It exploits state of the art agent mobility capabilities easing task management.docx

It exploits state of the art agent mobility capabilities easing task management.docx

《It exploits state of the art agent mobility capabilities easing task management.docx》由会员分享，可在线阅读，更多相关《It exploits state of the art agent mobility capabilities easing task management.docx（33页珍藏版）》请在冰豆网上搜索。

Itexploitsstateoftheartagentmobilitycapabilitieseasingtaskmanagement

Carmanufacturersandtheirsuppliersareusuallygeographicallydispersed,heterogeneouscharactersofvariousresources.Tosolvetheresourcesharinganddatasecurityproblemsinvehiclecollaborativedesignenvironment,gridtechnologyandComputerSupportedCollaborativeWork（CSCW）technologyareintegrated.ThispaperproposesacollaborativedesignsystemforvehiclecrashsafetydesignbasedongridtechnologythatisconformedtotheOGSAframework,andexplainshowthegridmiddlewareVEGAcontributestomakecollaborationmoreefficiently.WebservicesaboutthefunctionsinthiscollaborativesystemarerealizedbasedonVEGA.DesignprinciplesandmethodsbasedontheFEanalysistoolLS-DYNAarealsopresented.Finally,atestbedisbuiltbasedonLANandacaseofacarmakercollaboratingwithaseatsupplierispresented.

ArticleOutline

1.Introduction

2.Applicationscenario

3.Architectureofgridsystem

3.1.Gridmiddleware

3.2.Architecture

4.Servicesforcrashsafetydesignofvehicleproject

4.1.Servicedescription

4.2.Keyservices

4.2.1.TheParAssembleservice

4.2.2.TheGetPartResultsservice

5.Thetrustrelationshipamongpartners

6.Applicationandcasestudy

6.1.Testbed

6.2.Performanceofthecase

6.3.Portal

7.Conclusionandexpectation

Acknowledgements

References

Purchase

$31.50

111

Multipleunitprocessingusingsub-andsupercriticalfluids  OriginalResearchArticle

TheJournalofSupercriticalFluids,Volume47,Issue3,January2009,Pages598-610

JerryW.King,KeerthiSrinivas

 Closepreview  |  Relatedarticles  |  Relatedreferenceworkarticles    

AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Thepasttwentyyearshasseenanexpansionofthe“criticalfluid”technologyplatformwithrespecttousingorcombiningmultipletypesofunitoperationsandcompressedfluidsinboththeirsub-andsupercriticalstates.Althoughsupercriticalfluidextraction（SFE）utilizingsupercriticalcarbondioxide（SC-CO2）hasseenconsiderableindustrialuse,thehighcapitalizationcostofbuildingandrunningsuchproductionplantspromotesexpandingtheiruseandfunctionalitywithrespecttomulti-unitoperationsandmultiplefluids.Anevaluationofthecurrentstatusofimplementingsuchanapproachisprovided,andaperspectiveoffutureneedssuggestedbasedontheseniorauthor’s40yearsofexperienceincriticalfluidprocessingofagriculturally-derivedmaterialsandnaturalproducts.Theuseofhotcompressedwaterisnolongerlimitedtojustsupercriticalwaterprocessing,butcanbeadvantageouslyexploitedoverawiderangeoftemperaturesandappropriatepressurestoincludeextractionandreactionoftargetedsubstrates,includingbioactivenaturalproducts,biomassconversionforrenewablefuels,andsynthesisofchemicals.Asnotedpreviously,combiningSFEwithfractionationmethodsusingcriticalfluids,and/orreactionchemistryincriticalfluidmediacanproduceavarietyofextractsorproducts[J.W.King,Sub-andsupercriticalfluidprocessingofagrimaterials:

extraction,fractionationandreactionmodes,in:

E.Kiran,P.G.Debenedetti,C.J.Peters（Eds.）,SupercriticalFluids:

FundamentalsandApplications,KluwerPublishers,Dordrecht,TheNetherlands,2000,pp.451–488.]howeverthemodificationofprocessingequipmentsuchasexpellers,extruders,andparticleproductiondevicesextendtheuseofthecriticalfluidtechnologyplatform.Sequentialunitprocessingusingmultiplefluidsalsohasbeenreportedalthoughdemonstratedtoalimiteddegree—howevercombiningbothcompressedCO2andwaterinaunitprocesscanalsoimpartsomeuniqueprocessingpossibilities.Theconceptofmultipleunitandfluidprocessingsupportsanenvironmentallybenignor“green”productionplatformandisconsistentwithprocessingsustainablematerials.Integrationofcriticalfluidsintoexistingprocessingconceptssuchasbiomassconversion,biorefineries,andsynthesisbasedonmethylesterintermediatesarediscussed.

ArticleOutline

1.Introduction

2.Multiplecriticalfluidprocessingplatforms

3.Multipleunitprocessing:

conceptsandpossibilities

4.Examplesofintegratedcriticalfluidprocessing

5.Concludingremarks

Acknowledgements

References

Purchase

$39.95

Graphicalabstract

Thepasttwentyyearshasseenanexpansionofthe“criticalfluid”technologyplatformwithrespecttousingorcombiningmultipletypesofunitoperationsandcompressedfluidsinboththeirsub-andsupercriticalstates.Althoughsupercriticalfluidextraction（SFE）utilizingsupercriticalcarbondioxide（SC-CO2）hasseenconsiderableindustrialuse,thehighcapitalizationcostofbuildingandrunningsuchproductionplantspromotesexpandingtheiruseandfunctionalitywithrespecttomulti-unitoperationsandmultiplefluids.Anevaluationofthecurrentstatusofimplementingsuchanapproachisprovided,includingsystemsbasedonpressurizedliquidfluids,andaperspectiveoffutureneedsinthisareaarediscussed.

