簡(jiǎn)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(wú)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(qián)一輩子也就一次的事外文標(biāo)題RESEARCHONCULTURALANDCREATIVEPRODUCTDESIGNOFTOURISMBASEDONREGIONALCULTURETAKINGCHENGDUCULTUREINSICHUANASANEXAMPLE外文作者RUIHANZHANG文獻(xiàn)出處20182NDINTERNATIONALCONFERENCEONEDUCATIONINNOVATIONANDECONOMICMANAGEMENTEIEM2018如覺(jué)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3113單詞，19568字符字符就是印刷符，中文4648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。）RESEARCHONCULTURALANDCREATIVEPRODUCTDESIGNOFTOURISMBASEDONREGIONALCULTURETAKINGCHENGDUCULTUREINSICHUANASANEXAMPLEKEYWORDSCHENGDUCULTURE,CULTURALANDCREATIVEPRODUCTSOFTOURISM,REGIONALRESEARCH,VISUALELEMENTSABSTRACTTHEPURPOSEOFTHISPAPERISTOSTUDYTHECULTURALANDCREATIVEPRODUCTSOFTOURISMUNDERTHEREGIONALANDCULTURALBACKGROUNDOFCHENGDUITDISCUSSESTHEHISTORICALFORMANDDEVELOPMENTSTATUSOFTHECULTURALANDCREATIVEPRODUCTSOFTOURISMOFCHENGDU,ANALYZESTHEARTISTICCHARACTERISTICSOFITSVISUALELEMENTS,ANDPROBESINTOTHEREGIONALCHARACTERISTICSOFTHECULTURALANDCREATIVEPRODUCTSOFTOURISMUNDERTHECHENGDUCONTEXTFROMTHEPERSPECTIVEOFREGIONALCULTURE,ARTDESIGNANDSEMIOTICSOFPRODUCTSISTHETYPICALCATERINGCULTUREOFSICHUANINSOMETOURISTAREAS,SOMESTORESWILLDECORATETHEIRSHOPSWITHSPECIALFEATURESANDATTRACTCONSUMERSATLOWPRICESHOWEVER,DUETOTHEINFLUENCEOFECOMMERCEPLATFORM,SALESONTHEINTERNETANDOTHERFACTORSINRECENTYEARS,ALLKINDSOFAGRICULTURALANDSIDELINEFOOD,SPECIALFLAVORARENOLONGERCONFINEDTOSALETOPHYSICALSTORESTHEREAREPLENTYOFLOCALSPECIALTIESONTHEINTERNETPLATFORM,WHICHLEADSTOTHATTHESALESOFTOURISTPRODUCTSAREBECOMINGINCREASINGLYLOWINCHENGDU,SICHUANANDEVENTHEWHOLECOUNTRYWHENTHETRENDOFOUTBOUNDTRAVELISINCREASINGLYHOTYEARBYYEAR,TOURISTSINDEVELOPEDAREASSUCHASEUROPEAREGENERALLYINTERESTEDINPURCHASINGLIFEINDUSTRIALPRODUCTS,INCLUDINGCOSMETICS,CLOTHING,SHOES,BAGS,ELECTRONICPRODUCTS,ANDSOONTHECHANGINGTRENDOFTOURISTCONSUMPTIONHASALSOLEDTOTHELOSSOFTHEORIGINALMEANINGOFTHELOCALSPECIALTYITISBOUNDTOLEADTOTHETRANSFORMATIONOFTOURISMPRODUCTSTRUCTUREUNDERTHEINFLUENCEOFTHEGLOBALCONSUMPTIONTREND,ANDTHECOMMODITYMARKETINCHENGDUHASGRADUALLYTRANSFORMEDFROMSOUVENIRS,AGRICULTURALANDSIDELINESPECIALTIESTOALLKINDSOFLARGETOURISMCOMMODITIESINAPRIL2017,THE13THPARTYCONGRESSOFCHENGDUPROPOSEDTOSTRENGTHENTHEFUNCTIONOF“FIVECENTERS,ONEHUB”TOBUILDANATIONALCENTRALCITYWHICHFULLYREFLECTSTHENEWDEVELOPMENTCONCEPT,INCLUDINGBUILDINGATOURISTDESTINATIONWITHINTERNATIONALINFLUENCE,COMPREHENSIVELYENHANCINGTHECOMPETITIVENESSOFCULTURALANDCREATIVEINDUSTRIES,ANDPROMOTINGTHEDEVELOPMENTOF“CULTURALCREATIVITYTOURISM”AND“CULTURALCOMMERCIAL”MODELCHENGDUWILLBEBUILTASACREATIVECITYTHATISTHEFIRSTCLASSCITYINCHINAANDNO1INTHEWESTMOREEMPHASISHASBEENPLACEDONTHEJOINFORCESOFCULTURALANDCREATIVEINDUSTRIESONTHEPROMOTIONANDCREATIONOFTOURISMPRODUCTSACCORDINGTO“BIGDATAOFCHENGDUCULTURE“,ATTENTIONOFCULTURALCREATIVITYINCHENGDUHASOVERWHELMEDBEIJING,SHANGHAI,GUANGZHOU,TIANJINANDCHONGQINGBY2724SINCE2017,RANKINGFIRSTAMONGTHESIXMAJORNATIONALCENTRALCITIESTHE“CULTURALCREATIVITY”HASBECOMEANEWLABELOFCHENGDUTOURISMITHASDEVELOPEDRAPIDLYINTHEDESIGNOFTOURISMPRODUCTS,THEPRODUCTSPROMOTIONOFCREATIVEBOOKSTORESANDTHEDEVELOPMENTOFCULTURALANDCREATIVEPRODUCTSOFMUSEUMCHENGDUISMAKINGFULLUSEOFTOURISMPRODUCTSTOCREATEGLOBALTOURISMCONSUMPTIONANDBUILDANEWIPOFCHENGDUCULTURESYNCHRONICRESEARCHMORPHOLOGICALANALYSISOFTHEVISUALARTSOFCULTURALANDCREATIVEPRODUCTSOFCHENGDUTOURISMMORPHOLOGYOFGRAPHICSANDIMAGES

簡(jiǎn)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(wú)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(qián)一輩子也就一次的事外文標(biāo)題ACLOUDBASEDLEARNINGSYSTEMFORJAVAPROGRAMMINGCLASS外文作者HAYATOTSUKIJI,TAKAYUKIKASAI,MIZUKIKUMADA,ANDKOSUKETAKANO文獻(xiàn)出處2018INTERNATIONALCONFERENCEONKNOWLEDGECREATIONANDINTELLIGENTCOMPUTINGKCIC如覺(jué)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2605單詞，15522字符字符就是印刷符，中文4024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。）ACLOUDBASEDLEARNINGSYSTEMFORJAVAPROGRAMMINGCLASSABSTRACTWITHTHEADVANCEOFTHECLOUDCOMPUTINGTECHNOLOGY,ONLINEPROGRAMMINGSERVICESTHATCANBEAVAILABLETHROUGHAWEBBROWSERHAVEBEENWIDELYSPREADINAPROGRAMMINGCLASS,ATEACHERCANEFFICIENTLYMANAGEEACHSTUDENTS’PROGRESSBYINTRODUCINGSUCHANONLINEPROGRAMMINGSERVICETOTHESTUDENTSINTHISSTUDY,WEDESIGNANDIMPLEMENTACLOUDBASEDJAVALEARNINGSYSTEMFOREFFECTIVELYTEACHINGJAVAPROGRAMMINGSKILLSTOSTUDENTSINACLASSOURPROPOSEDJAVAPROGRAMMINGLEARNINGSYSTEMPROVIDESAFUNCTIONOFCLASSIFYINGSTUDENTSINTOSOMEGROUPSBASEDONTHESIMILARITYOFCOMPILE/RUNTIMEERRORSOFJAVAPROGRAMSOTHATATEACHERCANGRASPINDIVIDUALSTUDENTS’PROGRESSFORJAVAPROGRAMMINGEXERCISESINTHECLASSINTHEEXPERIMENTUSINGOURPROTOTYPE,WEEVALUATEDTHEFEASIBILITYOFTHEPROPOSEDCLOUDBASEDJAVALEARNINGSYSTEMINTERMSOFTHECAPABILITYOFCLASSIFYINGSTUDENTSINTOSOMEGROUPSBASEDONTHESIMILARITYOFCOMPILE/RUNTIMEERRORSOFJAVAPROGRAMASWELLASTHEUSABILITYEVALUATIONKEYWORDSJAVAPROGRAMMINGONLINECOMPILERELEARNINGCLOUDCOMPUTINGIINTRODUCTIONWITHTHEADVANCEOFTHECLOUDCOMPUTINGTECHNOLOGY,ONLINEPROGRAMMINGSERVICESTHATCANBEAVAILABLETHROUGHAWEBBROWSERHAVEBEENWIDELYSPREADINAINTHEEXPERIMENTUSINGOURPROTOTYPE,WEEVALUATEDTHEFEASIBILITYOFTHEPROPOSEDCLOUDBASEDJAVALEARNINGSYSTEMINTERMSOFTHECAPABILITYOFCLASSIFYINGSTUDENTSINTOSOMEGROUPSBASEDONTHESIMILARITYOFCOMPILE/RUNTIMEERRORSOFJAVAPROGRAMASWELLASTHEUSABILITYEVALUATIONIIRELATEDWORKPRESENTLY,ITISEXPECTEDTODEVELOPANEWEDUCATIONALMETHODBASEDONTHEANALYSISOFTHEEDUCATIONALBIGDATATHATCANBEEXTRACTEDANDACCUMULATEDFROMELEARNINGHISTORIESOFINDIVIDUALSTUDENTSIN1,KUSANOETALPROPOSEAWEBBASEDSYSTEMTOSUPPORTAPROGRAMMINGLECTURETHATENABLESTEACHERSTOGIVEANADVICEACCORDINGTOTHESTUDENT’SPROGRESSBYBROWSINGSTUDENTS’LEARNINGHISTORIESINACLASSNOZAKIETALPROPOSEAMETHODOFSEQUENTIALPATTERNMININGSPECIALIZINGINTHEANALYSISOFPROGRAMMINGLEARNINGHISTORYFORCONDUCTINGEFFECTIVEAPROGRAMINGCLASSACCORDINGTOTHELEVELOFSTUDENT’SCOMPREHENSION2INADDITION,HOSHINOETALDISCUSSAPROGRAMMINGLEARNINGSUPPORTBASEDONTHESTUDENT’SINPUTFEATUREEXTRACTEDBYANALYZINGTHETIMESERIESINPUTPATTERNTHATAPPEARSWHENTHESTUDENTISWRITINGASOURCECODEFURTHERMORE,HAYAMIETALDEVELOPAWEBBASEDSQLLEARNINGSUPPORTSYSTEMFORIMPROVINGTHELEARNINGLEVELOFSQLBYEXECUTINGSQLACCORDINGTOATEXTBOOK,ANDINDICATESTHATTHEREISACORRELATIONBETWEENANUMBEROFSQLEXECUTIONSANDSTUDENT’SCOMPREHENSIONTOSQLBYANALYZINGSTUDENTS’LEARNINGLOGSANDTHEIRTESTSCORE4INCOMPARISONWITHTHESESTUDIES,THEPROPOSEDJAVALEARNINGSYSTEMALLOWSUSTOFINDSTUDENTSINASIMILARTROUBLEBYCLASSIFYINGTHEMINTOAGROUPBASEDONTHEWORKPROGRESSFOREACHQUESTIONANDERRORMESSAGESINCOMPILING/EXECUTINGSOURCECODESINAPROGRAMMINGCLASSTHISFEATUREOFTHEPROPOSEDSYSTEMENABLESTEACHERSANDTA/SATOEFFICIENTLYMANAGEAPROGRAMMINGCLASSWITHLIMITEDTIMEANDTEACHERRESOURCESIIIPROPOSEDSYSTEMASYSTEMARCHITECTURE

