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  • Use of Fuzzy Cognitive Models as an Organizational System Modeling Tool

    In this work, an approach is considered, which makes it possible to obtain scientific-based management decisions on the development of organizational systems. The purpose of the work is to show in a particular example the development of a fuzzy cognitive model development process, to analyze the model for sustainability, to determine the activation vertex complexes. The toolkit for describing and analyzing a fuzzy cognitive model is based on the basic concepts of fuzzy graph theory. Simulation results are given, directed to the development of possible scenarios for the development of situations of a socio-economic system of the Rostov region. The results are clearly illustrated by examples of fourteen scenarios, the matching of which to the main factors made it possible to determine a plurality of pessimistic and optimistic and to give recommendations to the face receiving the decision.

    Keywords: control, organizational system, cognitive model, simulation modeling, fuzzy graph, sustainability

  • The analysis of criteria for granting a mandate to an information security incident localization

    The number of information security incidents and the amount of damage caused by them are increasing every year. The relevance of information security incident response remains high. The primary response action is an information security incident localization. The purpose of this study is to reduce the time taken to localize detected information security incidents by information security incident response teams. The purpose is achieved by issuing and using a mandate for information security incident localization by orchestration tools and/or artificial intelligence systems in an automated mode. Analysis and synthesis of available publicly materials were applied as research methods. The results of the analysis and evaluation of different criteria applicability for granting a mandate to localize an information security incident in an incident response are presented in the article. A mandate is granted to orchestration tools and/or artificial intelligence systems to perform localization of an information security incident in an automatic mode, i.e., without the involvement of information security incident response team forces. In evaluation the applicability of various criteria for granting a mandate, unlike the known ones, the level of difficulty in determining values for the criteria in question by information security incident response team forces alone was assessed. Criteria and their values are defined, which, unlike the known ones, highlight the area for information security incidents localization in automatic mode.

    Keywords: response team, response area, response, automatic localization, orchestration, artificial intelligence

  • 3D printing technologies in construction. Experience of application and promising directions.

    The paper analyzes existing 3D printing technologies in the context of application in construction. The experience of 3D printing application in commercial projects is considered. Scientific research on the improvement of various technologies is summarized. 3D printing technologies promising for construction - wire-arc and ultrasonic additive manufacturing - are identified.

    Keywords: 3D printing, construction, additive technologies

  • A method for semantic segmentation of thermal images

    This paper presents the results of a study aimed at developing a method for semantic segmentation of thermal images using a modified neural network algorithm that differs from the original neural network algorithm by a higher speed or processing graphic information. As part of the study, a modification of the DeepLabv3+ semantic segmentation neural network algorithm was carried out by reducing the number of parameters of the neural network model, which made it possible to increase the speed of processing graphic information by 48% – from 27 to 40 frames per second. A training method is also presented that allows to increase the accuracy of the modified neural network algorithm; the accuracy value obtained was 5% lower than the accuracy of the original neural network algorithm.

    Keywords: neural network algorithms, semantic segmentation, machine learning, data augmentation

  • Adaptation of the dynamic time warping algorithm for the problem of finding the distance between two time series with periods of low value variability

    The dynamic time warping algorithm (DTW) is designed to compare two time series by measuring the distance between them. DTW is widely used in medicine, speech recognition, financial market and gaze trajectories analysis. Considering the classic version of DTW, as well as its various modifications, it was found that in the tasks of analyzing the distance between gaze trajectories, they are not able to correctly take into account the duration of its fixations on visual stimuli. The problem has not attracted much attention so far, although its solution will improve the accuracy and interpretation of the results of many experimental studies, since assessing the time of visual focus on objects is an important factor in visual analysis. Hence the need to adapt DTW for such tasks. The goal of this work is to adapt the classic DTW to the problem of finding the distance between two time series with periods of low variability of values. During the demonstration of the developed algorithm, it was proven that the effect of a given minimum threshold of fixation duration on the result is significant. The proposed adaptation of DTW will improve the quality of visual data analysis and can be applied to understanding the mechanisms of human perception and decision-making in various fields of activity, such as psychology and marketing, as well as to developing effective methods for testing interfaces.

