local control and data acquisition CDAQ subsystem for gammaray.docx
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local control and data acquisition CDAQ subsystem for gammaray.docx
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localcontrolanddataacquisitionCDAQsubsystemforgammaray
276
Landinformationsystem:
Aninteroperableframeworkforhighresolutionlandsurfacemodeling OriginalResearchArticle
EnvironmentalModelling&Software,Volume21,Issue10,October2006,Pages1402-1415
S.V.Kumar,C.D.Peters-Lidard,Y.Tian,P.R.Houser,J.Geiger,S.Olden,L.Lighty,J.L.Eastman,B.Doty,P.Dirmeyer,J.Adams,K.Mitchell,E.F.Wood,J.Sheffield
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Knowledgeoflandsurfacewater,energy,andcarbonconditionsareofcriticalimportanceduetotheirimpactonmanyrealworldapplicationssuchasagriculturalproduction,waterresourcemanagement,andflood,weather,andclimateprediction.LandInformationSystem(LIS)isasoftwareframeworkthatintegratestheuseofsatelliteandground-basedobservationaldataalongwithadvancedlandsurfacemodelsandcomputingtoolstoaccuratelycharacterizelandsurfacestatesandfluxes.LISemploystheuseofscalable,highperformancecomputinganddatamanagementtechnologiestodealwiththecomputationalchallengesofhighresolutionlandsurfacemodeling.TomaketheLISproductstransparentlyavailabletotheendusers,LISincludesanumberofhighlyinteractivevisualizationcomponentsaswell.TheLIScomponentsaredesignedusingobject-orientedprinciples,withflexible,adaptableinterfacesandmodularstructuresforrapidprototypinganddevelopment.Inaddition,theinteroperablefeaturesinLISenablethedefinition,intercomparison,andvalidationoflandsurfacemodelingstandardsandthereuseofahighqualitylandsurfacemodelingandcomputingsystem.
ArticleOutline
1.Introduction
2.LandsurfacemodelinginLIS
3.ComponentsofLIS
4.InteroperabilityinLIS
4.1.InteroperabledesignfeaturesinLIS
4.2.AdoptedinteroperablefeaturesinLIS
5.Results
6.Summaryandfuturedirections
Acknowledgements
References
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277
Wide-range,fastandrobustestimationofpowersystemfrequency OriginalResearchArticle
ElectricPowerSystemsResearch,Volume65,Issue2,May2003,Pages109-117
M.Karimi-Ghartemani,M.R.Iravani
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Abstract
Anovelmethodoffrequencyestimation,forpowersystemapplicationssuchascontrolandprotection,isproposedanditsperformanceisevaluated.Theproposedfrequencyestimatorcanmeasuresmallaswellaslargedeviationsfromthenominalpoint.Itcloselyfollowsstep,rampandoscillatoryvariationsofthefrequencyovertime.Othersignificantfeaturesoftheproposedalgorithmare:
(a)structuralsimplicity,whichrendersitsuitableforhardware/softwareimplementation;(b)performancerobustnessinthepresenceofDCoffsetandharmoniccomponents;(c)noiseimmunity;(d)performancerobustnesswithrespecttoexternaldisturbancessuchascommutationnotchesandswitchingtransients;and(e)flexibilityofcontroloverspeedandaccuracy.Rateofchangeoffrequencyisalsodirectlyprovidedbytheestimatorwhichisarequirementinsomesystemprotectionalgorithms.Inahighlypollutedenvironment,theproposedestimatorcanbesettomeasurethefrequencyinfewcyclesofthesignalandwithasteady-stateerrorwhichislimitedto0.02Hz.
