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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Innovative Complex of Information and Technological Support of Professional Training in Smart Cities</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Volodymyr Pasichnyk</string-name>
          <email>vpasichnyk@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mariia Nazaruk</string-name>
          <email>marinazaruk@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nataliia Kunanets</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Information Systems and Networks Department, Lviv Polytechnic National University</institution>
          ,
          <addr-line>Lviv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>It is proposed the training process of qualified specialists in accordance with the needs of a person and the requirements of the labor market in the smart city to be presented in the form of five consecutive functional stages: determination of professional inclinations and abilities; monitoring of the urban labor market; a choice of the future profession; a choice of educational institution; formation of an individual learning trajectory. The paper provides the description of the architecture developed by the authors and the processes of main modules of the program and algorithmic complex of information and technological support for the training of specialists in smart cities. The peculiarities of program realization are revealed as well as the system functioning and the technical characteristics of the software product.</p>
      </abstract>
      <kwd-group>
        <kwd>smart city</kwd>
        <kwd>OLAP</kwd>
        <kwd>hypercube</kwd>
        <kwd>knowledge potential</kwd>
        <kwd>career orientation test</kwd>
        <kwd>web application</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        In modern information society, an innovative type of social existence is formed,
where everyone is technologically and institutionally guaranteed the effective
implementation of two important information processes: the first one is free creation and
dissemination, and the second one is receiving and processing of information [
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ].
      </p>
      <p>
        The formation of this social system led to a series of information and technological
transformations and generated new tasks, the solution of which is possible only in the
context of interdisciplinary research related, in particular, to the formation of
hightech social and communication environments in the cities that are actively turning into
social polis with complex infrastructures [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. These infrastructures need to be
effectively shaped, developed, modernized and adapted to the needs of communities. One
of the effective concepts of implementing such approach is the concept of smart city,
which provides a radical reorganization of all life spheres in the city, including the
social and communication environment based on modern information and
communication technologies [
        <xref ref-type="bibr" rid="ref4 ref5">4, 5</xref>
        ]
      </p>
      <p>According to the analysts, the city can be defined as smart provided that
investments will focus on the training of a highly educated workforce, which serves as a
main driver of the city’s innovative development. As a result, a new transformational
paradigm has been formed, which IBM experts call the educational continuum, which
includes: life-long learning technologies, data analysis for student and institutional
data and performance indicators, personalized learning trajectories, the use of the
acquired competences for the development of the economy and the growth of the city
potential as a whole.</p>
      <p>
        A significant number of large and small cities in the world use this innovation to
implement projects that ensure their development with the introduction of intelligent
digital information, communication networks and technologies. This, in turn, requires
the development of unique innovative models of the hyper-complex system, which is
a modern city, taking into account historical, mental, religious, political and economic
peculiarities, and conducting systematic research on an interdisciplinary platform [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ].
      </p>
      <p>
        The city’s social and communication environment is formed and functions in a
complex system of information flows, where on the basis of modern communication
networks, information and communication technology complexes, processes of
creation, processing, storage and transmission of information between subjects that
communicate take place. It combines medical, educational, cultural, scientific institutions,
structures of municipal government, mass media, and others [
        <xref ref-type="bibr" rid="ref10 ref7 ref8 ref9">7-10</xref>
        ].
