Progress in Advanced Information and Communication Technology and Systems. Advanced Approaches to Intelligent Data Processing and Smart Networking

602 Pages·2023·22.055 MB·English

by  Mykhailo Ilchenko, Leonid Uryvsky, Larysa Globa

Lecture Notes in Networks and Systems 548
Mykhailo Ilchenko
Leonid Uryvsky
Larysa Globa Editors
Progress in Advanced
Information and
Communication
Technology and
Systems
Advanced Approaches to Intelligent
Data Processing and Smart Networking
Lecture Notes in Networks and Systems
Volume 548
SeriesEditor
JanuszKacprzyk,SystemsResearchInstitute,PolishAcademyofSciences,
Warsaw,Poland
AdvisoryEditors
FernandoGomide,DepartmentofComputerEngineeringandAutomation—DCA,
SchoolofElectricalandComputerEngineering—FEEC,Universityof
Campinas—UNICAMP,SãoPaulo,Brazil
OkyayKaynak,DepartmentofElectricalandElectronicEngineering,
BogaziciUniversity,Istanbul,Turkey
DerongLiu,DepartmentofElectricalandComputerEngineering,Universityof
IllinoisatChicago,Chicago,USA
InstituteofAutomation,ChineseAcademyofSciences,Beijing,China
WitoldPedrycz,DepartmentofElectricalandComputerEngineering,Universityof
Alberta,Alberta,Canada
SystemsResearchInstitute,PolishAcademyofSciences,Warsaw,Poland
MariosM.Polycarpou,DepartmentofElectricalandComputerEngineering,
KIOSResearchCenterforIntelligentSystemsandNetworks,UniversityofCyprus,
Nicosia,Cyprus
ImreJ.Rudas,ÓbudaUniversity,Budapest,Hungary
JunWang,DepartmentofComputerScience,CityUniversityofHongKong,
Kowloon,HongKong
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· ·
Mykhailo Ilchenko Leonid Uryvsky
Larysa Globa
Editors
Progress in Advanced
Information
and Communication
Technology and Systems
Advanced Approaches to Intelligent Data
Processing and Smart Networking
Editors
MykhailoIlchenko LeonidUryvsky
NationalTechnicalUniversityofUkraine NationalTechnicalUniversityofUkraine
“IgorSikorskyKyivPolytechnicInstitute” “IgorSikorskyKyivPolytechnicInstitute”
Kyiv,Ukraine Kyiv,Ukraine
LarysaGloba
NationalTechnicalUniversityofUkraine
“IgorSikorskyKyivPolytechnicInstitute”
Kyiv,Ukraine
ISSN 2367-3370 ISSN 2367-3389 (electronic)
LectureNotesinNetworksandSystems
ISBN 978-3-031-16367-8 ISBN 978-3-031-16368-5 (eBook)
https://doi.org/10.1007/978-3-031-16368-5
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Preface
Thisvolumeisacollectionofthemostimportantresearchresultsinfieldsofinfor-
mation,telecommunicationandradioelectronicstechnologiesprovidedbydifferent
group of researchers from Ukraine in collaboration with scientists from different
countries. The authors of the chapters from this collection present in-depth and
extendedresearchresultsintheirscientificfields.
Thevolumeconsistsof threeparts.
Part I Modern Challenges in Information Technologies deals with various
aspects to the analysis and solution of practically important issues of information
systems in general, contains discussion about progression from big data to smart
data,developmentofcloud-basedarchitecture,practicalimplementationofInternet
ofThings(IoT),fundamentalsofinformation,andanalyticalactivities.
PartIIModernChallengesinTelecommunicationTechnologiescontainsorig-
inalworksdealingwithmanyaspectsofconstruction,usingresearchandforecasting
of technological and services characteristics of telecommunication systems. The
presentedstudiesofthispartcoverawiderangeoftelecommunicationtechnologies,
including wireless communication systems, multiservice transmission systems, as
well as in-depth aspects of the study of methods in problems of improvement by
trafficengineering.
PartIIIModernChallengesinRadioElectronicsTechnologiescontainsactual
papers,whichshowsomeeffectivetechnologicalsolutionsthatcanbeusedforthe
implementationofnovelradioelectronicssystems.
