Energy storage component is essential in a solarassisted air conditioning system if the cooling dem.docx

Energy storage component is essential in a solarassisted air conditioning system if the cooling dem.docx

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Energystoragecomponentisessentialinasolarassistedairconditioningsystemifthecoolingdem

Patterninformationextractionfromcrystalstructures  OriginalResearchArticle

ComputerPhysicsCommunications,Volume176,Issue7,1April2007,Pages486-506

ErhanOkuyan,UğurGüdükbay,OğuzGülseren

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Determiningthecrystalstructureparametersofamaterialisanimportantissueincrystallographyandmaterialscience.Knowingthecrystalstructureparametershelpsinunderstandingthephysicalbehaviorofmaterial.Itcanbedifficulttoobtaincrystalparametersforcomplexstructures,particularlythosematerialsthatshowlocalsymmetryaswellasglobalsymmetry.Thisworkprovidesatoolthatextractscrystalparameterssuchasprimitivevectors,basisvectorsandspacegroupsfromtheatomiccoordinatesofcrystalstructures.Avisualizationtoolforexaminingcrystalsisalsoprovided.Accordingly,thisworkcouldhelpcrystallographers,chemistsandmaterialscientiststoanalyzecrystalstructuresefficiently.

Programsummary

Titleofprogram:

BilKristal

Catalogueidentifier:

ADYU_v1_0

ProgramsummaryURL:

http:

//cpc.cs.qub.ac.uk/summaries/ADYU_v1_0

Programobtainablefrom:

CPCProgramLibrary,Queen'sUniversityofBelfast,N.Ireland

Licensingprovisions:

None

Programminglanguageused:

C,C++,Microsoft.NETFramework1.1andOpenGLLibraries

Computer:

PersonalComputerswithWindowsoperatingsystem

Operatingsystem:

WindowsXPProfessional

RAM:

20–60MB

No.oflinesindistributedprogram,includingtestdata,etc.:

899 779

No.ofbytesindistributedprogram,includingtestdate,etc.:

9 271 521

Distributionformat:

tar.gz

Externalroutines/libraries:

Microsoft.NETFramework1.1.Forvisualizationtool,graphicscarddrivershouldalsosupportOpenGL

Natureofproblem:

Determiningcrystalstructureparametersofamaterialisaquiteimportantissueincrystallography.Knowingthecrystalstructureparametershelpstounderstandphysicalbehaviorofmaterial.Forcomplexstructures,particularly,formaterialswhichalsocontainlocalsymmetryaswellasglobalsymmetry,obtainingcrystalparameterscanbequitehard.

Solutionmethod:

Thetoolextractscrystalparameterssuchasprimitivevectors,basisvectorsandidentifythespacegroupfromatomiccoordinatesofcrystalstructures.

Restrictions:

Assumptionsareexplainedinthepaper.However,noneofthemcanbeconsideredasarestrictionontothecomplexityoftheproblem.

Runningtime:

Alltheexamplespresentedinthepapertakelessthan30secondsona2.4GHzPentium4computer.

ArticleOutline

1.Introduction

2.Aframeworkforpatterninformationextraction

2.1.Datastructuresandindexing

2.2.Thestagesoftheproposedframework

2.2.1.Readingandindexingthedata

2.2.2.Thealgorithmforgroupingidenticalatoms

2.2.3.Thealgorithmforextractingprimitivevectors

2.2.3.1.Thevectorsetgeneration.

2.2.3.2.Filteringoutredundantvectors.

2.2.3.3.Findingprimitivevectoralternatives.

2.2.4.Theclusteringalgorithm

2.2.5.Thealgorithmforfindingbasisvectors

2.2.6.Thealgorithmforidentifyingspacegroup

3.Implementation

3.1.Analyzer

3.2.VisualizationTool

4.Experimentalresultsandperformanceanalysis

4.1.Extractingprimitivevectorsandbasisvectors

4.2.Spacegroupidentification

4.3.Errorhandling

4.4.Performanceevaluation

4.4.1.Complexityanalysis

4.4.2.Dissectedexecutiontimesfordifferentstages

4.5.Theprogramfiles

4.6.Discussion

5.Conclusion

Acknowledgements

References

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927

DevelopmentandstructureofsynapticcontactsinDrosophila  ReviewArticle

SeminarsinCell&DevelopmentalBiology,Volume17,Issue1,February2006,Pages20-30

AndreasProkop,IanA.Meinertzhagen

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Structuralsynapsesarekeyregulatorsofinformationflowinneuronalnetworks.Tounderstandthefunctionandformationofneuronalcircuits,thedevelopmentandfunctionofsynapseshavethereforebeenintenselystudiedinbothvertebrateandinvertebratespecies.PrecisedescriptionsofsynapsesandtheiramenabilitytogeneticanalysisinthemodelorganismDrosophilaprovideanefficientplatformfromwhichtoexploremechanismsandprinciplesofsynapseformation,whichfindmanycounterpartsinotheranimals.HerewesummariseourknowledgeofthestructureofDrosophilasynapses.Focussingonneuromuscularjunctionsandphotoreceptorsynapses,weprovideanoverviewofmechanismsunderlyingthedevelopmentofsynapticstructureinDrosophila.

