=Paper= {{Paper |id=Vol-2639/paper-01 |storemode=property |title= Neural network information management model for a large educational complex |pdfUrl=https://ceur-ws.org/Vol-2639/paper-01.pdf |volume=Vol-2639 |authors=Ludmila A. Ponomareva,Oxana N. Romashkova,Yuliya V. Gaidamaka |dblpUrl=https://dblp.org/rec/conf/ittmm/PonomarevaRG20 }} == Neural network information management model for a large educational complex == https://ceur-ws.org/Vol-2639/paper-01.pdf
Neural network information management model
for a large educational complex
Ludmila A. Ponomarevaa , Oxana N. Romashkovab and Yuliya V. Gaidamakac
a
  Department of applied Informatics, Moscow City University, 4, Vtoroy Selskohoziajstvenny, Moscow, 129226, Russia
b
  Department of international information security Institute of information sciences, Moscow State Linguistic University,
38, Ostozhenka St., Moscow, 119034, Russia
c
  Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia, 6, Miklukho-Maklaya St.,
Moscow, 117198, Russia


                                         Abstract
                                         Effective management of the national educational system is a strategically important direction for further
                                         development of the entire state [1]. Management of educational processes is the most difficult direction in
                                         the theory and practice of management because of their multiplicity and formalization [2]. In connection
                                         with the reorganization of the Russian educational system, large educational complexes (LEC) have
                                         appeared [3], which are a new structural unit in the national education system.
                                             The object of this article is the system connections and processes of functioning of a large educational
                                         complex.
                                             The subject of the research is algorithms, methods and models of rating evaluation of LEC activities
                                         for managing its effectiveness.
                                             The practical significance of the work is as follows:
                                             – new criteria for evaluating the quality of education in LEC — individual educational programs of
                                         students are proposed;
                                             – an information model of rating evaluation of the LEC activity based on the method of integral
                                         assessment of the quality of education is proposed, which allows for reliable ranking of the main indicators
                                         not by expert means, but by calculating the value of its entropy;
                                             – the project of an information system for forming the LEC rating is proposed, which allows the
                                         management bodies to monitor the effectiveness of the educational system, carry out operational, tactical
                                         and strategic planning, and apply control actions in a timely manner to improve the efficiency of the
                                         main activity;
                                             – a neural network model is proposed for selecting the control effect on the LEC.
                                             Practical use. The obtained scientific results are of applied nature, and their application is confirmed
                                         by the results of work in Management of education of administration of Sosnovsky municipal district of
                                         the Chelyabinsk region in public-professional Association — on the Board of Directors of the educational
                                         organizations of the city of Moscow No. 10 and GBOU School No. 1389.

                                         Keywords
                                         management, methods, rating evaluation models, efficiency




Workshop on information technology and scientific computing in the framework of the X International Conference
Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems (ITTMM-2020),
Moscow, Russian, April 13-17, 2020
Envelope-Open ponomarevala@bk.ru (L. A. Ponomareva); ox-rom@yandex.ru (O. N. Romashkova); gaydamaka-yuv@rudn.ru
(Y. V. Gaidamaka)
Orcid 0000-0002-6708-2755 (L. A. Ponomareva); 0000-0002-1646-8527 (O. N. Romashkova); 0000-0003-2655-4805
(Y. V. Gaidamaka)
                                       © 2020 Copyright for this paper by its authors.
                                       Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
    CEUR
    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                      5–21


1. Introduction
The functioning of a large educational complex is characterized by a variety of functions, levels
of educational activity, adaptability, flexibility, and dynamism, which creates difficulties for
effective management [4]. The search for effective management options leads to the need to
use formalized, unified methods and mathematical models. In this regard, there is a need to
use information tools that automate the implementation and use of models in making effective
decisions at all stages of management [5].
   The development of models and methods for assessing the quality of education and educa-
tional activities in educational complexes, as well as effective management of the functioning
of such complex socio-economic systems, is becoming an extremely urgent task [6].
   Purpose and objectives of scientific research. The purpose of the study is to improve the
effectiveness of the LEC management by creating a set of models, methods, algorithms and
tools for rating the activities of educational organizations.
   To achieve the goal of scientific research, the following tasks were solved:

    • an information model of LEC management is built [7];
    • criteria and indicators for a comprehensive assessment of LEC management effectiveness
      have been developed [8];
    • a management information system has been designed to automate rating evaluation of
      educational organizations in accordance with the developed methodology, algorithms
      and models [9];
    • a neural network model is proposed to support the management decision-making of
      heads of educational organizations [10].

