<?xml version="1.0" encoding="utf-8"?>
<journal>
  <titleid/>
  <issn>2687-0517</issn>
  <journalInfo lang="ENG">
    <title>Computing, Telecommunication and Control</title>
  </journalInfo>
  <issue>
    <number>1</number>
    <altNumber>188</altNumber>
    <dateUni>2014</dateUni>
    <pages/>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>9-16</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Benderskaya</surname>
              <initials>Elena</initials>
              <email>helen.bend@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Soft Computing Based on Nonlinear Dynamic Systems: Possible Foundation of New Data Mining Systems</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article describes how the structure of AI systems is formed through an incoming image in nonlinear dynamic systems. The main steps of a new approach to solve the problem of image recognition, as well as its strengths and limitation are presented. An example of the use of a chaotic dynamic system to solve a clustering problem is shown.</abstract>
        </abstracts>
        <codes>
          <udk>004.383.8,004.85=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>soft computing</keyword>
            <keyword>nonlinear dynamic system</keyword>
            <keyword>AI</keyword>
            <keyword>chaotic dynamics</keyword>
            <keyword>image recognition</keyword>
            <keyword>pattern recognition</keyword>
            <keyword>Turing machine</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.1/</furl>
          <file>1_benderskaya.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>17-22</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Fedorov</surname>
              <initials>Aleksandr</initials>
              <email>aleksandr.v.fedorov@gmail.com</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Potekhin</surname>
              <initials>Vyacheslav</initials>
              <email>slava.potekhin@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Intelligent Processing Algorithm of Ultrasound Images in Biomedicine</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">A software package for ultrasound imaging in the form of an elastogram has been developed to measure stiffness of human tissue. A technique for obtaining elastograms is based on the least squares method and identification of feature points in images. The method can be used for clinical purposes when ultrasound machines have no elastogram display.</abstract>
        </abstracts>
        <codes>
          <udk>004.4, 004.6=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>elastography</keyword>
            <keyword>ultrasound image</keyword>
            <keyword>image processing</keyword>
            <keyword>machine learning</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.2/</furl>
          <file>2_fedorov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>23-30</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Zobnin</surname>
              <initials>Sergey</initials>
              <email>sergey.s.zobnin@gmail.com</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Polyakov</surname>
              <initials>Vadim</initials>
              <email>vadim7702@yandex.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">An Intelligent Time Series Storing and Inference Engine Implementation with Focus on Performance and High Levels of Abstraction</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This paper covers several aspects of intelligent time series database implementation. It also includes the description and analysis of a symbolic time series representation scheme. The paper focuses on various indexing and parallelization approaches in conjunction with actual backend storage engines. Special emphasis is made on identifying the problem of combining simple queries with time series pattern search and retrieval requests and finding a solution to this problem. The paper also considers query definition and provides the general architecture of a time series database with data mining capabilities.</abstract>
        </abstracts>
        <codes>
          <udk>004.82:004.62=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>time series</keyword>
            <keyword>database</keyword>
            <keyword>distributed system</keyword>
            <keyword>indexing</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.3/</furl>
          <file>3_zobnin.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>31-36</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Vorobyev</surname>
              <initials>Stanislav</initials>
              <email>s.vorobjev@gmail.com</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Potekhin</surname>
              <initials>Vyacheslav</initials>
              <email>slava.potekhin@mail.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Semenov</surname>
              <initials>Semen</initials>
              <email>ussrcom@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Filtering Method for Analysis of the Image Received by Microwave Probing</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article offered a complex of program procedures which can be used to process the point arrays of the space complex amplitudes obtained after reconstructing the images received by microwave probing. The procedures allow creating space «depth maps» of the probed object by filtering and fitting algorithms. The detail level is enough to make a comparative analysis with «depth maps» of video systems based on pairs of stereo video cameras.</abstract>
        </abstracts>
        <codes>
          <udk>533.9.082.74=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>intelligent image filtering systems</keyword>
            <keyword>microwave technology</keyword>
            <keyword>images of radiowave probing</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.4/</furl>
          <file>4_vorobyev.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>37-44</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Balashov</surname>
              <initials>Evgeny</initials>
              <email>balashov_ev@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <researcherid>E-4229-2017</researcherid>
              <scopusid>7103063234</scopusid>
              <orcid>0000-0001-8407-6528</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Alexander</surname>
              <initials>S.</initials>
              <email>korotkov@rphf.spbstu.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Feedback Ultra-wideband Amplifier with Unbalanced Input and Balanced Output.</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">A new type of UWB LNA presents. The amplifier has got a novel feedback topology and load circuit that allows the designer to obtain a high voltage gain and matching in the wide frequency range from 3.1 GHz to 10.6 GHz without cascading, current reuse technique and an additional matching circuit. The key point of the amplifier is the source degeneration with resistive shunt series feedback and the load circuit based on the combined parallel-series resonance circuit. The voltage gain of the amplifier is 9.7 dB, matching is better than –10 dB, the noise figure lies between 5.4 and 7 dB in the whole frequency range.</abstract>
