简介：称为介绍的加权的随机整修的meansare和不仅他们的一致性和asymptotic规度的柔韧的地点评估者的一个班被证明，但是theirinfluence工作asymptotic变化和故障点也被导出。他们拥有是的thesame故障点中部，并且他们中的一些拥有更高的asymptotic亲戚效率atthe重尾巴的分布比一些另外的著名地点评估者；而trimmedmeans，Winsorized工具和Huber“sM评估者拥有更高的asymptotic亲戚效率atthe跟踪光的分布，在哪个Huber”sM评估者是最柔韧的。

简介：WepresentaninitialstudyoftheobjectfeaturesofOracle9i-thefirstofthemarket-leadingobject-relationaldatabasesystemsthatsupportsatrueobjectmodelontheserversideaswellasanODMG-styleC++languagebindingontheclientside.WediscusshowthesefeaturescanbeusedtoprovidepersistentobjectstorageintheHEPenvironment.

简介：ThecomparativenumericalandanalyticalanalysisofscintillationindicesofthevortexLaguerre–GaussianbeamandthenonvortexdoughnutholeandGaussianbeamspropagatingintherandomlyinhomogeneousatmospherehasbeenperformed.Ithasbeenfoundthatthedependenceofthescintillationindexattheaxisoftheopticalvortexontheturbulenceintensityatthepathhastheformofaunitstep.Ithasbeenshownthatthebehaviorofscintillationsinthecrosssectionsofvortexandnonvortexbeamsdifferswidely.DespitethescintillationindexofvortexbeamshasbeencalculatedonlyforthesimplestLG10mode,theobtainedresultsarequitegeneral,becausetheydemonstratethemainpropertiesinherentinscintillationsofvortexbeamsofanytype.

简介：LetGbeagraphwithvertexsetV(G)andedgesetE(G)andletgandfbetwointeger-valuedfunctionsdefinedonV(G)suchthat2k-1≤g(x)≤f(x)forallx∈V(G).LetHbeasubgraphofGwithmkedges.Inthispaperitisprovedthatevery(mg+m-1,mf-m+1)-graphGhas(g,f)-factorizationsrandomlyκ-orthogonaltoHandshownthattheresultisbestpossible.

简介：InthispaperwereanalyzeSaid’s(2011)workbyretainingallhisassumptionsexceptthatweusethefirst-priceauctiontoselldifferentiatedgoodstobuyersindynamicmarketsinsteadofthesecond-priceauction.Weconcludethatexceptfortheexpressionoftheequilibriumbiddingstrategy,alltheresultsforthefirst-priceauctionareexactlythesameasthecorrespondingonesforthesecond-priceauctionestablishedbySaid(2011).Thisimpliesthatthewell-known'revenueequivalencetheorem'holdstrueforSaid’s(2011)dynamicmodelsetting.

简介：

简介：<正>Manypeoplehurttheirbackswhentheytrytoliftheavythingsfromthefloor.Itiseasytohurtyourbackmuscleswhenyoupickupaheavyobject.However,thereisacorrectwaytoliftthingsfromthefloor.Ifyoupickupbigorheavyobjectscorrectly,youprobablywillnothurtyourback.

简介：TheCMSOOreconstructionprogram-ORCA-hasbeenusedsince1999toproducelargesamplesofreconstructedMonte-Carloeventsfordetectoroptimization,triggerandphysicsstudies,TheeventsarestoredinseveralObjectivityfederationsatCERN,intheUS,Italyandothercountries.ToperformtheirstudiesphysicistsusedifferenteventsamplesrangingfromcompletedatasetsofTBytesizetoonlyafeweventsoutofthesedatasets.WedescribetheimplementationoftheserequirementsintheORCAsoftwareandthewaycollctionsofeventsareaccessedforreading,writingorcopying.

简介：TheBaBerexperimentstoresitsdatainanObjectorientedfederateddatabasesuppliedbyObjectivity/DB(tm),thisdatabaseissurrently350TBinsizeandisexpectedtoincreaseconsiderablyastheexperimentmatures.Managementofthisdatabaserequirescarefulplanningandspecializedtoolsinordertomakethedataavailabletophysicistsinanefficientandtimelymanner,WediscusstheoperationalissuesandmanagementtoolsthatweredevelopedduringthepreviousruntodealwiththisvastquantityofdataatSLAC.

简介：Inthispaper,anopportunisticcooperativeadhocsensornetworkwithrandomlylocatednodesisanalyzed.Therandomnessofnodes'locationsiscapturedbyahomogeneousPoissonpointprocess.Theeffectofimperfectinterferencecancellationisalsotakenintoaccountintheanalysis.Basedonthetheoryofstochasticgeometry,outageprobabilityandcooperativegainarederived.Itisdemonstratedthatexplicitperformancegaincanbeachievedthroughcooperation.Theanalysesarecorroboratedbyextensivesimulationresultsandtheanalyticalresultscanthusserveasaguidelineforwirelesssensornetworkdesign.

