Orthogonal drawings of graphs with vertex and edge labels.docx
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Orthogonaldrawingsofgraphswithvertexandedgelabels
MagneticResonanceImaging,Volume21,Issue10,December2003,Pages1175-1189
G.Garreffa,M.Carnì,G.Gualniera,G.B.Ricci,L.Bozzao,D.DeCarli,P.Morasso,P.Pantano,C.Colonnese,V.Roma,BMaraviglia
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Edgeenhancementbylocaldeconvolution OriginalResearchArticle
PatternRecognition,Volume38,Issue5,May2005,Pages661-672
O.Laligant,F.Truchetet,A.Dupasquier
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Abstract
Inthispaperanewapproachforblurredimagerestorationispresented.Ouralgorithmisbasedonhumanvisionwhichzoomsbackandforthintheimageinordertoidentifyglobalstructuresordetails.Deconvolutionparametersareestimatedbyanedgedetectionandcorrespondtotheonesofachosenedgedetectionmodel.Thesegmentationisobtainedbymergingmultiscaleinformationprovidedbymultiscaleedgedetection.TheedgedetectionisachievedbyusingaderivativeapproachfollowingageneralizationofCanny–Derichefiltering.Thismultiscaleanalysisperformsanefficientedgedetectioninnoisyblurredimages.Themergingleadstothebestlocalrepresentationofedgeinformationacrossscales.Thealgorithmdealswithamixed(coarse-to-fine/fine-to-coarse)approachandsearchesforcandidateedgepointsthroughthescales.Edgecharacteristicsareestimatedbythemergingalgorithmforthechosenmodel.Scale,directionandamplitudeinformationsallowalocaldeconvolutionoftheoriginalimage.Thenoiseproblemisnotconsideredinthisworksinceitdoesnotdisturbtheprocess.Resultsshowthatthismethodallowsnon-uniformlyblurredimagerestoration.Animplementationofthewholealgorithminanintelligentcamera(DSP)hasbeenperformed.
ArticleOutline
1.Introduction
2.Edgedetection
2.1.Edgemodel
2.2.Edgedetector
2.3.Responsesandperformancesofthedetectors
2.3.1.Response
2.3.2.Edgelocalization
2.3.3.Signaltonoisecriterion
2.4.Strategyforrestoration
3.Edgeimagerepresentation
3.1.Multiscaleedgedetection
3.2.Influenceofaneighboredge
3.3.Merging
4.Restoration
4.1.Modelparametersestimate
4.2.Deconvolution
4.3.Results
5.Conclusion
AppendixA.Responseofthedetectorstotheedgemodel
AppendixB.Localization
AppendixC.Signalovernoiseratio
AppendixD.Scaleofthedetectorsformaximuminlocalization
References
Vitae
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Algorithmsforoptimalmulti-resolutionquantization OriginalResearchArticle
JournalofAlgorithms,Volume50,Issue1,January2004,Pages1-22
SorinaDumitrescu,XiaolinWu
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Abstract
Multi-resolutionquantizationisawayofconstructingaprogressivelyrefinabledescriptionofa discreterandomvariable.Theunderlyingdiscreteoptimizationproblemistominimizeanexpecteddistortionoverallrefinementlevelsweightedbytheprobabilityorimportanceofthedescriptionsofdifferentresolutions.Thisresearchismotivatedbytheapplicationofmultimediacommunicationsviavariable-ratechannels.WeproposeanO(rN2)timeandO(N2logN)spacealgorithmtodesignaminimum-distortionquantizerofrlevelsforarandomvariabledrawnfromanalphabetofsize N.Itisshownthatforaverylargeclassofdistortionmeasurestheobjectivefunctionofoptimalmulti-resolutionquantizationsatisfiestheconvexMongeproperty.TheefficiencyoftheproposedalgorithmhingesontheconvexMongeproperty.Butouralgorithmissimpler(eventhoughofthesameasymptoticcomplexity)thanthewell-knownSMAWKfastmatrixsearchtechnique,whichisthebestexistingsolutiontothequantizationproblem.Forexponentialrandomvariablesourapproachleadstoasolutionofevenlowercomplexity:
O(rN)timeandO(NlogN)space,whichoutperformsalltheknownalgorithmsforoptimalquantizationinbothmulti-andsingle-resolutioncases.Wealsogeneralizethemulti-resolutionquantizationproblemtoagraphproblem,forwhichouralgorithmoffersanefficientsolution.
