简介:Renderingoflarge-scaleforestscenesisachallengingtask,whosehighlygeometriccomplexitywillputheavyburdenoncurrentgraphicshardware.Whennavigatingthescene,theoverallvisualresultisgenerallyconsideredasthecoreconcern.Anewmethodisproposedinthispaperforlarge-scaleforestrenderingusingclusteringandmergingstrategies.Ourmethodimprovestherenderingeffectbyclusteringpolygonsaccordingtothepointinformationwithrelationtoneighbours.Afastforestrenderingsystemisdevelopedaccordingly.Therelativetechniquesinthesystemcanimprovethevisualqualityondemandofdifferentapplications.
简介:Thenoisedatainverticalcomponentrecordsof85seismicstationsinFujianProvinceduring2012isusedastheresearchobjectinthispaper.Thenoisedataisdividedintofiveminutesegmentstocalculatethepowerspectra.Thehighreferencelineandlowreferencelineofstationarethenidentifiedbydrawingaprobabilitydensityfunctiongraph(PDF)usingthepowerspectralprobabilitydensityfunction.Moreover,accordingtotheanomaliesofPDFgraphsin85seismicstations,theabnormalnoiseisdividedintofourcategories:droppedpacket,lownoise,highnoise,andmediannoiseanomalies.Afterwards,fourselectionmethodsarefoundbythehighorlownoisereferencelineofthestations,andthesystemofreal-timemonitoringofseismicnoiseisformedbycombiningthefourselectionmethods.Noiserecordsof85seismicstationsinFujianProvinceinJuly2013areselectedforverification,andtheresultsshowthattheanomalousnoise-recognitionsystemcouldreacha90%successrateatmoststationsandtheeffectofselectionareverygood.Therefore,itcouldbeappliedtotheseismicnoisereal-timemonitoringinstations.
简介:ThetraditionalorientedFASTandrotatedBRIEF(ORB)algorithmhasproblemsofinstabilityandrepetitionofkeypointsanditdoesnotpossessscaleinvariance.Inordertodealwiththesedrawbacks,amodifiedORB(MORB)algorithmisproposed.Inordertoimprovetheprecisionofmatchingandtracking,thispaperputsforwardanMOKalgorithmthatfusesMORBandKanade-Lucas-Tomasi(KLT).ByusingKalman,theobject’sstateinthenextframeispredictedinordertoreducethesizeofsearchwindowandimprovethereal-timeperformanceofobjecttracking.TheexperimentalresultsshowthattheMOKalgorithmcanaccuratelytrackobjectswithdeformationorwithbackgroundclutters,exhibitinghigherrobustnessandaccuracyondiversedatasets.Also,theMOKalgorithmhasagoodreal-timeperformancewiththeaverageframeratereaching90.8fps.
简介:Parameterestimationofsignalsofuniversalsoftwareradioperipheral(USRP)devicesiscrucialtosolvetheproblemofphaseoffsetsofreceivedsignalsindistributedbeamforming.Forsystemsthatwillutilizetheclosedloopfeedbackalgorithmwherethereceiverneedstosendthereceivedsignalstrength(RSS)valuesperiodicallytothebeamformingnodesoastotakeadvantageofenergyconservation,thefrequencyandphaseofthesesignalsshouldbeestimatedbeforesmootheningbynonlinearfilters.ThisarticlepresentstheestimationofthefrequencyoffsetsofaGaussianminimumshiftkeying(GMSK)signalfromN210USRPdevicesinrealtimebyusingtheRadix-2fastFouriertransform(FFT)algorithminGNURadio.Forthesegreencommunicationsdevices,mostoftheneededhardwarepartshavebeensoftwaredefined,therebyreducingthesupposedenergyconsumption.Thefrequencyoffsetsfromreferencecarrierfrequenciesof900MHzand2.4GHzarelessthan3kHzeachbeforetheestimation,buttheaverageoffsetsare45Hzand100Hzaftertheestimation,respectively.Thehighoffsetvalueexperiencedwiththe2.4GHzcarrierwasduetoconsistentinterferencefromdevicesonthatsamefrequency.
