简介:Apracticalmethodforvisualizingfloodareaandevaluatingdamageispresented,whichconsistsoftwotechnicalapproaches:self-programmingandadaptingcommercialGISplatforms.Thelow-costandeasy-to-useGIS-Basedmodeldevelopedbyself-programmingcanmeetcurrentrequirementsofmostlocalauthorities,especiallyindevelopingcountries.Inthismodel,twocases,non-sourcefloodandsourceflood,aredistinguishedandtheSeed-spreadalgorithmsuitableforsource-floodisdiscussed;Theflooddamageisassessedbyoverlayingthefloodarearangewiththematicmapsandotherrelatedsocialandeconomicdata.andallthematicmapsareconvertedtorasterformatbeforeoverlayanalysis.Twomeasuresaretakentoimprovetheoperationefficiencyofspeedseed-spreadalgorithm.TheaccuracyofthemodelmainlydependsontheresolutionandprecisionoftheDEMdata,andtheaccuracyofregisteringallrasterlayersandthequalityofattributedata.
简介:Apioneeringself-optimizingteachingmethodinstudent-centricseminarswasintroducedinthispaper,inwhicheachstudentwillestablishpreferredengineeringdrawingprocessdirectedbyeducatorsandnecessaryprinciples.Wepresentedtheworking-memorycenteredmechanisminmentalaspecttoexplainthephenomena.Thetheoreticalmechanismisbasedonthetypicaltranslationbetweenorthographicprojectionimageandperspectiveimage.Thefirstisbondingobjectintoawholesolid.Thesecondissplicingtheselectedsurfacesofobjectsandtailoredthemtogether.Twostudygroupsweredetermined:anexperimentalgroup,whoweredirectedtocombinetheobject-basedandsurface-basedconstructionmethodsinthepresentations,andacontrolgroup,wholearnedthroughregularpresentationsmadebyanexperiencedteacherduringthesameperiod.Theresultsshowedthatasignificantenhancementinaveragescoreshasbeenachievedinthetestamongtheexperimentalgroupincomparisonwiththecontrolgroup.Thevarianceofthescoresisobviouslyreducedthroughtheself-optimizinglearningstrategy,indicatingasignificantadvantageonfillinguptheabilitygapsamongstudents.Infact,theresultsalsoindicatedthattheeducatordidkeepthelessoninhighquality.Butitisworthyofmoreattentionthatthedifferenceofmentalmanipulationhabitsbetweensomestudentsandeducatormayleadtoapolarizationinscoredistribution.Sotheseminarisapromisingmethodtohelpthestudentstocombinetheobject-basedandsurface-basedconstructionmethods.
简介:Inthisstudy,particleimagevelocimetrywasappliedtoinvestigateflowfieldsofwormlikemicelle(WLM)fluidsinamixingtankequippedwithafour-blade,down-pumping,pitchedbladeturbine.First,therheologyofWLMfluidswasinvestigated,andtheCarreaumodelwasutilizedtodescribetheirapparentviscosity.Then,theeffectsoftherotationspeedsandrheologicalpropertiesontheflowfieldswerestudiedusingdifferentWLMfluidsatdifferentrotationspeeds.TheresultsrevealedthatwithincreasingReynoldsnumber,thedischargeangledecreasesandthecarvensizeincreases.Furthermore,elasticeffectsofWLMfluidsleadtoamorecurvedflowandasmallercarven.
简介:Theadventofthetimeofbigdataalongwithsocialnetworksmakesthevisualizationandanalysisofnetworksinformationbecomeincreasinglyimportantinmanyfields.Basedontheinformationfromsocialnetworks,theideaofinformationvisualizationanddevelopmentoftoolsarepresented.Popularsocialnetworkmicro-blog(‘Weibo’)ischosentorealizetheprocessofusers’interestandcommunicationsdataanalysis.Userinterestvisualizationmethodsarediscussedandchosenandprogramsaredevelopedtocollectusers’interestanddescribeitbygraph.Thevisualizationresultsmaybeusedtoprovidethecommercialrecommendationorsocialinvestigationapplicationfordecisionmakers.
