Machine Learning and Intelligent Communications: 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings (Lecture ... and Telecommunications Engineering, 438) PDF
Preview Machine Learning and Intelligent Communications: 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings (Lecture ... and Telecommunications Engineering, 438)
Xiaolin Jiang (Ed.) 438 Machine Learning and Intelligent Communications 6th EAI International Conference, MLICOM 2021 Virtual Event, November 2021 Proceedings 123 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 438 EditorialBoardMembers OzgurAkan MiddleEastTechnicalUniversity,Ankara,Turkey PaoloBellavista UniversityofBologna,Bologna,Italy JiannongCao HongKongPolytechnicUniversity,HongKong,China GeoffreyCoulson LancasterUniversity,Lancaster,UK FalkoDressler UniversityofErlangen,Erlangen,Germany DomenicoFerrari UniversitàCattolicaPiacenza,Piacenza,Italy MarioGerla UCLA,LosAngeles,USA HisashiKobayashi PrincetonUniversity,Princeton,USA SergioPalazzo UniversityofCatania,Catania,Italy SartajSahni UniversityofFlorida,Gainesville,USA XueminShen UniversityofWaterloo,Waterloo,Canada MirceaStan UniversityofVirginia,Charlottesville,USA XiaohuaJia CityUniversityofHongKong,Kowloon,HongKong AlbertY.Zomaya UniversityofSydney,Sydney,Australia Moreinformationaboutthisseriesathttps://link.springer.com/bookseries/8197 Xiaolin Jiang (Ed.) Machine Learning and Intelligent Communications 6th EAI International Conference, MLICOM 2021 Virtual Event, November 2021 Proceedings Editor XiaolinJiang JinhuaAdvancedResearchInstitute Jinhua,China ISSN 1867-8211 ISSN 1867-822X (electronic) LectureNotesoftheInstituteforComputerSciences,SocialInformatics andTelecommunicationsEngineering ISBN 978-3-031-04408-3 ISBN 978-3-031-04409-0 (eBook) https://doi.org/10.1007/978-3-031-04409-0 ©ICSTInstituteforComputerSciences,SocialInformaticsandTelecommunicationsEngineering2022, correctedpublication2022 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,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare 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 We are delighted to introduce the proceedings of the sixth edition of the European Alliance for Innovation (EAI) International Conference on Machine Learning and Intelligent Communications (MLICOM 2021). This conference brought together researchers, developers, and practitioners around the world who are leveraging and developingmachinelearningandintelligentcommunications. The technical program of MLICOM 2021 consisted of 28 full papers in oral presentation sessions in the main conference tracks. The conference tracks were as follows:Track1-InternetofVehiclesCommunicationSystems;Track2-Applications of Neural Networks and Deep Learning; Track 3 - Intelligent Massive MIMO Communications; Track 4 - Intelligent Positioning and Navigation Systems; Track 5 - Intelligent Space and Terrestrial Integrated Networks; Track 6 - Machine Learning AlgorithmsandIntelligentNetworks;andTrack7-ImageInformationProcessing. Coordination with the steering chairs, Imrich Chlamtac, Xin Liu, and Xin-Lin Huang was essential for the success of the conference. We sincerely appreciate their constant support and guidance. It was also a great pleasure to work with such an excellent organizing committee team who worked hard in organizing and supporting the conference. We are grateful tothe Technical Program Committee, who completed thepeer-reviewprocessforthetechnicalpapersandhelpedtoputtogetherahigh-quality technicalprogram.Wearealsogratefultotheconferencemanagers,KarolinaMarcinova andRupaliTiwari,fortheirsupportandtoalltheauthorswhosubmittedtheirpapersto theMLICOM2021conferenceandworkshops. We strongly believe that the MLICOM conference provides a good forum for all researchers,developers,andpractitionerstodiscussallscienceandtechnologyaspects that are relevant to machine learning and intelligent communications. We also expect thatfutureMLICOMconferenceswillbeassuccessfulandstimulatingasthisyear’s,as indicatedbythecontributionspresentedinthisvolume. XiaolinJiang GuoTieliang ZhaoFujun RenMingyuan Organization SteeringCommittee ImrichChlamtac UniversityofTrento,Italy XinLiu DalianUniversityofTechnology,China Xin-LinHuang TongjiUniversity,China OrganizingCommittee GeneralChair XiaolinJiang JinhuaAdvancedResearchInstitute,China GeneralCo-chairs ZhangWenxiang WuzhouUniversity,China ZhaoJinxian HeilongjiangUniversityofScienceand Technology,China TechnicalProgramCommitteeChairs GuoTieliang WuzhouUniversity,China ZhaoFujun HeilongjiangUniversityofScienceand Technology,China RenMingyuan JinhuaAdvancedResearchInstitute,China SponsorshipandExhibitChairs LiZhijun WuzhouUniversity,China WangJin WuzhouUniversity,China LocalChairs HanTian