Vol 17, No 1 (2019)

Articles
EMPLOYEES TRAINING FOR THE DIGITAL ECONOMY
Mishin D.V.
Infokommunikacionnye tehnologii. 2019;17(1):7-9
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COMPARISON OF HYPEREXPONENTIAL DISTRIBUTION AND OTHER MODELS FOR POSITIVELY DEFINED RANDOM VARIABLES
Kovalenko A.I., Smirnov S.V.
Abstract
Due to the necessity of creating complex system models with a large number of possible states (for example, network-centric control systems), there is a need for qualitative and quantitative selection of a model that takes into account essential characteristics of random phenomena from the practical standpoint and is characterized by moderate computational difficulties in application. In the article we compare various models of positively defined random variable with hyper exponential distribution of special Hs -type based on empirical numerical characteristics: expectation and variance. We study the log-normal, gamma, and Weibull-Gnedenko distributions. All these distributions are examined under the parameters providing a decreasing intensity of “failures” and the coefficient of variation being greater than one. The uniform and average metrics are considered in the space of distribution functions as quantitative estimates of the proximity of the Hs -distribution to the rest of the models. The possibility of replacing two-parameter distributions of a positively defined random variable by the hyperexponential Hs -distribution of a special type is shown. Estimates of the effectiveness of such an approximation for various sets of parameters and examples of its application are given. An example of calculating the stationary probability characteristics of a system with server failures is considered, where the basic Weibull-Gnedenko distribution is replaced by the hyperexponential distribution of a special type. According to the criteria considered, for small coefficients of variation Hs -distribution has the best approximation properties in relation to the Weibull-Gnedenko distribution, for large ones - to the log-normal distribution. In general, the larger the coefficient of variation is, the more precisely the possibility of describing the observed random variable by the hyperexponential distribution should be tested. But in case of such approximation admissibility, the use of the hyperexponential distribution greatly simplifies the analytical modeling of complex systems due to the splitting of states into phases, the sojourn time having exponential distributions.
Infokommunikacionnye tehnologii. 2019;17(1):9-16
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QUEUEING SYSTEM HE2/HE2/1
Tarasov V.N., Bakhareva N.F., Kada O.
Abstract
The article is devoted to the analysis of the queuing system HE2/HE2/1 type G/G/1 with hyper Erlangen input distributions of the second order. The goal is to obtain a solution for the average waiting time for requests in the queue. To achieve it, the classical method of spectral decomposition of the solution of Lindley integral equation is used. For the practical application of the results obtained, the method of moments is used. It turns out that the hyper Erlangen distribution law HE2, same as the hyperexponential law H2, which has three parameters, can be defined by both the first two moments and the first three moments. The article proposes an approximation mechanism for the hyper Erlangen law of arbitrary distributions using the well-known method of moments. The choice of such a law of probability distribution is due to the fact that its coefficient of variation is larger and covers a wider range than the hyperexponential distribution law, for which the coefficient of variation is greater than one. The method of spectral decomposition of the solution of the Lindley integral equation for the QS HE2/HE2/1 allows one to obtain a closed-form solution. Thus, the system under consideration allows working with coefficients of variations in the intake intervals and service time in the range ( , ∞), which expands the field of application of QS. The resulting formula for the average waiting time for the HE2/HE2/1 system complements and extends the well-known formula for the average waiting time in the G/G/1 system with arbitrary laws of the distribution of input flow intervals and service time.
Infokommunikacionnye tehnologii. 2019;17(1):17-23
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BENDING RESILIENCE STUDY FOR COMMUNICATION CABLES AT THE LOW NEGATIVE TEMPERATURES
Alekhin I.N., Gavryushin S.A., Popov V.B., Nikulina T.G., Motin K.I.
Abstract
The article presents the results of the analysis of the normative-technical documentation and the test methods for assessing the resilience of communication cables to negative temperatures. The method of testing the resilience to low temperatures for the protective polyethylene sheath of cable and for the cable itself is considered. Based on the analysis performed, a method of bending resilience testing at an ambient temperature of minus 60 degrees Celsius is proposed. According to the proposed method, two samples of communication cables were studied: symmetric high-frequency cable with film-porous-film polyethylene insulation and symmetric high-frequency communication cable with cord-polystyrene insulation. The results of experimental studies show a high resilience of the outer polyethylene sheath of tested cable samples.
