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    • 簡介:CIRCUITWORLDANINNOVATIONINHORIZONTALPROCESSINGPETERLYMNKENBISHOPARTICLEINFORMATIONTOCITETHISDOCUMENTPETERLYMNKENBISHOP,2011,“ANINNOVATIONINHORIZONTALPROCESSING“,CIRCUITWORLD,VOL37ISS1PP3037PERMANENTLINKTOTHISDOCUMENTHTTP//DXDOIORG/101108/03056121111101269DOWNLOADEDON09MARCH2015,AT2230PTREFERENCESTHISDOCUMENTCONTAINSREFERENCESTO0OTHERDOCUMENTSTOCOPYTHISDOCUMENTPERMISSIONSEMERALDINSIGHTCOMTHEFULLTEXTOFTHISDOCUMENTHASBEENDOWNLOADED803TIMESSINCE2011USERSWHODOWNLOADEDTHISARTICLEALSODOWNLOADEDNEALWAGNER,ZBIGNIEWMICHALEWICZ,SVENSCHELLENBERG,CONSTANTINCHIRIAC,ARVINDMOHAIS,2011,“INTELLIGENTTECHNIQUESFORFORECASTINGMULTIPLETIMESERIESINREALWORLDSYSTEMS“,INTERNATIONALJOURNALOFINTELLIGENTCOMPUTINGANDCYBERNETICS,VOL4ISS3PP284310HTTP//DXDOIORG/101108/17563781111159996BERNDPONICK,2011,“MINIATURISATIONOFELECTRICALMACHINES“,COMPELTHEINTERNATIONALJOURNALFORCOMPUTATIONANDMATHEMATICSINELECTRICALANDELECTRONICENGINEERING,VOL30ISS4PP11391147HTTP//DXDOIORG/101108/03321641111133082HAPPYHOLDEN,CHARLESPFEIL,2011,“EIGHTKEYHDIDESIGNPRINCIPLES“,CIRCUITWORLD,VOL37ISS3PP1626HTTP//DXDOIORG/101108/03056121111155639ACCESSTOTHISDOCUMENTWASGRANTEDTHROUGHANEMERALDSUBSCRIPTIONPROVIDEDBYEMERALDSUBSCRIBERSFORAUTHORSIFYOUWOULDLIKETOWRITEFORTHIS,ORANYOTHEREMERALDPUBLICATION,THENPLEASEUSEOUREMERALDFORAUTHORSSERVICEINFORMATIONABOUTHOWTOCHOOSEWHICHPUBLICATIONTOWRITEFORANDSUBMISSIONGUIDELINESAREAVAILABLEFORALLPLEASEVISITWWWEMERALDINSIGHTCOM/AUTHORSFORMOREINFORMATIONABOUTEMERALDWWWEMERALDINSIGHTCOMEMERALDISAGLOBALPUBLISHERLINKINGRESEARCHANDPRACTICETOTHEBENEFITOFSOCIETYTHECOMPANYMANAGESAPORTFOLIOOFMORETHAN290JOURNALSANDOVER2,350BOOKSANDBOOKSERIESVOLUMES,ASWELLASPROVIDINGANEXTENSIVERANGEOFONLINEPRODUCTSANDADDITIONALCUSTOMERRESOURCESANDSERVICESEMERALDISBOTHCOUNTER4ANDTRANSFERCOMPLIANTTHEORGANIZATIONISAPARTNEROFTHECOMMITTEEONPUBLICATIONETHICSCOPEANDALSOWORKSWITHPORTICOANDTHELOCKSSINITIATIVEFORDIGITALARCHIVEPRESERVATIONRELATEDCONTENTANDDOWNLOADINFORMATIONCORRECTATTIMEOFDOWNLOADDOWNLOADEDBYUNIVERSITYOFMELBOURNEAT223009MARCH2015PTINTRODUCEDATTHEPOINTOFCONTACTOFTHECHEMICALWITHTHEPANELBEINGPROCESSEDADUALFLUIDVERSIONOFTHE“STREAMLINEFLUIDENGINE”THATSIMULTANEOUSLYFEEDSGASANDLIQUIDTOTHEDISCHARGESLOTSPROVIDESTHISFACILITY,WHILEMAINTAININGTHECHARACTERISTICSASSOCIATEDWITHTHESTANDARD“FLUIDENGINE”THEDESIGNOFTHISENGINEISSHOWNINFIGURE2THEGASISFEDUNDERPRESSURETOTHEOUTERGASPLENUMSHOWNINGREENTHATISSEPARATEDFROMTHELIQUIDPLENUMBYAPERMEABLEMEMBRANETHEBASEPLATEHASASERIESOFCLOSELYSPACEDHOLESTHATNORMALLYCONNECTTHEBASEPLATEDIRECTLYTOTHELIQUIDPLENUMACROSSTHEWIDTHINTHEDUALFEEDHEADTHELIQUIDPLENUMHASASERIESOFTUBESTHATCONNECTTHEGASPLENUMTOTHEBASEPLATETHESETUBESAREPITCHEDSUCHTHATTHEYLINEUPWITHEVERYOTHERHOLEINTHEBASEPLATEANDSEALTHEHOLESFROMTHELIQUIDINTHEPLENUMTHEREFORE,GASANDLIQUIDAREDELIVEREDSIDEBYSIDEACROSSTHEWIDTHOFTHEPANELTHROUGHALTERNATEHOLESFIGURE2SHOWSHOWBOTHGASANDCHEMICALREACHTHEOUTPUTJETSTHELOWERHEADSHOWSTHEPATHTHATTHEGASTAKESTOREACHTHEJETSANDTHEUPPERHEADSHOWSHOWTHECHEMICALDOESGASISSHOWNASGREENANDCHEMICALASBLUEFLUIDKNIFEWHEREITISNECESSARYTOREMOVECHEMICALSFROMTHEPANELBYDILUTION,ORWHEREHIGHFLUIDIMPINGEMENTISREQUIREDTOWETBLINDFEATURES,ASHORTERVERSIONOFTHEFLUIDENGINE,KNOWNASAFLUIDKNIFE,ISUSEDTYPICALLY,THISFLUIDKNIFEISUSEDFORWATERRINSINGAFTERACHEMICALPROCESSORPRETREATINGPRIORTOACHEMICALPROCESSFIGURE3THEFLUIDKNIFECONSIDERABLYREDUCESBOTHTHECONVEYORLENGTHANDTHEPOWERREQUIREDTOPUMPSOLUTIONONTOTHEPANELFOREXAMPLE,ASINGLEFLUIDKNIFEPROVIDESASOLUTIONRATEOF40LPERMINUTEUSINGA110WPUMP,COMPAREDTOAMORECONVENTIONALSPRAYRINSETHATDELIVERS28LPERMINUTEFROMA750WPUMPSIMILARLY,THEFLUIDKNIFEREQUIRESONLY170MMOFCONVEYORLENGTHCOMPAREDTO240MMFORTHESPRAYRINSEASWITHTHEFLUIDENGINE,THINMATERIALTRANSPORTISASSISTEDBYTHEFLUIDFLOWCHARACTERISTICS,ALTHOUGHTHEPROPORTIONALLYLOWERFLOWRATEAVOIDSTHENEEDFORTHEOVERHEADFLUIDDEFLECTION,THEUPPEROUTFLOWBEINGDEFLECTEDTOTHESIDESTHELIQUIDTHATESCAPESTOEACHSIDEOFTHEPANELSISDEFLECTEDDOWNWARDUSINGTHECOANDAEFFECTGUIDESONTHEBOTTOMKNIFEANDAJETDEFLECTORONTHEEXITOFTHEUPPERKNIFETHISNEGATESTHENEEDFORSEGMENTEDCONTAINMENTROLLERSOREXTENDEDENTRYANDEXITZONESFIGURE4JETKNIFETHEJETKNIFEPROVIDESMULTIPLEUPPERANDLOWERHIGHIMPINGEMENTCONVENTIONALSPRAYJETSTODISPLACESALTS,FLUXESANDOTHER“CONTAMINANTS”THATARENOTREADILYDISSOLVEDTHEOFFSETOPPOSINGJETSBALANCEMATERIALBETWEENTHEROLLERSANDTHEPORTEDENTRYANDEXITGUIDESENSURECONTACTLESSENTRYANDEXITTOTHESPRAYZONEDRAINAGEHOLESINTHELOWERCHAMBERENSURETHATFLUIDISDISPERSEDQUICKLYANDDOESNOTFLOODOVERTHEISOLATIONROLLERSTHESPACEREQUIREDISTHESAMEASFORAFLUIDKNIFE,BUTITREQUIRESAHIGHERPOWERPUMPTHEJETKNIFECANBESEENINFIGURE5DRYINGWITHAFLUIDKNIFEBASEDONTHEKNIVESORIGINALLYDEVELOPEDANDPATENTEDFORHOTAIRLEVELLING,THESESINGLESLOTKNIVESARESHAPEDSOTHATAFIGURE1DIAGRAMMATICVIEWOFTHEFLUIDENGINESHOWINGTHELAMINARFLOWANDTHECOANDAEFFECTFIGURE2DUALFLUIDENGINETOINTRODUCEAGASINTOTHECHEMICALSTREAMFIGURE3FLUIDKNIFESHOWINGPASSAGEOFPANELTHROUGHKNIFEANDFLOWOFFLUIDFIGURE4FLUIDKNIFESHOWINGFLUIDFLOWINGTOTHESIDEOFAPANELPASSINGTHROUGHTHEKNIFEANINNOVATIONINHORIZONTALPROCESSINGPETERLYMNANDKENBISHOPCIRCUITWORLDVOLUME37NUM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    • 