ArticleOutline
1.Introduction
2.Problemdefinition
3.OverviewoftheEPLL
4.Proposedpowerfrequencyestimator
5.Studyresults
5.1.Puresinusoidal
5.2.PresenceofDCoffset
5.3.Presenceofharmonics
5.4.Presenceofnoise
5.5.Effectofdisturbances
5.6.Effectofmisadjustmentofinternalparameters
5.7.Compoundeffectofundesiredcomponents
5.8.Stepchangeinthefrequency
5.9.Oscillatoryfrequencyvariation
5.10.Oscillatingrampfrequency
5.11.Impulsivedisturbances
5.12.Rateofchangeoffrequency
6.Summaryandconclusions
References
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278
Atunablehigh-performancearchitectureforenhancementofstreamvideocapturedundernon-uniformlightingconditions OriginalResearchArticle
MicroprocessorsandMicrosystems,Volume32,Issue7,October2008,Pages386-393
MingZ.Zhang,Ming-JungSeow,LiTao,VijayanK.Asari
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Abstract
Anovelarchitectureforperforminghue-saturation-value(HSV)domainenhancementofdigitalcolorimagescapturedundernon-uniformlightingconditionsisproposedinthispaperforvideostreamingapplications.Theapproachpromoteslog-domaincomputationtoeliminateallmultiplications,divisionsandexponentiationsutilizingthecompacthigh-speedlogarithmicestimationmodules.Anoptimizedquadrantsymmetricarchitectureisincorporatedintothedesignofhomomorphicfilterfortheenhancementofintensityvalue.EfficientmodulesarealsopresentedforconversionbetweenRGBandHSVcolorspaceswithtunableHandScomponentsinHSVformoreflexiblecolorrendering.Thedesignisabletobringoutdetailshiddeninshadowregionsoftheimageandpreservethebrightpartswithadjustablevividnessandcolorshiftforimprovementofvisualqualitywhilemaintainingitsconsistency.Itiscapableofproducing187.86millionoutputspersecond(MOPs)onXilinx’sVirtexIIXC2V2000-4ff896fieldprogrammablegatearray(FPGA)ataclockfrequencyof187.86 MHz.Itcanprocessover179.1(1024 × 1024)framespersecond,whichisverysuitableforhighdefinitionvideos,andconsumesapproximately70.7%and76.8%lesshardwareresourcewith127%and280%performanceboostwhencomparedtothedesignswithmachinelearningalgorithmin[M.Z.Zhang,M.J.Seow,V.K.Asari,Ahighperformancearchitectureforcolorimageenhancementusingamachinelearningapproach,InternationalJournalofComputationalIntelligenceResearch–SpecialIssueonAdvancesinNeuralNetworks2
(1)(2006)40–47],andwithseparateddynamicandcontrastenhancementsin[H.T.Ngo,M.Z.Zhang,L.Tao,V.K.Asari,Designofahighperformancearchitectureforreal-timeenhancementofvideostreamcapturedinextremelylowlightingenvironment,InternationalJournalofEmbeddedSystems:
SpecialIssueonMediaandStreamProcessing,inpress],respectively.Thisapproachalsoprovide83.4timesperformancegainwithmoreconsistentfidelityintheresultscomparedtosomeDSPbasedimplementations(256 × 256framesize)[G.D.Hines,Z.Rahman,D.J.Jobson,G.A.Woodell,DSPimplementationoftheretineximageenhancementalgorithm,visualinformationprocessingXIII,in:
ProceedingsoftheSPIE,vol.5438,2004,pp.13–24;G.D.Hines,Z.Rahman,D.J.Jobson,G.A.Woodell,Single-scaleretinexusingdigitalsignalprocessors,in:
ProceedingsoftheGlobalSignalProcessingConference,September2004,pp.1–6]underthereflectance-illuminancecategoryofimageenhancementmodels.
ArticleOutline
1.Introduction
2.Relatedworks
2.1.Quadrantsymmetryproperty
2.2.Log-domaincomputation
3.Reflectance-illuminancemodel
3.1.HomomorphicbasedHSV-domainenhancement
3.2.Briefcomparisonofalgorithmsunderthemodel
4.Designofsystemarchitecture
4.1.Overview
4.2.Architectureofhomomorphicfilterunit
4.2.1.Architectureofpipelinedprocessingelementsinhomomorphicfilter
4.3.Databufferunit
4.4.ArchitectureforRGB2HSVcolorspaceconversion
4.5.ArchitectureforHSV2RGBcolorspaceconversion
5.Hardwaresimulationanderroranalysis
6.Resourceutilizationandperformanceevaluation
7.Conclusion
References
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279
Aparallelevolutionaryalgorithmtooptimizedynamicmemorymanagersinembeddedsystems OriginalResearchArticle
ParallelComputing,Volume36,Issues10-11,October-November2010,Pages572-590
JoséL.Risco-Martín,DavidAtienza,J.ManuelColmenar,OscarGarnica
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Forthelast30years,severaldynamicmemorymanagers(DMMs)havebeenproposed.SuchDMMsincludefirstfit,bestfit,segregatedfitandbuddysystems.Sincetheperformance,memoryusageandenergyconsumptionofeachDMMdiffers,softwareengineersoftenfacedifficultchoicesinselectingthemostsuitableapproachfortheirapplications.Thisissuehasspecialimpactinthefieldofportableconsumerembeddedsystems,thatmustexecutealimitedamountofmultimediaapplications(e.g.,3Dgames,videoplayers,signalprocessingsoftware,etc.),demandinghighperformanceandextensivememoryusageatalowenergyconsumption.Recently,wehavedevelopedanovelmethodologybasedongeneticprogrammingtoautomaticallydesigncustomDMMs,optimizingperformance,memoryusageandenergyconsumption.However,althoughthisprocessisautomaticandfasterthanstate-of-the-artoptimizations,itdemandsintensivecomputation,resultinginatime-consumingprocess.Thus,parallelprocessingcanbeveryusefultoenabletoexploremoresolutionsspendingthesametime,aswellastoimplementnewalgorithms.InthispaperwepresentanovelparallelevolutionaryalgorithmforDMMsoptimizationinembeddedsystems,basedontheDiscreteEventSpecification(DEVS)formalismoveraServiceOrientedArchitecture(SOA)framework.Parallelismsignificantlyimprovestheperformanceofthesequentialexplorationalgorithm.Ontheonehand,whenthenumberofgenerationsarethesameinbothapproaches,ourparalleloptimizationframeworkisableto
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