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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Optoelectronic Cyber-Physical System of Monitoring of Nature Protection Areas</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Zinoviy Osypenko</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yaroslav Nykolaychuk</string-name>
          <email>y.nykolaychuk@ukr.net</email>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Taras Hrynchyshyn</string-name>
          <email>gtarasm@ukr.net</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yaroslav Petrashchuk</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Volodymyr Hryha</string-name>
          <email>volodymyr.gryga@pnu.edu.ua</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Gorgany Nature Reserve</institution>
          ,
          <addr-line>7d Komarova Str., Nadvirna, 78400</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>King Danylo University</institution>
          ,
          <addr-line>35 Konovaltsia Str., Ivano-Frankivsk, 76018</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Nadvirna Vocational College by National Transport University</institution>
          ,
          <addr-line>177 Soborna Str., Nadvirna, 78400</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Vasyl Stefanyk Precarpathian National University</institution>
          ,
          <addr-line>57 Shevchenko Str., Ivano-Frankivsk, 76018</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>West Ukrainian National University</institution>
          ,
          <addr-line>11 Lvivska Str., Ternopil, 46020</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The basic principles of construction of modern cyber-physical systems (CPSs) are stated. The priority areas of CPS application are emphasized for computerized monitoring of protected areas, space satellite telecommunications systems, monitoring the spread of global changes in forests, as well as their impact on the growth of carbon dioxide in the atmosphere and global warming on the planet. Characteristics of nature protection objects are systematized as nonstationary and quasi-stationary sources of information. Prospects for the use of open optical data transmission channels protection of wireless laser channels from the effects of intense multiplicative atmospheric interference (rain, snow, dust, fog) are substantiated. High-performance microelectronic components and structures of specialized processors for the formation and digital processing of binary-manipulated optical signals are proposed. New high-performance structures for streamlining priority information flows based on deep parallelization of information flows, reduction of hardware complexity and maximum speed increase have been developed. Cyber-physical systems, background monitoring, nature protection areas, manipulated optical IntelITSIS'2022: 3nd International Workshop on Intelligent Information Technologies and Systems of Information Security, March 23-25, ORCID: 0000-0002-6177-913X (Y. Nykolaychuk); 0000-0001-5278-5733 (T. Hrynchyshyn); 0000-0003-2605-048X (Y. Petrashchuk); 0000-0001-5458-525X (V. Hryha); 0000-0001-9009-9136 (Z. Osipenko)</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>signals, special processors, streamlining data flows.</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>An important functional environment of modern society is information telecommunications
systems and IT technologies for the formation, transmission, processing, storage and use of data.</p>
      <p>
        In publications [
        <xref ref-type="bibr" rid="ref1 ref2">1,2</xref>
        ] the fundamental concept of multilayer CPS platform construction and
structure is outlined. The basic principles of CPS implementation are also formulated by J.Wan and
his colleagues [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. The main functions of CPS and their application are described in publications
[
        <xref ref-type="bibr" rid="ref1 ref4">1,4</xref>
        ], which reflects the interaction of the information system with the physical world, methods of
collecting, transforming, encrypting and compact data storage.
      </p>
      <p>Decision-making based on pattern recognition is a key issue in the development of theory and
principles for the implementation of multilayer and
multilevel real-time systems. Especially
informational and integral compatibility of these CPS components allows to significantly increase the
efficiency of online and offline systems.</p>
      <p>2022 Copyright for this paper by its authors.</p>
      <p>
        Nowadays, there are a significant number of real-time systems for industrial enterprises. At the
same time, background monitoring systems for nature protection areas (NPA) in Ukraine are used
very rarely. This situation does not allow the widespread use of existing CPS based on wired and
wireless electromagnetic signals, which, as many studies have shown, adversely affect plants, insects
and leads to a violation of the regenerative properties of the forest [
        <xref ref-type="bibr" rid="ref5">5-7</xref>
        ]. This outlines the high level
of improving CPS feasibility and their components based on optoelectronics and wireless
communication channels based on manipulated signals.
