简介:Thispaperaimsatassessinghowlocation-basedmobilesupportsystemscansupportsalespersons'CRMeffortswhentheyareoperatingwithinahighlymobileworkenvironment.Afterbrieflydiscussingthestate-of-the-artissuesassociatedwithmobilelocationtechnologies,thepaperconceptualizeskeydimensionsforlocation-basedmobilesupportsystems.ThepaperthendiscussesthedualroleofsalespersonsinCRM.Afourthsectionsuggestsacategorizationofsalespersons'CRMtasksbasedonbothpropertiesoflocation-basedmobilesupportandtheareasofsalespersons'CRM-relatedtasksthatmaybeaffectedbymobilelocationtechnologies.Finally,thepapersuggestspotentialmobilelocationservicesandapplicationsthatcanhelpsalespersonsperformeffectivelytheireverydayCRMtasksandlinksuchapplicationstothedeterminantofsalespersons'performance.Thepaperconcludeswithadiscussionofsomecriticalissuesandsuggestsareasforfurtherresearch.
简介:Acombinationoflight-emittingdiode(LED)identificationandatime-divisionmultiplexingschemeisproposedinthisLetterforindoorlocation-basedservice.Withthescheme,thearrangementofwhiteLEDlampsandthestructureofadataframearedesignedtorealizehigh-accuracyindoorpositioningandlocation-basedpayloaddatatransmissionsimultaneously.Theresultsoftheexperimentdemonstratethattheindoorpositioningaccuracyis10cmand2Mb/sdatatransmissionwithhighsignalqualityisrealized.
简介:Usinglinearinterpolationmethod,VIREalgorithmsimplytreatsthesignalstrengthvalueanddistanceofthereferencetagasalinearrelationship,leadingtotheinaccuracyofsignalstrengthvalueforvirtualreferencetags.ThethresholdinVIREalgorithmisafixedvaluethatneedsrepeatedlyadjustmentthroughexperiments,whichresultsinthecomplicatedalgorithm.Tosolvetheseproblems,animprovedalgorithmisproposedinthispaper,includingnonlinearinterpolationalgorithm,dynamicthresholdsettingandtagself-correctionoffuzzymap,whichbuildsanindoorpositioningsystembasedonreferencetags.Theexperimentalresultsshowthattheimprovedalgorithmcanimprovethepositioningaccuracyandimprovethestabilityofpositioningresultsunderbadenvironmentalconditionswithoutincreasingthenumberofreferencetags.
简介:Thepaperdescribesatexture-basedfasttextlocationschemewhichoperatesdirectlyintheDiscreteWaveletTransform(DWT)domain.Bythedistinguishingtexturecharacteristicsencodedinwavelettransformdomain,thetextisfastdetectedfromcomplexbackgroundimagesstoredinthecompressedformatsuchasJPEG2000withoutfulldecompress.Comparedwithsometraditionalcharacterlocationmethods,theproposedschemehastheadvantagesoflowcomputationalcost,robusttosizeandfontofcharactersandhighaccuracy.Preliminaryexperimentalresultsshowthattheproposedschemeisefficientandeffective.
简介:SupportVectorMachine(SVM)isapowerfulmethodologyforsolvingproblemsinnon-linearclassification,functionestimationanddensityestimation,whichhasalsoledtomanyotherrecentdevelopmentsinkernelbasedmethodsingeneral.Thispaperpresentsahighaccuracyandfault-tolerantSVMforthemobilegeo-locationproblem,whichisanimportantcomponentofpervasivecomputing.Simulationresultsshowitsbasiclocationperformance,andillustrateimpactsofthenumberoftrainingsamplesandtrainingareaontestlocationerror.
简介:CausedbyNon-Line-Of-Sight(NLOS)propagationeffect,thenon-symmetriccontaminationofmeasuredTimeOfArrival(TOA)dataleadstohighinaccuraciesoftheconventionalTOAbasedmobilelocationtechniques.RobustpositionestimationmethodbasedonbootstrappingM-estimationandHuberestimatorareproposedtomitigatetheeffectsofNLOSpropagationonthelocationerror.SimulationresultsshowtheimprovementovertraditionalLeast-Square(LS)algorithmonlocationaccuracyunderdifferentchannelenvironments.
简介:Timeefficiencyofkeyestablishmentandupdateisoneofthemajorproblemscontributorykeymanagementsstrivetoaddress.Toachievebettertimeefficiencyinkeyestablishment,weproposeaLocation-basedHuffman(L-Huffman)scheme.First,usersareseparatedintoseveralsmallgroupstominimizecommunicationcostwhentheyaredistributedoverlargenetworks.Second,bothuser'scomputationdifferenceandmessagetransmissiondelayaretakenintoconsiderationwhenHuffmancodingisemployedtoformingtheoptimalkeytree.Third,thecombinedweightsinHuffmantreearelocatedinahigherplaceofthekeytreetoreducethevarianceoftheaveragekeygenerationtimeandminimizethelongestkeygenerationtime.SimulationsdemonstratethatL-HuffmanhasmuchbetterperformanceinwideareanetworksandisalittlebetterinlocalareanetworkthanHuffmanscheme.
