Advances in Mobile Computing and Multimedia Intelligence: 20th International Conference, MoMM 2022, Virtual Event, November 28–30, 2022, Proceedings PDF
Preview Advances in Mobile Computing and Multimedia Intelligence: 20th International Conference, MoMM 2022, Virtual Event, November 28–30, 2022, Proceedings
Pari Delir Haghighi Ismail Khalil Gabriele Kotsis (Eds.) Advances in 4 3 6 Mobile Computing and 3 1 S C Multimedia Intelligence N L 20th International Conference, MoMM 2022 Virtual Event, November 28–30, 2022 Proceedings Lecture Notes in Computer Science 13634 FoundingEditors GerhardGoos KarlsruheInstituteofTechnology,Karlsruhe,Germany JurisHartmanis CornellUniversity,Ithaca,NY,USA EditorialBoardMembers ElisaBertino PurdueUniversity,WestLafayette,IN,USA WenGao PekingUniversity,Beijing,China BernhardSteffen TUDortmundUniversity,Dortmund,Germany MotiYung ColumbiaUniversity,NewYork,NY,USA Moreinformationaboutthisseriesathttps://link.springer.com/bookseries/558 · · Pari Delir Haghighi Ismail Khalil Gabriele Kotsis (Eds.) Advances in Mobile Computing and Multimedia Intelligence 20th International Conference, MoMM 2022 Virtual Event, November 28–30, 2022 Proceedings Editors PariDelirHaghighi IsmailKhalil MonashUniversity JohannesKeplerUniversityLinz Melbourne,VIC,Australia Linz,Austria GabrieleKotsis JohannesKeplerUniversityLinz Linz,Austria ISSN 0302-9743 ISSN 1611-3349 (electronic) LectureNotesinComputerScience ISBN 978-3-031-20435-7 ISBN 978-3-031-20436-4 (eBook) https://doi.org/10.1007/978-3-031-20436-4 ©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicense toSpringerNatureSwitzerlandAG2022 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthors,andtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This volume includes the papers presented at the 20th International Conference on AdvancesinMobileComputingandMultimediaIntelligence(MoMM2022),whichwas organizedinconjunctionwith24thInternationalConferenceonInformationIntegration and Web Intelligence. Due to safety concerns as well as other restrictions preventing travelandgatherings,itwasdecidedtoorganizeMoMM2022asavirtualconference. MoMMisoneoftheleadinginternationalconferencesthatbringstogetherawide rangeofcutting-edgeresearchworksfromacrossthecontinents.Thesubmittedpapers areevaluatedbasedontheiroriginality,clarity,relevance,contribution,andimpact.This year,theacceptedpapersarepublishedbySpringerintheirLectureNotesinComputer Science(LNCS)series.LNCSvolumesareindexedintheConferenceProceedingsCita- tionIndex(CPCI),partofClarivateAnalytics’WebofScience;Scopus;EIEngineering Index;GoogleScholar;DBLP;etc. MoMM 2022 attracted 34 papers, from which the Program Committee selected eightregularpapersandeightshortpapers,yieldinganacceptancerateof23%inboth categories.Eachpaperwasreviewedbyatleastthreereviewersandinsomecasesupto four. The dominant research focus of submitted papers was artificial intelligence and machinelearning.Theacceptedpaperspresentadvancesandinnovationsinanarrayof areassuchasonlineteaching,activityandmovementdetection,greenhousegasemission, smartirrigation,networksecurity,andvideodelivery. This year, we had three distinguished keynote speakers, Antonio Liotta from the FreeUniversityofBozen-Bolzano,Italy,JanikaLeostefromTallinnUniversityofTech- nology,Estonia,andRobertWrembelfromPoznanUniversityofTechnology,Poland. WealsohadoursecondWorldABC(ArtificialIntelligenceandBigDataConvergence) Forum with world-renowned speakers, which was hosted by Won Kim from Gachon University,SouthKorea. WewouldliketoexpressoursinceregratitudetotheMoMM2022participants,dedi- catedauthors,ProgramCommitteemembers,thekeynotespeakers,sessionchairs,Orga- nizing and Steering Committee members, and student volunteers for their continuous andgeneroussupportandcommitmentthatmadethiseventasuccess. Wearelookingforwardtoseeingthisconferencegrowfurtherovertimeandexpect- ing more researchers, scientists, and scholars to join this global platform to share and discusstheirideas,findings,andexperiences. November2022 PariDelirHaghighi Organization ProgramCommitteeChair PariDelirHaghighi MonashUniversity,Australia SteeringCommittee GabrieleKotsis JohannesKeplerUniversityLinz,Austria IsmailKhalil JohannesKeplerUniversityLinz,Austria DirkDraheim TallinnUniversityofTechnology,Estonia SyopiansyahJayaPutra UniversitasIslamNegeri,Indonesia ProgramCommittee AminBeheshti MacquarieUniversity,Australia PaoloBellavista UniversityofBologna,Italy AgustinusBorgy-Waluyo MonashUniversity,Australia SvetlanaBoudko NorskRegnesentral(NorwegianComputing Center),Norway CarlosCalafate UniversitatPolitècnicadeValència,Spain Ping-TsaiChung LongIslandUniversity,USA LucaDavoli