The algorithm satisfactorily deals with nonlinear mathematical modelsWord格式.docx

The algorithm satisfactorily deals with nonlinear mathematical modelsWord格式.docx

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Aheightenedawarenessofthefundamentalbehavioralscienceprinciplesunderlyinghumaninteractionscanbetranslateddirectlyintoservicedesign.Serviceencounterdesigncanbeapproachedwiththesamedepthandrigorfoundingoodsproduction.Serviceencounterscanbedesignedtoenhancethecustomer’sexperienceduringtheprocessandtheirrecollectionoftheprocessafteritiscompleted.ThispapersummarizesthekeyconceptsfromapaneldiscussionattheDSINationalMeetinginOrlandoinNovember2000.Thepanelbroughttogetheranumberofleadingacademicresearcherstoinvestigatecurrentresearchquestionsrelatingtothehumansideofthedesign,developmentanddeploymentofnewservicetechnologies.Humanissuesfromthecustomerandserviceprovidervantageareillustratedandchallengestoresearchersforexploringthisperspectivearepresented.

ArticleOutline

1.Introduction

2.Applyingbehavioralsciencetoserviceencounters

2.1.Frameworksforapplyingbehavioralsciencetoserviceencounters

2.1.1.Flowoftheserviceexperience

2.1.2.Flowoftime

2.1.3.Counterfactualreasoninginevaluatingserviceperformance

2.1.4.Compendiumofbehavioralprinciples

2.2.Researchquestionsforapplyingbehavioralsciencetoencounters

3.Customers’emotionalresponsestoserviceencounters:

delightandoutrage

3.1.Frameworksforcustomers’emotionalresponses:

3.1.1.Aneeds-basedframework

3.1.1.1.Security

3.1.1.2.Fairness

3.1.1.3.Esteem

3.2.Researchquestionsforcustomers’emotionalresponses:

delightandoutrage

4.Linkingtheserviceorganizationandthecustomer:

customerscripting

4.1.Frameworksforcustomerscripting

4.2.Researchquestionsforcustomerscripting

5.Linkingthecontactpersonnelandthecustomer:

employeerole

5.1.Frameworksfortheemployeerole

5.2.Researchquestionsfortheemployeerole

6.Linkingtheserviceorganizationandthecontactpersonnel:

mysteryshopping

6.1.Frameworksformysteryshopping

6.2.Researchareasformysteryshopping

7.Conclusions

References

Vitae

Purchase

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Numericalmodelfortwo-boltedjointssubjectedtocompressiveloading 

FiniteElementsinAnalysisandDesign,Volume44,Issue4,February2008,Pages162-173

JamelChakhari,AlainDaidié

ZouhairChaib,JeanGuillot

Thispaperdealswiththedimensioningoftwo-boltedassembliesmadeupfromjointprismaticsubassembliessubjectedtofatiguecompressiveloadscoplanarwiththescrewaxis.Thepresentedstudyiscomplementarytoapreviousstudyrelativetotensionloading[A.Daidie,J.Chakhari,A.Zghal,NumericalmodelforboltedT-stubswithtwoboltrows,Struct.Eng.Mech.26（3）（2007）343–361].However,oneshouldnotethatthetwoloadingcasesarenotsimilarsinceanadditionalinfluentialcornercontactproblemoccursinthecaseofcompressiveloading.Themaindevelopmentinthispaperrelativetothepreviousstudy[A.Daidie,J.Chakhari,A.Zghal,NumericalmodelforboltedT-stubswithtwoboltrows,Struct.Eng.Mech.26（3）（2007）343–361]istakingintoconsiderationthiscomplexcornercontactproblem.Inthisframework,thelocaldeformationbetweenthesubassembliesandthecornerofthesupportingstructureisformulatedandanon-linearexpressionofaconstraineddisplacementisestablished.Moreover,theevolutionofthecontactzoneunderthecompressiveloading,whichisnotsimilarinthecaseoftensionloading,istakenintoconsideration.Consequently,anewextendednumericalmodelforcompressiveloadingisestablishedfromunidirectionalfiniteelementsandvalidatedby3Dfiniteelementsimulations.AnalgorithmwhichupdatesthecontactstiffnessmatrixandsetsoutforcesanddisplacementsateachnodeofthesubassemblyisdevelopedusingClanguageprogram.Finally,astatisticalsoftwaremethodisusedasinthecaseoftensileloading.Itisimportanttonotethatinthecaseofcompressiveloading,thisstatisticalsoftwaremethodisnotonlyusedtoestablishtheeffectofthejointparameters,butalsotoidentifyandtuneupparametersrelativetothecomplexproblemofthecornercontact.

