Optimum tooling design for resin transfer molding with virtual manufacturing and artificial intellig.docx

Optimum tooling design for resin transfer molding with virtual manufacturing and artificial intellig.docx

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Optimumtoolingdesignforresintransfermoldingwithvirtualmanufacturingandartificialintellig

JournalofMagnetismandMagneticMaterials,Volume277,Issues1-2,June2004,Pages216-220

N.Tutkun,A.J.Moses

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Thegeneticalgorithm（GA）methodhasrecentlybeenaveryusefultoolforthedesignoptimisationofswitchingelectromagneticdevicessuchastransformersbuiltfromtoroidalcores.Inthesetypesofcores,innerandouterdiameters,primaryandsecondarynumberofturns,thestripwidthareinfluentialparametersonpowerlossincreaseundersinusoidalandnon-sinusoidalexcitations.Thedesignoptimisationofmagneticcoresusingconventionalmethodsrequiresthesolutionsofasetofnon-linearequationsandwell-experiencedengineers.However,anoptimaldesignofthecorescanbeachievedusingasimpleGAdesign.Inthispaper,theGAmethodhasbeenusedfortheoptimaldesignofatypicalstrip-woundtoroidalcorewidelyemployedinbuildingamagneticcircuitofatransformer,variousswitchingcircuits,etc.Theresultsshowoutstandingindicationsintermsofminimisationofpowerlossandcostofbuildingmaterialwithrespecttoconventionalmethods.

ArticleOutline

1.Introduction

2.Thegeneticalgorithmmethod

3.Overviewoftoroids

4.Fitnessfunction

5.Optimisingthetoroidalcore

6.Resultsanddiscussion

7.Conclusion

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657

UrbanManagement:

Concepts,Principles,TechniquesandEducation  OriginalResearchArticle

Cities,Volume18,Issue5,October2001,Pages331-345

B.K.Chakrabarty

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Abstract

Thepaperoutlinesthelimitationsofconventionalpracticeforresource-efficientandequitablesolutionsofurbanproblemsinthecontextofurbandynamicsanduncertainties,andtheneedforanintegratedmanagementapproach.Itpresentsaconceptofintegratedurbanmanagementbasedonmanagementtheoryandasystemsapproach,andarguesthatmanyprinciplesoftraditionalmanagement–suchastheprinciplesofproductivity,socialresponsivenessandflexibility–areequallyapplicabletourbanmanagementinordertoovercometheselimitations.Similarly,manytechniquesoftraditionalmanagement–suchasmanagementscience,operationsresearch（OR）andcomputer-aideddesign（CAD）–arealsoapplicableinurbanmanagementatvarioussystemlevels,inordertoachieveefficiencyandequityintheurbanizationanddevelopmentprocess.Computer-aidedtechniquesforanalysisandoptimizationofurbanbuiltform,andforoptimaldesignanddraftinginurbandevelopment,incorporatingOR,arepresentedasurbanplanningandmanagementtoolstoimproveproductivityandequityinurbanoperations.BasicfeaturesofthesoftwareCAUBandHudCAD,andtheirapplication,areillustratedwithexamples.Theneedforeducationinurbanmanagement,tofacilitateapplicationofsuchprinciplesandmanagementtechniquesandtosolveurbanproblemsinaresource-efficientmannerwhilefulfillingtheneedsofmultiple-stakeholders,isstressed.

ArticleOutline

1.Introduction

2.Conventionalpractice–limitationsandneedforanintegratedmanagementapproach

2.1.Urbanplanning,developmentcontrol,efficiencyandequityinurbanization

3.Managementtheoryandaconceptofintegratedurbanmanagement

4.Applicabilityoftraditionalmanagementprinciplesinurbanmanagement:

policyimplications

4.1.Planningfunctioninurbanmanagement–principlesofflexibility

4.2.Principleofsocialresponsiveness

4.3.Principleofproductivity

5.Utilityoftraditionalmanagementtechniquestoimproveproductivityandsocialresponsiveness

6.Atechniqueforanalysis/optimizationofurbanbuiltformtofacilitateflexibility

6.1.Buildingriseanddensity

6.2.Optimizingurbanbuilt-form

6.3.Transferofdevelopmentrightsandsocialresponsiveness

7.Anoperationsresearchandcomputeraideddesigntechniquetoimproveproductivityinurbandevelopment

7.1.Modelsforoptimaldesigninurbandevelopment

7.2.Computer-aidedoptimaldesignanddraftinginurbandevelopment-software

7.3.Applicationofthesoftware

8.Urbanmanagementeducationandresearch

9.Conclusion

Acknowledgements

AppendixA.InputsandoutputsrelatedtoFig.4.