      </p>
      <p>CPS information sources are:
- analog and digital data at the output of sensors, ADC source codes;
- digital data at the output of encoders, encryption and information protection codes;
- output data of special processors and microcontrollers;
- modulated and manipulated signals of data transmission systems;
- physical and logical data of databases and knowledge bases;
- alphanumeric data and graphic information of 1D, 2D and 3D images.</p>
      <p>The above defines the conceptual characteristics of the development and large-scale
implementation of CPS in solving problems of information support of nature protection areas.</p>
      <p>An important nature protection area in the region of the Ukrainian Carpathians is the
PreCarpathian oil and gas fields.</p>
      <p>Industrial installations of the oil and gas industry are widespread in large areas of Ukraine, so they
can significantly affect the ecology of such regions.</p>
      <p>Analysis of the geography of the oil and gas province of the Carpathian region of Ukraine [7]
shows that throughout its territory there is a significant difference in altitude in the northern direction,
accompanied by runoff of many rivers, directly in a large number of geographically distributed oil.
This oil and gas province is geographically located in the Carpathians, which contains a significant
number of rivers. Therefore, a significant geological and negative ecological impact on environmental
protection of this area.</p>
      <p>It should be noted that in this region of the Carpathians in the basin of Bystrytsia-Nadvirnyanska
river is the territory of the nature reserve "Gorgany" [8].</p>
      <p>"Gorgany" Nature Reserve is one of the clusters of the transboundary UNESCO heritage site
"Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe". Its territory
has the status of la Strict Nature Reserve, provides for the actual preservation and further development
of beech and cedar virgin forests.</p>
      <p>In Germany, the following nature protection areas have the following status: Iasmuud National
Park, Southeast Rugen Biosphere, virgin forests on Bornholm, Schorfheide-Horin Biosphere Reserve,
Cedynski Park, Naturpark Uskermaikische Seen, Felgberger Seenlands chaft.</p>
      <p>Gorgany Nature Reserve belongs to the strict nature reserves, which is the only standard of human
inviolability in the central region of the Ukrainian Carpathians [8]. The German University for
Sustainable Development (Eberswalde) is a partner in creating a monitoring system for the Gorgany
Nature Reserve.</p>
      <p>In Fig. 1 shows a map of the heights of the Gorgany Nature Reserve [8].</p>
      <p>The territory of the reserve is characterized by the presence of significant heights 716-1754 м.
above sea level with the dominant alpine ridge Dovbushansky and mountain Dovbushanka height
1754 m above sea level.</p>
      <p>The described natural protection area in the Carpathian region is not equipped with appropriate
information support and real-time monitoring systems in terms of the introduction of CPS technology.
This is due to the special characteristics of natural protection area as sources of information. Thus, the
analysis of system and information characteristics of such objects is an urgent problem. The solution
of which will allow to successfully propose and implement in practice the relevant conceptual
principles of CPS construction. Such important principles are the use of state-of-the-art components in
the CPS structure, which include: microelectronic remote-controlled sensors; ADC; encoders; special
processors; telecommunication tools of data transmission; technologies for monitoring, displaying and
compact storage of large data sets.</p>
    </sec>
    <sec id="sec-3">
      <title>2. Natural protection areas as sources of information</title>
      <p>The task of background monitoring is to obtain information about the state and functioning of
geosystems and their constituent components. The essence of monitoring is to observe the