2.Numericalmodel

2.1.Modelling

2.2.Compressedzonestiffness

2.3.Numericalsolutionandmodelprogramming

3.3Dfiniteelementsmodel

4.Experimentalstudy

5.Validationofthenumericalmodelandanalysisofjointparametereffectonboltfatigue

6.Conclusion

AppendixA.FormulationofnodeBY-displacement（Delta）duetocontactwithcircularcorneronthesupport

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Engineeringasoftwaretoolforgenestructurepredictioninhigherorganisms 

InformationandSoftwareTechnology,Volume47,Issue15,December2005,Pages965-978

GordonGremme,VolkerBrendel,MichaelE.Sparks,StefanKurtz

Theresearchareanowcommonlycalled‘bioinformatics’hasbroughttogetherbiologists,computerscientists,statisticians,andscientistsofmanyotherfieldsofexpertisetoworkoncomputationalsolutionstobiologicalproblems.Alargenumberofalgorithmsandsoftwarepackagesarefreelyavailableformanyspecifictasks,suchassequencealignment,molecularphylogenyreconstruction,orproteinstructuredetermination.Rapidlychangingneedsanddemandsondatahandlingcapacitychallengetheapplicationproviderstoconsistentlykeeppace.Inpractice,thishasledtomanyincrementaladvancesandre-writingofcodethatpresenttheusercommunitywithconfusingoptionsandalargeoverheadfromnon-standardizedimplementationsthatneedtobeintegratedintoexistingworkflows.Thissituationgivesmuchscopeforcontributionsbysoftwareengineers.Inthisarticle,wedescribeanexampleofengineeringasoftwaretoolforaspecificbioinformaticstaskknownassplicedalignment.Theproblemwasmotivatedbydisablinglimitationsinanoriginal,adhoc,andyetwidelypopularimplementationbyoneoftheauthors.Thepresentcollaborationhasledtoarobust,highlyversatile,andextensibletool（namedGenomeThreader）thatnotonlyovercomesthelimitationsoftheearlierimplementationbutgreatlyimprovesspaceandtimerequirements.

2.Biologicalbackground

3.Thecomputationalproblem

3.1.Basicnotions

3.2.Thesplicedalignmentproblem

4.Computingoptimalsplicedalignments

5.Theintroncutouttechnique

5.1.Computingmatches

5.2.Chainingthematches

5.3.Thecutoutstep

6.Computingconsensussplicedalignments

7.Implementation

7.1.Multiplesequences

7.2.Enhancedsuffixarrays

7.3.Chaining

7.4.Dynamicprogramming

7.5.Representationofsplicedalignments

7.6.Outputofsplicedalignments

7.7.Incrementalupdates

7.8.Softwaredevelopmenttools

7.9.Teststrategy

8.Preliminaryevaluationandperformancebenchmarks

9.Discussion

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Developmentofafive-axispostprocessorsystemwithanutatinghead 

JournalofMaterialsProcessingTechnology,Volumes187-188,12June2007,Pages60-64

Chen-HuaShe,Chun-ChengChang

ApostprocessorcapableofconvertingthecutterlocationdatatomachinecontroldataisanimportantinterfacebetweentheNCprogrammingdesignandmanufacture.Owingtothefactthatcurrentresearchonmulti-axispostprocessormethodsonlydealswithmachinetoolconfigurationswhoselinearandrotationalmovementsareorthogonal,thisstudyhaspresentedapostprocessoralgorithmforthefive-axismachinetoolwithanutatingheadwhoserotationalaxisisinaninclinedplane.Thenutatingheadhasgreatadvantagesoverotherheadsbecauseithasnomotorsontheheadwherethemotorsforthespindleareonthemachine,andthemotionistransferredtothembyhollowshaftsandgears.Themachinetool'

sform-shapingfunctionmatrixisderivedbasedonthehomogeneouscoordinatetransformationandtheforwardkinematics.TheanalyticalequationofNCdataisobtainedbytheinversekinematicsandtheform-shapingfunctionmatrix.Awindow-basedpostprocessorsystemwrittenbyBorlandC++Builderwasdevelopedaccordingtothepresentedalgorithm.Afive-axismachinetoolwithaC-axisbehindaB-axisnutatingrotaryheadisselectedasanexample.ThroughtheverificationbythecommercialsolidcuttingsoftwareVERICUT®

thefeasibilityoftheproposedpostprocessormethodologyisdemonstrated.

2.Kinematicsmodelingmatrix

3.Postprocessorofthemachinetool

3.1.Form-shapingfunctionmatrix

3.2.DeterminationofNCdatabyinversekinematics

4.Systemimplementationandverification

5.Conclusion

Acknowledgements

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