112

ExtranetUseandBuildingRelationshipCapitalinInterfirmDistributionNetworks:

TheRoleofExtranetCapability  OriginalResearchArticle

JournalofRetailing,InPress,CorrectedProof,Availableonline23October2010

SamuelA.SprallsIII,ShelbyD.Hunt,JamesB.Wilcox

 Closepreview  |  Relatedarticles  |  Relatedreferenceworkarticles    

AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Firmsareturningtowarde-businesstechnologiestoincreaseefficiencyandeffectivenessand,thereby,acquirecompetitiveadvantage.Wefocusoninterfirmdistributionnetworks（IDNs）connectedbyextranets.OurthesisisthatIDNsbehavelikealliances.Assuch,thenetworkleaderintheIDNmayhaveanorganizationalcapabilityrelatedtodevelopingandmanagingIDNs.Thisextranetcapabilityispositedtopositivelyinfluencethreerelationshipcapitalresources（trust,informationexchange,andcommunicationquality）,which,inturn,influencepositivelyfivenetworkperformanceoutputs（responsiveness,financialperformance,efficiency,effectiveness,andinnovativeness）.Basedondatafrom175newcarsalesmanagers,empiricaltestsofthehypothesesprovidesupportforthepositedexplanationofIDNperformance.

ArticleOutline

Background

Modeldevelopment

Extranetcapability

Extranetcapabilityhypotheses

Effectsofrelationshipcapitalresources

Method

Samplecharacteristics

Measures

Results

Hypothesistesting

Discussion

Implications

Limitationsandfutureresearch

Acknowledgements

AppendixA.Confirmatoryfactoranalysisa

References

Purchase

$31.50

Graphicalabstract

Researchhighlights

Thefollowingpointsareascertainedfromthisstudy:

Someinterfirmdistributionnetworks（IDNs）performbetterthanothers.

SuccessfulnetworkleadershaveacapabilityfordevelopingandmanagingIDNs.

Extranetcapabilityistheabilitytocreate,manage,andevolvesuccessfulIDNs.

Extranetcapabilityincreasesrelationalresourcestherebyaddingpartnervalue.

ExtranetcapabilityisanessentialcapabilityfornetworkleadersandIDNsuccess.

113

SNAP:

ADSStoanalyzenetworkservicepricingforstatenetworks  

DecisionSupportSystems,Volume50,Issue1,December2010,Pages347-359

JongsawasChongwatpol,RameshSharda

 Closepreview  |  Relatedarticles  |  Relatedreferenceworkarticles    

AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

Thisstudydescribestheimplementationofaspreadsheet-orientedDecisionSupportSystem（DSS）thathelpsinmakingtelecommunicationspricingdecisions.Thesystem,SNAP-DSSorServiceNetworkApplicationandPricing（SNAP）-basedDSS,isdevelopedusingMicrosoftExcel2007thatalsoincorporatesVBAprogramminglanguage.WepresentthisresearchwithinthecontextofOneNet,anon-profitstatetelecommunicationsserviceagency.TheSNAP-DSSofferstheabilitytoselecttheratecardoptionsthatbestfitthepreferredpricingstrategiesbyprovidingareal-time,user-friendly,graphicaluserinterface.TheDSSnotonlycapturestheeffectofchangesinthepricingfactorsoneachratecardoption,butalsoallowstheusertoanalyzevariousratecardoptionsindifferentscenariosusingdifferentparameters.ThepaperincludessomelessonslearnedfortheDSScommunity.

ArticleOutline

1.Introduction

2.Briefliteraturereview

2.1.Telecommunicationspricingmodels

2.2.DecisionSupportSystems（DSS）

3.OneNet'sdecisionproblem

3.1.Theproblem

4.SNAP-DSSimplementation

4.1.StateNet,TheQuilt,andstatenetworkorganizations

4.2.SNAP-DSS'soverallsystemarchitecture

4.2.1.Datainput

4.2.2.Modelparameters

4.2.3.Dataoutput

4.3.Theproposedratecardoptions

4.3.1.Option1:

Individualcost-basedrate

4.3.2.Option2:

Linearregression-basedpricing

4.3.3.Option3:

Non-linearregression-basedpricing

4.3.4.Option4:

Twelve-tierbandwidth-basedrate

4.3.5.Option7:

Individualusage-basedpricingoption1

4.3.6.Option9:

Six-tierguaranteedbandwidth-basedrate

4.3.7.Option10:

Theaverageratefromallnineproposedrates

5.Managerialanalysesofratecardoptions

5.1.Changesinbandwidthscalingfactorsandgroupweightingfactors

5.2.Baselinerevenueanalysis

5.3.Cost–revenueanalysis

6.UseofSNAP-DSSatOneNet

7.Systemevaluationandfeedback

8.DSS—Lessonslearnedandconclusions

AppendixA.Datainputworksheetonvarioustypesofexpenditures

AppendixB.DatainputworksheetonLastMileforindividualclients

AppendixC.Baselinecost–revenueanalysis

References

Vitae

Purchas