<?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>3</number>
    <altNumber> </altNumber>
    <dateUni>2020</dateUni>
    <pages>1-88</pages>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>7-16</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Fedotov</surname>
              <initials>Аlexandr</initials>
              <email>afedotov@spbstu.ru</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>The State Hermitage Museum</orgName>
              <surname>Prazdnikova </surname>
              <initials>Tatiana</initials>
              <email>prazdnikova.t@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Badenko </surname>
              <initials>Vladimir </initials>
              <email>vbadenko@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Yadykin </surname>
              <initials>Vladimir </initials>
              <email>v.yadikin@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Information modeling for cultural preservation: Portico of the New Hermitage and Atlas sculptures. Part 1: Basic approaches and approbation results</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This article presents the results of interaction between Peter the Great St. Petersburg Polytechnic University and the State Hermitage in a promising direction of using the latest achievements in the field of information technology in solving the problems of preserving cultural heritage. The authors use information modeling of the portico of the New Hermitage building and Atlas sculptures based on laser scanning data as an example. An overview of modern technologies currently used to preserve historical sites is presented. The main advantages obtained through the use of new technologies and the capabilities of modern software systems focused on working with information models are demonstrated. Digital representations of the building structures calculation results of the portico of the New Hermitage are analyzed. In addition, on the basis of the study of the stress-strain state of the entire structure, the reasons for the formation of cracks on the wrists and ankles of the granite Atlas sculptures were analyzed. The possibility of using the created model for reproducing an object using modern technologies of three-dimensional printing is shown.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13301</doi>
          <udk>721.021.23, 004.942</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>BIM</keyword>
            <keyword>HBIM</keyword>
            <keyword>laser scanning</keyword>
            <keyword>cultural heritage</keyword>
            <keyword>Historical Building Information Modeling</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.66.1/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>17-30</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Jiangxi Agricultural University</orgName>
              <surname>Yi </surname>
              <initials>Wenlong</initials>
              <email>yiwenlong@jxau.edu.cn</email>
              <address>Nanchang, China</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Jiangxi Agricultural University</orgName>
              <surname>Zhao </surname>
              <initials>Yingding</initials>
              <email>zhaoyingding@163.com</email>
              <address>Nanchang, China</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">A fast algorithm for visual modeling of rice leaf cells</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">In order to rapidly construct a visual model of rice leaf cells, the authors employed modeling tools of computer aided geometric design (CAGD): curve and surface. Rice mesophyll cells are an object of the study. In virtue of the Bernstein basis function properties and convex combination optimization, this work reconstructs the computation graph of the de Casteljau algorithm to model rice leaf cells, and C++ programming language and OpenGL rendering library are used to establish the visual model of cells. The theoretical results indicate that the control variables of curve and surface shape can be increased by revising affine combination coefficient through the polynomial space of the Bernstein basis function expansion. In addition, the results suggest that the convex combination optimization approach reduces the calculated time complexity of cytoskeleton interpolation points from O(n2) to O(n). The experimental results show that the convex combination algorithm has a significant advantage in terms of computation speed over the de Casteljau algorithm for each 200 interpolation points of the cytoskeleton. In view of the characteristics of close arrangement, regular shape, and large quantity of plant cells, the method proposed in this study has the ability to provide a feasible technical route and a rapid expression for visual modeling of plant cells.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13302</doi>
          <udk>004.946</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>rice leaf cells</keyword>
            <keyword>fast algorithm</keyword>
            <keyword>visualization</keyword>
            <keyword>CAGD</keyword>
            <keyword>parameter curve</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.66.2/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>31-43</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Don State Technical University</orgName>
              <surname>Chumakov </surname>
              <initials>Vladislav </initials>
              <email>chumakov.dssa@mail.ru</email>
