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 № 4 at 2018 year.

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11. Evaluating the quality of heterogeneous robotic systems using the Banker-Charnes-Cooper model [№4 за 2018 год]
Authors: D.E. Seliverstov, K.D. Rusakov , S.Sh. Hill , S.B. Savilkin
Visitors: 5536
The paper proposes a method for evaluating and determining the ways for improving the quality of heterogeneous robotic systems that consists of private methods. It is based on the developed complex of mathematical models that is based on the methodology of the data envelopment analysis. One of the features of the data envelopment analysis by evaluating complex system effectiveness is the fact that the object under study has a variety of input and output heterogeneous parameters. In this case, the solution of the problem is carried out under conditions of heterogeneity of the parameters, which is of particular importance in the case of system heterogeneity. After complex mathematical transformations, modeling based on the data envelopment analysis makes it possible to “compare something noncomparable”. The method for evaluating the quality of heterogeneous robotic systems supposes a certain number of factors described in the paper. It is based on the developed mathematical models for evaluating the quality of heterogeneous robotic systems and theoretical provisions on the quality criteria the object under study. The paper shows that if the constraints make it necessary to achieve the maximum level of the output indices at fixed values of the entry indicators, then we should choose the developed model for the analysis of heterogeneous robotic systems based on the Banker-Charnes-Cooper output model of the data envelopment analysis. This mathematical model allows analyzing the quality of heterogeneous robotic systems in conditions of possible cost reduction with fixed values of output characteristics. If the determination of the ways of improving the quality of heterogeneous robotic systems is carried out under conditions of possible simultaneous changing of the values of both input and output parameters, then we choose a synthesis model based on the additive model of methodology of the data envelopment analysis.

12. A methodology for constructing software architecture of energy efficient management plans for MIMO process facilities on a set of functioning states [№4 за 2018 год]
Authors: A.N. Gribkov, D.Yu. Muromtsev, V.N. Shamkin, I.V. Tyurin
Visitors: 4896
The paper considers theoretical and practical aspects of constructing a software architecture of energy efficient management plans for MIMO process facilities on a set of functioning states. The classification of control systems takes into account changes in functioning states during operation. The authors describe the possibilities of identifying the current functioning state in a control time slot. They also structure the software of energy efficient management plans with allocating functional subsystems and software modules. The general architecture of a energy efficient management plan includes a knowledge and data management subsystem, an interface subsystem and six basic software modules. The knowledge and data management subsystem includes a knowledge base, an inference engine, a database and a database management system. The interface subsystem consists of an initial data input module, a cognitive graphics module and an integrated development environment. The basic software modules of the energy efficient management plan are the following: an identification module of a control object dynamics model, a module for analysis of optimal control tasks, a module for synthesis of optimal control actions, a simulation module, a module for identification of a current functioning state, and an experiment planning module. Each basic module has determined system classes on a set of functioning states, in the software architecture of which it can be included. The paper proposes a methodology for constructing a software architecture of different energy efficient management plans on a set of functioning states. It also considers the features of software implementation of energy efficient management plans based on various approaches (using applied and software tools).

13. Ontologies in the problems of building a concept domain model [№4 за 2018 год]
Authors: Vinogradov G.P., A.A. Prokhorov
Visitors: 5161
The purpose of the research is the problem of communication between information systems and between an information system and an operator. The problem is relevant due to the IT intellectualization that leads to the fact that an information system acquires the features of an intellectual agent. So, there are new prospects for the digital economy, where information interaction at the network level plays an important role. The methodological basis of the research are the results from theoretical semiotics, from the use of ontology as a form of real world knowledge representation, as well as the publication of domestic and foreign scientists on the problem of communication between information systems. The research includes the communication process analysis. It is revealed that the intelligent agent considers a message as a decision result either to inform or to change the status of another agent. It is shown that communication should be considered as one of the types of control, such as behavior. The authors prove that, in relation to the theory of behavior, this approach requires including psychological aspects into the subject area of the theory of choice. First of all, these are the problems of perception, awareness, understanding the properties of the situation of choice and building assessments of the results of choice, communication, conflict, the introduction of new concepts and the relations between them of a number of others. Communication process support systems should contain a domain model that is understandable and interpreted by a user. It is shown that conceptual modeling of the subject domain based on ontologies is the most appropriate way to build it. The conceptual model consists of a conceptual structure and a concept content description. A conceptual structure is a set of concepts on which four abstraction maps are defined: generalization, type designs, association, and aggregation. A concept content description is carried out using database tables. The essential difference of the used conceptual model from others is describing an association as a usual concept. It is shown that, due to the semantic invariance of conceptual interpretation, it is possible to improve technological and operational characteristics of an information system. The proposed approach creates the basis for the development and organization of the interface of artificial entities both among themselves and with an operator based on a certain “professional language”, which is relevant to a particular subject domain. This involves considering an interface as a sign system and using methods of the theory of artificial intelligence to build it.

