简介:分叉的河隧道和象长期的捱过和侵蚀的结果的山谷,山脉,山,和斜坡的共存形成唯一的黄土地形学。Changqing地球物理的公司,处于这些复杂条件工作,为高保真处理和地震数据的好解释建立了技术的一间套房。这篇文章介绍涉及处理的数据和解释的进程并且说明结果。关键词黄土高原-地震数据处理-静电干扰-箱优化-噪音变细-在教授水平的高级工程师数据解释第一作者江家玉从北京石油研究所在地球物理的探索毕业了,一所美国学院1970。她从事了关于地震数据的全面解释的研究。现在她在Dongfang地球物理的同伴的研究院的Changqing分割工作。26篇文章被出版。她授于我国家科学与技术的班奖金,和科学与技术的进步奖金由部和局进行四十次。
简介:AtFermilab'sCDFfarmamodularandhighlyscalablesoftwareandcontrolsystemforprocessing,reprocessing,MonteCarlogenerationandmanyothertaskshasbeencreated.ThesystemiscalledFPS(FarmProcessingSystem).Thissystemconsistsofindependentsoftwarecomponentsandallowsmodificationstosuitothertypesofprocessingaswell.FPSisaccompaniedwithfullyfeaturedmonitoringandcontrolinterfaces,includingwebstatisticsdisplaysandamultiplatformJavacontrolinterfacethatalloweasymanagementandcontrol.Thesystemalsofeaturesautomaticerrorrecoveryprocedureswithearlywarningsthatallowsmoothrunning.Ageneraloverviewofthesoftwaredesingalongwithadescriptionofthefeaturesandlimitationsofthesystemanditscomponentswillbepresented.Run2experiencewiththesystemwillbegiveraswell.
简介:Thispaperpresentsanewsplinecalledarcspline.Ittakestwoarcsconnectingadjacentpointsamongasampledseries,withknowntangentalofeachsampledpoint.Thecalculationfortheparallel.thecurvelengthandthesegment-ingpointcoordinatesaresimple,thusmakingmapsymbolgenerationsimplified.When'arclet'occurs,somespecialprocessingmustbetaken.
简介:TheGAuDIarchitectureandframeworkaredesignedtoprovideacomoninfrastructureandenvironmentforsimulation,filtering,reconstructionandanalysisapplications.InitiallydevelopedfortheLHCbexperiment,GAUDIhasbeenadoptedandextendedbytheATLASexperimentandadoptedbyseveralotherexperimentsincludingGLASTandHARP.wedescribethepropertiesandconceptsembodiedbyGAUDIandrecentfunctionalityadditionsandhowtheprojecthasevolvedfromaproductdevelopedbyatightly-knitteaminasinglesite,toacollaborationbetweenmultipleteamsatgeographicallydispersedsites,basedlooselyonopensourceconcepts.Wedescribethemanagementinfrastructureaswellashowweaccommodateexperment-specificextensionsandadaptationsaswellasanexperiment-neutralkernel.
简介:Spatialapplicationswillgainhighcomplexityasthevolumeofspatialdataincreasesrapidly.Asuitabledataprocessingandcomputinginfrastructureforspatialapplicationsneedstobeestablished.Overthepastdecade,gridhasbecomeapowerfulcomputingenvironmentfordataintensiveandcomputingintensiveapplications.Integratinggridcomputingwithspatialdataprocessingtechnology,theauthorsdesignedaspatialdataprocessinggrid(calledSDPG)toaddresstherelatedproblems.RequirementsofspatialapplicationsareexaminedandthearchitectureofSDPGisdescribedinthispaper.KeytechnologiesforimplementingSDPGarediscussedwithemphasis.
简介:Thenewcatalogueofprocessingtrade-bannedcommoditieswasannouncedrecently.TheannouncementwasexecutedsinceNovember22of2006.TheCataloguewillbeadjustedaccordingtorelatedpoliciesofthestate.
