ejector cycle lowers the overall efficiency of the solarassisted air conditioning system.docx
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ejector cycle lowers the overall efficiency of the solarassisted air conditioning system.docx
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ejectorcyclelowerstheoverallefficiencyofthesolarassistedairconditioningsystem
Thedesignofgranularclassifiers:
Astudyinthesynergyofintervalcalculusandfuzzysetsinpatternrecognition OriginalResearchArticle
PatternRecognition,Volume41,Issue12,December2008,Pages3720-3735
W.Pedrycz,B.J.Park,S.K.Oh
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Abstract
Inthisstudy,weareconcernedwithadevelopmentofacertaincategoryofgranularclassifiersreferredheretoashyperbox-drivenclassifiers(HDC).Theapproachfullycapitalizesonthetwokeytechnologiesofgranularcomputing,namelyset(interval)calculusandfuzzysetsindealingwithadescriptionofgeometryofpatterns(data)belongingtoacertaincategory.Wetakeadvantageofthecapabilitiesofsets(intervalsandtheirCartesianproducts)whendescribingacorestructureofclassesofpatternsintheformofsomehyperboxes.Theircombinationsarereferredtoasacorestructureofthefeaturespace.Next,werefinethegeometryoftheclassifierbybringingforwardtheconceptsofregionsofthefeaturespacecharacterizedbyfuzzysets.Theyaresoughtasasecondarystructure.TheconstructionofthecorestructureisrealizedbymeansofthesupervisedversionofDBSCAN—oneofthepopularclusteringalgorithmsofdatamining.Thesecondarystructureisdescribedbyfuzzysetswhosemembershipfunctionsareasolutiontosomeoptimizationproblemofallocationofdegreesofbelongingness.IntheformationofthesecondarystructureweexploitaconceptoftheHausdorffdistancethatdeterminesadistancebetweensomeinformationgranule(ofawelldefinedgeometry)andanumericpattern(apointinthehighlydimensionalfeaturespace).Thetwo-stagedescriptionofthegranularclassifierisalsobeneficialinthecharacterizationoftheclassificationerror.Byvirtueofthedesignofthecorestructure,theclassificationerroroccurringthereassumesverysmall,almostzerovalues.Ontheotherhand,thesecondarystructurecomingwithasubstantiallevelofoverlapbetweenclassesischaracterizedbyrelativelyhighervaluesoftheclassificationerror.Beingcognizantofthat,wesuggestawayofformingasyntheticmeasurebuiltonthemembershipvaluesandnamedaseparabilityindexthathelpsquantifytheclassificationerrorinthissetting.Aseriesofnumericexamplesareusedtodemonstratetheeffectivenessoftheproposedgranularclassifiers.
ArticleOutline
1.Introductorycomments
2.ThedevelopmentofthecorestructureoftheHDC
2.1.UnsupervisedandsupervisedmodesofoperationofHDC
2.2.Theselectionofthemainparameters—MinPtsandEps
3.Thedevelopmentofthesecondarystructurethroughtheformationoffuzzysets
3.1.Hausdorffdistance:
agenericconcept
3.2.Computingclassmembershipinthesecondarystructure
4.Granularpatternclassification
5.Experimentalstudies
5.1.Syntheticdataset
5.2.Machinelearningdatasets
6.Conclusions
Acknowledgements
References
Vitae
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977
QoSmechanismsformultimediacommunicationsoverTDMA/TDDWLANs OriginalResearchArticle
ComputerCommunications,Volume29,Issues13-14,21August2006,Pages2721-2735
FranciscoM.Delicado,PedroCuenca,LuisOrozco-Barbosa
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Abstract
Thedesignofhigh-performancewirelessLANtechnologiesmakinguseofTDMA/TDDMACisaveryactiveareaofresearchanddevelopment.Thecontrolofthenetworkresourcesofsuchnetworksistakencarebyacentralcontroller.Themobileterminalsmayplacetheirresourcerequestsbymakinguseofawell-definedsetofprimitives.Inturn,thecentralcontrollerallocatesthechannelbandwidthamongallthecompetingmobiles.Inthiswork,weundertakethedesignandperformanceevaluationofasetofQoS-awaremechanismsbuiltontopoftheunderlyingsignallingandbandwidthallocationmechanismsprovidedbymostwirelessLANsstandards.Onourdesign,weassesstheamountofoverheadintroducedbytheproposedmechanisms:
animportantfeaturewhendesigningscalablemechanismsforwirelessenvironments.Furthermore,wevalidatetheeffectivenessofourproposedschemesbyquantitativelyevaluatingthevideoqualityasperceivedbytheenduser.OurresultsshowthattheproposedschemesareabletoguaranteetheQoSrequirementsofthevariousservices:
voice,video,best-effort,andbackground.
