs of transmitting information on the one hand are proportional to the transmitted volumes and the cost of transmitting a unit of information over the selected communication channels in cases of exceeding the traffic established by the contract with the mobile operator, and on the other hand are associated with a fixed subscription fee for the use of channels, independent of the volume of information transmitted. An indicator of the quality of the plan in this setting is the total cost of sending the entire planned volume of messages. A procedure for reducing the formulated problem to a linear transport problem is proposed. The accuracy of the solution obtained on the basis of the proposed algorithm is estimated.

Keywords: single jump function, transport problem, minimum total cost criterion, computational complexity of the algorithm, confidence interval

The possibility of using expanded perlite dust (RUNWAY) in cement binder systems is being considered. A method for modifying the binder by joint mechanical activation of Portland cement, alumosilicate waste and hyperplasticizer is presented. The physico-chemical features of the modified runway make it possible to regulate the processes of hydration, phase formation, as well as the formation of the structural matrix of the composite. The compressive strength of the binder using RUNWAY as an active mineral additive increases by 36% with a decrease in density.

Keywords: technogenic raw materials, perlite, binder, dispersion, modification, mechanical activation, hydration, structure formation, phase formation, resource conservation

This work is devoted to the study of the possibility of determining heart diseases on the basis of 13 categorical and numerical signs. We present a detailed analysis of the dataset, including dividing the data into training and test samples, dividing features into numerical and categorical, applying 4 different classification algorithms, checking the quality of the model using two techniques – delayed sampling and cross-validation. To assess the quality of the model, we pay attention to the value of the recall metric and the error matrix built on the test dataset from the deferred sample or on each test fold when using cross-validation. The results of the study are important both for a deep understanding of the relationship between certain medical indicators and heart disease, and for the development of effective methods for predicting them in the presence of individual symptoms.

Keywords: cardiovascular diseases, classification task, quality metrics, cross-validation, recall, machine learning, random forest

One of the most important points in increasing the conversion component of a web resource is identifying the most attractive places for the site user. To identify these locations, a site user activity data visualization tool was created that provides a visual representation of each user action on a site page.

Keywords: heat map, site, oculograph, fixation, priority area

This paper analyzes the performance of solving the classification problem using various open-source artificial intelligence and machine learning libraries in the field of marketing and customer relationship management; based on the results of experiments, the best library is selected for the purpose of introducing artificial intelligence into domestic CRM systems based on numerical performance indicators.

Keywords: artificial intelligence, machine learning, big data, classification, marketing, customer relationship management, import substitution, open source

The article contains the methodology and results of theoretical and experimental studies of the stress-strain state of a conical radial-beam dome with triangular shell elements. The results obtained by various methods are analyzed and compared. The triangular membrane panel is part of the radial beam dome structure and consists of a support frame and a steel membrane in the shape of a triangle. The shape of the triangle forming the membrane panel can be different and depends on the number of ribs in the radial beam dome. The supporting contour is a compressed-bending element of the dome and is made, as a rule, from a rolled steel profile with a channel section. The membrane is made of thin steel sheet and attached to the upper flange of the channel with self-tapping screws or spot welding. To assess the strength and deformability of a steel membrane sheet, its operation under the action of a uniformly distributed snow load, an unevenly distributed snow load and a concentrated installation load was considered. Several options for nonlinear static calculations in various computer systems are shown.

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

The issues of atmospheric pollution, including noise pollution, are considered. The dependences of the concentration of carbon monoxide at distances from the roadway at different directions and speeds of the wind flow obtained according to MRR-2017 are presented. The influence of motor transport on the condition of the air basin and the health of the urban population is considered. The levels of noise pollution in the main-line territories of Volgograd, as well as the main pollutants in the atmospheric air of the main-line territories, are considered. The dispersion of CO concentration at different wind speeds at different angles of wind direction to the road and traffic noise levels depending on the days of the week, time of day, and traffic flow intensity are considered.

Keywords: wind flow direction and speed, roadway, atmospheric air, mainline territories, traffic noise levels, carbon monoxide concentration, vehicle fleet, cargo flow