簡(jiǎn)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(wú)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(qián)一輩子也就一次的事外文標(biāo)題AREALTIMEVEHICLE’SLICENSEPLATERECOGNITIONSYSTEM外文作者CHOUDHURYARAHMAN,WAELBADAWY,AHMADRADMANESH文獻(xiàn)出處PROCEEDINGSOFTHEIEEECONFERENCEONADVANCEDVIDEOANDSIGNALBASEDSURVEILLANCE,2018如覺(jué)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2576單詞，15730字符字符就是印刷符，中文4171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。）AREALTIMEVEHICLE’SLICENSEPLATERECOGNITIONSYSTEMABSTRACTASMARTANDSIMPLEALGORITHMISPRESENTEDINTHISPAPERFORVEHICLE’SLICENSEPLATERECOGNITIONSYSTEMBASEDONPATTERNMATCHING,THISALGORITHMCANBEAPPLIEDFORREALTIMEDETECTIONOFLICENSEPLATESFORCOLLECTINGDATAFORSURVEYINGORFORSOMEAPPLICATIONSPECIFICPURPOSESTHEPROPOSEDSYSTEMHASBEENPROTOTYPEDUSINGCANDTHEEXPERIMENTALRESULTSHAVEBEENSHOWNFORRECOGNITIONOFALBERTALICENSEPLATES1INTRODUCTIONVEHICLE’SLICENSEPLATERECOGNITIONSYSTEMHASBEENASPECIALAREAOFINTERESTINVIDEOSURVEILLANCEARENAFORMORETHANADECADEORSOWITHTHEADVENTOFSOPHISTICATEDVIDEOVEHICLEDETECTIONSYSTEMSFORTRAFFICMANAGEMENTAPPLICATIONS,NUMBERPLATERECOGNITIONSYSTEMFINDSWIDEVARIETIESOFPLACESTOFITITSELFBEYONDJUSTCONTROLLINGACCESSTOATOLLCOLLECTIONPOINTORPARKINGLOTITCANNOWBEINTEGRATEDTOTHEVIDEOVEHICLEDETECTIONSYSTEMSWHICHUSUALLYAREINSTALLEDINPLACESOFINTERESTFORINTERSECTIONCONTROL,TRAFFICMONITORINGETC,TOIDENTIFYVEHICLETHATVIOLATESTRAFFICLAWSORTOFINDSTOLENVEHICLESTHEREAREANUMBEROFTECHNIQUESUSEDSOFARFORRECOGNITIONOFNUMBERPLATESSUCHASBAMBIDIRECTIONALASSOCIATIVEMEMORIESNEURALNETWORKCHARACTERRECOGNITION1,PATTERNMATCHING2ETCTHETECHNIQUEUSEDINTHEPROPOSEDSYSTEMISBASEDONPATTERNMATCHING,WHICHISFASTANDACCURATEALMOSTALLTHEALGORITHMSDEVELOPEDSOFARWORKBYFOLLOWINGSIMILARSTEPSSEVENGENERALPROCESSINGSTEPSHAVEBEENIDENTIFIEDASBEINGCOMMONTOALLNUMBERPLATERECOGNITIONALGORITHMS3THESEARETRIGGERTHISMAYBEHARDWAREORSOFTWARETRIGGERHARDWARETRIGGERISTHEOLDAPPROACHWHEREINDUCTIVELOOPISUSEDFORTRIGGERINGANDTHISTELLSWHENTHEIMAGESHOULDBECAPTUREDBYDETECTINGTHEPRESENCEOFVEHICLEHARDWARETRIGGERISNOWADAYSBEINGREPLACEDBYSOFTWARETRIGGERANDINOPERATIONALINMANYPLACESINSOFTWARETRIGGER,IMAGEISDIVIDEDINTOZONESANDBYIMAGEANALYSISTHEDETECTIONOFVEHICLESISPERFORMEDIMAGECAPTUREHARDWAREORSOFTWARETRIGGERACTIVATESTHEIMAGECAPTURINGDEVICETOCAPTUREANDSTOREIMAGEFORFURTHERANALYSISVEHICLE’SPRESENCETHISSTEPISNEEDEDONLYIFTRIGGERISDONEAFTERDEFINITETIMEINTERVALSWITHOUTKNOWINGTHATAVEHICLEISPRESENTINTHECAPTUREDIMAGETHISSTEPCOMPARESTHECAPTUREDIMAGEWITHTHEBACKGROUNDIMAGEANDDETECTSIFTHEREISANYSIGNIFICANTCHANGEIFNOT,THECAPTUREDIMAGEISJUSTIGNORED,OTHERWISEITMOVESTOTHENEXTSTEPFINDINGPLATETHISSTEPISFORLOCATINGTHENUMBERPLATEINTHECAPTUREDIMAGEANUMBEROFTECHNIQUESCANBEUSEDINTHISSTEPEGCOLORDETECTION4,SIGNATUREANALYSIS5,EDGEDETECTION6ETCANYTILTINTHECAPTUREDIMAGEISCORRECTEDINTHISSTEPONCETHENUMBERPLATEISLOCATEDTHEIMAGEISREADYFORCHARACTERRECOGNITIONCHARACTERSEGMENTATIONSEGMENTATIONCANBEDONEBYDETECTINGTHETRANSITIONFROMDARKTOLIGHTORFROMLIGHTTODARKLEVELEACHCHARACTERPRESENTINTHENUMBERPLATEPRODUCESABANDOFGRAYLEVELSOBYDETECTINGTHESIMILARGRAYLEVELBANDSEACHCHARACTERCANBESEGMENTEDRECOGNITIONPROCESSTHISISTHEOCRSTEPTHETECHNIQUESTHATCANBEUSEDINTHISSTEPINCLUDEPATTERNMATCHING2,FEATUREMATCHING78ANDNEURALNETWORKCLASSIFIER9POSTPROCESSTHISISTHEAPPLICATIONSPECIFICPROCESSSTEPDEPENDINGONTHEAPPLICATIONTHISSTEPMAYSAVETHEDETECTEDNUMBERPLATEFORTRAFFICDATACOLLECTION,TRYTOMATCHTHENUMBERPLATETOTHESTOLENVEHICLESDATABASEORTOOPENTHEGATEOFAPARKINGLOTFORAUTHORIZEDVEHICLESETC

簡(jiǎn)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(wú)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(qián)一輩子也就一次的事外文標(biāo)題RESEARCHONCURRENTMOBILEECOMMERCEDEVELOPMENTOFCHINA外文作者JIAJINAN,ZHOUSHANLIANG文獻(xiàn)出處2017INTERNATIONALCONFERENCEONNETWORKINGANDDIGITALSOCIETY如覺(jué)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3097單詞，13997字符字符就是印刷符，中文3543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。）RESEARCHONCURRENTMOBILEECOMMERCEDEVELOPMENTOFCHINAABSTRACTTHECURRENTMOBILEECOMMERCEHASDEVELOPEDRAPIDLYINCHINA,BUTITALSOFACESMANYPROBLEMSTOBESOLVEDTHISPAPERDESCRIBESTHELATESTDEVELOPMENTSITUATIONOFTHEDOMESTICMOBILEECOMMERCE,EXPLORESTHEMOBILEECOMMERCEPROBLEMSANDRELEVANTSOLUTIONSPROPOSED,ANDDOESSOMESIMPLEGUESSABOUTTHEFUTUREDEVELOPMENTOFMOBILEECOMMERCEWITHAVIEWTOPROVIDEREFERENCETOTHEFUTURETHEDEVELOPMENTOFMOBILEECOMMERCEKEYWORDSCHINA,MOBILECOMMUNICATIONTECHNOLOGY,MOBILEECOMMERCEIINTRODUCTIONTHEDEVELOPMENTOFMOBILECOMMUNICATIONTECHNOLOGYHASFARREACHINGIMPACTONMOBILEPHONESANDMOBILEINTERNETMARKET,WHOSEDEVELOPMENTISTHEIMPORTANTFACTORTOTHEDEVELOPMENTOFMOBILEECOMMERCEINRECENTYEARS,CHINASMOBILEPHONEDEVELOPEDRAPIDLY,ANDCHINAHASBECOMETHEWORLDSMOBILEPHONEMOBILEECOMMERCEDEVELOPMENTNOTONLYNEEDSTHESUPPORTOFMOBILENETWORK,BUTALSOAMOBILETERMINALDEVICETOOPERATETHEENTIREBUSINESSPROCESSBUTCHINASMOBILENETWORKCONSTRUCTIONANDDEVELOPMENTOFTERMINALEQUIPMENTLAGSBEHINDTHEACTUALDEVELOPMENTNEEDSASOFAPRIL2006,CHINASWIRELESSCHANNELFACESSMALLBANDWIDTHANDTHEHIGHCOST,CANPROVIDETHESPEEDLIMITOF90KBPSOR288KBPSTOMOBILEPHONES4L,BUTALSOBRINGSTHEHIGHTARIFF,RESULTINGTHATCHINASMOBILENETWORKCANNOTMEETTHEDEMANDOFALARGENUMBEROFNONTEXTINFORMATIONTRANSMISSIONINADDITION,THEPOPULARITYOFDOMESTICMOBILEPHONESHASLEDTOTHELACKOFRELATEDMOBILEBUSINESSFUNCTIONS,NOTTOKEEPINGUPWITHDEMANDFORMOBILEECOMMERCEDEVELOPMENTANDFULLFEATUREDBUTEXPENSIVE,WHICHARERESTRICTINGTHEDEVELOPMENTOFMOBILEECOMMERCEINCHINABCONSERVATIVECONSUMPTIONVALUESANDNOTENOUGHCOGNITIONMOBILEECOMMERCEISBUSINESSACTIVITYTHATCONTAINSAMOBILEINTERNET,ONLINEBANKING,CACERTIFICATIONCENTER,MERCHANTS,LOGISTICSANDSOON,BUTMOSTOFCHINASCONSUMERSKNOWLITTLEABOUTTHEENTIREBUSINESSPROCESSOFMOBILECOMMERCEITISEVENMOREUNREALISTICTOCONDUCTAWIDERANGEOFCHINESECONSUMERSMOBILECOMMERCECONSUMPTIONMOSTCHINESECONSUMERSARESTILLKEENTOGOSHOPPINGATTHESTORE,ANDTHEYARESTILLNOTTRUSTEDINUSINGMOBILEDEVICEFORMAKINGPURCHASESOVERTHENETWORKCHINESECONSUMPTIONATTITUDESHAVEHISTORICALLYBEENVERYCONSERVATIVE,WHICHLEDTORESISTANCEAGAINSTANEWCONSUMPTIONCONCEPT,ANDTOACERTAINEXTENT,RESTRICTEDTHEUSEOFMOBILEECOMMERCEINCHINACTHESECURITYCERTIFICATIONPROBLEMSHAVECONSTRAINEDTHEPACEOFMOBILEECOMMERCEDEVELOPMENTSECURECERTIFICATIONSHOULDCOMEINTHEFIRSTPLACEWHENITCOMESTOSECURITYISSUESINVOLVEDINTHEDEVELOPMENTOFMOBILEECOMMERCEHOWEVER,ACOMMONOCCURRENCEINPRACTICEINFORMATIONISSTOLEANDTAMPEREDBYOTHERSDURINGTRANSMITTING,ANDTHESENDERCANNOTCONFIRMTHEIDENTITYOFTHERECIPIENTTHROUGHAVALIDDIGITALCERTIFICATE,WHICHARESERIOUSLYAFFECTINGCHINASMOBILEECOMMERCEDEVELOPMENTFOREXAMPLE,BECAUSETHEINFORMATIONDURINGTRANSMISSIONAREMALICIOUSLYTAMPERED,THECONSUMERDIDNOTRECEIVETHECORRESPONDINGGOODSORSERVICESAFTERACHARGETHATALLTHERELEVANTINFORMATIONCANNOTBECONFIRMEDBYTHERECIPIENT,CAUSESCONSUMERSTOSUFFERHUGEECONOMICLOSSES,WHICHWILLBECOMEANIMPORTANTCONSTRAINTFACTORTOMOBILEECOMMERCEDEVELOPMENTINCHINA