简介：部件相关性是一项重要软件措施。它是直接与软件可理解性，可维护性，和可重用性有关。在描述部件相关性的二个重要参数是在二个部件之间联合的类型和依赖部件的类型。取决于联合和依赖部件的类型的不同类型，能部件维护和部件复用上有不同效果。在这篇论文，我们把依赖部件划分成三种类型。我们然后分类各种各样的部件相关性并且在维护和复用上分析他们的效果。基于分类，我们在场一个相关性度量标准并且在11个公开源码的Java部件上验证它。我们的学习证明强壮的关联在再使用部件的部件和努力的相关性的测量之间存在。这显示部件相关性和建议度量标准的分类能进一步被用来代表另外的外部软件质量因素。电子增补材料这篇文章(doi:10.1007/s11390-007-9058-y)的联机版本contatins增补材料，它对授权用户可得到。

简介：Ghostimagingcouldbeusedtomakeaquickidentificationoforthogonalobjectsbymeansofphotocurrentcorrelationmeasurements.Inthispaper,weextendthemethodtoidentifynonorthogonalobjects.Inthemethod,anobjectisilluminatedbyonephotonfromanentangledpair,andtheotheroneisdiffractedintoaparticulardirectionbyapre-establishedmultiple-exposurehologramintheidlerarm.Bythecorrelationmeasurements,thenonorthogonalobjectinthesignalarmcouldbediscriminatedwithinaveryshorttime.Theconstraintsfortheidentificationofnonorthogonalobjectsarepresented,whichshowthatthenonorthogonalobjectscanbediscriminatedwhentheoverlappingportionbetweenanytwoobjectsislessthanhalfofalltheobjectsintheset.Thenumericalsimulationsfurtherverifytheresult.

简介：Aviewinobjectorienteddatabasescorrespondstovirtualschemawithrestructuredgeneralizationanddecompositionhierarchies,Numbersofviewcreationmethodologieshavebeenproposed.Amajordrawbackofexistingmethodologiesisthattheydonotmaintaintheclosureproperty.Thatis,theresultofaquerydoesnothavethesamesemanticsasembodiedintheobjectorienteddatamodel.Teherefore,thispaperpresentsaviewcreationmethodologythatderivesaclassinresponsetoauser'squery,integratesderivedclassinglobalschema(i.e.,considerstheproblemofclassesmovinginclasshierarchy)andselectstherequiredclassesfromglobalschematocreatetheviewforuser'squery.Novelideaofviewcreationincludes:(a)anobjectalgebraforclassderivationandcustomization(wherethederivedclassesintermsofobjectinstancesandprocedure/methodsarestudied),(b)maintenanceofclosureproperty,and(c)classificationalgorithmwhichprovidesmechanismtodealwiththeproblemofaclassmovinginaclasshierarchy.

简介：Compressivesensingisarevolutionaryideaproposedrecentlytoachievemuchlowersamplingrateforsignals.Intheimageapplicationwithlimitedresourcesthecameradatacanbestoredandprocessedincompressedform.Analgorithmformovingobjectandregiondetectioninvideousingacompressivesamplingisdeveloped.Thealgorithmestimatesmotioninformationofthemovingobjectandregionsinthevideofromthecompressivemeasurementsofthecurrentimageandbackgroundscene.Thealgorithmdoesnotperforminversecompressiveoperationtoobtaintheactualpixelsofthecurrentimagenortheestimatedbackground.Thisleadstoacomputationallyefficientmethodandasystemcomparedwiththeexistingmotionestimationmethods.Theexperimentalresultsshowthatthesamplingratecanreduceto25%withoutsacrificingperformance.

简介：Thispaperproposesanewmethodbasedonprincipalcomponentanalysistofindthedirectionofanobjectinanypose.Experimentsshowthatthismethodisfast,canbeappliedtoobjectswithanypixeldistributionandkeeptheoriginalpropertiesofobjectsinvariant.ItisanewapplicationofPCAinimageanalysis.

简介：Thispaperintroducesanoveltechniqueforobjectdetectionusinggeneticalgorithmsandmorphologicalprocessing.Themethodemploysakindofobjectorientedstructureelement,whichisderivedbygeneticalgorithms.Thepopulationofmorphologicalfiltersisiterativelyevaluatedaccordingtoastatisticalperformanceindexcorrespondingtoobjectextractionability,andevolvesintoanoptimalstructuringelementusingtheevolutionprinciplesofgeneticsearch.Experimentalresultsofroadextractionfromhighresolutionsatelliteimagesarepresentedtoillustratethemeritandfeasibilityoftheproposedmethod.

简介：Momentshavebeenusedinallsortsofobjectclassificationsystemsbasedonimage.TherearelotsofmomentsstudiedbymanyresearchersintheareaofobjectclassificationandoneofthemostpreferencemomentsistheZernikemoment.Inthispaper,theperformanceofobjectclassificationusingtheZernikemomenthasbeenexplored.Theclassifierbasedonneuralnetworkshasbeenusedinthisstudy.Theresultsindicatethebestperformanceinidentifyingtheaggregateisat91.4%withatenordersoftheZernikemoment.ThisencouragingresulthasshownthattheZernikemomentisasuitablemomenttobeusedasafeatureofobjectclassificationsystems.

简介：

简介：

简介：Theimpropercultivationofcommercialplantation,whichisamanagementactivitywiththepropertiesofeconomy,willleadtoenvironmentlossessuchaslanddegradation,soilerosion,pestsanddiseases.Environmentalcostiseasilyneglectedbyexecutives,however,itexistsactually.Thevariety,intersectingandoverlappingofenvironmentlossesdecidetheboundaryofevaluationandthenecessityofindicesonenvironmentalcost.Theresearchanalyzesthecharacteristicsanddisciplinariansofenvi...