简介：Thispaperfocusesontheissuesofcategoricaldatabasegen-eralizationandemphasizestherolesofsupportingdatamodel,integrateddatamodel,spatialanalysisandsemanticanalysisindatabasegeneralization.Theframeworkcontentsofcategoricaldatabasegeneralizationtransformationaredefined.Thispaperpresentsanin-tegratedspatialsupportingdatastruc-ture,asemanticsupportingmodelandsimilaritymodelforthecategoricalda-tabasegeneralization.Theconceptoftransformationunitisproposedingeneralization.

简介：数据安全为云计算是领先的担心和主要挑战之一。这个问题与云计算的发展正在变得越来越严肃。然而，存在保存隐私的数据分享技术也没能阻止隐私的漏或招致信息损失的巨大的数量。在这份报纸，我们建议一种新奇技术，作为基于连接的匿名模型称为，它与有一种尺寸的伪标识符组(QI组)一起完成K匿名不到K。同时，半同质的归纳被介绍对同质的归纳招致的攻击。为了实现基于连接的anonymization，当模特儿，我们建议一个简单还有效的启发式的本地人重新代码方法。真实数据集的广泛的实验也被进行证明实用程序被我们的途径显著地与最先进的方法相比改进了。

简介：平面连接的一种新、一般类型被介绍，它扩大由连接的二循环单人赛的运动学的链组成的Kempe开发的古典连接，由外卷的绞链相连。和一台锁住的设备，这些新连接有仅仅自由(DOF)的一度，它为用作使他们理想为不同目的部署有能力的结构。这里，我们为双环以分析的一个新鲜矩阵方法开始平面连接，用2D转变矩阵；一个新符号的符号。为Kempe的连接的一个盒子的另外的检查被提供。基于检查，借助于某小说代数学；几何技术，一个特别地迷人的答案被发现。物理模型被造证明在这篇论文的推导是有效的；新机制是正确的。

简介：Inthispaper,someinequalitiesforsequencerearrangementandmatrixproductareestablished.Theauthorsextendandimprovesomeknownresults,andshowthattherearesomeerrorsinreferenceoninequalitiesforsequencerearrangementbyexamples,

简介：Inthispaper,thecLassicaLriskprocessperturbedbydiffusionisgenera]izedbyalLowingfor"sizefluctuation"andthertl[nprobabiLityforthisnewmodelisdlscussed.

简介：Generalizingthenotionofstronglynilcleanrings,weintroducestronglyquasinilcleanrings.Somefundamentalpropertiesandequivalentcharacterizationsofthisclassofringsareprovided.Bymeansofg-Drazininverses,Cline'sformulaandJacobson'slemmaforstronglyquasi-nilcleanelementsareinvestigated.

简介：Wepresentaschemeforpreparingremotelyathree-particlepureentangledstateviaentanglementswapping,andthenwedirectlygeneralizeittothemultiparticlecase.ItisshownthatbyusingNpairsofbipartiteEPRstatesasthequantumchannel,remotepreparationofsomespeciallychosenN-particlepureentangledstatescanbeachievedfaithfullywithanN-particleorthonormalbasismeasurementandonlyNbitsofclassicalinformation.

简介：Thispaperputsforword11cartographicgeneralizationoperatormodelsandintroducestheirmathematicaldefinitions,andthusaprecisemathematicalformandquantitativedescriptionhasbeengiventotheseformerlylimitedqualitativeconcepts.Themeaningofmathematicaldefinitionofoperatorsforcartographicgeneralizationandtheapplicationprospectincomputer-aidedcartography(CAC)isstated.

简介：Letl1,l2,…,lgbeevenintegersandxbeasufficientlylargenumber.Inthispaper,theauthorsprovethatthenumberofpositiveoddintegersk≤xsuchthat（k+l1）2,（k+l2）2,…,（k+lg）2cannotbeexpressedas2n+pαisatleastc（g）x,wherepisanoddprimeandtheconstantc（g）dependsonlyong.