UniversityofParma,Italy AbdurForkan SwinburneUniversityofTechnology,Australia PanayotisFouliras UniversityofMacedonia,Greece YusukeGotoh OkayamaUniversity,Japan CharlesGouin-Vallerand UniversitédeSherbrooke,Canada SamiHabib KuwaitUniversity,Kuwait ClemensHolzmann UniversityofAppliedSciencesUpperAustria, Austria Tzung-PeiHong NationalUniversityofKaohsiung,Taiwan PremJayaraman SwinburneUniversityofTechnology,Australia Wen-YangLin NationalUniversityofKaohsiung,Taiwan AntonioLiotta FreeUniversityofBozen-Bolzano,Italy ReneMayrhofer JohannesKeplerUniversityofLinz,Austria TommiMikkonen UniversityofHelsinki,Finland AndrzeRomanowski TechnicalUniversityofLodz,Poland AndreasSchrader UniversityofLübeck,Germany WolfgangSchreiner JohannesKeplerUniversityofLinz,Austria viii Organization SougataSen BITS-Pilani,India TsutomuTerada KobeUniversity,Japan KlausTurowski Otto-von-Guericke-UniversityMagdeburg, Germany HongVa-Leong HongKongPolytechnicUniversity,HongKong You-ChiunWang NationalSunYat-senUniversity,Taiwan AliYavari SwinburneUniversityofTechnology,Australia FernandoZacarias-Flores UniversidadAutonomadePuebla,Mexico YuxinZhang MonashUniversity,Australia ExternalReviewers PrzemysławKucharski LodzUniversityofTechnology,Poland MatthiasPohl OttovonGuerickeUniversityMagdeburg, Germany AbhijithRemesh OttovonGuerickeUniversityMagdeburg, Germany MikołajP.Woz´niak UniversityofOldenburg,Germany Organizers Embedded Machine Learning for Data Quality Enhancement in Smart Systems (Abstracts of Keynote Talk) AntonioLiotta FacultyofComputerScience,FreeUniversityofBozen-Bolzano,Italy Abstract.TheInternetofThings,theideathatthephysicalworldaround uscanbedigitized,monitoredandcontrolled,isfascinatingasitcomplex. IoTisamixofsmartanddumb‘things’,adigitalecosystemthatkeeps growinginsizeandcomplexity,generatingavastvarietyofincomplete, unstructureddata.IoTisemergingasoneofthebiggestbig-dataproblems athandbutisunlikeanyotherdatascienceprojects.Itisacomplexspatio- temporalproblem,wherebydatasourcesareheterogeneous,unreliable, unreliablyconnected,andoftenhardtocorrelate.Sohowcanwemake sense of IoT data? How can we avoid turning it into an unpredictable mess? And which hurdles do we need to overcome when it comes to smartsystems? Inthistalk,IexplorethemissedpotentialofCloud-basedsmartsys- tems,wherebythesenseddataistransferredprettymuchun-processedto theCloud.IarguethattomakesignificantinsightsfromIoTdata,weneed toinitiateintelligentprocessesatthemicro-edge(atthesensornodes).By meansofrecentpilotstudies,Iillustratethevalueofshallowlearningand otherlightweightlearningmethods,whichmaybeemployedtoimprove dataqualityandaddresscommunicationandenergybottlenecksintypical smartsystems.Iadvocateanextensiveuseofembeddedmachinelearn- ingtoperformarangeofdataanalysistasksattheveryedgeoftheIoT, employingintelligentprocessesfortaskssuchasdatacleaning,missing- data management, compression, anomaly detection, and forself-tuning the data collection itself. All-in-all, this talk is about smart methods to enhancedataqualityinsmartsystems. Contents ApplicationsofClassification ClassificationandImpactofCall-to-ActionsinPush-Notifications ............ 3 SamWalsh,KieranFraser,andOwenConlan AnIntelligentML-BasedIDSFrameworkforDDoSDetectionintheSDN Environment .......................................................... 18 AmeniChetouane,KamelKaroui,andGhaythNemri EffectsonSeparatedLearningofAcquiringPhysicalMovementSkills ClassifiedbyLevelofDifficulty ......................................... 32 ShuheiTsuchida,TsutomuTerada,andMasahikoTsukamoto Now,Later,Never:AStudyofUrgencyinMobilePush-Notifications ......... 38 BeatrizEsteves, KieranFraser, ShridharKulkarni, OwenConlan, andVíctorRodríguez-Doncel ImageandVideoProcessing EfficientSubjectiveVideoQualityAssessmentBasedonActiveLearning andClustering ........................................................ 47 XiaochenLiu, WeiSong, WenboZhang, MarioDiMauro, andAntonioLiotta CurvableImageMarkers:TowardTrackableMarkersforEverySurface ....... 57 ZackaryP.T.Sin,PeterH.F.Ng,andHongVaLeong Design Exploration for Better Security of Recognition-Based Image AuthenticationinMobileEnvironment ................................... 71 TetsujiTakadaandDanielSchwarz A Scheduling Method for Division-Based Broadcasting on Dynamic VideoDelivery ........................................................ 78 KeitaKatsunoandYusukeGotoh MobileComputingandWirelessSensors SimulatingScenariostoEvaluateDataFilteringTechniquesforMobile Users ................................................................ 87 SergioIlarri,RaquelTrillo-Lado,ÁngelArraez,andAlejandroPiedrafita
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