        </abstracts>
        <codes>
          <udk>621.396.62 =111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>CMOS</keyword>
            <keyword>LNA</keyword>
            <keyword>active Balun</keyword>
            <keyword>UWB</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.5/</furl>
          <file>5_balashov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>45-50</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Ivanov</surname>
              <initials>Nikita</initials>
              <email>ivanovnick@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <researcherid>E-4229-2017</researcherid>
              <scopusid>7103063234</scopusid>
              <orcid>0000-0001-8407-6528</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Alexander</surname>
              <initials>S.</initials>
              <email>korotkov@rphf.spbstu.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">A 180-nm CMOS High-linear Complex Gm-C Filter for Receivers of Satellite Navigation Systems</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Realization of high-linear Gm-C complex filter in 180-nm CMOS technology to be used in satellite navigation system receivers is covered. The filter with 25 MHz bandwidth was designed with THD of about 80 dB.</abstract>
        </abstracts>
        <codes>
          <udk>621.372.54=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>Gm-C filters</keyword>
            <keyword>complex filters</keyword>
            <keyword>satellite navigation systems receivers</keyword>
            <keyword>transconductance amplifier</keyword>
            <keyword>180-nm CMOS</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.6/</furl>
          <file>6_ivanov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>51-61</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Ampilova</surname>
              <initials>Nataly</initials>
              <email>n.ampilova@spbu.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Soloviev</surname>
              <initials>Igor</initials>
              <email>i.soloviev@spbu.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Shupletsov</surname>
              <initials>Yuri</initials>
              <email>yury.shupletsov@gmail.com</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">On Fractal, Statistical and Morphological Methods of Digital Image Analysis in Medical Research</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The applicability of some methods of analysis and classification to the images of biomedical preparations is discussed. For images of blood, connective tissue and bone tissue fractal characteristics were calculated. When researching the images of blood obtained by the sensitive crystallization method, statistical, morphological and spectral signs were obtained, which were classified by a software modeled artificial neural network. The results of numerical experiments are given.</abstract>
        </abstracts>
        <codes>
          <udk>004.932.2=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>image analysis</keyword>
            <keyword>fractal methods</keyword>
            <keyword>neural networks</keyword>
            <keyword>biomedical preparations</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.7/</furl>
          <file>7_ampilova.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>62-68</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Okolnishnikov</surname>
              <initials>Viktor</initials>
              <email>okoln@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Rudometov</surname>
              <initials>Sergey</initials>
              <email>rsw@academ.org</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">A System for Computer Simulation of Technological Processes</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">A new simulation system for computer simulation of technological processes is described. The paper contains a brief description of the simulation system and its characteristics, in comparison to analogous commonly used systems. Also there is a description of existing and perspective applications for this simulation system that proves its usability and reliability.</abstract>
        </abstracts>
        <codes>
          <udk>519.876.5=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>simulation</keyword>
            <keyword>technological systems</keyword>
            <keyword>automated process control systems</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.8/</furl>
          <file>8_okolnishnikov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>69-75</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Garanina</surname>
              <initials>Natalia</initials>
              <email>garanina@iis.nsk.su</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Eleusis: Perfect Recall for Inductive Reasoning</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This paper formalizes a variant of inductive game Eleusis. A model of the game is an interpreted system with perfect recall agents for the players and the dealer. The pecularity of Eleusis multi-agent system is that the agents have to guess the behavior of the system, rather than some static information about the system. We express some Eleusis rules and properties of the system by the formulas of propositional knowledge logic and branching time Act-CTL-K_n.</abstract>
        </abstracts>
        <codes>
          <udk>164=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>multiagent systems</keyword>
            <keyword>epistemic logic</keyword>
            <keyword>Eleusis</keyword>
            <keyword>perfect recall</keyword>
            <keyword>interpreted systems</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.9/</furl>
          <file>9_garanina.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>76-82</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Potekhin</surname>
              <initials>Vyacheslav</initials>
              <email>slava.potekhin@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Loginov</surname>
              <initials>Anatoly</initials>
              <email>a_loginov@inbox.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Akulov</surname>
              <initials>Dmitrii</initials>
              <email>dmitryab87@ya.ru</email>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <surname>Poletaev</surname>
              <initials>Ivan</initials>
              <email>polivager@mail.ru</email>
            </individInfo>
          </author>
          <author num="005">
            <individInfo lang="ENG">
              <surname>Konishchev</surname>
              <initials>Mikhail</initials>
              <email>mak@cef.spbstu.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Intellectual Control Algorithm for Reducing the Aerodynamic Interaction at Autonomous Wind Farm.</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article deals with the problem of wind farm intellectual control. It describes an intellectual control algorithm developed by the authors, and considers the aerodynamic interaction of wind turbines which can decrease total energy output. An autonomous wind farm has been modelled in Matlab/Simulink. Wind farm work with the application of an intellectual control algorithm is compared with the conventional one.</abstract>
