非扫描版ComputerArchitecture:AQuantitativeApproach,SixthEditionhasbeenconsideredessentialreadingbyinstructors,studentsandpractitionersofcomputerdesignforover20years.Thesixtheditionofthisclassictextbookisfullyrevisedwiththelatestdevelopmentsinprocessorandsystemarchitecture.ItnowfeaturesexamplesfromtheRISC-V(RISCFive)instructionsetarchitecture,amodernRISCinstructionsetdevelopedanddesignedtobeafreeandopenlyadoptablestandard.Italsoincludesanewchapterondomain-specificarchitecturesandanupdatedchapteronwarehouse-scalecomputingthatfeaturesthefirstpublicinformationonGoogle'snewestWSC.

原创小工具7kbscandomaingather(搜索引擎资产查询工具)

讲述alphazero的原文，发表在nature。
Along-standinggoalofartificialintelligenceisanalgorithmthatlearns,tabularasa,superhumanproficiencyinchallengingdomains.Recently,AlphaGobecamethefirstprogramtodefeataworldchampioninthegameofGo.ThetreesearchinAlphaGoevaluatedpositionsandselectedmovesusingdeepneuralnetworks.Theseneuralnetworksweretrainedbysupervisedlearningfromhumanexpertmoves,andbyreinforcementlearningfromself-play.Hereweintroduceanalgorithmbasedsolelyonreinforcementlearning,withouthumandata,guidanceordomainknowledgebeyondgamerules.AlphaGobecomesitsownteacher:aneuralnetworkistrainedtopredictAlphaGo’sownmoveselectionsandalsothewinnerofAlphaGo’sgames.Thisneuralnetworkimprovesthestrengthofthetreesearch,resultinginhigherqualitymoveselectionandstrongerself-playinthenextiteration.Startingtabularasa,ournewprogramAlphaGoZeroachievedsuperhumanperformance,winning100–0againstthepreviouslypublished,champion-defeatingAlphaGo.

BlockchainconceptsandtheHyperledgertechnologiesarehottopics.Hyperledgerisanopensourceprojecttocreateprivateblockchainapplicationsfordifferentdomainsincludingfinance,banking,supplychain,IoTandmuchmore.ThisbookwillbeaneasyreferencetoexploreandbuildblockchainnetworksusingHyperledgerservices.ThisbookwillstartwithexplainingtheblockchainevolutionandthenproceedtoanoverviewoftechnologieslikeEthereum,R3Corda,Coco,andHyperledger.WewilllearnhowtosetupandlaunchHyperledgerFabricinBluemix.WewilllookintothearchitectureandthecomponentsofHyperledgerFabricwhichareusedtobuildprivateblockchainapplications.LaterwewilldelveintohowwecaninteractwithHyperledgerFabricblockchaintobuildprivatenetworksfromscratchcoveringalltherequiredprinciplessuchaschaincode,smartcontracts,cryptocurrenciesandmuchmoreontheHyperledgernetwork.Bytheendofthisbook,youwillbeabletobuildanddeployyourowndecentralizedapplicationsusingHyperledgeraddressingkeypainpointsencounteredinblockchainlifecycle.

ThedocumentslistedontheSolutionDocumentationtabarethelatestrevisionsfortheCiscoHCS11.5baselinerelease.SomeHCScomponents,suchasCiscoUnifiedCommunicationsDomainManager,areupdatedseveraltimesbetweenbaselinereleasesandaregiventertiaryreleasenumbers(eg.,11.5(1),

CISSPDomain3SecurityArchitectureandEngineering（ch6.pdf

说明地址；
http://www.pudn.com/Download/item/id/3670502.html；
某高校现有两个地理位置分离的分校区，每个校区入网信息点有2000多个，现准备通过科教网接入因特网，但从科教网只申请到4个C类网络（202.96.1.0——202.96.4.0），为了安全，要求每个分校区的学生公寓子网和教师子网不在同一广播域。
同时，学校有若干台应用服务器，同时对内和对外提供Web等网络服务。
(Therearetwoseparatecampusesinacertainuniversity.Therearemorethan2000intranetinformationpointsineachcampus.NowwearereadytoaccesstheInternetthroughthescienceandeducationnetwork,butonly4Cnetworks(202.96.1.0-202.96.4.0)areappliedfromthescienceandeducationnetwork.Inordertobesafe,thestudents'apartmentnetworkandtheteachersubnetineachsubcampusarenotthesame.Broadcastdomain.Atthesametime,thereareseveralapplicationserversintheschool,andWebandotherInternetservicesareprovidedinternallyandexternally.)

