<?xml version="1.0" encoding="utf-8"?>
<journal>
  <titleid/>
  <issn>2687-0517</issn>
  <journalInfo lang="ENG">
    <title>Computing, Telecommunication and Control</title>
  </journalInfo>
  <issue>
    <volume>12</volume>
    <number>1</number>
    <altNumber> </altNumber>
    <dateUni>2019</dateUni>
    <pages>1-57</pages>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>7-20</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Buslaev </surname>
              <initials>Roman </initials>
              <email>tasraven@gmail.com</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <orcid>0000-0003-3103-7060</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Loboda</surname>
              <initials>Vera</initials>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Simulation of Uni-Leg thermoelectric generator based on magnesium silicide</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article describes simulation results of a thermoelectric generator based on a Uni-Leg structure. The simulation techniques, advantages of Uni-Leg structure application, silicide materials and simulation results in different temperature ranges are described.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.12101</doi>
          <udk>621.391</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>thermoelectric generators</keyword>
            <keyword>Uni-Leg</keyword>
            <keyword>thermoelectricity</keyword>
            <keyword>ANSYS</keyword>
            <keyword>silicides</keyword>
            <keyword>ohmic contacts</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2019.60.1/</furl>
          <file>7-20.pdf</file>
        </files>
      </article>
      <article>
        <artType>REP</artType>
        <langPubl>RUS</langPubl>
        <pages>21-28</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>The Bonch-Bruevich Saint-Petersburg State University of Telecommunications</orgName>
              <surname>Ganbayev</surname>
              <initials> Asif </initials>
              <email>asif.ganbayev@gmail.com</email>
              <address>22 Prospekt Bolshevikov, St. Petersburg, 193232, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>The Bonch-Bruevich Saint-Petersburg State University of Telecommunications</orgName>
              <surname>Filin </surname>
              <initials>Vladimir </initials>
              <email>filin_vladimir@mail.ru</email>
              <address>22 Prospekt Bolshevikov, St. Petersburg, 193232, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Radio frequency controlled switch mode generator based on current mode resonant inverter</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">A new topology of a radio frequency switch mode generator based on a controlled current mode resonant inverter is proposed. We have analyzed the scheme and described its operating principles. It is shown that, in contrast to the classical bridge circuit of a current inverter, introducing two diodes makes it possible to eliminate overvoltages on bridge transistors in transient and steady-state operation. We have also shown that introducing an additional transistor switch into the circuit opens up the possibility of obtaining amplitude (AM) or frequency (FM) modulated oscillations in the load circuit. We have investigated the processes in the generator circuit on gallium-nitride (GaN) transistors by computer simulation. A method for generating AM oscillations based on pulse width modulation is described. We have analyzed the conditions for obtaining a given depth of AM and the required power of oscillations in the load. This switch mode generator is recommended for use in the radio frequency range (tens-hundreds megahertz) to form and amplify powerful modulated oscillations with extremely high efficiency.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.12102</doi>
          <udk>621.373.52</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>pulse-width modulation</keyword>
            <keyword>PWM</keyword>
            <keyword>amplitude modulation</keyword>
            <keyword>controlled current mode resonant inverter</keyword>
            <keyword>GaN transistor</keyword>
            <keyword>linearity of the modulation characteristic</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2019.60.2/</furl>
          <file>21-28.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>29-33</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Povolzhskiy State University of Telecommunications and Informatics</orgName>
              <surname>Chupakhina</surname>
              <initials>Liliya</initials>
              <email>garip4ik555@mail.ru</email>
              <address>Samara, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Povolzhskiy State University of Telecommunications and Informatics</orgName>
              <surname>Karaulova </surname>
              <initials>Olga </initials>
              <email>olya4369@yandex.ru</email>
              <address>Samara, Russian Federation</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Povolzhskiy State University of Telecommunications and Informatics</orgName>
              <surname>Kireeva </surname>
              <initials>Natalia</initials>
              <email>zeppelinsn@yandex.ru</email>