ArticleOutline

1.Introduction

2.ThelocationsofsynapsesintheDrosophilanervoussystem

3.ThestructureofDrosophilasynapses

3.1.Physiologicalconsiderations

3.2.GeneralfeaturesofDrosophilasynapses

3.3.Acommonpresynapticcomponentofflysynapses:

theT-barribbon

3.4.Othersynapticspecialisations

4.ThedevelopmentofsynapsesatNMJsandphotoreceptorterminals

4.1.Connectivityintheneuromuscularsystem

4.2.Formationofneuromuscularcontacts

4.3.Connectivityinthevisualsystem

4.4.Formationofphotoreceptorcontacts

4.5.Developmentalmechanismsestablishingsynapticultrastructure

5.Conclusions

Acknowledgements

AppendixA.Supplementarydata

References

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928

FuzzyC-meansbasedclusteringforlinearlyandnonlinearlyseparabledata  OriginalResearchArticle

PatternRecognition,Volume44,Issue8,August2011,Pages1750-1760

Du-MingTsai,Chung-ChanLin

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Abstract

Inthispaperwepresentanewdistancemetricthatincorporatesthedistancevariationinaclustertoregularizethedistancebetweenadatapointandtheclustercentroid.ItisthenappliedtotheconventionalfuzzyC-means（FCM）clusteringindataspaceandthekernelfuzzyC-means（KFCM）clusteringinahigh-dimensionalfeaturespace.Experimentsontwo-dimensionalartificialdatasets,realdatasetsfrompublicdatalibrariesandcolorimagesegmentationhaveshownthattheproposedFCMandKFCMwiththenewdistancemetricgenerallyhavebetterperformanceonnon-sphericallydistributeddatawithunevendensityforlinearandnonlinearseparation.

ArticleOutline

1.Introduction

2.FuzzyC-meansbasedclustering

2.1.FuzzyC-means（FCM）clustering

2.2.NewdistancemetricforFCM

2.3.KernelfuzzyC-meansclustering

2.4.NewdistancemetricforKFCM

2.5.Bandwidthsetting

3.Experimentalresults

3.1.Simulateddata

3.2.Realdatasets

3.3.Colorimagesegmentation

4.Conclusions

References

Vitae

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Researchhighlights

►AnewdistancemetricbasedondistancevariationisusedtoimproveFCMclustering.►ThenewdistancemetriccanalsobeappliedtokernelFCMforvariousdatashapes.►Theproposedalgorithmscanbeusedforlinearlyandnonlinearlyseparabledata.

929

Spacecraftdestructionduringre-entry–latestresultsanddevelopmentoftheSCARABsoftwaresystem  OriginalResearchArticle

AdvancesinSpaceResearch,Volume34,Issue5,2004,Pages1055-1060

T.Lips,B.Fritsche,G.Koppenwallner,H.Klinkrad

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AbstractAbstract

Abstract

Thecalculationofdestructivere-entriesandthepredictionoftherelatedgroundriskpotentialduetofragmentobjectsreachingthegroundhavebecomeofhighinterestinthepastyears.Thiswasalsoevidentduringthere-entryoftheMIRspacestationin2001.In1995,underESAcontract,HTGstartedaninternationalcooperationwithothercompaniesandinstitutestodeveloptheSCARABsoftwaresystem（SpacecraftAtmosphericRe-EntryandAerothermalBreak-Up）.SCARABisaquasi-deterministictool,modelingare-entryobjectdowntosub-systemlevel.Theresultingaerodynamicparametersandmassdistributionallowcalculatingarealistic6Dre-entrytrajectory.Geometryandmassarecontinuouslyupdatedduringcalculation.Multi-levelfragmentationsduetodifferentdestructionprocessesareconsidered.TheSCARABsoftwarehasbeenappliedtoseveralprojects,namelyATV（ESA）,ROSAT（Germany）,Ariane-5（ESA）andBeppoSAX（Italy）.ThepracticalapplicationofSCARABtoprojectworkhasbeendemonstrated.InadditionSCARABhasbeencomparedwithNASA'sORSATcode.Ithasalsobeenverifiedwithexperimentaldatagainedfromre-entryvehicles,break-upobservationsandwind-tunneltests.SCARABisnowonthewaytobecometheEuropeanstandardsoftwareforre-entrydestructionanalysis.

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930

UsingtheAttentionNetworkTesttopredictdrivingtestscores  OriginalResearchArticle

AccidentAnalysis&Prevention,Volume41,Issue1,January2009,Pages76-83

BruceWeaver,MichelBédard,JimMcAuliffe,MarieParkkari

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Abstract

Drivingisacomplexmulti-factorialtaskthattapsunderlyingmechanismsofcognitionandattention.Notsurprisingly,therefore,manytestsofcognitionandattentionaresignificantlyassociatedwithdrivingoutcomes.Inthisarticle,weintroducedrivingresearchersandclinicianswithaninterestindrivingtotheAttentionNetworkTest（ANT）,whichtoourknowledgehasnot