              <address>Rostov-on-Don, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Techniques for hybridization of intelligent methods for detecting malicious traffic</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">In the modern world of IT technologies, there is a trend of ever-increasing flow of network traffic, network connections and, consequently, a growing number of vulnerabilities of centralized and decentralized systems. The urgency of the research lies in the necessity to modernize and improve existing mechanisms for better malicious traffic detection and enhanced security of the entire network infrastructure. The paper presents a new approach to network traffic research. The advantages of the proposed techniques are given in comparison with modern intrusion detection system based on standard algorithms and intelligent methods. The article indicates the direction in the area of modernization and improvement of algorithms for detection of network anomalies and network intrusions. The main features of the network traffic classification subsystem and the logic of work of each stage are displayed, the results of the system research and testing are presented, recommendations on the application and practical significance of the developed algorithm are described.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13303</doi>
          <udk>004.492.3</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>IDS</keyword>
            <keyword>IPS</keyword>
            <keyword>security</keyword>
            <keyword>network anomalies</keyword>
            <keyword>intelligent methods</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.66.3/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>44-54</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>St. Petersburg Institute for Informatics and Automation of RAS</orgName>
              <surname>Sukhoparov </surname>
              <initials>Mikhail</initials>
              <email>sukhoparovm@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>St. Petersburg Institute for Informatics and Automation of RAS</orgName>
              <surname>Lebedev </surname>
              <initials>Ilya </initials>
              <email>isl_box@mail.ru</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>New technologies LLC</orgName>
              <surname>Garanin</surname>
              <initials> Anton </initials>
              <email>anton.v.garanin@yandex.ru</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Application of classifier sequences in the task of state analysis of Internet of Things devices</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Development of the industrial Internet concept dictates the need for identification and improvement of approaches, models, and methods for analyzing the state of the Internet of Things. Implementation of modern industrial, social, and household systems is impossible without the use of artificial intelligence methods in the machine-to-machine communication of individual elements, automatic data collection, analysis, and storage. The paper presents an approach to identifying the state of devices based on the application of classification technology, which implements compositions of independently trained algorithms processing time series, reflecting the functioning of elements during the implementation of processes. The application of the proposed solution allows parallel processing of information received from the device, which enables scaling. The developed approach was tested on time series sequences, obtained experimentally in different operating conditions, and processed by a sequence of classifiers. The paper presents the results of the probability estimate of erroneously classified states. The main advantages of the proposed solution are relatively small requirements to computational resources, simplicity of implementation, and the ability to scale by adding new classification algorithms.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13304</doi>
          <udk>681.518</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>state analysis</keyword>
            <keyword>Internet of Things</keyword>
            <keyword>discriminant analysis</keyword>
            <keyword>state monitoring</keyword>
            <keyword>classification algorithm</keyword>
            <keyword>Bayesian classifier</keyword>
            <keyword>decision trees</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.66.4/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>55-62</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Salonina </surname>
              <initials>Ekaterina </initials>
              <email>salonina.ea@gmail.com</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Belyaev</surname>
              <initials>Yakov</initials>
              <email>designcenter.spb@mail.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Piatak</surname>
              <initials>Ivan</initials>
              <email>i.m.piatak@gmail.com</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Modeling the impact of technological process variations on R-2R DAC static characteristics</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Digital-to-analog converter (DAC) is widely used in modern integrated electronics, converting digital signals into analog ones. This paper considers an R-2R structure DAC, its operation principle and static characteristics: integral non-linearity (INL) and differential non-linearity (DNL). For the accuracy of this DAC conversion, it is important that the element resistance ratio is maintained for the entire circuit. The authors considered the influence of random and systematic errors of DAC elements resistances on the transfer function and static characteristics of DAC, as well as the use of special DAC element placements to compensate for systematic errors. Systematic errors are presented as three types of gradients: linear, quadratic and central quadratic. These gradients were modeled in MATLAB. Using the MATLAB script, the authors calculated the static characteristics of the R-2R DAC for two resistor placements: regular and common centroid, taking into account the impact of three different gradients. These placements were compared based on the modeling and calculation results.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13305</doi>