      </p>
      <p>In such conditions, the need to develop a software and algorithmic complex that
would implement the basic principles of information and technology support of the
qualified specialist training in accordance with the needs of an individual and the
requirements of the labor market in a smart city becomes evident.</p>
      <p>The purpose of the paper is to formulate a set of requirements, system functional
characteristics, analysis, architecture construction and program implementation of the
software and algorithmic complex of information and technological support of
specialist training in accordance with the needs of an individual and the requirements of
the labor market in smart cities.</p>
      <p>1.1</p>
    </sec>
    <sec id="sec-2">
      <title>Related Work</title>
      <p>Information systems that are used today to accompany the profession choice in cities
are not effective enough. In particular, there is practically no possibility in one
information point to analyze information about a person as an object of vocational and
educational work and to obtain comprehensive information and analytical data of the
regional labor market and educational services. Information is mainly provided
without proper adequacy and structuring.</p>
      <p>Information sources about the vocational orientation of the World Wide Web are
divided into integrated and independent web pages.</p>
      <p>Integrated web pages are pages of professional counseling organizations and
institutions. They contain both general and specific information for this institution.</p>
      <p>Independent web pages are non-interlinked web pages that include information
about vacancies, professions, educational offers for schools and higher education
institutions, work offers with company descriptions, as well as they assist in making
decisions about choosing the future profession or about its change.</p>
      <p>According to the functional purpose, information technologies focused on
providing solutions to the problems of professional orientation of young people can be
conditionally divided into the following classes:</p>
      <p>The sites of educational institutions that inform about the terms of the entry and
training directions, aimed, above all, at encouraging graduates to enter this or that
higher educational institution. Such resources are not oriented to maintaining the
processes of individual choice of profession, they do not give grounded advice to an
entrant, but instead they create uncertainty about the profession, as a young person
hesitates about several equal or similar options for choosing a possible specialty.</p>
      <p>Educational portals. This type includes resources that contain comprehensive
information on all aspects that relate to education in general. However, such sites do not
provide clear advice for people who choose a profession, they do not give an
opportunity for objective testing on the subject of professional orientation.</p>
      <p>Resources of employment. This type of Internet resources is the most widespread
among similar tools. As a rule, they can help you to get information about the list of
vacancies, their features and additional requirements, the presence of vacancies in
different regions, as well as to establish contact with an employer. The disadvantage
of such IT is a lack of information about educational institutions, where it is possible
to obtain the relevant profession, re-qualify or get a second higher education.</p>
      <p>Test resources. This type of IT offers a considerable selection of different
psychological tests that relate to the choice of profession. As a rule, their main drawback is
that they do not contain information on the further direction of the profession search,
that is, educational institutions, aspects of a profession, prospects of employment, the
need for a profession in our time, etc.</p>
      <p>The results of the comparison of the functional characteristics of existing foreign
and domestic online resources of professional orientation are presented in Table 1.1,
the analysis was conducted by the following parameters:</p>
      <p>P1 – definition of professional type of personality;
P2 – examination of the urban labor market;</p>
      <p>P3 – recommendations for choosing a profession (according to the professional
abilities and the required professions);</p>
      <p>P4 – examination of educational institutions functioning in the city;
P5 – selection of educational institution according to chosen profession;
P6 – the possibility of forming an individual learning trajectory (according to the
level of knowledge potential).</p>
      <p>The analysis allows us to claim that the implemented software and algorithmic
complex of information and technological support of the specialist training processes
combines the main stages of specialist training taking into account the needs of an
individual, economic and social development, and the requirements of the labor
market in the city, community or region, as well as the systemic aspirations of the
communities. And because of its functionality it is perhaps the most complete
representation of the vital functions of such systems
2</p>
      <sec id="sec-2-1">
        <title>Complex of Information</title>
      </sec>
      <sec id="sec-2-2">
        <title>Professional Training and</title>
      </sec>
      <sec id="sec-2-3">
        <title>Technological Support of</title>
        <p>2.1</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Specialist Training in Smart Cities</title>
      <p>The process of qualified professional training in accordance with the needs of an
individual and the requirements of the labor market in the smart city is a complex,
multistep, iterative process that requires consideration of a large number of parameters and
prerequisites. It can be expanded in five consecutive functional steps: stage 1 is the
definition of professional inclinations and abilities; stage 2 is the labor market
monitoring in order to determine the trends of changes in the factors affecting the supply
and demand of the workforce; stage 3 is the choice of a future profession; stage 4 is
the choice of educational institution; stage 5 is the formation of an individual learning
trajectory (ILT).</p>
      <p>On the basis of the above sequence of specialist training stages, the Diagram of
using options (Fig. 1) of the software and algorithmic complex of information and
technological support for the specialist training processes with external entities (user,
administrator) and the requirements to the basic functions of the developed software
and algorithmic complex was formed.</p>
      <p>The main actors (an administrator and a user) are selected, users can be a person
who makes decisions on their professional orientation (the entrant), their parents,
employers, specialists of employment centers, and others. Actor User uses a system to
monitor the labor market in the city, review information about educational institutions
operating in the city, as well as to determine the professional abilities and to receive
recommendations on the choice of profession and, accordingly, the revision of the
system generated by an individual learning trajectory. Actor Administrator controls
the technological aspect of the functioning of the software and algorithmic complex
as well as monitors and eliminates possible errors or failures in the system.
