简介：InPekingUniversityComputerResearchInstitute(PUCRI)amethodofinputtingChinesesentencesbasedonwordshasbeendeveloped.Toreducethetroublesinchoosingonewordoutoftheotherscharacterizedbythesamefeature,grammaticalparsingtechniqueisappliedtothemethodandgoodresultshavebeenachieved.Thisarticledescribestheoutlineofthemethod.theprincipleofapplyinggrammaticalformulasandthebranch-cuttingalgorithmusedtospeedupthegrammaticalparsing.

简介：当它极大地影响用户满足的度，申请发射性能对系统站台开发者和供应商很重要。改进应用程序发射性能的最最有效的方法是用一个稳固的州的驱动器(SSD)代替一个硬盘驱动器(HDD)，它最近变得买得起、流行。一个自然问题当时是是否用一个新SSD知道的优化器代替传统的HDD知道的申请发射台。我们由在SSD上分析HDD知道的申请发射台的无效然后建议预取计划的新SSD知道的应用探讨这个问题，叫了快申请跑步者(快)。关键想法快是重叠有SSD存取(I/O)的计算(中央处理器)时间时间在应用程序发射期间。快由一套用户级的部件和LinuxOS(操作系统)提供的系统调试工具组成。因此，没有核重新编译，能容易快在任何最近的Linux版本被部署。我们与运用Linux2.6.32OS的SSD在桌面PC上快实现并且由运行一套使用得广泛地的应用程序评估它，表明象与没有prefetcher的PC相比的申请发射时间的28%减小的一般水准。

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简介：Tousereasoningknowledgeaccuratelyandefficiently,manyreasoningmethodshavebeenproposed.However,thedifferencesinformamongthemethodsmayobstructthesystematicalanalysisandharmoniousintegrationofthem.Inthispaper,acommonreasoningmodelJUM(JudgementModel)isintroduced.AccordingtoJUM,acommonknowledgerepresentationformisabstractedfromdifferentreasoningmethodsanditslimitationisreduced.WealsoproposeanalgorithmfortransformingonetypeofJUMsintoanother.Insomecases,thealgorithmcanbeusedtoresolvethekeyproblemofintegratingdifferenttypesofJUMinonesystem.Itispossiblethatanewarchitectureofknowledge-basedsystemcanberealizedunderJUM.

简介：AnewmethodforrecognizingChinesecharactersisproposed.Itisbasedontheso-calledfeaturepointsofChinesecharacters.Thefeaturepointsweuseincludethoseonthestrokeofacharacter.i.e.,endpoints.turningpoints,forkpointsandcrosspoints.andthekeypointsonthebackgroundofcharacter.ThismethoddiffersfromthepreviousonesforitcombinesthefeaturepointsonstrokewiththoseonbackgroundanditusesfeaturepointstorecognizeChinesecharactersdirectly.AChinesecharacterrecognitionsystembasedtotop-downdynamicalmatchingoffeaturepointisdeveloped.Thesystemcanrecognizenotonly6763printedsampleSongfontChinesecharactersofsize5.6×5.6mm^2withhighrecognitionrate,butalsothegeneralprintedbooks,magazinesanddocumentswithasatisfactoryrecognitionrateandspeed.

简介：AnewmethodforintrinsicterminatorpredictionbasedonRnall,anRNAlocalsecondarystructurepredictionalgorithmdevelopedrecently,andtwoU-tailscoreschemasaredeveloped.Byoptimizingthreeparameters(thermodynamicenergyofRNAhairpinstructure,U-tailTweight,andU-tailhybridizationenergy),themethodcanrecognize92.25%ofknownterminatorswhilerejecting98.48%ofpredictedRNAlocalsecondarystructuresincodingregions(negativecontrol)asfalseintrinsicterminatorsinE.coll.ThismethodwasappliedtoscanthegenomeofSynechocgccussp.WH8102,andwepredicted266intrinsicterminators,whichincluded232protein-codinggenes,12tRNAgenes,and3rRNAgenes.About17%oftheseterminatorsarelocatedattheendofoperons.Itisalsoidentified8pairsofbiodirectionalterminators.ThemethodforintrinsicterminatorpredictionhasbeenincorporatedintoRnM1,whichisavailableathttp://digbio.missouri.edu/-wanx/Rnall/.

简介：Identity-basedhashproofsystemisabasicandimportantprimitive.Ittographicschemesandprotocolsthataresecureagainstkey-leakageattacks.Inthisupdatableidentity-basedhashproofsystem,inwhichtherelatedmastersecretkeyiswidelyutilizedtoconstructcryp-paper,weintroducetheconceptofandtheidentitysecretkeycanbeupdatedsecurely.Then,weinstantiatethisprimitivebasedonlatticesinthestandardmodel.Moreover,weintroduceanapplicationofthisnewprimitivebygivingagenericconstructionofleakage-resilientpublic-keyencryptionschemeswithanonymity.Thisconstructioncanbeconsideredastheintegrationofthebounded-retrievalmodelandthecontinualleakagemodel.Comparedwiththeexistingleakage-resilientschemes,ourconstructionnotonlyismoreefficientbutalsocanresistmuchmorekeyleakage.