Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022 PDF
Preview Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022
Lecture Notes in Networks and Systems 540 Vinit Kumar Gunjan Jacek M. Zurada Editors Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ICMISC 2022 Lecture Notes in Networks and Systems Volume 540 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 The series “Lecture Notes in Networks and Systems” publishes the latest developmentsinNetworksandSystems—quickly,informallyandwithhighquality. Originalresearchreportedinproceedingsandpost-proceedingsrepresentsthecore ofLNNS. VolumespublishedinLNNSembraceallaspectsandsubfieldsof,aswellasnew challengesin,NetworksandSystems. The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid disseminationofresearchoutput. Theseriescoversthetheory,applications,andperspectivesonthestateoftheart andfuturedevelopmentsrelevanttosystemsandnetworks,decisionmaking,control, complexprocessesandrelatedareas,asembeddedinthefieldsofinterdisciplinary andappliedsciences,engineering,computerscience,physics,economics,social,and lifesciences,aswellastheparadigmsandmethodologiesbehindthem. IndexedbySCOPUS,INSPEC,WTIFrankfurteG,zbMATH,SCImago. AllbookspublishedintheseriesaresubmittedforconsiderationinWebofScience. ForproposalsfromAsiapleasecontactAnindaBose([email protected]). · Vinit Kumar Gunjan Jacek M. Zurada Editors Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ICMISC 2022 Editors VinitKumarGunjan JacekM.Zurada DepartmentofComputerScience DepartmentofElectricalandComputer andEngineering Engineering CMRInstituteofTechnology UniversityofLouisville Hyderabad,India Louisville,KY,USA ISSN 2367-3370 ISSN 2367-3389 (electronic) LectureNotesinNetworksandSystems ISBN 978-981-19-6087-1 ISBN 978-981-19-6088-8 (eBook) https://doi.org/10.1007/978-981-19-6088-8 ©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicensetoSpringerNature SingaporePteLtd.2023 Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether thewholeorpartofthematerialisconcerned,specificallytherightsoftranslation,reprinting,reuse ofillustrations,recitation,broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,and transmissionorinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilar ordissimilarmethodologynowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthors,andtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressedorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Preface Therisingtechnologiesofartificialintelligence(AI)andmachinelearning(ML)are advancingbusinessesmorequicklythanever.Successinthiseraofdigitaltransfor- mationdependsonleveraginganalyticstouncovervastamountsofdatawithdetailed insights.Inthepast,theseinsightswereuncoveredmanuallythroughextensivedata analysis, but data complexity and data complexity both continue to rise.The most recenttechnologiesfordatascientistsareAIandML,whichallowthemtoquickly modifythedatatoverifyitsusefulness. The word “smart cities” first gained popularity in the 1990s as a means of describingtheapplicationoftechnologyandcreativityinurbanplanning.Sincethat time,urbanizationhasincreaseddramatically.Thepercentageofpeoplewholivein urbanregionsispredictedtorisetoaround70%by2050,fromabout55%in2020. Rapidurbanizationwillincreasethedemandforintelligentandsustainablesettings whilealsoputtingmorestrainonavailableresources.Thedemandsofcitizensfora greaterstandardoflivingwillrise. Anewphaseincomputinghistoryknownasthe“InternetofThings”isaboutto begin(IoT).Nomatterwhatyouwanttocallit—machinetomachine,machineto infrastructure,machinetoenvironment,InternetofEverything,InternetofIntelligent Things,andintelligentsystem—itisoccurring,andithasenormouspromise. SelectedpapersfromtheInternationalConferenceonRecentTrendsinMachine Learning,IoT,SmartCitiesandApplications,2022arecollectedinthisvolume.It comprises chosen papers arranged according to the approaches they take and the contributionstheymaketotheconference’stopic.Thechaptersinthisbookprovide anoverviewofthekeyconceptsandtheoriesunderlyingthetechnologiesandappli- cations discussed, with a focus on face recognition, evolutionary algorithms like genetic algorithms, automotive applications, and automation devices using artifi- cial neural networks, business management systems, the Internet of Things (IoT), machinelearning,datascience,andcontemporaryspeechprocessingsystems.Addi- tionally covered in this book are contemporary developments in sensor networks, VLSIsystems,andmedicaldiagnosticsystems.Whereappropriate,adiscussionof learningandsoftwaremodulesindeeplearningalgorithmsisadded.Inanutshell, v vi Preface the book will shed light on the IoT and ML-based smart city innovations that are nowbeingused. Hyderabad,India VinitKumarGunjan Louisville,USA JacekM.Zurada Contents PrognosticInvestigationintoMelancholicMaladiesinHinterlands ..... 1 SunilKaramchandani,KashishShah,MokshaShah,andRiyanshiShah SecurityThreatsinHealthcareSystems—ABibliometricStudy ........ 15 SaikatGochhaitandAmolaSrivastava ImpactofCOVID-19onImportandExportofPetroleumProducts andCrudeOilinIndia ............................................. 