<?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>15</volume>
    <number>2</number>
    <altNumber> </altNumber>
    <dateUni>2022</dateUni>
    <pages>1-75</pages>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>8-24</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Shashikhin</surname>
              <initials>Vladimir</initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Sergey </surname>
              <initials>Savchuk</initials>
              <email>ser_egiks@mail.ru</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Complete synchronization of chaotic systems at different parameter values</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article solves the problem of controlling the mode of complete synchronization of two chaotic systems at different values of their parameters. The control is based on the principle of linear feedback on the phase vector of chaotic generators. The introduction of feedback makes it possible to ensure the equality of the components of the phase vectors of the receiver and the transmitter due to the equality of their Lyapunov characteristic indicators. To change the Lyapunov spectrum, it is proposed to synthesize control by the modal control method based on the solution of the Sylvester linear matrix equation on the basis of the theorem on the topological equivalence of the nonlinear system and its linearized model. An example of using this technique to synchronize the chaotic oscillations of two Lorentz systems when transmitting information using chaotic masking is considered. Computational experiments confirm the operability of the proposed method of ensuring the synchronization of two chaotic systems.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.15201</doi>
          <udk>519.8</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>synchronization</keyword>
            <keyword>chaotic generators</keyword>
            <keyword>hidden data transmission system</keyword>
            <keyword>chaotic masking</keyword>
            <keyword>control with feedback</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2022.73.1/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>25-31</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Satyshev</surname>
              <initials>Vladislav</initials>
              <email>sateshev5@yandex.ru</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Modern approaches to design of multi-channel delta-sigma ADCs</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Incremental delta-sigma ADC (IADC) and memoryless delta-sigma ADC are described. These two approaches allow to utilize a delta-sigma ADC, known for its increased resolution, in multi-channel systems due to the inter-sample interference suppression that two mentioned structures provide. In this paper, MATLAB/Simulink models of the mentioned structures are presented. In particular, limiting blocks are added to take into account nonlinearities due to finite power supply of integrators; coefficients of delta-sigma modulators were selected so as to maximize their signal-to-noise ratio; parameters of the raised cosine filter were selected to minimize crosstalk between channels. Results of simulations, namely power spectral density of the output signals and signal-to-noise ratio of the output signals, confirm operability of the described structures.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.15202</doi>
          <udk>621.3.087.92</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>analog-to-digital converter</keyword>
            <keyword>delta-sigma modulation</keyword>
            <keyword>inter-sample interference</keyword>
            <keyword>incremental delta-sigma ADC</keyword>
            <keyword>memoryless delta-sigma ADC</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2022.73.2/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>32-42</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Kvashina</surname>
              <initials>Natalya </initials>
              <email> kvashina.nv@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Influence of algorithm parameters on static nonlinearity in switching-based calibrations for DACs</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This paper presents a comparative study of nonlinearity reduction by different algorithms of switching-based calibration method for DACs. Based on the known algorithms, one general parametric algorithm is proposed. The introduced parameters are a resolution of primary array and numbers of folding and decoupling operations. The intermediate options of such a general algorithm, defined by the parameters combination, are called “algorithm cases”. The algorithm cases are compared by the efficiency of static nonlinearity reduction in presence of random and systematic errors. For both errors, the folding operation improves DNL in contrast with the decoupling operation, which deteriorates it. The increment of folding operations number lowers the presence of systematic drift in DNL, which completely disappears at the maximum number. In the case of INL, the impact of both operations is determined by the elements order. If elements values depend on their indices, the folding operation deteriorates INL in contrast with the decoupling operation, which improves it. All fully unarized arrays provide the INL reduction, but do not decrease DNL.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.15203</doi>
          <udk>621.396.69</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>digital-to-analog converter</keyword>
            <keyword>digital calibration</keyword>
            <keyword>switching-based algorithm</keyword>
            <keyword>mismatch</keyword>
            <keyword>nonlinearity reduction</keyword>
            <keyword>DNL</keyword>
            <keyword>INL</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2022.73.3/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>43-62</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Solomenko Institute of Transport Problems  of the Russian Academy of Sciences, University National Technology Initiative 2035</orgName>
              <surname>Seliverstov</surname>
              <initials>Yaroslav</initials>
              <email>maxwell_8-8@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>University National Technology Initiative 2035</orgName>
              <surname>Komissarov</surname>
              <initials>Andrey</initials>
              <email>Andrew.Komissarov@gmail.com</email>
              <address>Moscow, Russian Federation</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>University National Technology Initiative 2035</orgName>
