<?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>13</volume>
    <number>2</number>
    <altNumber> </altNumber>
    <dateUni>2020</dateUni>
    <pages>1-61</pages>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>7-13</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>National Research University Higher School of Economics</orgName>
              <surname>Anufrienko</surname>
              <initials>Alexander</initials>
              <email>alexanuf@mail.ru</email>
              <address>Moscow, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Data processing by end devices in IoT systems</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This paper presents a correlation method for processing data on end devices and reducing the amount of data transmitted over the network. Instead of expensive and complex network devices, developers can use cheap and proven low-speed Internet of Things (ZigBee, NB IoT, BLE) solutions for data transfer. The novelty lies in one of the features of this approach: the use of components for analysis, rather than a complete copy of the signals, as well as processing directly on the sensor. The advantage of this approach allows you to reduce the number of operations and complexity of implementation, in contrast to other methods focused on the cloud computing paradigm. We provide results for correlation values and the number of logical elements (LE) when implemented on the FPGA, depending on the number of elements in the correlator. This allows to maintain a balance between the required calculation accuracy and spent hardware resources, as well as to simplify the end device.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13201</doi>
          <udk>004</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>Internet of Things</keyword>
            <keyword>industrial IoT</keyword>
            <keyword>correlation</keyword>
            <keyword>FPGA</keyword>
            <keyword>matched filter</keyword>
            <keyword>autocorrelation</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.65.1/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>14-23</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Kudriasheva </surname>
              <initials>Polina </initials>
              <email>kudriasheva.pa@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Davydenko</surname>
              <initials>Anton</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">The impact of GNSS spatial signal processing on position and time measurements</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">One of the main research directions in global navigational satellite systems is increasing the intentional interferences resistance of modern navigation receiving equipment. The most effective method is supposed to be the use of spatial filtering techniques on the basis of adaptive antenna arrays (AAA). However, antenna array can bring about additional errors in the navigation and make it impossible to use it for applications requiring accurate positioning and time synchronization. We experimentally compared navigation solutions obtained based on signals from a single antenna and from the output of AAA. The results showed that the use of AAA as the part of navigation receiver might delay 1 pps (pulse per second) signal arrival on the value proportional to the summarized group delay in the digital signal processing block of AAA. Experimental results also showed that AAA could bring error to positioning of the receiver. A few methods were outlined to decrease the influence of AAA on navigation solution.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13202</doi>
          <udk>621.396.969</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>global navigation satellite system</keyword>
            <keyword>adaptive antenna array</keyword>
            <keyword>1 pps-signal</keyword>
            <keyword>positioning</keyword>
            <keyword>navigation receiver</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.65.2/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>24-34</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Balashov</surname>
              <initials>Evgeny</initials>
              <email>balashov_ev@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Top-down design of integrated transceiver: Peculiarity and teaching method using EDA Advanced Design System (ADS)</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Requirements for the degree of integration, cost, power consumption of transceivers are constantly increasing. In this regard, at present, transceivers are built based on integrated circuits. For the successful development of an integrated transceivers, it is necessary to use the principles of top-down design and end-to-end design, implemented in EDA. The article examines the features and methods of teaching students to develop integrated transceivers in accordance with the principle of the top-down design. The proposed teaching methodology allows students to learn how to use system and circuit modeling tools using EDA Advanced Design System (ADS) produced by Keysight as an example and to study a design flow that includes the following stages: system-level design, block-level design, schematic-level design and layout level design.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13203</doi>
          <udk>621.396.6</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>receiver</keyword>
            <keyword>transceiver</keyword>
            <keyword>top-down design</keyword>
            <keyword>EDA</keyword>
            <keyword>ADS</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.65.3/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>35-48</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Belskii </surname>
              <initials>Aleksei</initials>
              <email>belskii.alexey@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <authorCodes>
              <researcherid>N-8983-2014</researcherid>
              <scopusid>36237396900</scopusid>
              <orcid>0000-0003-0276-4517</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Vladimir</surname>
              <initials>M.</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Automatic generation of software bug fixes based on analysis of software repositories</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This paper describes the method, which is developed by the authors to automated correction of software errors, which is based on the analysis of successful project fixes for the ABAP programming language available in open repositories. The method generates the candidates of patches based on predefined templates and ranks the results by the probability of successful application, which is determined by a probabilistic model using machine learning methods. The probabilistic model is formed by training on features, which are extracted from data from successful and unsuccessful patches of ABAP programs in open repositories. The developed method is tested on synthetic examples and real projects with errors in the ABAP language. As a result of the experiments, the method successfully generated some patches, which showed their efficiency. The results in accuracy and efficiency are comparable or superior to the results of experiments in similar works by other authors.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13204</doi>
          <udk>004.052.44</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>Automated program repair</keyword>
            <keyword>machine learning</keyword>
            <keyword>Abstract Syntax Tree</keyword>
            <keyword>logistic regression</keyword>
            <keyword>gradient descent</keyword>
            <keyword>ABAP</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.65.4/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>49-58</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Vladimir</surname>
              <initials>N.</initials>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Shashikhin</surname>
              <initials>Vladimir</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Synthesis of decentralized robust stabilizing control for the systems with parametric perturbations</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The paper considers the problem of robust stabilization of large-scale systems with parametric perturbations within set number intervals. Design of systems with robust properties is among the most important problems of control theory. It allows to describe dynamics of the initial object by a mathematical model using a vector differential equation with interval coefficients. The paper states the problem of synthesis of stabilizing control with a pre-assigned degree of robust stability for closed systems. Scalar optimization function and Lyapunov–Razumikhin function were used to identify many stabilizing regulators. Parameters of robust control regulators are determined by the solutions of two Riccati equations: the first one corresponding to the nominal parameters of the object and the second – to variations of the object parameters. Sufficient conditions for robust stability of the closed system are obtained.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13205</doi>
          <udk>519.8(075.8)</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>robust control</keyword>
            <keyword>large-scale systems</keyword>
            <keyword>parametric perturbations</keyword>
            <keyword>decentralized structure</keyword>
            <keyword>Lyapunov–Razumikhin functions</keyword>
            <keyword>pre-assigned degree of robust stability</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.65.5/</furl>
          <file/>
        </files>
      </article>
    </articles>
  </issue>
</journal>