environment in space and time, assess the actual situation and predict changes in the future. Objects of
monitoring as sources of information are geological environment, atmospheric air, surface and
groundwater, soil and vegetation, flora, fauna, natural and anthropogenic impacts on them.</p>
      <p>Defining the tasks and objects of background monitoring of the geosystem allows us to establish
that according to information analysis and theory of information sources such objects are
characterized by quasi-stationary and non-stationary probabilistic properties. Therefore, in the
information flows processing generated by such objects, it is necessary to mathematically apply
powerful research methods based on the theoretical foundations of systems analysis, synthesis,
modelling, generalization, transients under the influence of perturbations, pattern recognition and
others.</p>
      <p>The Field-Map functions proposed in [8] allow solving a number of tasks in the process of
conducting the following monitoring works:</p>
      <p>1. climatic, stable meteorological phenomena, observation of the local climate; atmospheric
phenomena, precipitation, snow cover, air temperature, wind directions and speed, natural
phenomena;
2. water monitoring: surface and groundwater;
3. monitoring of flora and vegetation: natural and anthropogenic impacts, periodicity of
monitoring, permanent observation points networks, accounting areas, profiles and transects;
4. study of valuable relict plant communities;
5. forest monitoring;
6. fauna monitoring;
7. landscape monitoring;
8. radio ecological monitoring.</p>
      <p>Information arrays of measurements in each quarter of the observed natural protection areas are
characterized by a certain diversity of data, so they are combined into clusters.</p>
      <p>An example of successful application of the CPS monitoring system in natural protection areas is
the system developed by a group of Czech scientists [9]. This system is implemented on the basis of
unmanned aerial vehicles (UAVs), which consist of mechanical, electronic and software modules.</p>
      <p>The electronic module of the UAV contains [9]: computer for control and storage of data from
spectral cameras, LAN GigE interface, industrial computer AAEON - UP Squared
UPS-APLC2-A100232 is equipped with SSD (mSATA interface) and has a pair of ports 1Gb, Windows OS. This
device has three camcorders: hyperspectral camera (Photonfocus MV1-D2048x1088-HS02-96-G2),
SWIR camera (Photonfocus MV3-D640I-M01-144-G2-12) and thermal camera (Workswell WIRIS 2
gen). The registration of images is carried out at a certain point with the appropriate overlap from the
GPS values, based on the flight distance of the UAV.</p>
      <p>It is advisable to use open atmospheric optical channels based on manipulated signals [8] in the
absence of cellular coverage, as well as in the conditions of the territories which have the legal status
of absolute inviolability (for example “Gorgany” Nature Reserve).</p>
      <p>The implementation of telecommunication systems on the territory of natural protection areas is
the use of opto-electronic tools based on atmospheric optical channels and fiber-optic communication
lines. Optical communication channels are characterized by the absence of generation of
electromagnetic radiation into the environment, as well as insensitive to strong atmospheric and
electromagnetic influences in the landscape of high mountain areas.</p>
      <p>An important source of information on meteorological impact on the natural protection area site is
precipitation monitoring (rain and snow). It should be noted that rainfall monitoring is carried out by
stationary meteorological stations in standard defined geographical areas. At the same time,
measuring the height of snow cover in the winter, especially in protected areas, is practically carried
out by operators of route surveyors, according to existing technology [8].</p>
      <p>To carry out background monitoring of the height of snow cover in protected areas, the European
standard recommends the following technical devices:
1. Electronic GPS radio navigation device.
2. GIS Field-Map.
3. Hammerhead field computer.
4. Laser rangefinder-protractor ForestPro (LaserTech).
5. Electronic complex with Mapstar angle gauge.
6. GPS receiver (SXBlue).
7. Fork for measuring tree diameters (Hadlof).
8. Quadcopter (DJA Phantom 4Pro).
9. Photo trap (GSM Ultra-2G).</p>
      <p>10. Instruments and equipment for observations: compass, compass, altimeter, aneroid, fork, tape
measure (20 and 50 m.), Age drill, Bitterlich full meter, protractor, magnifier, shovel, ax, dust, field
diaries.</p>
      <p>The following devices are used for measuring the height of the snow cover: calibrated
metrologically certified snow gauge rails: M-103; M-103M; RCC-1.2; PSS-1.8 with the division price
1 cm. and rounding to the nearest whole; snow gauge weight VS-43; portable metal rail M-46; the
snow gauge folded M-78.</p>
      <p>Snow removal on the field route is carried out once every 10 days [8], and on the forest route once
every 5 days. Snow photography is performed by 1-3 routes within a radius of 5 km, from the post
and not closer than 0.5 km. from the post. The length of the route is 500 m. with registration every
10m.</p>
      <p>The technology of snow cover height monitoring that was described involves the participation of a
human operator in the winter and in mountainous conditions. It is extremely time-consuming and
information inefficient when the height of the snow cover can vary within 0.5-3 m.</p>
      <p>The above information on the observations of these objects as sources of information determines
the extremely high relevance of design and development of appropriate structural CPS solutions that
able to work reliably in the field in the temperature range -40 - +60 0C and 100% humidity. Given that
the number of sensors in natural protection areas can be hundreds and thousands, their cost should be
as low as possible and renewable.</p>
    </sec>
    <sec id="sec-4">
      <title>3. CPS architectures for monitoring of natural protection areas based on binary and differentially manipulated optical signals</title>
      <p>Legal restrictions on the use of information systems with electromagnetic radiation in the protected
areas of the strict reference regime are presented in [8] paper, which include, for example, the
“Gorgany” Nature Reserve. Since microelectronic components of such systems must work reliably in
field conditions of a wide range of temperatures (-40 - +80 0C), 100% humidity and high-lightning
effects of lightning, it is more appropriate in such protected areas to use laser systems based on
atmospheric open optical channels [7,10-14].</p>
      <p>The team of authors [8,15-17] proposed a number of new solutions for the creation of information
tools designed for background monitoring of flora and fauna of protected areas. It is presented 2D
CPS architecture based on a ring-star topology in Fig. 2.</p>
      <p>The presented architecture is organized on the basis of fiber-optic and open atmospheric
communication lines. It contains: ST - subscriber station of the operator of the permanent observation
point (POP); MC - microcontroller; S - sensor; V - fiber-optic communication line; MASAM
multiport associative shared access memory; SS - system server; OAR optical active repeaters;
solar power panel.</p>
      <p>In the process of designing microelectronic and optoelectronic equipment, the functional and
hardware redundancy of such architecture of the monitoring system was revealed. This is due to
functional redundancy structurally complex MASAM [18].</p>
      <p>The architecture of such a system is proposed in [16] work. Simpler communication stations (Fig.
3) are used. They are based on binary-manipulated optical signals with ordering of priority-defined
bit-oriented streams.</p>
      <p>This structure of the multilevel optical star-ring sensor network contains [16]: 1 - system server, 2
- communication stations, 3 - subscriber stations, 4 - monitoring objects, 5 - atmospheric optical
telecommunication lines. Each ST is equipped with a renewable power supply, which is not shown in
Figure 3. It should be noted that the information links between stations in Fig. 3 can be carried out not
only at right angles.</p>
      <p>Components of this CPS architecture are sensor networks telecommunications connected to the
subscriber stations (AS) of permanent observation points (POP). Open atmospheric channels based on
binary-manipulated optical signals were used [8,19].</p>
      <p>Atmospheric optical channels are based on the proposed method of wireless transmission and
receiving of information. Signals are manipulated by two signal signs "1" and "0" of amplitude for
one optical signal source with a laser of a given frequency. Then such a message is received by
receiver with registration of corresponding bits "1" and "0" (Fig. 4).</p>
      <p>4 .... 3 .... 1 ....</p>
      <p>.... 3
4
4
4
....
....
....
....
....
....</p>
      <p>....