              <surname>Lesovodskay</surname>
              <initials>Alina</initials>
              <email>a.lesovodskaya@2035.university</email>
              <address>Moscow, Russian Federation</address>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <orgName>University National Technology Initiative 2035</orgName>
              <surname>Bovykin</surname>
              <initials>Pavel </initials>
              <email>p.bovykin@2035.university</email>
              <address>Moscow, Russian Federation</address>
            </individInfo>
          </author>
          <author num="005">
            <individInfo lang="ENG">
              <orgName>University National Technology Initiative 2035</orgName>
              <surname>Podtikhov</surname>
              <initials>Artur </initials>
              <email>a.podtikhov@2035.university</email>
              <address>Moscow, Russian Federation</address>
            </individInfo>
          </author>
          <author num="006">
            <individInfo lang="ENG">
              <orgName>University National Technology Initiative 2035</orgName>
              <surname>Torsionov</surname>
              <initials>Stanislav </initials>
              <email>s.torsionov@2035.university</email>
              <address>Moscow, Russian Federation</address>
            </individInfo>
          </author>
          <author num="007">
            <individInfo lang="ENG">
              <orgName>University National Technology Initiative 2035</orgName>
              <surname>Tsyrkov</surname>
              <initials>Dmitriy </initials>
              <email>tsyrkov@2035.university</email>
              <address>Moscow, Russian Federation</address>
            </individInfo>
          </author>
          <author num="008">
            <individInfo lang="ENG">
              <orgName>National Research Tomsk State University</orgName>
              <surname>Orlov</surname>
              <initials>Sergei </initials>
              <email>orlov@ftf.tsu.ru</email>
              <address>Tomsk, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Development and research of models of multi-class classifiers for a recommended system for preparing applications on the e-procurement</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">As a result of the analysis, the relevance of developing services that contribute to the preparation of tender documentation, in terms of determining the OKPD 2 code for the generated application, is indicated. To solve the problem of automatic classification of applications in accordance with OKPD 2, an algorithm for the system of comparative analysis of classifier models was developed. Further, preprocessing was carried out, and the collected information was written to the database in json format. Labeling and preparation of data for training classifier models was carried out in the PolyAnalyst environment. As a result of the analysis, a naive Bayes classifier, an SVM classifier, and a random forest classifier were selected as models of multiclass classifiers from the Scikit-Learn library. The TFIDF and word-haching models were chosen as vectorizers. The ruBert-base neural network model was chosen as the fourth classifier. Classifiers were trained and the quality of their work was assessed. According to the results of validation and testing, two models turned out to be the best: ruBert-base and a model of a naive Bayes classifier with a word-hashing vectorizer. Based on the results, a test classification of applications was made.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.15204</doi>
          <udk>004.912, 004.85, 004.41</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>recommendation systems</keyword>
            <keyword>multiclass classification</keyword>
            <keyword>SVM</keyword>
            <keyword>naive Bayes</keyword>
            <keyword>ruBert-base</keyword>
            <keyword>vectorizer</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2022.73.4/</furl>
          <file>43-62.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>63-75</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Baikal State University</orgName>
              <surname>Timofeev</surname>
              <initials>Sergey </initials>
              <email>timofeevsv12@gmail.com</email>
              <address> Irkutsk, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Baikal State University</orgName>
              <surname>Baenkhaeva</surname>
              <initials>Ayuna </initials>
              <email>ayunab2000@mail.ru</email>
              <address>Irkutsk, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Modeling of information confrontation: Research directions and mathematical tools</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article provides an overview of the first stage study results, the purpose of which is to master new opportunities in the study of such a complex structure of a system as the mass media (mass media). Success in the fundamental mathematics development and, as an inevitable consequence, a breakthrough in the field of digital technologies, make it possible to participate actively in the methods’ improving of obtaining, processing, storing and distributing information to its consumers – something that the media traditionally do. Therefore, the idea of mathematical apparatus using for modeling some communication links with the audience seems logical. Using the methods of the dynamic systems theory, the stage of dissemination through the information media aimed at promoting a new system of views into society, and the informational confrontation accompanying this process, are described. For this purpose, a number of parameters have been identified, that makes possible to assess the audience reaction to the news appearance. Depending on these parameters’ ratio, scenarios for the further information dissemination that has appeared are presented and conclusions about the society’s readiness to existing concepts change are drawn.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.15205</doi>
          <udk>517.938:070</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>математическая модель</keyword>
            <keyword>дифференциальные уравнения</keyword>
            <keyword>продвижение информации</keyword>
            <keyword>информационное противоборство</keyword>
            <keyword>альтернативные точки зрения</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2022.73.5/</furl>
          <file>63-75.pdf</file>
        </files>
      </article>
    </articles>
  </issue>
</journal>