    Keywords: dynamic time warping algorithm, eye tracking, time series, gaze trajectory, gaze fixation duration

  • Principles of organizing the maintenance of medical devices in clinical engineering departments

    The article shows the importance of the role of clinical engineering departments to ensure high-quality comprehensive control of the state of medical equipment at all stages of its life cycle. The main resource of such departments is the competence resource of clinical engineers and their working time resource. In order to rationalize the use of these resources, we systematized the causes of failures of medical devices. Based on this, a number of general metrics were developed that characterize the adaptability of clinical engineering departments to the conditions of a specific medical institution, such as the competence profile of the department and the profile of the need for technical maintenance of medical devices. The use of these data made it possible to formalize the algorithm for managing the clinical engineering department, aimed at maximizing the useful use of the human capital of these departments.

    Keywords: clinical engineering, clinical engineer, time budget, performance metrics, medical device maintenance

  • System for detecting voice deepfake attacks

    This paper addresses the limited accuracy of existing automatic systems for detecting deepfake audio content in real time. A solution is proposed to increase the efficiency of detecting signs of deepfake use by improving neural network models and algorithms for analyzing audio recordings of human voices. An algorithm and corresponding software for a voice attack detection system have been developed. For training and testing, datasets were created containing real voice audio recordings and deepfake audio samples. Evaluation on a real-world test set demonstrated an accuracy rate of 83%, confirming the effectiveness and practical applicability of the proposed solution in combating audio deepfake threats.

    Keywords: deepfake, speech audio signal, machine learning models, convolutional neural network, vishing

  • Variation of technical solutions for foundations and reinforcement of the weak base of the distribution center building in karst conditions

    • Abstract

    The installation of foundations of production facilities on sites subject to karst formation and suffusion processes in conditions of weak soils is a serious problem in the design and construction of large distribution centers. In such a situation, it is necessary to calculate the load-bearing elements of the building for the effect of the lack of reaction of the base under the sole of the foundations on a site with a diameter of 3.0 m, located in the most unfavorable places from the point of view of structural work. Such unfavorable locations of a karst sinkhole can be determined by digitally constructing "influence functions" and obtaining "envelope" diagrams of pressure on the base, foundation sediment, and structural reinforcement. If the maximum allowable precipitation of the foundations obtained by calculation is exceeded, it is possible to strengthen the soils by layer-by-layer recycling, which will allow reaching the normative indicators.

    Keywords: karst formation, suffusion, sinkhole, calculated combination of loads, special combination of loads, reinforcement, foundation sedimentation, ground pressure

  • Features of the formation of a comfortable urban environment (on the example of Volgograd)

    The analysis of the environmental impact of the largest enterprises located in the Southern and Northern industrial zones of the linear city of Volgograd has been carried out, and the need to change approaches to designing a comfortable urban environment, which currently take into account the average data for characterizing the ecological state of a particular territory, has been shown. The analysis confirmed the need to take into account the local impact of industrial enterprises on the components of the urban environment when justifying the selection and planning of appropriate modern spaces within the framework of the Federal Project "Creating a comfortable Urban environment".

    Keywords: urban environment, comfort, urban environment quality index, modern spaces, environmental analysis, environmental friendliness, environmental safety

  • Formation of a search query for searching information in a subject area using the zipf law and the three sigma rule

    The annual growth of the load on data centers increases many times over, which is due to the growing growth of users of the information and telecommunications network Internet. Users access various resources and sources, using search engines and services for this. Installing equipment that processes telecommunications traffic faster requires significant financial costs, and can also significantly increase the downtime of the data center due to possible problems during routine maintenance. It is more expedient to focus resources on improving the software, rather than the hardware of the equipment. The article provides an algorithm that can reduce the load on telecommunications equipment by searching for information within a specific subject area, as well as by using the features of natural language and the process of forming words, sentences and texts in it. It is proposed to analyze the request based on the formation of a prefix tree and clustering, as well as by calculating the probability of the occurrence of the desired word based on the three sigma rule and Zipf's Law.