  The scientific novelty of the study is that:

    • criteria (quality of education, accessibility of education, efficiency of resource use) and
      indicators have been developed to determine the criteria for a comprehensive assess-
      ment of the effectiveness of LEC management, taking into account current trends in the
      development of the education system [11];
    • an information system for automating rating evaluation and monitoring the activities of
      educational organizations is proposed [12];
    • a neural network model is proposed for the system of support for management decision-
      making of heads of educational organizations [13].


2. Theoretical Research
The effectiveness of managing the education system in Russia is determined by the structure
of the system itself, which consists of regional, sub-regional, territorial, inter-municipal and
municipal educational systems, as well as educational organizations and their associations [14].
Therefore, one of the important tasks is a formalized description of the system model and
a unified approach to solving the problem of effective management of all components of the
system.



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                        5–21


   The activities of education management bodies are aimed at ensuring Federal programs for
the development of education, state educational standards, and the functioning of the education
system at the level of state standards [15].
   Organizational structure of education system management (Figure 1) reflects the composition
and subordination of various elements, links and levels of management that function to achieve
certain goals [16]. The functions and structure of management are two components of a single
whole-the organization of the management system of the education system and act, respectively,
as the content and form of the management process [17]. Certain management issues are within
the competence and responsibility of the educational organization.




Figure 1: Organizational structure of education management Russian Federation


  Designations for Figure 1:
   1. Ministry of education;
   2. Department of education;
   3. Municipal government;
   4. Secondary professional education;
   5. Higher education (bachelor’s degree, specialty, master’s degree, training of highly qualified
      personnel);
   6. Additional education;
   7. Preschool;
   8. National General;
   9. Basic General;
  10. Average total.



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                     5–21


  In this study, managed systems (management objects) are divided into groups [18]:
   1. An education system consisting of education management bodies and the infrastructure
      of the education system (scientific and methodological centers, resource centers, repair
      and supply services, and so on).
   2. Educational system — a set of educational organizations and educational programs (EP)
      implemented by them.
   The educational system (ES) includes not only educational organization (EO) and EP, but also
the infrastructure (educational and methodological offices, resource centers, etc.), as well as
education management bodies of the appropriate level. Within this definition, the “minimum”
educational system is a separate educational organization.
   In the most General form, the management process in the education system can be divided
into three components, mutually dependent and interrelated forms of its implementation [19]
(Figure 2):
    • administrative, whose task is to develop and define policies;
    • economic, which determines the material and financial resources, motives and financial
      results of the management system;
    • operational, providing operational, Executive, aimed primarily at the technological orga-
      nization of the control object.




Figure 2: Control function


  Any ES is defined by setting [20] the following parameters:
    • the composition of the ES (participants-people, their groups and collectives that are part
      of the ES, that is, its elements and the composition of the ES implemented in the OP);



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                      5–21


    • ES structures (sets of information, management, technological, and other relationships
      between ES participants);
    • restrictions and norms of activity of ES participants, reflecting, among other things,
      institutional, technological and other restrictions (conditions) and norms of their joint
      activity. In particular, the demand and supply for educational services and for graduates
      (taking into account the criteria of both quantity and quality) of the ES can be considered
      as a managed (including self-managed) restriction of the ES activity;
    • preferences of the ES participants;
    • awareness — the information about the essential parameters that the ES participants have
      at the time of their decision-making.