简介:Inordertosolvetheproblemsrelatedwithprocessinglow-qualityLiaohehighlysourcrude,theLiaohePetrochemicalCompanyhasexploredthepossibilityinoptimizingtheprocessingofhighlysourcrudebyadoptingdifferentprocessschemesdependinguponthepropertiesofthehighlysourcrude.TheLiaohenaphthenic-basecrudeoilwithlowfreezingpointisearmarkedformanufactureofnaphtheniclubeoilsandheavytrafficpavingasphalt,whiletheextra-heavyLiaohecrudewithhighacidnumberisrouteddirectlytodelayedcokingunitcoupledwithcorrespondingcorrosionpreventingmeasures,resultingintacklingtheproblemofequipmentcorrosionarisingfromrefiningofLiaohehighlysourcrudetoobtainlightdistillatesfromLiaoheheavycrudethroughashortprocessscheme.
简介:Thispaperdescribestheinverstigationdevotedtoestablishsuitableweightsinafeed-forwardneuralnetworkrealizingthenarrow-bandfilteringmapinthecaseofadaptivelineenhancement(ALE)bytheutilityoftheoptimumcommonlearningratebackpropagation(OCLRBP)algorithm.Itisfoundthatafeed-forwardnetworkwith64linearinputandoutputneurons,and8oddsigmoidneuronsinthehiddenlayer,i.e.an(64→8→64)architecture,couldestablishthespecificinput-outputfunctioninthecaseofrelativelylowsignal-to-noiseradio.Onlyisaninputsignalconsistingofmixedperiodicandbroad-bandcomponentsavailabletothenetworksystem.Afterlearning,boththe"fanning-in-connectionpatterns",eachofwhichconsistsofweightsfanningintoahidden-neuronFromalltheoutputsofinput-neurons,andthe"fanning-out-connectionpatterns",eachofwhichconsistsofweightsfanningoutfromahidden-neurontoalltheinputsofoutput-neurons,aretunedtotheperiodicsignals.Thenonline
简介:Thispaperintroducesanoveltechniqueforobjectdetectionusinggeneticalgorithmsandmorphologicalprocessing.Themethodemploysakindofobjectorientedstructureelement,whichisderivedbygeneticalgorithms.Thepopulationofmorphologicalfiltersisiterativelyevaluatedaccordingtoastatisticalperformanceindexcorrespondingtoobjectextractionability,andevolvesintoanoptimalstructuringelementusingtheevolutionprinciplesofgeneticsearch.Experimentalresultsofroadextractionfromhighresolutionsatelliteimagesarepresentedtoillustratethemeritandfeasibilityoftheproposedmethod.
简介:ARGO-YBJ,aChinese-ItalianCollaboration,isgoingtofinishthefirststepoftheinstallationofthiscosmicraytelescopeconsistinginasinglelayerofRPCs,placedat4300m.elevation,inTibet,Thedetectorwillprovideadetailedspace-timepictureoftheshowersfront,initiatedbyprimariesofenergiesintherange10GeV-500TeV.Thedatatakingwillstartatthebeginningof2002withafractionofthedetectorinstalled.willbeupgradedtwotimes,beingcompletedattheendof2003,Inthispaperwebrieflydescribethedataflow,thetriggerorganization,thethreeoperationalstepsindatatakingandthecomputingmodeltoprocessthedata.theneedofremotemonitoringoftheexperimentwillbetouchedupon.TheprocessingpowerfortherawdatareconstructionandfortheMonteCarlosimulationisreported.
简介:Thestressanalysisofthehumanfemurisconsiderablycomplicated.Inadditiontothemotionalpostureandtheloadingconditionofthefemur,itisgreatlyrelatedtoitsgeometryandbonystructureindifferentparts.Inpreviousresearches,themeansoffemoralshapeusinginthefinite-element-analysiswasobtainedbymeansofapply-ingtheradiographswhichweretheninputincomputer.Obviously,theresultswereneitherrealnorprecise.Inthispaper,thecomputerimageprocessingwasusedtogetthegeometryandthesizeofthehumanfemur,whichcouldmakethefinite-ele-
简介:Tomeetthechallengeofimplementingrapidlyadvanced,time-consumingmedicalimageprocessingalgorithms,itisnecessarytodevelopamedicalimageprocessingtechnologytoprocessa2Dor3Dmedicalimagedynamicallyontheweb.Butinapremiersystem,onlystaticimageprocessingcanbeprovidedwiththelimitationofwebtechnology.ThedevelopmentofJavaandCORBA(commonobjectrequestbrokerarchitecture)overcomestheshortcomingofthewebstaticapplicationandmakesthedynamicprocessingofmedicalimagesonthewebavailable.Todevelopanopensolutionofdistributedcomputing,weintegratetheJava,andwebwiththeCORBAandpresentaweb-basedmedicalimagedynamicprocessingmethed,whichadoptsJavatechnologyasthelanguagetoprogramapplicationandcomponentsofthewebandutiliestheCORBAarchitecturetocopewithheterogeneouspropertyofacomplexdistributedsystem.Themethodalsoprovidesaplatform-independent,transparentprocessingarchitecturetoimplementtheadvancedimageroutinesandenableuserstoaccesslargedatasetandresourcesaccordingtotherequirementsofmedicalapplications.TheexperimentinthispapershowsthatthemedicalimagedynamicprocessingmethodimplementedonthewebbyusingJavaandtheCORBAisfeasible.