    Keywords: Three Sigma Rule, Zipf's Law, Clusters, Language Analysis, Morphemes, Prefix Tree, Probability Distribution

  • Features of calculation and reinforcement of the foundations of the distribution center building in conditions of weak soils

    The cargo turnover of modern distribution centers of network operators reaches hundreds of thousands of tons per year. The technological load on the floors in the warehouse part of the building is 8-10 t/m2 (80-100 kPa), on the floors – up to 2.4 t/m2 (24 kPa). These loads transfer significant pressure through the foundations of the frame to the ground, which, with large sole sizes and mutual influence, increases the lower boundary of the compressible thickness and, as a result, the draft of structures. In the presence of weak soils at the base, precipitation reaches exorbitant values. The situation is aggravated by the high groundwater level, which also increases the sedimentation of foundations. The article presents and analyzes options for solving the problem by strengthening the base by compacting the top layer and cementing it to different depths depending on the pressure and construction of the foundation.

    Keywords: reinforcement of the base, recycling, permissible calculated precipitation, calculated soil resistance

  • On the issue of determining the spatial distribution of the strength of erythemal radiation in the design of irradiation installations

    For the development of automated systems for designing ultraviolet irradiators intended to compensate for the deficiency of natural ultraviolet, it is critically important to know the spatial distribution of the erythemal radiation power. However, there are no suitable sensors for direct measurement of this value on the Russian market. In this regard, an alternative method for determining the erythemal radiation power is considered, which does not require the use of specialized erythemal-sensitive receivers. The method is based on obtaining the spatial distribution of the erythemal radiation power by taking into account the curve of the relative spectral erythemal efficiency of radiation and preliminary measurements on a gonioradiometric setup of the distribution of energy illuminance in the UVA (320 - 400 nm), UVB (280 - 320 nm) regions and the relative spectral distribution of the irradiator or radiation source for one arbitrarily selected direction in the wavelength range of 280 - 400 nm.

    Keywords: ultraviolet radiation; erythemal radiation; irradiation units; measurement method, radiation strength; spatial distribution of erythemal radiation strength, method

  • The use of deep learning neural networks to detect polishing defects using a robotic video analytics system

    The article proposes an approach to automate the detection of polishing defects in blades using luminescent testing (LUM). Instead of manual visual inspection, a system was developed that utilizes a deep learning neural network for defect segmentation on images and a robotic setup for precise positioning of the camera and the blank. This ensures the repeatability of the inspection. The relevance is driven by the industry's need for high-precision and reliable real-time quality control methods. The mathematical model of the process, software architecture, hardware components, and the data collection process for neural network training are described. The results of applying the system for defect detection are presented. The development optimizes polishing processes.

    Keywords: industrial blade polishing, intelligent video analytics, robotic optical scheme, mathematical model of technological process, Lum control

  • The potential for modular construction in Russia and other countries

    In recent years, there has been a notable increase in the popularity of modular construction in Russia and in other countries. This form of construction offers a number of advantages, including a reduction in construction time, a decrease in costs, an improvement in the quality of modular construction, and a reduction in the negative environmental impact.

    Keywords: еhe subject matter encompasses modular construction, prospects, Russia, international experience, construction technologies, housing construction, and innovations

  • Obtaining a dry foaming agent for low-density gypsum foam

    The paper considers a method for obtaining gypsum foam based on various compositions of dry mixtures, including a foaming agent, various sorbents, and gypsum binder. Expanded vermiculite, perlite sand, and crushed expanded clay gravel were used as sorbents. The most effective sorbent of the above is the crushing waste from the production of expanded clay gravel. As studies have shown, foam gypsum with a density of 250 kg/m3 and a strength of 0.9 MPa can be obtained.

    Keywords: Dry mix, adsorption, gypsum foam, gypsum binders, sorbent, expanded clay sand, vermiculite, perlite, foaming agent