Theacceleratingdeploymentoflarge-scaleweb,cloud,BigData,andvirtualizedcomputingsystemshasintroducedseriousnewchallengesinperformanceoptimization.Untilnow,however,littlereliable,practicalinformationhasbeenavailabletoITprofessionalswhoareresponsibleforrunningthesesystemsefficientlyandcost-effectively.SystemsPerformance:EnterpriseandtheCloudisthesolution.InternationallyrenownedperformanceoptimizationexpertBrendanGreggbringstogetherstate-of-the-arttechniquesandtoolsforanalysisandtuningoflarge-scaleweb/cloudcomputingenvironments.GreggfocusesonLinux/Unix/Solarisperformanceissues,whileofferingprovenmethodologiesanddiscussingkeyissuesthatapplytoallenterpriseoperatingsystems.Coverageincludes:Modernperformanceanalysisandcapacityplanning,includingkeyissuessuchaslatencyanddynamictracingNewperformanceandreliabilitychallengesassociatedwithcloudcomputingMethodology,concepts,terminology,tools,andmetricsKeytradeoffs,includingproblemsofloadvs.architectureTuningoperatingsystems,CPUs,memory,filesystems,disks,networks,andbussesTuningvirtualizedsystemsProgramminglanguageissuesrelatedtoperformance—includingapplicationprofilingforC,C++,Java,andnode.jsBenchmarkingstrategiesandpitfalls,includingcustommicrobenchmarking

Mega-Fiers_2.44.unitypackageScrubbingtimevalueonPointCachemodifierwillnowupdatemeshifanimateisturnedoff.Addedoptiontomorphinspectortoshowmappingdatasoincaseoffailuresitcanhelpshowwhattheissueis.Tolerancevalueaddedtoinspector,forsomeverylargemesheswithmorphsyoumayneedtoincreasethisvalue.FixederrorintheBlenderexporterifyourmorphhadnoanimations.FixedMax2013and2014morphexporters,werecrashingonprogressivemorphtargets.FixedmissingnamesonprogressivemorphtargetsonMax2013and14exporters.FixedmissingfirsttargetpercentvalueinprogressivemorphswhenusingMax2013and14exporters.Mayaexporterupdatedsoonlyselectedblendshapeisexportedinsteadofallblendshapes.

Badclimatechangemaygreatlyincreasethefragilityofthecountry.Howtoevaluatetheimpactofclimatechangeandmitigatetheimpactofclimatechangehasbecomeanurgentproblem.Withregardtotaskone,adataenvelopmentanalysis(DEA)modelisestablishedtogetthecountry'sfragility.Firstofall,weselected4climatefactorsasinputindicatorsand5outputindicators.Then,weusetheentropymethodtodeterminetheweightandthenthenationalvulnerabilityisdivided.Atthesametime,wegettheconclusionthattemperatureaffectsGDPandthetimesofarmedconflictdirectlyandaffectsthefragilityindirectly.Inviewoftasktwo,wechooseSomaliaasanobjectofstudy.First,alltheindexesaredividedinto5levelsbythemethodofclusteranalysis.Second,weselect10countriesincludingSomalia,tosolvethedecisionunitmatrix.Then,usingthemodeloftheproblemone,itisfoundthattheincreaseintemperatureandrainfallwillcausethenationalvulnerabilitytoriseanddecrease,respectively.Finally,weassign4climateindicatorsto0ofthedecisionunits,anddrawtheconclusionthatnationalvulnerabilitywillbereducedwithouttheimpactofclimatefactors.Whenitcomestotaskthree,weusetheroughsettheorytoreducetheoutputindextothenumberofarmedconflicts.Then,weusetheBPneuralnetworkmodeltopredicttheconclusion:Thereisasignificantincreaseinfragilityincasesofmuchmorearmedconflictandabnormaltemperature.Whentheaverageannualarmedconflictiscertain,thenationalvulnerabilityindexwillfaceanincreasingturningpointatthetemperatureof10.01andtherainfallof1823mm.Astotaskfour,threepoliciesonenergyreductionandemissionreductionissuedbythegovernmenthavebeenselected,andamodelofcarboncycleisestablished.TakingChinaasanexample,wecalculatetheextentofthechangeoftheaveragetemperaturebyreducingthecarbondioxideemiss

这是MathematicsforComputerScience,MIT6.042J-Fall2010-Lecture6(MatchingProblems)的笔记PDF版（TeddyvanJerry整理），文件中有网课的地址链接。

Masterthetechnicalskillsandindustryknow-howtobeginanexcitingcareerinstalling,configuring,andtroubleshootingcomputernetworkswiththecompletelyupdatedNETWORK+GUIDETONETWORKS,7E.YoucanprepareforsuccessonCompTIA'sNetwork+N10-006certificationexamwithfullymappedcoverageofallobjectives,includingprotocols,topologies,hardware,networkdesign,andtroubleshooting.Thiseditionaddressestoday'slatesttechnologywithnewfeaturesthatmakeessentialinformationeasilyaccessibleandhelpyouvisualizehigh-levelconcepts.NewOSIlayericonsvisuallylinkconceptsandtheOSImodel.Newandupdated"OntheJob"stories,ApplyingConceptsactivities,Hands-OnandCaseProjectsletyouexploreconceptsinmoredepth.TheNETWORK+GUIDETONETWORKS,7E'semphasisonreal-worldproblemsolvingprovidesthetoolsyouneedtosucceedinanycomputingenvironment.