JinhuaAdvancedResearchInstitute,China DongChangchun JinhuaAdvancedResearchInstitute,China QingjiangYang HeilongjiangUniversityofScienceand Technology,China viii Organization WorkshopsChairs MoZhiyi WuzhouUniversity,China GuoHui WuzhouUniversity,China LiZhijun WuzhouUniversity,China WangJin WuzhouUniversity,China ZhaoFujun HeilongjiangUniversityofScienceand Technology,China HanTian JinhuaAdvancedResearchInstitute,China YuGuanghua HeiheUniversity,China PublicityandSocialMediaChairs HanTian JinhuaAdvancedResearchInstitute,China DongChangchun JinhuaAdvancedResearchInstitute,China QingjiangYang HeilongjiangUniversityofScienceand Technology,China PublicationsChairs BaoPeng ShenzhenInstituteofInformationTechnology, China ChunyingFang HeilongjiangUniversityofScienceand Technology,China GongPing WuzhouUniversity,China WebChairs DongChangchun JinhuaAdvancedResearchInstitute,China LiuFugang HeilongjiangUniversityofScienceand Technology,China PostersandPhDTrackChairs MoZhiyi WuzhouUniversity,China GuoHui WuzhouUniversity,China YuGuanghua HeiheUniversity,China TechnicalProgramCommittee FugangLiu JinhuaAdvancedResearchInstitute,China ChangchunDong JinhuaAdvancedResearchInstitute,China HuanyuZhou WuzhouUniversity,China MingyuanRen JinhuaAdvancedResearchInstitute,China XiaolinJiang JinhuaAdvancedResearchInstitute,China TianHan JinhuaAdvancedResearchInstitute,China YangFeng JinhuaAdvancedResearchInstitute,China YixueYao JinhuaAdvancedResearchInstitute,China Contents DeepLearningNetworkforFrequencyOffsetCancellationinOFDM CommunicationSystem ................................................ 1 QingyangGuanandShuangWu ResearchontheRisingPhenomenonsintheBitErrorRatePerformances ofLT-BasedUEPCodes ................................................ 9 QingyangGuanandShuangWu EnsembleClassificationTechniqueforCulturalHeritageImage .............. 17 SathitPrasomphan PowerAllocationforSumRateMaximizationofUplinkMassiveMIMO SystemwithMaximumRatioCombining ................................. 28 FuyuanLiu,XiangbinYu,HuiWang,MingLuLi,andJiaweiBai ResearchonIndoorPassiveLocationBasedonLoRaFingerprint ............. 38 HengWang,YuzhenChen,QinghengZhang,ShifanZhang,HaiboYe, andXuan-SongLi ApplicationofDijkstraAlgorithminOptimalRouteSelectionUnder theBackgroundofTPACKEducationModel .............................. 48 FenglingWang,YanLi,QinglingChen,andGuoxianWang TheWaveFilterDesignofUFMCVehicleCommunicationSystem ........... 67 TengyueYu,JingjingWang,JiangangWen,FengLi,andJingyuHua ResearchonImageBinaryClassificationBasedonFastStyleTransfer DataEnhancement ..................................................... 79 ShuangZheng, JunfengWu, FugangLiu, JingyiPan, andZhuangQiao 3DCNNBackedConv-LSTMAutoEncoderforMicroFacialExpression VideoRecognition ..................................................... 90 Md.SajjatulIslam, YuanGao, ZhilongJi, JianchengLv, AdamAhmedQaidMohammed,andYongshengSang ResearchonChargeandDischargeControlStrategyofSupercapacitor ........ 106 WanjuanCongandGuanghuaYu x Contents IntelligentWheelchairBasedonMedicalHealthExamination ............... 117 FucongTan, YuWei, HongzhangZhou, HonglanLi, andJiachengZhong ResearchonForestFireImageRecognitionSysteminNortheastForest RegionBasedonMachineVision ........................................ 128 YanLi,GuagnhuaYu,andFenglingWang ResearchonFaceImageRestorationBasedonImprovedWGAN ............. 134 FugangLiu,RanChen,SongnanDuan,MingzhuHao,andYangGuo ResearchonTextCommunicationSecurityBasedonDeepLearningModel .... 147 GuanghuaYuandWanjuanCong EliminationofNetworkIntrusionUsingAdvanceDataMiningTechnology .... 155 DhulfiqarSaadJaafarandHoshangKolivand AutomaticDetectionandClassificationofAnti-islamicWebText-Contents .... 162 RawanAbdullahAlraddadi andMoulayIbrahimEl-KhalilGhembaza DeepLearningTechniqueforDesertPlantClassificationandRecognition ..... 182 NajlaAlsaedi,HananAlahmadi,andLiyakathunisaSyed SparseAlgorithmforOFDMUnderwaterAcousticChannelEstimation ....... 195 TieliangGuo,WenxiangZhang,ZhijunLi,andXueSun ImprovementofCLAlgorithminMIMO-OFDMSystem ................... 203 XiaolinJiang,Yu’eLi,andTianHan SD-BasedLow-ComplexitySignalDetectionAlgorithminMassiveMIMO .... 214 ZhangLihuanandJiangXiaolin ImprovedYOLOv4InfraredImagePedestrianDetectionAlgorithm .......... 226 JinTao,JiantingShi,YinanChen,andJiancaiWang ResearchonECGClassificationMethodBasedonConvolutionalNeural Network ............................................................. 234 JinTao,JiantingShi,andRongqiangWu ASurveyonMeta-learningBasedFew-ShotClassification .................. 243 WeizhiHuang,MingHe,andYongleWang ImageRetrievalAlgorithmBasedonFractalCoding ........................ 254 HuiGuo,JieHe,CaixuXu,andDonglingLi
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