简介：Securityofsmarttechnologieslikesmartgridsandcrowdenergysystemscannotrelyonlyontechnicalsolutions,humansplayasignificantroleinfailure,securityculture,informationsecurity,cybersecurity,trustandsharing,andperceptionsandconcern.Thispaperinvestigatessecurityissuesinsmarttechnologiesandtherelatedroleofhumanfailure,whetheritisintentionalorunintentional.Methodsthathelpreducingthisfailurearediscussed.Ahumanorientedframeworkforfailurereductionispresentedinordertoenhancesecurity.IndexTermsCrowdenergy,humanrole,intentionalfailure,security,smartgrids,unintentionalfailure.1.IntroductionManystateofthearttechnologiesaretaggedwiththe'smart'label.Ingeneralunderstandingthismeansinterconnectedness,interactivityand4.0automation,i.e.theapplicationofsensorsandinformationandcommunicationtechnology(SICT)andprocessinganever-changingandexpandingdata/knowledgebase.Fromahigherpointofview'smart'standsbutformorethanjusttheabove-mentionedtechnicalaspects;alsoandinparticularsocial,political,economicandecologicalaspectswillbeaddressed.Thismeansthat'smartmeetschallengestoimprovesustainablewelfare'[1].Inthissense,forexample,thetermsmartgridaddressesnotonlythecommunicativeinterconnectionandcontroloftheentitiesofapowersystem,i.e.technology,butpreciselyalsosustainability,conservationofresources,renewability,andefficiency.Securityhasbeenveryimportantfornewtechnologiesandsystemslikeelectricalgridsandpowerplants.Theseneedtobesecuredcarefullybecauseweaknessesinthesecuritymightleadtopartialdamageandreductionofserviceinseveralways.Inextremecasesdestructioncanhap-

简介：Thispaperpresentsahumandetectionsysteminavision-basedhospitalsurveillanceenvironment.Thesystemiscomposedofthreesubsystems,i.e.backgroundsegmentationsubsystem(BSS),humanfeatureextractionsubsystem(HFES),andhumanrecognitionsubsystem(HRS).ThecodebookbackgroundmodelisappliedintheBSS,thehistogramoforientedgradients(HOG)featuresareusedintheHFES,andthesupportvectormachine(SVM)classificationisemployedintheHRS.Bymeansoftheintegrationofthesesubsystems,thehumandetectioninavision-basedhospitalsurveillanceenvironmentisperformed.Experimentalresultsshowthattheproposedsystemcaneffectivelydetectmostofthepeopleinhospitalsurveillancevideosequences.

简介：

简介：Thispaperpresentsahumanactionrecognitionmethod.Itanalyzesthespatio-temporalgridsalongthedensetrajectoriesandgeneratesthehistogramoforientedgradients(HOG)andhistogramofopticalflow(HOF)todescribetheappearanceandmotionofthehumanobject.Then,HOGcombinedwithHOFisconvertedtobag-of-words(BoWs)bythevocabularytree.Finally,itappliesrandomforesttorecognizethetypeofhumanaction.Intheexperiments,KTHdatabaseandURADLdatabasearetestedfortheperformanceevaluation.Comparingwiththeotherapproaches,weshowthatourapproachhasabetterperformancefortheactionvideoswithhighinter-classandlowinter-classvariabilities.IndexTermsBag-of-words(BoWs),densetrajectories,histogramofopticalflow(HOF),histogramoforientedgradient(HOG),randomforest,vocabularytree.

简介：在HSV颜色空间的人的皮肤的特征广泛地基于内容在图象检索的区域被使用。因为它的价值为肤色有一个狭窄的范围，H作为基本识别参数被选择并且当照明紧张或皮肤表面的弯曲正在变化时，能保持稳定。有在HSV颜色空格的照明的变化的参数的规则被学习。当照明紧张被改变时，/2能使稳定的浸透和价值或皮肤表面(S+V)的平均数被变化，这第一被发现，并且(S+V)/2随着肤色变化，但是变化的趋势与H的相反。因此，(S+V)/H能被用作能提高HSV能力认出人的皮肤的一个新识别参数。CLC数字TN911.73

简介：ToovercometheshortcomingsoftheLeeimageenhancementalgorithmanditsimprovementbasedonthelogarithmicimageprocessing(LIP)model,thispaperproposeswhatwebelievetobeaneffectiveimageenhancementalgorithm.Thisalgorithmintroducesfuzzyentropy,makesfulluseofneighborhoodinformation,fuzzyinformationandhumanvisualcharacteristics.Toenhanceanimage,thispaperfirstcarriesoutthereasonablefuzzy-3partitionofitshistogramintothedarkregion,intermediateregionandbrightregion.Itthenextractsthestatisticalcharacteristicsofthethreeregionsandadaptivelyselectstheparameterαaccordingtothestatisticalcharacteristicsoftheimage’sgray-scalevalues.Italsoaddsausefulnonlineartransform,thusincreasingtheubiquityofthealgorithm.Finally,thecausesforthegray-scalevalueovercorrectionthatoccursinthetraditionalimageenhancementalgorithmsareanalyzedandtheirsolutionsareproposed.Thesimulationresultsshowthatourimageenhancementalgorithmcaneffectivelysuppressthenoiseofanimage,enhanceitscontrastandvisualeffect,sharpenitsedgeandadjustitsdynamicrange.