Software & Systems

Articles of journal № 3 at 2021 year.

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11. Simulation of multiphase multicomponent systems in a gas flow [№3 за 2021 год]
Authors: Sechenov P.A., Rybenko I.A., V.P. Tsymbal
Visitors: 3286
The paper considers a simulation model of physical and chemical processes in a column jet-emulsion reactor. The tables show the initial compositions of the input products: iron ore, lime, coal fuel. Computational experiment involves using a simulation model and a particle method. The author propose a technique of the interaction of particles in a column reactor, considers the mechanisms of in-teraction and changes in the gas composition along the reactor height in detail. The chosen program-ming language is ActionScript 3.0 that allows animating the movement of particles and visual studying the ongoing processes. It was compiled in the Adobe Animate programming environment. The mecha-nism of coal fuel combustion is implemented, and the options of volatile burnup in coal fuel are taken into account depending on the presence of oxygen in gas layer. The properties in coal fuel particles dy-namically change as they burn out: the size decreases, the composition changes and the density in-creases. To take into account the change in the gas composition along the column reactor height, a cor-responding class is implemented; and a mechanism for gas rise and gas composition change in the form of layers along the reactor height is proposed. As a result of modeling, it was revealed that when the coal fuel burns out and the properties change, the particles begin to rise up the column reactor. The highest concentration of coal fuel fine particles is observed just below the level of the slag taphole, where particles of slag and coal fuel fly out. The modeling also showed that the oxygen concentration drops sharply already at the first meter along the reactor height, the carbon monoxide concentration slightly decreases, and the carbon dioxide concen-tration increases. The developed and implemented model will allow optimal control of raw materials, fuel and energy resources in metallurgical production. In the future, it will be necessary to take into account the pro-cesses of heating, substance melting in the column reactor, as well as endothermic and exothermic re-actions at the particle level.

12. Comparative analysis of video conferencing tools for distance learning [№3 за 2021 год]
Author: Sukhanov M.B.
Visitors: 3744
Suddenly appeared pandemic problem has led to the need to switch to distance learning and to choose video conferencing means for conducting lectures and practical classes remotely. Video conferencing software was chosen as the object of the research. The analysis of publications on the research topic has shown that nowadays it is difficult to find reasonable recommendations in the scientific literature on the choice of modern informatization tools for distance learning, and the prospects for using web and video conferencing platforms by both re-searchers and participants are poorly studied. The video conferencing software of foreign companies is very popular. The paper compares the functionality and features of video conferencing software. It considers the requirements for a computer and mobile devices, their technical characteristics are the most important for ensuring high-quality video conferencing. There is an example of studying the performance dynam-ics of the main computer resources during the Zoom video conference. The performance data is ob-tained using the “Task Manager” program, which is a part of the Windows 10 operating system. It is shown that video conferencing programs consume a lot of computer resources (CPU, RAM). The paper identifies the trends in using video conferencing software in Russian distance education – the transition to using Microsoft corporate solutions, the joint use of Office 365 and Microsoft Teams, and the widespread use of Zoom software. Since video recordings of lessons are intellectual property, import substitution of foreign video conferencing tools in the field of education is advisable. The advantages of such tools should be high reliability, security, assessment of the student satisfaction level, and a cognitive interface.

13. An intelligent approach to online reporting and short-term forecasting of time series [№3 за 2021 год]
Authors: V.S. Tormozov , A.L. Zolkin , А.U. Mentsiev
Visitors: 4269
The problem of predicting future values of the complex system characteristics remains important. Nowadays, along with traditional methods for predicting time series, the theory of artificial neural net-works is used, which has proven itself well in the control field, where the use of human intelligence was previously necessary, in particular in solving prediction problems. The interest in neural networks is due to both theoretical and applied advances in this field. The paper considers the development of a software system for informing and forecasting the time series using the example of the exchange rate on the Forex stock exchange using a mathematical appa-ratus of artificial neural networks. The paper presents the designed information and functional diagram of the prediction system and a server, the conceptual and physical data model used for research of the neural network structure. A prediction server in the C++ programming language is implemented, as well as an access request processing server based on the Tomcat Web server, which generates a jsp page with current currency quotes and a forecast result. A software system has been designed and de-veloped to inform and predict currency quotes in the Forex market online. The developed and imple-mented system strictly meets the set requirements. Based on the experimental results, it can be concluded that with the help of a model for predicting the values of currency quotes, it is possible to make fairly reliable short-term forecasts. For the most testing samples, the forecast showed the correct direction of short-term change in the studied quota-tion. The constructed forecasting model helps making fairly reliable short-term forecasts.

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