  Restrictions on the activities of ES participants are, in particular, their powers.
  List of business processes of the regional educational system:
   1. Business management processes:
         • development and implementation of regional education development programs
           taking into account regional socio-economic, environmental, demographic, ethno-
           cultural and other features;
         • planning and development of the regional educational system;
         • distribution of responsibilities and powers;
         • analysis of the quality system of the regional educational system.
   2. Main business processes:
         • creation, reorganization, liquidation of educational organizations, implementation
           of functions and powers of founders of educational organizations;
         • ensuring state guarantees of the rights to receive public preschool education, primary
           General education, basic General education, and secondary General education;
         • organizing the provision of secondary vocational education, including ensuring state
           guarantees of the right to receive public and free secondary vocational education;
         • organization of additional education for children;
         • organization of additional professional education.
   3. Enabling business processes:
         • material support of the regional education system (including textbooks in accor-
           dance with the established Federal list, and textbooks approved for use in the
           implementation of these educational programs);
         • financial support for the regional education system;
         • staffing of the regional education system;
         • information support for the regional education system;
         • normative and methodological support of the regional education system;
         • social security of the regional education system (including the organization of
           providing psychological and pedagogical, medical and social assistance to students
           who are experiencing difficulties in mastering basic General education programs,
           their development and social adaptation);



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                      5–21


         • subcontracting processes.
   4. Business processes for monitoring, measuring, evaluating, and developing:
         • monitoring, measurement, and quality control of the regional educational system
           (including creating conditions for organizing an independent assessment of the
           quality of educational activities of organizations engaged in educational activities;
         • internal audits and self-assessment;
         • managing monitoring and measurement devices;
         • assessment of satisfaction of consumers of educational services of the regional
           educational system.
  The diagram of business processes of the educational system is shown in Figure 3.
  The criteria for effective management of the educational complex can be presented using
Figure 4 [21].


3. Research Methods and Tools
One of the most popular and popular tools for managing and informing consumers of educational
services is the rating of educational organizations. To build a rating of General education
organizations in the Ulyanovsk region on the quality of education, the following areas have
been identified:

    • learning outcome;
    • participation of students in procedures for independent assessment of the quality of knowl-
      edge;
    • ensuring a systematic approach in the procedures for independent assessment of the
      quality of knowledge;
    • the effectiveness of the internal monitoring;
    • compliance of the educational organization’s activities with accreditation indicators.

  The following data types are used to calculate indicator values [22]:

    • data from monitoring conducted by the Committee for supervision and control of educa-
      tion in the Ulyanovsk region;
    • data of monitoring conducted by the regional state Autonomous institution Ulyanovsk
      regional center for information, methodological, organizational and technical support of
      supervision and control procedures in the field of education;
    • data of educational organizations.

   The rating of educational organizations is formed for each direction separately and as a whole
(summary rating). The algorithm that reflects the main stages of rating formation is shown in
Figure 5.




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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                                                  5–21




                                                         Figure 3: Business process diagram of the educational system




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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                     5–21




Figure 4: Efficiency of educational complex management




Figure 5: Algorithm for forming the rating of the educational complex


   The effectiveness of management has two aspects: the effectiveness of the functioning of the
managed system itself and / or the effectiveness of the actual management activity.
   The main tool for optimizing decision-making in this study was mathematical methods. The
technological process of functioning of the rating evaluation model of educational organizations
for managing the educational system is shown in Figure 6.
   For effective management of educational organizations, information about the final rating
is not enough. This indicator allows you to get a General idea of the situation in educational
complexes and draw appropriate conclusions. To make specific management decisions to
improve performance, it is necessary to analyze the rating for each criterion.



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                           5–21




Figure 6: Technological process of functioning of the model of rating evaluation of educational organi-
zations for the management of the educational system


   Evaluating the management of a large regional educational system is a multi-component
process that involves a detailed analysis of the functioning of each component of the object
under study. Based on the above material, we can conclude that in order to organize a qualitative
assessment of the management of a large regional educational system, it is necessary to develop
an appropriate model.
   The authors propose a model that allows us to evaluate each component of the management
of an educational organization (Figure 7). The model represents a directed graph. Each criterion
is a composite criterion.




Figure 7: A fragment of a mathematical model for calculating the rating of each evaluation criterion
for an educational complex




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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                        5–21


  The criterion for managing the quality of education (criterion 1) consists of four groups of
indicators:

    • indicators of individual educational results-allow you to characterize the learning dynam-
      ics of each individual student;
    • indicators of the overall level of academic performance-aimed at creating a holistic picture
      of learning material by students;
    • indicators of high educational achievements-help to get information about the number of
      winners of Olympiads and various competitions at various levels;
    • the performance of graduates.

