The paper presents a solution to the problem of accelerating the process of visualizing the results of numerical simulation. The volumes of such data can be very large and the development of tools to speed up the process of analyzing modeling results is an urgent task. This article proposes a solution to the problem based on the development of a set of programs that automate the process of processing large-volume scientific data of the same type to create high-quality visualizations of the results of numerical modeling. The results are presented using the example of solving problems in astrophysics, but the proposed methodology can be quite easily applied to other subject areas in which models based on the dynamics of particle systems are used. The research described in the work is devoted to solving issues related to converting data obtained from numerical modeling into a format that can be read by the ParaView softwart, which implements many methods that allow obtaining very high-quality visualization. The work also describes the process of automating batch processing of a large amount of data that has the same structure, presents the results of an analysis of the acceleration of the visualization process when using the NVIDIA IndeX plug-in, and considers the possibility of improving the quality of visualization results when applying Delaunay triangulation to the original data.

Keywords: data visualization, Delaunay triangulation, rendering acceleration, ParaView, NVIDIA IndeX, VTK

The article discusses proposals for improving the use of discharge-pulse technology in the construction of boron-injection piles and camouflage widenings of bored piles with diameters of more than 300 mm. The application of voltages on the electrode system of a pulse current generator from 10 to 50 kV and an electric capacity of about 300 UF is considered. It has been found that in the case of using a relatively low voltage on the electrodes and an increase in the electrical capacity of the capacitor bank, the duration of the shock wave pressure on the ground increases several times. This contributes to a more intensive penetration of the liquid hardening material into the intergranular space of the near-well soil massif. It is proposed to use solutions using slag-alkali binders as a hardening material in the formation of boron-injection piles. Such solutions have greater fluidity compared to cement solutions and, when hardened, form a stone with greater strength and density. The article presents data from experimental studies confirming the increased strength (R = 130 MPa) and frost resistance of a solution prepared on slag-alkali binders, as well as data on determining their corrosion resistance to various aggressive media contained in groundwater. The possibility of stable breakdown of the interelectrode gap in aqueous solutions of slag-alkali media of various consistencies has been established, optimal energy parameters of the discharge have been determined for maximum effect of fixing the soils of the foundations.

Keywords: foundations, drilling piles, discharge-pulse technology, slag-alkali binders

Destructive information in text is widespread and dangerous for children and teenagers as well as for adults. Current methods of searching destructive information in text: “keyword search”, “reverse document frequency method” have a number of disadvantages that can cause false positives, which reduces the accuracy of their work. In this article we consider a new developed method of searching destructive information in text, which is used in Python module. This method utilizes Spacy, pymorphy3 libraries which allows us to examine the sentence in detail and delve into its meaning. The developed method reduces false positives and thus increases the efficiency of its use. The paper shows the schemes of sentence parsing, the algorithm of the new method, as well as figures demonstrating its work. The comparative analysis of the new method with analogs is shown.

Keywords: Spacy, disruptive content, information security, TF-IDF, keyword search, pymorphy3, Net Nanny, CyberPatrol, Oculus, child protection

Images on web-sites, social networks, computers may contain destructive content and pose a threat to the psyche of a child or adolescent. Conventional image classification does not always classify it correctly and accordingly has a number of drawbacks due to which there can be false positives, which reduces the accuracy of classification. The paper presents a method in Python module that can detect malicious content in images. The method described in the paper is based on the use of Yolov8 library, which provides good classification of images and further analysis. Using the developed method it was possible to reduce the number of false positives, which led to an increase in its efficiency. The paper shows the scheme of operation of the new method, as well as demonstrated the search for objects in images. Similar programs are considered and their comparative analysis with the developed method is carried out.

Keywords: Spacy, disruptive images, information security, pymorphy3, ultralytics, disruptive text, disruptive content, YoloV8, child safety, benchmarking, digital hash

This article discusses the results of studies of the behavior of reinforced concrete slabs during punching. The parameters affecting the shear strength of the joints of columns and slabs are considered. Studies of the influence of the strength of concrete, the location of reinforcement, the reinforcement coefficient, the shape and size of the column are given. Various types of reinforcement of reinforced concrete slabs in the punching zone are presented.

Keywords: floor slab, column, punching, shear, bending, transverse reinforcement, dowel action

The possibility of detecting false positive cybersecurity incidents using deep learning models - GRU, Bidirectional LSTM (Bi-LSTM), LSTM - has been studied. The results obtained demonstrate the effectiveness of solving the problem for Powershell scripts. The Bi-LSTM model showed the best classification results, demonstrating an accuracy of 98.50% on the test sample.

Keywords: machine learning, classification, cybersecurity, deep learning, Powershell

The process of creating an aggregated digital twin for a physical prototype of a manipulator with a load-gripping mechanism is considered. To solve the problem of controlling the system nodes, the freely distributed software platform Robot Operating System (ROS) was used, in particular, the MoveIt packages for manipulator control, OpenCV for computer vision and RViz for visualization. A description of the physical prototype and the stages of creating a model of the robotic complex in the form of URDF files is given. The developed system creates a level of abstraction between hardware and software, which allows exploring new technological solutions in the field of automation of processes of transport and cargo systems.

