Table Of Content

Studies in Computational Intelligence Volume 1068 SeriesEditor JanuszKacprzyk,PolishAcademyofSciences,Warsaw,Poland The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as themethodologiesbehindthem.Theseriescontainsmonographs,lecturenotesand editedvolumesincomputationalintelligencespanningtheareasofneuralnetworks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems,andhybridintelligentsystems.Ofparticularvaluetoboththecontributors and the readership are the short publication timeframe and the world-wide distribution,whichenablebothwideandrapiddisseminationofresearchoutput. IndexedbySCOPUS,DBLP,WTIFrankfurteG,zbMATH,SCImago. AllbookspublishedintheseriesaresubmittedforconsiderationinWebofScience. · Thi Dieu Linh Nguyen Joan Lu Editors Machine Learning and Mechanics Based Soft Computing Applications Editors ThiDieuLinhNguyen JoanLu HanoiUniversityofIndustry DepartmentofComputerScience Hanoi,Vietnam UniversityofHuddersfield Huddersfield,UK ISSN 1860-949X ISSN 1860-9503 (electronic) StudiesinComputationalIntelligence ISBN 978-981-19-6449-7 ISBN 978-981-19-6450-3 (eBook) https://doi.org/10.1007/978-981-19-6450-3 ©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 In recent years, as some of the key drivers Industry 4.0, the enabling technologies includingartificialintelligence,bigdata,cloudcomputing,InternetofThings,block chain,robotics,anddigitaltwinhavebeenwidelyattractingalotofattentionfrom researchersandpractitioners.Inaddition,thedevelopmentofsoftcomputingtech- niqueshasenabledresearcherstocreatemorefidelitydata-drivenmodelsandprovide innovativesolutionstoreal-worldproblems. Asweseetoday,thetechnologiesaremovingtowardsindustryandsocietyinthe interdisciplinarymodetosolvethesocietalproblem;withthisthought,thisproject iscarriedoutandwebelievethatwithcollectionofselectedworkbyvariousauthor, thisbookhelpsmanylevelpeoplefromacademiatoindustryatdifferentways. Thisbookprovidesthelatestresearchfindingsintheemergingtechnologieswith special focus on soft computing intelligent techniques and applications in various fieldsofengineering,particularlysmarteco-systemincludingsmartmanufacturing andsmartagriculture. Startingfromartificialintelligencetomechanics,roboticsandhowtechnologyis helpinginmanagementiscoveredveryselectively.Webelievethatthecollectionof theseresearchworkswillbeprovedhelpingtogiveasupportedgetomanyresearch problems. Thebookisacomprehensiveresourceandwillbebeneficialforstudents,engi- neers,researchers,andpractitionerswhowanttoexploreintelligentcomputingalgo- rithms as well as harness different smart and cutting-edge technologies in solving currentchallengingengineeringproblems. Thebooksharesthehighlightsaboutthe 6Gdiscussionaboutfuturisticapproach Artificialintelligenceandmanagement v vi Preface MachinelearningsandIndustry4.0 Mathematicsandcomputationaldrives’applications Mechanicsandroboticsapplications Softcomputingapplications Hanoi,Vietnam ThiDieuLinhNguyen Huddersfield,UK JoanLu Contents ThresholdTextClassificationwithKullback–LeiblerDivergence Approach ........................................................ 1 HiepXuanHuynh, CangAnhPhan, TuCamThiTran, HaiThanhNguyen,andDinhQuocTruong CellularAutomata-BasedSimulationModelforWaterQuality ManagementofPangasiusPonds .................................... 13 HiepXuanHuynh,DungTienTranNguyen,HuongHoangLuong, andHaiThanhNguyen HeuristicMethodsSolvingMarkowitzMean-VariancePortfolio OptimizationProblem ............................................. 29 TaAnhSon,BuiQuocBao,andLuuQuangLuc Context-Based and Collaboration-Based Product Recommendation Approaches for a Clothes Online Sale System ........................................................... 41 HaiThanhNguyen,ViHungNgo,andTranThanhDien ACost-EffectiveControlSystemoftheBiogas-BasedElectrical Generator ........................................................ 53 HoangAnh,DucTungTrinh,VuThanhNguyen,HungDungPham, andDucChinhHoang Parallel,DistributedModelCheckingofCompositeWebServices withIntegratedChoreographyandOrchestration .................... 65 D.SungeethaandB.S.SathishKumar AnApplication ofLogisticRegressionModelintheStudent’s AcademicPerformanceatHUST,Vietnam ........................... 77 TaAnhSonandNguyenTuanDat vii viii Contents Soft Robotics-Fingered Hand Based on Working Principle ofAsymmetricSoftActuator ....................................... 89 HiepXuanTrinh,PhungVanBinh,LeDucManh,NguyenVanManh, andNgoVanQuang ControlDesignfor400HzGroundPowerUnit ....................... 97 TranQueSon, NguyenKienTrung, DichNguyenQuang, DoNgocQuy,andDoBaPhu Rapid Design of Square-Spiral Metamaterial for Enhanced WirelessPower Transfer Applications UsingArtificialNeural Networks ......................................................... 