簡介:SELECTINGTHERIGHTDATAACQUISITIONSYSTEMAPPLICATIONNOTE1412ENGINEERSOFTENMUSTMONITORAHANDFULOFSIGNALSOVEREXTENDEDPERIODSOFTIME,ANDTHENGRAPHANDANALYZETHERESULTINGDATATHENEEDTOMONITOR,RECORDANDANALYZEDATAARISESINAWIDERANGEOFAPPLICATIONS,INCLUDINGTHEDESIGNVERIFICATIONSTAGEOFPRODUCTDEVELOPMENT,ENVIRONMENTALCHAMBERMONITORING,COMPONENTINSPECTION,BENCHTOPTESTINGANDPROCESSTROUBLESHOOTINGTHISAPPLICATIONNOTEDESCRIBESTHEVARIOUSMETHODSANDDEVICESYOUCANUSETOACQUIRE,RECORDANDANALYZEDATA,FROMTHESIMPLEPENANDPAPERMETHODTOUSINGTODAYSSOPHISTICATEDDATAACQUISITIONSYSTEMSITDISCUSSESTHEADVANTAGESANDDISADVANTAGESOFEACHMETHODANDPROVIDESALISTOFQUESTIONSTHATWILLGUIDEYOUINSELECTINGTHEAPPROACHTHATBESTSUITSYOURNEEDSINTRODUCTIONONTHEDOWNSIDE,PCPLUGINCARDSOFTENHAVEONLY12BITSOFRESOLUTION,SOYOUCANTPERCEIVESMALLVARIATIONSWITHTHEINPUTSIGNALFURTHERMORE,THEELECTRICALENVIRONMENTINSIDEAPCTENDSTOBENOISY,WITHHIGHSPEEDCLOCKSANDBUSNOISERADIATEDTHROUGHOUTOFTEN,THISELECTRICALINTERFERENCELIMITSTHEACCURACYOFTHEPCPLUGINCARDTOTHATOFAHANDHELDDMMTHESECARDSALSOMEASUREAFAIRLYLIMITEDRANGEOFDCVOLTAGETOMEASUREOTHERINPUTSIGNALS,SUCHASACVOLTAGE,TEMPERATUREORRESISTANCE,YOUMAYNEEDSOMESORTOFEXTERNALSIGNALCONDITIONINGADDITIONALCONCERNSINCLUDEPROBLEMATICCALIBRATIONANDOVERALLSYSTEMCOST,ESPECIALLYIFYOUNEEDTOPURCHASEADDITIONALSIGNALCONDITIONINGACCESSORIESORAPCTOACCOMMODATETHECARDSTAKINGTHATINTOCONSIDERATION,PCPLUGINCARDSOFFERANATTRACTIVEAPPROACHTODATAACQUISITIONIFYOURREQUIREMENTSFALLWITHINTHECAPABILITIESANDLIMITATIONSOFTHECARDDATALOGGERSDATALOGGERSARETYPICALLYSTANDALONEINSTRUMENTSTHAT,ONCETHEYARESETUP,CANMEASURE,RECORDANDDISPLAYDATAWITHOUTOPERATORORCOMPUTERINTERVENTIONTHEYCANHANDLEMULTIPLEINPUTS,INSOMEINSTANCESUPTO120CHANNELSACCURACYRIVALSTHATFOUNDINSTANDALONEBENCHDMMS,WITHPERFORMANCEINTHE22BIT,0004PERCENTACCURACYRANGESOMEDATALOGGERSHAVETHEABILITYTOSCALEMEASUREMENTS,CHECKRESULTSAGAINSTUSERDEFINEDLIMITS,ANDOUTPUTSIGNALSFORCONTROLONEADVANTAGEOFUSINGDATALOGGERSISTHEIRBUILTINSIGNALCONDITIONINGMOSTAREABLETODIRECTLYMEASUREANUMBEROFDIFFERENTINPUTSWITHOUTTHENEEDFORADDITIONALSIGNALCONDITIONINGACCESSORIESONECHANNELCOULDBEMONITORINGATHERMOCOUPLE,ANOTHERARESISTIVETEMPERATUREDEVICERTDANDSTILLANOTHERCOULDBELOOKINGATVOLTAGETHERMOCOUPLEREFERENCECOMPENSATIONFORACCURATETEMPERATUREMEASUREMENTISTYPICALLYBUILTINTOTHEMULTIPLEXERCARDSADATALOGGERSBUILTININTELLIGENCEHELPSYOUSETUPTHETESTROUTINEANDSPECIFYTHEPARAMETERSOFEACHCHANNELONCEYOUHAVECOMPLETEDTHESETUP,DATALOGGERSCANRUNASSTANDALONEDEVICES,MUCHLIKEARECORDERTHEYSTOREDATALOCALLYININTERNALMEMORY,WHICHCANACCOMMODATE50,000READINGSORMOREPCCONNECTIVITYMAKESITEASYTOTRANSFERDATATOYOURCOMPUTERFORINDEPTHANALYSISMOSTDATALOGGERSAREDESIGNEDFORFLEXIBILITYANDSIMPLECONFIGURATIONANDOPERATION,ANDMANYPROVIDETHEOPTIONOFREMOTESITEOPERATIONVIABATTERYPACKSOROTHERMETHODSDEPENDINGONTHEA/DCONVERTERTECHNIQUEUSED,CERTAINDATALOGGERSTAKEREADINGSATARELATIVELYSLOWRATE,ESPECIALLYCOMPAREDTOMANYPCPLUGINCARDSSTILL,READINGSPEEDSOF250READINGS/SECONDARENOTUNCOMMONKEEPINMINDTHATMANYOFTHEPHENOMENABEINGMONITOREDAREPHYSICALINNATURESUCHASTEMPERATURE,PRESSUREANDFLOWANDCHANGEATAFAIRLYSLOWRATEADDITIONALLY,BECAUSEOFADATALOGGERSSUPERIORMEASUREMENTACCURACY,MULTIPLEREADINGSANDAVERAGINGARENOTNECESSARY,ASTHEYOFTENAREINPCPLUGINSOLUTIONSDATAACQUISITIONFRONTENDSDATAACQUISITIONFRONTENDSAREOFTENMODULARANDARETYPICALLYCONNECTEDTOAPCORCONTROLLERTHEYAREUSEDINAUTOMATEDTESTAPPLICATIONSFORGATHERINGDATAANDFORCONTROLLINGANDROUTINGSIGNALSINOTHERPARTSOFTHETESTSETUPFRONTENDPERFORMANCECANBEVERYHIGH,WITHSPEEDANDACCURACYRIVALINGTHEBESTSTANDALONEINSTRUMENTSDATAACQUISITIONFRONTENDSAREIMPLEMENTEDINANUMBEROFFORMATS,INCLUDINGVXIVERSIONS,SUCHASTHEAGILENTE1419AMULTIFUNCTIONMEASUREMENTANDCONTROLVXIMODULE,ANDPROPRIETARYCARDCAGESALTHOUGHFRONTENDCOSTHASBEENDECREASING,THESESYSTEMSCANBEFAIRLYEXPENSIVE,ANDUNLESSYOUREQUIRETHEHIGHPERFORMANCETHEYPROVIDE,YOUMAYFINDTHEIRPRICETOBEPROHIBITIVEONTHEPLUSSIDE,THEYDOOFFERCONSIDERABLEFLEXIBILITYANDMEASUREMENTCAPABILITY3
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    • 簡介:ACOMPARISONOFROTARYREGENERATORTHEORYANDEXPERIMENTALRESULTSFORANAIRPREHEATERFORATHERMALPOWERPLANTTEODORSKIEPKOA,,RAMESHKSHAHBABIALYSTOKTECHNICALUNIVERSITY,15351BIALYSTOK,POLANDBDEPARTMENTOFMECHANICALENGINEERING,ROCHESTERINSTITUTEOFTECHNOLOGY,ROCHESTER,NY146235604,USAABSTRACTTHEAIMOFTHEPAPERISTOCOMPARERESULTSOBTAINEDBASEDONTHEORETICALMODELINGWITHDIRECTLYMEASUREDEXPERIMENTALDATAONAFULLSCALEOPERATINGAIRPREHEATERFIRST,THEMODELOFROTARYREGENERATORENERGYTRANSPORTINVOLVINGLONGITUDINALMATRIXHEATCONDUCTIONISFORMULATEDINTHEPAPERTHENASOLUTIONOFTHEMODELEQUATIONSYSTEMISPRESENTEDWITHREFERENCETOAUTHORS?FORMERPAPERSTHERESULTSREPRESENTINGTEMPERATUREDISTRIBUTIONSOFHEATEXCHANGINGGASESANDCONTINUOUSLYROTATINGMATRIXAREILLUSTRATEDBYMEANSOF3DCHARTSFORTHEROTARYAIRPREHEATEROF53MDIAMETER,THETEMPERATUREDISTRIBUTIONSCOMPUTEDARECOMPAREDWITHEXPERIMENTALDATARIGHTTRENDSANDAFAIRAGREEMENTBETWEENTHEORYANDEXPERIMENTSAREFOUNDFINALLY,THECOMPUTEDANDEXPERIMENTALREGENERATORHEATTRANSFEREFFECTIVENESSESARECOMPAREDANDFOUNDTOBEWITHIN?3AGREEMENTATABOUT88REGENERATOREFFECTIVENESS?2003PUBLISHEDBYELSEVIERINC1INTRODUCTIONANIMPORTANTCHARACTERISTICOFAROTARYHEATEXCHANGERISTOCOMBINECOMPACTNESSWITHHIGHPERFORMANCESUCHAHEATEXCHANGERHASAROUNDDISKMATRIXCOREHAVINGALARGEAMOUNTOFHEATTRANSFERSURFACETHEDISKROTATESCONTINUOUSLYWITHACONSTANTFRACTIONOFTHECORESUBMERGEDINTOTHEHOTFLUIDSTREAMANDTHEREMAININGFRACTIONINTOTHECOLDFLUIDSTREAMINTURN,WHENTHEHOTGASPENETRATESINTOFLOWPASSAGESOFTHECORE,THEENERGYISSTOREDINTHEMATRIXCONVERSELY,DURINGFLOWOFTHECOLDGASTHROUGHTHESAMEPASSAGES,THEMATRIXCOREDELIVERSTHEENERGYTOTHECOLDFLUIDBECAUSEHEATISNOTTRANSFERREDACROSSAWALLSEPARATINGTHEFLUIDSBUTHEATISSTOREDANDREJECTEDALTERNATELYBYEACHMATRIXELEMENT,THEROTARYHEATEXCHANGERSAREFREQUENTLYREFERREDTOASROTARYREGENERATORSANALYSISOFHEATTRANSFERINREGENERATORSWASINITIATEDANDDEVELOPEDINGERMANYDURING1910–1930SPRIORTO1948,ALLTHEMODELSWEREBASEDONASETOFCLASSICALIDEALIZATIONSASLISTEDBYSHAH1MONDT2HASPROVIDEDADDITIONALREFERENCESONDEVELOPMENTSINTHEMODELINGWITHLONGITUDINALCONDUCTIONEFFECTSINCLUDEDINTHEANALYSISSINCE1948BAHNKEANDHOWARD3ANALYZEDNUMERICALLYTHEROTARYREGENERATORPROBLEMINORDERTODETERMINETHEREGENERATORHEATTRANSFEREFFECTIVENESSWITHLONGITUDINALCONDUCTIONEFFECTINCLUDEDTHEYSHOWEDTHATTHEEFFECTIVENESSDEPENDSUPONNTU0C?DAAT?A?SKANDPROVIDEDTHERESULTSFORAWIDERANGEOFPARAMETERS16NTU06100096C?610256DAAT??A?S610016K6032BAHNKEANDHOWARD?SRESULTSFORALIMITEDINDUSTRIALLYUSEFULRANGEWERECORRELATEDBYSHAH4INANALGEBRAICFORMULAINASERIESOFPAPERS,SKIEPKO5–7DERIVEDANANALYTICALSOLUTIONFORTHEROTARYREGENERATORPROBLEMINCLUDINGTHELONGITUDINALCONDUCTIONEFFECTINTHEMATRIXWALLBASEDONTHESOLUTION,HEEVALUATEDTHEEFFECTOFDIMENSIONLESSREGENERATORMODELPARAMETERSONTHEGASANDMATRIXTEMPERATUREDISTRIBUTIONSANDSHOWED3DTEMPERATUREDISTRIBUTIONGRAPHSROMIE8EXPRESSEDTHEEFFECTOFLONGITUDINALWALLHEATCONDUCTIONONTHEREGENERATOREFFECTIVENESSBYMEANSOFTWOAUXILIARYFACTORSMORERECENTLY,SHAHANDSKIEPKO9PROVIDEDDATAONTHEREGENERATOREFFECTIVENESSFORCASESINWHICHDAAT?6?A?SCONCLUDING,ALLTHEAFOREMENTIONEDRESULTSAREBASEDONTHEORETICALMODELINGNOCOMPARISONSOFMODELRESULTSWITHEXPERIMENTALDATAAREAVAILABLEINTHEOPENLITERATURETHEOBJECTIVEOFTHEPAPERISCORRESPONDINGAUTHOREMAILADDRESSTSKIEPKOCKSRACBIALYSTOKPLTSKIEPKO08941777/SEEFRONTMATTER?2003PUBLISHEDBYELSEVIERINCDOI101016/S0894177703000487EXPERIMENTALTHERMALANDFLUIDSCIENCE282004257–264WWWELSEVIERCOM/LOCATE/ETFSGASTEMPERATURESH1D06U161Z?0T?1D3TH2D06U261Z?0T?0D4TCOUPLINGOFMATRIXTEMPERATURES1DU1?0ZT?2DU2?11?ZTD5T1DU1?1ZT?2DU2?01?ZTD6TASSUMEDADIABATICITYOFMATRIXSURFACEFACESOJOZ????UJZ?0?0ANDOJOZ????UJZ?1?0J?12D7TTHEPROBLEMFORMULATIONABOVEISIDENTICALTOTHATINVESTIGATEDBYBAHNKEANDHOWARD3THEYSOLVEDTHEPROBLEMBYANUMERICALANALYSIS3METHODOFSOLUTIONANDRESULTSEQS1–7HAVEBEENSOLVEDANALYTICALLYBYAMETHODDEVELOPEDBYSKIEPKO5,6THEFINALFORMULASDETERMININGGASANDMATRIXTEMPERATUREDISTRIBUTIONSWITHINHOTANDCOLDGASFLOWZONESAREAVAILABLEININFINITESERIESFORMS6ANDARENOTPRESENTEDHEREDUETOSPACELIMITATIONSTHECOEFFICIENTSOFTHEINFINITESERIESAREDETERMINEDNUMERICALLYBYSOLVINGASETOFLINEAREQUATIONSOBTAINEDFROMTRUNCATINGTHEINFINITESERIESTOSOMEFINITENUMBEROFTERMSANDUSINGTHECOLLOCATIONMETHODFORBOUNDARYCONDITIONSOFEQS5AND6INFIGS2AND3,GASANDMATRIXTEMPERATUREDISTRIBUTIONSARESHOWNFROMTHESOLUTIONOFEQS1–7NOTICETHATTHEGASANDMATRIXTEMPERATUREFIELDSAREMARKEDLYNONLINEAREITHERINTHEDIRECTIONOFGASFLOWSANDINMATRIXROTATIONTHEEFFECTOFLONGITUDINALMATRIXHEATCONDUCTIONISDEMONSTRATEDUSINGTHREEVALUESOFKJPARAMETER,IEK1?K2?0WHENNOCONDUCTIONEFFECTISINCLUDED,ANDK1?K2?001AND02THETRENDSINTEMPERATUREVARIATIONSASFUNCTIONSOFCOORDINATESSHOWTHATHEATCONDUCTIONMAYAFFECTESSENTIALLYTHETEMPERATUREFIELDSOFBOTHGASESANDMATRIXWHENK1ANDK2VALUESAREHIGHERTHANABOUT001FORMOREDETAILEDANALYSISOFTHECONDUCTIONEFFECTONGASANDMATRIXTEMPERATUREDISTRIBUTIONS,SEESKIEPKO6,7THEMODELDESCRIBEDBYEQS1–7ISBASEDONASETOFIDEALIZATIONSTHATMAKETHEPROBLEMEASILYMANAGEABLEHOWEVER,THEINACCURACYINCURREDBYTHEIDEALIZATIONSINDEPENDENTTEMPERATUREDISTRIBUTIONSCANBEEVALUATEDONLYBYCOMPARISONSWITHEXPERIMENTALDATA4EXPERIMENTALEXCHANGERMEASUREMENTSWEWILLNOWPRESENTAQUANTITATIVEESTIMATEOFTHEMODELINGINACCURACYBYCOMPARINGRESULTSOFTHEMODELINGWITHEXPERIMENTALDATAFORREGENERATOROUTLETHOTANDCOLDGASTEMPERATUREDISTRIBUTIONSANDTHEREGENERATOREFFECTIVENESSTHEDETAILSONTHEEXPERIMENTALROTARYREGENERATORHAVEBEENPRESENTEDBYSKIEPKO10,THUSONLYASUMMARYISGIVENHEREEXPERIMENTSDESCRIBEDHEREWEREPERFORMEDONAROTARYHEATEXCHANGERANAIRPREHEATERFORAPULVERIZEDFIG2GASTEMPERATUREDISTRIBUTIONSINAROTARYHEATEXCHANGERDETERMINEDBASEDONMODELSOLUTION6FORNTUJ?8C?RJ?2,KJ?0001AND02,J?12FIG3MATRIXTEMPERATUREDISTRIBUTIONINAROTARYHEATEXCHANGERDETERMINEDBASEDONMODELSOLUTION6FORNTUJ?8,C?RJ?2,KJ?0001AND02,J?12TSKIEPKO,RKSHAH/EXPERIMENTALTHERMALANDFLUIDSCIENCE282004257–264259
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      上傳時(shí)間:2024-03-14
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    • 簡介:MACIEJSZAFARCZYKJAROS?AWCHRZANOWSKIRADOS?AWGO?CINIAKWARSAWUNIVERSITYOFTECHNOLOGY,WARSAW,POLANDSTRAINGAUGETOOLPROBEFORNCLATHES?KEYWORDSTOOLPROBE,STRAINGAUGESENSOR,TOOLWEARMEASUREMENT,DIRECTTOOLWEARMEASUREMENTABSTRACTTHEMAINROLEOFTOOLPROBESINNCMACHINETOOLSTHEPROBESUSEDNOWININDUSTRYANDTHEIRDRAWBACKSTHEORIGINALCONCEPTOFATOOLPROBEUSINGFULLSTRAINGAUGEBRIDGESFORORIENTATIONOFTOOLEDGESINFOURDIRECTIONSX,X,Z,ZANDFORDIRECTTOOLWEARMEASUREMENT1INTRODUCTIONTHERAPIDDEVELOPMENTOFALLAREASOFMANUFACTURINGTECHNOLOGYANDTHEAIMTOREDUCECOSTS,INCREASEPRECISIONANDTOSHORTENPRODUCTIONTIMEAREENFORCINGTHEUSEOFMODERNPRODUCTIONTECHNOLOGYDIMENSIONALPARAMETERSARETHEMOSTCOMMONLYENCOUNTEREDQUALITYCHARACTERISTICSOFWORKPIECESCONVENTIONALMACHINETOOLSAREGRADUALLYBEINGREPLACEDINPRODUCTIONPLANTSBYMODERNMANUFACTURINGSYSTEMS,COMPONENTSOFWHICH,INTHECASEOFMACHINING,ARECNCMACHINESMAINNEWCNCMACHINESOPERATESEVERALDIFFERENTTOOLSTOINCREASEDIMENSIONSACCURACYOFCOMPONENTSMANUFACTUREDINCNCLATHESWEMUSTUSETOOLSETTINGSYSTEMSTOKNOWHOWTHETOOLSARELOCATEDONTHEMACHINEUSINGTRADITIONALTECHNIQUES,TOOLSETTINGISTIMECONSUMINGANDCANBEPRONETOHUMANERRORATOUCHPROBESYSTEMISANINSPECTIONEQUIPMENTTHATALLOWSAMACHINETOOLTOPERFORMGEOMETRICALMEASUREMENTSINSIDEITSWORKINGAREA,BUTBESIDESTOOLTIPCOORDINATEIDENTIFICATION,WEMUSTHAVEINFORMATIONABOUTTOOLWEARTHEPROJECTHASBEENFINANCEDFROMMULTIYEARPROGRAMMEPW004,INSTITUTEFORSUSTAINABLETECHNOLOGIESNATIONALRESEARCHINSTITUTEITEEPIBSTANDARDTOOLSETTINGSYSTEMUSEDTOUCHTRIGGERPROBESTHEMOSTKNOWNISRP3PROBINGSYSTEMFIGURE2DESIGNEDBYRENISHAW2,3FIG2RENISHAWRP3PROBE3THESENSINGOFCONTACTBETWEENWORKPIECEANDTHEPROBEISDONEBYELECTRICSWITCHES,WITCHSTRONGLYDETERMINETHEREPEATABILITYANDACCURACYOFPROBINGTHEORIGINALTOUCHTRIGGERPROBEALSOCALLED?KINEMATICRESISTIVEPROBE”FIGURE3,WORKSWITHASETOFTHREECYLINDRICALPEGSATTACHEDTOTHESTYLUSEACHOFTHEMRESTSONTWOSEPARATEDELECTRICCONTACTSTHATGIVESALTOGETHERSIXPOINTSOFCONSTRAINTFORTHESIXDEGREESOFFREEDOMOFTHESTYLUSANELECTRICCIRCUITISBUILTOUTOFTHESECONTACTS,WHICHISCLOSED,WHENTHESTYLUSISINITSNEUTRALPOSITIONWHENTHESTYLUSTOUCHESTHETOOLTIPAFURTHERCONSTRAINTPOINTISADDEDANDSOTHEPRESSUREONONEOFTHEORIGINALCONSTRAINTPOINTSISREDUCED,WHICHCHANGESTHERESISTANCEOFTHEELECTRICCIRCUITTHECONTACTBETWEENSTYLUSANDTOOLTIPISSIGNALEDWHENACERTAINTHRESHOLDVALUEOFRESISTANCEISEXCEEDEDFIG3TOUCHTRIGGERPROBE4
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      上傳時(shí)間:2024-03-13
