Ordenacao-iago

NoiseandVibrationAnalysisisacompleteandpracticalguidethatcombinesbothsignalprocessingandmodalanalysistheorywiththeirpracticalapplicationinnoiseandvibrationanalysis.Itprovidesaninvaluable,integratedguideforpracticingengineersaswellasasuitableintroductionforstudentsnewtothetopicofnoiseandvibration.Takingapracticallearningapproach,Brandtincludesexercisesthatallowthecontenttobedevelopedinanacademiccourseframeworkorassupplementarymaterialforprivateandfurtherstudy.

翱翔器方案业余必备货物，能够帮你快捷患上到罕用翼型的数据，

matlab对naca0012翼型的网格划分文件，其中interfunction是翼型外形函数

AG'sNewsTopicClassificationDatasetVersion3,Updated09/09/2015ORIGINAGisacollectionofmorethan1millionnewsarticles.Newsarticleshavebeengatheredfrommorethan2000newssourcesbyComeToMyHeadinmorethan1yearofactivity.ComeToMyHeadisanacademicnewssearchenginewhichhasbeenrunningsinceJuly,2004.Thedatasetisprovidedbytheacademiccomunityforresearchpurposesindatamining(clustering,classification,etc),informationretrieval(ranking,search,etc),xml,datacompression,datastreaming,andanyothernon-commercialactivity.Formoreinformation,pleaserefertothelinkhttp://www.di.unipi.it/~gulli/AG_corpus_of_news_articles.html.TheAG'snewstopicclassificationdatasetisconstructedbyXiangZhang(xiang.zhang@nyu.edu)fromthedatasetabove.Itisusedasatextclassificationbenchmarkinthefollowingpaper:XiangZhang,JunboZhao,YannLeCun.Character-levelConvolutionalNetworksforTextClassification.AdvancesinNeuralInformationProcessingSystems28(NIPS2015).DESCRIPTIONTheAG'snewstopicclassificationdatasetisconstructedbychoosing4largestclassesfromtheoriginalcorpus.Eachclasscontains30,000trainingsamplesand1,900testingsamples.Thetotalnumberoftrainingsamplesis120,000andtesting7,600.Thefileclasses.txtcontainsalistofclassescorrespondingtoeachlabel.Thefilestrain.csvandtest.csvcontainallthetrainingsamplesascomma-sparatedvalues.Thereare3columnsinthem,correspondingtoclassindex(1to4),titleanddescription.Thetitleanddescriptionareescapedusingdoublequotes("),andanyinternaldoublequoteisescapedby2doublequotes("").Newlinesareescapedbyabackslashfollowedwithan"n"character,thatis"\n".

TheySayISayTheMovesThatMatterinAcademicWriting(ThirdEdition)2014GeraldGraffCathyBirkenstein.典范英文论文写作指南。

一个小的使用软件，大家把翼型型号输入，就会出来翼型，希望对大家有用，新手，大家多多支持

ThisisamuchneededbookrecognizingthatVSCtechnologyisrapidlydevelopingasitappliestoelectricpowersystems.ItissorapidthatitischallengingtokeepupwithVSCconfigurationsandcontrolthatcontinuetoemergeandfindapplicationsinpowersystems.Itisimportanttorealizethattheconventionalthyristor-basedconverterorlineco妹妹utatedconverter(LCC)withitscontrolsandprotectionrequirementsarefarlesstechnicallychallengingthanVSCtechnologiesappliedtowindturbinegeneratorsandVSCtransmission.TheauthorsemphasizethebasicmoduleofaVSCvalve,thehalf-bridgeconverter.ItisoftenappliedasthebuildingblockforVSCsthatinterfacebetweenacanddcsystems.

这是NACA0012翼型的坐标数据，欢迎有需求的朋友下载。

TheCAS-PEALfacedatabasehasbeenconstructedunderthesponsorsofNationalHi-TechProgramandISVISIONbytheFaceRecognitionGroupofJDL,ICT,CAS.ThegoalstocreatethePEALfacedatabaseinclude:providingtheworldwideresearchersofFRcommunityalarge-scaleChinesefacedatabasefortrainingandevaluatingtheiralgorithms;facilitatingthedevelopmentofFRbyprovidinglarge-scalefaceimageswithdifferentsourcesofvariations,especiallyPose,Expression,Accessories,andLighting(PEAL);advancingthestate-of-the-artfacerecognitiontechnologiesaimingatpracticalapplicationsespeciallyfortheoriental.Currently,theCAS-PEALfacedatabasecontains99,594imagesof1040individuals(595malesand445females)withvaryingPose,Expression,Accessory,andLighting(PEAL).Foreachsubject,9camerasspacedequallyinahorizontalsemicircularshelfaresetuptosimultaneouslycaptureimagesacrossdifferentposesinoneshot.Eachsubjectisalsoaskedtolookupanddowntocapture18imagesinanothertwoshots.Wealsoconsidered5kindsofexpressions,6kindsaccessories(3glasses,and3caps),and15lightingdirections.Thisfacedatabaseisnowpartlymadeavailable(asubsetnamedbyCAS-PEAL-R1,contain30,900imagesof1040subjects)forresearchpurposeonlyonacase-by-casebasisonly.JDLisservingasthetechnicalagentfordistributionofthedatabaseandreservesthecopyrightofalltheimagesinthedatabase.

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。