Infokommunikacionnye tehnologii. 2019;17(1):23-28
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COMPARISON OF DIFFERENT APPROACHES FOR ESTIMATING THE AVERAGE WAITING TIME IN THE QUEUE FOR QUEUING SYSTEM Н2/Н2/1
Kartashevskiy I.V., Malakhov S.V., Mezentseva E.M.
Abstract
The article discusses two different approaches for estimating the average waiting time of a request in a queue for queuing systems with second order hyperexponential distribution of interarrival and service time. The first approach involves solving the Lindley integral equation using the spectral method and reduces to finding an expression for the spectral decomposition as a composition of two multipliers that would give a rational function of an argument. The second approach is based on the assumption of ergodicity of the initial sequence of waiting time for a request in a queue considering the rational form of the Laplace transform from the exponent. The key point of this approach is the usage of the characteristic function defined by the Laplace transform for the probability density function of the sum of the random variables. To calculate the average delay time in the queue, the parameters of hyperexponential distributions are determined with the approximation of random variables defining the interarrival and service time at the level of three moment characteristics. This approach is designed to improve the adequacy and reliability of queuing models. In addition, only for the input distributions of the queuing system described by the hyperexponential distribution of the second order we can get an analytical solution for average waiting time.
Infokommunikacionnye tehnologii. 2019;17(1):28-33
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ANALYSIS OF GENERAL QUEUING SYSTEM WITH SELECTS FUNCTIONS
Buranova M.A., Kartashevskiy V.G.
Abstract
Delay and jitter are very important parameters that determine the quality of service of multiservice networks. They are of particular importance in networks with multimedia stream processing. In this paper, we consider the G/M/1 queue system and the problem of estimating jitter in this system. The paper presents an analytical model for estimating jitter delay when a network load changes. The results of an analytical model for estimating jitter delay in packet transmission are analyzed. An estimate of the packet delay in the simulation model was obtained depending on the network load for various variants of random distribution of time intervals between packets. A technique for estimating jitter in a simulation model was proposed where streams with exponential packet length distribution and exponential, Pareto and Weibull distributions of time intervals between packets, used as examples of random distribution, were processed. A comparison of the results of simulation modeling and analytical estimation of jitter is given.
Infokommunikacionnye tehnologii. 2019;17(1):34-41
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STATIONARY CHARACTERISTICS OF UNRELIABLE SYSTEM WITH BRANCHING STRUCTURE AND ELEMENTS’ MAINTENANCE
Peschansky A.I.
Abstract
The research object is a tree-system of the branching structure. Each element of any level controls several elements of a lower level and is controlled by one element of a higher level. The elements of the same rank are assumed to be of the same type. Any element failure of the system is detected instantly and its restoration begins immediately. During the element failure, all the following associated elements stop operating and being restored. It also disables all elements that precede the failed element and do not belong to any other operable path. When the element is restored, all the previously disabled functional elements, which form a workable path with the restored element, also begin operating. The system is considered to fail if there is not a single operable path connecting the main element and output. All the random variables describing the system are assumed to have distributions of general kind. To improve stationary reliability and economical indexes preventive maintenance is carried out according to the age strategy. By means of an apparatus of the theory of semi-Markov processes with a discrete-continuous set of states, iteration formulas for calculating operating efficiency, average specific income and average specific expenses are obtained. The expressions obtained for these stationary characteristics in explicit form allow to get optimal intervals of elements’ maintenance. A numerical example of applying the obtained calculation formulas is given.
Infokommunikacionnye tehnologii. 2019;17(1):41-49
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SIMULATION MODELING BUSINESS PROCESS OF DEVELOPMENT AND CUSTOMIZATION OF INTEGRATION DECISIONS IN THE INTERESTS OF IT-COMPANY MANAGEMENT
Dimov E.M., Maslov O.N., Khadzhieva S.V.
Abstract
IT system integrator companies are struggling not only for the opportunity to be the first in the information technology market, but also for employees. The subject of the research is the process of distributing employees to teams. To assess the effectiveness of the distribution of employees to teams, it was proposed to use the method of statistical simulation modeling according to Dimov-Maslov. The authors studied the specifics of the activities of IT companies, described a business process model and performed a formulation of modeling problems in the interests of management. Using the obtained results will allow identifying bottlenecks in the functioning of the business process, taking into account the influence of random factors, tracking the statistics and system behavior in time and losing scenarios for various manning options.
