DDR5的JEDEC规范，供参考。
ThisdocumentdefinestheDDR5SDRAMspecification,includingfeatures,functionalities,ACandDCcharacteristics,packages,andball/signalassignments.ThepurposeofthisStandardistodefinetheminimumsetofrequirementsforJEDECcompliant8Gbthrough32Gbforx4,x8,andx16DDR5SDRAMdevices.ThisstandardwascreatedbasedontheDDR4standards(JESD79-4)andsomeaspectsoftheDDR,DDR2,DDR3&LPDDR4standards(JESD79,JESD79-2,JESD79-3&JESD209-4).Item1848.99G.

BSEN15722-2015_ECallminimumsetofdata欧盟eCallMSD规范

2019-2区-UnsupervisedAnomalyDetectionBasedonMinimumSpanningTreeApproximatedDistanceMeasuresandItsApplicationtoHydropowerTurbines

ThisdocumentdefinestheLPDDR4standard,includingfeatures,functionalities,ACandDCcharacteristics,packages,andball/signalassignments.ThepurposeofthisspecificationistodefinetheminimumsetofrequirementsforaJEDECcompliant16bitperchannelSDRAMdevicewitheitheroneortwochannels.LPDDR4dualchanneldevicedensityrangesfrom4Gbthrough32Gbandsinglechanneldensityrangesfrom2Gbthrough16Gb.Thisdocumentwascreatedusingaspectsofthefollowingstandards:DDR2(JESD79-2),DDR3(JESD79-3),DDR4(JESD79-4),LPDDR(JESD209),LPDDR2(JESD209-2)andLPDDR3(JESD209-3).

BuildingTradingBotsUsingJavaEnglish|6Jan.2017|ISBN:1484225198|300Pages|PDF|6.22MBBuildanautomatedcurrencytradingbotfromscratchwithjava.Inthisbook,youwilllearnaboutthenitty-grittyofautomatedtradingandhaveacloserlookatJava,theSpringFramework,event-drivenprogra妹妹ing,andotheropensourceAPIs,notablyGoogle'sGuavaAPI.Andofcourse,developmentwillallbetest-drivenwithunittestingcoverage.ThecentralthemeofBuildingTradingBotsUsingJavaistocreateaframeworkthatcanfacilitateautomatedtradingonmostofthebrokerageplatforms,withminimumchanges.Attheendofthejourney,youwillhaveaworkingtradingbot,withasampleimplementationusingtheOANDARESTAPI,whichisfreetouse.WhatYou'llLearnFindoutabouttradingbotsDiscoverthedetailsoftradeableinstrumentsandapplybotstothemTrackandusemarketdataeventsPlaceordersandtradesWorkwithtrade/orderandaccounteventsWhoThisBookIsForExperiencedprogra妹妹ersnewtobotsandotheralgorithmictradingandfinancetechniques.