Fortheconvenienceofthereaders,webrieflysummarizecontentsofthechapters
accepted.
v
vi Preface
PartIModernChallengesinInformationTechnologies
ThefirstchapterpresentedbytheauthorsI.Shmelkin,D.MatusekandA.Schill
Towards Role-based Context-aware Monitoring Systems introduces the scien-
tificandtechnicalprinciplesofmonitoringinformationtechnologysystemsduring
operation.
It is one of the few methods available to help administrators keep track of the
monitoredsystem’sstate,predictandidentifyerrors,andassistinsystemrepairand
error avoidance. Monitoring solutions to date, however, still suffers from various
trade-offsascurrentimplementationsimposearchitecturalrestrictionsonmonitored
systems,whichleadtoreducedflexibilityindeploymentandoperation.Whileexcel-
lentmonitoringsystemsexistinsomeapplicationdomains,othersarenotsufficiently
supported. Furthermore, most monitoring software is specialized to function with
specificdataformats,protocols,anddataacquisitionmechanisms,furtherreducing
theirflexibility.Therole-basedapproachformodelingandimplementingsoftware
promises an intuitive way of increasing the flexibility of information technology
systems’ modeling and implementation. Paired with technology on control loops
fromthedomainofself-adaptivesystems,wecancreateareusableframeworkmade
fromstaticrole-playingbuildingblocksthatallowovercomingthoselimitations.In
thischapter,aconceptforaflexiblemonitoringsolutiononthisbasisispresentedand
discussed,whichprovidesfunctioninginmostapplicationdomainswhileminimizing
constraintsonthemonitoredsystem.Wecomparetheflexibilityofourconceptwith
acollectionof15monitoringsystemsbasedon11criteria.Weillustratetheconcept
bypresentinganddiscussingauniformrole-basedmodelanddescribeitsimplemen-
tationafterward.Finally,wepresentaqualitativeandquantitativeevaluationofthe
role-basedmonitoringapproachincomparisonwithtwostate-of-the-artmonitoring
frameworksinonetypicalusecaseformonitoringsystems.
ThechapterAdaptationConsistencyofDistributedRole-OrientedApplications
basedontheActorModelofComputationbyD.Matusek,T.Kluge,I.Shmelkin,T.
SpringerandA.Schillfocusesontheproblemofstructuraladaptationsofobjectsin
softwareengineering,whichcanbemodeledusingcontextsandroles.Whileexisting
programming languages support development of role-based software, approaches
fordistributedapplicationsarelacking.Inthispaper,wepresentamappingofroles
to the actor model of computation, which facilitates the concurrent execution of
independent objects and their communication via messing passing. A concept for
strong or eventual consistent adaptation of distributed role-based applications is
developed. The former approach always ensures a global consistent state of the
system. The latter increases the availability of the system in the case of network
congestions or failures of devices during the adaptation process by superseding a
rollback of all intermediate changes. We discuss the cases for applying different
consistency criteria and show the feasibility of our approach by presenting a case
studyofafileserverapplicationinaprototypicalprogramminglanguage.
The chapter presented by L. Globa, R. Novogrudska, B. Zadoienko and Yu
Junfeng Ontology-Driven Approach to Scientific and Educational Information
Preface vii
Representationintroducesanapproachtoontologicalmodeldevelopmentforrepre-
sentinginformationaccumulatedbyvariousscientificandeducationalorganizations.
Theprocessofsuchorganizationsfunctioningisassociatedwithaccumulationofa
large amount of information, which in turn is used in the process of assessing the
qualityoftheirfunctioning.Itisproposedtoprovidestructuringandsystematization
of such information on the basis of ontological approach, for its further analysis
and processing. The general ontology of scientific and educational organizations
information identifies several interrelated components, each of which provides a
descriptionoftheprocessesoccurringintheorganization,informationaccumulated
bytheorganizationintheprocessofitsfunctioning,aswellasinformationonquality
assessmentoforganization.Theelementsofallthecomponentsofgeneralontology
aredescribed.Theresultsofproposedontologydevelopmentusingtheontological
solutionsdevelopmentplatformTEDAOSaregiven.
