The paper presents a simulation of flight control of an unmanned aerial vehicle (UAV). A distributed control system is proposed that sequentially includes internal and external circuits to control the state of motion of the aircraft. The control efficiency of a cascade PD controller (proportional-differential) is higher than that of a traditional PID controller (proportional-integral-differentiating). A new cascade control algorithm with a PD controller is proposed. First, the dynamics of the UAV is modeled based on the Newton-Euler method, then the state of motion of the device is controlled by a distributed control system based on cascaded levels of proportional derivatives of the internal and external contours. The simulation results show that the controller, developed on the basis of proportional-derivative control speed of internal and external circuits, is able to achieve fast tracking of the position and orientation of the UAV in case of external disturbances and has good control quality. The developed algorithm has increased the control efficiency by 5-7% compared to the traditional PID algorithm.

Keywords: Unmanned Aerial Vehicle, PID controller, Cascade PD controller, Algorithm Optimization, UAV Control Algorithm

The article is devoted to the assessment of the strength of reinforced concrete elements with defects and damages. It examines the main types of defects (reinforcement corrosion, cracks, deformations, shrinkage, spalling of concrete, etc.), their causes, and consequences. The document also presents various calculation methods for evaluating the residual load-bearing capacity of structures, taking into account these defects, including formulas for assessing the impact of corrosion, cracks, and other damages on the strength of beams. It is noted that current methodologies primarily focus on analyzing a single type of defect, while a comprehensive approach to evaluating multiple damages requires further research. The research results can be useful for developing recommendations for the operation and repair of reinforced concrete structures, as well as for improving methods of assessing their safety during long-term use.

Keywords: strength, load-bearing capacity, damage, defect, crack, corrosion, degradation, experiment, reinforced concrete, beam

Steel hoisting ropes play an important role in metallurgical equipment, ensuring reliability and efficiency of lifting operations. One of the key features of their operation is the high level of contamination typical of metallurgical operations. Metallurgical processes are often accompanied by dust, metal chips and other abrasive particles that can significantly degrade ropes, causing wear and corrosion. To maintain the efficient operation of equipment it is necessary to monitor the condition of hoisting ropes in real time, which makes the task of improving automatic systems for monitoring the condition of ropes urgent. The paper reviews the methods of optical control of defects in hoisting steel ropes, the advantages and limitations of different approaches are considered. The aim of the work is to justify the effectiveness of the authors' developed method of analyzing rope defect images using neural networks in relation to the method based on the discrete Fourier transform. It is revealed that one of the most promising in terms of technical and economic efficiency of inspection methods is the application of vision system with image processing based on convolutional neural network technology, which allows to effectively detect defects in complex and changing operating conditions, such as metallurgical and mining production, where the background of the image may be non-uniform, and the distance between the camera and the rope varies.

Keywords: lifting ropes, vision systems, optical control methods, fast Fourier transform, hidden Markov models, convolutional neural networks

The article examines the research topic of non-stationary retail facilities in Gukovo. The relevance of this topic is due to the crisis state of the urban environment, the integration of small temporary buildings into the urban fabric of the city. Important integration factors are aesthetics, functionality, interaction with the environment, and innovation. The purpose of the study is to develop recommendations for the development of the NTO of the city of Gukovo, as an environmental system that performs the functions of updating and structuring the urban environment in the direction of implementing programs for the advanced development of former single-industry towns and improving their quality of life.

Keywords: non-stationary retail facilities, factors, innovative solutions, environmental systems, design code, single-industry town, models, architectural and design update

The article discusses the problem of the lack of regulatory requirements and methodological recommendations for choosing the type of hinged facade systems, depending on the cladding materials and architectural features of buildings and structures. In the course of the study, modern cladding materials for hinged facade systems were considered and their classification was compiled. The main criteria for choosing a facade system are determined, taking into account various factors such as architectural features and installation technology. The author substantiates the need to develop a methodology for choosing a facade system depending on the architecture of the building and the type of cladding material.