14. Optimal feedback control for one class of nonlinear systems via quadratic criterion [№4 за 2018 год]
Authors: A.P. Afanasiev, S.M. Dzyuba, Pchelintsev, A.N., Emelyanova, I.I.
Visitors: 6242
The paper considers the problem of synthesizing optimal control for non-linear systems with a separated linear part upon quadratic criterion. This problem is rather significant, since such models are used to described many models of technical, physical, biological and economical systems. The paper presents a method of synthesizing optimal feedback control. This method is based on a special method of successive approximations. It is developed from the results described in earlier papers of the authors. These papers have proved that, if the system operation time is small enough, then the suggested method converges uniformly. This establishes the existence of a solution for the initial problem in the form of a feedback control law, and provides a procedure for approximate development of this law. If the system operation time is long, as it usually happens, then it is impossible to prove the uniform convergence of the successive approximations method due to the specific nature of the method. However, numerous computational experiments have demonstrated that simple convergence of the method can be in many cases. Moreover, it can be demonstrated that, if the method converges within a random time interval, its convergence implies the existence of a solution for the initial problem. Thus, it additionally provides an approximate solution of the problem in the form of a feedback control law. Therefore, the suggested method is justified for solving problems in many real world situations. The paper presents an example of applying this method for solving the problem of stabilization of Watt governor operation modes. This example has practical significance, as stabilization of Watt governor is a classical problem of the control theory. The numerical implementation of the example applies the methods of object-oriented programming. The numerical experiment has shown that the method in question allows stabilizing Watt governor operation within a rather wide range of parameter extraction.

15. Building a specialist’s knowledge model in the digital economy [№4 за 2018 год]
Authors: Vinogradov G.P., N.G. Vinogradova, D.A. Shapel
Visitors: 5443
The purpose of the study is to investigate the problem of forming a training standard and the construction of a higher education specialist knowledge model. These problems are considered important when managing the process of professional personnel training for the digital economy. The authors used the methods of system analysis, the theory of active systems, the theory of information management, coordinated management in organizational systems, methods and approaches of the artificial intelligence theory. The research shows that Russia's entry into the Bologna Process caused some downturns. Specialists’ training effectiveness and quality has become lower. It has become difficult to integrate higher education institutions into a new social and economic system of the country. Specialists’ training goals, including the goals at all training stages, do not conform to the goals of economic entities. At the same time, universities are the ones who are mainly responsible for training specialists who meet the requirements of the digital economy. One of the ways to overcome these downturns might be the transition of universities to the design and technological type of work organization. Then the most promising form of educational project management is the implementation of the model of information interaction between parties concerned (organizations and universities) within the framework of active self-developing network expert environments. The paper presents the structure of an active self-developing network expert environment and its functioning principles when forming specialist’s model standards and knowledge. This approach allows considering the construction of training standards and development of a specialist knowledge model in the context of corporate intellectual potential management strategies. The implementation of this approach is a multi-stage process of collecting, analyzing, evaluating and processing large amounts of information. The authors propose a system that provides searching, filtering, summarizing information, determining its value and prospects. It is established that the method of improving the quality of educational project decisions is the synthesis of network expertise technologies and the methodology of the theory of active systems. The paper shows that the effective formation of training standards and a specialists’ knowledge model is possible within the framework of self-organizing expert environments that are presented as active systems with heterogeneous agents with a counter method of communicating information with the active influence of the center. The effective implementation of this approach implies changing the goals of the higher education system from meeting the needs for training higher education personnel шт order to develop an innovative economy. This will ensure the interaction of universities and organizations in the management of their intellectual capital in the digital economy on a new legislative basis.

16. Development of a service industry software infrastructure in digital economy [№4 за 2018 год]
Authors: Ivaschenko A.V., S.A. Korchivoy
Visitors: 5708
This paper considers the problem of software development and performance evaluation for virtual intermediary operators in service industry at the stages of investment, as well as evaluation of the progress of the digital economy project implementation. The authors note the specific features of such solutions related to virtualization of services in digital social systems. In order to solve this problem, it is proposed to implement a model of infrastructural return of digital economy. The model is based on correlation of virtual benefits of digital economical system and its software infrastructure development expenses. Infrastructure implementing costs can consider investor marketing expenses, as well as the costs of R&D projects initiation and development considering investment risks. The model is based on a formal representation of products and services as interrelated services that require single or multiple actions of certain costs. It is proposed to present implementation of services based within the considered digital platform as a graph that connects IT infrastructure objects, service providers and providing services using the relations of infrastructural supply and implementation. In addition, there is a new effect of service emission. It arises when a subset of existing services and service accesses leads to generation of new services based on combination and intersection without using infrastructure. Analysis of the software platform efficiency is based on calculation of it’s implementation costs correlated with the income generated by the provided services. The proposed model has been used in practice as a part of the software for service industry virtual intermediary operators. It provides digital features by coordination of interaction between services providers and customers in integrated information space.