....</p>
      <p>Thus, the effect of multiplicative interference on the signals of optical communication lines is
virtually identical, and the change in their intensity does not affect the received difference signal,
which becomes the corresponding signs "1" and "0" of transmitted messages.</p>
      <p>The structure of an optical data transmission system is shown in Fig.6 [19].</p>
      <p>It is shown a diagram (Fig. 9) of digital processing of differentially manipulated optical signal
under conditions of multiplicative interference.</p>
      <p>The positive effect is the practical absence of the influence of multiplicative interference on the
distortion of "1" and "0" information bits. This is achieved by the additional introduction of two
emitters of the same power and different spectrum of differentially manipulated and reference
nonmanipulated optical channel.</p>
      <p>This simplifies the demodulation of the transmitted information bits by determining the
differential-comparative difference between the manipulated and non-manipulated optical signals on
the receiving side of the information transmission system.</p>
    </sec>
    <sec id="sec-5">
      <title>4. Laser telecommunication and sensor CPS systems in the territories of nature protection objects</title>
      <p>Section 2 of this publication systematizes the functions and characteristics of protected areas as
sources of information. It is emphasized that an important impact on the flora and fauna of protected
areas in winter is the information characteristics of the height of snow cover.</p>
      <p>There is a method for measuring the height of snow cover, which is implemented in the form of a
metrological calibrated rail with height marking [8].</p>
      <p>The disadvantage of this method is the limited functionality, which is due to the fact that this
device does not allow to register the height of snow cover at the measuring point with GPS coordinate
identification and optical communication transmission of data over the sensor network.</p>
      <p>This method requires measurement operations on the route of monitoring by a human operator in
the winter weather conditions.</p>
      <p>The components of such a system are: 1 - subscriber station, 2 - sensors of snow cover height, 3
atmospheric optical communication lines.</p>
      <p>It is shown the structure (Fig. 11) of the sensor for measuring the height of the snow cover as a
network component of the sensor system [15].
The components of such a sensor are:
2.1 - module for collecting, processing and transmitting information;
2.2 - calibrated rail height of snow cover;
2.3 - optical meter of snow cover height;
2.4 - GPS tracker;
2.5 - optical transceiver;
2.6 - solar power panel of the sensor.</p>
      <p>In order to expand the functionality of this class of CPS systems, the authors proposed a
multisensor system for measuring the height of snow cover [15]. The architecture of this system is shown
in Fig. 12.
Extended functionality of such a multisensory system is achieved by additional adding into its
structure a quadcopter (2.7), which allows parallel processes of information collection by unmanned
aerial vehicles (UAVs), as well as remove GPS trackers from the microelectronic sensors (2.1).
Noninteractive optical communication of the quadcopter receiver is carried out by vertically directed
optical emitters (2.4).</p>
      <p>The development and practical implementation of multi-channel autonomous microcontrollers
(MC) is a further research of a stand-alone CPS component with wireless optical communication for
the territory of nature protection areas. These MCs are components of subscriber stations (ST) that are
designed to collect data from a multi-channel sensor network in the CPS architecture shown in Fig. 2.</p>
    </sec>
    <sec id="sec-6">
      <title>5. Methods and processor tools for sorting data of arrays</title>
      <p>Sorting is one of the typical problems of data processing and is usually understood as the task of
placing elements of an unordered set of values of data sets, in the order of monotonic increase or
decrease [20-22]. The operation is most often used in communication stations of CPS network
architectures, as well as in algorithms for digital signal and image processing when storing large data
sets by archiving and compressing them. Many methods of sequential and parallel sorting of binary
data are known [21-23].</p>
      <p>There are methods of data ordering, in which the sequence of operations depends only on the
number of input data and does not depend on the values of their keys. Among them, the most practical
applications were the corresponding structures of Butcher's algorithms, modified "bubble" algorithm,
"odd-even" permutation algorithm [23], merger algorithm, "perfect shuffling" algorithm and others.
Important parameters of the efficiency of these algorithms are the speed of formation of an ordered
data set and the number of operations performed.</p>
      <p>It is shown the proposed structure (Fig. 13) of the algorithm of the Kautz sorting network [23].</p>
      <p>Y6
Y7
Y
8
Z 8
Z 7
Z6
Z5
n
n
n
n
n
n
n</p>
      <p>Z12</p>
      <p>Z22</p>
      <p>Z42 3.2</p>
      <p>The proposed structure of the sorting network algorithm consists of the same type of operations
"compare and rearrange". For N input number of “compare-and-swap” instructions for this proposed
structure for comparing arrays of data will be equal to - 3((N/2)2- N/2))/2+N/2.</p>
      <p>The structure of the basic component of the ordering of Xi and Yi+1 data streams is shown in Fig.