簡(jiǎn)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(wú)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(qián)一輩子也就一次的事外文標(biāo)題DUPONTFINANCIALRATIOANALYSISUSINGLOGICALAGGREGATION外文作者ARAKI?EVI?,PMILO?EVI?,BPETROVI?ANDDGRADOJEVI?文獻(xiàn)出處SOFTCOMPUTINGAPPLICATIONSPROCEEDINGSOFTHE6THINTERNATIONALWORKSHOPSOFTCOMPUTINGAPPLICATIONSSOFA2018,VOLUME2如覺(jué)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3253單詞，20866字符字符就是印刷符，中文5300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。）DUPONTFINANCIALRATIOANALYSISUSINGLOGICALAGGREGATIONABSTRACTTHISPAPERPRESENTSALOGICBASEDMETHODFORDUPONTFINANCIALANALYSISOFCOMPANY’SBUSINESSPERFORMANCESDUPONTMETHODISUSEDTODECOMPOSERETURNONEQUITYROE,ASABASICPERFORMANCEMEASURE,INTOPROFIT,TURNOVER,ANDLEVERAGECOMPONENTLOGICALAGGREGATIONISUSEDTOAGGREGATETHESECOMPONENTSINORDERTOMODELPOSSIBLEPATTERNSTHATCORRESPONDTOBUSINESSMODELSINTERPOLATIVEBOOLEANALGEBRAISEMPLOYEDTOTRANSLATELOGICALMODELSOFPATTERNSINTOTHECORRESPONDINGMATHEMATICALMODELSTHEOBTAINEDMATHEMATICALMODELSCANBEUSEDTOCALCULATETHELEVELOFFULFILLMENTOFTHEOBSERVEDPATTERNSFURTHER,WEUSEPSEUDOLOGICALAGGREGATIONTOAGGREGATESEVERALDESIREDPATTERNSINORDERTOCREATEACRITERIAFUNCTIONUSEDFORINVESTMENTDECISIONMAKINGTHEPROPOSEDAPPROACHISTESTEDONTHEEXAMPLEOF18COMPANIESFROMAUTOMOTIVEINDUSTRYKEYWORDSFINANCIALRATIO,DUPONTANALYSIS,LOGICALAGGREGATION,INTERPOLATIVEBOOLEANALGEBRATHISPAPERISORGANIZEDASFOLLOWSINTHENEXTSECTION,ASHORTOVERVIEWOFPROFITABILITYANALYSISBASEDONTHEDUPONTMETHODISGIVENSECTION3PROVIDESBASICCONCEPTSOFINTERPOLATIVEBOOLEANALGEBRAANDLOGICALAGGREGATIONINSECT4,WEPROPOSEANIBABASEDAPPROACHFORPROFITABILITYANALYSISASANEXTENSIONOFTHECLASSICALDUPONTMETHODTHISMODELISAPPLIEDTOTHEPROBLEMOFTHEPROFITABILITYANALYSISOFWORLDMAJORAUTOMOBILEMANUFACTURERSTHERESULTSAREPROVIDEDANDDISCUSSEDINDETAILSINSECT5INTHEFINALSECTION,WEGIVECONCLUSIONSANDGUIDELINESFORTHEFUTUREWORK2FINANCIALANALYSISFINANCIALRATIOANALYSISISUSEDTOEVALUATERELATIONSHIPSAMONGFINANCIALSTATEMENTITEMSTHESERELATIONSHIPSHELPINVESTORS,CREDITORS,ANDINTERNALCOMPANYMANAGEMENTUNDERSTANDHOWWELLACOMPANYISPERFORMINGAFINANCIALRATIOACCOUNTINGRATIOISARELATIVEMAGNITUDEOFTWOSELECTEDNUMERICALVALUESTAKENFROMANENTERPRISE’SFINANCIALSTATEMENTSRATIOSAREDESIGNEDTOREVEALSOMEIMPORTANTASPECTSOFACOMPANY’SFINANCIALHEALTHTHEREAREMANYRATIOS,MOSTOFTHEMARESTANDARDIZEDANDDIVIDEDINTOFOURMAINCATEGORIESPROFITABILITY,ACTIVITYEFFICIENCY,LIQUIDITY,ANDLEVERAGEDEBTRATIOSTHEYCANBEUSEDFORCOMPARISONSBETWEENCOMPANIES,BETWEENACOMPANYANDITSINDUSTRYAVERAGE,ANDTOIDENTIFYTRENDSOVERTIMEFORASINGLECOMPANYDUPONTANALYSIS,ALSOKNOWNASTHEDUPONTMETHODORDUPONTSCHEME,ISACOMMONFORMOFFINANCIALRATIOSTATEMENTANALYSISTHATDECOMPOSESPROFITABILITYRATIOSINTOITSMULTIPLICATIVECOMPONENTSTHISDECOMPOSITIONENABLESTHEANALYSTTOPERCEIVETHESOURCESOFAFIRM’SSUPERIOR/INFERIORRETURNTHEFAMOUSAREDUPONTDECOMPOSITIONSOFTWOPROFITABILITYRATIOSRETURNONASSETSANDRETURNONEQUITYRATIOSRETURNONASSETSROAISCONSIDEREDASANOVERALLMEASUREOFPROFITABILITYITMEASURESHOWEFFICIENTLYAMANAGEMENTUTILIZESCOMPANY’SASSETSTOGENERATEEARNINGSROAISCALCULATEDBYDIVIDINGNETPROFITSBYTOTALASSETS

簡(jiǎn)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(wú)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(qián)一輩子也就一次的事外文標(biāo)題DIETOSARECOMMENDERSYSTEMFORADAPTIVEDIETMONITORINGANDPERSONALIZEDFOODSUGGESTION外文作者AGAPITOG,CALABRESEB,GUZZIPH,CANNATAROMAGAPITOG,CALABRESEB,GUZZIPH,CANNATAROM文獻(xiàn)出處2018IEEE12THINTERNATIONALCONFERENCEONWIRELESSANDMOBILECOMPUTING,NETWORKINGANDCOMMUNICATIONS如覺(jué)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5390單詞，34197字符字符就是印刷符，中文8407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。）DIETOSARECOMMENDERSYSTEMFORADAPTIVEDIETMONITORINGANDPERSONALIZEDFOODSUGGESTIONABSTRACTNOWADAYSTHEREISAWIDESPREADDIFFUSIONOFMOBILEAPPLICATIONSFORWEIGHTANDDIETMANAGEMENTEVENTHOUGH,THEMOSTPOPULARAPPSARENOTUSUALLYEXPERIMENTEDINCLINICALCONTEXTS,ASWELLASAPPSARENOTSUPPORTEDBYMEDICALEVIDENCEFURTHERRESEARCHISNECESSARYTOASSESSTHEEFFECTIVENESSOFAPPSFORWEIGHTANDDIETMANAGEMENTMOREOVER,THEREAREFEWEXAMPLESOFFOODRECOMMENDERSYSTEMSTHATPROVIDETOTHEUSERSNUTRITIONALFACTSABOUTSUITABLEFOODCHOICESANDTAKEINTOACCOUNTINDIVIDUALPHYSIOLOGICALSTATUSANDENVIRONMENTALSITUATIONSWEPROPOSEDIETOSDIETORGANIZERSYSTEM,ARECOMMENDERSYSTEMFORTHEADAPTIVEDELIVERYOFNUTRITIONCONTENTSTOIMPROVETHEQUALITYOFLIFEOFBOTHHEALTHYPEOPLEANDINDIVIDUALSAFFECTEDBYCHRONICDIETRELATEDDISEASESTHEPROPOSEDSYSTEMISABLETOBUILDAUSER’SHEALTHPROFILE,ANDPROVIDESINDIVIDUALIZEDNUTRITIONALRECOMMENDATIONACCORDINGTOTHEHEALTHPROFILETHEPROFILEISCREATEDTHROUGHTHEUSEOFDYNAMICREALTIMEQUESTIONNAIRESPREPAREDBYMEDICALDOCTORSANDCOMPILEDBYTHEUSERSTHEHYPERTENSIONANDDIABETES,THEMSELVESCLINICALLYSILENT13THEUNAWARENESSOFBEINGHYPERTENSIVE,ORDIABETICORAFFECTEDBYCKDREPRESENTSTHEMAINOBSTACLETOINTERFERETHEPROGRESSIONOFRENALDAMAGEANDTOPREVENTTHEOCCURRENCEOFITSCOMPLICATIONS14THERAPEUTICDIETREGIMENSHAVEBEENINDIVIDUALIZEDFORDIFFERENTDISEASESTAGESACCORDINGTOKIDNEYDISEASEOUTCOMESQUALITYINITIATIVEKDOQIGUIDELINES15THECLINICALPROFILINGREPRESENTSAFUNDAMENTALTOOLFORACORRECTMANAGEMENTOFTHEDIETINTHISTYPOLOGYOFPATIENTSWHILETHEMONITORINGOFCLINICALRESPONSESANDCOMPLIANCETOTHEPRESCRIPTIONISTHEMAJORMISSIONOFNEPHROLOGISTSANDNEPHROLOGYDEDICATEDNUTRITIONISTSWEPROPOSEAWEBBASEDRECOMMENDERSYSTEMCALLEDDIETOSDIETORGANIZERSYSTEMTHATEXTENDSAPRELIMINARYSYSTEMPRESENTEDIN16TOIMPROVETHEQUALITYOFLIFEOFHEALTHYAND,EXPECIALLY,INDIVIDUALSAFFECTEDBYCHRONICDIETRELATEDDISEASES,BYCOMBININGTHENEEDSOFLEISUREWITHHEALTHBENEFITSTHEDIETOSSYSTEMPROVIDESINDIVIDUALIZEDNUTRITIONALRECOMMENDATIONACCORDINGTOTHEUSER’SHEALTHPROFILEDEFINEDBYFOLLOWINGTHEMAINGUIDELINESFURNISHEDBYTHEMEDICALSPECIALISTTHEHEALTHPROFILEISCREATEDTHROUGHTHESUPPLYOFDYNAMICREALTIMEQUESTIONNAIRESTOTHEUSER,VALIDATEDANDAPPROVEDBYTHEMEDICALSTAFFTHESYSTEMCANADVISETHEUSEOFSPECIFICTYPICALCALABRIANFOODS,RELATEDNOTONLYTOPARTICULARHEALTHYCONDITIONBUTEVENTOSPECIFICPATHOLOGIESINTHECURRENTVERSION,DIETOSCANPROFILEUSERSAFFECTEDBYCKD,HYPERTENSION,ANDDIABETESBESIDESHEALTHYUSERSASSTRENGTHPOINT,THEREISTHECAPABILITYOFDIETOSTOGIVEINFORMATIONSABOUTTHEBENEFITSANDSIDEEFFECTSOFSEVERALCALABRIANFOODSFORSPECIFICDISEASESORHEALTHYCONDITIONSTOTHEBESTOFOURKNOWLEDGE,DIETOSISTHEFIRSTRECOMMENDERSYSTEMTHATINCORPORATESACATALOGOFTYPICAL/REGIONALFOODSTHERECOMMENDATIONOFTHEFOODSBYDIETOSTOTHEUSERS,ISBASEDONCRITERIACERTIFIEDBYTHEMEDICALTEAMASWELLASTHENUTRITIONALINFORMATIONOFTHEFOODSCONTAINEDINTHEDATABASECONVERSELYTOTHETRADITIONALRECOMMENDERSYSTEMSTHATTOMAKERECOMMENDATIONHAVETOCLASSIFYTHEUSERSBYUSINGNAVIGATIONDATA,BEHAVIOURDATAANDSOON,INDIETOSUSERSAREIMPLICITLYCLASSIFIEDDURINGTHEPROFILATIONSTEP,INACCORDINGTOHIS/HERHEALTHSTATUSTHERESTOFTHEPAPERISORGANIZEDASFOLLOWSSECTIONIIDESCRIBESTHESTATEOFTHEARTRELATEDTOTHEDIETARYMONITORINGANDMANAGEMENTWEBSYSTEMSANDMOBILEAPPSSECTIONIIIPRESENTSTHEARCHITECTUREOFTHEDIETOSSYSTEM,WHEREASINSECTIONIVDESIGNANDIMPLEMENTATIONOFAFIRSTDIETOSPROTOTYPEISDESCRIBEDFINALLY,SECTIONVUNDERLINESTHEFUTUREWORKSANDCONCLUDESTHEPAPER