17. Fuzzy logic algorithms in the control system of a hybrid reflector antenna beamformer [№4 за 2018 год]
Authors: О.А. Belousov, Е.V. Ryazanov, А.S. Kolmykova, А.I. Dyakin
Visitors: 7554
The paper considers the questions of applying a fuzzy control algorithm in a beamformer. The example is high-efficiency antenna systems, which might include hybrid reflector antenna complexes that allow forming narrow or multi-beam radiation patterns possessing a high gain factor. A hybrid reflector antenna is an antenna system that consists of a multi-element irradiating grid and a mirror, which is usually performed in the form of a paraboloid of revolution. The irradiating array of the antenna consists of a set of active irradiators of a certain design. The antenna itself has a small mass and cost, as well as simple design. The paper justifies the feasibility of using fuzzy logic algorithms, which determines the working sector and the amplitude and phase value of each antenna array radiator in a hybrid mirror antenna depending on the situation at the initial stage. Later, this algorithm generates control actions in the form of an amplitude and phase (amplitude-phase distribution) and delivers these values to the transceiver where an appropriate phase shift occurs and an amplitude is formed on one of the radiators. Thus, within the working sector the main lobe is formed respectively oriented to this or that orbital position. The paper also shows the structural diagram of a controller and a control system, product rules, describes the input and output linguistic variables, gives the results of this algorithm in relation to a control object. As a result, the application of this algorithm in a beamformer control system will allow expanding the coverage area of a satellite transponder, adapting the tuning process of a satellite receiving earth station, increasing communication channel capacity, improving signal quality and jamming resistance under various conditions of satellite data operation.

18. Local trends for time series pre-preparation in forecasting problems [№4 за 2018 год]
Authors: Puchkov E.V., Belyavsky G.I.
Visitors: 6324
The paper focuses on the studying local trends that describe intermediate movements in non-stationary time series. The first part of the article considers the possibilities of methods of identifying patterns in historical trends using piecewise linear approximation, piecewise logarithmic approximation and the method of local principal components. Local trends have been created using the segmentation method of the bottom-up time series, which allowed identifying the main directions of time series movement. The paper determines the quality criteria and the algorithm for identifying local trends using the proposed methods. There have been some experiments for each time series preprocessing method. It is assumed that the sequence of historical local trends describes the long-term relationship in a time series and might be successfully used for forecasting, for example, based on hybrid neural network methods. The second part of the paper considers the classical application of the Hough transformation for random points approximation on a plane by line segments. There is a disadvantage of this method comparing with the dynamic Hough transformation that takes into account the sample dynamics and can be used in online learning. The authors consider the forecasting algorithm with simultaneous calculation of a local trend using the dynamic Hough transformation. The algorithm is easily extended to other methods of data ap-proximation, which have been considered in the first part of the paper. Computational experiments included real data and used the proposed method. They provided forecasts. The experiments showed that the proposed method helps determining time series trends. The complex periodicity electrocardiogram data and closing prices of Gazprom shares were used for all experiments.

19. A software model for studying the effectiveness of procedures for extracting contours of noisy images [№4 за 2018 год]
Authors: Samoylin E.A., S.A. Karpov
Visitors: 7903
The article develops one of the directions of digital image processing – extracting their contours. It is necessary to solve this task in order to recognize objects in the image (by geometry, the angles between contour fragments, etc.), to improve image visual quality, to emphasize the boundaries of objects of interest, contrasting, etc. Typically, digital images are recorded in difficult and adverse conditions, which leads to noise generation described by an additive Gaussian noise model. Therefore, the authors propose a software model that allows investigating the effectiveness of various methods, algorithms and procedures to extract noisy image contours. The model is based on comparing an image contour from a noisy image to an ideal contour of a similar image without noise. Then it is supposed to calculate the errors of detection of contour elements of the first (false alarm) and the second (pass) kind. In this case, the error calculation is carried out over the entire possible range of the mean square deviation σ of additive Gaussian noise. The paper gives some examples of extrating contours of real scene noisy images, as well as dependences of error frequencies of the first and second kinds on the mean square deviation of the amplitude noise from σ=0 to σ=200 (images at 256 levels of brightness amplitude quantization) for three procedures for contour extraction: based on Prewitt masks, Sobel mascs and the Laplacian of Gaussian. In addition, the authors study the influence of a noisy image linear filtering procedure on the decrease in the frequency of errors in the extrating contours of the first and second kinds.

20. Uniform distribution of computing processes and network load by the physical and logical cluster cores in UNIX-like systems [№4 за 2018 год]
Authors: E.V. Palchevsky, A.R. Khalikov
Visitors: 6094
The article is devoted to the uniform distribution of computing processes in clusters. The designed hardware-software module Distribution to distribute computing processes (including network load) by physical and logical cores of the CPU through modification of Markov chains in a computing cluster. The paper shows load dependence of physical resources on the launched tasks on a computing cluster. The use the hardware-software Distribution module is justified. The authors also calculate the distribution of the circuit to transfer computing processes between physical servers of a cluster. The load distribution system consists of three stages: the first one is the algorithm development, the second one is technical implementation, and the third one is testing of a hardware-software module. The first stage presents the features of the developed hardware-software module: start, stop, restart, network stack load testing, kernel load setting. The second stage gives the scheme of the developed hardware-software module. The third stage includes testing a hardware-software module. During the testing, it was confirmed that the load on the computing resources of the physical server decreases. The developed solution reduces the load by 11.15 units. It also allows simultaneous launching of complex and resource-intensive computing processes without disrupting computer performance.

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