Keywords: hinged facade systems, cladding materials, choice of facade system, building architecture, facade design, modular facade systems, installation of facade systems

This article is devoted to the issues of implementation of automated control system of regional electric networks based on intelligent technologies. The significance of the issue under consideration is expressed in the fact that along with the development of technologies and their active use, electric loads in networks where large losses of electric power occur are increasing. Some issues of increasing the efficiency of production and consumption of energy resources at the regional level are considered. The main elements of the system approach to the analysis of the automated process control system of the regional energy system (APCS RES) are described. An example of the design and implementation of a pilot project for the introduction of intelligent technologies in the electrical networks of the Chechen Republic, in particular in the electrical networks of the city of Argun, is given. The most significant entities of the regional electric power industry are considered, which determine the process of functioning of the automated process control system of the power grid, as well as those that have or are capable of having an impact on the structure and process of functioning of the automated process control system of the power grid, where the degree of influence, situations and moments of influence for all the entities given are absolutely different. The conducted methodology of forming entities represents their dependence on each other to varying degrees.

Keywords: electricity metering, electrical network, intelligent technologies, automated process control system, regional energy system, electricity tariff

The paper addresses the problem of the technical diagnostics of hump control devices, such as wagon retarders. The current analytical methods of monitoring and technical diagnostics of wagon retarder conditions are reviewed. The factors that are used in the existing diagnostics systems are analyzed and new factors to be taken into account, including specific pathway peculiarities, wagon group lengths, breaking curve styles, initial wagon group speed and environment conditions, are suggested. The suggested set of factors are characterized from the point of regression analysis. The replacement of some continuous factors with lexical ones are suggested. Decision tree-based classificators are suggested to perform the classification of hump retarder conditions. The decision tree-based classificators can be built with the means of Data Mining on a training set. An improved method of building decision trees is suggested. It’s advantage over the existing algorithms is shown on evaluation sets.

Keywords: hump yard, wagon retarders, regression, decision trees, classification, data mining, multi-factor analysis, soft computations

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

Technical solutions aimed at preventing and eliminating the consequences of emergency situations in tunnel construction practice (in terms of laying utility lines or subways) are defined. Technical solutions are given taking into account their implementation in the conditions of structures under construction and in operation, characterized by a repeatable and predictable nature of occurrence.

Keywords: building structures, technology, repair work, underground utilities, tunnel, metro construction

This paper discusses the Viola-Jones algorithm for face detection and its implementation based on the STM32 microcontroller. The advantages of using embedded systems in implementing personal identification systems are given: low cost due to the reduction of the element base and low power consumption. The architecture of the hardware and software system for face detection based on a multi-core microcontroller is proposed. The following requirements are put forward for the implemented facial recognition system: processing frequency of not less than 1 frame per second, output in color format, display of faces in the form of rectangular frames on the frame, refusal to use external memory modules. Cascades and features used in the classical version of the Viola-Jones algorithm are described. MB-LBP is chosen as a feature due to the efficiency of calculation and storage within low-power embedded systems due to integer single-byte results. The structure of files of trained OpenCV classifiers is described and methods for their compression and conversion for use in 32-bit systems with limited RAM and the absence of a floating-point unit are proposed. A method for optimizing an integral image using overflow calculations is described. A multicriterial optimization problem for selecting optimal parameters of an integral image is formulated and solved using the gradient descent method. The application of SIMD instructions for parallelizing the calculation of an integral image on the STM32 is described. The results of measuring the operating time of the implemented system at different stages are presented, which confirm that the previously stated requirements are met.

Keywords: face detection, microcontroller, embedded systems, Viola-Jones algorithm, MB-LBP features, classifier optimization, integral image optimization, SIMD instructions

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.

The article presents a method for determining the stress-strain state of pile foundations for metal supports of power transmission lines during technical examination of power grid facilities in the Far North. An example of calculation using the LIRA automatic software package is given. The most stressed sections of structures are determined. The prospect of using CAD during technical examination of power grid facilities is proved.

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