  The criterion for managing the availability of education (criterion 2) is also divided into three
groups of indicators, which will allow us to summarize the data obtained on the functioning of
the management system of an individual organization:

    • indicators of overall access to education for children of appropriate ages;
    • indicators of access to continuing education-create an idea of the effectiveness of the
      education system as a whole, and therefore allow you to assess the quality of management
      of this system;
    • indicators of access to education for children with special needs.

   The third component of the model (criterion 3) is a criterion for managing the efficiency
of resource use. This component is a financial indicator of the functioning of the educational
system, since most educational institutions in Russia are fully supported by the state. This
component is also divided into components:

    • indicators of effective use of financial resources;
    • indicators for creating appropriate conditions for students;
    • indicators of effective use of school premises;
    • indicators of effective work of teachers.


4. Research Result
Let’s consider the application of this mathematical model on the example of calculating the
final value for three criteria for 4 educational organizations that are combined in an educational
complex [23]. The data is presented in Table 1.
   Based on the selected indicators and the final assessment of the educational institutions of
the complex, a neural network model was built that allows making a forecast of the final rating
value of the entire complex as a whole (Figure 8).




                                                14
     Table 1
     Final rating of educational organizations
               Educational           Standard values for criteria         Normalized values by criteria    Sum of norma-    Final
               organization    Criterion 1 Criterion 2 Criterion 3   Criterion 1 Criterion 2 Criterion 3     lized values   rating
                                                                                                              by criteria




15
                  EO No 1          2,60          3,5      16,42          0            0          0,15            0,15         4
                  EO No 2          7,07          5,12     15,07        0,70           1           0               1,7         2
                                                                                                                                     Ludmila A. Ponomareva et al. CEUR Workshop Proceedings




                  EO No 3          8,99          3,56     15,58          1          0,04         0,06            1,09         3
                  EO No 4          7,23          4,37     23,99        0,723        0,54          1              2,26         1
                  EO No 4          7,23          4,37     23,99        0,723        0,54          1              2,26         1
                                                                                                                                     5–21
Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                        5–21




Figure 8: Visualization of neural network


  The input variables of the neural network are as follows:
   1. Quality criterion:
          • The share of individual educational cards with a positive growth rate in the total
            number for the considered educational organization;
          • Decile coefficient of positive growth rate (the ratio of the average score for the year
            of 10% of students with the best results to the average score for the year of 10% of
            students with the worst results);
          • Growth rate of student’s educational results;
          • Share (percentage) of students who have mastered the program on “good” and
            “excellent”;
          • Percentage of graduates who passed the final exam with a score higher than 160
            points in three subjects;
          • Percentage of graduates who passed the final exam with a score higher than 220
            points in three subjects;
          • Average score of independent diagnostics conducted by the regional center for
            education quality assessment;
          • Share of medalists among graduates of an educational organization;
          • Number of students-winners, prize-winners (laureates) of Olympiads, competitions
            of all-Russian and regional levels from the Federal and regional list;
          • The number of subjects in which the educational organization has winners or
            prize-winners of Olympiads, competitions of the all-Russian, district, regional, and
            municipal levels;



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                      5–21


         • Percentage of students enrolled in additional education programs implemented by
           the educational organization itself and other organizations.
   2. Accessibility criteria:
         • Percentage of students registered (and staying) in this territory who receive basic
           General education services;
         • Percentage of students registered (and staying) in this territory who receive addi-
           tional education services;
         • Percentage of students enrolled in pre-school education programs;
         • The percentage of students who continued their education in the basic General
           education program, out of the number of those who completed their education in
           the primary General education program;
         • The percentage of students who continued their education in the secondary General
           education program, out of the number of those who completed their education in
           the basic General education program;
         • Percentage of students receiving basic General education services in specialized
           educational institutions;
         • Percentage of students receiving basic General education services in inclusive edu-
           cational institutions;
         • The presence of a regularly updated website of the educational organization.
   3. The criterion of efficiency of resource use:
         • Share of extra-budgetary funds in the total amount of financial resources of the
           educational organization;
         • The share of funds spent on the remuneration of teaching staff in relation to the
           total remuneration Fund;
         • Share of funds from the extra-budgetary Fund spent on remuneration of teaching
           staff;
         • The number of students per teaching staff;
         • The density of the load (average number of training hours) one of the school’s office;
         • The decile ratio of the density of loading one of the school’s office;
         • Number of innovative projects implemented;
         • Number of target programs implemented;
         • Availability of experimental sites at the Federal, regional, and municipal levels;
         • Percentage of teachers with the highest qualification category;
         • Percentage of teachers who have passed independent certification;
         • Percentage of teachers who have completed advanced training courses in the past
           three years;
         • Share of teachers of the organization who prepared winners, prize-winners (laure-
           ates) of competitions of all-Russian, district / regional, municipal levels during the
           last three years;
         • Percentage of teachers whose effective teaching experience was distributed at the
           national and regional level;