简介:Ithasbeendebatedthatwhichofrasterandvectoristhemosteffective,fromtheviewpointsofstorageefficiency,processingefficiency,andabilitytocapturetheessenceofgeographicspaceforanapplication.Theremaybenoclearanswertothisdebate.Itseemsappropriatetonotethatthemaindifferencebetweenthemrelatestothedegreetowhichthespatialentitiesofinterestareexplicitinthedata. Ingeneral,rasterremotesensingimageallowstheinvestigatortomeasureandmonitorsurfaceelectromagneticwavevariationinwhichmostobjectsandthespatialinterrelationshipsbetweenthemareimplicit.Inpractice,therearemanypoorlyunderstoodtradeoffsincouplingremotesensingdatatoexistingthematicmaps.Mapsusepointsandlinestorepresentselectedfeaturesoftheenvironmentinageneralizedfashion,buttheobjectssuchasindividualpolygons,linesandpointswithinanimagearetypicallyunknown. TheintegrationofremotesensinginformationintoaGISoccursnaturallyinarasterGISbecausebothdatastructuresareapproximatelythesame.Integrationintoavectorsystemrequiressomewhatmoreeffort,butithasbeenrecentlyachievedbyseveralGISandremotesensingvendors.Whenoneisstoringalargeamountofimagedatarelatedtosomeapplicationsintoaspatialdatabasesystem,itisnotpossibletoprocessthedataandtoobtainpolygonalrepresentationsofallobjectsthatwillbeofinteresttousersinadvance.Ontheotherhand,itmightbeofgreatvalueinsuchasystemtohaveavectorrepresentationofcertainimportantobjects.Forthisapplication,oneneedstodesignasystemwithbothrasterandvectorcapabilities,aswellastoolstointerrelatethem.Especially,asinFig.1,weneedtoprocessbothrasterandvectorsimultaneously. Asdescribedabove,whileaspatialinformationsystemmayhaveseveraldatastructures,thesystemcouldbeextendedinseveralwayswhichcorrespondtothefollowingdifferentproperties(seeFig.2): 1)Thestuructureinforma
简介:Inthispaper,thespatiallinearitymethodisappliedtosyntheticalprocessingofprecursorydatafromdifferentstationsanddifferentdisciplines.Thenewcharacteristicvalue(a)obtainedcandescribethewholeprecursoryfield.Theauthorspresenttheformulasforcalculatingspatiallinearity.Furthermore,thespatiallinearitymethodisappliedtoprocessingofgeoelectricalresistivityandgroundwaterleveldatafrom1970to1994inNorthChina.Theresultsshowthatthenewcharacteristicvalue(a)coulddetecttheanomaly1yearbeforemoderatelystrongearthquakes.
简介:Selfscanningphotodiodearray(SSPA)isakindofsolidstateimagingsensor.ThesignalprocessingmethodusingaspecialsectorSSPAwasinvestigated.BasedontheprincipleandcharacteristicsofSSPA,asignalacquisitionandprocessingmethodcontrolledbycomputerwasintroduced.Theamplificationofweaksignal,thematchingoftimesequence,thefastpeakholdingwithlowleakage,thehighspeedA/Dconversionandnonlinearcorrectionwerediscussed.ThismethodcanacquirethepeaksignalofeveryringofsectorSSPAwithhighaccuracyandinrealtime.Itcanbeusedtodetectthedistributionofspacelightenergy.