2.2</p>
    </sec>
    <sec id="sec-4">
      <title>Architecture of Software and Algorithmic Complex</title>
      <p>The software and algorithmic complex of information and technological support of
the processes of specialist training in accordance with the needs of an individual and
the requirements of the labor market in a smart city is developed on the basis of
threelevel architecture (Fig. 2). This enabled to split it into separate interrelated parts,
which divide the system functions and separate the user interface from the data.
Administration subsystem. The administration subsystem contains the following
components: access right distribution module, user profile support module,
identification and authentication module, and test support module.</p>
      <p>The access right distribution module provides the user, in accordance with the
rights of access, the ability to work in the available modes to them (to undergo testing,
review vacancies, look at the city’s educational institutions, etc.).</p>
      <p>The user profile support module allows you to create, edit and delete user profiles.</p>
      <p>The identification and authentication module provides the user with a possibility to
enter login and password and establish the user’s correspondence with the identifier
provided to him.</p>
      <p>The test support module allows you to add, edit and delete tests oriented to
defining the vocational orientation (Holland and Yovashi tests) as well as tests for
identifying the person’s knowledge potential.</p>
    </sec>
    <sec id="sec-5">
      <title>Subsystem of the multidimensional data analysis. The subsystem of the</title>
      <p>multidimensional data analysis concerning the activities of the educational institutions
in the city consists of OLAP data warehouses, data conversion and download module,
OLAP server and OLAP client. The OLAP warehouse contains the source data for the
analysis of the activities of educational institutions. The data structure is
multidimensional and adapted for OLAP analysis. The main function of the module
for data conversion and download is the formation and maintenance of relevant data
in the repository.</p>
      <p>The OLAP server performs operations to process queries for multidimensional
data, as well as to ensure the counting and storage of aggregate (total, average, etc.)
values.</p>
      <p>The OLAP client displays the data received from the OLAP server in a
userfriendly mode.</p>
      <p>
        Developing data warehouse of software and algorithmic complex there were
created multidimensional data cubes of different degrees of complexity [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. In Fig. 3 a
diagram of the multidimensional analysis process of an educational institution
functioning is shown.
      </p>
      <p>Data hypercube is not analyzed in all dimensions at the same time. Typically, a
data sample from a hypercube is made for the specific values of a particular set of
measurements, and as a rule, one or two measurements are left to be free, using which
further analysis is carried out.</p>
      <p>
        The subsystem of determination of professional features allows users to define
their professional inclinations, abilities and to choose a field of professional activity,
includes a database of tests, a module for assessing and a database of test results [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].