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                        5–21


         • Total number of downloaded lesson scenarios;
         • Total Russian scientific citation index;
         • Number of students per computer compared to the municipal average;
         • The proportion of computers with access to the Internet;
         • Number of media library programs implemented in the educational process;
         • Availability of extended day groups;
         • Providing students with free hot meals;
         • The presence of the gym;
         • The presence of the stadium;
         • Availability of specialized workshops/land plots;
         • The ratio of the total area of the educational organization to the number of students;
         • The ratio of the classroom area to the total number of students;
         • The ratio of the number of specialized offices and laboratories to the total number
           of classrooms;
         • Share of funds for the creation and development of the educational environment
           (including material and technical support).
  Output is the final value of the rating of the educational organization.
  The nodes of the graph shown in blue are the incoming numeric values of the quality criteria,
availability, and efficiency of the use of resources of each individual educational organization.
The nodes of the graph, colored in red, represent the numeric value of the individual criteria of
the educational organization. Finally, the graph node, colored green — is the final numerical
value of the evaluation of an educational organization, taking into account all three criteria, on
the basis of which the overall rating for 50 educational organizations will be compiled.
  Using the scatter plot (Figure 9) it is possible to estimate the degree of deviation of the
predicted data from the accepted standard. In this case, it is possible to visually determine the
correctness of calculating the final values of the assessment for educational organizations from
which the rating is compiled. When visualizing the chart, two lines were drawn that form a
confidence interval.
  Almost all points (all received rating numerical values for educational organizations) lie
within the “corridor” set by them. This means that we can say that the built neural network
model of managing a large educational system works effectively.
  The rating score calculated using the neural network model allows us to develop effective
control actions aimed at achieving the goals of functioning of a large educational complex.
  The model can be applied autonomously, or as a module of the decision support system for
managers and specialists of educational management bodies.


5. Conclusion
As a result of the study, the authors proposed:
    • mathematical model of the process of calculating the values of indicators that fully
      characterize the activities of an educational organization. The criteria are best represented
      as a directed graph whose vertices correspond to the stages of calculating the rating score,
      and their weight is equal to the corresponding numerical values obtained at each stage;



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Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                  5–21




Figure 9: The scatter chart


    • the problem of optimization of control over a given set of elements of a hierarchical
      structure is formulated. using dynamic programming methods, the solution of the problem
      is described and the values of labor intensity are obtained;
    • an example of the proposed information system that implements a mathematical model
      for building a rating of an educational complex is given.


References
 [1] Y. Orlov, D. Zenyuk, A. Samuylov, D. Moltchanov, S. Andreev, O. Romashkova,
     Y. Gaidamaka, K. Samouylov, Time-dependent SIR modeling for D2D communications
     in indoor deployments, in: Proceedings — 31st European Conference on Modelling and
     Simulation, ECMS 2017, 2017, pp. 726–731.
 [2] I. A. Gudkova, O. N. Romashkova, V. E. Samoylov, Determination of the Range of the Guar-
     anteed Radio Communication in Wireless Telecommunication Networks of IEEE 802.11
     Standard with the Use of Ping Program , in: CEUR Workshop Proceedings 8. ”ITTMM 2018
     — Proceedings of the Selected Papers of the 8th International Conference ”Information
     and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems”,
     volume 2177, 2018, pp. 54–59. URL: http://ceur-ws.org/Vol-2177/#paper-08-1060.
 [3] O. N. Romashkova, Y. V. Gaidamaka, L. A. Ponomareva, I. P. Vasilyuk, Application
     of Information Technology for the Analysis of the Rating of University , in: CEUR
     Workshop Proceedings 8. ”ITTMM 2018 — Proceedings of the Selected Papers of the
     8th International Conference ”Information and Telecommunication Technologies and