109 BuiHuuNguyen,Quoc-DongHoang,andLuanN.T.Huynh GISandRSApplicationforLandUseStatusQuoMappingin2020 andLandUseChangeAssessinginThuDauMotCity ................ 117 DangTrungThanh, NguyenHuynhAnhTuyet, VoQuangMinh, andPhamThanhVu ParticleSwarmOptimizationforAccelerationTrackingControl ofanActuatorSystem ............................................. 133 Quoc-DongHoang,BuiHuuNguyen,andLuanN.T.Huynh CounttheNumberofSteelBarsBasedonDeepLearning ............. 141 Dinh-ThuanDang,Jing-WeinWang,VanNghiaLuong,VanLamHa, andVanTrinhTruong HybridSARIMA—GRUModelBasedonSTLforForecasting WaterLevelinRedRiverNorthVietnam ............................ 151 PhamDinhQuan, VuHoangAnh, NguyenQuangDat, andVijenderKumarSolanki Activity-BasedLearning:AnAnalysistoTeachLearnersUsing OnlineMethodologies .............................................. 163 DeepanjaliMishra,DilraboBakhronova,andUmidaDjalilova Use of a Fatigue Framework to Adopt a New Normalization StrategyforDeepLearning-BasedAugmentation ..................... 173 R.Regin, AhmedJ.Obaid, S.SumanRajest, andM.KalyanChakravarthi AnInnovativeandSmartAgriculturePlatformforImproving theCoffeeValueChainandSupplyChain ........................... 185 VanDuyNguyen,TriCongPham,ChiHieuLe,ThanhTrungHuynh, TanHungLe,andMichaelPackianather ComplexShearImagingBasedonSignalProcessingandMachine LearningAlgorithms .............................................. 199 Duc-TanTranandVijenderKumarSolanki Contents ix BreastCancerDetectionBasedonUWBDatasetandMachine Learning ......................................................... 215 HebaMehdiandFurkanRabee AReviewofMathematicalMethodsforFlexibleRobotDynamics ModelingandSimulation ........................................... 229 ChuA.My,DuongX.Bien,TrinhXuanHiep,NguyenCongDinh, VuMinhDuc, NguyenTheNguyen, ChiHieuLe, andEsmailAliAlandoli Digital Twins of Robotic Systems: Increasing Capability forIndustrialApplications ......................................... 241 TranTuanAnh, NguyenThanhTan, DinhThanLe, LeChiHieu, JamaluddinMahmud,M.J.A.Latif,andNguyenHoQuang OptimalMotionforHumanoidRoboticArmsUsingKinectCamera ... 259 SaifF.AbulhailandMohammedZ.Al-Faiz 6GWirelessCommunicationSystemsandItsApplications ............ 271 M.S.Swetha,M.S.Muneshwara,A.S.MuraliManoharaHegde, andZonghyuLu Compensation Techniques for Nonlinear Effects Using NG-RoF-DSP:AReview ........................................... 289 AhmedJasimObaid, HassanK.Al-Musawi, andMohammedAhmedAbdl-Nibe An IoT Solution Designed for Remote Automatic Control and Supervisor Systems to Key Environmental Factors andDiseasesinCoffeeFarmsinVietnam ............................ 305 ThangLongVuandVanDuyNguyen ArtificialIntelligenceasaStrategicPartnertoHRM4.0 .............. 319 ShivaniAgarwal, ThiDieuLinhNguyen, andGloriaJeanetteRincónAponte Threshold Text Classification with Kullback–Leibler Divergence Approach HiepXuanHuynh,CangAnhPhan,TuCamThiTran,HaiThanhNguyen, andDinhQuocTruong Abstract Textclassificationbasedonthresholdsbelongstothesupervisedlearning method which assigns text material to predefined classes or categories based on differentthresholdswithdivergenceapproach.Thesecategoriesareidentifiedbya setofdocumentstrainedbyanautomatedalgorithm.Thisworkpresentsanapproach oftextclassificationusinganautomatickeywordextractionalgorithmbasedonthe Kullback–Leiblerdivergenceapproach.Theproposedmethodisevaluatedon2000 documentsinVietnamese,coveringtentopics,collectedfromvariouse-journalsand newsportalWebsitesincludingvietnamnet.vn,vnexpress.net,andsoontogenerate acompletelynewsetofkeywords.Suchkeywords,then,areleveragedtocategorize the topic of new text documents. The obtained results verifying the practicality of ourapproacharefeasibleaswellasoutperformthestate-of-the-artmethod. · · Keywords Kullback–Leiblerdivergenceapproach Thresholdtextclassification Vietnamesetextdocuments 1 Introduction Text classification based on threshold with multiple keywords is a fundamental problemofnaturallanguageprocessingwheresuccessfulresearchprocesscansave timefortasksincludinginformationsummarizationandsearch[1,2].Theresearch resultsoftextclassificationapproacheshavealreadybeendeployinginmanyappli- cationswhichconsistoftheinformationretrieval,thetextfiltering,andtheautomatic newsaggregator.Textdocumentscanbeautomaticallylabeled(class/topic)basedon differentthresholdswithdivergenceapproach[3,4].Whichevermethodisdeployed, B H.X.Huynh( )·H.T.Nguyen·D.Q.Truong CollegeofInformationandCommunicationTechnology,CanThoUniversity,CanTho,Vietnam e-mail:[email protected] C.A.Phan·T.C.T.Tran VinhLongUniversityofTechnologyEducation,VinhLong,Vietnam ©TheAuthor(s),underexclusivelicensetoSpringerNatureSingaporePteLtd.2023 1 T.D.L.NguyenandJ.Lu(eds.),MachineLearningandMechanicsBasedSoft ComputingApplications,StudiesinComputationalIntelligence1068, https://doi.org/10.1007/978-981-19-6450-3_2