简介:Non-destructivetesting(NDT)hasbeenwidelyusedinmanyfields,wecaneasilyseeitisbeingusedinshipbuilding,aerospace,weaponsmanufacturingandsoon.ICTisoneofthebestnondestructivetestingmethodscurrently,butithasnotbeenusedwidely,becauseitrequiresmuchcomputeandcostsmuchtime.Defectlocationisoneofthemostimportantprocessingstepsinthedigitalimageanalysis.Defectlocationwouldcorrespondinglyreducethetimespentinthetesting.Wemayonlyrequirelocatingthedefectsinsomecase.So,wedividetheCTimagesintoseverallittleblockswhichthesquareisequal,andthencalculatethefractaloneachblock.Bydeterminingthevalueandconnectedregionnumberofthefractaldimension,wecanlocatedefectsoftheimage.Theresultsshowthattheblockfractaldimensionisausefulandtime-savingdefectlocationmethod.
简介:Thewidespreadoflocation-basedsocialnetworksbringsaboutahugevolumeofusercheck-indata,whichfacilitatestherecommendationofpointsofinterest(POIs).Recentadvancesondistributedrepresentationshedlightonlearninglowdimensionaldensevectorstoalleviatethedatasparsityproblem.CurrentstudiesonrepresentationlearningforPOIrecommendationembedbothusersandPOIsinacommonlatentspace,andusers'preferenceisinferredbasedonthedistance/similaritybetweenauserandaPOI.SuchanapproachisnotinaccordancewiththesemanticsofusersandPOIsastheyareinherentlydifferentobjects.Inthispaper,wepresentanoveltranslation-based,timeandlocationaware(TransTL)representation,whichmodelsthespatialandtemporalinformationasarelationshipconnectingusersandPOIs.Ourmodelgeneralizestherecentadvancesinknowledgegraphembedding.Thebasicideaisthattheembeddingofa〈time,location〉paircorrespondstoatranslationfromembeddingsofuserstoPOIs.SincethePOIembeddingshouldbeclosetotheuserembeddingplustherelationshipvector,therecommendationcanbeperformedbyselectingthetop-kPOIssimilartothetranslatedPOI,whichareallofthesametypeofobjects.Weconductextensiveexperimentsontworeal-worlddata.sets.TheresultsdemonstratethatourTransTLmodelachievesthestate-of-the-artperformance.Itisalsomuchmorerobusttodatasparsitythanthebaselines.
简介:Thispaperproposesaneffectivemethodoffaultlocationbasedonabinarytreeforopticalburstswitching(OBS)network.Tominimizethemonitoringcost,wedividethenetworkintoseveralmonitordomainsbyintroducingmonitoring-cyclealgorithms.Inordertogenerateanexclusivecode,wemodifythemonitoringcyclealgorithmwhentwonodeshavethesamecode.Throughthebinarytreealgorithm,apre-computationoffaultsintheOBSnetworkcanbeachieved.Whenafaulthappens,wecanlocateitimmediatelyandaccurately.Exampleshaveprovedthatthealgorithmhasgeneralapplicability.
简介:Anewformulawaspresentedforlocatingdoublebondpositionindodecenols,tetrade-cenols,hexadecenolsandtheiracetates,basedonmassspectraldataofdimethyldisulfidederivatives.Inthisprocedure,molecularionandbasepeakionwereutilizedascharacteristicparameterstoidentifythepositionalisomers.Themethodwastestedwithmassspectraof25dimethyldisulfldederivativesofmono-unsaturatedacetatesandalcohols,andtheoriginaldouble-bondpositionineachisomerwaslocatedunambiguously.
简介:Thetwo-echeloninventorysystemconsideredinthisworkisbasedononesinglesupplier,multipledistributioncenters,andmultipleretailers.Ineachechelonsafetyinventoryiscentralizedstoredinseveralcentralizedstoragecentersandlateraltransshipmentofsafetystockispermittedbetweencentralizedstoragesiteandnon-centralizedstoragesites.Theinventorypositioningandlocationdecisionmodeldevelopedfocusesonsafetystockcost,lateraltransshipmentcost,transportationcost,constructioncostandshortagecostinmulti-echelonsupplychain.Numericalexperimentsshowthat:nomatterwhetherintheechelonofdistributioncentersorretailersthefactorswhichaffecttheselectionfromonesinglecentralizedstoragecenterormultiplecentralizedstoragecentersaredistancebetweendistributioncentersorretailers,unittransshipmentcostandunitinventorycarryingcost.
简介:Thispaperthoroughlyinvestigatestheproblemofrobotself-locationbylinecorrespondences.Theoriginalcontributionsarethree-fold:(1)Obtainthenecessaryandsufficientconditiontodeterminelinearlytherobot'sposebytwolinecorrespondences.(2)Showthatifthespacelinesareverticalones,itisimpossibletodeterminelinearlytherobot'sposenomatterhowmanylinecorrespondenceswehave,andtheminimumnumberoflinecorrespondencesis3todetermineuniquely(butnon-linearly)therobot'spose.(3)Showthatifthespacelinesarehorizontalones,theminimumnumberoflinecorrespondencesis3forlineardeterminationand2fornon-lineardeterminationoftherobot'spose.