          <udk>621.3.049.77</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>digital-analog conversion</keyword>
            <keyword>R-2R</keyword>
            <keyword>linear gradient</keyword>
            <keyword>quadratic gradient</keyword>
            <keyword>resistor mismatch</keyword>
            <keyword>MATLAB</keyword>
            <keyword>common centroid</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.66.5/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>75-87</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Southern-Russian State Polytechnical University</orgName>
              <surname>Balaban </surname>
              <initials>Igor </initials>
              <email>i.balaban@inbox.ru</email>
              <address>Novocherkassk, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Southern-Russian State Polytechnical University</orgName>
              <surname>Balaban </surname>
              <initials>Anna </initials>
              <email>ulapm20@mail.ru</email>
              <address>Novocherkassk, Russian Federation</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Southern-Russian State Polytechnical University</orgName>
              <surname>Khovpachev </surname>
              <initials>Anatolii </initials>
              <email>hov-aa@yandex.ru</email>
              <address>Novocherkassk, Russian Federation</address>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <orgName>Southern-Russian State Polytechnical University</orgName>
              <surname>Shilin </surname>
              <initials>Evgenii </initials>
              <email>shilineugene@yandex.ru</email>
              <address>Novocherkassk, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Telemetry device for control of technical state of chemical current sources</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article describes the device for telemetry and control of the technical state of chemical current sources. The controlled parameters are the residual capacity, voltage, discharge current, temperature of current sources. The article presents a functional scheme of the device, its feature being galvanic isolation of the current source circuit and the monitoring device. To provide galvanic isolation, the authors propose a circuit solution for non-contact current measurement in order to reduce the error in measuring currents of various magnitudes. An asynchronous parallel-serial data transfer interface is used for the exchange with the upper-level system. The article describes the algorithm of telemetry device operation, which is implemented for the 1887VE4U microcontroller. When developing the device, the main difficulty was the need to ensure the minimum weight and dimensions and use only domestic-made electronic components to comply with the import substitution strategy in the Russian economy.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13306</doi>
          <udk>621.317.311, 621.317.321, 621.317.335.2, 621.</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>telemetry</keyword>
            <keyword>noncontact measurement</keyword>
            <keyword>discharging current</keyword>
            <keyword>current sensor</keyword>
            <keyword>capacity</keyword>
            <keyword>voltage</keyword>
            <keyword>chemical current source</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.66.6/</furl>
          <file/>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>75-87</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Nagorny </surname>
              <initials>Alexandr</initials>
              <email> nagor234@yandex.ru</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University</orgName>
              <surname>Tisenko </surname>
              <initials>Victor</initials>
              <email> v_tisenko@mail.ru</email>
              <address>St. Petersburg, Russian Federation</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Dynamic design of high-precision gas flowmeters</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Electrohydrodynamic phenomena are effective in various applications of electric fields when controlling volumes, jets and flows of dielectric liquid. Nowadays, one of the most important issues in this area is the implementation of gas saving technologies as well as incensement of their efficiency. It is possible to raise the accuracy of current flowmeters of variable pressure drop on narrowing devices (ND) (which occupy around 70-80 % of the whole world market) by applying innovative compensatory flowmeters with electrohydrodynamic (EH) pressure compensation. At the same time negative inverse connection covers all the signal conversion chain, which makes it possible to exclude an error of each link inside the conversion chain after ND. This article describes the stages of development of an innovative electrohydrodynamic pressure compensation gas flowmeters with electrohydrodynamic inverters (EHI-2F) by using dynamic design and computer methods. They are competitive on the market in terms of accuracy, speed and sensitivity to pressure drop on the ND.</abstract>
        </abstracts>
        <codes>
          <doi>10.18721/JCSTCS.13307</doi>
          <udk>658.012.011.56:658.312:681.586</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>gas flowmeters</keyword>
            <keyword>accuracy</keyword>
            <keyword>compensation charts</keyword>
            <keyword>pressure compensation</keyword>
            <keyword>electro-hydrodynamiс inverters</keyword>
            <keyword>dynamic design</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2020.66.7/</furl>
          <file/>
        </files>
      </article>
    </articles>
  </issue>
</journal>