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Theeffectsofstatic,dynamicandfatiguebehavioronthree-dimensionalshapeoptimizationofhipprosthesisbyfiniteelementmethod OriginalResearchArticle
Materials&Design,Volume28,Issue8,2007,Pages2269-2277
OguzKayabasi,BulentEkici
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Abstract
Thefiniteelementmethod,oneofthemostadvancedsimulationtechniquesinsolidmechanics,isusedfororthopedicbiomechanics.Itisusedasatoolforthedesignandanalysisoftotaljointreplacementandotherorthopedicdevices.Thedesignofhipjointprosthesesisacomplexprocessthatrequirescloseco-operationbetweenengineersandsurgeons.Todesignhighlydurableprosthesesonehastotakeintoaccountthenaturalprocessesoccurringinthebone.Oneofthemostimportantfactorsintheimplantdesignistoreducestressonthefemurandthebone-cement.Thepurposeofthisstudyistoinvestigatethebehaviorofnewlydesignedimplantsunderbodyweightloadduringstumblingbyparametricmodeling.Twodifferentimplantmaterialshavebeenselectedtostudyappropriatematerialandfatigueliferesistant.Intheparametricdesign,theprosthesisfunctionalrequirementisthatthelockingofstemtothefemurheadusingcementshouldbestrongenoughtoprecludeunlockingduringthelifetimeofapatientandtopreventslidingoftheimplantintothebone-cement.
Inthefiniteelementanalysis,physicalinteractionsamongjointsaresimulatedbycontactalgorithms.Thefemur–bone-cementinterfaceandthebone-cement–implantinterfacesurfacetosurfacecontactalgorithmsofANSYSwereusedforimplicitstaticanalysis.Threestem-cementinterfaceconditionsareconsidered:
completelybonded,debondedwithcoefficientoffriction0,anddebondedwithcoefficientoffriction0.2.Intheanalysis,aviscoelasticmaterialmodelisutilizedforbone-cement.Numericalshapeoptimizationisappliedtotheprosthesis.
TheresultsoffiniteelementsimulationsarecomparedwithCharnley’simplantresultsandappropriatematerialfortheimplantisproposed.Thebeststemshapesfulfillingthedesiredfunctionalrequirementsarechosenforthedesign.Thesefindingscanformabaseforfurtherresearchsuchastheoptimumdesignofbone-implanthipprosthesis.
ArticleOutline
1.Introduction
2.Methods,geometricandfiniteelementmodeling
2.1.Methods
2.2.Parametricandgeometricmodeling
2.3.Finiteelementmodeling
3.Results
4.Conclusion
References
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Assistingconceptualdesignofbuildingstructuresbyaninteractivedescriptionlogicbasedplanner OriginalResearchArticle
AdvancedEngineeringInformatics,Volume17,Issue1,January2003,Pages41-57
MichaelEisfeld,RaimarScherer
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Abstract
Designingstructuralconfigurationsfortoday'sbuildingstructuresisachallengingengineeringactivitythatneedstobesupported.Existingsystemsoftencannotsupporttheengineerindesigningastructuralconfigurationwitharobustgloballoadtransfer.Inthispaper,wediscussaninteractiveplanningalgorithmthatassiststheengineerintheconceptualdesigntaskbyknowledgeaboutstructure.Centraltoourapproachistheuseofadaptedinferenceservicesofadescriptionlogicreasonerthatcontrolsthegloballoadtransferofthestructuralconfigurationunderdevelopmentandthedesignprocessontheirevaluationresults.Weintroducetheexpressivedescriptionlogiclanguage
−torepresentstructuralknowledgeacquiredfrompractitioners.Ahierarchicalplanninglanguageontopofitusedforrepresentingthedynamicdesignprocess.
ArticleOutline
1.Introduction
2.Problemformulation
3.Computationalconceptualdesigntask
3.1.Thelanguage
andthereasoningservicesforconceptualdesignsupport
3.2.Theplanninglanguageon
3.3.InteractivealgorithmConEd
4.Detailedexample
5.Relatedwork
6.Conclusions
Acknowledgements
References
Vitae
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Amarscommunicationconstellationforhumanexplorationandnetworkscience OriginalResearchArticle
AdvancesinSpaceResearch,Volume45,Issue1,4January2010,Pages183-199
FrancescoCastellini,AndreaSimonetto,RobertoMartini,MichèleLavagna
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Abstract
ThispaperanalysesthepossibilityofexploitingasmallspacecraftsconstellationaroundMarstoensureacompleteandcontinuouscoverageoftheplanet,forthepurposeofsupportingfuturehumanandroboticoperationsandtakingadvantageofopticaltransmissiontechniques.Thestudyforeseessuchacommunicationsmissiontobeimplementedatleastafter2020andahighdata-raterequirementisimposedforthereturnofhugescientificdatafrommassiveroboticexplorationortoallowvideotransmissionsfromapossiblehumanoutpost.
Inaddition,theset-upofacommunicationconstellationaroundMarswouldgivetheopportunityofexploitingthismulti-platforminfrastructuretoperformnetworkscience,thatwouldlargely