21 MugdhaKulkarni,JuhiTikyani,andKrishnaKumarSingh StressDetectionUsingEEGSignalinEarlyStageandControl Technique ........................................................ 33 PayalGhutke,SonaliJoshi,WaniPatil,andSwatiSorte AnalysisandRenderingofDeauthenticationAttackUsingIoT Technology ....................................................... 41 AbhayAggrawal,IshaArora,andAnimeshGiri Development of Contextual Crop Ontology for Effective InformationRetrieval .............................................. 53 K.EzhilarasiandG.MariaKalavathy DetectionofHelloFloodingAttacksonRPLinInternetofThings NetworksUsingDifferentMachineLearningAlgorithms .............. 67 PriyankKoul, ShevgoorAdithyaKamath, S.Akshatha, NikitaGanvkar,andAnimeshGiri LocationAidedSecureRoutingSysteminAd-HocNetworks .......... 77 P.SaiKishoreReddy, A.HariKishanReddy, K.VamshiKrishnaReddy,LekhaSuresh,andAnimeshGiri AReviewonBehaviouralBiometricGAITRecognition ............... 89 B.AmoghaandRohiniDeshpande vii viii Contents VitalRoleof2DCNNinBrainMalignancy .......................... 99 Y.Vijayalata, SusmithaValliGogula, VandanaYalla, M.AnanyaVarma,SalunkeSavitha,andSudarsiNamrataRavindra Early-OnsetIdentificationofStomachCancerUsingCNN ............ 109 SusmithaValliGogula,Y.Vijayalata,H.SatyaAkash,D.Thrinesh, M.Nagaraju,andMd.MubasheerUddin MultifoldSecuredBankApplicationAuthenticationServiceUsing RandomVisualCryptographyandMultimodalSteganography withBlockchainTechnology ........................................ 119 S.JahnaviandC.Nandini RoleofBlockchaininHealthCare:AComprehensiveStudy ........... 137 RashmiPathak,BadalSoni,andNareshBabuMuppalaneni A Novel Three Dense Layered Deep Fully Connected Neural NetworkforHyperspectralImageClassification ...................... 155 K.Kanchanadevi,M.ShyamalaDevi,J.ArunPandian,R.Aruna, SuhasPalukuri,andUdayKocherla ResearchTrendsinArtificialIntelligenceandNatureInspired Techniques ........................................................ 163 ShrutiAggarwal,AmitVerma,andJaspreetSingh Comparative Analysis of Software Defect Prediction Using DimensionalityReduction .......................................... 171 RuchikaMalhotra,SanyamSharma,andSanskarAggarwal AnApproachtoLearnStructuralSimilarityBetweenDecision TreesUsingHungarianAlgorithm .................................. 185 RuchikaAggarwalandNanhaySingh DesignandDevelopment ofIoT-BasedIntelligentCattleShed Management ...................................................... 201 SanjayMate,PrashantDahiwale,andVikasSomani Review Paper on Technologies to Curb Noise Pollution in No HonkingZones .................................................... 213 NupurKulkarni,ShubhamKadam,ApurvaJagtap,OmkarWalhekar, andRohiniPise NewsChannelDebateAnalysis:ADetailedInsight ................... 223 AnamikaChauhan,SonalBera,RitikGarg,andRishabhSinha DiseaseRecognizationofPlantUsingDifferentImageProcessing Algorithm ........................................................ 235 GulbaksheeDharmale, KaranKavatage, PranavKul, ParthGite, andSumitAhire Contents ix ADetailedSurveyonSentimentalAnalysisonSocialMedia ........... 245 GulbaksheeDharmale, ShreenidhiKarjagi, HarshalKotalwar, andShakyadeepKhobragade PerceivingCorrelationAmongSpatiotemporalGaitParameters andVerifyingItsRelationUsingMachineLearningClassification TechniquePilotStudyforIndianPopulation ......................... 253 NehaSathe,AnilHiwale,andArchanaRanade RadialBasisNeuralNetworkTrainedMinimumSnapTrajectory forQuadrotor ..................................................... 263 M.A.AbithaandAbdulSaleem REMICARE—MedicineIntakeTrackerandHealthcareAssistant ..... 273 GulbakshiDharmale, PratikshaShirsath, AbhishekShinde, VishwajeetSawant,andAditiChougule DetectionofFraudulentCreditCardTransactionsinRealTime UsingSparkMLandKafka ......................................... 285 V.Ashwin, VishalMenon, A.M.Devagopal, P.A.Nived, andJ.UdayanDivya Real-Time Face Detection and Face Recognition: Study ofApproaches ..................................................... 297 SiddharthaSinghBhadauriya,SachinKushwaha,andShwetaMeena ASICImplementationofAIEdgeNetworkonChip(NoC)at28 nm Technology Node and Its Various Timing Optimization TechniquesatEachStage .......................................... 309 RiyaSoni,ChandniPatel,andNileshRanpura 3DICIntegrationUsingBlockchain ................................. 317 R.RadeepKrishna,P.Sivakumar,C.G.Abraham,andK.M.Sreedivya FireDetectionThroughSurveillanceVideosUsingDeepLearning inReal-WorldApplications ......................................... 345 KasindulaSaiPadmakar, SamineniSathvikChowdary, PavuluriKumarJaswanth,GadirajuAravind,andJ.DivyaUdayan A Survey on Battery State of Charge and State of Health Estimation Using Machine Learning and Deep Learning Techniques ........................................................ 355 MandedduSudhakarReddyandM.Monisha RobustandScalableNetworkMonitoringSystemUsingApache Spark ............................................................ 369 RathinnNairMelath,SrikarRachabattuni,SaiSiddharthCilamkoti, D.GaneshaSrinivas,HarshavardhanaChadaram,andJ.DivyaUdayan
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