ejector cycle lowers the overall efficiency of the solarassisted air conditioning system.docx

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

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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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978

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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980

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

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Graphicalabstract

Compound[Bu4N]2[Ni（ppdt）2]

（1）exhibitsreversibleacid–basebehaviorupontheadditionof10 μLaliquotsofadiluteCH3COOHsolutioninforwardreactionand10 μLaliquotsofadiluteNH3soluti