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 № 3 at 2018 year.

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Public date | Title | Authors

21. IACPaaS cloud platform for the development of intelligent service shells: current state and future evolution [№3 за 2018 год]
Authors: Gribova, V.V., A.S. Kleschev, F.M. Moskalenko, V.A. Timchenko, Fedorischev L.A., E.A. Shalfeeva
Visitors: 6742
The paper describes the main features and functional capabilities of the IACPaaS cloud platform. It provides three models of cloud service delivery: PaaS, SaaS and DaaS. The platform is intended for development of specialized (i.e., oriented to specific domains and/or classes of solved problems) intelligent service shells, as well as for development of applied intelligent services using such shells. Intelligent service shells are also presented as cloud services of the platform. Development (maintenance) of applied services using a shell is reduced to formation (modification) of a knowledge base using the tools provided by this shell and binding it with a problem solver. The problem solver consists of a set of agents that are software components interacting with each other by exchanging messages. Specialized intelligent service shells use a domain-specific conceptual representation, which is defined by the ontology of the domain for which the shell is created, for knowledge representation. The knowledge base formation tool uses such problem-oriented model (language) for knowledge representation to generate user interface oriented on domain experts. As a result, domain experts can form and maintain knowledge bases and databases within a familiar conceptual framework (without cognitive engineers as intermediaries or additional training) and make no mistakes in using the language for knowledge representation. The IACPaaS platform provides a basic (universal) and a several specialized technologies for development of the applied intelligent service shells using tools that support these technologies. In addition, there is a technology of interaction between problem solver agents and external software (not included in the IACPaaS platform). It is based on the standard mechanism of HTTP request processing and the ability to run external software executable files from programs (scripts) located on a web server.

22. Improving logical inference speed of production expert systems using aspect-oriented approach [№3 за 2018 год]
Authors: Goncharov А.А., Semenov N.A.
Visitors: 5707
The reason for active applying of expert systems in various industries is their ability to solve problems of data interpretation, diagnosis, monitoring, design, forecasting, planning and training. Each expert system is based on a knowledge representation model. A production model, semantic networks and frames are the most common models. The production model is the one used most frequently. The paper considers the important shortage of production systems related to low efficiency of the logical inference process compared to other knowledge representation models. The paper describes the proposed method of increasing the efficiency of the logical inference process in production systems based on applying an aspect-oriented approach. The aspect-oriented approach allows identifying intersecting functional elements and providing their consolidation during architecture creation and system implementation. This approach was first introduced in 1997 and it remains popular at the present time. As the example, the article provides a set of production rules of expert system for selecting the requirements for a given level of control according to the requirements of guidance document of undocumented features. In this case, the facts are presented in the form of values of control levels and actions are presented as requirements to the selected level of control. The proposed aspect-oriented approach to organizing production systems provided an opportunity of increasing the speed of logical inference in expert systems. The separation of intersecting facts and actions from the set of production rules into aspects has made it possible to reduce the number of operations when searching for a solution and to eliminate exhaustive search for facts and actions.

23. Improving the accuracy calculation of time delay automatic control [№3 за 2018 год]
Authors: V.D. Than, Yu.N. Dementev, V.I. Goncharov
Visitors: 3271
The article considers accuracy problems of synthesis automatic control systems (ACS) with time delay. The questions cover the traditional approach based on approximation of a delay element transfer function by a rational fractional expression, as well as the original way that allows keeping an accurate description of the delay element when solving the problems of ACS regulator synthesis. The authors choose the last option, which is based on using a special case of the Laplace transform that provides a transition to the description of dynamical systems in the form of image functions with a real variable. This numerical method makes it possible to obtain discrete models of dynamic systems, combining the advantages of numerical methods and digital computing tools. Based on a numerical method the authors consider three topical problems of synthesis and research of the indicated class systems. The first one is related to a delay element approximation. The paper gives a comparative analysis of the approaches based on segments of the Taylor series, Padé fractions and the numerical method. The advantages of the latter are: higher accuracy and, most importantly, it is possible to redistribute the approximation error in the region of small/large values of time. Within the framework of the second problem the paper shows the possibility of forming and solving the synthesis equation for an automatic control system without approximation of a delay element ensuring the achievement of the potentially possible synthesis accuracy. The third problem reveals the possibilities of the numerical method in estimating the accuracy of automatic control system synthesis and the comparison of several options. The authors propose a variant of estimation that does not require the approximation of the delay element. A result is graphically illustrated and proved by numbers of examples.

