简介：Cloudcomputingisatechnologythatprovidesuserswithalargestoragespaceandanenormouscomputingpower.However,theoutsourceddataareoftensensitiveandconfidential,andhencemustbeencryptedbeforebeingoutsourced.Consequently,classicalsearchapproacheshavebecomeobsoleteandnewapproachesthatarecompatiblewithencrypteddatahavebecomeanecessity.Forprivacyreasons,mostoftheseapproachesarebasedonthevectormodelwhichisatimeconsumingprocesssincetheentireindexmustbeloadedandexploitedduringthesearchprocessgiventhatthequeryvectormustbecomparedwitheachdocumentvector.Tosolvethisproblem,weproposeanewmethodforconstructingasecureinvertedindexusingtwokeytechniques,homomorphicencryptionandthedummydocumentstechnique.However,1)homomorphicencryptiongeneratesverylargeciphertextswhicharethousandsoftimeslargerthantheircorrespondingplaintexts,and2)thedummydocumentstechniquethatenhancestheindexsecurityproduceslotsoffalsepositivesinthesearchresults.Theproposedapproachexploitstheadvantagesofthesetwotechniquesbyproposingtwomethodscalledthecompressedtableofencryptedscoresandthedoublescoreformula.Moreover,weexploitasecondsecureinvertedindexinordertomanagetheusers'accessrightstothedata.Finally,inordertovalidateourapproach,weperformedanexperimentalstudyusingadatacollectionofonemilliondocuments.Theexperimentsshowthatourapproachismanytimesfasterthananyotherapproachbasedonthevectormodel.

简介：汽车路由解决方案是无所不在的，行人的解决方案也存在。而且，公共或商业的大楼正在变得更大，他们的内部结构的复杂性增加了。因而，对室内的路由答案的需要出现了。一些原型是可得到的，但是他们仍然缺乏语义上充实的建模(例如，存取限制，标签，等等)并且不对在复杂大楼里提供用户适应的长度最佳的路由合适。以前的途径认为简单房间，凹面房间，和走廊，而是象在房间内的巨大的房间和稳固的障碍里的不同区域那样的重要特征根本没被考虑，尽管如此的细节能增加航行精确性。由正式定义一张加权的室内的路由图，创造是可能的一详细说明并且为线路计算的用户适应的模型。定义的图也包含象房间标签那样的语义信息，门可接近性限制，等等。而且，在大楼内的单程的路径被考虑，以及三维的造分开例如，电梯或楼梯。层次结构与介绍的图模型一起也是可能的。

简介：Device-to-device(D2D)通讯是为改进细胞的网络的一种新兴的技术，它在认识到事情(IoT)的因特网起一个重要作用。光谱效率，精力效率和网络的产量能被合作在一个自我组织的方法在多重D2D用户之中提高。以便没有减少的通讯质量，限制D2D用户和负担的干扰离开D2D用户的精力消费，一个干扰有限多用户合作计划被建议让多重D2D用户在这份报纸解决精力问题和干扰问题。多重D2D用户使用非直角的系列由自我组织的方法形成簇。多重D2D用户被划分成不同合作单位。在不同合作单位之中没有干扰以便以合作单位限制每个D2D用户的干扰。当连接能力不能满足用户率的要求时，它将生产一个中断事件。以便评估通讯质量，D2D连接的暴行概率被考虑连接延期阀值，数据率和干扰导出。除精力可获得性和每个D2D用户的signal-to-noise比率(SNR)以外，当选择中继D2D用户以便提高接待用户的D2D的signal-to-interference-plus-noise比率(SINR)时，在D2D用户之间的距离被考虑。联合导出的暴行概率，在平均连接延期阀值之中的关系，精力的效率和能力的效率被学习。模拟结果证明多重D2D用户合作计划不能仅仅帮助卸载精力消费并且限制D2D用户的干扰，而且提高精力的效率和能力的效率的干扰有限。

简介：Thepapermainlystudiesthesum-rateperformanceoflimitedfeedback(LFB)block-diagonalization(BD)inmulti-userdistributedantennasystem(DAS).Asthechannelstateinformation(CSI)fedbacktobasestation(BS)islimited,multi-userinterference(MUI)iscausedinevitablybecauseofthequantizationerror.ConsideringtheinfluenceoftheMUItothecapacityofDAS,weproposeaparameterofeffectivesum-rateratio(ESRR)todenotethecapacityoffsetundertheconditionoftheBScangetperfectCSIandlimitedCSIfirst,thenweconfirmthattheapproximatedESRRisveryclosetoactualESRRgotthroughsimulations.Afterthat,basedontheapproximatedESRR,anadaptiveminimumbitfeedbackschemewhichcaneffectivelyreducetheoverheadoffeedbackchannelandthecomplexityofthesystemisproposed.Simulationresultsshowtheeffectivenessoftheproposedscheme.

