ISSN 0236-235X (P)
ISSN 2311-2735 (E)

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Higher Attestation Commission (VAK) - К1 quartile
Russian Science Citation Index (RSCI)

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Publication date:
16 June 2024

Articles of journal № 1 at 2022 year.

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Public date | Title | Authors

11. An algorithm for ensuring the required level of stability of control of an unmanned aerial vehicle in the conditions of counteraction [№1 за 2022 год]
Author: Belonozhko D.G.
Visitors: 2009
The paper proposes an algorithm for ensuring the required stability level of controlling an unmanned aerial vehicle (UAV) in the conditions of counteraction. It is assumed that the external influence includes both intentional de-structive influences and unintended environmental influences. The sustainable control of UAVs is considered as the ability of the governing bodies to perform their functions in a complex sharply changing environment under conditions of interference, enemy influence (fire, electronic, etc.) and technical failures, keeping the values of all control indicators within the established limits, respectively. The paper considers the means of fire and physical destruction, electronic suppression, as well as means of functional damage by electromagnetic and laser radiation as deliberate destructive environmental influences that threaten to disrupt the stability of UAV control during automatic control. Depending on the probability of defeat-ing a UAV after deliberate destructive influence of the external environment, there are formed zones that charac-terize the influence of influence means on the level of UAV combat capability. The determined acceptable level of stable control probability meets the requirements of a UAV combat-ready state. In order to ensure the required stability level of UAV control, the author used the principle of adaptive control that consists in changing the parameters of the UAV movement to implement the possibility of overflying danger-ous zones. The calculation of the UAV motion control parameters used a mathematical model of the dynamics of the UAV lateral movement. The UAV motion control parameters are formed as a sum of program and corrective control calculated through the required motion parameters of the UAV. The proposed algorithm takes into account the possible intentional destructive impact of the external environ-ment. It can be implemented using microcontrollers of modern UAVs and does not involve making changes to their design. The implementation of the algorithm in UAV automated control systems will effectively solve the tasks of aerial reconnaissance in counteraction conditions to calculate the required motion parameters and to con-trol the UAV corresponding to the current situation.

12. Software implementation of the algorithm for finding the optimal temperature condition of the catalytic process [№1 за 2022 год]
Authors: E.V. Antipina , S.A. Mustafina , A.F. Antipin
Visitors: 1302
The paper describes the software for solving problems of optimal control of the catalytic process in an ideal mixing reactor. The general form of the formulated optimal control problem is based on a mathe-matical model of the process in an ideal mixing reactor. The refrigerant temperature is considered a control parameter; its values are limited. In order to solve the problem numerically, the paper presents a step-by-step algorithm based on the evolutionary method of artificial immune systems. The method of artificial immune systems for solving optimal control problems makes it possible to obtain an ap-proximate solution to the problem in a time that is acceptable from a practical point of view. The formulated algorithm is a basis for the developed application for the catalytic reaction of α-methylstyrene dimerization in the presence of the NaHY zeolite catalyst, whose products (linear di-mers) are widely used in industrial production. To calculate the process in an ideal mixing reactor, the program implements a number of numerical methods. The software tool allows the user to customize both the catalytic process parameters and the parameters of the algorithm of the artificial immune system method. The user sets the optimization criterion during the program operation, which makes it possible to use it for various formulations of the tasks of the catalytic process of α-methylstyrene dimerization and to obtain a set of optimal concentrations of substances and optimal temperature conditions that correspond to the specified process indicators. The paper gives a solution to the problem of finding the optimal tem-perature condition for the considered catalytic process, the optimality criterion of which is the achievement of the maximum yield of linear dimers with a minimum yield of cyclic dimers and trimers.