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    • 簡介:MODELORDERREDUCTIONFORLARGESCALEENGINEERINGMODELSDEVELOPEDINANSYSEVGENIIBRUDNYIANDJANGKORVINKIMTEK,INSTITUTEOFMICROSYSTEMTECHNOLOGYFREIBURGUNIVERSITYGEORGESK¨OHLERALLEE,103D79110,FREIBURG,GERMANY{RUDNYI,KORVINK}IMTEKDEHTTP//WWWIMTEKUNIFREIBURGDE/SIMULATION/ABSTRACTWEPRESENTTHESOFTWAREMOR4ANSYSTHATALLOWSENGINEERSTOEMPLOYMODERNMODELREDUCTIONTECHNIQUESTOFINITEELEMENTMODELSDEVELOPEDINANSYSWEFOCUSONHOWONEEXTRACTSTHEREQUIREDINFORMATIONFROMANSYSANDPERFORMSMODELREDUCTIONINACIMPLEMENTATIONTHATISNOTDEPENDENTONAPARTICULARSPARSESOLVERWEDISCUSSTHECOMPUTATIONALCOSTWITHEXAMPLESRELATEDTOSTRUCTURALMECHANICSANDTHERMALFINITEELEMENTMODELS1INTRODUCTIONTHEMODELORDERREDUCTIONOFLINEARLARGESCALEDYNAMICSYSTEMSISALREADYQUITEANESTABLISHEDAREA1INMANYPAPERSSEEREFERENCESIN2,ADVANTAGESOFMODELREDUCTIONHAVEBEENDEMONSTRATEDFORAVARIETYOFSCIENTIFICANDENGINEERINGAPPLICATIONSINTHEPRESENTWORK,WEFOCUSONHOWENGINEERSCANCOMBINETHISTECHNIQUEWITHEXISTINGCOMMERCIALFINITEELEMENTSOFTWAREINORDERTO–SPEEDUPATRANSIENTORHARMONICANALYSIS,–GENERATEAUTOMATICALLYCOMPACTMODELSFORSYSTEMLEVELSIMULATION,–INCORPORATEFINITEELEMENTPACKAGESDURINGTHEDESIGNPHASEMODELREDUCTIONISCONVENTIONALLYAPPLIEDTOALARGESCALEDYNAMICSYSTEMOFTHEFIRSTORDERASFOLLOWSE˙XAXBUYCX11WHEREAANDEARESYSTEMMATRICES,BISTHEINPUTMATRIX,CISTHEOUTPUTMATRIXTHEAIMOFMODELREDUCTIONISTOGENERATEALOWDIMENSIONALAPPROXIMATIONTO11INASIMILARFORMER˙ZARZBRUYCRZ12THATDESCRIBESWELLTHEDEPENDENCEOFTHEOUTPUTVECTORYONTHEINPUTVECTORUANDSOTHAT,ATTHESAMETIME,THEDIMENSIONOFTHEREDUCEDSTATEVECTORZISMUCHLESSTHANTHEDIMENSIONOFTHEORIGINALSTATEVECTORXJDONGARRA,KMADSEN,ANDJWA′SNIEWSKIEDSPARA2004,LNCS3732,PP349–356,2006C?SPRINGERVERLAGBERLINHEIDELBERG2006MODELORDERREDUCTIONFORLARGESCALEENGINEERINGMODELSDEVELOPEDINANSYS351FIG1MOR4ANSYSBLOCKSCHEME21INTERFACINGWITHANSYSTHEDEVELOPMENTOFTHEFIRSTMODULEHAPPENTOBERATHERDIFFICULTBECAUSEMOSTUSERSOFACOMMERCIALFINITEELEMENTPACKAGEDONOTNEEDTHECAPABILITYTOEXTRACTTHEDYNAMICSSYSTEMINTHEFORMOFEQ11OR23AND,ASARESULT,THISISNOTATRIVIALOPERATIONANSYSISAHUGEPACKAGEANDITSBEHAVIORISNOTCOMPLETELYCONSISTENTFOREXAMPLE,THEINFORMATIONDESCRIBEDBELOWISNOTAPPLICABLEFORTHEFLUIDDYNAMICSMODULEFLOTRANOURSOFTWAREREADSTHEBINARYEMATFILEWITHELEMENTMATRICESINORDERTOASSEMBLEGLOBALSYSTEMMATRICESTHEFILEFORMATISDOCUMENTEDANDANSYSSUPPLIESALIBRARYOFFORTRANSUBROUTINESTOWORKWITHIT10ANEXAMPLEOFHOWONECANUSETHEMCANBEFOUNDINTHEMOR4ANSYSCODE6ANSYSHASASPECIALCOMMAND,CALLEDAPARTIALSOLVEPSOLVE,WITHWHICHONECANEVALUATEELEMENTMATRICESFORAGIVENSTATEVECTORWITHOUTGOINGTHROUGHTHEREALSOLUTIONSTAGETHISALLOWSUSTOGENERATEANEMATFILEEFFICIENTLYFORAGIVENMODELHOWEVER,ITWASNECESSARYTOOVERCOMETHEFOLLOWINGPROBLEMS–THEEMATFILEDOESNOTCONTAINTHEINFORMATIONABOUTEITHERDIRICHLETBOUNDARYCONDITIONSOREQUATIONCONSTRAINTSTHEYSHOULDBEEXTRACTEDSEPARATELY–THEEMATFILEHASACONTRIBUTIONTOTHELOADVECTORFROMELEMENTMATRICESONLYIFNODALFORCESORACCELERATIONSAREUSEDTOAPPLYTHELOAD,THISINFORMATIONSHOULDALSOBEEXTRACTEDINDIVIDUALLY–ITISNECESSARYTOASSEMBLETHEGLOBALMATRICESFROMTHEELEMENTMATRICESDURINGTHESOLUTIONPHASE,ANSYSCANWRITEABINARYFULLFILEWITHTHEASSEMBLEDSYSTEMMATRICESWHENWESTARTEDTHEDEVELOPMENTWITHANSYS57,THISFILEDIDNOTCONTAINTHELOADVECTORINPUTMATRIXSINCETHENTHEREHAVEBEENMANYCHANGESSINCE
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      上傳時(shí)間:2024-03-13
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    • 簡介:RESEARCHONINTELLIGENTONLINEINSULATIONMONITORINGDEVICEOFSHIP’SACPOWERGRIDCHENGXIANGXINMARITIMECOLLEGEOFSHANDONGJIAOTONGUNIVERSITYWEIHAI,CHINACHENGXIANGXINSOHUCOMWUSHUOMARITIMECOLLEGEOFSHANDONGJIAOTONGUNIVERSITYWEIHAI,CHINAWUSHUO84163COMABSTRACTTHEINSULATIONMONITORINGOFSHIPPOWERSYSTEMISANIMPORTANTMEASURETOREMOVEFAULTSANDHIDDENTROUBLESITSCONDITIONCONCERNSTHESECURITYOFPOWERSYSTEMANDOPERATIONSAFETYOFSHIPSCONVENTIONALSHIPPOWERSYSTEMINSULATIONMONITORINGISHARDTOACCURATELYMONITORTHEINSULATIONRESISTANCEDECREASINGORPRECISELYLOCATETHEGROUNDINGBRANCHITTAKESMUCHTIMEANDENERGYTORULEOUTTHEINSULATIONFAILURETHISPAPERINTRODUCESTHEINTELLIGENTONLINEINSULATIONMONITORINGDEVICEBASEDONZEROSEQUENCECURRENTDETECTINGMETHOD,DUALFREQUENCYINJECTIONMETHODANDSCMCONTROL,ITCANACCURATELYANDEFFICIENTLYMONITORTHESHIPPOWERGRIDANDGUARANTEETHEOPERATIONSAFETYOFSHIPSKEYWORDSSHIPPOWERGRIDSHORTCIRCUITINSULATIONRESISTANCEINSULATIONMONITORING?INTRODUCTIONWITHTHEDEVELOPMENTOFSHIPBUILDINGTECHNOLOGYANDTHEINCREASINGTONNAGEOFSHIP,THEMODERNSHIPPOWERSYSTEMCAPACITYHASBEENCONTINUALLYGROWINGACCORDINGLY,ITSDISTRIBUTIONNETWORKSTRUCTUREHASBECOMEMORECOMPLEXANDTHEPOWERGRIDSHAVEBECOMEMORECOMPLEXANDINTENSIVEUNDERTHEHARSHCONDITIONOFHIGHTEMPERATURE,VIBRATION,SHOCK,OILMIST,HUMIDITY,SALTSPRAY,FUNGUS1,THESHIPPOWERGRIDHASBROUGHTALOTOFINFLUENCESTOTHESHIP’SELECTRICALINSULATIONPROPERTIES,WHICHRESULTSINHIGHINCIDENCEOFPOWERSYSTEMINSULATIONFAILURE,THUSFREQUENTLYLEADSTOTERRIBLEACCIDENTS,ASMINORASELECTRICALEQUIPMENTMALFUNCTIONORDAMAGE,ASMAJORASFIRE,COLLISIONANDSINKINGDISASTERLIMITEDBYTECHNICALMEANS,ITHASBEENDIFFICULTTOMONITORTHESTATEOFCOMPLEXBRANCHINSULATIONONCETHEMONITORFAILUREHAPPENS,THEREISNOOTHERWAYTOFINDOUTINSULATIONFAILUREPOINTSEXCEPTMANUALOPERATION,WHICHNOTONLYAFFECTSOPERATIONBYSUPPLYINTERRUPTIONS,BUTALSOHURTSCREWPHYSICALANDMENTALHEALTHBECAUSEOFHIGHLABORINTENSITYTHUS,THESHIP’SPOWERSYSTEMINSULATIONREALTIMEMONITORINGHASTHEEXTREMELYVITALSIGNIFICANCETOTHESECURITYANDCONTINUITYOFPOWERSUPPLYSYSTEMⅡBRIEFINTRODUCTIONSOFTHESHIPPOWERGRIDTHEREARETWOTYPESOFSHIPPOWERGRID,ACPOWERGRIDANDDCPOWERGRIDTHEDCPOWERGRIDISSELDOMUSED,THUSWILLNOTBEANALYZEDINTHISPAPERTHREEPHASEACMAINLYUSEDINTHEPOWERSYSTEMONSHIPHASTHEFOLLOWINGTHREEFORMS1ACTHREEPHASETHREEWIREINSULATEDSYSTEMTHREEPHASETHREEWIRESYSTEM2ACTHREEPHASEFOURWIRESYSTEMWITHNEUTRALEARTHEDTHREEPHASEFOURWIRESYSTEM3THREEWIRESYSTEMWITHNEUTRALGROUNDINGUSINGTHEHULLASTHENEUTRALWIRELOOPWHATTHESHIPPOWERSYSTEMREGULARLYUSESISACTHREEPHASEINSULATEDSYSTEM2ONEOFTHEGREATADVANTAGESOFTHISSYSTEMISTHATWHENSHORTCIRCUITCURRENTTOEARTHOCCURSONONEPHASEITWILLNOTCAUSEPOWEROUTAGE,THUSENSURESTHECONTINUITYANDRELIABILITYOFSHIPPOWERSUPPLYⅢINTELLIGENTINSULATIONMONITORINGDEVICEANADVANCEDINTELLIGENTONLINEINSULATIONMONITORINGANDWARNINGDEVICETHATCANMONITORTHEINSULATIONANDLOCATETHEFAULTYBRANCHISINSTALLEDINASHIPPOWERSYSTEMITSHIGHMEASUREMENTACCURACY,ACCURATEPOSITIONINGANDHIGHAUTOMATIONDETERMINESITSDOMESTICLEADINGLEVELTHEMAINCHARACTERISTICSAREASFOLLOW2010INTERNATIONALCONFERENCEONINTELLIGENTSYSTEMDESIGNANDENGINEERINGAPPLICATION9780769542126/102600?2010IEEEDOI101109/ISDEA2010175219UNKNOWNVARIABLESOFRESISTANCERANDCAPACITANCEC,TWOEQUATIONSMUSTBEPROVIDEDTOOBTAINTHEVALUESOFRANDCDUALFREQUENCYINJECTIONMETHODCANMEASURETHEVALUESOFVOLTAGEUABANDCURRENTI0BYINJECTINGTWODIFFERENTFREQUENCYSIGNALSINTOPOWERGRID,ANDTHENTWOEQUATIONSCANBEOBTAINEDTOSOLVETHEVALUEOFRANDCACCORDINGTOFIG1BTHEEQUATIONSCANBELISTEDASTHEFOLLOWINGI1UAB1/RJ2ΠF1CUAB11I2UAB2/RJ2ΠF2CUAB22INTHEFORMULARBRANCHINSULATIONRESISTANCEVALUECEQUIVALENTDISTRIBUTEDCAPACITANCEVALUEOFTHEBRANCHF1,F2FREQUENCYVALUEOFTHETWOLOWFREQUENCYSIGNALSI1RESULTINGEARTHLEAKAGECURRENTBYTHEALONEACTIONOFSIGNALSOURCEWITHTHEFREQUENCYVALUEF1I2RESULTINGEARTHLEAKAGECURRENTBYTHEALONEACTIONOFSIGNALSOURCEWITHTHEFREQUENCYVALUEF2UAB1RESULTINGVOLTAGEDROPOFTHEINSULATIONRESISTANCEBYTHEALONEACTIONOFSIGNALSOURCEWITHTHEFREQUENCYVALUEF1UAB2RESULTINGVOLTAGEDROPOFTHEINSULATIONRESISTANCEBYTHEALONEACTIONOFSIGNALSOURCEWITHTHEFREQUENCYVALUEF2INSULATIONRESISTANCEVALUESCANBEOBTAINEDBY1AND2KF2/F1INTHEFORMULAUAB1MAMPLITUDEOFUAB1UAB2MAMPLITUDEOFUAB2I1MAMPLITUDEOFI1I2MAMPLITUDEOFI2ACCORDINGTOMEASURINGTHEVOLTAGEVALUESOFUAB1,UAB2ANDTHEEARTHLEAKAGECURRENTOFEVERYLOADEDBRANCHI1,I2,WHICHAREALLCORRESPONDINGTOTHEFREQUENCIESINJECTEDINTOTHEPOWERGRIDF1,F2,THEINSULATIONRESISTANCEOFEVERYLOADEDBRANCHAGAINSTEARTHCANBEOBTAINEDTHROUGH3THUSTHEINSULATIONFAULTBRANCHCANBEDISTINGUISHEDDIGITALFILTERINGMETHODISALSOUSEDTOELIMINATETHEEFFECTOFPOWERFREQUENCYINUAB1,UAB2ANDI1,I2ⅤSYSTEMCONFIGURATIONS4ACCORDINGTOTHEPRINCIPLEMENTIONEDABOVE,THEHARDWAREBLOCKDIAGRAMOFMONITORINGDEVICEISDESIGNED,SEEFIG2WHENTHEZEROSEQUENCECURRENTDETECTINGMETHODISUSED,MULTIPLEXERCONTROLLEDBYSINGLECHIPMICYOCOSCMSYSTEMCOLLECTSTHEPOWERFREQUENCYLEAKAGECURRENTDATAOFEVERYBRANCH,AFTERCOMPARISONWITHTHEPRESETVALUE,THEFAULTBRANCHISDISTINGUISHEDWHENTHEDUALFREQUENCYINJECTIONMETHODISUSED,SCMSYSTEMGIVESINSTRUCTIONTOTHESINEWAVECODERTHESINEWAVECODERWILLGENERATEALOWFREQUENCYSINEWAVESIGNALF1BYD/ACONVERTING,POWERAMPLIFYINGANDTRANSFORMER’SISOLATEDBOOSTING,THESIGNALISINJECTEDINTOTHEPOWERGRIDBOTHMULTIPLEXERANDA/DCONVERTERARECONTROLLEDBYSCMSYSTEMFIRSTTHEPOWERGRIDVOLTAGETOEARTHTRANSFORMEDBYVOLTAGEMEASUREMENTUNITISCOLLECTED,THELEAKAGECURRENTAFTERAMPLIFYINGOFEVERYBRANCHALSOISCOLLECTEDONEBYONE,ANDTHENTHELEAKAGECURRENTIF1OFEVERYBRANCHCORRESPONDINGTOTHELOWFREQUENCYF1ANDVOLTAGEUF1ISOBTAINEDBYDIGITALFILTERINGINTHESAME212222212211ABMABMMABMMABMUUKRKIUIU???????(3)AMPLIFIERMULTIPLEXERAMPLIFIERVOLTAGEMEASURINGPOWERGRIDSCMSYSTEMMULTIPLEXERA/DCONVERTERSINEWAVECODEROPTIONSWITCHD/ACONVERTERTRANSFORMERISOLATINGPOWERAMPLIFIERPOWERGRIDBRANCHSENSOROFPOWERGRIDAMPLIFIERMULTIPLEXERAMPLIFIERVOLTAGEMEASURINGPOWERGRIDSCMSYSTEMMULTIPLEXERA/DCONVERTERSINEWAVECODEROPTIONSWITCHD/ACONVERTERTRANSFORMERISOLATINGPOWERAMPLIFIERPOWERGRIDBRANCHSENSOROFPOWERGRIDFIGURE2HARDWAREBLOCKDIAGRAMOFMONITORINGDEVICE221
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      上傳時(shí)間:2024-03-13
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    • 簡介:此文檔是畢業(yè)設(shè)計(jì)外文翻譯成品(含英文原文中文翻譯),無需調(diào)整復(fù)雜的格式下載之后直接可用,方便快捷本文價(jià)格不貴,也就幾十塊錢一輩子也就一次的事外文標(biāo)題LABVIEWBASEDECGSIGNALACQUISITIONANDANALYSIS外文作者NINADJERMANOVA,MARINMARINOV,BORISLAVGANEV,SERAFIMTABAKOVANDGEORGINIKOLOV文獻(xiàn)出處INTERNATIONALSCIENTIFICCONFERENCEELECTRONICSET2016,SEPTEMBER1214,2018,SOZOPOL,BULGARIA如覺得年份太老,可改為近2年,畢竟很多畢業(yè)生都這樣做英文2248單詞,14953字符字符就是印刷符,中文3526漢字。(如果字?jǐn)?shù)多了,可自行刪減,大多數(shù)學(xué)校都是要求選取外文的一部分內(nèi)容進(jìn)行翻譯的。)LABVIEWBASEDECGSIGNALACQUISITIONANDANALYSISABSTRACT–THISPAPERPRESENTSALABVIEWBASEDSYSTEMOFACQUISITION,PROCESSINGANDANALYSISOFECGELECTROCARDIOGRAMSIGNALSBIOMEDICALSIGNALACQUISITIONHASMADEGREATADVANCESINRECENTYEARSDUETOTHEINTRODUCTIONOFMODERNHARDWAREANDSOFTWARETECHNOLOGIESCOMPUTERBASEDSIGNALPROCESSINGSYSTEMSAREBECOMINGANEFFICIENTAPPROACHFORACQUISITIONANDANALYZINGOFSUCHSIGNALSINOURIMPLEMENTATIONANAD8232INTEGRATEDSIGNALCONDITIONINGFRONTENDOFANALOGDEVICESISUSEDFORMEASUREMENTANDPREPROCESSINGOFTHEECGSIGNALSBATTERYPOWEREDDATAACQUISITIONSYSTEM,WHICHAVOIDS50HZNOISEANDALLOWSFORSAFETYMEASUREMENTWITHOUTADDITIONALISOLATIONISEMPLOYEDLABVIEWBIOMEDICALTOOLKITTIMEDOMAINANALYSISISAPPLIEDTOSTUDYHEARTRATEVARIABILITYTOGETHERWITHADDITIONALPARAMETERSKEYWORDS–ECGSIGNALTIMEDOMAINANALYSIS,BATTERYPOWEREDLABVIEWDAQ,HEARTRATEVARIABILITYIINTRODUCTIONHEALTHMONITORINGISNOWBECOMINGPARTOFEVERYDAYLIFETODAY’SHEALTHCAREINDUSTRYIIHEARTRATEVARIABILITYANORMALONECYCLEECGSIGNALCONSISTSOFSEVERALWAVES,ASSHOWNINFIG1THEWAVEWITHTHEHIGHESTAMPLITUDEISTHERWAVEANRRINTERVALISTHETIMEELAPSEDBETWEENTWOSUCCESSIVERWAVESTHEWAVESWITHTHELOWERAMPLITUDESARETHEPWAVE,THETWAVE,ANDTHEUWAVERRINTERVALSSHOWTHEVARIATIONBETWEENCONSECUTIVEHEARTBEATSHEARTRATEVARIABILITYHRVMEASUREMENTSANALYZEHOWTHESERRINTERVALSCHANGEOVERTIMEFIG1RPEAKSANDRRINTERVALSOFANECGSIGNAL7AACQUIRINGRRINTERVALSTOANALYZEHEARTRATEVARIABILITYHRV,THERRINTERVALSMUSTFIRSTBEACQUIREDANDPREPROCESSEDBYAD8232ANALOGUEFRONTENDFIG2SHOWSTHEPROCESSOFACQUIRINGRRINTERVALSFIG2RRINTERVALACQUISITIONPROCESS7BEXTRACTINGRRINTERVALSFROMECGSIGNALSTHEEXTRACTIONPROCESSUSUALLYINVOLVESAPREPROCESSINGSTEPANDAPEAKDETECTIONSTEPITISNECESSARYTOPREPROCESSTHERAWECGSIGNALSIFTHEYHAVENOISECORRUPTION