DataMining:TheTextbookBy作者:CharuC.AggarwalISBN-10书号:3319141414ISBN-13书号:9783319141411Edition版本:2015出版日期:2015-04-14pages页数:(734)$89.99Thistextbookexploresthedifferentaspectsofdataminingfromthefundamentalstothecomplexdatatypesandtheirapplications,capturingthewidediversityofproblemdomainsfordataminingissues.Itgoesbeyondthetraditionalfocusondataminingproblemstointroduceadvanceddatatypessuchastext,timeseries,discretesequences,spatialdata,graphdata,andsocialnetworks.Untilnow,nosinglebookhasaddressedallthesetopicsinacomprehensiveandintegratedway.Thechaptersofthisbookfallintooneofthreecategories:Fundamentalchapters:Datamininghasfourmainproblems,whichcorrespondtoclustering,classification,associationpatternmining,andoutlieranalysis.Thesechapterscomprehensivelydiscussawidevarietyofmethodsfortheseproblems.Domainchapters:Thesechaptersdiscussthespecificmethodsusedfordifferentdomainsofdatasuchastextdata,time-seriesdata,sequencedata,graphdata,andspatialdata.Applicationchapters:Thesechaptersstudyimportantapplicationssuchasstreammining,Webmining,ranking,recommendations,socialnetworks,andprivacypreservation.Thedomainchaptersalsohaveanappliedflavor.Appropriateforbothintroductoryandadvanceddataminingcourses,DataMining:TheTextbookbalancesmathematicaldetailsandintuition.Itcontainsthenecessarymathematicaldetailsforprofessorsandresearchers,butitispresentedinasimpleandintuitivestyletoimproveaccessibilityforstudentsandindustrialpractitioners(includingthosewithalimitedmathematicalbackground).Numerousillustrations,examples,andexercisesareincluded,withanemphasisonsemanticallyinterpretableexamples.

PetrifyisatoolforthesynthesisofboundedPetrinetsandlogicsynthesisofasynchronouscontrollers.PetrifyinitiallyperformsatokenflowanalysisofthePetrinetandproducesafinitetransitionsystem(TS).IntheinitialTS,alltransitionswiththesamelabelareconsideredasoneevent.TheTSisthentransformedandtransitionsrelabeledtofulfiltheconditionsrequiredtoobtainaPetrinetwithbisimilarortrace-equivalentbehavior.SomepropertiesforthesynthesizedPetrinetcanbeimposed(e.g.free-choice,uniquechoice,pure,state-machinedecomposable,etc.).Additionally,petrifycaninterpretthePetrinetasaSignalTransitionGraph(STG),inwhicheventsrepresentrising/fallingtransitionsofdigitalsignals.FromanSTG,petrifycansynthesizeaspeed-independentcircuitbysolvingtheproblemsofstateencoding,logicsynthesis,logicdecompositionandtechnologymappingontoagatelibrary.Petrifycanalsosynthesizecircuitundertimingassumptionsspecifiedbythedesignerorautomaticallygeneratedbythetool.PetrifyreadstheinputdescriptionfromstdinandwritestheresultingSTGtostdoutunlessotherwisespecified

说明：??轴系测试程序，多通道输入输出，实现时域、频域、轴心轨迹、瀑布图等功能。
(Shaftingtestprogram,multi-channelinputandoutput,toachievetimedomain,frequencydomain,orbit,waterfallandotherfunctions.)

spi主机程序STM32CubeMx生成Hal库DMA发送接收intmain(void){/*USERCODEBEGIN1*//*USERCODEEND1*//*MCUConfiguration--------------------------------------------------------*//*Resetofallperipherals,InitializestheFlashinterfaceandtheSystick.*/HAL_Init();/*USERCODEBEGINInit*//*USERCODEENDInit*//*Configurethesystemclock*/SystemClock_Config();/*USERCODEBEGINSysInit*//*USERCODEENDSysInit*//*Initializeallconfiguredperipherals*/MX_GPIO_Init();MX_DMA_Init();MX_USART1_UART_Init();MX_SPI5_Init();/*USERCODEBEGIN2*/// HAL_UART_Receive_DMA(&huart1,rxBuffer,BUFFER_SIZE); /*USERCODEEND2*//*Infiniteloop*//*USERCODEBEGINWHILE*/while(1){ HAL_GPIO_WritePin(GPIOF,GPIO_PIN_6,GPIO_PIN_RESET); spi_tx[0]=6; spi_tx[1]=7; spi_tx[2]=8; spi_tx[3]=9; memset(spi_rx,0,BUFFER_SIZE); HAL_SPI_TransmitReceive_DMA(&hspi5,spi_tx,spi_rx,BUFFER_SIZE); HAL_GPIO_WritePin(GPIOF,GPIO_PIN_6,GPIO_PIN_SET); HAL_Delay(1000);/*USERCODEENDWHILE*//*USERCODEBEGIN3*/}/*USERCODEEND3*/}

DroidSansFallback.ttfDroidSansFallback.ttfDroidSansFallback.ttfDroidSansFallback.ttf

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。