简介:即时监视和3D可视化分析系统为水坝基础窗帘grouting被建议。基于即时控制技术,优化方法和集合理论,系统的一个数学模型被建立。grouting数据的即时收集和传播技术为系统提供一个数据基础。监视的即时grouting和动态惊动方法帮助系统在grouting期间控制grouting质量这样,处理grouting的畸形,例如jacking并且水力高举,能有效地被控制。另外,3Dgrouting可视化分析技术被建议建立grouting信息模型(GIM)。GIM提供一个平台设想并且分析grouting过程和结果。系统作为案例研究被用于中国的一个水力的工程,并且应用程序结果显示监视的即时grouting和为grouting进程的3D可视化分析能帮助工程师更高效地控制grouting质量。
简介:Andynamicsystemforreal-timeobstacleavoidancepathplanningofredundantrobotsisconstructedinthispaper.Firstly,theinter-framedifferencemethodisusedtoidentifythemovingtargetandtocalculatethetargetarea,thenonthebasisofcolorfeaturesandgradientfeaturesextractedfromthetargetarea,thefeaturefusionCam-Shiftmeanshiftalgorithmisusedtotracktarget,improvingtherobustnessofthetrackingalgorithm.Secondly,aparalleltwo-channeltargetidentificationandlocationmethodbasedonbinocularvisionisproposed,updatingthetarget’sthree-dimensionalinformationinrealtime.Then,adynamiccollision-freepathplanningmethodisimplemented:thesafetyrodsareremovedthroughtheintersectiontest,andtheminimumdistanceisderiveddirectlybyusingthecoordinatevaluesofthetargetinthelocalcoordinatesystemoftherod.Onthisbasis,theobstacleavoidancegainandescapevelocityrelatedtotheminimumdistanceisestablished,andobstacleavoidancepathplanningisimplementedbyusingthezerospacemappingmatrixofredundantrobot.Experimentsareperformedtostudytheefficiencyoftheproposedsystem.
简介:Graphicprocessingunits(GPUs)havebeenwidelyrecognizedascost-efficientco-processorswithacceptablesize,weight,andpowerconsumption.However,adoptingGPUsinreal-timesystemsisstillchallenging,duetothelackinframeworkforreal-timeanalysis.Inordertoguaranteereal-timerequirementswhilemaintainingsystemutilizationinmodernheterogeneoussystems,suchasmulticoremulti-GPUsystems,anovelsuspension-basedk-exclusionreal-timelockingprotocolandtheassociatedsuspension-awareschedulabilityanalysisareproposed.TheproposedprotocolprovidesasynchronizationframeworkthatenablesmultipleGPUstobeefficientlyintegratedinmulticorereal-timesystems.Comparativeevaluationsshowthattheproposedmethodsimproveupontheexistingworkintermsofschedulability.
简介:Thesecond-generationGlobalOceanDataAssimilationSystemoftheBeijingClimateCenter(BCC_GODAS2.0)hasbeenrundailyinapre-operationalmode.Itspanstheperiod1990tothepresentday.ThegoalofthispaperistointroducethemaincomponentsandtoevaluateBCC_GODAS2.0fortheusercommunity.BCC_GODAS2.0consistsofanobservationaldatapreprocess,oceandataqualitycontrolsystem,athree-dimensionalvariational(3DVAR)dataassimilation,andglobaloceancirculationmodel[ModularOceanModel4(MOM4)].MOM4isdrivenbysix-hourlyfluxesfromtheNationalCentersforEnvironmentalPrediction.Satellitealtimetrydata,SST,andin-situtemperatureandsalinitydataareassimilatedinrealtime.ThemonthlyresultsfromtheBCC_GODAS2.0reanalysisarecomparedandassessedwithobservationsfor1990-2011.TheclimatologyofthemixedlayerdepthofBCC-GODAS2.0isgenerallyinagreementwiththatofWorldOceanAtlas2001.ThemodeledsealevelvariationsinthetropicalPacificareconsistentwithobservationsfromsatellitealtimetryoninterannualtodecadaltimescales.PerformancesinpredictingvariationsintheSSTusingBCC_GODAS2.0areevaluated.ThestandarddeviationoftheSSTinBCC-GODAS2.0agreeswellwithobservationsinthetropicalPacific.BCC-GODAS2.0isabletocapturethemainfeaturesofE1NinoModokiIandModokiⅡ,whichhavedifferentimpactsonrainfallinsouthernChina.Inaddition,therelationshipsbetweentheIndianOceanandthetwotypesofE1NinoModokiarealsoreproduced.
简介:ArealLiouvilledomainisaLiouvilledomainwithanexactanti-symplecticinvolution.TheauthorscallarealLiouvilledomainuniruledifthereexistsaninvariantfiniteenergyplanethrougheveryrealpoint.Asymptotically,aninvariantfiniteenergyplaneconvergestoasymmetricperiodicorbit.Inthisnote,theyworkoutacriterionwhichguaranteesunirulednessforrealLiouvilledomains.
简介:Inthispaper,weproposeasusceptible-infected-susceptible(SIS)modeloncomplexnetworks,small-world(WS)networksandscale-free(SF)networks,tostudytheepidemicspreadingbehaviorwithtimedelaywhichisaddedintotheinfectedphase.Consideringtheuniformdelay,thebasicreproductionnumberR_0onWSnetworksandR_0onSFnetworksareobtainedrespectively.OnWSnetworks,ifR_0≤1,thereisadisease-freeequilibriumanditislocallyasymptoticallystable;ifR_0>1,thereisanepidemicequilibriumanditislocallyasymptoticallystable.OnSFnetworks,ifR_0≤1,thereisadisease-freeequilibrium;ifR_0>1,thereisanepidemicequilibrium.Finally,wecarryoutsimulationstoverifytheconclusionsandanalyzetheeffectofthetimedelayr,theeffectiverateλ,averageconnectivityandtheminimumconnectivitymontheepidemicspreading.