Infokommunikacionnye tehnologii. 2019;17(1):49-63
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APPLICATIONS OF SIMULATION IN THE BUSINESS PROCESS
Bogdanova E.A., Mikhalenko I.A.
Abstract
The article presents the rationale for the application of statistical simulation modeling as one of the methods for processing large amounts of data, which can significantly improve the efficiency of decisions taken in various fields of activity. The issues related to the development of a statistical simulation model of a business process for finding and selecting a supplier of products are considered on the example of an organization for the production of dairy products. A flowchart of the business process, its detailed description is given, and an analysis of the business process under consideration in the interests of simulation modeling is conducted, during which the random variables that are most significant for the simulation of this process are highlighted. To create a model, the laws of distribution of all selected random variables were determined, a modeling algorithm and a model experiment plan were developed. The article presents the result of an experiment conducted on a simulation model.
Infokommunikacionnye tehnologii. 2019;17(1):63-69
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INTERFERENCE SIGNAL ANALYSIS FOR BI-TAPERED FIBER SENSOR
Golovkina M.V.
Abstract
In this paper the characteristics of bi-tapered optical fibers for biomolecular sensing are considered. This highly sensitive fiber sensor can be used for the label-free detection of biomolecules and for refractive index sensing. The presence of bi-tapered region with small diameter leads to the transformation of the fundamental mode energy into the energy of higher-order modes. The availability of multiple modes creates an interference pattern in the output signal. The magnitude of the interference output signal depends on the geometric sizes of the sensor and on the refractive index of the surrounding medium. In this paper, Maxwell's equation for step-index fiber is considered and its numerical solution is performed. Based on the obtained numerical solution, the magnitude of the output signal is calculated depending on the refractive index of a biological solution. It is shown that the sensor studied has a high sensitivity to the change in the refractive index.
Infokommunikacionnye tehnologii. 2019;17(1):69-75
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TEST-DRIVEN DEVELOPMENT METHODOLOGY OF ARCHITECTURAL COMPONENTS FOR iOS MOBILE APP “THE MOSCOW SERVICES”
Bogomolova M.A., Klementyev S.A.
Abstract
The proposed methodology is focused on the iOS mobile app “State services of Moscow” architecture and can be used for the scenes app development. Using this methodology, the three architectural components (View Controller, Interactor and Presenter) for the scene of citizen’s social card registration were developed step by step: scenes in the form of classes, and also unit-tests for these classes were implemented. The written code shows the development features and can be used as an example for creating new scenes. Using the unit-testing methodology of the iOS mobile app “The Moscow Services” allows to minimize the number of defects in the app, reducing the correction defects cost, and also to contribute for cleaner code writing and user-friendly class interfaces development.
Infokommunikacionnye tehnologii. 2019;17(1):75-85
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APPLICATION OF BLIND IMAGE CORRECTION METHODS TO ORLAN HARDWARE AND SOFTWARE SOLUTION
Goryachkin O.V., Gusev N.A.
Abstract
This article provides an analysis of the algorithm for blind deconvolution of distorted images to determine the possibility of its application to computer vision systems. The original and blurred license plate images were analyzed by a computer recognition system used in Orlan complex. By studying the results, optimal parameters for image reconstruction were found. These parameters allow to obtain the maximum accuracy of license plate recognition. Compared to the other recovery algorithms, the method under consideration shows better results. Computational complexity of the considered algorithm allows it to be used in real time computing. The article also presents data on the comparative performance analysis of various image correction algorithms. The experiments show that the proposed algorithm can be used in embedded systems in order to improve the accuracy of subsequent analysis and classification of images.
Infokommunikacionnye tehnologii. 2019;17(1):82-89
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UWB ANTENNA EXPERIMENTAL STUDY
Abdrakhmanova G.I., Meshkov I.K., Knyazev N.S., Sultanov A.K.
Abstract
The paper describes an experimental study of a fractal miniature antenna radiator, which operates in ultra wideband band 3,13…15 GHz. The antenna is constructed using Rogers RO4350B material, which is a thermosetting polymer with the addition of ceramics. It was assembled on the basis of the printed circuit boards technology and complies to the 5th class of accuracy. The total antenna size including the connector equals to 19×39 mm2, its radiating part is simple and consists of two modified circles. The antenna was measured in anechoic chamber, which has proven its characteristics, including the acceptable matching in the mentioned band. Since it provides simplicity and cost reduction in case of mass production, it can be used in many other areas, such as 3G-5G and Radio-over-Fiber networks.
