简介：在这份报纸，我们探索在从一个微分几何观点学习moduli问题是很有用的虚拟技术。我们介绍新目标鈥渧irtualmanifolds/orbifolds鈥的一个班吗？在哪个上我们开发集成理论。特别地，虚拟本地化公式被获得。关键词虚拟manifolds-本地化-Fredholm系统-第一写作的moduli空格先生(2000)题目分类57R99被一个NSF关键工程和973工程2006CB805900支持

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简介：Inordertoimprovetheabilitytolocalizeasourceinanuncertainacousticenvironment,aBayesianapproach,referredtohereasBayesianlocalizationisusedbyincludingtheenvironmentintheparametersearchspace.Geneticalgorithmsareusedfortheparameteroptimization.Thismethodintegratestheaposteriorprobabilitydensity(PPD)overenvironmentalparameterstoobtainasequenceofmarginalprobabilitydistributionsoversourcerangeanddepth,fromwhichthemost-probablesourcelocationandlocalizationuncertaintiescanbeextracted.Consideringthattheseabeddensityandattenuationarelesssensitivetotheobjectivefunctionofmatchedfieldprocessing,weutilizetheempiricalrelationshiptoinvertthoseparametersindirectly.ThebroadbandsignalsrecordedbyaverticallinearrayinaYellowSeaexperimentin2000areprocessedandanalyzed.Itwasfoundthat,theBayesianlocalizationmethodthatincorporatestheenvironmentalvariabilityintotheprocessor,madeitrobusttotheuncertaintyintheoceanenvironment.Inaddition,usingtheempiricalrelationshipcouldenhancethelocalizationaccuracy.

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简介：ＴＨＥＤＩＳＴＵＲＢＡＮＣＥＬＯＣＡＬＩＺＡＴＩＯＮＰＲＯＢＬＥＭＦＯＲＳＩＮＧＵＬＡＲＳＹＳＴＥＭＳＴａｎＬｉａｎｓｈｅｎｇ（ＷｕｈａｎＩｎｓｔ．ｏｆＭａｔｈ．Ｓｃｉ．，Ｃｈｉｎ．Ａｃａｄ．ｏｆＳｃｉ．，Ｗｕｈａｎ４３００７１，Ｃｈｉｎａ．）Ａｂｓ...

简介：Withthefast-pacedchangesbroughtaboutbyglobalizationandtechnologicaldevelopment,Englishlanguageteachinghasexperiencedglobalizationandlocalization.Asaveryimportantphenomenon,ithasbeeninfluencingeveryaspectinChina,suchaseducation,culture,waysoflifeandsoon.ThispaperfocusesontherealizationoflocalizationofEnglishteachinginChinaandgivesfactsandreasonsthatinfluencetheprocessoflocalization.

简介：1997)andhasbecomeoneofthetwoflagshipsofjournalismprograms(TheotheristhejournalismprogramofthePeople’sUniversity)acrossChina.TheFudanJournalismCollegenotonlyhasitstraditionalsequenceinJournalism,thewriterhasconductedasurveyamongthejournalismstudentsaswellassomefacultymembersamongthefivejournalismprogramsinShanghaiinSeptember1999.,aconsistentprocessoflocalizationinitscurriculumandteachingmethodsaswellasitstargets.Thepaperwillfirstdiscusstheprocessoflocalizationinthe50yearsdevelopmentofjournalismeducationinChinaintermsofeducationalpurposesandchangesofcurriculum.BasedontheasurveyofthefivejournalismprogramsinShanghai

简介：本地化是在无线传感器网络的实质的问题之一。为活动烽火本地化的关键问题是怎么选择适当烽火轨道。然而，很少研究都没在它上被做。在这篇论文，第一，我们推出位置的数字让烽火根据ROI(兴趣的区域)的面积送一个包；下我们在场一个新奇方法基于虚拟力量到在任意的ROI安排位置；然后，我们使用TSP(旅行售货员问题)算法到位置顺序到获得最佳的旅游路径，即减少的烽火轨道。活动烽火什么时候沿着旅游路径移动，送RF，在每个位置发信号，在ROI的传感器能与trilateration得出他们的位置。试验性的结果证明本地化方法，基于烽火减少的路径，是有效的；有灵活精确性。