Deeplearningallowscomputationalmodelsthatarecomposedofmultipleprocessinglayerstolearnrepresentationsofdatawithmultiplelevelsofabstraction.Thesemethodshavedramaticallyimprovedthestate-of-the-artinspeechrecognition,visualobjectrecognition,objectdetectionandmanyotherdomainssuchasdrugdiscoveryandgenomics.Deeplearningdiscoversintricatestructureinlargedatasetsbyusingthebackpropagationalgorithmtoindicatehowamachineshouldchangeitsinternalparametersthatareusedtocomputetherepresentationineachlayerfromtherepresentationinthepreviouslayer.Deepconvolutionalnetshavebroughtaboutbreakthroughsinprocessingimages,video,speechandaudio,whereasrecurrentnetshaveshonelightonsequentialdatasuchastextandspeech.

GettogripswithmodernsoftwaredemandsbylearningtheeffectiveusesofRust'spowerfulmemorysafety.KeyFeaturesLearnandimprovethesequentialperformancecharacteristicsofyoursoftwareUnderstandtheuseofoperatingsystemprocessesinahigh-scaleconcurrentsystemLearnofthevariouscoordinationmethodsavailableintheStandardlibraryBookDescriptionMostprogramminglanguagescanreallycomplicatethings,especiallywithregardtounsafememoryaccess.Theburdenonyou,theprogrammer,liesacrosstwodomains:understandingthemodernmachineandyourlanguage'spain-points.Thisbookwillteachyoutohowtomanageprogramperformanceonmodernmachinesandbuildfast,memory-safe,andconcurrentsoftwareinRust.ItstartswiththefundamentalsofRustanddiscussesmachinearchitectureconcepts.YouwillbetakenthroughwaystomeasureandimprovetheperformanceofRustcodesystematicallyandhowtowritecollectionswithconfidence.YouwilllearnabouttheSyncandSendtraitsappliedtothreads,andcoordinatethreadexecutionwithlocks,atomicprimitives,data-parallelism,andmore.ThebookwillshowyouhowtoefficientlyembedRustinC++codeandexplorethefunctionalitiesofvariouscratesformultithreadedapplications.Itexploresimplementationsindepth.Youwillknowhowamutexworksandbuildseveralyourself.Youwillmasterradicallydifferentapproachesthatexistintheecosystemforstructuringandmanaginghigh-scalesystems.Bytheendofthebook,youwillfeelcomfortablewithdesigningsafe,consistent,parallel,andhigh-performanceapplicationsinRust.WhatyouwilllearnProbeyourprogramsforperformanceandaccuracyissuesCreateyourownthreadingandmulti-processingenvironmentinRustUsecoarselocksfromRust’sStandardlibrarySolvecommonsynchronizationproblemsoravoidsynchronizationusingatomicprogrammingBuildlock-free/wait-freestructuresinRustandunderstandtheirimplementat

Reconstructionofabsorptioncoefficient\mu_{a}andscatteringcoefficient\mu_{s}isveryimportantforapplicationsofdiffuseopticaltomographyandnearinfraredspectroscopy.Aimingattheearlycancerdetectionofcervixandstomach,wepresentafastinverseMonte-Carloschemeforextracting\mu_{a}and\mu_{s}ofatubulartissuefromthemeasurementonfrequencydomain.Resultsshowthatthecomputationtimeforreconstructingonesetof\mu_{a}and\mu_{s}islessthan1minandther

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。