      </p>
      <p>
        The database of tests is intended for the storage of vocational guidance tests of
Holland and Yovashi [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
      </p>
      <p>The module for assessing the results processes the test results and writes them to
the database of test results.</p>
    </sec>
    <sec id="sec-6">
      <title>Subsystem of formation of an individual learning trajectory. The subsystem of</title>
      <p>formation of ILT allows to create individual learning trajectories of users, includes the
module for the formation of a training order, a database of competencies, the module
for the formation of ILTs and the database of ILT.</p>
      <p>The module for training order formation gives an opportunity to download from
the server the reporting information and analytical and statistical materials of the city
employment centers (information about the need of the city in the workers of one or
another sphere) and save them in the database of competencies.</p>
      <p>
        The module of formation of ILT creates individual learning trajectories for users on
account of the implementation of diffusion-liked models of the knowledge potential
dissemination developed by the authors in the educational social and communication
environment in the smart city. The authors proposed and worked out variants of
solving the problem of modeling the component interaction of the knowledge potential of
different agents within the given clicks, as well as introduced a multicomponent
vector of the knowledge potential (solving the corresponding problem for the system of
different equations) and presents the results of numerical experiments [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]. In the case
when each k user (agent) is characterized by two knowledge potentials  l,k,m
( l  1,2 , for example, potentials characterizing mathematical knowledge and language
of k agent at the m moment of time, a model describing the redistribution of these
potentials taking into account possible influences of one of them on another one (for
example, obtaining a high knowledge potential in mathematics can affect the
reduction of the knowledge potential of the language for a given object, or vice versa,
positive interactions), appears in the form:
 k j
1,k.m1 1,k,m  1,k,i (1,k,m 1,k,i )  f1,m  g1,m (1,k,m , 2,k,m )
 ik1j
 2,k,m1  2,k,m   2,k,i ( 2,k,m  2,k,i )  f2,m  g2,m (1,k,m, 2,k,m )
 i1
where,
f1,m ,
f2,m
      </p>
      <p>are the intensity of the sources of knowledge transfer,
g1,m (1,k,m,2,k,m ) , g2,m(1,k,m,2,k,m) are functions that characterize the
interdependence (mutual influence) of studying in this case, mathematics and language.</p>
      <p>Similarly, in the case when objects (agents) are characterized by many potentials,
that is, l  1,2,...,l* , we have:</p>
      <p>k j
l,k.m1  l,k,m   l,k,i (l,k,m l,k,i )  fl,m  gl,m (1,k,m,...,l*,k,m )</p>
      <p>i1</p>
      <p>The algorithms of the corresponding numerical calculations for forecasting
situational states presuppose their use in creating individual learning trajectories of users
taking into account abilities, interests and opportunities.</p>
      <p>In Fig. 4 there is a diagram of activity characterizing the process of identifying a
multicomponent knowledge potential in order to form an individual learning
trajectory. The inputs are the initial distributions of various types of knowledge potentials of
agents, weight ratios, as well as the intensity of sources of knowledge distribution.</p>
      <p>The ILT database provides the storage of generated individual learning trajectories
of users for further analysis and use.</p>
      <sec id="sec-6-1">
        <title>Principles of Software and Algorithmic Complex Functioning</title>
        <p>The software and algorithmic complex of information and technological support of
the training processes of qualified specialists in accordance with the needs of the
individual and the requirements of the labor market in the smart city is developed in the
form of a single-page application (SPA), which has several advantages: a rich
functional interface ; quick reaction of the interface, due to the lack of need to contact the
server at each action; a significant reduction in the load on the server; significant
simplification of the logic and complexity of the server.</p>
        <p>The architecture of the web application is designed on the basis of client-server
technology, which allows you to work both locally and in network mode. The server
part is written using the Vue.js environment and JavaScript framework that uses the
MVVM template to create user interfaces based on data models through reactive
bindings.</p>
        <p>For users, the following modes of the web application function are defined:
definition of professional abilities; review of vacancies; review of educational institutions in
the city; career choices; viewing of an individual learning trajectory; administration.
