Automating government processes is a top priority in the digital era. Because of historical development, many existing systems for registering and storing data about individuals coexist, requiring intervening IT infrastructures. The article considers the procedure for the development, creation and implementation of software for updating and generating data about residents of the city of Astana. It defines the functional capabilities and determines the role of the information system in automation and monitoring government activities. The authors conducted the study by observing, synthesizing, analyzing, systematizing, and classifying the data received. The authors used scientific works of local and foreign authors on the topic under study and open databases as sources of literature. At the end of the work, the authors list the literature used. The authors have, for the first time, created the structure and algorithms of the information system known as ""Population Database ""Geonomics"". Specifically, they have developed the mechanism and algorithm for the interaction of the ""Geonomics"" information system with government databases. As well as, additional opportunities for using the software have been identified by developing an algorithm for planning and placing social objects when using the information system ""Geonomics"". The authors have concluded that the algorithms developed for the use of the information system ""Population Database “Geonomics"" represent a reliable and powerful tool, which plays a critical role in the optimization and automation of processes related to population accounting and urban infrastructure management. This software contributes to the development of the city and the improvement of its residents' quality of life, based on up-to-date and reliable information. In addition, the developed algorithm allows for real-time monitoring of the current data of city residents and their density, based on which decisions can be made regarding the construction and placement of social facilities for the comfortable service and living of city residents.

Keywords: automation, updating, government activities, government agency, information system, database

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

A complex dynamic system is defined by a structurally invariant operator. The operator structure allows formulating problems of stabilizing program motions or equilibrium positions of a complex dynamic system with constraints on state coordinates and control. The solution of these problems allows synthesizing a structurally invariant operator of a complex dynamic system with inequality-constraints on the vector of locally admissible controls and state coordinates. Computational experiments confirming the correctness of the synthesized structurally invariant projection operator are performed.

Keywords: structurally-invariant operator, stabilization of program motions, complex nonlinear dynamic system, projection operator, SimInTech

The article discusses the planning and commissioning of an autonomous field located on permafrost. Most of the oil and gas fields are located in permafrost areas. The development of such deposits is costly, as it creates the need to prevent the thawing of permafrost. Commissioning works are the final stage of construction and installation works. The CW is difficult in conditions of permafrost. In permafrost conditions, problems may arise with starting the installed equipment.

Keywords: commissioning, permafrost, field, installation, drilling, oil industry, oil and gas industry, project, freezing, maintenance

Blurred frames pose a significant problem in various fields such as video surveillance, medical imaging and aerial photography, when solving the following object detection and identification, image-based disease diagnosis, as well as analyzing and processing data from drones to create maps and conduct monitoring. This article proposes a method for detecting blurred frames using a neural network model. The principle of operation of the model is to analyze images presented in the frequency domain in the Hough space. To further evaluate the effectiveness of the proposed author's solution, a comparison was made of existing methods and algorithms that can be used to solve the problem, namely the Laplacian method and the manual sampling method. The results obtained show that the proposed method has high accuracy in detecting blurred frames and can be used in systems where high accuracy and clarity of visual data are required for decision-making.

Keywords: blurred frames, motion blur, blur, Hough transform, spectral analysis

During the production of delicatessen canned fish, the control system should ensure a gentle heat treatment regime with a decrease in the degree of temperature exposure to the product. Changing the modes requires reconfiguration of the type and parameters of temperature regulators in the autoclave, carried out based on the results of processing modeling. The software complex for modeling the object and control system during pasteurization provides for calculating the degree of sterilizing effect. The complex contains system and application softwares. The application modules implement the functions of a graphical interface, a virtual controller, numerical simulation of product temperature changes and data transmission. The virtual controller allows select controllers: positional, proportional-integral-differential, and states. The novelty of the model lies in the display and the possibility of changing both the parameters of the regulator and the coefficients of the desired polynomial, taking into account the sign of the derivative of temperature during heating and cooling. The practical value of the work is to reduce the time for reconfiguring the autoclave control system, ensuring a reduction in the degree of temperature exposure when a given sterilizing effect is achieved by selecting the type and parameters of temperature control rules.

Keywords: software complex, modeling, control system, pasteurization, canned fish, regulator, temperature

Modern simulation model design involves a wide range of specialists from various fields. Additional resources are also required for the development and debugging of software code. This study is aimed at demonstrating the capabilities of large language models (LLM) applied at all stages of creating and using simulation models, starting from the formalization of dynamic systems models, and assessing the contribution of these technologies to speeding up the creation of simulation models and reducing their complexity.The model development methodology includes stages of formalization, verification, and the creation of a mathematical model based on dialogues with LLMs. Experiments were conducted using the example of creating a multi-agent community of robots using hybrid automata. The results of the experiments showed that the model created with the help of LLMs demonstrates identical outcomes compared to the model developed in a specialized simulation environment. Based on the analysis of the experimental results, it can be concluded that there is significant potential for the use of LLMs to accelerate and simplify the process of creating complex simulation models.

Keywords: Simulation modeling, large language model, neural network, GPT-4, simulation environment, mathematical model

The article discusses the application of neural network autoencoder in the problem of monochrome image colorization. The description of the network architecture, the applied training method and the method of preparing training and validation data is given. A dataset consisting of 540 natural landscape images with a resolution of 256 by 256 pixels was used for training. The results of comparing the quality of the outputs of the obtained model were evaluated and the average coefficients of metrics as well as the mean squared error of the VGG model outputs are presented.