        </abstracts>
        <codes>
          <udk>621.311.24=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>intellectual control algorithm</keyword>
            <keyword>wind turbine</keyword>
            <keyword>autonomous wind farm</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.10/</furl>
          <file>10_potekhin.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>83-90</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Tyzhnenko</surname>
              <initials>Denis</initials>
              <email>tyzhnenkod@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Vasilyeva</surname>
              <initials>Anastasiia</initials>
              <email>vasilyeva.anastasia@bk.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Valov</surname>
              <initials>Pavel</initials>
              <email>valov.pm@gmail.com</email>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <surname>Potekhin</surname>
              <initials>Vyacheslav</initials>
              <email>slava.potekhin@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Intelligent Informational-measuring System for Monitoring and Optimization of Power Consumption</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">An intelligent informational-measuring system for monitoring and optimization of power consumption was developed for the use by housing and communal services.</abstract>
        </abstracts>
        <codes>
          <udk>004:005=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>automated informational-measuring system for accounting of power consumption</keyword>
            <keyword>automated system for accounting and control of power resources</keyword>
            <keyword>intelligent informational-measuring system</keyword>
            <keyword>intelligent equipment for accounting of power resources</keyword>
            <keyword>analysi</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.11/</furl>
          <file>11_tyzhnenko.pdf</file>
        </files>
      </article>
      <article>
        <artType>CNF</artType>
        <langPubl>RUS</langPubl>
        <pages>91-98</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Mescheryakov</surname>
              <initials>Sergey</initials>
              <email>serg-phd@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Shchemelinin</surname>
              <initials>Dmitry</initials>
              <email>dshchmel@gmail.com</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Analytical Overview of Zabbix International Conference 2013</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Zabbix International Conference is a growing annual meeting of professionals from various countries and IT companies where Zabbix enterprise-class automated control system is used. Zabbix Conference doesn’t have its own proceedings published; only abstracts and presentation media are available on Zabbix web site [1]. This article is an analytical overview of six top presentations that are the most interesting, innovative and valuable for computer science and business.</abstract>
        </abstracts>
        <codes>
          <udk>681.3.016=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>automated control</keyword>
            <keyword>database</keyword>
            <keyword>Big Data</keyword>
            <keyword>cloud computing</keyword>
            <keyword>distributed environment</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.12/</furl>
          <file>12_mescheryakov.pdf</file>
        </files>
      </article>
      <article>
        <artType>CNF</artType>
        <langPubl>RUS</langPubl>
        <pages>99-104</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Mescheryakov</surname>
              <initials>Sergey</initials>
              <email>serg-phd@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Shchemelinin</surname>
              <initials>Dmitry</initials>
              <email>dshchmel@gmail.com</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">International Conference for the Performance Evaluation and Capacity Analysis by CMG</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The CMG International Conference for the resource management and performance evaluation of enterprise computing systems is held in the USA annually since 1975. CMG Conference meets together technical experts to share ideas and experiences for the performance and capacity analysis in various areas of industry. The conference proceedings are published by CMG every year, though not for all presentations, and are available on CMG web site [1] for registered members only. CMG papers older than 5 years can be downloaded for free. This article is a review of CMG organization as a whole and CMG 2013 Conference in particular.</abstract>
        </abstracts>
        <codes>
          <udk>681.3.016=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>performance</keyword>
            <keyword>capacity</keyword>
            <keyword>Big Data</keyword>
            <keyword>cloud computing</keyword>
            <keyword>distributed environment</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.13/</furl>
          <file>13_mescheryakov.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>105-113</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Bortyakov</surname>
              <initials>Danil</initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Mescheryakov</surname>
              <initials>Sergey</initials>
              <email>serg-phd@mail.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Shchemelinin</surname>
              <initials>Dmitry</initials>
              <email>dshchmel@gmail.com</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Integrated Management of Big Data Traffic Systems in Distributed Production Environments</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">An effective management of a cloud-based distributed production infrastructure with multiple service equipment and big data traffic is impossible without a centralized automated control system. The purpose of integrated control includes on-line monitoring of the current state of the entire distributed infrastructure according to key performance indicators, automatic alerting in emergency cases or outages and, when possible, auto-restoring of production services. All these question described in this paper are based on the work of a particular company..</abstract>
        </abstracts>
        <codes>
          <udk>681.3.016=111</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>automated control</keyword>
            <keyword>database</keyword>
            <keyword>Big Data</keyword>
            <keyword>integration</keyword>
            <keyword>cloud computing</keyword>
            <keyword>distributed environment</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2014.37.14/</furl>
          <file>14_bortyakov.pdf</file>
        </files>
      </article>
    </articles>
  </issue>
</journal>