24. The approaches to identification of network flows and organization of traffic routes in a virtual data center based on a neural network [№3 за 2018 год]
Authors: Bolodurina I.P., D.I. Parfenov
Visitors: 6121
Every year traffic in data transmission networks grows. Currently, their basis is Big Data traffic. The purpose of this study is to develop new methods for routing traffic in superimposed networks of virtual data centers. The effective construction of routes in modern computer networks that process Big Data flows is one of the most important indicators of the operation of data centers. In order to solve this problem, the authors developed an ensemble of models describing the approach to constructing adaptive routes in superimposed networks of a virtual data center. The novelty of the proposed solution is to develop a hybrid approach that allows (based on methods of data mining) managing routing in a virtual data center network, taking into account data on the status of network nodes, superimposed communication channels and QoS requirements imposed by traffic flows. The proposed route identification model allows solving such problems as determining the order of using chains of superimposed communication channels in a virtual data center network and establishing rules for providing quality of service for mission-critical traffic. A software-algorithmic solution is implemented based on the built models. It is a module for a controller of a software-configurable network. The algorithm described in the paper allows obtaining sets of quasi-optimal and optimal routing rules in polynomial time. The effectiveness of the proposed solution is proved by experimental research using a real network infrastructure of a virtual data center. Comparison of the results of an experimental study carried out using known routing algorithms showed a reduction in response time in the network, as well as a reduction in the load on network nodes processing traffic.

25. The English auction method for job scheduling with absolute priorities in a distributed computing system [№3 за 2018 год]
Authors: Baranov, A.V., V.V. Molokanov, P.N. Telegin, A.I. Tikhomirov
Visitors: 5533
The article considers the problem of job scheduling with absolute priorities in a geographically distributed computing system (GDS) when auction methods can be efficiently applied. Most latest papers use a market model where the subject of auction trades (goods) are computational resources, and their owners act as sellers. Buyers are users who participate in the auction to purchase computing resources for of their jobs execution. Such model assumes that customers have certain budgets in nominal or real money. Job priority is determined by the price that the user can pay to finish the job by certain time. The investigated GDS model differs from the known ones by thу fact that job priorities are absolute and assigned according to uniform rules. The main goal is the earliest execution of high-priority jobs. In this case, the concept of the user's budget becomes meaningless, and the classic auction models do not work. The authors propose a new approach when the subject of auction trades are jobs, and resource owners act as buyers paying for jobs with available free computing resources. Within this approach, the authors consider the English auction as the most preferred method for job scheduling with absolute priorities in GDS. The main characteristic of the scheduling algorithm, which is based on this method, is the duration of an auction. The paper presents experimental evaluation of the optimal duration of the English auction in reference to the average job processing time.

26. Principles of software construction for electronic system thermal design [№3 за 2018 год]
Authors: Madera A.G., Kandalov P.I.
Visitors: 5853
The paper considers conceptual issues on developing a multifunctional software package for thermal design of complex electronic systems. The software package is intended to carry out mathematical and computer analysis of the nonlinear unsteady-state stochastic and determine thermal processes and temperature distributions in electronic systems of any structural complexity and the impact of destabilizing factors. A multifunctional software package should provide a graphical representation of both source data and computer modeling results in the form of tables, graphs, diagrams, etc. Computational algorithms that implement mathematical models should be written and optimized both for personal computers and supercomputer systems through their paralleling using Message Passing Interface (MPI) or Open Multi-Processing (OpenMP). The basic programming language for developing the developed software package is C#. It provides a cross-platform, development speed and convenience, support for selective optimization in C++ and C. An integrated development environment is Microsoft Visual Studio that runs only Microsoft Windows platform. It is possible to run development programs in Linux or Mac OS X using non-Microsoft .NET implementations like Mono. The authors consider the architecture of the developed software package divided into three levels. They are: a presentation level, a business logical level, and a database level that allows effective optimizing the software package, extending its functionality and supporting several platforms like Mac OS X or Linux.

27. A program for calculation of controller settings by the method of advanced frequency characteristics [№3 за 2018 год]
Authors: Margolis B.I., G.A. Mansour
Visitors: 8502
The paper considers the problem of calculating settings of typical general industrial controllers in automatic control systems for technological objects. It shows the possibility of applying the Nyquist stability criterion for extended system frequency characteristics. It also formulates the problem of ensuring the necessary quality of a transient process in a closed system due to the provision of the given degree of oscillation. The obtained condition for the given system oscillation ensures that the controller settings are located on the equal damping line. The paper considers the extended frequency characteristic of the PID controller for the case when a component is introduced into it as a real differentiating element. The authors have obtained the formulas for finding PID controller settings using extended frequency characteristics in the form of parametric dependencies. There are also relations obtained from general formulas for PI and PD controllers. A program developed in MatLab based on the proposed method allows calculating optimal controller settings by the criterion of minimum deviation of transient time and overshoot from the set values. There are also the results of calculating PID controller settings for a control example and the obtained equal damping lines. The paper presents the best transient processes for each of the equal damping lines and the optimal process satisfying the required quality characteristics. It also shows the disadvantages of the method of extended frequency characteristics in the proposed formulation. The paper considered the possibilities of alternative formulation of the problem of synthesizing controller settings and the application of the proposed methods for finding controller settings in multi-loop systems for automatic control of technological objects.