Keywords: neural networks, machine learning, autoencoder, image quality analysis, colorization, CIELAB

The article analyses the current state of automated control systems for street lighting: advantages and disadvantages, problems faced by manufacturers and operators of such systems. The article describes the basic principles of automated control systems, such as the use of motion sensors, light sensors and communication technology to optimise the operation of street lighting. The article also discusses the features and problems of designing street lighting based on automated lighting control systems, and possible problems associated with their implementation and operation.

Keywords: lighting control, digital twin, automation, sensor, light sources, LED lighting fixture

The article provides a brief description of the existing methods of vectorization of texts in natural language. The evaluation is described by the method of determining the similarity of words. A comparative analysis of the operation of several vectorizer models is carried out. The process of selecting data for evaluation is described. The results of evaluating the performance of the models are compared.

Keywords: natural language processing, vectorization, word-form embedding, semantic similarity, correlation

The article offers a variant of the development of lighting design projects for outdoor architectural lighting. Based on the modeling of light distribution in the DIALux 4.13 program, brushes have been created using specific lighting devices that simulate lighting effects from real lighting devices. A variant of the sketch of outdoor architectural lighting using Adobe Photoshop has been created with the implementation of local lighting techniques using the example of a drama theater building. Using a three-dimensional model of the object, a light design project was created in the DIALux EVO program. The proposed method of creating sketches is useful in professional activities related to the development of sketches of lighting design projects based on their high-quality photographs without the need to develop three-dimensional models, for conceptual proposals of fragments of the urban light environment and landscape territories. Having developed a base of brushes (based on real light distributions of lighting devices), it is possible to create sketches of architectural lighting of buildings that implement various lighting techniques.

Keywords: adobe photoshop, dialux 4.13, dialux evo, sketch, brush, building facade, outdoor architectural lighting, lighting effect, lighting technique, architectural lighting concept

As the space industry accelerates the trend to reduce development and production costs and simplify the use of space hardware, small spacecraft, including CubeSats, have become popular representatives of this trend. Over the last decade, the development, production and operation of small spacecraft has become in demand because of a number of advantages: simplicity of design, short design and production times, and reduced development costs. The main problem in the design of CubeSats is their miniaturisation. This paper presents the results of the development of the optical cell of collecting and processing video information for remote sensing systems of the CubeSat 3U format satellite, with the aim of obtaining the maximum possible image characteristics, taking into account the strict physical limitations of the CubeSat unit. In the course of the work, using computer-aided design systems Altium Designer and Creo Parametric, the structural diagram, electrical circuit diagram, topology, 3D model, as well as the design of the housing of the cell of collection and processing of video information were developed. PCB size: 90x90 mm, PCB thickness: 1.9 mm, number of PCB layers: 10, accuracy class: 5, cell height: 20 mm, cell weight: 110 grams.

Keywords: space hardware, Earth remote sensing, small spacecraft, nanosatellite, printed circuit board, small satellite development trend, printed circuit board topology, CubeSat

In the process of ensuring information security, an important element is the protection of data from malicious influence. One of the stages of protection is to identify the source of the threat. The source of the threat may be the attacker himself, acting through his own user profile. Detecting and identifying a malicious profile in this case is a key element of building protection. In the context of user profiling, well-researched systems are social networks. Learning Management Systems (LMS), despite their similarity to social networks, remain devoid of scientific attention. Due to the similarity with social networks and the increasing introduction of learning management systems into information structures, this type of system is becoming a vulnerable point. There are several approaches and methods for detecting malicious activity, including statistical methods, machine learning methods, and rule-based methods. Our proposed approach combines a rule-based system with machine learning algorithms to improve the accuracy of detecting malicious activity. A rule-based system provides a detailed view of potential anomalies, while a machine learning algorithm provides a more detailed view of specific attacks. This paper highlights the aspects of determining malicious activity and user profiling in learning management systems and provides an example of one of the methods.

Keywords: information security, information system, social network, learning management system, user profiling, malicious behavior, classification

The paper presents the results of the survey of consoles of precast reinforced concrete columns of an industrial building under construction. The consequences arising from errors during the manufacture of columns, as well as the method of calculating the console are described. The survey was carried out in order to detect the position of the reinforcement in the consoles of reinforced concrete columns. When performing a survey of the technical condition, the following tasks were set: to determine the actual condition of the supporting structures, their mating nodes at the time of the survey, to establish the actual reinforcement of the structures, to give recommendations for the restoration (strengthening) of the bearing capacity of the column consoles.

Keywords: inspection, load-bearing capacity, concrete, column, reinforcement, strengthening

The paper presents the results of the survey of the reinforced concrete monolithic foundation of a ball mill with central unloading. The consequences of errors made during the construction of the foundation of machines with dynamic loads, as well as the foundation monitoring methodology, are described. The survey was carried out due to an increase in the vibration level of the equipment installed on the foundation and the detection of foundation defects in the form of cracks and chips in concrete. When performing the technical condition survey, the following tasks were set: to determine the actual condition of the supporting structure at the time of the survey, to establish the physical and mechanical characteristics of the materials of the structure, to indicate the characteristics and dimensions of damage sufficient to determine the volume of repair and restoration work, to develop recommendations for further safe operation of the structure.

Keywords: inspection, bearing capacity, foundation, dynamic load, concrete, reinforcement, strengthening