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简介：Two-dimensional(2D)multiple-inputmultiple-output(MIMO)iscurrentlyconcentratedonpropagationinhorizontalplane,buttheimpactofelevationangleisnotconsidered.However,duetothethree-dimensional(3D)characteroftherealMIMOchannel,2DMIMOcannotachievetheoptimalsystemthroughput.Amultiple-userMIMO(MU-MIMO)userpairingschemewasproposed,inwhichtheverticaldimensionwastakenintoconsideration.Intheproposedscheme,a3DcodebookbasedonfulldimensionMIMOchannelwasdesigned;thentwo3DMU-MIMOuser'spairingschemesareproposedcombiningtheproposedjointandseparate3Dcodebook.Simulationevaluatestheproposed3Dcodebookaideduserpairingschemeandcompareswiththeprevious2DMU-MIMOuserpairingtechnology.Owingtotheadditionalspatialdegreeoffreedominverticaldimension,theproposed3DMU-MIMOuserpairingschemescaneffectivelyimprovetheoverallsystemperformance.

简介：摘要：基于市场上已有的耳部清洁产品，对现有产品功能进行用户需求分析, 通过产品中蕴含的丰富用户需求信息。以耳部清洁器用户需求为主线, 进行基于功能的描述，确定耳部清洁器需求树模型，总结现有产品存在的痛点，结合技术、市场、CMF等因素，得到一款符合用户使用需求、安全方便的耳部清洁器产品。

简介：Inwirelesscellularnetworks,theinterferencealignment(IA)isapromisingtechniqueforinterferencemanagement.AnewIAschemefordownlinkcellularnetworkwithmulti-cellandmulti-userwasproposed.Intheproposedscheme,theinterferenceinthenetworksisdividedintointer-cellinterference(ICI)amongcellsandinter-userinterference(IUI)ineachcell.TheICIisalignedontoamulti-dimensionalsubspacebymultiplyingtheICIalignmentprecodingmatrixwhichisdesignedbythesingularvaluedecomposition(SVD)schemeatthebasestation(BS)side.ThealignedICIiseliminatedbytimingtheinterferencesuppressionmatrixwhichisdesignedbyzero-forcing(ZF)schemeattheuserequipment(UE)side.Meanwhile,theIUIisalignedbymultiplyingtheIUIalignmentprecodingmatrixwhichisdesignedbasedonNashbargainingsolution(NBS)ingametheory.TheNBSissolvedbytheparticleswarmoptimization(PSO)method.Simulationsshowthat,comparedwiththetraditionalZFIAscheme,theproposedschemecanobtainhigherdatarateandguaranteethedataratefairnessofUEswithlittleadditionalcomplexity.

简介：Whilecloud-basedBPM(BusinessProcessManagement)showspotentialsofinherentscalabilityandexpenditurereduction,suchissuesasuserautonomy,privacyprotectionandefficiencyhavepoppedupasmajorconcerns.Usersmayhavetheirownrudimentaryorevenfull-edgedBPMsystems,whichmaybeembodiedbylocalEAIsystems,attheirend,butstillintendtomakeuseofcloud-sideinfrastructureservicesandBPMcapabilities,whichmayappearasPaaS(Platform-as-a-Service)services,atthesametime.Awholebusinessprocessmaycontainanumberofnon-compute-intensiveactivities,forwhichcloudcomputingisover-provision.Moreover,someusersfeardataleakageandlossofprivacyiftheirsensitivedataisprocessedinthecloud.Thispaperproposesandanalyzesanovelarchitectureofcloud-basedBPM,whichsupportsuser-enddistributionofnon-compute-intensiveactivitiesandsensitivedata.Anapproachtooptimaldistributionofactivitiesanddataforsyntheticallyutilizingbothuser-endandcloud-sideresourcesisdiscussed.Experimentalresultsshowthatwiththehelpofsuitabledistributionschemes,dataprivacycanbesatisfactorilyprotected,andresourcesonbothsidescanbeutilizedatlowercost.