                                              19
Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                       5–21


     Mathematical Modeling of High-Tech Systems”, volume 2177, 2018, pp. 46–53. URL: http:
     //ceur-ws.org/Vol-2177/#paper-07-1010.
 [4] L. A. Ponomareva, P. E. Golosov, A. B. Mosyagin, V. I. Gorelov, Method of effective
     management of competence development processes in educational environments, Modern
     science: actual problems of theory and practice. Series: natural and technical 9 (2017)
     48–53.
 [5] L. A. Ponomareva, M. I. Kumskov, E. A. Smolenskii, D. F. Mityushev, N. S. Zefirov, Method
     of computer aided formation of organic compound descriptors for quantitative structure-
     property relationships, News of the Academy of Sciences. Chemical series 8 (1994) 1391.
 [6] E. Prokhorov, L. Ponomareva, E. Permyakov, M. Kumskov, Fuzzy classification and fast
     rules for refusal in the QSAR problem, Pattern Recognition and Image Analysis 21 (2011)
     542–544. doi:1 0 . 1 1 3 4 / S 1 0 5 4 6 6 1 8 1 1 0 2 0 9 1 X .
 [7] M. I. Kumskov, S. E. Peshkova, L. A. Ponomareva, K. I. Rezchikova, Estimation of activation
     energies of thermal decomposition of nitro compounds based on structural descriptors,
     Russian Chemical Bulletin 45 (1996) 1840–1843. doi:1 0 . 1 0 0 7 / B F 0 1 4 5 7 7 6 0 .
 [8] E. Bobrikova, Y. Gaidamaka, O. Romashkova, The application of a fluid-based model for the
     analysis of the distribution time of a file among users in peer-to-peer network, in: Selected
     Papers of the II International Scientific Conference ”Convergent Cognitive Information
     Technologies” (Convergent 2017). CEUR Workshop Proceedings, volume 2064, 2017, pp.
     55–61. URL: http://ceur-ws.org/Vol-2064/paper06.pdf.
 [9] E. I. Prokhorov, L. A. Ponomareva, E. A. Permyakov, M. I. Kumskov, Fuzzy classification
     and fast rejection rules in the structure-property problem, Pattern Recognition and
     Image Analysis: Advances in Mathematical Theory and Applications 23 (2013) 130–138.
     doi:1 0 . 1 1 3 4 / S 1 0 5 4 6 6 1 8 1 3 0 1 0 1 0 0 .
[10] E. Prokhorov, L. Ponomareva, E. Permyakov, M. Kumskov, Fuzzy Predicting Models in
     ”Structure — Property” Problem, in: Proceedings of the International Workshop on Soft
     Computing Applications and Knowledge Discovery (SCAKD 2011), Moscow, Russia, June
     25, 2011., 2011, pp. 89–93.
[11] G. V. Gorelov, O. N. Romashkova, Influence of russian, spanish and vietnamese speech char-
     acteristics on digital information transmission quality, in: IEEE International Symposium
     on Industrial Electronics Proceedings of the IEEE International Symposium on Indus-
     trial Electronics, ISIE’96. Part 1 (of 2). sponsors: IEEE, Warsaw University of Technology.
     Warsaw, Poland, 1996, pp. 311–313.
[12] O. N. Romashkova, Y. V. Gaidamaka, L. A. Ponomareva, I. P. Vasilyuk, Application
     of Information Technology for the Analysis of the Rating of University, in: CEUR
     Workshop Proceedings 8. ”ITTMM 2018 — Proceedings of the Selected Papers of the
     8th International Conference ”Information and Telecommunication Technologies and
     Mathematical Modeling of High-Tech Systems”, volume 2177, 2018, pp. 46–53. URL:
     http://ceur-ws.org/Vol-2177/#paper-07-1010.
[13] O. N. Romashkova, L. A. Ponomareva, I. P. Vasilyuk, The process of automating the
     rating of russian universities, in: CEUR Workshop Proceedings 9. ”ITTMM 2019 —
     Proceedings of the Selected Papers of the 8th International Conference ”Information and
     Telecommunication Technologies and Mathematical Modeling of High-Tech Systems”,
     2019, pp. 109–117. URL: http://ceur-ws.org/Vol-2407/paper-12-121.pdf.