14 [23].</p>
      <p>At hardware special processor realization of such basic component its efficiency is defined by two
structures:</p>
      <p>A structure [23] for comparing two binary codes based on the use of half-adders is proposed (Fig.
15).</p>
      <p>The number of adders is equal to the bit size of the compared codes.</p>
      <p>Y3
n
2
2
m</p>
      <p>X i</p>
      <p>Y2
n
2
n</p>
      <p>The advantage of the proposed structure is high regularity, maximum speed of bit formation of the
comparison signs and logarithmic increase in the number of logical elements "AND-NOT" whose
outputs are interconnected. The comparison operation is based on the operation of adding direct and
inverse data codes, the source of which is the overflow of the bit grid.</p>
      <p>Using incomplete single-bit adders [24] is proposed as components of this structure of comparison
of multi-bit binary codes (Fig. 16).</p>
      <p>The speed of the proposed comparison component is a delay of signals for 2 micro-clocks,
regardless of the bit size of the input codes.</p>
      <p>It is shown the proposed structure (Fig. 17) of a multi-bit multiplexer with paraphase outputs based
on logical elements "AND-NOT" [23].</p>
      <p>P
+
P+</p>
      <p>Y4</p>
      <p>X4</p>
      <p>Y3</p>
      <p>X3</p>
      <p>Y2</p>
      <p>X2</p>
      <p>Y1</p>
      <p>The speed of such a multiplexer is determined by the delay of signals at the inverse outputs - 1
micro-clock, and at direct outputs - 2 micro-clocks. This multiplex is characterized by advanced
functionality and circuitry consistent with the components of the comparison of numbers in which the
operation of adding direct and inverse codes.</p>
      <p>A further increase in speed and reduction of hardware complexity of this class of multiplexers is
the use of one logical element "AND-NOT" or "OR" in each category. It is shown the structure (Fig.
18) of a high-performance multi-bit multiplexer based on the logic element "Exclusive OR", which
implements the logic operation "XOR" [24]. This multiplexer does not have a control input inverter
that provides the operation of multiplexing two multi-bit binary codes with a delay of signals per
microcontroller.</p>
      <p>P
1
2
3
4</p>
      <p>Xn</p>
      <p>The block diagram of a multi-bit multiplexer contains: 1 - the first input information bus (Xn,
Xn-1,…, X1); 2 - the second input information bus (Yn, Yn-1,…, Y1); 3.1, 3.2 - logical elements OR and
AND-NOT bits of the multiplexer; 4- output information bus (Zn, Zn-1,…, Z1).</p>
      <p>The proposed components of the basic operation of comparing numbers and their multiplex
permutation, as well as the parallel Kautz algorithm allowed to increase the ordering speed by 1-2
orders of magnitude, with bit input n = 32-128 bits.</p>
    </sec>
    <sec id="sec-7">
      <title>6. Conclusion</title>
    </sec>
    <sec id="sec-8">
      <title>7. References</title>
      <p>The basic principles of building modern cyber-physical systems (CPS) are outlined and the priority
areas of CPS application are emphasized. Prospects for the use of open optical data transmission
channels with binary-manipulated signals are substantiated. Structures of special processors of
formation and digital processing of binary-manipulated optical signals are offered. New components
and high-performance structures have been developed to streamline priority information flows.
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[8]. Y. Nyckolaychuk, T. Grynchychyn, I. Pitukh, Y. Petrashchuk, L. Nyckolaychuk, V. Hryha
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Reserve Landscape. Advanced Computer Information Technologies. International Conference.</p>
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