简介：Toachievelowerassemblydelayatopticalburstswitchingedgenode,thispaperproposesanapproachcalledcurrentweightlengthprediction(CWLP)toimproveexistingestimatemechanisminburstassembly.isintroducedtomakeadynamictradeoffbetweenthecurrentandpasttrafficunderdifferentoffsettime.SimulationresultsshowthatCWLPcanachieveasignificantimprovementintermsoftrafficestimationinvariousoffsettimeandofferedload.

简介：Anopticalsignal-to-noiseratio(OSNR)awarelightpathprovisioningmechanism(OSNR-LPM)isproposedfordistributedopticalnetworks.ThisOSNR-LPMtakestheOSNRvalueofthelightwavealongthelightpathintoconsiderationwhenestablishingthelightpathfortheconnectionrequestusingresourcereservationprotocol-trafficengineering(RSVP-TE).Moreover,theOSNR-LPMmakesfulladvantagesoftheOSNRmonitoringfunctionineachnodeandassignsthelightwavebyjudgingtheOSNRvaluecarriedbythesignalingmessageinordertoguaranteethereliableestablishmentofthelightpathinthedataplane.ThesimulationresultsshowthattheOSNR-LPMoutperformsotherlightpathassignmentmechanismsintermsofrealblockingprobabilityinthedataplane.

简介：Thestablemulticastflowaggregation(MFA)problemininternetprotocol(IP)overopticalnetworkunderthedynamicalscenarioisstudied.Givenanopticalnetworktopology,thereisasetofheadendsandaccessroutersattachedtotheopticalnetwork,inwhicheachheadendcanprovideasetofprograms(IPmulticastingflows)andeachaccessrouterrequestsasetofprograms,wefindasetofstablelight-treestoaccommodatetheoptimallyaggregatedmulticastIPflowsiftherequestsofaccessrouterschangeddynamically.Weintroduceaprogramcorrelationmatrixtodescribethepreferenceofendusers'requests.AstheoriginalMFAproblemisNP-complete,aheuristicapproach,namedmostcorrelatedprogramfirst(MCPF),ispresentedandcomparedwiththeextendedleasttreefirst(ELTF)algorithmwhichistopology-aware.SimulationresultsshowthatMCPFcanachievebetterperformancethanELTFintermsofstabilitywithnegligibleincrementofnetworkresourceusage.

简介：Ahandveinauthenticationsysteminwhichtheidentityofanindividualcanbereadilyconfirmedupongrippingahandleisproposed.Thisrecognitionmethodincorporatesinfraredlight-emittingdiode(LED)ontoadoorhandleandsetsacharge-coupleddevice(CCD)cameraontheothersideofthehand.Itbuildsonfuzzyc-meansclusteringandparallelneuralnetworks(NNs);moreover,itisexpectedtosolvethepatternrecognitionprobleminlarge-scaledatabasesusingNNsduetoitsself-learningandparallelprocessingcapabilitiesandbyeffectivelyincorporatingtrainingpatterns.Theexperimentalresultsvalidatetheefficiencyoftheproposedalgorithm.