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    • 簡介:此文檔是畢業(yè)設(shè)計(jì)外文翻譯成品(含英文原文中文翻譯),無需調(diào)整復(fù)雜的格式下載之后直接可用,方便快捷本文價(jià)格不貴,也就幾十塊錢一輩子也就一次的事外文標(biāo)題THEMECHANISMANDINFLUENCINGFACTORSOFHERDINGEFFECTOFCOLLEGESTUDENTS’NETWORKPUBLICOPINION外文作者HUXIA,ZHANGYANANDANBOWEN文獻(xiàn)出處ANTHROPOLOGIST,231,22262302018如覺得年份太老,可改為近2年,畢竟很多畢業(yè)生都這樣做英文2872單詞,18607字符字符就是印刷符,中文4295漢字。(如果字?jǐn)?shù)多了,可自行刪減,大多數(shù)學(xué)校都是要求選取外文的一部分內(nèi)容進(jìn)行翻譯的。)THEMECHANISMANDINFLUENCINGFACTORSOFHERDINGEFFECTOFCOLLEGESTUDENTS’NETWORKPUBLICOPINIONKEYWORDSBEHAVIORINTERNETPUBLICOPINIONNETWORKSURVEYUNIVERSITYSTUDENTSWECHATABSTRACTTHISSTUDYINVESTIGATEDTHEMECHANISMANDINFLUENCINGFACTORSOFHERDINGEFFECTINNETWORKPUBLICOPINIONOFCOLLEGESTUDENTSEXPERIMENTSBYCONTROLLINGSOURCESOFIDEASANDTHESTRENGTHOFCONCERNEXPLOREHOWCOLLEGESTUDENTSPROCESSINFORMATIONOFPUBLICOPINIONONTHENETWORKTOEXPLOREFACTORSTHATINFLUENCECOLLEGESTUDENTSGENERATINGHERDINGEFFECTINTHEPUBLICOPINIONONTHENETWORK,QUESTIONNAIRESANDDATATESTWEREUSEDTHERESULTSHOWSTHATHERDINGEFFECTISTHERESULTOFCONSENSUSHEURISTICANDCOMPETENCEHEURISTICONTHEOTHERHAND,VARIOUSSOURCESOFINFORMATION,WHICHAREFROMEITHERTHEMAJORITYOREXPERTS,HAVEEQUALIMPACTONCOLLEGESTUDENTS’HERDINGEFFECTINNETWORKPUBLICOPINIONBESIDES,COLLEGESTUDENTS’KNOWLEDGESTRUCTUREISNOTSIGNIFICANTTOGENERATEHERDINGEFFECTONTHECONTRARY,GENDER,GEOGRAPHYANDORIGINALOPINIONSHAVEASIGNIFICANTIMPACTONTHEGENERATIONOFHERDINGINORDERTODETERMINEVARIABLEFACTORSINTHEMAINRESEARCH,THISSTUDYWASAIMEDATFINDINGOUTWHICHCONCERNINGPOINTOFSOCIALISSUESATTRACTEDMOSTATTENTIONOFCOLLEGESTUDENTSBYMEANSOFDOINGSURVEYTWOHUNDREDTENCOLLEGESTUDENTSACCEPTEDTHESURVEY,INCLUDING107MALESAND103FEMALESTHEMEANAGEWAS2032YEARSTWOHUNDREDTENPARTICIPANTSRECEIVEDQUESTIONNAIRESONEHUNDREDNINETYQUESTIONNAIRESWERERETURNEDANDTHESEQUESTIONNAIRESWEREVALIDTHEEFFECTIVERATEWAS9048PERCENTSTATISTICALDATAABOUTCONCERNINGPERSPECTIVEOFCOLLEGESTUDENTSSHOWEDTHAT,BYCOMPARISON,EMOTIONALASPECTSSUCHASFAMILYANDFRIENDSWEREMORECONCERNEDTHANENVIRONMENTALPROTECTION,WHENTALKINGABOUTSOCIALISSUESACCORDINGLY,RELATIVESANDFRIENDSWERETREATEDASSTRONGVIEWASPECTSANDTHEENVIRONMENTWASAWEAKPOINTOFVIEWONTHEBASICOFDATAGAINEDBEFORE,QUESTIONNAIRESWEREMADEAFTERWARDSPURPOSEOFTHERESEARCHTOEXPLOREPROCESSINGMETHODSOFHERDINGINPUBLICOPINION,THISRESEARCHMANIPULATEDVARIABLESINCLUDINGSOURCESOFINFORMATIONANDCONCERNINGDEGREEOFTOPICSINADDITION,SURVEYANDDATAANALYSISWEREUSEDINORDERTOEXPLOREINFLUENCINGFACTORSINHERDINGSUBJECTSONEHUNDREDNINETYCOLLEGESTUDENTSWERESUBJECTS,INCLUDING111MALESAND79FEMALESTHEMEANAGEWAS2135MATERIALSNEWSNETIZENSGRABBEDREDENVELOPEONWECHATONNEWYEAR’SEVEANDSIMULATEDSCENARIOSWITH2SORTSOFOPINIONSON4TYPESOFQUESTIONNAIRESRESEARCHDESIGNTHEFIRSTPARTOFQUESTIONNAIREUSING2SOURCENETIZENSOREXPERTS2CONCERNINGPOINTSTRONG,WEAKBETWEENSUBJECTDESIGN200SUBJECTSWEREDIVIDEDINTOFOURGROUPSINORDERTOEXPLOREWHICHCOMBINATIONWASEASIERTOCHANGEPEOPLE’SPERSPECTIVE,INTHEFIRSTPARTOFTHEQUESTIONNAIRE,THESTUDYFIRSTINVESTIGATEDTHE
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    • 簡介:此文檔是畢業(yè)設(shè)計(jì)外文翻譯成品(含英文原文中文翻譯),無需調(diào)整復(fù)雜的格式下載之后直接可用,方便快捷本文價(jià)格不貴,也就幾十塊錢一輩子也就一次的事外文標(biāo)題DESIGNOFINTELLIGENTSTREETLIGHTMONITORINGSYSTEMBASEDONSTM32外文作者M(jìn)EIHUAXU,YUJIEZHANG,GUOQINWANG文獻(xiàn)出處2018IEEESYMPOSIUMONELECTRICALWIRELESSTRANSCEIVERSTREETLIGHTGPRSIINTRODUCTIONWITHGLOBALINCREASINGPRESSUREONRESOURCESANDENVIRONMENT,THESOCIALREQUESTONENVIRONMENTPROTECTION,ENERGYSAVINGANDEMISSIONREDUCTION,SUSTAINABLEDEVELOPMENTISINCREASINGDAYBYDAYTHECHINESEGOVERNMENTISTRYINGTOFINDANEWWAYTOENJOYABETTERRETURN,LOWEREMISSION,BETTERSUSTAINABLEANDLOWERCOSTSTREETLIGHTANDCONTROLTHESTREETLIGHTACCORDINGTOTERMINALCONTROLFIG1SHOWSTHEOVERALLFRAMEOFTHEINTELLIGENTSTREETLIGHTMONITORINGSYSTEMTHISSYSTEMCONTAINSUPTO100GROUPSOFCONTROLNETWORKS,ANDEACHGROUPOFCONTROLNETWORKHASUTMOST100TERMINALNODESINTHEENDOFEACHGROUPOFCONTROLNETWORK,THEREISASPECIALNODECALLSTRANSITIONNODE,WHENISINSTALLEDONTHESTREETLIGHTANDCONTAINSAGSM/GPRSMODULEINORDERTOCOMMUNICATEWITHTHETERMINALNODEANDTHESINKNODETHETERMINALNODEISALSOINSTALLEDONTHESTREETLIGHTBECAUSETHERESNODISTANCELIMITATIONWHENUSINGGSM/GPRS,THISSYSTEMCANACHIEVETHEREMOTEMONITOROFSTREETLIGHTWITHLONGERDISTANCEANDLARGERSCALESTHISSYSTEMCANPROVIDEAREALTIMEPICTUREOFTHEWHOLESTREETLIGHTNETWORKFORTHEWORKERSINTHECONTROLCENTERINORDERTOMANAGERTHESYSTEMEASILYONCETHEDATAMEASUREDBECOMESABNORMAL,UNDERSUCHCIRCUMSTANCEASHIGHTEMPERATURE,HIGHHUMIDITY,HIGHVOLTAGE,THESYSTEMWILLALARMAUTOMATICALLYANDINFORMENGINEERSATONCE,ORSHUTDOWNTOPROTECTTHESTREETLIGHTITSELFMOREOVER,THECENTERCANCONTROLTHESTREETLIGHTSBASEDONTHEDATAMEASUREDFOREXAMPLE,THELIGHTWILLBEOFFAUTOMATICALLYINTHEMORNINGONWHENINTHEDARKDAYORRAINYDAYTHECONTROLCENTERCANTUMONEVERYOTHERSTREETLIGHTORTHESTREETLIGHTSONEITHERSIDEINADDITION,THEDATAMEASUREDCANBESAVEDINTHEDATABASEINTHECONTROLCENTERANDBEREADORRESEARCHEDANYTIMETOIMPROVETHECONTROLOFSTREETLIGHTTHEWHOLESYSTEMCONTAINS3KINDSOFNODESTHEYARETERMINALNODE,TRANSITIONNODEANDSINKNODETHESTRUCTUREOFTHEMWILLBEINTRODUCEDINTHENEXTSECTIONBHARDWARESTRUCTUREOFTHETERMINALNODEFIG2SHOWSTHEHARDWARESTRUCTUREOFTHETERMINALNODETHETERMINALNODEISMAINLY
