<?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>5</number>
    <altNumber>229</altNumber>
    <dateUni>2015</dateUni>
    <pages/>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>7-17</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Avtiushenko</surname>
              <initials>Alla</initials>
              <email>allakadabralla@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Ivanov</surname>
              <initials>Vladimir</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Computer Technologies for Converting Two-Dimensional Objects to the Three- Dimensional Scene</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">In this paper, we have identified the crucial importance of the three-dimensional component in the visual perception of graphical information. We have also analyzed various existing technologies of converting two-dimensional and real objects to a three-dimensional or a pseudo three-dimensional form. One of the adapted conversion technologies is summarized on the basis of this analysis. This new technology is described on the example of the «Revived Pictures» project (a real project executed in collaboration with the State Russian Museum, the result of which is a panorama of an animated picture of Ivan Shishkin demonstrated in the Corps de Garde pavilion of the Mikhailovsky Castle).</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.1</doi>
          <udk>004.925</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>3D-image</keyword>
            <keyword>3D-graphics</keyword>
            <keyword>2D-graphics</keyword>
            <keyword>information perception</keyword>
            <keyword>vision</keyword>
            <keyword>image</keyword>
            <keyword>technology</keyword>
            <keyword>animation</keyword>
            <keyword>conversion</keyword>
            <keyword>2D-images</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.1/</furl>
          <file>01.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>19-32</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Babakina</surname>
              <initials>Nadezhda</initials>
              <email>nadia.babakina@gmail.com</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Kolesnikov</surname>
              <initials>Maxim</initials>
              <email>maxim.p.kolesnikov@gmail.com</email>
            </individInfo>
          </author>
          <author num="003">
            <authorCodes>
              <researcherid>AAH-8784-2019</researcherid>
              <scopusid>35303230700</scopusid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Vyacheslav</surname>
              <initials>P.</initials>
              <email>shkodyrev@imop.spbstu.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">An Environment Representation Based on Vector Dynamical Structures in Mobile Robotics Systems</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The article discusses an approach to creating vector geometric models for environment representation. In conjunction these models form a hierarchical map of some area. The problems of a mobile robot's localization and motion control can be solved using these structures. Moreover, vector models provide an additional opportunity for recognizing objects by their geometric characteristics. This is achieved by the invariant features of the model with respect to the motions of the object (robot) in space. A functional feature of the method is processing the secondary data based on a piecewise linear approximation of the edges allocated from the images of the surrounding space. This approach allows to use sensors based on different physical principles of operation. The algorithms of successive refinement of object models and adaptive statistical evaluation of the results are described. These algorithms guarantee the precision of the designed map.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.2</doi>
          <udk>004.896:004.925.8</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>machine vision</keyword>
            <keyword>localization</keyword>
            <keyword>SLAM</keyword>
            <keyword>environment representation</keyword>
            <keyword>environment mapping</keyword>
            <keyword>geometric model of the object</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.2/</furl>
          <file>02.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>33-38</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Nikulina</surname>
              <initials>Ekaterina</initials>
              <email>katerina.nikulina@gmail.com</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Point-Spread Function Computation under the Conditions of Birefringence and Partial Coherence of Lighting using GPUs</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This paper considers an application of the method of representing a complex amplitude as a superposition of plane waves to take birefringence in photolithographic systems into account. The image in transmitted light under partially coherent lighting is conducted according to the source integral method. This paper shows the computational costs of the proposed method, also mentioning the benefits of GPU computation for problem-solving of this type. Special aspects of GPU computation for non-graphical problem-solving are described. This paper introduces estimates of span time in case of computation by means of the mentioned method with GPU as well as CPU. This paper shows the results of simulating the point-spread function under different conditions. </abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.3</doi>
          <udk>681.7.055.4</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>BIREFRINGENCE</keyword>
            <keyword>POLARIZATION</keyword>
            <keyword>POINT SPREAD FUNCTION</keyword>
            <keyword>PARALLEL COMPUTING</keyword>
            <keyword>CUDA</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.3/</furl>
          <file>03.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>39-46</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">A Surface Mount Chip Resistor Microwave Model</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">An accurate model for a chip resistor is required for designing microwave devices using CAD simulation. In this connection, the measured S-parameters of chip-resistors are presented in the article. The tested device has been mounted in the gap of the microstrip line. The article discusses a generalized model of the chip resistor for use in designing various microwave devices made by hybrid technology. The proposed model has been verified based on the measurement data and adequately reflects the characteristics of the chip resistor at microwave frequencies. These results can be used for CAD simulation of microwave devices made by hybrid technology.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.4</doi>