              <address>Samara, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Estimate average queue length and transmission delay in network node</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">We have considered the problem of non-Poissonian traffic obtained by recording statistical characteristics at given packet arrival rates was considered. To study the statistical characteristics of a multimedia stream, we have studied multicast data transmission where the server generates a data stream and sends it over the network to connected clients. The load intensity of the resulting packet flow at each time point depends on which applications service the sources of requests and on the ratio of their number for different applications. The traffic patterns are also affected by the technological features of the service algorithms applied. Based on measurement histograms and approximate functions for the distribution of time intervals between packet arrival and the packet duration, we have obtained their approximating expressions as the sum of damped exponents satisfying the properties of the distribution function of a random variable. Calculations are performed quickly and efficiently. The approximation method has a simple algorithm. Using the spectral method for solving the Lindley integral equation for the G/G/1 queuing system, we obtained the values ​​for the average packet delay time in the network and the queue length. The accuracy of the solution obtained depends on the accuracy of the approximation of the distributions with a «heavy» tail used.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.12103</doi>
          <udk>621.396.2</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>queuing system</keyword>
            <keyword>approximation of the sum of decaying exponential</keyword>
            <keyword>integral Lindley equation</keyword>
            <keyword>distribution with a «heavy» tail</keyword>
            <keyword>the average delay time</keyword>
            <keyword>G/G/1</keyword>
            <keyword>quality of service</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2019.60.3/</furl>
          <file>29-33.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>34-43</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Nikitin</surname>
              <initials>Aleksandr</initials>
              <email>nikitin@mail.spbstu.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Khabitueva</surname>
              <initials>Ekaterina</initials>
              <email>basilliounderground@mail.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Design for microwave wideband VCO based on electromagnetic simulation</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This article describes the results of designing a microwave wideband voltage-controlled oscillator (VCO) by using electromagnetic (EM) simulation. EM simulation is carried out in AXIEM, which is included in AWR Design Environment of National Instruments (NI AWR DE). The main features of VCO design using AXIEM are considered. The study analyzed the comparative possibilities of electromagnetic and circuit simulation with the help of NI AWR DE. Analysis was based on the experimental studies of the developed oscillator. It is shown that EM analysis can significantly improve the accuracy of modeling compared with design in Microwave Office (MWO, system of circuit simulation).</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.12104</doi>
          <udk>621.373</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>VCO</keyword>
            <keyword>microwave</keyword>
            <keyword>modeling</keyword>
            <keyword>electromagnetic analysis</keyword>
            <keyword>AXIEM</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2019.60.4/</furl>
          <file>34-43.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>44-54</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Popov</surname>
              <initials>Sergey</initials>
              <email>popovserge@gmail.com</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <researcherid>F-6480-2013</researcherid>
              <scopusid>7004013271</scopusid>
              <orcid>0000-0002-5637-1420</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Lev</surname>
              <initials>V.</initials>
              <email>lev.utkin@mail.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, Russia, 195251</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Vladimir</surname>
              <initials>S.</initials>
              <email>vlad@neva.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Robust algorithms of data classification obtained using set of weights by group of robots</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Three adaptive robust learning algorithms for a group of robots are proposed in the paper, provided that each observation obtained by the robots consists of several elements, i.e, is multi-valued. The reason for the multi-valued data is that the robots in the system provide different measurements for a single external parameter observation at a time. The algorithms are based on sets of weights or interval weights of a certain type for all elements of the training set. In addition, to formalize multivalued data and modify weights in the process of obtaining new data, it is proposed to use the Dirichlet interval model.  The first algorithm is a modification of the support vector machine that takes into account multivalued data. The second algorithm is a modification of the AdaBoost algorithm for multi-valued data. The third algorithm is a combination of AdaBoost and the Dirichlet interval model. All algorithms are robust and use a minimax decision-making strategy.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.12105</doi>
          <udk>519.712.3, 004.896:004.048</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>group of robots</keyword>
            <keyword>classification</keyword>
            <keyword>support vector method</keyword>
            <keyword>multi-valued observations</keyword>
            <keyword>Dirichlet model</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2019.60.5/</furl>
          <file>44-54.pdf</file>
        </files>
      </article>
    </articles>
  </issue>
</journal>
