简介:LedbyfourgenerationsofleadershipfromlateProf.JIANGSichang(academician,ChineseAcademyofEngineering),Prof.YANGWeiyan(HonoraryPresident,DivisionofOtolaryngologyHeadandNeckSurgery,ChineseMedicalAssociation),Prof.HANDongyi(PresidentElected,DivisionofOtolaryngologyHeadandNeckSurgery,ChineseMedicalAssociation)tonowProf.YANGShiming(President,DivisionofOtolaryngologists,
简介:Lightweightdesignisoneofthedevelopmenttrendsoftheautomobileindustry.AneffectivewaytoachievelightweightautobodiesistouseAHSS(advancedhighstrengthsteel)forthesafetycomponentsofautomobiles.ThisstudyhastakendoorsillreinforcementsmadeofmartensiteAHSSastheobject,andperformedresearchontheAHSSrollformingtechnologiesandprototypedevelopmentoftypicalasymmetricopencomponents.Bymeansoffiniteelementanalysis(FEA)andsimulation,studieshavebeencarriedoutonthespringbackandedgewavedefectsduringAHSSrollforming,andanoptimizedprocessdesignhasbeenachieved.Thegenerationmechanismsofverticalbows,horizontalcambers,twists,pre-punchedholedistortionandcutendflarehavebeenanalyzed,andsolutionstothesedefectshavebeengiven.Inaddition,tesingoftherollformingprocessforAHSShasbeenconductedandtypicalsampleswithrequireddimensionalaccuracyhavebeenmanufactured.Thisstudyhasprovidedtechnicalsupportforthelarge-scaleapplicationofAHSS.
简介:Large-scaleMIMO(multiple-inputmultiple-output)systemswithnumerouslow-powerantennascanprovidebetterperformanceintermsofspectrumefficiency,powersavingandlinkreliabilitythanconventionalMIMO.Forlarge-scaleMIMO,thereareseveraltechnicalissuesthatneedtobepracticallyaddressed(e.g.,pilotpatterndesignandlow-powertransmissiondesign)andtheoreticallyaddressed(e.g.,capacitybound,channelestimation,andpowerallocationstrategies).Inthispaper,weanalyzethesumrateupperboundoflarge-scaleMIMO,investigateitskeytechnologiesincludingchannelestimation,downlinkprecoding,anduplinkdetection.Wealsopresentsomeperspectivesconcerningnewchannelmodelingapproaches,advanceduserschedulingalgorithms,etc.
简介:Opticalmotioncaptureisanincreasinglypopularanimationtechnique.Inthelastfewyears,plentyofmethodshavebeenproposedforkey-frameextractionofmotioncapturedata,anditisacommonmethodtoextractkey-frameusingquaternion.Here,onemaindifficultyisduetothefactthatpreviousalgorithmsoftenneedtomanuallysetvariousparameters.Inaddition,itisproblematictopredefinetheappropriatethresholdwithoutknowingthedatacontent.Inthispaper,wepresentanoveladaptivethreshold-basedextractionmethod.Key-framecanbefoundaccordingtoquaterniondistance.Weproposeasimpleandefficientalgorithmtoextractkey-framefromamotionsequencebasedonadaptivethreshold.Itisconvenientwithnoneedtopredefineparameterstomeetcertaincompressionratio.Experimentalresultsofmanymotioncaptureswithdifferenttraitsdemonstrategoodperformanceoftheproposedalgorithm.Ourexperimentsshowthatonecantypicallycutdowntheprocessofextractionfromseveralminutestoacoupleofseconds.