articles
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№ 4(106)
25 august 2023 year
Rubric: Network Technologies Authors: Peregorodiev D., Aleksanyan G., Katsupeev A. |
The creation of native information systems for mobile devices in healthcare facilities is becoming increasingly important in light of the need for remote monitoring of patients» condition. This need is due to the necessity for medical staff to constantly monitor patient condition in order to make quick decisions in the case of an emergency. In this regard the article is devoted to the technical aspects of developing a mobile application for remote interaction with an electrical impedance tomography device. Unlike well-known solutions, which use Bluetooth technology for information transfer, this article focuses on the study of the features of working with TCP sockets, which are an integral part of data transfer between the electrical impedance tomography machine and a mobile device. Also, the use of TCP sockets is due to the existing implementation of this technology in an electrical impedance tomography device made for its integration with a lung ventilator. The article discusses the main aspects of developing a system for remote interaction with medical equipment using the example of an electrical impedance tomography device. An application prototype developed for the iOS operating system to test the applicability of the proposed approach is described. The authors of the article describe methods for receiving graphic data, and also discuss possible problems and solutions related to working with TCP sockets in a mobile application. Continue... |
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№ 4(106)
25 august 2023 year
Rubric: Training IT specialists Authors: Sizov V., Aleinikov V., Kirov A., Rud I. |
The work is devoted to the development of models for the automated formation of competencies of a cybersecurity specialist based on a scenario approach. The relevance of the work is determined by the need to timely update the requirements for professional competencies of a cybersecurity specialist in the context of the development of methods and tools for information warfare and the lack of a theoretical apparatus that allows automating this process. The purpose of this work is to develop models for the automated formation of competencies of a cybersecurity specialist based on a scenario approach, which allow analyzing information about the actions of a cybersecurity violator and, based on this information, determining the current set of professional competencies of a cybersecurity specialist. The task of developing models for the automated formation of competencies of a cybersecurity specialist based on a scenario approach is to develop a model of actions of a cybersecurity violator and an associated model of a countermeasure system that determines the actual set of competencies of a cybersecurity specialist. In contrast to existing expert approaches to determining the professional competence model of a cybersecurity specialist, this paper uses a scenario approach that allows describing scenarios of actions of a cybersecurity violator at a formalized level, integrating the data obtained into the appropriate graph model and forming an activity professional model of a cybersecurity specialist based on optimizing the structure of the system counteraction. The set of developed models for the automated formation of competencies of a cybersecurity specialist based on a scenario approach takes into account many factors of information confrontation, such as: techniques and tactics of cybersecurity offenders, their corresponding methods and tools of counteraction. The proposed approach of structuring the countermeasure system in the form of a set of interrelated modules based on the results of the analysis of attack scenarios, techniques and corresponding tactics used by the violator of cybersecurity allows taking into account the features of attacks that are most often implemented, forming a set of professional actions of a cybersecurity specialist based on the use of appropriate methods and tools to counter these techniques grouped by functional modules. Analysis of the results of the conducted computer experiment showed the operability of the proposed models for the automated formation of competencies of a cybersecurity specialist based on the scenario approach. Continue... |
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№ 4(106)
25 august 2023 year
Rubric: Researching of processes and systems Authors: Vavilova D., Ketova K. |
Currently, digitalization processes are actively developing. Digital tools make it possible to strengthen a systematic approach to monitoring, analyzing and forecasting socio-economic indicators. The introduction of information and analytical systems (IAS) for the study of socio-economic processes improves the decision-making process in public administration and it is an urgent task. This paper outlines the principles and approaches to the analysis and forecast of socio-economic processes, implemented in the construction of an information-analytical system. The structure of the IAS includes a database of statistical data, an analytical subsystem and a subsystem for visualizing the results. The database is developed in the MS SQL Server program and it uses official statistical data posted on the websites of state statistics, the Federal Treasury of the Russian Federation, ministries and departments. It contains information on the total population and in the division by groups, on the population density in the distribution by age of inhabitants; fertility, mortality, natural population growth, migration; statistical data on human and production resources, gross regional product. The analytical subsystem of the IAS is developed in the Microsoft Visual Studio environment and implemented in the high-level C# programming language. It contains algorithms for analysis, modeling and forecasting indicators of regional socio-economic processes based on the integrated use of dynamic models of various types. Visualization and display of the results of the work of the IAS is given in the form of tables, graphs, diagrams, cartograms according to official statistical data of one of the regions of the Russian Federation – the Udmurt Republic. The developed IAS, unlike other information systems, analyzes not only indicators characterizing the state and dynamics of the socio-economic system, but also examines the structure of ongoing processes in terms of time, territory, and age of the objects under study. This system allows to quickly track changes in the dynamics and structure of socio-economic indicators and provide it to decision makers in a timely manner. Continue... |