Infokommunikacionnye tehnologii. 2019;17(1):90-96
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OBJECT RECOGNITION METHOD BASED ON CLUSTERING ANALYSIS OF FUZZY SITUATION
Ryzhakov V.V., Ryzhakov K.V., Ryzhakov M.V.
Abstract
The article highlights the aspects determining various conditions that complicate obtaining and formalizing the initial actual information about the object being monitored or localized at a certain point in time. Taking into account the above aspects, it is recommended to use fuzzy information as the basis for the methods of object recognition. To develop this direction, it is proposed to use so-called algebra-scales and appropriate methods of scaling and clustering to obtain and convert fuzzy information. In order to generalize this information, the article uses the concept of fuzzy situation. The current and typical situations are isolated. Their aggregates define (characterize) both the observed image of the object, and its possible typical image, which corresponds to specific circumstances. In order to recognize the image of an object more quickly, it is recommended to use cluster analysis, which allows to combine typical situations into clusters with certain properties, and to trace the movement of the current situation inside the specified clusters using the fuzzy inclusion or equality relations. This, to a significant degree, makes it possible to increase the efficiency of deciding on an appropriate response to the behavior of the observed object. It is proposed to develop and program such solutions in advance. The article contains analytical expressions of algorithms necessary for implementing the method of object recognition and provides an example of clustering of typical situations using matrices.
Infokommunikacionnye tehnologii. 2019;17(1):96-100
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INFORMATION TECHNOLOGIES OF THE DIGITAL ECONOMY: EDUCATIONAL AND RESEARCH ASPECTS
Dimov E.M., Maslov O.N.
Abstract
The educational and research aspects of the formation of the digital economy (DE) by using modern info-communication (ICT) and information (IT) technologies are considered. The role of ITs, which they perform when creating DE by introducing new ICTs into production technologies and expanding the concept of Industry 4.0 to Society 5.0, is noted. The problem of creating a national system of generation and implementation of innovative knowledge, without which the formation of DE in Russia is impossible, is discussed. Research results in the field of DE, which are conducted by the scientific school “Imitation simulation and management of complex processes in organizational-technical and socio-economic systems”, created by the Russian Academy of Natural Sciences on the basis of Applied Informatics Department of PSUTI, are presented. The importance of complex approach to implantation of new IT, ICT and production technologies is illustrated with specific examples. Educational and research projects in the field of DE, performed by undergraduate and graduate students of PSUTI in 2010-2018, are presented. Difficulties of transition to Society 5.0 in view of crisis threats and anti-Russian sanctions are noted. The necessity of lifting and democratization of knowledge in the interests of increasing the efficiency of corporate management during the formation of DE has been shown.
Infokommunikacionnye tehnologii. 2019;17(1):100-115
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OF MEDICAL INFORMATION SYSTEM FOR INTENSIVE CARE UNITS
Malahov I.A., Matveeva E.A., Shuk N.N.
Abstract
The article deals with the problems of the process of informatization of public health connected with the design of specialized medical information systems. A particular example shows the stages of designing of an information system for intensive care units. The specifics of the department are considered. The indicators that have the greatest importance on the adoption of managerial decisions have been determined. The structure and logic of the creation of the data model, the construction of links in the database are determined. The main nuances that are worthy of attention when developing information systems for intensive care units and intensive care units are taken into account, in order to minimize existing errors in the design of narrowly focused medical information systems. The article discusses the logic of table relationships in the database, which is the basis for building the entire system.
Infokommunikacionnye tehnologii. 2019;17(1):115-122
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INTERACTION SPECIFICS BETWEEN ENTERPRISES AND UNIVERSITIES IN DIGITAL ECONOMY CONTEXT
Danilaev D.P., Malivanov N.N.
Abstract
In the article the Enterprise-University Digital Cluster idea in the context of Digital Economy concept is considered. The digitalization concept segments are isolated, which determine the context of the interaction between the the cluster subjects. Specialists’ training models and forms can change significantly and move to a new digital platform. Based on the unified information environment, a new functionality appears in the form of coordinated competency models of the university graduate and enterprises expert, banks of competences, adaptive educational programs and modules. New forms of interaction allow reducing the transitional period of production digitalization at the existing enterprises.
Infokommunikacionnye tehnologii. 2019;17(1):122-130
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