28. Development of the spontaneous structuring algorithm of natural complex digital images [№3 за 2018 год]
Authors: E.Ya. Ostrovsky, S.V. Rumyantsev, V.A. Fadeev
Visitors: 4279
The paper considers the way of improving the algorithm of spontaneous formation of a consistent structure on digital matrix objects with observation data of parameters (magnetic, gravimetric, radioactive etc.) of the natural complex under investigation. In the section “A Spontaneous Structuring Concept: Chaos Self-Organization in Stable Homogeneities – Structure Parts” the authors state the problem. They consider a spontaneous structuring technique that is alternative to traditional technologies and reveals stable properties (signs), creates a unique (only possible) consistent structure. In the section “The Algorithm of Spontaneous Formation of a Unique Highly Informative Structure” the authors consider the algorithm as a sequence of key stages that form the basis of the technique of the spontaneous formation of a consistent structure. The section “Experience in Applying Spontaneous Structuring Technique” gives brief overview of technology application. In section “Human Factor or the Role of an Expert in Using the Technology” the authors emphasize the role of a man as an expert when using the spontaneous formation technology of a consistent structure. The conclusion contains possible applications of the technology. Thus, technology development (conception, algorithm and software) for consistent structure formation in the form of a set of the non-crossing stable multidimensional homogeneities (contiguity associations) that represents regions of adequate extrapolation (forecasting) of objects in them.

29. A hybrid algorithm for solving optimization problems of computer-aided design and its software implementation [№3 за 2018 год]
Authors: L.A. Gladkov, S.N. Leyba, V.B. Tarasov
Visitors: 8305
The article suggests a hybrid algorithm for solving complex design optimization problems. The work of the algorithm is examined using the example of solving the problems of placement and tracing elements of digital electronic computing equipment circuits. The paper gives a problem statement, limitations of the admissible solutions domain and formulates a criterion for estimating the quality of solutions. The authors propose a new hybrid approach to solving this problem based on a combination of evolutionary search methods, the mathematical apparatus of fuzzy logic and the possibilities of parallel organization of the computational process. They also propose a modified migration operator to exchange information between solution populations in the process of performing parallel computations. The structure of the parallel hybrid algorithm is developed. The paper proposes implementation of the fuzzy control module based on using a multilayer neural network and the Gaussian function. It also notes the main differences of the proposed structure of a neural network from “traditional” neural networks. The basic principles of the fuzzy control unit are formulated. The authors consider the features of software implementation of the proposed hybrid algorithm in detail. They also state the requirements to the architecture of the developed program taking into account the need to support the modularity and extensibility of the application. There are some examples of the description of a printed circuit board element based on existing specifications. The paper describes the interface structure and the main elements of the graphic interface of the developed application. To assess the quality of the obtained solutions and the search for solutions in general, it was suggested to use parameters characterizing the dynamics of changes in the mean and the best values of the objective function, as well as the diversity of the population. There is a brief description of the computational experiments that confirm the effectiveness of the proposed method. The paper shows dependencies of the probability of the performance of genetic operators on control parameter values.

30. Kvorum – the system for modeling the behavior of robotic agent groups with elements of social organization [№3 за 2018 год]
Authors: V.E. Karpov, M.A. Rovbo, E.E. Ovsyannikova
Visitors: 9685
The paper describes the Kvorum architecture, which is a multi-agent modeling environment designed to develop constructive solutions and algorithms of robot agents’ individual behavior, as well as for modeling behavior of large groups of robots. The main objective of the system is to provide tools for research in applying social organization methods in group robotics. Kvorum is a prototype simulation and agent modeling system that abstracts the complexity of a physical system and provides convenient interfaces and library modules for modeling groups of mobile robots and internal structures of individual agents. It was built as a modular, easily extensible system focused on modeling systems with a large number of agents by simplifying physical and other effects, and also by the ability to perform simulations using parallel computations. It is shown that the proposed method for modeling such systems is applicable to a wide range of problems from the field of group robotics with social structure elements (as well as for common robotics and group robotics problems in general). Some features of architecture and models in Kvorum allow it to be expanded in subsequent iterations to fully support simulation on parallel computing systems. One of the important Kvorum features is the focus on controlling real robotic systems. For this purpose the system provides the same control control interfaces of both computational models and real robots. The system was tested on some specific problems of group robotics, in particular those that use social structure mechanisms, as well as on a group of laboratory robots of different types that support the simulation system interface.

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