Keywords: machine vision, robotics, digital twin, control system, manipulator, ROS

This article examines models of arithmetic devices for finite ring neural networks of the second and third orders. The arithmetic devices under study were synthesized on the basis of FPGA. Estimates of hardware costs and performance of computers for system modules of residual classes of different capacity were obtained. The structure of a finite ring neural network with dynamic connections is proposed, the efficiency of which in terms of hardware costs is observed with increasing capacity of the residue number system module. The advantage of a finite ring neural network with dynamic connections is established for modules with a capacity of 64 bits and higher.

Keywords: neural networks, residue number system, group of elliptic curve points, FPGA, multiplier, adder

The paper describes the process of modeling 3D structures of synthetic gas burners, with the analysis of the simulation results obtained for several types of models and the selection of optimal modes for them. The main use of the burner is planned for boiler equipment for household needs in private as well as apartment buildings, in the absence of central heating. In addition, the article provides a justification for the thermal parameters at the inlet and outlet of the burner.

Keywords: synthesis gas, combustion, design parameters, combustion chamber, nozzle, modeling

The production of nitrogen from air using membrane gas separation processes is widely used in many industries. The problem of controlling the gas separation process is associated with multi-loop control using control of several variables. To build a model of a gas separator, a detailed analysis of the gas separation process was carried out in this work. This article proposes a fuzzy logic controller used to match pressure fluctuations and air flow of a gas separator. The performance of the proposed controller was evaluated in comparison with traditional controllers. The proposed fuzzy logic controller makes it possible to increase the accuracy of the gas separation control system and reduce the duration of transient processes.

Keywords: fuzzy logic, controller, gas separation, membrane technology, nitrogen, control system

The article is devoted to applied issues of improving regional security management processes through the development of methods for analyzing data on emergency situations. In order to identify patterns in the occurrence of emergency situations, multidimensional methods of processing statistical data were used. A multidimensional classification of data in the field of emergency situations based on fuzzy logic is proposed. The classification was performed using a fuzzy inference system with clear membership functions. As statistical data, data on emergency situations of a man-made, natural and biological-social nature that occurred in the federal districts of Russia in 2020, including data on dead and saved people, were considered. An analysis of data samples on regional emergency situations was carried out according to 5 criteria, and clustering of regions was carried out.

Keywords: emergency situations, fuzzy multidimensional clustering, fuzzy logic, fuzzy inference system, computer program, mathematical model, forecasting, decision making

The article discusses the issues of 3D-printing and reinforcement of concrete mix with an automated reinforcement integration system, analyzes the effect of the mixture on the dynamics of the construction printer. During the work of the construction 3 D-printer, data was obtained from the accelerometer in the form of graphs of the oscillation frequency of the construction printer, which characterize the main operating parameters. The valve feed was arranged in such a way as to ensure application with virtually no stress. A roller feeder for the rear of the nozzle has been developed for this purpose. Experimental curves of force dependence on displacement for 40 × 40 mm samples with reinforcement reinforcement are presented.

Keywords: construction 3D printer, concrete mix, vibration pattern, accelerometer, reinforcement integration

The creative function of architecture is characterized primarily by practical and creative display, impact, redefinition, organization the available space: from settlement systems to individual architectural objects. At the beginning of the 21st century, architectural activity again finds itself in a turning point, in connection with the information revolution, the active development at the post-industrial society and globalization, which accompany and force a shift in the main paradigms in the architectural styles of the past century. The conditions of global information, technological and cultural integration create the need to change the logic for traditional (classical) techniques at the formation an architectural space. The purpose of the research is to analyze the possibilities at the peculiarities for applying traditional and innovative techniques and means in implementing creative ideas for the results of architectural activity. The research hypothesis includes the assumption that it is necessary to integrate modern capabilities, primarily in the field information (digital) technologies into creative activities to form an architectural space of various sizes and purposes. As a result of the research, areas of rational application of traditional and innovative methods of organizing architectural space were identified.

Keywords: diversification of management, production diversification, financial and economic purposes of a diversification, technological purposes of ensuring flexibility of production

A new approach to increasing the efficiency of extreme control systems by improving the method of searching for the extremum of the objective function is presented. In its multidimensional nonlinear optimization, instead of a traditional linear search along a once selected direction, an exploratory search is used, the direction of which at each step is adapted to the topology of the objective function. This makes it possible to localize an extremum as quickly as possible and significantly reduce the time of its determination. An algorithm for interpolation search for an extremum in the found interval is proposed. The objective function is modeled by a cubic spline segment based on information about its gradient vector at the boundary points of the interval, as a result of which the number of interpolation search steps is significantly reduced. The possibility of simplified nonsmooth interpolation using first-order splines in the extremum region is considered. The results of a numerical experiment confirm the high efficiency of the new method in solving various problems.

Keywords: extremal control systems, nonlinear optimization, acceleration of extremum search, quasi-Newton method, polynomial interpolation, non-smooth interpolation

In this experiment, a solver (NEAT) and a simulator (an inverted pendulum cart object) are implemented, where the solver will influence the object in order to keep it in a stable state, i.e. don't let the pendulum fall. The main objective of the experiment is to study the possibility of implementing a simulator of a real physical object and use it to determine the target function of the neuroevolutionary algorithm NEAT. Solving this problem will make it possible to implement controllers based on the NEAT algorithm, capable of controlling real physical objects.

Keywords: machine learning, non-revolutionary algorithms, genetic algorithms, neural networks