简介：Debuggingisatime-consumingtaskinsoftwaredevelopment.Althoughvariousautomatedapproacheshavebeenproposed,theyarenoteffectiveenough.Ontheotherhand,inmanualdebugging,developershavedifficultyinchoosingbreakpoints.Toaddresstheseproblemsandhelpdeveloperslocatefaultseffectively,weproposeaninteractivefault-localizationframework,combiningthebenefitsofautomatedapproachesandmanualdebugging.Beforethefaultisfound,thisframeworkcontinuouslyrecommendscheckingpointsbasedonstatements'suspicions,whicharecalculatedaccordingtotheexecutioninformationoftestcasesandthefeedbackinformationfromthedeveloperatearliercheckingpoints.Thenweproposeanaiveapproach,whichisaninitialimplementationofthisframework.However,withthisnaiveapproachormanualdebugging,developers'wrongestimationofwhetherthefaultystatementisexecutedbeforethecheckingpoint(breakpoint)maymakethedebuggingprocessfail.Soweproposeanotherrobustapproachbasedonthisframework,handlingcaseswheredevelopersmakemistakesduringthefault-localizationprocess.Weperformedtwoexperimentalstudiesandtheresultsshowthatthetwointeractiveapproachesarequiteeffectivecomparedwithexistingfault-localizationapproaches.Moreover,therobustapproachcanhelpdevelopersfindfaultswhentheymakewrongestimationatsomecheckingpoints.

简介：Theaccuracyoffacealignmentaffectsgreatlytheperformanceofafacerecognitionsystem.Sincethefacealignmentisusuallyconductedusingeyepositions,thealgorithmforaccurateeyelo-calizationisessentialfortheaccuratefacerecognition.Inthispaper,analgorithmisproposedforeyelocalization.First,theproperAdaBoostdetectionisadaptivelytrainedtosegmenttheregionbasedonthespecialgraydistributionintheregion.Afterthat,afastradialsymmetryoperatorisusedtopre-ciselylocatethecenterofeyes.Experimentalresultsshowthatthemethodcanaccuratelylocatetheeyes,anditisrobusttothevariationsoffaceposes,illuminations,expressions,andaccessories.

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简介：Geographiclocationofnodesisveryusefulinasensornetwork.Previouslocalizationalgorithmsassumethatthereexistsomeanchornodesinthiskindofnetwork,andthenothernodesareestimatedtocreatetheircoordinates.Oncetherearenotanchorstobedeployed,thoselocalizationalgorithmswillbeinvalidated.Manypapersinthisfieldfocusonanchor-basedsolutions.Theuseofanchorsintroducesmanylimitations,sinceanchorsrequireexternalequipmentssuchasglobalpositionsystem,causeadditionalpowerconsumption.Anovelpositioningalgorithmisproposedtouseavirtualcoordinatesystembasedonanewconcept-virtualanchor.Itisexecutedinadistributedfashionaccordingtotheconnectivityofanodeandthemeasureddistancestoitsneighbors.Boththeadjacentmemberinformationandtherangingdistanceresultarecombinedtogeneratetheestimatedpositionofanetwork,oneofwhichisindependentlyadoptedforlocalizationpreviously.Atthepositionrefinementstagetheintermediateestimationofanodebeginstobeevaluatedonitsreliabilityforpositionmutation;thusthepositioningoptimizationprocessofthewholenetworkisavoidedfallingintoalocaloptimalsolution.Simulationresultsprovethatthealgorithmcanresolvethedistributedlocalizationproblemforanchor-freesensornetworks,andissuperiortopreviousmethodsintermsofitspositioningcapabilityunderavarietyofcircumstances.