简介:AvisualizationtoolwasdevelopedthroughawebbrowserbasedonJavaappletsembeddedintoHTMLpages,inordertoprovideaworldaccesstotheEASTexperimentaldata.Itcandisplaydatafromvarioustreesindifferentserversinasinglepanel.WithWebScope,itiseasiertomakeacomparisonbetweendifferentdatasourcesandperformasimplecalculationoverdifferentdatasources.
简介:Thepresentpaperderivedtemperaturedistributionsinpowerseriesinasteadylaminarwakebehindaslenderstreamilinedheatedbodyofrevolution.Thetemperaturedistributionofthewakebehindthebodyfromx/d=2to70werefullyexploredusingarecirculatingwaterchannel.ThethermalwakepatternsbehingthebodywerevisualizedwiththeaidofinfraredpicturesandH2bubbles.
简介:Inthepreprocessingphase,theglobalterrainmodelispartitionedintoblockswiththeirfeaturepointsbeingpickedouttogenerateTINmodelforeachterrainblock,thenthemulti-resolutionmodelsofterrainorganizedintheformofquad-treeiscreatedbottom-up.Cracksbetweenterrainblocksareavoidedbyinsertingverticestoformcommonboundaries.Atrun-time,aview-dependentLODalgorithmisusedtocontroltheloadingandunloadingoftheproperblocksbyanadditionalsynchronousthread.ToeliminatetheartifactscreatedbyLODtransitions,geomorphingisusedinreal-time.TheserenderingstrategiesincreasethethroughputofGPUandavoidimbalanceofloadamongCPU,GPUandDiskI/O.Experimentalresultsshowthatthesystemcanperformvisuallysmoothrenderingoflarge-scaleterrainsceneswithfinequalityatanaveragerateof80fps.
简介:Theproblemsoftheearth'sgravityfields'visualizationarebothfocusandpuzzlecurrently.Aimingatmultiresolutionrendering,modelingoftheEarth'sgravityfields'dataisdiscussedinthepaperbyusingLODalgorithmbasedonQuadTree.First,thispaperemployedthemethodofLODbasedonQuadTreetodivideuptheregionalgravityanomalydata,introducedthecombinednodeevaluationsystemthatwascomposedofviewpointrelatedandroughnessrelatedsystems,andtheneliminatedtheT-cracksthatappearedamongthegravityanomalydatagridswithdifferentresolutions.Thetestresultsdemonstratedthatthegravityanomalydatagrids'renderingeffectswereliving,andthecomputationalpowerwaslow.Therefore,theproposedalgorithmwasasuitablemethodformodelingthegravityanomalydataandhaspotentialapplicationsinvisualizationoftheearth'sgravityfields.
简介:Complexurbansceneryisgenerallycomposedofgiganticamountofdetailedbuildings,efficientrepresentationandrenderingareessentialforitsvisualization.Wepresentanacceleratingmethodforurbanvisualization.Ourapproachcanoptimizetheorganizationofmodelsinaccordancewiththequadtreebasedterrain,whichmakestheparallelizationeasier.Throughminimizingthedrawcallwithinonerenderingprocess,ourapproachcanreducethetimecostofeachframeandimprovetheframerategreatly.Hereby,oursystemcanhandlelarge-scaledetailedmodelswithhighdiversityandalsocanaffordtheabilitytoadjusttherenderingstrategyautomaticallyaccordingtothestateofthehardware.
简介:AbstractVisualization and access. Historically, these have been the two major factors that have limited advancement in the field of Otolaryngology. No other surgical specialty deals with anatomical challenges quite like those presented by the structures of the head and neck. Otolaryngology is a field of dark cavities, complex and miniscule structures, and awkward angles. The aim of this article is to briefly explore how Otolaryngologists have historically met these challenges, with a specific focus on technological advancements in illumination, visualization, and access. From mirrors reflecting candlelight to fiberoptic illuminated scopes, from bamboo nasal speculums to Transoral Robotic Surgery (TORS), tracing the historical arc of these technologies highlights the innovative spirit that has come to define the field of Otolaryngology.