ThechapterApproachtoUniformPlatformDevelopmentfortheEcologyDigital
Environment of Ukraine by L. Globa, S. Dovgyi, O. Kopiika and O. Kozlov
focusesontheproblemofinformationsystemdesignatthenationallevel,wherein
itisnecessarytoensurecollecting,storing,andprocessingofsignificantamountsof
heterogeneous data accumulated in the repositories of various organizations and
departments, circulating in various incompatible systems and not always avail-
able for transdisciplinary analysis. To ensure full access to the information, this
research proposes the approach to the Uniform Ecology Platform (UEP) devel-
opment. The platform will create a single point of access to all types of hetero-
geneous data of the ecology digital environment of Ukraine. The platform should
includebusinessprocessstructures,subsystemstructures,informationstructures,and
integration structures. The paper proposes five basic principles of the UEP devel-
opment, namely uniform information model; common shared telecommunications
infrastructure;clearlydefinedinterfaces;independencebetweenbusinessprocesses
and applied subsystems; using of a distributed system with soft links between its
components. To implement these principles, the authors suggest a mathematical
descriptionoftheUEPelements,toolsthatsupporttheprinciplesofitsdevelopment
and optimization method of successive processes between subsystems of different
decomposition-based information communication systems (ICS). As an example,
thepaperdescribesglobalbusinessprocessformationforthedifferentICSandtheir
subsystems.Thesuggestedcomponentsthatarefunctioningtogetherguaranteefull
remoteaccesstoenvironmentaldatastoredindifferentphysicallydistributedsystems
InthechapterCloud-basedTechnologiesforDataProcessinginUkraine:Inter-
nationalContext byA.Shelestov,B.Yailymov,H.Yailymova,S.NosokandO.
Piven, the authors discuss about big data problem in Earth observation domain.
Fortunately,cloudsolutionssuchasAmazonWebServices,GoogleEarthEngine,
andothersplatformsprovideanaccesstoSentinel-1,Sentinel-2,andLandsatdata
with spatial resolution from 10 to 30 m, opportunities for quick and convenient
wayofgeospatialdataprocessingandusageforalotofdifferentinformationprod-
uctsretrievallikelandcoverclassificationmaps,cropstatemonitoring,etc.During
lastfewyears,wehadexperienceofcloud-basedtechnologiesusagewithinscien-
tificandinnovationprojects,whicharesupportedbyEuropeanCommission,World
viii Preface
Bank,UnitedNationsDevelopmentProgram,GEOCommitteeandhaveexperience
of open-source software development and machine (deep) learning usage in cloud
environment,namelyOpenDataCube.Thispackageprovidestheopportunitiesfor
datacollection,deployment,andprovisiononthebaseof3Dmodelofdatarepre-
sentation.Thedevelopedtechnologiesareimplementedondiversecloudplatforms
andsolvevarioustypesofappliedproblems,inparticularmonitoringofagricultural
lands,assessmentofsustainabledevelopmentindicatorsatthenationallevel.Allof
thesequestionswillbedescribedinourchapterinmoredetail.
In the chapter The Comprehensive Approach to Big Data Preprocessing by
L. Globa, R. Novogrudska and M. Grebinichenko, the authors investigated the
featurestooptimizingtheprocessofbigdatapreprocessing.Theexistingshortcom-
ingsofinputdatasetsthatleadtodecreasingoftheirqualityinBigDataprocessing
systems have been identified. The main methods of preprocessing of data sets are
considered. The ways to Big Data clearing are described. They allow to correct
distorteddata.TheexistingapproachestodevelopmentthearchitectureofBigData
processingsystemsareanalyzed.Themicroservicearchitectureisproposedfortheir
flexibleprocessing.Thepossibilitiesofbigdatapreprocessinghavebeenexpanded
due to the improved method of data clearing based on the text data processing
templates. The proposed advanced flexible complex of algorithms for big mata
preprocessing with a high level of fault-tolerance allows increasing the accuracy
of data further processing. Software realization (web applications) of proposed
algorithms complex for data cleansing methods with proposed improvements and
microservicearchitecturewasdeveloped.Theefficiencyoftheproposedarchitecture
forthebigdatapreprocessingsystembasedonmicroservicesisshownonpractice.