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简介：Thecapabilityandreliabilityarecrucialcharacteristicsofmobilerobotswhilenavigatingincomplexenvironments.Theserobotsareexpectedtoperformmanyusefultaskswhichcanimprovethequalityoflifegreatly.Robotlocalizationanddecisionmakingarethemostimportantcognitiveprocessesduringnavigation.However,mostofthesealgorithmsarenotefficientandarechallengingtaskswhilerobotsnavigatethroughcomplexenvironments.Inthispaper,weproposeabiologicallyinspiredmethodforrobotdecision-making,basedonrat’sbrainsignals.Rodentsaccuratelyandrapidlynavigateincomplexspacesbylocalizingthemselvesinreferencetothesurroundingenvironmentallandmarks.Firstly,weanalyzedtherats’strategieswhilenavigatinginthecomplexY-maze,recordedlocalfieldpotentials(LFPs),simultaneously.TherecordedLFPswereprocessedanddifferentfeatureswereextractedwhichwereusedastheinputintheartificialneuralnetwork(ANN)topredicttherat’sdecision-makingineachjunction.TheANNperformancewastestedinarealrobotandgoodperformanceisachieved.Theimplementationofourmethodonarealrobot,demonstratesitsabilitiestoimitatetherat’sdecision-makingandintegratetheinternalstateswithexternalsensors,inordertoperformreliablenavigationincomplexmaze.

简介：Functionalcharacterizationofeverysingleproteinisamajorchallengeofthepostgenomicera.Thelarge-scaleanalysisofacell'sproteins,proteomics,seekstoprovidetheseproteinswithreliableannotationsregardingtheirinteractionpartnersandfunctionsinthecellularmachinery.Animportantsteponthiswayistodeterminethesubcellularlocalizationofeachprotein.Eukaryoticcellsaredividedintosubcellularcompartments,ororganelles.Transportacrossthemembraneintotheorganellesisahighlyregulatedandcomplexcellularprocess.Predictingthesubcellularlocalizationbycomputationalmeanshasbeenanareaofvividactivityduringrecentyears.Thepubliclyavailablepredictionmethodsdiffermainlyinfouraspects:theunderlyingbiologicalmotivation,thecomputationalmethodused,localizationcoverage,andreliability,whichareofimportancetotheuser.Thisreviewprovidesashortdescriptionofthemaineventsintheproteinsortingprocessandanoverviewofthemostcommonlyusedmethodsinthisfield.

简介：为识别的目的SWATH(小Waterplane区域双胞胎的赫尔)严厉有效地并且完善SWATH轮船鈥檚表演的察觉技术，这份报纸基于规模论述新奇双向图象登记策略和mosaicing技术不变的特征变换(筛)算法。建议方法能帮助我们观察与为分析SWATH的控制鳍的性能的一个大视觉角度严厉。筛是规模，旋转和照明的最有效的本地特征之一不变。然而，在这个算法有一些假火柴率。以在水下机器视觉，仅仅由获得一个精确火柴率罐头，我们发现一在水下机器人很快并且识别目标的地点。第一，因此，火柴比率原则的选择在这份报纸被提出；第二，双向登记算法的一些优点被分析单向性的匹配方法的特征结束。最后，一自动在水下图象拼接方法根据图象的固定尺寸，然后边被建议鈥檚重叠节被主要部件分析算法合并。试验性的结果完成更好的登记和光滑的mosaicing效果，证明建议方法是有效的。

简介：AccordingtoareleaseconferenceondevelopmentofthermalpowerfluegasdesulphurizationequipmentheldbyChinaElectricityCouncil(CEC),theinstalledcapacityofthermalpowerunitswithdesulphurizationequipmentinoperationorunderconstructionreached53GWandover100GWrespectivelybytheendof2005.Atpresent,Chinahasgotacapabilityofcontracting(includingdesignandequipmentmanufacture)fluegasdesulphurizationprojectsforabout100-GWgeneratingunitsannually.

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简介：Wirelesssensornetworks(WSNs)consistofsensornodesthatbroadcastamessagewithinanetwork.Efficientbroadcastingisakeyrequirementinsensornetworksandhasbeenafocalpointofresearchoverthelastfewyears.Therearemanychallengingtasksinthenetwork,includingredundancycontrolandsensornodelocalizationthatmainlydependonbroadcasting.Inthispaper,weproposeabroadcastingalgorithmtocontrolredundancyandimprovelocalization(BACRIL)inWSNs.Theproposedalgorithmincorporatesthebenefitsofthegossipprotocolforoptimizingmessagebroadcastingwithinthenetwork.Simulationresultsshowacontrolledlevelofredundancy,whichisupto57.6%ifthenumberofsensornodesdeployedina500m500mareaareincreasedfrom50to500.