          <udk>621.37</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>chip resistor</keyword>
            <keyword>model</keyword>
            <keyword>S-parameters</keyword>
            <keyword>microwaves</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.4/</furl>
          <file>04.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>47-58</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Khristodulo</surname>
              <initials>Olga</initials>
              <email>o-hristodulo@mail.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Salimzynov</surname>
              <initials>Iliyas</initials>
              <email>mau1er@yandex.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Gareeva</surname>
              <initials>Nailya</initials>
              <email>nailyarg@yandex.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">The Development of an Information System for Positioning Technogenic Hazard Objects Using Fuzzy Logic</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This article describes the development of a technogenic hazard management system aimed at landfill positioning. This information system uses fuzzy logic in its operations. The article shows that providing technogenic safety is a fundamental problem in all industrialized countries. One of the main tasks in technogenic safety is landfill positioning, and one of the convenient ways of solving it is using fuzzy logic calculations. The article describes the prerequisites for using fuzzy logic, shows a multicriteria mathematical model for data processing which is normally used in landfill positioning. This model contains a set of linguistic variables describing the input conditions of the analysis and a fuzzy rules base combining these variables. Another model used in the information system is a data processing model developed in ArcGIS Model Builder. The article also presents a logic structure of the system, an example of an information system working and a comparative analysis of the efficiency of its use.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.5</doi>
          <udk>08-602</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>information processing systems</keyword>
            <keyword>using fuzzy logic in GIS</keyword>
            <keyword>technogenic safety management</keyword>
            <keyword>multicriteria mathematical model for data processing</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.5/</furl>
          <file>05.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>59-68</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Malykhina</surname>
              <initials>Galina</initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Kislitcina</surname>
              <initials>Irina</initials>
              <email>irina_kislitsyna@mail.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Measurement of Motion Characteristics Using Neural Networks</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">A neural-network-based algorithm is offered for measuring the motion characteristics of a landing module. The measurement system is based on recording photon scattering. It uses a central photon source and four photon detectors for measuring the altitude, the traverse speed and the slope angle of the landing module. The model is intended for the initial stage of developing the information measuring system. The model allows to estimate the results of altitude, traverse speed and slope angle measurement, analyze the geometrical arrangement of photon sources and photon detectors, investigate the influence of chemical composition of underlying surface. The algorithm uses the information obtained from the photon detectors arranged on the lunar landing module and implements a state-space model of the landing module. A computer model of module motion produces training data. The generalization results allow to estimate measurement uncertainty. The simulation results of the algorithm and the estimated error of measurement of height, speed and angle of descent vehicle are presented.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.6</doi>
          <udk>    681.51:621:391</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>neural network algorithm</keyword>
            <keyword>lender module motion</keyword>
            <keyword>measurement</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.6/</furl>
          <file>06.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>69-78</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Sokolov</surname>
              <initials>Konstantin</initials>
              <email>vtqveant@gmail.com</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Timofeev</surname>
              <initials>Dmitry</initials>
              <email>dtim@dcn.icc.spbstu.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Samochadin</surname>
              <initials>Aleksandr</initials>
              <email>Samochadin@soft-consult.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Extraction of Business Process Models from Texts</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Formal models of business processes are necessary for process analysis and for developing processoriented services. Process modeling is a time-consuming task which should be performed by an expert. A large part of the expert’s work consists of gathering information about the process. In most cases, process descriptions already exist in textual form. The automated method of extracting process models from texts is required to put this knowledge into use. In this paper we develop a process extraction method for texts like records, reports, or user stories. The main feature of the proposed method is the application of process mining techniques to text analysis.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.7</doi>
          <udk>004</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>business process</keyword>
            <keyword>process extraction</keyword>
            <keyword>process mining</keyword>
            <keyword>semantic analysis</keyword>
            <keyword>natural language processing</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.7/</furl>