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    • 簡介:此文檔是畢業(yè)設(shè)計(jì)外文翻譯成品(含英文原文中文翻譯),無需調(diào)整復(fù)雜的格式下載之后直接可用,方便快捷本文價(jià)格不貴,也就幾十塊錢一輩子也就一次的事外文標(biāo)題INTRODUCTIONSOFPLCANDMCU外文作者SUNITACHANDRASEKARAN文獻(xiàn)出處2018IEEEINTERNATIONALPARALLELDISTRIBUTEDPROCESSINGSYMPOSIUMWORKSHOPS如覺得年份太老,可改為近2年,畢竟很多畢業(yè)生都這樣做英文1357單詞,8022字符字符就是印刷符,中文2327漢字。(如果字?jǐn)?shù)多了,可自行刪減,大多數(shù)學(xué)校都是要求選取外文的一部分內(nèi)容進(jìn)行翻譯的。)INTRODUCTIONSOFPLCANDMCUAPLCISADEVICETHATWASINVENTEDTOREPLACETHENECESSARYSEQUENTIALRELAYCIRCUITSFORMACHINECONTROLTHEPLCWORKSBYLOOKINGATITSINPUTSANDDEPENDINGUPONTHEIRSTATE,TURNINGON/OFFITSOUTPUTSTHEUSERENTERSAPROGRAM,USUALLYVIASOFTWAREORPROGRAMMERTHATGIVESTHEDESIREDRESULTSPLCAREUSEDINMANY“REALWORLD”APPLICATIONSIFTHEREISINDUSTRYPRESENT,CHANCESAREGOODTHATTHEREISAPLCPRESENTIFYOUAREINVOLVEDINMACHINING,PACKAGING,MATERIALHANDLING,AUTOMATEDASSEMBLYORCOUNTLESSOTHERINDUSTRIES,YOUAREPROBABLYALREADYUSINGTHEMIFYOUARENOT,YOUAREWASTINGMONEYANDTIMEALMOSTANYAPPLICATIONTHATNEEDSSOMETYPEOFELECTRICALCONTROLHASNEEDFORPLCFOREXAMPLE,LET’SASSUMETHATWHENASWITCHTURNSONWEWANTTOTURNASOLENOIDONFOR5SECONDSANDTHENTURNITOFFREGARDLESSOFHOWLONGTHESWITCHISONFORWECANDOTHISWITHASIMPLEEXTERNALTIMERWHATIFTHEPROCESSALSONEEDEDTOCOUNTHOWMANYTIMESTHESWITCHINDIVIDUALLYTURNEDONWENEEDALOTOFEXTERNALCOUNTERSASYOUCANSEE,THEBIGGERTHEPROCESSTHEMOREOFANEEDWEHAVEFORAPLCWECANSIMPLYPROGRAMTHEPLCTOCOUNTITSINPUTSANDTURNTHESOLENOIDSONFORTHESPECIFIEDTIMEWEWILLTAKEALOOKATWHATISCONSIDEREDTOBETHE“TOP20”PLCINSTRUCTIONSITCANBESAFELYESTIMATEDTHATWITHAFIRMUNDERSTANDINGOFTHEREINSTRUCTIONSONECANSOLVEMORETHAN80OFTHEAPPLICATIONSINEXISTENCETHAT‘SRIGHT,MORETHAN80OFCOURSEWE’LLLEARNMORETHANJUSTTHESEINSTRUCTIONSTOHELPYOUSOLVEALMOSTALLYOURPOTENTIALPLCAPPLICATIONSTHEPLCMAINLYCONSISTSOFACPU,MEMORYAREAS,ANDAPPROPRIATECIRCUITSTORECEIVEINPUT/OUTPUTDATA,ASSHOWNINFIG191WECANACTUALLYCONSIDERTHEPLCTOTYPICALLYTHEOTHERSARECHECKINGTHESYSTEMANDUPDATINGTHECURRENTANDTIMERVALUESSTEP1CHECKINPUTSTATUSFIRSTTHEPLCTAKESALOOKATEACHINPUTTODETERMINEIFITISONOROFFINOTHERWORDS,ISTHESENSORCONNECTEDTOTHEFIRSTINPUTONHOWABOUTTHESECONDINPUTHOWABOUTTHETHIRDITRECORDSTHISDATAINTOITSMEMORYTOBEUSEDDURINGTHENEXTSTEPSTEP2EXECUTEPROGRAMNEXTTHEPLCEXECUTESYOURPROGRAMONEINSTRUCTIONATATIMEMAYBEYOURPROGRAMSAIDTHATIFTHEFIRSTINPUTWASONTHENITSHOULDTURNONTHEFIRSTOUTPUTSINCEISALREADYKNOWSWHICHINPUTSAREON/OFFFROMTHEPREVIOUSSTEP,ITWILLBEABLETODECIDEWHETHERTHEFIRSTOUTPUTSHOULDBETURNEDONBASEDONTHESTATEOFTHEFIRSTINPUTITWILLSTORETHEEXECUTIONRESULTSFORUSELATERDURINGTHENEXTSTEPSTEP3UPDATEOUTPUTSTSTUSFINALLYTHEPLCUPDATESTHESTATUSOFOUTPUTSITUPDATESTHEOUTPUTSBASEDONWHICHINPUTSWEREONDURINGTHEFIRSTSTEPANDTHERESULTSOFEXECUTINGYOURPROGRAMDURINGTHESECONDSTEPBASEDONTHEEXAMPLEINSTEP2ITWOULDNOWTURNONTHEFIRSTOUTPUTBECAUSETHEFIRSTINPUTWASONANDYOURPROGRAMSAIDTOTURNONTHEFIRSTOUTPUTWHENTHISCONDITIONISTRUEAFTERTHETHIRDSTEPTHEPLCGOESBACKTOSTEPONEANDREPEATSTHESTEPSCONTINUOUSLYONESCANTIMEISDEFINEDASTHETIMEISTAKESTOEXECUTETHE3STEPSLISTEDABOVETHUSAPRACTICALSYSTEMISCONTROLLEDTOPERFORMSPECIFIEDOPERATIONSASDESIREDTHEAT89S52ISALOWPOWER,HIGHPERFORMANCECMOS8BITMICROCONTROLLERWITH8KBYTESOFINSYSTEMPROGRAMMABLEFLASHMEMORYTHEDEVICEISMANUFACTUREDUSINGATMEL’SHIGHDENSITYNONVOLATILEMEMORYTECHNOLOGYANDISCOMPATIBLEWITHTHEINDUSTRYSTANDARD80C51INSTRUCTIONSETANDPINOUTTHEONCHIPFLASHALLOWSTHEPROGRAMMEMORYTOBEREPROGRAMMEDINSYSTEMORBYACONVENTIONALNONVOLATILEMEMORYPROGRAMMERBYCOMBININGAVERSATILE8BITCPUWITHINSYSTEMPROGRAMMABLEFLASHONAMONOLITHICCHIP,THEATMELAT89S52ISAPOWERFULMICROCONTROLLERWHICHPROVIDESAHIGHLYFLEXIBLEANDCOSTEFFECTIVESOLUTIONTOMANYEMBEDDEDCONTROLAPPLICATIONSTHEAT89S52PROVIDESTHEFOLLOWINGSTANDARDFEATURES8KBYTESOFFLASH,256BYTESOFRAM,32I/OLINES,WATCHDOGTIMER,TWODATAPOINTERS,THREE16BITTIMER/COUNTERS,ASIXVECTORTWOLEVELINTERRUPTARCHITECTURE,AFULLDUPLEXSERIALPORT,ONCHIPOSCILLATOR,ANDCLOCKCIRCUITRYINADDITION,THEAT89S52ISDESIGNEDWITH
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    • 簡介:ROBUSTANALYSISOFFEATURESPACESCOLORIMAGESEGMENTATIONDORINCOMANICIUPETERMEERDEPARTMENTOFELECTRICALANDCOMPUTERENGINEERINGRUTGERSUNIVERSITY,PISCATAWAY,NJ08855,USACOMANICICAIPRUTGERSEDUABSTRACTAGENERALTECHNIQUEFORTHERECOVERYOFSIGNIFICANTIMAGEFEATURESISPRESENTEDTHETECHNIQUEISBASEDONTHEMEANSHIFTALGORITHM,ASIMPLENONPARAMETRICPROCEDUREFORESTIMATINGDENSITYGRADIENTSDRAWBACKSOFTHECURRENTMETHODSINCLUDINGROBUSTCLUSTERINGAREAVOIDEDFEATURESPACEOFANYNATURECANBEPROCESSED,ANDASANEXAMPLE,COLORIMAGESEGMENTATIONISDISCUSSEDTHESEGMENTATIONISCOMPLETELYAUTONOMOUS,ONLYITSCLASSISCHOSENBYTHEUSELTHUS,THESAMEPROGRAMCANPRODUCEAHIGHQUALITYEDGEIMAGE,ORPROVIDE,BYEXTRACTINGALLTHESIGNIFICANTCOLORS,APREPROCESSORFORCONTENTBASEDQUERYSYSTEMSA512X512COLORIMAGEISANALYZEDINLESSTHAN10SECONDSONASTANDARDWORKSTATIONGRAYLEVELIMAGESAREHANDLEDASCOLORIMAGESHAVINGONLYTHELIGHTNESSCOORDINATE1INTRODUCTIONFEATURESPACEANALYSISISAWIDELYUSEDTOOLFORSOLVINGLOWLEVELIMAGEUNDERSTANDINGTASKSGIVENANIMAGE,FEATUREVECTORSAREEXTRACTEDFROMLOCALNEIGHBORHOODSANDMAPPEDINTOTHESPACESPANNEDBYTHEIRCOMPONENTSSIGNIFICANTFEATURESINTHEIMAGETHENCORRESPONDTOHIGHDENSITYREGIONSINTHISSPACEFEATURESPACEANALYSISISTHEPROCEDUREOFRECOVERINGTHECENTERSOFTHEHIGHDENSITYREGIONS,IE,THEREPRESENTATIONSOFTHESIGNIFICANTIMAGEFEATURESHISTOGRAMBASEDTECHNIQUES,HOUGHTRANSFORMAREEXAMPLESOFTHEAPPROACHTOAVOIDTHEARTIFACTSOFQUANTIZATIONAFEATURESPACESHOULDHAVEACONTINUOUSCOORDINATESYSTEMTHECONTENTOFACONTINUOUSFEATURESPACECANBEMODELEDASASAMPLEFROMAMULTIVARIATE,MULTIMODALPROBABILITYDISTRIBUTIONTHEHIGHESTDENSITYREGIONSCORRESPONDTOCLUSTERSCENTEREDONTHEMODESOFTHEUNDERLYINGPROBABILITYDISTRIBUTIONTRADITIONALCLUSTERINGTECHNIQUES5,CANBEUSEDBUTTHEYARERELIABLEONLYIFTHENUMBEROFCLUSTERSISSMALLANDKNOWNAPRIORITHEREISNOTHEORETICALEVIDENCETHATINDIVIDUALCLUSTERSOBEYMULTIVARIATENORMALDISTRIBUTIONSANDANEXTRACTEDNORMALCLUSTERNECESSARILYCORRESPONDSTOASIGNIFICANTIMAGEFEATUREONTHECONTRARY,ASTRONGARTIFACTCLUSTERMAYAPPEARWHENSEVERALFEATURESAREMAPPEDINTOPARTIALLYOVERLAPPINGREGIONSMEERCAIPRUTGERSEDUNONPARAMETRICDENSITYESTIMATION4,CHAP61AVOIDSTHEUSEOFTHENORMALITYASSUMPTION,HOWEVERITREQUIRESADDITIONALINPUTINFORMATIONTYPEOFTHEKERNEL,NUMBEROFNEIGHBORSTHISINFORMATIONMUSTBEPROVIDEDBYTHEUSER,ANDFORMULTIMODALDISTRIBUTIONSITISDIFFICULTTOGUESSTHEOPTIMALSETTINGNEVERTHELESS,ARELIABLEGENERALTECHNIQUEFORFEATURESPACEANALYSISCANBEDEVELOPEDUSINGASIMPLENONPARAMETRICDENSITYESTIMATIONALGORITHMINTHISPAPERWEPROPOSESUCHATECHNIQUEWHOSEROBUSTBEHAVIORISSUPERIORTOMETHODSEMPLOYINGROBUSTESTIMATORSFROMSTATISTICS2REQUIREMENTSFORROBUSTNESSESTIMATIONOFACLUSTERCENTERISCALLEDINSTATISTICSTHEMULTIVARIATELOCATIONPROBLEMTOBEROBUST,ANESTIMATORMUSTTOLERATEAPERCENTAGEOFOUTLIERS,IE,DATAPOINTSNOTOBEYINGTHEUNDERLYINGDISTRIBUTIONOFTHECLUSTERNUMEROUSROBUSTTECHNIQUESWEREPROPOSED9,SEC711,ANDINCOMPUTERVISIONTHEMOSTWIDELYUSEDISTHEMINIMUMVOLUMEELLIPSOIDWEESTIMATORPROPOSEDBYROUSSEEUW9BASEDONMVE,AROBUSTCLUSTERINGTECHNIQUEWITHAPPLICATIONSINCOMPUTERVISIONWASPROPOSEDIN6THENUMBEROFSIGNIFICANTCLUSTERSWASNOTNEEDEDAPRIORITHEROBUSTCLUSTERINGMETHODWASSUCCESSFULLYEMPLOYEDFORTHEANALYSISOFALARGEVARIETYOFFEATURESPACES,BUTWASFOUNDTOBECOMELESSRELIABLEONCETHENUMBEROFMODESEXCEEDEDTENTHISISMAINLYDUETOCONSTRAININGTHESHAPEOFTHEREMOVEDCLUSTERSTOBEELLIPTICALFURTHERMORE,THEESTIMATEDCOVARIANCEMATRICESTHESHAPEPARAMETERSOFTHEELLIPSOIDSARENOTRELIABLESINCEAREBASEDONONLYP1POINTSTOBEABLETOCORRECTLYRECOVERALARGENUMBEROFSIGNIFICANTFEATURES,THEPROBLEMOFFEATURESPACEANALYSISMUSTBESOLVEDINCONTEXTINIMAGEUNDERSTANDINGTASKSTHEDATATOBEANALYZEDORIGINATESINTHEIMAGEDOMAINTHATIS,THEFEATUREVECTORSSATISFYADDITIONAL,SPATIALCONSTRAINTSWHILETHESECONSTRAINTSAREINDEEDUSEDINTHECURRENTTECHNIQUES,THEIRROLEISMOSTLYLIMITEDTOCOMPENSATINGFORFEATUREALLOCATIONERRORSMADEDURINGTHEINDEPENDENTANALYSISOFTHEFEATURESPACETOBEROBUSTTHEFEATURESPACEANALYSISMUSTFULLYEXPLOITTHEIMAGEDOMAININFORMATIONASACONSEQUENCEOFTHEINCREASEDROLEOFIMAGEDOMAININFORMATIONTHEBURDENONTHEFEATURESPACEANALYSISCANBEREDUCEDFIRSTALLTHESIGNIFICANTFEATURESAREEXTRACTED,AND10636919/97100001997IEEE75001741ISSHOWNWITHASTARATTHETOPOFFIGURE1OTHER,MOREADAPTIVESTRATEGIESFORSETTINGTHESEARCHWINDOWSIZECANALSOBEDEFINEDTHEMEANSHIFTALGORITHMISTHETOOLNEEDEDFORFEATURESPACEANALYSISTHEOUTLINEOFAGENERALPROCEDUREISGIVENBELOWFEATURESPACEANALYSIS1MAPTHEIMAGEDOMAININTOTHEFEATURESPACE2DEFINEANADEQUATENUMBEROFSEARCHWINDOWSATRAN3FINDTHEHIGHDENSITYREGIONCENTERSBYAPPLYINGTHE4VALIDATETHEEXTRACTEDCENTERSWITHIMAGEDOMAINCON5ALLOCATE,USINGIMAGEDOMAININFORMATION,ALLTHEFEATHEPROCEDUREISVERYGENERALANDAPPLICABLETOANYFEATURESPACEINTHENEXTSECTIONWEDESCRIBEACOLORIMAGESEGMENTATIONTECHNIQUEDEVELOPEDBASEDONTHISOUTLINEDOMLOCATIONSINTHESPACEMEANSHIFTALGORITHMTOEACHWINDOWSTRAINTSTOPROVIDETHEFEATUREPALETTETUREVECTORSTOTHEFEATUREPALETTE4COLORIMAGESEGMENTATIONIMAGESEGMENTATION,PARTIONINGTHEIMAGEINTOHOMOGENEOUSREGIONS,ISACHALLENGINGTASKTHERICHNESSOFVISUALINFORMATIONMAKESBOTTOMUP,SOLELYIMAGEDRIVENAPPROACHESALWAYSPRONETOERRORSTOBERELIABLE,THECURRENTSYSTEMSMUSTBELARGEANDINCORPORATENUMEROUSADHOCPROCEDURES,EGLTHEPARADIGMSOFGRAYLEVELIMAGESEGMENTATIONPIXELBASED,AREABASED,EDGEBASEDAREALSOUSEDFORCOLORIMAGESINADDITION,THEPHYSICSBASEDMETHODSTAKEINTOACCOUNTINFORMATIONABOUTTHEIMAGEFORMATIONPROCESSESASWELL7THEPROPOSEDSEGMENTATIONTECHNIQUEDOESNOTCONSIDERTHEPHYSICALPROCESSES,ITUSESONLYTHEGIVENIMAGE,IE,ASETOFRGBVECTORSNEVERTHELESS,CANBEEASILYEXTENDEDTOINCORPORATESUPPLEMENTARYINFORMATIONABOUTTHEINPUTSINCEPERFECTSEGMENTATIONCANNOTBEACHIEVEDWITHOUTATOPDOWN,KNOWLEDGEDRIVENCOMPONENT,ABOTTOMUPSEGMENTATIONTECHNIQUESHOULDEONLYPROVIDETHEINPUTINTOTHENEXTSTAGEWHERETHETASKISACCOMPLISHEDUSINGAPRIORIKNOWLEDGEABOUTITSGOALAND0ELIMINATE,ASMUCHASPOSSIBLE,THEDEPENDENCEONUSERSETPARAMETERVALUESSEGMENTATIONRESOLUTIONISTHEMOSTGENERALPARAMETERCHARACTERIZINGASEGMENTATIONTECHNIQUEWHILETHISPARAMETERHASACONTINUOUSSCALE,THREEIMPORTANTCLASSESCANBEDISTINGUISHEDUNDERSEGMENTATIONCORRESPONDSTOTHELOWESTRESOLUTIONHOMOGENEITYISDEFINEDWITHALARGETOLERANCEMARGINANDONLYTHEMOSTSIGNIFICANTCOLORSARERETAINEDFORTHEFEATUREPALETTETHEREGIONBOUNDARIESINACORRECTLYUNDERSEGMENTEDIMAGEARETHEDOMINANTEDGESINTHEIMAGEOVERSEGMENTATIONCORRESPONDSTOINTERMEDIATERESOLUTIONTHEFEATUREPALETTEISRICHENOUGHTHATTHEIMAGEISBROKENINTOMANYSMALLREGIONSFROMWHICHANYSOUGHTINFORMATIONCANBEASSEMBLEDUNDERKNOWLEDGECONTROLOVERSEGMENTATIONISTHERECOMMENDEDCLASSWHENTHEGOALOFTHETASKISOBJECTRECOGNITIONQUANTIZATIONCORRESPONDSTOTHEHIGHESTRESOLUTIONTHEFEATUREPALETTECONTAINSALLTHEIMPORTANTCOLORSINTHEIMAGETHISSEGMENTATIONCLASSBECAMEIMPORTANTWITHTHESPREADOFIMAGEDATABASES,EG,3,81THEFULLPALETTE,POSSIBLYTOGETHERWITHTHEUNDERLYINGSPATIALSTRUCTURE,ISESSENTIALFORCONTENTBASEDQUERIESTHEPROPOSEDCOLORSEGMENTATIONTECHNIQUEOPERATESINANYOFTHETHESETHREECLASSESTHEUSERONLYCHOOSESTHEDESIREDCLASS,THESPECIFICOPERATINGCONDITIONSAREDERIVEDAUTOMATICALLYBYTHEPROGRAMIMAGESAREUSUALLYSTOREDANDDISPLAYEDINTHERGBSPACEHOWEVER,TOENSURETHEISOTROPYOFTHEFEATURESPACE,AUNIFORMCOLORSPACEWITHTHEPERCEIVEDCOLORDIFFERENCESMEASUREDBYEUCLIDEANDISTANCESSHOULDBEUSEDWEHAVECHOSENTHELUVSPACELO,SEC3391,WHOSECOORDINATESARERELATEDTOTHERGBVALUESBYNONLINEARTRANSFORMATIONSTHEDAYLIGHTSTANDARDD65WASUSEDASREFERENCEILLUMINANTTHECHROMATICINFORMATIONISCARRIEDBYUANDU,WHILETHELIGHTNESSCOORDINATELCANBEREGARDEDASTHERELATIVEBRIGHTNESSPSYCHOPHYSICALEXPERIMENTSSHOWTHATLUVSPACEMAYNOTBEPERFECTLYISOTROPICLO,P3111,HOWEVER,ITWASFOUNDSATISFACTORYFORIMAGEUNDERSTANDINGAPPLICATIONSTHEIMAGECAPTURE/DISPLAYOPERATIONSALSOINTRODUCEDEVIATIONSWHICHAREMOSTOFTENNEGLECTEDTHESTEPSOFCOLORIMAGESEGMENTATIONAREPRESENTEDBELOWTHEACRONYMSIDANDFSSTANDFORIMAGEDOMAINANDFEATURESPACERESPECTIVELYALLFEATURESPACECOMPUTATIONSAREPERFORMEDINTHELUVSPACE1FSDEJINITIONOFTHESEGMENTATIONPARAMETERSTHEUSERONLYINDICATESTHEDESIREDCLASSOFSEGMENTATIONTHECLASSDEFINITIONISTRANSLATEDINTOTHREEPARAMETERS0THERADIUSOFTHESEARCHWINDOW,RETHESMALLESTNUMBEROFELEMENTSREQUIREDFORASIGNIFI0THESMALLESTNUMBEROFCONTIGUOUSPIXELSREQUIREDFORTHESIZEOFTHESEARCHWINDOWDETERMINESTHERESOLUTIONOFTHESEGMENTATION,SMALLERVALUESCORRESPONDINGTOHIGHERRESOLUTIONSWITHINTHESAMESEGMENTATIONCLASSANIMAGECONTAININGLARGEHOMOGENEOUSREGIONSSHOULDBEANALYZEDATHIGHERRESOLUTIONTHANANIMAGEWITHMANYTEXTUREDAREASTHESIMPLESTMEASUREOFTHE“VISUALACTIVITY”CANBEDERIVEDFROMTHEGLOBALCOVARIANCEMATRIXTHESQUAREROOTOFITSTRACE,0,ISRELATEDTOTHEPOWEROFTHESIGNALIMAGETHERADIUSRISTAKENPROPORTIONALTO0THERULESDEFININGTHETHREESEGMENTATIONCLASSPARAMETERSAREGIVENINTABLE1CANTCOLOR,“INASIGNIFICANTIMAGEREGION,N,,,752
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