简介:在这份报纸,我们为整个hyperspectral图象的稀少的表示设计了一个颜色可视化模型,在哪个,不是仅仅光谱在稀少的表示的信息而且整个图象的空间信息被保留。在稀少的表示后面,稀少的编码字典的有效元素的颜色标签根据稀少的系数被选择然后混合图象被显示。产生图象维持光谱距离保藏并且好可分性。为本地地面对象,建议单个象素的混合数组和改进面向的裂片质地方法是综合的显示每个象素的特定的作文。这也在混合象素颜色显示和罐头避免颜色演讲的混乱被用来重建原来的hyperspectral数据。最后,模型有效性用真实数据被证明。这个方法是有希望的并且能在许多地里发现使用,例如精力探索,环境监视,灾难警告等等。
简介:AIM:Toidentifywhethertheforcepsestimationismoreusefulthanvisualestimationinthemeasurementofcolonpolypsize.METHODS:Werecordedcolonoscopyvideoclipsthatincludedscenesvisualizingthepolypandscenesusingopenbiopsyforcepsinassociationwiththepolyp,whichwereusedforanexam.Atotalof40endoscopistsfromtheBusanUlsanGyeongnamIntestinalStudyGroupSociety(BIGS)participatedinthisstudy.Participantswatched40pairsofvideoclipsofthescenesforvisualestimationandforcepsestimation,andwrotedowntheestimatedpolypsizeontheexampaper.Whenanalyzingtheresultsoftheexam,weassessedinterobserverdifferences,diagnosticaccuracy,anderrorrangeinthemeasurementofthepolypsize.RESULTS:Theoverallintra-classcorrelationcoefficients(ICC)ofinter-observeragreementforforcepsestimationandvisualestimationwere0.804(95%CI:0.731-0.873,P<0.001)and0.743(95%CI:0.656-0.828,P<0.001),respectively.TheICCsofeachgroupforforcepsestimationwerehigherthanthoseforvisualestimation(Beginnergroup,0.761vs0.693;Expertgroup,0.887vs0.840,respectively).Theoveralldiagnosticaccuracyforvisualestimationwas0.639andforforcepsestimationwas0.754(P<0.001).Inthebeginnergroupandtheexpertgroup,thediagnosticaccuracyfortheforcepsestimationwassignificantlyhigherthanthatofthevisualestimation(Beginnergroup,0.734vs0.613,P<0.001;Expertgroup,0.784vs0.680,P<0.001,respectively).Theoverallerrorrangeforvisualestimationandforcepsestimationwere1.48±1.18and1.20±1.10,respectively(P<0.001).Theerrorrangesofeachgroupforforcepsestimationweresignificantlysmallerthanthoseforvisualestimation(Beginnergroup,1.38±1.08vs1.68±1.30,P<0.001;Expertgroup,1.12±1.11vs1.42±1.11,P<0.001,respectively).CONCLUSION:Applicationoftheopenbiopsyforcepsmethodwhenmeasuringcolonpolypsizecouldhelpreduceinter-observerdifferencesanderrorrates.
简介:Efficientdatavisualizationtechniquesarecriticalformanyscientificapplications.CentroidalVoronoitessellation(CVT)basedalgorithmsofferaconvenientvehicleforperformingimageanalysis,segmentationandcompressionwhileallowingtooptimizeretainedimagequalitywithrespecttoagivenmetric.InexperimentalsciencewithdatacountsfollowingPoissondistributions,severalCVT-baseddatatessellationalgorithmshavebeenrecentlydeveloped.Althoughtheysurpasstheirpredecessorsinrobustnessandqualityofreconstructeddata,timeconsumptionremainstobeanissueduetoheavyutilizationoftheslowlyconvergingLloyditeration.Thispaperdiscussesonepossibleapproachtoacceleratingdatavisualizationalgorithms.ItreliesonamultidimensionalgeneralizationoftheoptimizationbasedmultilevelalgorithmforthenumericalcomputationoftheCVTsintroducedin[1],wherearigorousproofofitsuniformconvergencehasbeenpresentedin1-dimensionalsetting.Themultidimensionalimplementationemploysbarycentriccoordinatebasedinterpolationandmaximalindependentsetcoarseningprocedures.Itisshownthatwhencoupledwithbinaccretionalgorithmaccountingforthediscretenatureofthedata,thealgorithmoutperformsLloyd-basedschemesandpreservesuniformconvergencewithrespecttotheproblemsize.Althoughnumericaldemonstrationsprovidedarelimitedtospectroscopydataanalysis,themethodhasacontext-independentsetupandcanpotentiallydeliversignificantspeeduptootherscientificandengineeringapplications.