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№ 4(106)
25 august 2023 year
Rubric: Researching of processes and systems Authors: Magomedova S., Feylamazova S., Millinov M. |
The lack of an effective system of raw material quality assessment during acceptance in the field is the reason for writing this article. The article describes important scientific and practical tasks related to this problem, such as the development of methods of raw material quality control, creation of algorithms of intellectual support for fast and accurate assessment of raw material quality in real time. The authors have analyzed domestic and foreign scientific papers describing approaches and methods for raw material quality control and concluded that the YOLOv5 algorithm and visual transformer are the most suitable for the present study, their combination has not been previously used in the literature. The paper presents the problem statement for the development of an intelligent raw material quality system, description of object detection algorithms, their comparative characterization. The description of the working principle of the one-stage algorithm of object detection in the image YOLOv5 and its advantage over the existing analogs of deep learning methods, which are widely used for object detection, is given. Also presented are the results of neural networks, the task of which is to identify defective raw materials from the total amount stored in a particular railcar and belonging to a particular supplier. An intelligent system for analyzing the quality of bulk raw materials includes cameras located above and to the side of railcars. The quality of raw materials is determined by transferring images from the loading cameras to a neural network for further processing. YOLOv5 algorithm is used to detect the railcar number, which provides accurate detection of railcar number. To determine the percentage of rejected cargo, in the first step, YOLOv5 approach is used to select the image region with cargo and then visualization is applied to detect the percentage of rejected cargo. Implementation of the proposed intelligent system will allow more efficient production management, reduce costs and improve the quality of delivered bulk raw materials. Continue... |
| The problem of unreliable information is currently the most critical in the field of information dissemination in the Internet environment. The global transition of information sources to the Internet has led to the fact that information is distributed too quickly, and it is quite difficult to verify the accuracy of the information. This topic is raised when talking about the media, social networks, blogs, and other sources of information. The transmission of information has ceased to be a matter only for the media. Any Internet user can be a source of information. The development of free sources of information and the digitalization of sources have led to a loss of confidence in the official media. The consequence of this is the development of methods for automatically detecting false information. The objectives of this work are to study the possibility of building a model for automatically determining the level of trust in a message in a social network in Russian language and determine the most influential parameters. The considered method is aimed at a multi-sided analysis of the post, including parameters obtained from the text of the message, user data and the distribution of the message on the social network. To work with machine learning methods, a data sample was collected and marked up, on which machine learning models were trained. The data sample underwent a balancing process to obtain stable results. After training the models, five models were obtained trained on both balanced and conventional data samples. The results were obtained for models with a restriction on parameters to identify the most influential parameters. The results were machine learning models with high readings of metric values on test data and the most influential parameters were identified, which included parameters unique to the Russian language. Continue... | |
| Entering the era of digitalization, the real estate industry unlocked the bricks-and-clicks model of operation. The virtual-and-real interaction has led to new demands for service quality from a new generation of customers, and e-service quality (ES-QUAL) is a response to this demand and has attracted the attention of scholars and practitioners specializing in the sales and service sectors of the real estate industry. The study investigated the relationships between the implementation of ES-QUAL, knowledge culture, and employees’ performance from an internal perspective, while emphasizing a specific Chinese research context. A total of 602 responses, received from brokers, front-line salespeople, and sub-branch managers, were collected through a web-based questionnaire survey from the Shanghai branch of the largest real estate brokerage company in China, called Lianjia. A multi-method approach of the structural equation modeling (SEM) and bootstrapping estimation was employed to test the hypotheses and evaluate the validly and reliability of the data. The results indicated that ES-QUAL and knowledge culture positively influenced employee performance, and the direct effect of ES-QUAL on knowledge culture was stronger than on employee performance. Additionally, knowledge culture was found to be partially mediating the relationship between ES-QUAL and employee performance. The study provided managerial insights and discussed strategies for implementing ES-QUAL to achieve desired organizational performance by fostering a learning-oriented culture. Continue... |