13. Modeling an air route network structure with prefractal graphs [№1 за 2022 год]
Author: R.A. Kochkarov
Visitors: 1300
The paper highlights the main research areas: designing a network with given numerical characteristics, calculating the stability of a given network and a solution, solving optimization multicriteria problems with many parameters, and modeling dynamic networks. The structure of networks is hierarchical, with high clustering parameters; it has the properties of self-similarity at the global air transportation level. Air traffic networks are referred as scaleless net-works or “small world” type. Their analysis involves using the theory of complex networks. The au-thors propose the apparatus of prefractal graphs as a tool for solving optimization problems. They also give basic definitions and notations, consider dynamic rules for generating graphs. In order to solve NP-complete problems in transport and logistics systems, it is proposed to use a method that reduces the complexity for a number of subtasks. The paper considers a model for covering an air route network with a prefractal graph, proposes to state a multicriteria problem of locating a multiple center with many weights, and gives a radial metric estimate. There is a proposed algorithm for placing a prefractal graph multiple center while maintaining the adjacency of old edges. Therefore, the authors generate a graph and select the multiple center verti-ces. The rules for generating a prefractal graph make it possible to generate networks with predeter-mined characteristics, such as vertex centrality, diameter, etc., including those for building air routes, locating airports and transfer hubs. The promising directions of further research are the recognition of real aircraft networks in the form of dynamic graphs, weighing by many weights and formulation of optimization multicriterial tasks, analyzing network structural characteristics, a statistical analysis based on small network structural el-ements, generating networks with specified properties and comparing them with real networks, analyz-ing structural stability of networks, etc.

14. Using job scheduler simulator to evaluate the effectiveness of job run time prediction [№1 за 2022 год]
Authors: Shumilin S.S., Vorobev M.Yu.
Visitors: 1756
The paper investigates the efficiency of queue scheduling using pre-trained models. A supercomputer cluster uses a scheduler to distribute the incoming job flow among the available computing resources. In order to place a job in the queue, the scheduler uses the data specified by a user, including the or-dered program runtime. However, users often misjudge the runtime and choose an upper estimate. If the job completes earlier than specified, then the scheduler needs to reschedule the queue. A large number of such events can reduce the efficiency of resource allocation. Recently, there have been many papers describing the use of machine learning to predict the job run time. This allows using the run time calculated by a pre-trained model during the scheduling process. However, all the models contain an estimation error. Therefore, the problem is the need to assess the efficiency of planning for a given value of the model error. This paper investigates the effectiveness of the proposed approach by comparing the scheduling ef-ficiency in two scenarios: 1) the scheduler uses the time specified by a user and 2) the scheduler uses the real job runtime. For this purpose, the SLURM scheduler simulator performs simulation on the sta-tistical data of the MVS-10P OP2 supercomputer installed at the Joint Supercomputer Center of the Russian Academy of Sciences. The results show that average waiting time in scenario 2 reduced by 25 %. Slowdown reduced by 50 %. Resource utilization did not change significantly. The experimental results indicate the practicability of using machine learning algorithms to predict the running time of jobs arriving at a supercomputer cluster. Thus, the article provides an estimate of the ultimate optimization, since the experiment assumes a hundred percent prediction accuracy, which to date is not demonstrated by any of the presented works on runtime prediction.

15. Time tracking automation for employees working remotely [№1 за 2022 год]
Authors: Shevnina Yu.S., Buravov A.N.
Visitors: 1467
The paper describes a method for solving the problem of time tracking of enterprise employees who work remotely. The method is based on the development of a separate information system with the ability to integrate into the existing project management system. According to surveys made by the IDC research company, the procedure of filling out the time sheet by employees of many companies is ra-ther inconvenient and long. However, in order to manage projects, managers need to know the actual time spent on work. For the server side, the authors used the NestJS framework, for the client web ap-plication – the Angular JS framework. In the process of modeling the information system, diagrams of the time tracking process before au-tomation and after automation were obtained using modern notations for their construction. MS SQL Server has become a relational database management system. The paper presents a comparative analysis of existing solutions for time tracking of enterprise em-ployees, such as: TMetric, StaffCop, WorkPoint, Kickidler, ManicTime, CrocoTime, identifies their main advantages and disadvantages. It also describes the methodology, analysis, selection of develop-ment tools, design and development of an information system that has been successfully implemented in the internal structure of a small enterprise with 70 % of its employees switched to a remote mode of operation. The calculation of the automation equipment efficiency has shown a decrease in the labor intensity of filling out time sheets by 80 % and a 60 % decrease in time costs. Detailed reporting of elapsed time allow more efficient allocation of resources by tasks resulting in increased overall project manageability.

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