You can go to each of the modes by selecting the appropriate tab.</p>
        <p>The admission of a user to work with a software and algorithmic complex involves
the implementation of procedures for authorization or registration, the last one must
necessarily be carried out with the introduction of such data as the city of residence,
education level and birth date in order to their further multivariate analysis.</p>
        <p>After authorization, users are given an opportunity to determine their professional
abilities and inclinations through passing the vocational guidance test (different
professions are presented in pairs; in each pair of professions one should be preferred).</p>
        <p>To visualize and interpret the results of vocational guidance testing of users in the
software and algorithmic complex, the procedures are developed such as Process,
Prepare, Calculate, the program code of which is given below:
function CalculatePollResult(Poll poll, Collection
userSelectedVariants)
{</p>
        <p>Collection pollResultItems =
fetchAllPollResultItemsFormDB(poll)
foreach pollResultItem in pollResultItems
foreach userSelectedVariant in userSelectedVariants
if userSelectedVariant.resultItem is equal to
pollResultItem</p>
        <p>add one point to pollResultItem.points
end if
end foreach
end foreach
foreach pollResultItem in pollResultItems
if pollResultItem.points is equal to 0</p>
        <p>remove pollResultItem from pollResultItems
end if
end foreach
return sortResultItemsByPoints(pollResultItems)
}</p>
        <p>For example, Fig. 5 illustrates and interprets the results of the method of
determining the professional type of personality.</p>
        <p>After completing a vocational guidance test, the opportunity to review vacancies
(taking into account the needs of the city of the specialists) is given with the
maximum of their compliance with the professional inclinations and abilities of a person
identified as a result of testing, as well as the city’s ability to ensure their training, that
is, the availability of educational institutions that educate specialists for the chosen
direction.</p>
        <p>It should be noted that for a faster and more reliable implementation of the
software product a set of independent components is formed, each of which performs
own functions. This is in particular the component of job search for a specific
professional type of personality.
4</p>
      </sec>
      <sec id="sec-6-2">
        <title>Conclusion</title>
        <p>The architecture of the software and algorithmic complex of information and
technological support of the training specialist processes in the smart city is developed.
Information is given about the main software modules of the software and algorithmic
complex, the levels of display, application and data management are highlighted.
Diagrams of multidimensional analysis of educational institution activities and
process of determination of multi-component knowledge potential for formation of
individual learning trajectories of agents are given. The software and algorithmic complex
is developed in the form of a one-page web application, which gives it signs of
mobility and simplifies the implementation of data updating processes.</p>
        <p>At the present time, the testing of the developed software and algorithmic complex
is carried out on the basis of the city of Ternopil. Full-scale database filling and
system debugging of all components of the complex is being implemented. Full-scale
testing of the system in real conditions of the admission campaign to the university on
the specialties of the educational branch Information Technologies is scheduled on
May-August 2018. At the same time, analytical assessments of educational experts
and representatives of firms - employers in the IT industry confirm previous positive
feedback on the completeness, integrity and efficiency of the proposed architectural
solutions of the system.</p>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Kupriyanovsky</surname>
            ,
            <given-names>V. P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bulancha</surname>
            ,
            <given-names>S. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chernykh</surname>
            ,
            <given-names>K. Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Namiot</surname>
            ,
            <given-names>D. E.</given-names>
          </string-name>
          :
          <article-title>Smart cities as the "capitals" of the digital economy</article-title>
          .
          <source>International Journal of Open Information Technologies</source>
          <volume>2</volume>
          ,
          <fpage>41</fpage>
          -
          <lpage>52</lpage>
          (
          <year>2016</year>
          )
          <article-title>(in Russian)</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Boulton</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Brunn</surname>
            ,
            <given-names>S. D.</given-names>
          </string-name>
          , &amp;
          <string-name>
            <surname>Devriendt</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          :
          <article-title>Cyberinfrastructures and "smart" world cities: Physical, human, and soft infrastructures</article-title>
          . In: Taylor, P.,
          <string-name>
            <surname>Derudder</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hoyler</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Witlox</surname>
            ,
            <given-names>F</given-names>
          </string-name>
          . (eds.) International Handbook of Globalization and World Cities. Cheltenham, U.K.:
          <string-name>
            <surname>Edward Elgar</surname>
          </string-name>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Zhuhadar</surname>
            ,
            <given-names>L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Thrasher</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Marklin</surname>
            ,
            <given-names>S.:</given-names>
          </string-name>
          <article-title>The next wave of innovation - Review of smart cities intelligent operation systems</article-title>
          .