簡(jiǎn)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(wú)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(qián)一輩子也就一次的事外文標(biāo)題BIREFRENGENTRESIDUALSTRESSANDIMPROVEDINJECTIONMOLDDESIGN外文作者JAYCHANAN文獻(xiàn)出處MATERIALSSCIENCEFORUMVOLS7687692018PP217223如覺(jué)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2588單詞，16489字符字符就是印刷符，中文4174漢字。BIREFRENGENTRESIDUALSTRESSANDIMPROVEDINJECTIONMOLDDESIGNKEYWORDSRESIDUALSTRESS,INJECTIONMOLDING,POLYETHYLENETEREPHTHALATE,PHOTOELASTICITYABSTRACTEFFICIENTMANUFACTURINGREQUIRESCONSISTENCYAUTOMATEDEQUIPMENTISDESIGNEDTOACCEPTASMALLRANGEOFINPUTVARIABILITYANDQUICKLYSORTANDPROCESSFORNEXTSTEPSACASESTUDYFORINJECTIONMOLDINGOFPOLYETHYLENETEREPHTHALATEPREFORMSFORUSEINSTRETCHBLOWMOLDINGWASPRESENTEDONECONVENIENTMETHODFORMEASURINGSTRESSESINOPTICALLYTRANSPARENTBIREFRINGENTPARTSISPHOTOELASTICITYUSINGCROSSPOLARIZEDLIGHT,FRINGESPROPORTIONALTOTHESTRESSSTATEWEREOBSERVEDFASTERCOOLINGIMPROVEDTHERESIDUALSTRESSSTATEINTHEINJECTEDPREFORMSTHEIMPROVEMENTSWEREBOTHINMAGNITUDE,ASREPRESENTEDBYTHEFREQUENCYOFFRINGESANDCONSISTENCY,ASREPRESENTEDBYTHEIMPROVEDSYMMETRYOFTHEFRINGESLOWERPRESSUREINTHEMOLDALSOAIDEDINIMPROVINGTHERESIDUALSTRESSSTATEREDUCINGTHEPRESSURENEEDEDTOINJECTWASACCOMPLISHEDBYINCREASINGTHEVENTWIDTHINTRODUCTIONNONDESTRUCTIVEFORMANUFACTURINGAPPLICATIONSMEASUREMENTTIMEISAPARTICULARLYIMPORTANTADVANTAGEINJECTIONMOLDINGISTHEMOSTCOMMONPROCESSUSEDINTHEMANUFACTUREOFPLASTICGOODSITINVOLVESTHEMELTINGOFAGIVENTHERMOPLASTICRESINANDSUBSEQUENTFIXEDSHAPINGANDCOOLINGOFTHEMOLTENPLASTICVIAPREDETERMINEDMOLDSHISTORICALLY,RESIDUALSTRESSWASIGNOREDWHENREVIEWINGINJECTIONMOLDPERFORMANCEHERERESIDUALSTRESSWASANIMPORTANTFACTORINDETERMININGWHATMOLDIMPROVEMENTSWERESIGNIFICANTPREFORMSANDMOLDCOMPONENTSFORTHEHIGHESTSPEEDSINBOTTLEPACKAGING,PREFORMSAREREQUIREDBOTTLESAREBLOWNFROMTHEPREFORMSPREFORMSAREGENERALLYINJECTIONMOLDEDPOLYETHYLENETEREPHTHALATEPETPETISEASIERTORECYCLETHANHDPEANDRESULTSINACLEARHIGHFOODQUALITYCONTAINERTHEREARETHREEMAJORCOMPONENTSTOPREFORMMOLDSCAVITYTHREADSPLITS,ORNECKRINGCORETHECAVITYFORMSTHEEXTERNALSURFACEOFTHEPREFORMTHISREMAINSSTATIONARYTHROUGHOUTTHEMOLDINGPROCESSTHREADSPLITSFORMTHETHREADS,ORFINISH,ONTHEPREFORMSANDOPENANDCLOSEONTHECOREDURINGANDAFTERTHEMOLDINGPROCESSTHECOREFORMSTHEPREFORMSINNERSURFACEANDTHENCARRIESTHEFINISHEDPREFORMOUTOFTHECAVITYONCETHEPREFORMHASCOOLEDBIREFRENGENCETHEPOLARIZERANDANALYZEREECTONNATURALLIGHTANDPOLARIZEDLIGHTAREWELLKNOWN6GENERALLY,WHENLIGHTWAVESCOMEDIRECTLYFROMASOURCE,THEYARENOTPOLARIZEDWHENPOLARIZED,THEELECTROMAGNETICVIBRATIONISRESTRICTEDTOONEORTWOSPECIFICDIRECTIONSIFLIGHTISPLANEPOLARIZED,THECOMPONENTSOFTHEVIBRATIONSINSOMEPLANEARETRANSMITTEDORREFLECTEDTOTHEEXCLUSIONOFTHEOTHERCOMPONENTSTHEINTENSITYISREDUCEDTOONEHALFINTHEMOSTECIENTPOLARIZERHOWEVER,ITSROTATIONDOESNOTCAUSEACHANGEININTENSITYAGAIN,IFASECONDPOLARIZINGDEVICEOPERATESONTHEPOLARIZEDLIGHT,ITWILLTRANSMITORREFLECTONLYTHECOSINECOMPONENTSINITSPLANEOFVIBRATIONTHISSECONDPOLARIZERISCALLEDANANALYZERWITHTHEHELPOFTHISPOLARIZEDLIGHT,WECANSEEFRINGESINBIREFRENGENTFILMSCAUSEDBYSTRAIN7

簡(jiǎn)介：1516IEEETRANSACTIONSONPOWERDELIVERY,VOL7NO3,JULY1992DEVELOPMENTOFANEWFAULTLOCATIONALGORITHMFORMULTITERMINALTWOPARALLELTRANSMISSIONLINESTNAGASAWAMABEN0TSUZUKITHEKANSAIELECTRICPOWERCO,INCOSAKA,JAPANABSTRACTCONVENTIONALFAULTLOCATIONMETHODSUSINGONETERMINALACVOLTAGEANDCURRENTARENOTAPPLICABLETOMULTITERMINALSYSTEMSTHISPAPERDESCRIBESANEWFAULTLOCATIONALGORITHMFORMULTITERMINALTWOPARALLELTRANSMISSIONLINESTHISMETHODUSESTHEMAGNITUDEOFTHEDIFFERENTIALCURRENTSATEACHTERMINALANDALSOUSESANALGORITHMBASEDONA3TERMINALFAULTLOCATIONALGORITHMANDANEQUIVALENTCONVERSIONFROMANNTERMINALTOA3TERMINALSYSTEMFORAMULTIFAULTOCCURRINGATTHESAMEPLACEANDSAMETIMEONBOTHLINESASWELLASASINGLEFAULTTHISNEWALGORITHMISREASONABLYACCURATEEMTPSIMULATIONRESULTSARESHOWNKEYWORDSMULTITERMINAL,TWOPARALLELTRANSMISSIONLINES,FAULTLOCATION,PT,CT,EQUIVALENTCONVERSION,3TERMINALALGORITHM1INTRODUCTIONWHENAFAULTOCCURSONTHETRANSMISIONLINESOFANELECTRICPOWERSYSTEM,ITISVERYIMPORTANT,ESPECIALLYINTHECASEOFUNSUCCESSFULRECLOSING,TOFINDTHEFAULTLOCATIONANDMAKENECESSARYREPAIRS,INORDERTOPREVENTTHEFAULTFROMSPREADINGIFTHEREARENOFACILITIESTODETECTAFAULTLOCATION,ITISNECESSARYTOSEARCHFORTHEFAULTLOCATIONBYPATROLLINGALLOFTHETRANSMISSIONLINES,ANDTHISWOULDINVOLVEATREMENDOUSAMOUNTOFLABORANDEXPENSETHISISESPECIALLYTRUEONLONGLINES,INROUGHTERRAINFAULTLOCATORS,THATMEASURETHEDISTANCETOAFAULTPOINTONATRANSMISSIONLINE,CONVENTIONALLYUSESURGEMETHODORPULSEMETHODINTHEFORMERMETHOD,ASURGEVOLTAGECAUSEDBYAFAULTISDETECTEDATBOTHTERMINALSOFTHETRANSMISSIONLINEANDTHEFAULTPOINTISDETERMINEDBYTHETIMEDIFFERENCEOFTHESURGEDETECTEDATEACHTERMINALINTHELATTERMETHOD,PULSESIGNALSARESENTTOTHETRANSMISSIONLINEWHENAFAULTOCCURSANDBYMEASURINGTHEPULSERETURNTIMEFROMTHEFAULTPOINT,THEFAULTPOINTISDETERMINEDINTHESEMETHODS,IFTHESURGEVOLTAGEORREFLECTEDPULSECANBEPRECISELYDETECTEDTHEFAULTLOCATIONISVERYACCURATETHESEFAULTLOCATORSHAVEMADEPRACTICALUSEINDIRECTGROUNDEDSYSTEMSHOWEVER,INRESISTANCEGROUNDEDSYSTEMS,WHENAFAULT,ESPECIALLYACOMMONSINGLEPHASETOGROUNDFAULTTHISPAPERWASPRESENTEDATTHETRANSMISSIONANDDISTRIBUTIONCONFERENCEINDALLAS,TEXASFROMSEPTEMBER2227,1991ATTHEDALLASCONVENTIONCENTERSPONSOREDBYTHEIEEEPOWERENGINEERINGSOCIETYTEMURAYJIKIHARAMTAKEUCHINISSINELECTRICCO,LTDKYOTO,JAPANOCCURS,ALARGELOCATIONERRORCOMESABOUTBECAUSETHESURGEVOLTAGELEVELISESSENTIALLYLOWANDBECOMESLOWERBYTHEINFLUENCEOFBRANCHLINESTHUS,THEABOVEMETHODSHAVELIMITEDPRACTICALAPPLICATIONSINTHEMEANTIME,DISTANCERELAYSFORTRANSMISSIONLINEPROTECTIONHAVEAFUNCTIONTOMEASUREANIMPEDANCETOAFAULTPOINTTAKINGNOTEOFTHISFUNCTION,RESEARCHESHAVEBEENDONEINTOUSINGTHERELAYMETHODTODETERMINEFAULTPOINTRESEARCHEFFORTSAREEXPANDINGANDEMPHASIZEDEVELOPMENTOFFAULTLOCATORSBASEDONAMICROPROCESSORTHESELOCATORSMAKEPRACTICALUSEINRESISTANCEGROUNDEDSYSTEMSASWELLASDIRECTGROUNDEDSYSTEMSMOSTOFTHESELOCATORSUSEONETERMINALACVOLTAGEANDCURRENTOFPTANDCTADRAWBACKOFTHISMETHODISTHATINAPPLICATIONTOMULTITERMINALTRANSMISSIONLINESWITHBRATICHPOINTS,ITISIMPOSSIBLETODETERMINETHEFAULTPOINTLYINGBEYONDTHEBRANCHPOINTTHISPAPERPROPOSESANEWFAULTLOCATIONALGORITHMFORMULTITERMINALTWOPARALLELTRANSMISSIONLINESTHESETRANSMISSIONLINESAREEXPECTEDTOBEINCREASEDINSUBTRANSMISSIONSYSTEMSTHEMETHODUSESTHESAMEACINPUTSASPROTECTIVERELAYS,ANDUSESONLYTHEMAGNITUDEOFTHEDIFFERENTIALCURRENTSATEACHTERMINALTHISMETHODISBASEDONAFAULTLOCATIONALGORITHMFOR3TERMINALTWOPARALLELTRANSMISSIONLINES,ANDANEQUIVALENTCONVERSIONFROMNTERMINALTWOPARALLELTRANSMISSIONLINESTO3TERMINALTWOPARALLELTRANSMISSIONLINES2THEPRINCIPLEOFTHE3TERMINALSYSTEMTHISSECTIONRELATESTHEPRINCIPLEOFTHEFAULTLOCATIONALGORITHMFOR3TERMINALTWOPARALLELTRANSMISSIONLINESFIRSTOFALLWEWILLEXPLAINTHEFUNDAMENTALEQUATIONSFORTHEDIFFERENTIALCURRENTS21FUNDAMENTALEQUATIONSFORDIFFERENTIALCURRENTSFIG1SHOWSTHEGENERAL3TERMINALTWOPARALLELTRANSMISSIONLINESTHEREARENOLIMITATIONSONTHEPRESENCEOFABACKPOWERSOURCEORLIMITATIONSONTHEGROUNDINGSYSTEMDIRECTGROUNDED,RESISTANCEGROUNDED,UNGROUNDEDFORTHETERMINALST1,T2ANDT3CONSIDERAFAULTOCCURRINGATADISTANCEOFXKMAWAYFROMTHETERMINALT1THEFAULTTYPESNEEDNOTBERESTRICTEDTOASINGLEFAULTOCCURRINGATONEPLACEONONEOFTHETRANSMISSIONLINES,EVENAMULTIFAULTOCCURRINGSIMULTANEOUSLYATTHESAMEPLACEONBOTHTRANSMISSIONLINESISALLOWEDTHEREAREALSONOLIMITATIONSONTHEFAULTPOINTRESISTANCEFIG2SHOWSTHECURRENTSFLOWINGFROMEACHTERMINALANDFROMTHEFAULTPOINTSINFIG2,THELASTSUFFIXIOFTHECURRENTSBECOMES0,1OR2CORRESPONDINGRESPECTIVELYTOTHEZEROSEQUENCE,POSITIVESEQUEIICEORNEGATIVESEQUENCEOFTHESYMMETRICALCOINPONENTSINTHISFIGURETHEFAULTCURRENTSARESHOWNASFLOWINGFROMBOTHLINESBUTFORINSTANCEIFWESETI2FI0I0,1,2THISCANBETAKENASASINGLEFADLTINLINELLALSOWECANCONSIDERF,,,0ANDF,,,0ASAPHASETOPHASEFAULTORATHREEPHASEFAULTWITHORWITHOUTGROUNDACCORDINGLY,FIG2REPRESENTSALLFAULTSDISCUSSEDINTHISPAPER1518TABLE1SHOWSTHEDIFFERENTIALCURRENTDISTRIBUTIONOFEACHTERMINALWHENTHEFAULTPOINTISCHANGEDFROMTHETABLEITCANBESEENTHATTHEDIFFERENTIALCURRENTSOFEACHTERMINALHAVETHESAMEANGLEUSINGTHISWEGETTHEFOLLOWINGEQUATIONFURTHER,FOREXAMPLEINCASE1,WEGETTHENEXTEQUATIONANDTHENFROMTHEEQUATIONS14AND15,WEOBTAINTHEFOLLOWINGEQUATIONITISFURTHERSHOWNTHATBYCOMPUTINGTHELEFTHANDSIDEOFTHEEQUATION16THEDISTANCETOTHEFAULTPOINTCANBEFOUNDTHECOMPUTATIONFORMULAONTHEBDIEEMNTIALCURRENTDZ€CURRENTOFTERMINALTIAI,IDIFFCURMLTOFTERMINALT2AI,DIFFCMNTOFTERMINALT3AFILEFTHANDSIDEOFTHEEQUATION16ISREGARDEDASAFAULTLOCATIONCOMPUTATIONFORMULAUSINGONLYTHEMAGNITUDEOFTHEDIFFERENTIALCURRENTSOFEACHTERMINALTABLE2SHOWSTHERESULTSCOMPUTEDFROMTHETHREEKINDSOFCOMPUTATIONFORMULASI,I1AND111WITHRESPECTTOTHEFAULTPOINTINCASES1,2AND3FROMTABLE2THEFOLLOWINGCANBEDERIVEDAPPLYFORMULAIASACOMPUTINGFORMULAFORTHEFAULTBETWEENTERMINALT1ANDTHEBRANCHPOINT,ANDFORMULASI1ANDI11FORTERMINALST2ANDT3,RESPECTIVELYATWHICHTIMEIFTHEREISAFAULTPOINTBETWEENACERTAINTERMINALANDTHEBRANCHPOINT,THERESULTDERIVEDFROMTHECOMPUTATIONFORMULAOFTHATTERMINALISLESSTHANTHEDISTANCETOTHEBRANCHPOINT,ORIFTHEREISNOFAULTPOINTBETWEENTHETERMINALANDTHEBRANCHPOINT,THERESULTDERIVEDFROMTHECOMPUTATIONFORMULAOFTHATTERMINALISGREATERTHANTHEDISTANCETOTHEBRANCHPOINTFROMTHISWEGETTHE3TERMINALSYSTEMFAULTLOCATIONALGORITHMSHOWNINFIG5TABLE1DIFFERENTIALCURRENTDISTRIBUTIONOFEACHTERMINALCASE1OSTT3XL,T2CASE2FT211311XAI,111212131311LLXAI,,11I2121313CASE3YT301XL,TI

簡(jiǎn)介：DLIUETALEDSISNN2007,PARTI,LNCS4491,PP257–266,2007?SPRINGERVERLAGBERLINHEIDELBERG2007REALIZATIONOFNEURALNETWORKINVERSESYSTEMWITHPLCINVARIABLEFREQUENCYSPEEDREGULATINGSYSTEMGUOHAILIU,FULIANGWANG,YUESHEN,HUAWEIZHOU,HONGPINGJIA,ANDMEIKANGSCHOOLOFELECTRICALANDINFORMATIONENGINEERING,JIANGSUUNIVERSITYZHENJIANG212013,CHINAGHLIUUJSEDUCNABSTRACTTHEVARIABLEFREQUENCYSPEEDREGULATINGSYSTEMWHICHCONSISTSOFANINDUCTIONMOTORANDAGENERALINVERTER,ANDCONTROLLEDBYPLCISWIDELYUSEDININDUSTRIALFIELDHOWEVER,FORTHEMULTIVARIABLE,NONLINEARANDSTRONGLYCOUPLEDINDUCTIONMOTOR,THECONTROLPERFORMANCEISNOTGOODENOUGHTOMEETTHENEEDSOFSPEEDREGULATINGTHEMATHEMATICMODELOFTHEVARIABLEFREQUENCYSPEEDREGULATINGSYSTEMINVECTORCONTROLMODEISPRESENTEDANDITSREVERSIBILITYHASBEENPROVEDBYCONSTRUCTINGANEURALNETWORKINVERSESYSTEMANDCOMBININGITWITHTHEVARIABLEFREQUENCYSPEEDREGULATINGSYSTEM,APSEUDOLINEARSYSTEMISCOMPLETED,ANDTHENALINEARCLOSELOOPADJUSTORISDESIGNEDTOGETHIGHPERFORMANCEUSINGPLC,ANEURALNETWORKINVERSESYSTEMCANBEREALIZEDINACTURALSYSTEMTHERESULTSOFEXPERIMENTSHAVESHOWNTHATTHEPERFORMANCESOFVARIABLEFREQUENCYSPEEDREGULATINGSYSTEMCANBEIMPROVEDGREATLYANDTHEPRACTICABILITYOFNEURALNETWORKINVERSECONTROLWASTESTIFIED1INTRODUCTIONINRECENTYEARS,WITHPOWERELECTRONICTECHNOLOGY,MICROELECTRONICTECHNOLOGYANDMODERNCONTROLTHEORYINFILTRATINGINTOACELECTRICDRIVINGSYSTEM,INVERTERSHAVEBEENWIDELYUSEDINSPEEDREGULATINGOFACMOTORTHEVARIABLEFREQUENCYSPEEDREGULATINGSYSTEMWHICHCONSISTSOFANINDUCTIONMOTORANDAGENERALINVERTERISUSEDTOTAKETHEPLACEOFDCSPEEDREGULATINGSYSTEMBECAUSEOFTERRIBLEENVIRONMENTANDSEVEREDISTURBANCEININDUSTRIALFIELD,THECHOICEOFCONTROLLERISANIMPORTANTPROBLEMINREFERENCE123,NEURALNETWORKINVERSECONTROLWASREALIZEDBYUSINGINDUSTRIALCONTROLCOMPUTERANDSEVERALDATAACQUISITIONCARDSTHEADVANTAGESOFINDUSTRIALCONTROLCOMPUTERAREHIGHCOMPUTATIONSPEED,GREATMEMORYCAPACITYANDGOODCOMPATIBILITYWITHOTHERSOFTWAREETCBUTINDUSTRIALCONTROLCOMPUTERALSOHASSOMEDISADVANTAGESININDUSTRIALAPPLICATIONSUCHASINSTABILITYANDFALLIBILITYANDWORSECOMMUNICATIONABILITYPLCCONTROLSYSTEMISSPECIALDESIGNEDFORINDUSTRIALENVIRONMENTAPPLICATION,ANDITSSTABILITYANDRELIABILITYAREGOODPLCCONTROLSYSTEMCANBEEASILYINTEGRATEDINTOFIELDBUSCONTROLSYSTEMWITHTHEHIGHABILITYOFCOMMUNICATIONCONFIGURATION,SOITISWILDLYUSEDINRECENTYEARS,ANDDEEPLYWELCOMEDSINCETHESYSTEMCOMPOSEDOFNORMALINVERTERANDINDUCTIONMOTORISACOMPLICATEDNONLINEARSYSTEM,TRADITIONALPIDCONTROLSTRATEGYCOULDNOTMEETTHEREQUIREMENTFORFURTHERCONTROLTHEREFORE,HOWTOENHANCECONTROLPERFORMANCEOFTHISSYSTEMISVERYURGENTREALIZATIONOFNEURALNETWORKINVERSESYSTEMWITHPLC259STRICTANALYTICALINVERSEISVERYDIFFICULTTOOBTAIN,EVENIMPOSSIBLETHEENGINEERINGAPPLICATIONOFINVERSESYSTEMCONTROLDOESN’TMEETTHEEXPECTATIONSASNEURALNETWORKHASNONLINEARAPPROXIMATEABILITY,ESPECIALLYFORNONLINEARCOMPLEXITYSYSTEM,ITBECOMESTHEPOWERFULTOOLTOSOLVETHEPROBLEM12Y2DY1DTWOINPUTSANDTWOOUTPUTSNONLINEARCONTINUOUSSYSTEMU1U2Y1Y2LINEARCLOSELOOPCONTROLLER1LINEARCLOSELOOPCONTROLLER2THORDERINVERSIONANNAPSEUDOLINEARSYSTEMFIG2COMPOUNDPSEUDOLINEARSYSTEMCONTROLDIAGRAMOFTWOINPUTSANDTWOOUTPUTSSYSTEMTHA?NNINVERSESYSTEMINTEGRATEDINVERSESYSTEMWITHNONLINEARAPPROXIMATEABILITYOFTHENEURALNETWORKCANAVOIDTHETROUBLESOFINVERSESYSTEMMETHODTHENITISPOSSIBLETOAPPLYINVERSECONTROLMETHODTOACOMPLICATEDNONLINEARSYSTEMTHA?NNINVERSESYSTEMMETHODNEEDSLESSSYSTEMINFORMATIONSUCHASTHERELATIVEORDEROFSYSTEM,ANDITISEASYTOOBTAINTHEINVERSEMODELBYNEURALNETWORKTRAININGCASCADINGTHENNINVERSESYSTEMWITHTHEORIGINALSYSTEM,APSEUDOLINEARSYSTEMISCOMPLETEDFIGURE2ISANEXAMPLEOFATWOINPUTSANDTWOOUTPUTSSYSTEMSUBSEQUENTLY,ALINEARCLOSELOOPREGULATORWILLBEDESIGNED3MATHEMATICMODELOFINDUCTIONMOTORVARIABLEFREQUENCYSPEEDREGULATINGSYSTEMANDITSREVERSIBILITYINDUCTIONMOTORVARIABLEFREQUENCYSPEEDREGULATINGSYSTEMSUPPLIEDBYTHEINVERTEROFTRACKINGCURRENTSPWMCANBEEXPRESSEDBY5THORDERNONLINEARMODELINDQTWOPHASEROTATINGCOORDINATETHEMODELWASSIMPLIFIEDASA3ORDERNONLINEARMODELIFTHEDELAYOFINVERTERISNEGLECTED,THEMODELISEXPRESSEDASFOLLOWS211PMPRRDSQRQSDLRRDMRDRRQSDRRRQMRQRRDSQRRNLNIITJLJLITTLITTΩΨΨΨΨΩΩΨΨΨΩΩΨ??????????????????1

簡(jiǎn)介：NONLINEARDYNAMICS200540119–147C?SPRINGER2005MODELLINGANDDYNAMICRESPONSEOFADAMPERWITHRELIEFVALVERDEYRES?,ARCHAMPNEYS,ANDNAJLIEVENBRISTOLLABORATORYFORADVANCEDDYNAMICENGINEERING,UNIVERSITYOFBRISTOL,QUEENSBUILDING,UNIVERSITYWALK,BRISTOL,BS81TR,UK?AUTHORFORCORRESPONDENCEEMAILRICHARDEYRESBRISTOLACUKFAX441179272771RECEIVED26APRIL2004ACCEPTED23SEPTEMBER2004ABSTRACTTHISPAPEROUTLINESSEVERALPOSSIBLEMETHODSOFMODELLINGAPASSIVEHYDRAULICDAMPERWITHABYPASSTUBETHATISOPENEDBYAPRECOMPRESSEDRELIEFVALVEINITIALLYASIMPLEALGEBRAICMODELISDERIVEDWHICHISDEVELOPEDINTOAMORECOMPUTATIONALLYCOMPLEXMODELINCORPORATINGTHEDYNAMICSOFTHEINTERNALSPRINGVALVEANDFLUIDCOMPRESSIBILITYNUMERICALSIMULATIONSINDICATEREALISTICDYNAMICALPHENOMENAANDSUGGESTKEYDESIGNPARAMETERSKEYWORDSCOMPRESSIBILITY,HYDRAULICDAMPER,NONLINEAR,RELIEFVALVE1INTRODUCTIONVIBRATIONDAMPERSAREUSEDINMANYAPPLICATIONSSUCHASCARSHOCKABSORBERS1,BRIDGESTABILISATION2,HELICOPTERS3–5ANDEARTHQUAKERESISTANTBUILDINGS6,7AMODELISESSENTIALIFCHANGESARETOBEINVESTIGATEDWITHOUTRECONSTRUCTINGTHESYSTEMTHISPAPERWILLCONCENTRATEONADAMPERASASTANDALONEMODULEWITHINALARGERMECHANICALSYSTEMHENCEITISASSUMEDTHATASIMPLE,TIMEDEPENDENTINPUTDISPLACEMENTPRODUCESAFORCETHEDAMPERMODELLEDISESSENTIALLYAPLUNGERINHYDRAULICFLUIDTHEPLUNGERHASASMALLORIFICETHATCONNECTSEITHERSIDETHROUGHWHICHTHEFLUIDFLOWS,ASINFIGURE1THEREISANADDEDCOMPLICATIONONTHEDAMPERSTUDIEDWHENTHEPRESSUREDIFFERENCEBETWEENTHETWOSIDESOFTHEPLUNGERISHIGHENOUGH,ACONICALVALVEOPENSTHATALLOWSFLUIDTOFLOWTHROUGHANALTERNATIVETUBEASINFIGURE2WHENTHISOCCURSTHEDAMPERISSAIDTO‘BLOWOFF’THEBLOWOFFVALVEISCONNECTEDTOTHEDAMPER’SCASINGVIAASPRINGTHEPRECOMPRESSIONOFTHESPRINGAGAINSTTHEALTERNATIVE‘BYPASSTUBE’DETERMINESTHEPRESSUREDIFFERENCEATWHICHTHEVALVEWILLOPENTHEBLOWOFFSYSTEMISTHESAMEFORNEGATIVEPRESSUREDIFFERENCESWITHTHEVALVERESTINGAGAINSTASECONDBYPASSTUBEPREVENTINGFLUIDFLOWINGFREELYINTHEOPPOSITEDIRECTIONSUCHADAMPERISINDICATIVEOFTHATUSEDINAPPLICATIONSWHEREANONLINEARMODELAPPLIESWHERETHEDAMPINGOFSMALLAMPLITUDEORLOWFREQUENCYMOTIONISMOSTIMPORTANTTHEPIECEWISENATUREOFTHEDAMPERMEANSTHATITCANBEUSEDINAPPLICATIONSWHERETHEREISMORETHANONEMODEOFOPERATIONTHEDAMPERCANBETUNEDTOTHEDIFFERENTOPERATIONALMODESEXAMPLESOFTHISWOULDBEANAUTOMOBILETHATISUSEDONHIGHSPEEDFLATROADSASWELLASOFFROADOTHERAPPLICATIONSAREONAIRCRAFTLANDINGGEARSANDBLADEDAMPERSTHEDAMPERCOULDACTDIFFERENTLYWHENSTARTINGUPONTHEGROUNDTHANITWOULDINCRUISEWHENTHEDAMPERWOULDBEINFULLOPERATIONTHISSTUDYHASBEENMOTIVATEDBYTHEATTEMPTTOREPRODUCESOMEPROPRIETARYTESTDATATHATSHOWSAHYDRAULICDAMPERCONFIGUREDASINFIGURES1AND2THEBROADFEATURESOFTHISDATAAREHYSTERESISDELAYEDRESPONSEANDCHATTERINGOSCILLATIONSINTHEBLOWOFFREGIONFIGURE3ISAPLOTOFATYPICALINPUTTOTHESYSTEMTHEPLOTSHOWSTHEDAMPERPISTON’SDISPLACEMENTAGAINSTTIMETIMEHASBEENNORMALISEDTO1PERIODANDTHEDISPLACEMENTHASBEENNONDIMENSIONALISEDASINSECTION43THEMAINMODELLINGANDDYNAMICRESPONSEOFADAMPER121FIGURE3ATYPICALNONDIMENSIONALISEDINPUTDISPLACEMENTASINSECTION43AGAINSTNORMALISEDTIMEFORONECYCLEFIGURE4THEREQUIREDNORMALISEDFORCEOUTPUTAGAINSTNORMALISEDTIMEANDVELOCITYFORONECYCLE8–11,TOOURKNOWLEDGETHEEFFECTSOFTHEPASSIVEBLOWOFFVALVEHAVENOTBEENTREATEDINTHELITERATUREALTHOUGHRELIEFVALVESTREATEDONTHEIROWNHAVEBEENSHOWNTOLEADTONONLINEAR12,13ANDCHAOTICDYNAMICS14THERESULTINGMODELCANBEUSEDTOPREDICTTHEEFFECTOFCHANGINGTHEPROPERTIESOFTHEDAMPERONTHEDYNAMICRESPONSETHEKEYFEATURESINVESTIGATEDARETHESIZESOFTHEORIFICEANDBYPASSTUBEALONGWITHTHESTIFFNESSANDDISCHARGECHARACTERISTICSOFTHESPRINGANDVALVERESPECTIVELYINTHISPAPERASIMPLELUMPEDMASSPARAMETRICMODELISDERIVEDTHATINCORPORATESALLTHESEEFFECTSTHERESTOFTHISPAPERISOUTLINEDASFOLLOWSSECTION2DESCRIBESTHEMODELLINGPROCESSUSEDBYPREVIOUSRESEARCHERSTOMODELFIGURE1ASASIMPLIFICATIONOFANAUTOMOBILESHOCKABSORBERSECTIONS3AND4INVESTIGATESEVERALPOSSIBLEEXTENSIONSTOTHEMODELINSECTION2TOTAKEINTOACCOUNTTHEBLOWOFFFIRSTANEXPLICITMODELISDERIVEDTOGIVETHEFORCEFORAGIVENDISPLACEMENTINPUTTHERELIEFVALVEANDCOMPRESSIBILITYOFTHEFLUIDARETHENCONSIDEREDSEPARATELYAMODELFORTHEWHOLESYSTEMISTHENDERIVEDSECTION5GIVESSOMERESULTSUSINGTHEDIFFERENTMODELSTHEREISALSOADISCUSSIONINSECTION

簡(jiǎn)介：GEOSPATIALINFORMATIONSCIENCE114235242VOLUME11,ISSUE4DOI101007/S11806008009903DECEMBER2008ARTICLEID1009502020080423508DOCUMENTCODEAONSTEREOMODELRECONSTITUTIONINAERIALPHOTOGRAMMETRYYUANXIUXIAOABSTRACTTHISPAPERDESCRIBESTHEOPERATIONALISSUESANDBASICTECHNICALREQUIREMENTSOFMODERNAERIALPHOTOGRAMMETRYTHEACCURACYOFPHOTOGRAMMETRICPOINTDETERMINATIONANDTHEYPARALLAXATCORRESPONDINGMODELPOINTSISANALYZEDWHENSTEREOMODELSARERECONSTITUTEDBYUSINGTHEEXTERIORORIENTATIONELEMENTSOFAERIALIMAGESREALAERIALPHOTOGRAPHS,ATIMAGESCALESFROM12500TO160000,WITHDGPS/IMUDATATAKENFROMVARIOUSTOPOGRAPHIESINCHINAWEREPROCESSEDBYOURPOSSUPPORTEDBUNDLEBLOCKADJUSTMENTPROGRAMWUCAPSTHEEMPIRICALRESULTSVERIFIEDTHATTHEACCURACYOFTHEEXTERIORORIENTATIONELEMENTSFROMBUNDLEBLOCKADJUSTMENTMEETSTHEREQUIREMENTSOFTHESPECIFICATIONSOFTOPOGRAPHICMAPPINGHOWEVER,THEACCURACYOFTHEEXTERIORORIENTATIONELEMENTSDETERMINEDBYPOSFAILSTOMEETTHEREQUIREMENTSOFTHESPECIFICATIONSOFTOPOGRAPHICMAPPINGKEYWORDSAERIALTRIANGULATIONATGPSGLOBALPOSITIONINGSYSTEMPOSPOSITIONANDORIENTATIONSYSTEMSTEREOMODELRECONSTITUTIONGROUNDCONTROLPOINTSGCPSACCURACYCLCNUMBERP2315INTRODUCTIONAERIALPHOTOGRAMMETRYISTHESCIENCEANDTECHNOLOGYFOROBTAINING3DIMENSIONALSPATIALINFORMATIONABOUTTHEEARTH’SSURFACEFROMAERIALIMAGESPHOTOGRAMMETRICPOINTDETERMINATION,WHICHLOCATESGROUNDOBJECTSBYUSINGIMAGES,ISTHEBASISFOROBJECTRECOGNITIONINREMOTESENSINGANDTHEKEYPOINTOFTHISISSUEISTHERAPIDANDACCURATEDETERMINATIONOFANIMAGE’SPOSITIONANDBEHAVIORATTHEINSTANTOFIMAGINGTHISGOALWASMETBYAERIALTRIANGULATIONBASEDONWELLDISTRIBUTEDGCPSWITHTHEDEVELOPMENTOFSPATIALPOSITIONINGTECHNOLOGY,REMOTESENSINGTECHNOLOGY,ANDCOMPUTERSCIENCE,AERIALTRIANGULATIONEVOLVEDANDPROGRESSEDTOWARDSDIGITALMAPPINGWITHOUTGCPSINTHEEARLY1950’S,PHOTOGRAMMETRICSCIENTISTSBEGANSTUDYINGHOWTOUTILIZEVARIOUSAUXILIARYDATATOREDUCETHENUMBEROFGCPSREQUIREDHOWEVER,THEMETHODSHAVEN’TBECOMEPRACTICALDUETOTECHNOLOGICALLIMITATIONS1UNTIL1970’S,WITHTHEEMERGENCEOFAMERICANGLOBALPOSITIONINGSYSTEMGPS,PEOPLEGOTTOADOPTCARRIERPHASEDIFFERENTIALGPSDGPSTECHNOLOGYTODETERMINEANEXPOSURESTATION’SPOSITIONSTHATISTHREELINEARELEMENTSOFAERIALPHOTOSDURINGAERIALPHOTOGRAPHICPROCESS,WHICHWASUSEDTOPERFORMAERIALTRIANGULATIONCALLEDGPSSUPPORTEDATFORSHORTTHATCANDECREASEPHOTOGRAMMETRICRELIANCEONGCPS,SHORTENTHEMAPPINGCYCLE,ANDREDUCERECEIVEDONJULY14,2008SUPPORTEDBYTHENATIONALNATURALSCIENCEFOUNDATIONOFCHINANO40771176,40721001,THEPROGRAMFORNEWCENTURYEXCELLENTTALENTSINUNIVERSITYNONCET040662YUANXIUXIAO,SCHOOLOFREMOTESENSINGANDINFORMATIONENGINEERING,WUHANUNIVERSITY,129LUOYUROAD,WUHAN430079,CHINASTATEKEYLABORATORYOFINFORMATIONENGINEERINGINSURVEYING,MAPPINGANDREMOTESENSING,WUHANUNIVERSITY,129LUOYUROAD,WUHAN430079,CHINAEMAILYXXQXHYWPUBLICWHHBCNDOI101007/S1180600800993YUANXIUXIAO/ONSTEREOMODELRECONSTITUTIONINAERIAL237SHOWNINFIG222GROUNDCONTROLPLANINDIGITALPHOTOGRAMMETRYWORKSTATIONS,AEROTRIANGULATIONISCARRIEDOUTBYTHEMOSTTHEORETICALLYRIGOROUSPROCEDUREOFBUNDLEBLOCKADJUSTMENT,BUTFORTHESAKEOFOBTAININGTHEBESTPASSPOINTS’COORDINATESANDTHEEXTERIORORIENTATIONELEMENTSOFPHOTOS,GROUNDCONTROLPLANSHOULDBEDESIGNED,ASSHOWNINFIG3,FORDIFFERENTPATTERNSOFAERIALPHOTOGRAMMETRYFIG2PATTERNSOFTHEMODERNAERIALPHOTOGRAPHYFIG3DISTRIBUTIONOFGCPSINBUNDLEBLOCKADJUSTMENT23DIGITALMAPPINGTHEORETICALLY,AFTERGETTINGTHEACCURATEEXTERIORORIENTATIONELEMENTSOFIMAGES,MEASURABLESTEREOMODELSCANBERECONSTRUCTEDUSINGMODELRESTORATION,BYWHICHWECANDOSURVEYINGANDMAPPINGOFTERRAINANDOBJECTSAUTOMATICALLYHOWEVER,THECURRENTPROCESSOFPRODUCING4DPRODUCTISSINGLEPHOTOINTERIORORIENTATION→RELATIVEORIENTATIONOFSTEREOPAIR→SINGLEMODELABSOLUTEORIENTATION→SURVEYINGANDMAPPINGONSTEREOMODELSTHEMETHODOFMODELRESTORATIONISONLYADOPTEDINTHEDIRECTGEOREFERENCINGOFPOSSUPPORTEDAERIALPHOTOGRAMMETRY3EXPERIMENTSANDANALYSISTHEREARETWOWAYSOFAERIALPHOTOGRAMMETRICPOSITIONINGONEISCALLEDBLOCKAEROTRIANGULATION,REGARDINGIMAGEPOINTS’COORDINATES,GCPS’COORDINATESAND/ORTHEEXTERIORORIENTATIONELEMENTSOFIMAGESASWEIGHTEDOBSERVEDVALUES,ANDCOMBINEDBUNDLEBLOCKADJUSTMENTISPERFORMEDTOSOLVETHEIMAGES’ORIENTATIONPARAMETERSANDTARGETPOINTS’SPATIALCOORDINATES,SOASTOSUPPLYORIENTATIONCONTROLPOINTSFORSTEREOMODELMAPPINGANDDOHIGHLYACCURATEGEOMETRICPOSITIONINGFORAERIALPHOTOGRAMMETRYOFDIFFERENTSCALESANDTOPOGRAPHICTYPES,TOPOGRAPHICMAPSSPECIFICATIONSFORAEROPHOTOGRAMMETRICOFFICEOPERATIONHASDEFINEDRESPECTIVEAEROTRIANGULATIONMETHOD,GROUNDCONTROLPLAN,ANDALSOCONCRETESTANDARDSFORPASSPOINTACCURACYTHISMETHODISESTABLISHEDANDWIDELYUSEDTHEOTHERISCALLEDDIRECTGEOREFERENCING,UNDERTHESUPPOSITIONTHATHIGHLYACCURATEIMAGEELEMENTSOFEXTERIORORIENTATIONWEREAVAILABLE,SPACEINTERSECTIONISCARRIEDOUTTOCALCULATECORRESPONDINGOBJECTPOINT’SOBJECTSPACECOORDINATESBYUSINGPHOTOCOORDINATESYSTEM’SCOORDINATESOFCONJUGATIVEIMAGEPOINTSINSTEREOPAIRSTHISAPPROACHDIRECTLYDETERMINESTHEOBJECT’SPOSITION,SO4DPRODUCTSCANBEPRODUCEDTHENTHEPAPERWILLMAINLYDISCUSSHOWWELLTHEPOSITIONINGACCURACYCANBEACHIEVEDANDTHESTEREOMODELYPARALLAXWHENUSINGIMAGEEXTERIORORIENTATIONELEMENTSOBTAINEDINVARIOUSWAYS

簡(jiǎn)介：HIGHSMOOTHNESSGRINDINGOFALUMINUMALLOYWITHSURFACETRAVERSEGRINDINGODAKITOSHIMI1,YASUIHEIJI2ANDTOMITASUSUMU11DEPTOFMECHANICALENGINEERING,SHOUNANINSTITUTEOFTECHNOLOGYNISHIKAIGAN1125,TSUJIDO,FUJISAWA,JAPAN2DEPTOFMECHANICALENGINEERINGMATERIALSSCIENCE,KUMAMOTOUNIVERSITYKUROKAMI2391,KUMAMOTO,JAPANABSTRACTHIGHSMOOTHNESSMACHININGOFALUMINUMALLOYHASBEENINCREASINGLYBECOMINGIMPORTANTGENERALLYALUMINUMALLOYISFINISHEDSMOOTHLYBYCUTTINGWITHDIAMONDTOOLHIGHSMOOTHNESSGRINDINGOFALUMINUMALLOY,HOWEVER,HASBEENSTRONGLYDESIREDBECAUSEOFTHEDIFFICULTYOFRESHARPENINGOFDIAMONDTOOLINTHEREPORT,THEINFLUENCEOFSURFACETRAVERSEGRINDINGCONDITIONSONHIGHSMOOTHNESSGRINDINGOFALUMINUMALLOYISEXAMINEDBYTHECOMPARISONSOFTHEDRESSINGANDGRINDINGCHARACTERISTICSTHEEXPERIMENTAREEXECUTEDUSINGTHERESINOIDBONDEDDIAMONDWHEELOFCOARSEGRAINSIZEANDTWOTYPESOFGRINDINGFLUIDSWHICHARETHETWOKINDSOFEMULSIONTYPE,THATIS,THECONVENTIONALEMULSIONTYPEANDTHESPECIALEMULSIONTYPEINCLUDINGTHEEXTREMEPRESSUREADDITIVESFROMTHERESULTSITISFOUNDTHATTHECHARACTERISTICOBTAINEDBYUSINGTHESPECIALEMULSIONTYPEISMUCHBETTERTHANTHECONVENTIONALEMULSIONTYPEKEYWORDSALUMINUMALLOY,HIGHQUALITYCOMPONENT,HIGHSMOOTHNESSGRINDING,SURFACEROUGHNESS,TRAVERSESURFACEGRINDING,DIAMONDWHEEL,COARSEGRAINSIZE,GRINDINGFLUID,EXTREMEPRESSUREADDITIVES1INTRODUCTIONALUMINUMALLOYISUSEDALOTOFFIELDININDUSTRIESRECENTLYTHEPRODUCTIVELYHIGHSMOOTHNESSMACHININGTECHNIQUEHASBEENSTRONGLYREQUIREDBECAUSEOFTHEINCREASEOFDEMANDOFITSHIGHQUALITYVGGRINDINGWHEELCUTTINGEDGEWORKPIECEVWPPARALLELTABLESPEEDFIG1TRAVERSEGRINDINGMETHODWITHHORIZONTALTYPESURFACEGRINDERFIG2COMPOSITEWHEELCROSSSECTIONROUGHNESSNORMALTOGRINDINGDIRECTIONFORMEDBYCOMPOSINGTHEOUTMOSTPERIPHERALWHEELSURFACEATEACHWHEELAXISCROSSSECTIONSURFACEROUGHNESS”BECAUSETHENORMALSURFACEROUGHNESSISSOLARGERTHANTHESURFACEROUGHNESSPARALLELTOGRINDINGDIRECTIONTHESURFACEROUGHNESSISOBTAINEDBYAVERAGING9MEASURINGPOINTSTHESTATEOFCUTTINGEDGEANDLOADINGONWHEELSURFACEISOBSERVEDBYAMICROSCOPEGRINDINGFORCEISMEASUREDBYAPIEZOELECTRICTYPEOFDYNAMOMETER4INFLUENCEOFDRESSINGFLUIDSONDRESSINGEFFICIENCYINTHEUSUALGRINDINGOPERATION,THEDRESSINGFLUIDISGENERALLYTHESAMEASGRINDINGFLUIDUSEDJUSTAFTERDRESSINGTHEN,FIRSTOFALL,THEINFLUENCEOFDRESSINGFLUIDONTHEFORMATIONOFWHEELSURFACEISEXAMINEDFIG4SHOWSTHECHANGEOFTHEHEIGHTOFCUTTINGEDGEAPPEAREDFROMTHEBONDSURFACEWITHDRESSINGVOLUMEOFWASTICKFORTWOTYPESOFDRESSINGFLUIDS,THATIS,THEECTYPEANDTHEESTYPEITISCLEARTHATTHEHEIGHTUSINGTHEESTYPEISHIGHERATTHESAMEDRESSINGVOLUMETHANTHEECTYPEEXTREMEPRESSUREADDITIVESHAVEGOODINFLUENCEONTHEREMOVALOFBONDTHEREASONISCONSIDEREDWHYTHEEXTREMEPRESSUREADDITIVESPREVENTTHELOADINGCAUSEDFROMTHEREADHESIONTOWHEELSURFACEOFBONDREMOVEDBYDRESSING25CHANGEOFSURFACEROUGHNESSWITHGRINDINGPASSESFIG5SHOWSTHECHANGEOFSURFACEROUGHNESSWITHGRINDINGPASSESFORGRINDINGFLUIDTYPESOFTHEECTYPEANDESTYPETHEGRINDINGEXPERIMENTSAREBEGUNAFTERTHEWHEELSURFACEISDRESSEDBYTHESAMETYPEOFDRESSINGFLUIDASGRINDINGFLUIDUNTILTHEHEIGHTOFCUTTINGEDGEFROMTHEBONDSURFACEBECOMESABOUT10ΜMITISCLEARFROMTHERESULTSTHATTHESURFACEROUGHNESSUSINGTHEESTYPEBECOMESOVERTWOTIMESROUGHERTHANTHEESTYPETHESURFACEROUGHNESSUSINGTHEESTYPEISKEPTALMOSTTHESAMEOF1ΜMRZUNTIL100GRINDINGPASSESUSINGTHEECTYPE,ONTHEOTHERHAND,THESURFACEROUGHNESSISABOUT2ΜMRZAT60GRINDINGPASSESFROMTHERESULTS,ITISCONSIDEREDTHATTHEWHEELSURFACEFORMEDBYDRESSINGHASGREATINFLUENCEONTHEGROUNDSURFACEROUGHNESSTHEEXTREMEPRESSUREADDITIVESAREREFERREDTOHAVEGOODEFFECTONTHEFORMATIONOFPROPERWHEELSURFACE3FURTHERMORE,THESURFACEROUGHNESSUSINGTHEECTYPEBEGINSTOBECOMESTEEPLYLARGERWITHTHEINCREASEOFGRINDINGPASSESINTHERANGEOFGRINDINGPASSESBEYOND60PASSES5101520253001234567DRESSINGVOLUMEOFWASTICKMV10MM3VD20M/STD1MMVWP01M/MINWA150HESTYPEECTYPEFIG4CHANGEOFTHETOPHEIGHTOFCUTTINGEDGEAPPEAREDFROMTHEBONDSURFACEWITHDRESSINGVOLUMEFORTWOTYPESOFDRESSINGFLUIDSESTYPEECTYPEVG20M/STG1ΜMVWP10M/MINFN025MM/PASS123020406080100GRINDINGPASSESNGFIG5CHANGEOFSURFACEROUGHNESSWITHGRINDINGPASSESFORGRINDINGFLUIDSOFTHEECTYPEANDTHEESTYPEPROCESSFORGRINDINGFLUIDSOFTHEECTYPEANDTHEESTYPE1234ESTYPEECTYPEVG20M/STG1ΜMVWP10M/MINFN025MM/PASS020406080100GRINDINGPASSESNGFIG6CHANGEOFSURFACEROUGHNESSWITHGRINDINGPASSESFORGRINDINGFLUIDSOFTHEECTYPEANDTHEESTYPE

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簡(jiǎn)介：APPLIEDSOFTCOMPUTING1320132683–2691CONTENTSLISTSAVAILABLEATSCIVERSESCIENCEDIRECTAPPLIEDSOFTCOMPUTINGJOURNALHOMEPAGEWWWELSEVIERCOM/LOCATE/ASOCWAVELETBASEDNEURODETECTORFORLOWFREQUENCIESOFVIBRATIONSIGNALSINELECTRICMOTORSDUYGUBAYRAM?,SERHATS?EKERISTANBULTECHNICALUNIVERSITY,ELECTRICALENGINEERINGDEPARTMENT,34469ISTANBUL,TURKEYARTICLEINFOARTICLEHISTORYRECEIVED23SEPTEMBER2010RECEIVEDINREVISEDFORM1SEPTEMBER2012ACCEPTED24NOVEMBER2012AVAILABLEONLINE11DECEMBER2012KEYWORDSAUTOASSOCIATIVENEURALNETWORKMULTIRESOLUTIONWAVELETTRANSFORMELECTRICMOTORAGINGVIBRATIONBEARINGDAMAGEABSTRACTTHISSTUDYPRESENTSAWAVELETBASEDNEURODETECTORAPPROACHEMPLOYEDTODETECTTHEAGINGINDICATIONSOFANELECTRICMOTORANALYSISOFTHEAGINGINDICATIONS,WHICHCANBESEENINTHELOWFREQUENCYREGION,ISPERFORMEDUSINGVIBRATIONSIGNALSMORESPECIFICALLY,TWOVIBRATIONSIGNALSAREOBSERVEDFORHEALTHYANDFAULTYAGEDCASESWHICHAREMEASUREDFROMTHESAMEELECTRICMOTORMULTIRESOLUTIONWAVELETANALYSISMRWAISAPPLIEDINORDERTOOBTAINLOWANDHIGHFREQUENCYBANDSOFTHEVIBRATIONSIGNALSTHUSFORDETECTINGTHEAGINGPROPERTIESINTHESPECTRA,THEPOWERSPECTRALDENSITYPSDOFTHESUBBANDFORTHEHEALTHYCASEISUSEDTOTRAINANAUTOASSOCIATIVENEURALNETWORKAANNTHEPSDAMPLITUDES,WHICHARECOMPUTEDFORTHEFAULTYCASE,AREAPPLIEDTOINPUTNODESOFTHETRAINEDNETWORKFORTHERECALLINGPROCESSOFAANNCONSEQUENTLY,THESIMULATIONRESULTSSHOWTHATSOMESPECTRALPROPERTIESDEFINEDINLOWFREQUENCYREGIONAREDETERMINEDTHROUGHTHEERRORRESPONSEOFAANNHENCE,SOMESPECIFICFREQUENCIESOFTHEBEARINGDAMAGERELATEDTOTHEAGINGPROCESSAREDETECTEDANDIDENTIFIED?2012ELSEVIERBVALLRIGHTSRESERVED1INTRODUCTIONINDUCTIONMOTORISTHEMOSTPOPULARELECTRICMOTORTYPEBECAUSEOFITSSIMPLECONSTRUCTIONANDLONGLIFEWITHOUTMAINTENANCENEEDINTHELITERATURE,THEREARELOTSOFSTUDIESRELATEDTOTHEDEVELOPMENTANDRESEARCHOFINDUCTIONMOTORSTHEPERFORMANCESTUDIESAREGENERALLYBASEDONELECTRICAL,MECHANICALANDTHERMALPARAMETERSLIKEVOLTAGE,CURRENT,TORQUE,TEMPERATURE,NOISE,ETCTHESEPARAMETERSREFLECTVERYIMPORTANTHINTSABOUTTHEPERFORMANCEANDWORKINGCONDITIONOFTHEELECTRICMOTORSTHEPROGNOSTICANDDIAGNOSTICSTUDIESONINDUCTIONMOTORSAREANOTHERIMPORTANTASPECTINPROVIDINGTHEOPERATIONALCONTINUITYOFTHEINDUSTRIALPROCESS1–3ANDALSO,CONDITIONMONITORINGSTUDIESGAINIMPORTANCEINEARLYDETECTIONOFFAILUREINSOMECRITICALSYSTEMSLIKENUCLEARPOWERPLANTSANDPETROCHEMICALPROCESSES4,5INTHISSENSE,THEREARESOMANYSTUDIESAIMINGFINDINGOUTTHESOURCESOFDEGRADATIONSONINDUCTIONMOTORSMECHANICALFAILURESRELATEDTOTHEMANUFACTURINGHAVETHEGREATESTMAJORITYINTERMSOFABBREVIATIONSMRWA,MULTIRESOLUTIONWAVELETANALYSISPSD,POWERSPECTRALDENSITYAANN,AUTOASSOCIATIVENEURALNETWORKDWT,DISCRETEWAVELETTRANSFORMBPF,BALLPASSFREQUENCYEDM,ELECTRICALDISCHARGEMACHINING?CORRESPONDINGAUTHORATISTANBULTECHNICALUNIVERSITY,ELECTRICALANDELECTRONICSFACULTY,ELECTRICALENGINEERINGDEPARTMENT,34469MASLAK,ISTANBUL,TURKEYTEL902122856736FAX902122856700EMAILADDRESSESBAYRAMDITUEDUTRDBAYRAM,SEKERSITUEDUTRSS?EKERTHEENCOUNTEREDFAULTS1THESEARERESPECTIVELYBEARING,BALANCEANDALIGNMENTDEFECTS6–9INTHISMANNER,SOMESIGNALPROCESSINGMETHODSAREUSEDTOEXTRACTTHEHIDDENHINTSANDINFORMATIONOFTHEFAULTSIGNATURES10–14VIBRATIONSIGNALSUSUALLYSHOWCRUCIALINDICATIONSABOUTAGINGOFTHEELECTRICMOTORWHEREASELECTRICALSIGNALSCARRYHINTSONLYBECAUSEOFTHIS,VIBRATIONSIGNALSAREUSEDINVARIOUSSTUDIESINTHELITERATURE13–22FOREXAMPLE,THEYCANBEUSEDTODEFINEATRANSFERFUNCTIONOFAGINGPROCESSINELECTRICMOTOR15INTHELITERATURE,SOMESTATISTICALTECHNIQUESAREAPPLIEDTOTHEVIBRATIONSIGNALSINORDERTODETECTAGINGEFFECTSANDHENCEITISFIGUREDOUTTHATSOMESTATISTICALPARAMETERSCHANGEBYAGING16ANDALSO,ITISPOINTEDOUTSOMECORRELATIONSBETWEENVIBRATION’SSPECTRALDENSITYANDAGINGDEFECTS17–20MOTORVIBRATIONSIGNALSAREALSOUSEDTOEXTRACTSOMEFEATURESOFBEARINGAGINGBYWAVELETTRANSFORMSFROMTHISPOINTOFVIEW,MAJOREFFECTSOFTHEBEARINGDAMAGEAREDETECTEDINTHEHIGHFREQUENCYBANDBETWEEN2AND4KHZ21,22THEAIMOFTHISSTUDYISTOANALYZETHEELECTRICMOTORVIBRATIONSIGNAL’SLOWFREQUENCYBANDUSINGAWAVELETBASEDNEURODETECTORAPPROACH,INORDERTOEXTRACTITSAGINGEFFECTSANDDEFECTSHOWEVER,THEREISNOENCOUNTEREDSTUDYWHICHOBSERVESTHEROLEOFTHELOWFREQUENCYBANDINTHEINVESTIGATIONOFTHEAGINGEFFECTSTHISISTHEMOSTIMPORTANTCONTRIBUTIONOFTHISSTUDYINTERMSOFEXTRACTIONOFTHEAGINGEFFECTS,ASWELLASUSEDMETHODOLOGYANEXPERIMENTALSETUPISREALIZEDTOOBTAINTHEVIBRATIONSIGNALTOGETHERWITHELECTRICALSIGNALSINTHEEXPERIMENT,THEVIBRATIONSIGNALSOFA5HPELECTRICMOTORARERECORDEDBYTWOACCELEROMETERSINORDERTOARRANGETHEDATA,ASIGNALCONDITIONERISUSEDBEFORESTORINGTHEDATAONAREGULAR15684946/–SEEFRONTMATTER?2012ELSEVIERBVALLRIGHTSRESERVEDHTTP//DXDOIORG/101016/JASOC201211019DBAYRAM,SS?EKER/APPLIEDSOFTCOMPUTING1320132683–26912685FIG2MRWAATNTHLEVELPROCESSTHEOUTPUTSOFTHEHIGHFREQUENCYFILTERSARENAMEDASDETAILSDJ,THEOUTPUTSOFTHELOWFREQUENCYFILTERSARENAMEDASAPPROXIMATIONSAJTHESCHEMATICINTERPRETATIONOFTHENLEVELMULTIRESOLUTIONWAVELETANALYSISISSHOWNINFIG2,HEREJISTHEDECOMPOSITIONLEVELTHESIGNALREPRESENTATIONCANBEGIVENASINEQ4STD1D2D3DJAJ423AUTOASSOCIATIVENEURALNETWORKSAUTOASSOCIATIVENEURALNETWORKAANNISAFEEDFORWARD,FULLYCONNECTED,MULTILAYERPERCEPTRONNETWORKTHEDIMENSIONSOFTHEINPUTANDOUTPUTLAYERSAREEQUALTOEACHOTHERINTHEAANNTOPOLOGYALSO,THENUMBEROFTHE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