ArticleOutline
1.Introduction
2.PrinciplesofTDMA/TDDnetworks
3.Relatedwork
4.QoS-awaremechanismsforTDMA/TDDwirelessLANs
4.1.Resourcerequestmechanisms
4.2.Bandwidthallocationschemes
5.Performanceevaluation
5.1.Simulationsetupandscenarios
5.2.Metrics
5.3.Simulationresults
6.Conclusions
Acknowledgements
References
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Anexperimental–computationalsystemformaterialsthermalpropertiesdeterminationanditsapplicationforspacecraftstructurestesting OriginalResearchArticle
ActaAstronautica,Volume61,Issues1-6,June-August2007,Pages341-351
O.M.Alifanov,S.A.Budnik,V.V.Mikhaylov,A.V.Nenarokomov,D.M.Titov,V.M.Yudin
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Abstract
Anexperimental–computationalsystem,whichisdevelopedattheThermalLaboratory,DepartmentSpaceSystemsEngineering,MoscowAviationInstitute(MAI),ispresentedforinvestigatingthethermalpropertiesofcompositematerialsbymethodsofinverseheattransferproblems.Thesystemisaimedatinvestigatingthematerialsinconditionsofunsteadycontactand/orradiationheatingoverawiderangeoftemperaturechangesandheatingratesinavacuum,airandinertgasmedium.Thepaperconsidersthehardwarecomponentsofthesystem,includingtheexperimentfacilityandtheautomatedsystemofcontrol,measurement,dataacquisitionandprocessing,aswellastheaspectsofmethodicalsupportofthermaltests.Inthenextparttheconceptionandrealizationofacomputercodeforexperimentaldataprocessingtoestimatethethermalpropertiesofthermal-insulatingmaterialsisgiven.Themostpromisingdirectioninfurtherdevelopmentofmethodsfornon-destructivecompositematerialsusingtheprocedureofsolvinginverseproblemsisthesimultaneousdeterminationofacombinationoftheirthermalandradiationproperties.Thegeneralmethodofiterativeregularizationisconcernedwithapplicationtotheestimationofmaterialsproperties(e.g.,example:
thermalconductivityλ(T)andheatcapacityC(T)).Suchproblemsareofgreatpracticalimportanceinthestudyofmaterialpropertiesusedasnon-destructivesurfaceshieldinobjectsofspaceengineering,powerengineering,etc.Inthethirdparttheresultsofpracticalimplementationofhardwareandsoftwarepresentedintheprevioustwopartsaregivenfortheestimatingofthermalpropertiesofthermal-insulatingmaterials.Themainpurposeofthisstudyistoconfirmthefeasibilityandeffectivenessofthemethodsdevelopedandhardwareequipmentfordeterminingthermalpropertiesofparticularmodernhighporousmaterials.
ArticleOutline
1.Introduction
2.Theexperimental–computationalsystem
3.Developmentandmanufactureofspecimens
4.Testing
5.Estimationofthethermalpropertiesbyaninversemethod
6.Conclusions
Acknowledgements
References
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979
OxidationbehaviorofextrudedMo5Si3Bx–MoSi2–MoBintermetallicsfrom600°–1600 °C OriginalResearchArticle
Intermetallics,Volume10,Issue6,June2002,Pages555-570
AndrewJ.Thom,EricSummers,MufitAkinc
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AnitrogenrichNi(II)–dithiolatesystemexhibitingacid–basebehavior:
Synthesis,supramolecularstructureandspectroscopyof[Bu4N]2[NiII(ppdt)2](ppdt = pyrido[2,3-b]pyrazine-2,3-dithiolate)
InorganicChemistryCommunications,Volume12,Issue5,May2009,Pages355-358
RamababuBolligarla,GummadiDurgaprasad,SamarK.Das
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Abstract
Thecompound[Bu4N]2[Ni(ppdt)2]
(1)(ppdt = pyrido[2,3-b]pyrazine-2,3-dithiolate)hasbeensynthesized,startingfrompyrido[2,3-b]pyrazine-2,3-dithiol,nickelchlorideandtetrabutylammoniumbromideinmethanol.Compound1crystallizesinP21/cspacegroup(monoclinicsystem).ItscrystalstructureischaracterizedbyinterestingC–H
SandC–H
Nsupramolecularweakinteractions.Itssolutionstatehasbeendescribedwithacid–base(protonation–deprotonation)behavior,thathasrarelybeeninvestigatedforametal–dithiolenesystem.Compound1isfirstinstanceofametal–dithiolenecompoundthathasthreeringnitrogenoneachdithiolateligand.ThepHdependentchangesinthecharge-transferabsorptionbandareattributedtotheprotonationonaniminenitrogenoftheppdtligand.Thecomplexiselectrochemicallyquasi-reversiblewithanoxidationpotentialofE1/2 = +0.46 Vvs.Ag/AgClinmethanol.
ArticleOutline
Acknowledgements
AppendixA.Supplementarymaterial
References
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Graphicalabstract
Compound[Bu4N]2[Ni(ppdt)2]
(1)exhibitsreversibleacid–basebehaviorupontheadditionof10 μLaliquotsofadiluteCH3COOHsolutioninforwardreactionand10 μLaliquotsofadiluteNH3soluti
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