Thisbookintroducesyoutotheworldofdatastructuresandalgorithms.Datastructuredefinesthewaydataisarrangedincomputermemoryforfastandefficientaccesswhilealgorithmisasetofinstructiontosolveproblemsbymanipulatingthesedatastructures.DataStructuresalgorithmsInGoHemantjainCopyrightoHemantJain2017.AllRightReservedHemantJainassertsthemoralrighttobeidentifiedasheauthorofthisworkAllrightsreserved.Nopartofthispublicationmaybereproduced,storedinorintroducedintoaretrievalsystem,ortransmitted,inanyform,orbyanymeans(electrical,mechanical,photocopying,recordingorotherwise)withoutthepriorwrittenpermissionoftheauthor,exceptinthecaseofverybriefquotationsembodiedincriticalreviewsandcertainothernonco妹妹ercialusespermittedbycopyrightlaw.AnypersonwhodoesanyunauthorizedactinrelationtothispublicationmaybeliabletocriminalprosecutionandcivilclaimsfordamagesACKNOWLEDGEMENTTheauthorisverygratefultoGodALMIGhTYforhisgraceandblessingDeepestgratitudeforthehelpandsupportofmybrotherDrSumantJain.ThisbookwouldnothavebeenpossiblewithoutthesupportandencouragementheprovidedIwouldliketoexpressprofoundgratitudetomyguide/myfriendNaveenKaushikforhisinvaluableencouragement,supervisionandusefulsuggestionthroughoutthisbookwritingwork.hissupportandcontinuousguidanceenablemetocompletemyworksuccessfuFinallyyetimportantly,IamthankfultoLoveSinghal,AnilberryandotherswhohelpedmedirectlyorindirectlyincompletingthisbookHemantJainTABLEOFCONTENTSACKNOWLEDGEMENTTABLEOFCONTENTSChAPTERO:HOWTOUSETHISBOOKWHATTHISBOOKISABOUTPREPARATIONPLANSSUMMARYChAPTER1:NTRODUCTION-PROGRAMMIINGOVERVIEWINTRODUCTIONFIRSTGOPROGRAMvariablesconstantsBASICDATATYPESSTRINGCONDITIONSANDLOOPSFUNCTIONPARAMETERPASSINGCALLBYVALUEPOINTERSPARAMETERPASSING.CALLBYPOINTER/REFERENCESTRUCTURESMETHODSINTERFACEARRaySLICEMAP/DICTIONARYARRAYINTERVIEWQUESTIONSCONCEPTOFSTACKSYSTEMSTACKANDMETHODCALLSRECURSIVEFUNCTIONEXERCISESCHAPTER2:ALGORITHMSANALYSISINTRODUCTIONALGORITHMASYMPTOTICANALYSISBIG-ONOTATIONOMEGA-QNOTATIONTHETA-⊙NOTATIONCOMPLEXITYANALYSISOFALGORITHMSTIMECOMPLEXITYORDERDERIVINGTHERUNTIMEFUNCTIONOFANALGORITHMTIMECOMPLEXITYEXAMPLESMASTERTHEOREMMODIFIEDMASTERTHEOREMEXERCISECHAPTER3:APPROACHTOSOLVEALGORITHMDESIGNPROBLEMSINTRODUCTIONCONSTRAINTSIDEAGENERATIONCOMPLEXITIESCODINGTESTINGEⅹAMPLESUMMARYChaPTER4:ABSTRACTDATATYPEGOCollECtIonsABSTRACTDATATYPE(ADTDATA-STRUCTUREGOCOLLECTIONFRAMEWORKACKQUEUETREEBINARYTREEBINARYSEARCHTREES(BSTPRIORITYQUEUE(HEAPHASH-TABLEDICTIONARY/SYMBOLTABLEGRAPHSGRAPHALGORITHMSSORTINGALGORITHMSCOUNTINGSORTENDNOTEchaPTER5:SEARCHINGINTRODUCTIONWHYSEARCHING?DIFFERENTSEARCHINGALGORITHMSLINEARSEARCH-UNSORTEDINPUTLINEARSEARCH-SORTEDBINARYSEARCHSTRINGSEARCHINGALGORITHMSHASHINGANDSYMBOLTABLESHOWSORTINGISUSEFULINSELECTIONALGORITHM?PROBLEMSINSEARCHINGEXERCISECHAPTER6:SORTINGINTRODUCTIONTYPEOFSORTINGBUBBLE-SORTMODIFIED(IMPROVED)BUBBLE-SORTINSERTION-SORTSELECTION-SORTMERGE-SORTQUICK-SORTQUICKSELECTBUCKETSORTGENERALIZEDBUCKETSORTHEAP-SORTTREESORTINGEXTERNALSORT(EXTERNALMERGE-SORTICOMPARISONSOFTHEVARIOUSSORTINGALGORITHMSSELECTIONOFBESTSORTINGALGORITHMEXERCISEChAPTER7:LINKEDLISTINTRODUCTIONLINKEDLISTTYPESOFLINKEDLISTSINGLYLINKEDLISTDOUBLYLINKEDLISTCIRCULARLINKEDLISTDOUBLYCIRCULARLISTEXERCISEchapter8:STACKINTRODUCTIONTHESTACKABSTRACTDATATYPESTACKUSINGSLICESSTACKGENERICIMPLEMENTATIONSTACKUSINGLINKEDLISTPROBLEMSINSTACKUSESOFSTACKEXERCISEchaPTER9:QUEUEINTRODUCTIONTHEQUEUEABSTRACTDATATYPEQUEUEUSINGLISTQUEUEUSINGLINKEDLISTPROBLEMSINQUEUEEXERCISECHAPTER10:TREEINTRODUCTIONTERMINOLOGYINTREEBINARYTREETYPESOFBINARYTREESPROBLEMSINBINARYTREEBINARYSEARCHTREE(BST)PROBLEMSINBINARYSEARCHTREE(BSTISEGMENTTREEAVLTREESRED-BLACKTREESPLAYTREEB-TREEB+TREEB*TREEEXERCISECHAPTERIl:PRIORITYQUEUEINTRODUCTIONTYPESOFHEAPHEAPADTOPERATIONSOPERATIONONHEAPHEAP-SORTUSESOFHEAPPROBLEMSINHEAPPRIORITYQUEUEGENERICIMPLEMENTATION.PRIORITYQUEUEUSINGHEAPFROMCONTAINER.EXERCISECHAPTER12:HASH-TABLEINTRODUCTIONHASH-TABLEHASHIINGWITHOPENADDRESSINGHASHINGWITHSEPARATECHAININGPROBLEMSINHASHINGEXERCISEChaPTER13:GRAPHSINTRODUCTIONGRAPHREPRESENTATIONADJACENCYMATRIXADJACENCYLISTGRAPHTRAVERSALSDEPTHFIRSTTRAVERSALBREADTHFIRSTTRAVERSALPROBLEMSINGRAPHDIRECTEDACYCLICGRAPHTOPOLOGICALSORTMINIMUMSPANNINGTREES(MST)SHORTESTPATHALGORITHMSINGRAPHEXERCISEChAPTER14:STRINGALGORITHMSTRODUCTIONSTRINGMATCHINGDICTIONARY/SYMBOLTABLEPROBLEMSINSTRINGEXERCISECHAPTER15:ALGORITHMDESIGNTECHNIQUESNTRODUCTIONBRUTEFORCEALGORITHMGREEDYALGORITHMDIVIDE-AND-CONQUER,DECREASE-AND-CONQUERDYNAMICPROGRAMMINGREDUCTIONTRANSFORM-AND-CONQUERBACKTRACKINGBRANCH-AND-BOUNDAALGORITHMCONCLUSIONCHAPTER16:BRUTEFORCEALGORITHMINTRODUCTIONPROBLEMSINBRUTEFORCEALGORITHMCONCLUSIONCHAPTER17:GREEDYALGORITHMINTRODUCTIONPROBLEMSONGREEDYALGORITHMCHAPTER18:DIVIDE-AND-CONQUER,DECREASE-AND-CONQUER

LPDDR3JEDEC官方specification；
ThisdocumentdefinestheLPDDR3specification,includingfeatures,functionalities,ACandDCcharacteristics,packages,andball/signalassignments.ThepurposeofthisspecificationistodefinetheminimumsetofrequirementsforJEDECcompliant4Gbthrough32Gbforx16andx32SDRAMdevices.Thisspecificationwascreatedusingaspectsofthefollowingspecifications:DDR2(JESD79-2),DDR3(JESD79-3),LPDDR(JESD209),andLPDDR2(JESD209-2).Eachaspectofthespecificationwasconsideredandapprovedbyco妹妹itteeballot(s).TheaccumulationoftheseballotswasthenincorporatedtopreparetheLPDDR3specification.

ThisStandardspecifiestheminimumrequirementsforteleco妹妹unicationsinfrastructureofdatacentersandcomputerrooms,includingsingletenantenterprisedatacentersandmulti-tenantInternethostingdatacenters.Thetopologyspecifiedinthisdocumentisintendedtobeapplicabletoanysizedatacenter.

AlgorithmDescriptionRecognizingobjectsfromlargeimagedatabases,histogrambasedmethodshaveprovedsimplicityandusefulnessinlastdecade.Initially,thisideawasbasedoncolorhistogramsthatwerelaunchedbyswain[1].Thisalgorithmpresentsthefirstpartofourproposedtechniquenamedas“HistogramprocessedFaceRecognition”[2]Fortraining,grayscaleimageswith256graylevelsareused.Firstly,frequencyofeverygray-leveliscomputedandstoredinvectorsforfurtherprocessing.Secondly,meanofconsecutiveninefrequenciesfromthestoredvectorsiscalculatedandarestoredinanothervectorsforlateruseintestingphase.Thismeanvectorisusedforcalculatingtheabsolutedifferencesamongthemeanoftrainedimagesandthetestimage.Finallytheminimumdifferencefoundidentifiesthematchedclasswithtestimage.Recognitionaccuracyisof99.75%(onlyonemis-matchi.e.recognitionfailsonimagenumber4ofsubject17)[1]M.J.SwainandD.H.Ballard,“Indexingviacolorhistogram”,InProceedingsofthirdinternationalconferenceonComputerVision(ICCV),pages390–393,Osaka,Japan,1990.[2]Fazl-e-Basit,YounusJavedandUsmanQayyum,"FaceRecognitionusingprocessedhistogramandphaseonlycorrelation",3rdIEEEInternationalConferenceonEmergingTechnologypp.238-242

SupportformultiplePepperversionstocompileforspecificminimumversionsofChrome.Updateutilitytodownloadnewbundlesandupdatestoexistingbundles.ToolchainstocompileforPortableNativeClient(PNaCl),traditionalNativeClient(NaCl),andforcompilingarchitecture-specificNativeClientapplicationswithglibc

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。