          <file>07.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>79-87</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Korelin</surname>
              <initials>Vasilii</initials>
              <email>vn.korelin@gmail.com</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Blekanov</surname>
              <initials>Ivan</initials>
              <email>a_vanes@mail.ru</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <surname>Sergeev</surname>
              <initials>Sergey</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Clustering of the External WEB Environment of Universities Using a Modified LSH Algorithm</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The paper is dedicated to cluster analysis of external web sites of large universities (web sites that refer to universities and web sites that are referred by universities). Web sites in Russia, the USA and the UK that have highest webometric ranking in their region were chosen as the subject of the study. The goal of the research is to identify a group of sites for each university that have the same kind of activity. The found clusters have been analyzed to determine the impact of group size and the number of groups on webometric ranking of university sites. To achieve the goal of the research, the authors developed a clustering algorithm based on the probabilistic method of reducing the dimension of multidimensional data (Locality-Sensitive Hashing, or LSH). An experiment that was conducted using the test data showed that the developed algorithm has good clustering quality and fast speed performance during massive dataset mining. The main results of the research are presented.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.8</doi>
          <udk>025.4, 004</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>webometrics</keyword>
            <keyword>external WEB sites of universities</keyword>
            <keyword>clustering</keyword>
            <keyword>locality-sensitive hashing</keyword>
            <keyword>min hashing</keyword>
            <keyword>external WEB sites clustering</keyword>
            <keyword>hyperlinks analysis</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.8/</furl>
          <file>08.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>88-96</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Khassina</surname>
              <initials>Eugenia</initials>
              <email>jenya-100@yandex.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Lomov</surname>
              <initials>Andrei</initials>
              <email>lomov@math.nsc.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Audio Files Compression with the STLS-ESM Method</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">In the paper an audio compression algorithm based on modeling an audio signal by a partial solution of a certain difference equation in the time domain is investigated. The signal is modeled as a sum of exponentially damped sinusoids. Such an approach is thought to be efficient in modeling the transient segments that are present in speech audio signals and audio signals generated by conventional musical instruments. In order to approximate an audio signal frame with a solution of a difference equation, a variational (STLS) problem is solved using the inverse iteration algorithm with an updating inverse matrix. The α-version of the audio codec based on the STLS-ESM scheme was created and tested in comparison with LAME MP3 codec.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.9</doi>
          <udk>004.627</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>audio signals modeling</keyword>
            <keyword>audio codec</keyword>
            <keyword>exponential sinusoidal model</keyword>
            <keyword>parametric identification</keyword>
            <keyword>difference equations</keyword>
            <keyword>variational identification method</keyword>
            <keyword>structured total least squares</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.9/</furl>
          <file>09.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>97-107</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <surname>Maslov</surname>
              <initials>Maxim</initials>
              <email>maslov@soft-consult.ru</email>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <surname>Nosnitsyn</surname>
              <initials>Semen</initials>
              <email>semen.nosnitsyn@gmail.com</email>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University</orgName>
              <surname>Samochadin</surname>
              <initials>Aleksandr</initials>
              <email>Samochadin@soft-consult.ru</email>
              <address>Polytechnicheskaya, 29, St.Petersburg, 195251, Russia</address>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <surname>Loginov</surname>
              <initials>Kirill</initials>
              <email>KLoginov@ibs.ru</email>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">An Architecture of an Enterprise Mobility Management Suite for Education Establishments</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Integration of mobile devices and services into the corporate IT infrastructure is an essential task for many organizations. The main approach to this problem involves an enterprise mobility management (EMM) system. Commercially available EMM systems share a relatively common set of basic features that are necessary for almost any organizations. Nevertheless, a specific business may require an EMM system to implement custom functionality to support its processes. In this paper, we consider the requirements specific to the domain of education. The most important requirement is the configurability of the EMM system, as schools and universities differs greatly in the amount of students and staff, and in the structure of the educational process. We propose an EMM system architecture that matches these requirements and allows constructing a scalable and configurable solution for mobility management in education.</abstract>
        </abstracts>
        <codes>
          <doi>10.5862/JCSTCS.229.10</doi>
          <udk>004.7</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>mobile devices</keyword>
            <keyword>enterprise mobility management</keyword>
            <keyword>system architecture</keyword>
            <keyword>education</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://infocom.spbstu.ru/article/2015.46.10/</furl>
          <file>10.pdf</file>
        </files>
      </article>
    </articles>
  </issue>
</journal>
