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1、LocationSensingandPrivacyinaContextAwareComputingEnvironmentAsimSmailagic,DanielP.Siewiorek,JoshuaAnhalt,DavidKogan,YangWangCarnegieMellonUniversityInstituteforComplexEngineeredSystemsPittsburgh,Pennsylvania15213Contact:asim@cs.cmu.eduAbstract-Thispaperpresentsandevaluatestwolocationrecorde
2、donacentralserverandmadeavailabletoothersensingalgorithmsthatwehavedevelopedanddemon-clients.Thisinformationisupdatedwhenevertheclientstrated.Wepresentcomparativeaccuracyresults,com-movesbetweenaccesspoints.Thisprovidesacheapandplexityoftrainingthesystem,andtotalpowerconsump-scalablelocatio
3、nservice,butonewhoseresolutionisrela-tionrequiredtoperformscanning.Ourmethodreducestivelycoarse-aspherethatisabout75feetindiameter,trainingcomplexitybyafactorofeight,andyieldsnotice-centeredoneachaccesspoint.Thisapproachalsoraisesablebetteraccuracy.Thepaperalsointroducesalocationquestionsof
4、privacysinceanyonecanobtainthelocationinformationprivacymodelandreportsonuserstudyre-ofaclienttothisresolution.sults.Ourresultsindicatethatusersexpecttwouniquebehaviorsfromtheprivacysystem,anintrovertmodelInthispaperwedescribetheclient-centricapproachbasedwhereprivacyispreferred,andanextrov
5、ertmodelwhereuponacombinedtriangulation,mappingandinterpolationavailabilityofinformationispreferred.algorithm(CMU-TMI).WeevaluatethecharacteristicsofKeywords-LocationAwareness,ContextAwareComput-thisapproachwithourpreviousalgorithm,CMUPatterning,PervasiveComputing,PrivacyMatching(CMU-PM),as
6、wellasVictorBahl’sRADARsystem[1][2].Thispaperalsointroducesattributesofalocationsensingsystemthatdescribetheirrelativemerits1.Introductionforevaluation,accuracy,complexityoftrainingandpowerPervasivecomputingisanemergingfieldincomputersys-consumption.Weproceedwithoutliningtheimportancetemsre
7、search.Thisnewparadigmintroducessmartspacesofprivacyforlocationinformation,userstudyforourloca-whichinteractnaturallywiththeuser.Fortheseinterac-tionprivacymodel,anddesignandimplementationofthetionstooccur,thesystemmustbeawarewheretheuseris.model.Weareus