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658

Superpipelinedhigh-performanceoptical-flowcomputationarchitecture  OriginalResearchArticle

ComputerVisionandImageUnderstanding,Volume112,Issue3,December2008,Pages262-273

JavierDíaz,EduardoRos,RodrigoAgís,JoseLuisBernier

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Abstract

Optical-flowcomputationisawell-knowntechniqueandthereareimportantfieldsinwhichtheapplicationofthisvisualmodalitycommandshighinterest.Nevertheless,mostreal-worldapplicationsrequirereal-timeprocessing,anissuewhichhasonlyrecentlybeenaddressed.Mostreal-timesystemsdescribedtodateusebasicmodelswhichlimittheirapplicabilitytogenerictasks,especiallywhenfastmotionispresentedorwhensubpixelmotionresolutionisrequired.Therefore,insteadofimplementingacomplexoptical-flowapproach,wedescribehereaveryhigh-frame-rateoptical-flowprocessingsystem.Recentadvancesinimagesensortechnologymakeitpossiblenowadaystousehigh-frame-ratesensorstoproperlysamplefastmotion（i.e.asalow-motionscene）,whichmakesagradient-basedapproachoneofthebestoptionsintermsofaccuracyandconsumptionofresourcesforanyreal-timeimplementation.Takingadvantageoftheregulardataflowofthiskindofalgorithm,ourapproachimplementsanovelsuperpipelined,fullyparallelizedarchitectureforoptical-flowprocessing.Thesystemisfullyworkingandisorganizedintomorethan70pipelinestages,whichachieveadatathroughputofonepixelperclockcycle.ThiscomputingschemeiswellsuitedtoFPGAtechnologyandVLSIimplementation.ThedevelopedcustomizedDSParchitectureiscapableofprocessingupto170framespersecondataresolutionof800 × 600pixels.Wediscusstheadvantagesofhigh-frame-rateprocessingandjustifytheoptical-flowmodelchosenfortheimplementation.Weanalyzethisarchitecture,measurethesystemresourcerequirementsusingFPGAdevicesandfinallyevaluatethesystem’sperformanceandcompareitwithotherapproachesdescribedintheliterature.

ArticleOutline

1.Introduction

2.Descriptionofthemodel

2.1.High-frame-ratesystemmotivation

2.2.Targetapplications

3.Hardwarearchitecture

3.1.Coarse-pipelinedoptical-flowarchitecture

3.2.Fromcoarsetosuperpipelinearchitecture

3.3.Bit-widthoptimization

3.4.Systemresourcesandperformance

3.5.Performancecomparisonwithotherapproaches

4.Conclusions

Acknowledgements

AppendixA.TheL&Kmodelandadoptedimprovements

AppendixB.First-orderGradientmodellimitationanalysis

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IntravascularUltrasoundRegistration/IntegrationwithCoronaryAngiography  ReviewArticle

CardiologyClinics,Volume27,Issue3,August2009,Pages531-540

NicoBruining,SebastiaandeWinter,PatrickW.Serruys

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Toexploitfullytheimagingdataderivedfrombothangiographyandintravascularultrasound（IVUS）,combinedvisualizationisneeded.Althoughthisvisualizationhasbeenavailableintheresearchenvironmentforthelastdecadeorso,clinicalimplementationisstillpending.Recentimprovementsincomputerhardwareandsoftware（algorithms）,improvedangiographyandIVUStechnologies,andatotaldigitalimagingworkflowcouldbringintegratedIVUS/angiographyimagingintothecatheterlaboratoryinthenearfuture.

660

AdaptingWave-frontAlgorithmstoEfficientlyUtilizeSystemswithDeepCommunicationHierarchies  OriginalResearchArticle

ParallelComputing,InPress,AcceptedManuscript,Availableonline3March2011

DarrenJ.Kerbyson,MichaelLang,ScottPakin

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Researchhighlights

►Wedevelopanovelimplementationofwavefrontalgorithmsforhybridsupercomputers.►Theuseofslowcommunicationsisreducedbutatthecostofincreasedcomputesteps.►Thetradeoffisexploredformanysystemconfigurationsusingaperformancemodel.►AnimplementationonthepetascaleRoadrunnersystemdemonstratesa27%improvement.

661

Apparentsoilelectricalconductivitymeasurementsinagriculture  OriginalResearchArticle

ComputersandElectronicsinAgriculture,Volume46,Issues1-3,March2005,Pages11-43

D.L.Corwin,S.M.Lesch

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Abstract

Thefield-scaleapplicationofapparentsoilelectricalconductivity（ECa）toagriculturehasitsorigininthemeasurementofsoilsalinity,whichisanarid-zoneproblemassociatedwithirrigatedagriculturallandandwithareashavingshallowwatertables.Apparentsoilelectricalconductivityisinfluencedbyacombinationofphysico-chemicalpropertiesincludingsolublesalts,claycontentandmineralogy,soilwatercontent,bulkdensity,organicmatter,andsoiltemperature;consequently,measurementsofECahavebeenusedatfi