                                               20
Ludmila A. Ponomareva et al. CEUR Workshop Proceedings                                                        5–21


[14] G. V. Gorelov, N. A. Kazanskii, O. N. Lukova, Communication quality assessment in speech
     packet transmission networks with random service interrupts, Automatic Control and
     Computer Sciences 27 (1993) 62.
[15] L. A. Ponomareva, S. V. Chiskidov, O. N. Romashkova, Instrumental implementation
     of the educational process model to improve the rating of the universities, in: CEUR
     Workshop Proceedings 9. ”ITTMM 2019 — Proceedings of the Selected Papers of the
     8th International Conference ”Information and Telecommunication Technologies and
     Mathematical Modeling of High-Tech Systems”, volume 2407, 2019, pp. 92–101. URL:
     http://ceur-ws.org/Vol-2407/paper-10-120.pdf.
[16] O. N. Romashkova, E. N. Pavlicheva, Resource management in distance and mobile
     education systems, in: CEUR Workshop Proceedings 9. ”ITTMM 2019 — Proceedings of the
     Selected Papers of the 8th International Conference ”Information and Telecommunication
     Technologies and Mathematical Modeling of High-Tech Systems”, volume 2407, 2019, pp.
     102–108. URL: http://ceur-ws.org/Vol-2407/paper-11-119.pdf.
[17] L. A. Ponomareva, V. L. Kodanev, Development module of the corporate information
     system ”educational environment of the university” based on cloud technologies, in:
     Computer science: problems, methodology, technology the collection of materials of XVII
     international scientific conference: in 5 t., 2017, pp. 393–398. URL: https://elibrary.ru/item.
     asp?id=28952199.
[18] A. I. Kapterev, O. N. Romashkova, Challenges for russian ecosystem of higher education
     for on board communications, in: 2019 Systems of Signals Generating and Processing
     in the Field of on Board Communications, volume 1, 2019, pp. 227–232. doi:1 0 . 1 1 0 9 / S O S G .
     2019.8706719.
[19] L. A. Ponomareva, P. E. Golosov, Development of a mathematical model of the educational
     process at the university to improve the quality of education, Fundamental research (2017)
     77–81. URL: https://elibrary.ru/item.asp?id=28800201.
[20] E. N. Pavlicheva, O. N. Romashkova, Model of functioning of information system for
     institute of distance education of specialists of onboard communications, in: 2019 Systems
     of Signals Generating and Processing in the Field of on Board Communications, volume 1,
     2019, pp. 382–386. doi:1 0 . 1 1 0 9 / S O S G . 2 0 1 9 . 8 7 0 6 7 8 3 .
[21] O. N. Romashkova, L. A. Ponomareva, Model of educational process in high school using
     Petri nets, Modern information technologies and IT education 13 (2017) 131–139. URL: http:
     //sitito.cs.msu.ru/index.php/SITITO/article/view/244. doi:1 0 . 2 5 5 5 9 / S I T I T O . 2 0 1 7 . 2 . 2 4 4 .
[22] G. V. Gorelov, O. N. Romashkova, Influence of russian, spanish and vietnamese speech char-
     acteristics on digital information transmission quality, in: IEEE International Symposium
     on Industrial Electronics Proceedings of the IEEE International Symposium on Indus-
     trial Electronics, ISIE’96. Part 1 (of 2). sponsors: IEEE, Warsaw University of Technology.
     Warsaw, Poland, 1996, pp. 311–313.
[23] L. A. Ponomareva, V. L. Kodanev, S. V. Chiskidov, Model of management of process of
     development of competences in educational organizations, in: New information technolo-
     gies in scientific research materials of the XXII all-Russian scientific-technical conference
     of students, young scientists and specialists. Ryazan state radio engineering University,
     2017, pp. 20–22. URL: https://elibrary.ru/item.asp?id=30521104.




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