Evstigneeva O.A., Yuganson A.N., Korobeinikov A.G., Grishentsev A.Y., Kubasheva E.S. —
Optimization of Transitional Commutation Processes in Thermal Operations Systems
// Cybernetics and programming. – 2017. – ¹ 5.
– P. 89 - 102.
DOI: 10.25136/2644-5522.2017.5.24411
URL: https://en.e-notabene.ru/kp/article_24411.html
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Abstract: The subject of the research is the method of reducing the spark load and commutation noise by separating the power elements of thermal plants. The object of the research is thermal installations. The aim of the research is to develop a method for separating the power elements of thermal plants in order to reduce the switching currents when performing thermal control. In the course of their research the authors have conducted simulation based on the example of a heating installation. The results of simulation and comparison of the systems with separation and without separation of the thermal circuits show the efficiency of the application of the separation method to reduce the switching currents while maintaining the admissible system characteristics by the cosφ criterion. The authors also offer their method for reducing switching currents in the process of temperature control of the temperature of thermal installations by transition from one power element of the thermal installation to several, the power of which is distributed in proportion to the first members of the Fibonacci series. The analysis carried out in the research has showed the possibility of reducing switching currents by increasing the number of thermal circuits. The possibility of reducing the switching voltages in several times is demonstrated. The authors offer to divide powers between consumers (thermal loops or cryogenic elements) in proportion to several first terms of Fibonacci numbers. The typical feature for dividing the system into several power circuits is the increase in reacting power. The authors offer the method to return part of the reacting power in thermal plants by back connection of thermal spiral elements.
Grishentsev A.Y., Korobeinikov A.G., Yuganson A.N. —
Computational optimization of mutual transformations of color spaces based upon the arithmetic fixed-point.
// Cybernetics and programming. – 2017. – ¹ 4.
– P. 84 - 96.
DOI: 10.25136/2644-5522.2017.4.24005
URL: https://en.e-notabene.ru/kp/article_24005.html
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Abstract: In their article the authors provide their results on systematization of methods for computational optimization of the transformation of color spaces based upon the application of fixed-point arithmetic. The authors formulate the goals and analyze the key problems arising in the situation of computational optimization in the process of color space formation from the standpoint of the speed of operation increase. The principles of transition from a floating point format to a format with a fixed point are stated. The authors also provide an example for the analysis of computational optimization for the mutual transformation of RGB and Y709CbCr. In this article the authros consider the method of computational optimization of the transformation of color spaces based on the application of fixed-point arithmetic. When applying the considered principle of practical implementation, the computation time for an image of 4134x2756 on an Intel Core 2 Duo processor becomes 18 times less. This is a very significant increase in productivity. It is not too difficult to apply this approach to other similar calculations, especially on modern 64-bit and 128-bit processors, when the necessary values fit into a single processor register.
Korobeinikov A.G., Grishentsev A.Y., Kutuzov I.M., Pirozhnikova O.I., Sokolov K.O., Litvinov D.Y. —
Developing of the mathematical and simulation models for calculation of an estimate of informatization object protection from unauthorized physical access
// Cybernetics and programming. – 2014. – ¹ 5.
– P. 14 - 25.
DOI: 10.7256/2306-4196.2014.5.12889
URL: https://en.e-notabene.ru/kp/article_12889.html
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Abstract: Methods and techniques allowing to calculate quantitative estimates of level of protection from unauthorized physical intrusion for different informatization objects using various means and protection systems are currently being intensively developed. Generally the quantitative evaluation of protection is represented by a set of probability characteristics, the predominant of which is some integral indicator. Therefore, developing mathematical and simulation models for calculating an estimate of informatization object protection from unauthorized physical access is an urgent task. This model then is used as a part of a complex system of information security. To solve this problem the article presented uses methods of information protection, graph theory and probability theory. The results shown in the article were calculated using Maple system of computer algebra. Scientific novelty of the work is: – in creating a mathematical model for calculation the probability of detecting of unauthorized physical access to information by an alarm system;
– in bulding of a simulation model for evaluation of level of protection of informatization object from unauthorized physical access;
– in developing of a technique of evaluation of full protection from unauthorized physical access for object of informatization
Korobeinikov A.G., Grishentsev A.Y., Svyatkina M.N. —
Using intelligent agents for magnetic measurements for railway infrastructure monitoring
// Cybernetics and programming. – 2013. – ¹ 3.
– P. 9 - 20.
DOI: 10.7256/2306-4196.2013.3.8737
URL: https://en.e-notabene.ru/kp/article_8737.html
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Abstract: The paper proposes the use of the intelligent hybrid meta-agent for solving a problem of intellectualization management and information systems in rail transport. In order to ensure the safety and risk management for harmful natural and man-made situation in rail transport the authors propose to use intelligent software for management and informational support. The article reviews general structure of intelligent environment as hybrid cognitive agent consisting of four main parts. The main obstacles to the creation of intelligent monitoring systems are: lack of finance support, absence of knowledge base on pre-threshold facilities, nonexistence of specialized software and hardware. Modern sensor networks combined in multi-agent system where each individual sensor is a single agent, with its local knowledge base possess the necessary characteristics. Multi-agent system formed by multiple interacting intelligent agents can be used to solve these problems that are difficult or impossible to solve with a single agent. The article shows variants of construction of logical models of interaction between the sensors using the apparatus of multi-valued logic and bilattices.
Korobeinikov A.G., Grishentsev A.Y. —
The increase in the rate of convergence of finite difference method based on the use of middleware solutions
// Cybernetics and programming. – 2012. – ¹ 2.
– P. 38 - 46.
DOI: 10.7256/2306-4196.2012.2.13864
URL: https://en.e-notabene.ru/kp/article_13864.html
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Abstract: To study the characteristics of the process of functioning of any system of mathematical methods, including the engine, should be carried out formalization of the process, ie. a mathematical model. By mathematical modeling we mean the process of establishing compliance with this real object of a mathematical object (mathematical model), and the study of the mathematical model, which allows to obtain characteristics of this real object. A type of a mathematical model depends both on the nature of the real object and tasks of the research and the required reliability and accuracy of the solution of this problem. Any mathematical model, like any other, describes the real object only with a certain degree of approximation to reality. This paper presents a method for calculating interim solution in n-dimensional problem with boundary conditions, contributing to the acceleration of the convergence process of a finite difference method. In the practical implementation of this method the number of iterations to achieve a given residual was reduced to 10 - 100 times, due to the search of the intermediate solutions. Thus, this method can be used to significantly improve the efficiency of a finite difference method.