In Mathematical Models and Informational Technologies of Crop Yield Fore-
castinginCloudEnvironment byL.Shumilo,S.Drozd,N.Kussul,A.Shelestov
andS.Sylantyev,theauthorspresentedcurrentresultsinareaofremotesensingdata
togetherwithbiophysicalmodels.Theagriculturalsectorplaysaveryimportantrole
inthecountry’seconomy.Often,cropfailuresarethecauseofprotractedfinancial
crises,whichareverydifficulttoovercome.Fortunately,modernscientificmethods
allowustopredicttheyieldofcertaincropsinselectedfieldsbasedondataonsoil
properties.Thestudyrequireshigh-resolutiondata,thedownloadandprocessingof
whichrequirestheinvolvementofpowerfulcloudinfrastructures,graphicsproces-
sorsandothertechnologicalsolutions.Involvementofthesetechnologiesandreli-
ableforecastingofyieldhelptomaketherightdecisionaboutsowingandavoidcrop
failure. However, collecting data on soil properties directly from agronomists and
localfarmersisaverylongandhardprocess.Inaddition,thedatacollectedmaybe
inaccurate and expensive. As a result, a process will be launched that will eventu-
allyleadtoanagrarianandfinancialcrisis.However,asolutiontothisproblemhas
alreadybeenfound.Remotesensingdatatogetherwithbiophysicalmodelshaslong
beenusedintheworld.
ThechapterCompulsorinessandEnergyEfficiencyintheDecentralizedWorld
ofSmartThingsbyA.Luntovskyy,T.ZobjackandM.Klymashfocusesonthe
energy-efficient, self-sufficient and intelligent networked nodes, and IoT devices.
Thesearethewiderangeofinternet-enabledhouseholdandentertainmentdevices
Preface ix
that can be centrally controlled and managed. Such devices are through medical
devicesthatmonitorthepersonalpeopleconditiontodevicesthatrealizemonitoring
of machine parks and production streets in Industry 4.0 as well as supply chain
managementissues.BlockchainIoTcontributestothecompulsoriness,commitment
inthedecentralizedworldofsmartthings.SecuredIoTdevicescanonlybeachieved
withthecombinationofknowncrypto-technologies.Thoughtalittlefurther,thestep-
by-stepprovisionofdifferentblockchain-basedplatformsandsolutionscanhelpto
reachthedesiredprotectiongoals.
In StandardModelofSystemArchitectureofEnterpriseITInfrastructureby
S. Dovgyi and O. Kopiika, the authors present a modern IT infrastructure model
foranenterprisewithowndatacentersandgeographicallydispersedorganizational
structure.Themodelincludesasetofarchitectures,namelysecurity,management,
datastorage,applications,andnetwork.Architecturesdefinethefundamentalprin-
ciples for building IT services and their relationships. Additionally, each archi-
tecture is used as the basis for setting up the requirements for the creation of IT
services. The suggested principle for developing a typical system IT infrastruc-
ture is as follows: architectures define a set of services; IT services are provided
tothreegroupsofcustomers;ITservicesandcustomersareinterrelatedwithinfive
implementation scenarios; five architectures define the integration of IT services.
ThepaperproposestousetheinformationtechnologiesasITServices,whichaim
at maintaining the following elements in a technically sound condition: network
devices, computing equipment, data storage devices, automatic software deploy-
mentservice,networkservice,perimetersecurityservice,directoryservice,fileand
printservice,datamanagementservice,businessapplicationservice,ITmanagement
service, backup and recovery service, certificate management service, integration
service.Allcustomersoftheenterprisearedividedintothreemaincategories.Where
appropriate,thecustomersmaybefurthergroupedwithineachcategoryasfollows:
employees,partnersandpartnerorganizations,externalcustomers.Scenariosforthe
implementationofvirtualoffices,targetgroups,cabinetscanbeimplementedwithin
theframeworkofsuchinfrastructures:owndatacenters,virtualdepartment,remote
office,extranet,clouddatacenter.Amethodofoptimizingtheprocessofproviding
for certain categories of clients with Data Center services is proposed for mathe-
maticalmodelingofthecorporation’sITinfrastructure,whichbringsthesolutionto
theincidencematrixforcertaingraph.AsanexampleofdesigningelementsofIT
infrastructure, the design of optimal network architecture is considered. Examples
of implementation of the proposed methodology for building IT infrastructure for
servicecentersofPJSC“Ukrtelecom”aregiven.
I.Matveev,K.Karpov,M.Iushchenko,D.Dugaev,I.Luzianin,E.Siemens
and I. Chmielewski (Comparative Analysis of Object Detection Methods in
Computer Vision for Low-performance Computers Towards Smart Lighting
Systems) focus on the object detection problem based on machine learning tech-
niques,whichisdirectedonimprovingboththeaccuracyandthedetectionspeedof
agivenalgorithm.Mostofsuchapproachesassumesubstantialamountofcompu-
tationalresourcesavailabletothealgorithmtomakeitfairlyefficient.Therefore,a
vastmajorityofthemarehardlyfeasibleonlow-poweredandless-capableembedded