简介：InthispaperwestudythesolutionsandstabilityofthegeneralizedWilson’sfunctionalequation∫_Gf(xty)dμ(t)+∫_Gf(xtσ(y))dμ(t)=2f(x)g(y),x,y∈G,whereGisalocallycompactgroup,σisacontinuousinvolutionofGandμisanidempotentcomplexmeasurewithcompactsupportandwhichisσ-invariant.Weshowthat∫_Gg(xty)dμ(t)+∫_Gg(xtσ(y))dμ(t)=2g(x)g(y)iff≠0and∫_Gf(t.)dμ(t)≠0,where[∫_Gf(t.)dμ(t)](x)=∫_Gf(tx)dμ(t).WealsostudysomestabilitytheoremsofthatequationandweestablishthestabilityonnoncommutativegroupsoftheclassicalWilson’sfunctionalequationf(xy)+χ(y)f(xσ(y))=2f(x)g(y)x,y∈G,whereχisaunitarycharacterofG.

简介：点集合归纳是在地图归纳的必要问题之一。在点集合归纳的要求分析上，这篇论文建议一个方法基于Kohonen网模型概括点集合；标准SOM算法被改进了以便保存原来的点集合的空间分发性质。例子说明那这个方法适合点集合的归纳。

简介：Thispaperproposesaformallystrongerset-valuedClaxke'sfixedpointtheorem.Bythis-theoremwecanimproveafixedpointtheoremforweaklyinwardcontractionset-valuedmappingofD.DowingandW.A.Kirk.

简介：ＮＯＴＥＳ　ＯＮ　ＦＩＮＩＴＥ　ＥＬＥＭＥＮＴ　ＭＥＴＨＯＤ　ＡＮＤ　ＩＴＳ　ＧＥＮＥＲＡＬＩＺＡＴＩＯＮＮＯＴＥＳＯＮＦＩＮＩＴＥＥＬＥＭＥＮＴＭＥＴＨＯＤＡＮＤＩＴＳＧＥＮＥＲＡＬＩＺＡＴＩＯＮ￥Ｌ．Ｔａｏ（ＩｎｓｔｉｔｕｔｅｏｆＭｅｃｈａｎｉｃ...

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简介：让n≥2是一个固定积极整数，q≥3并且c是二个整数与(n，q)=(c，q)=1。我们由r表示n(δ1,δ2,c；q)(0<δ1,δ2≤1)都个整数的数字一，b令人满意的ab≡c(现代派的q)，1≤≤δ1q，1≤b≤δ2q，(一，q)=(b，q)=1并且n†(+b)。这篇论文的主要目的是学习rn(δ1,δ2,c；q)，并且为它给一个锋利的asymptotic公式。

简介：这篇论文的目的是为0在L_p调查小浪包的吝啬的尺寸公式

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简介：Inthispaper,theauthorsconstructaφ-groupfornsubmodules,whichgeneralizestheclassicalK-theoryandgivesmoreinformationthantheclassicalones.Thistheoryisrelatedtotheclassificationtheoryforindecomposablesystemsofnsubspaces.

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简介：Ageneralizationofthelinguisticaggregationfunctions(oroperators)ispresentedbyusinggeneralizedandquasiarithmeticmeans.Firstly,thelinguisticweightedgeneralizedmean(LWGM)andthelinguisticgeneralizedorderedweightedaveraging(LGOWA)operatorareintroduced.Theseaggregationfunctionsuselinguisticinformationandgeneralizedmeansintheweightedaverage(WA)andintheorderedweightedaveraging(OWA)function.Theyareveryusefulforuncertainsituationswheretheavailableinformationcannotbeassessedwithnumericalvaluesbutitispossibletouselinguisticassessments.Theseaggregationoperatorsgeneralizeawiderangeofaggregationoperatorsthatuselinguisticinformationsuchasthelinguisticgeneralizedmean(LGM),thelinguisticOWA(LOWA)operatorandthelinguisticorderedweightedquadraticaveraging(LOWQA)operator.Wealsointroduceafurthergeneralizationbyusingquasi-arithmeticmeansinsteadofgeneralizedmeansobtainingthequasi-LWAandthequasi-LOWAoperator.Finally,wedevelopanapplicationofthenewapproachwhereweanalyzeadecisionmakingproblemregardingtheselectionofstrategies.