简介：最近的年见证网络(LBSN)满足的基于地点的聚会的曾经成长的流行。Top-N地方建议，瞄准检索呼吁为一个目标用户放的N大多数，因此获得了增加的重要性。这问题任何一个的然而存在的答案由选择附近流行的地方提供非个性化的建议，或诉诸合作过滤(CF)作为一个独立项目由各对待放，在地方之中俯看地理、语义的关联。在这篇论文，我们建议转到，提供top-N的合作recommender在LBSN个性化地方建议。与存在方法相比，转到由利用所谓的本地专家的智慧完成它的有效性，也就是，是的那些地理上关于某个用户关上并且有类似的偏爱。在转到谎言的核心，一项新奇用户类似措施叫了geo热门的类似，它为发现本地专家在地方之中联合地理、语义的关联。在里面特定，为用户建模的geo热门的类似使用Gaussian混合物真实地理模式，和摘录用户从历史上访问的地方的依附的标签的热门偏爱。真实LBSN数据集的广泛的实验证明与基线方法相比，转到能以精确性在多达50%改进top-N地方建议的性能。

简介：Orthogonalfrequencydivisionmultiplexing(OFDM)whichhasbeenadoptedinthelong-termevolution(LTE)systemcanimprovethesystemcapacityobviously.However,italsobringsaboutsevereinter-cellinterference(ICI)forcell-edgeusers(CEUs).Totacklethisproblem,multi-userselectionandpowercontrol(MuS-PC)isproposedasanefficientschemeinuplinkcoordinatedmulti-pointmulti-usermulti-inputmulti-output(CoMP-MU-MIMO)transmission/reception.Thispaperjointlyconsidersuser’ssignaltointerferenceplusnoiseratio(SINR)andproportionalfairness(PF)tomaximizethetotalchannelcapacityinmulti-userselectionbyformulatingapenaltyfunction.Tosimplifythepenaltyfunction’scomputation,particleswarmoptimization(PSO)algorithmisintroduced.Inaddition,powercontrolisadoptedtomaximizeoverallenergyefficiency.SimulationresultsdemonstratethattheMuS-PCschemecannotonlyobtaintheoptimaltotalchannelcapacitywhileguaranteeeachuser’squalityofservice(QoS)andPF,butalsolargelyreducecomputationalcomplexityandimproveenergyefficiency.Asaresult,thepoorcommunicationqualityofCEUscanbeenhanced.

简介：一个用户可编程的computational/control平台在提供即时混合模拟(RTHS)能力的多伦多大学被开发。站台用几个线性物理基础以前被验证。在这份报纸介绍的学习集中于进一步验证RTHS站台用一非线性粘弹性塑料更潮湿那有排水量，频率和温度依赖者性质。确认学习包括系统与粘弹性塑料的dampers装备了的一系列single-degree-of-freedom(SDOF)的更潮湿的部件描述测试，以及RTHS代表不同结构的图案。从部件描述测试，为大量刺激，频率和磨擦滑动负担，这被发现，追踪的错误比得上在线性春天系统的RTHS的错误。混合SDOF结果与独立地验证的thermalmechanical相比进一步验证能力让平台测试非线性的系统的粘弹性的模型。在确认以后，作为应用程序研究，非线性的SDOF混合测试被用来开发性能系列预言与抑制是更挑战性的为经分解建模的系统装备的结构的反应。试验性的表演系列的使用被把预言的反应比作与粘弹性塑料的dampers装备的2DOF系统的混合测试反应说明。

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简介：Coordinatedmulti-pointtransmission/reception(CoMP)wasproposedcurrentlyasaneffectivetechnologytoimprovecell-edgethroughputinnext-generationwirelesssystems.Mostoftheexistingworkdiscussedclusteringmethodsmostlytomaximizetheedgeuserthroughputwhileneglectingtheproblemofenergyefficiency,suchasthosealgorithmclusteringbasestations(BSs)ofbetterchannelconditionandBSsofworsechannelconditiontogether.Inaddition,BSsusuallyincreasethetransmitpowertoachievehigherthroughputwithoutanyconsideringofinterferencecausedtootherusers,thatmayresultinenergywaste.TheauthorsfocusonthethroughputmaximizingproblemwhilefullyconsideringenergysavingprobleminCoMPsystems.Acoefficientisdefinedtodescribethefitnessofclusters.Thenasub-carrierallocationalgorithmwithclusteringmethodisputforwardforCoMPdownlink,whichcansavethetransmitpowerofBSandincreasethethroughput.Furthermoreapowerallocationschemeisproposedbasedonnon-cooperationgame;inwhichthetransmitpowerisdecreasedbyBSsgenerallytoreachtheNashequation(NE).Simulationshowsthattheproposedsub-carrierallocationschemeandpowerallocationalgorithmarebetterthantheexistingonesonusers’throughputwhileconsumesmuchlessenergy.