          <source>Computers in Human Behavior</source>
          <volume>66</volume>
          ,
          <fpage>273</fpage>
          -
          <lpage>281</lpage>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Washburn</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          :
          <article-title>Helping CIOs Understand "Smart City" Initiatives: Defining the Smart City, Its Drivers, and the Role of the CIO</article-title>
          . Cambridge, MA: Forrester Research, http://public.dhe.ibm.com/partnerworld/pub/smb/smarterplanet/forr_help_cios_und_smart _city_initiatives.pdf.
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Kaplan</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Slivecko</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gardner</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Turner</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>The future of learning: Enabling economic growth</article-title>
          .
          <source>IBM Institute for Business Value</source>
          (
          <year>2014</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Carey</surname>
            ,
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>The end of College: Creating the future of learning and the university of everywhere</article-title>
          .
          <source>Riverhead Books</source>
          , New York, USA (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Stansbury</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          :
          <article-title>Will universities be responsible for the success of cities? https://www.ecampusnews.com/campus-administration/universities-smart-cities/.</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Davies</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          :
          <article-title>Internet of everything ePowering the smart campus&amp;the smart city</article-title>
          .
          <source>IBM Institute for Business Value</source>
          (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Marsh</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Molinari</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Rizzo</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          :
          <article-title>Human smart cities: A new vision for redesigning urban community and Citizen's life. Knowledge, information and creativity support systems: Recent trends, advances and solutions</article-title>
          , pp.
          <fpage>269</fpage>
          -
          <lpage>278</lpage>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Scuotto</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ferraris</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bresciani</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          :
          <article-title>Internet of Things: Applications and challenges in smart cities: A case study of IBM smart city projects</article-title>
          .
          <source>Business Process Management Journal</source>
          <volume>22</volume>
          (
          <issue>2</issue>
          ),
          <fpage>357</fpage>
          -
          <lpage>367</lpage>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Nazaruk</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pasichnyk</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          :
          <article-title>Information technology of analysis of secondary schools</article-title>
          .
          <source>Bulletin of Lviv Polytechnic National University «Information Systems and Networks» 783</source>
          ,
          <fpage>458</fpage>
          -
          <lpage>466</lpage>
          (
          <year>2014</year>
          )
          <article-title>(in Ukrainian)</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Peleshko</surname>
            ,
            <given-names>D.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ivanov</surname>
            ,
            <given-names>Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sharov</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Izonin</surname>
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Borzov</surname>
            ,
            <given-names>Y.</given-names>
          </string-name>
          :
          <article-title>Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes</article-title>
          .
          <source>In First International Conference on Data Stream Mining &amp; Processing (DSMP)</source>
          , pp.
          <fpage>159</fpage>
          -
          <lpage>162</lpage>
          (
          <year>2016</year>
          ). doi:
          <volume>10</volume>
          .1109/DSMP.
          <year>2016</year>
          .
          <volume>7583531</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13. Holland, J.:
          <article-title>Making vocational choices: A theory of careers</article-title>
          . Prentice Hall (
          <year>1973</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Bomba</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nazaruk</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kunanets</surname>
            ,
            <given-names>N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Pasichnyk</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          :
          <article-title>Constructing the diffusion-liked model of biocomponent knowledge potential distribution</article-title>
          .
          <source>International Journal of Computing</source>
          <volume>16</volume>
          (
          <issue>2</issue>
          ),
          <fpage>74</fpage>
          -
          <lpage>81</lpage>
          (
          <year>2017</year>
          )
          <article-title>(in Ukrainian)</article-title>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>