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简介:Anincreasingnumberofcomputersystemsarebeingviewedintermsofautonomousagents.Mostpeoplebelievethatagent-orientedapproachiswellsuitedtodesigningandbuildingcomplexsystems.Yet,todate,littleefforthadbeendevotedtodiscussingtheadvantagesofagent-orientedapproachasamainstreamsoftwareengineeringparadiam.Herebothofthisissuesandtherelationbetweenobject-orientedandagentorientedwillbeargued.Wedescribeanagent-orientedmethodologyandprovideaquotefordesigningaauctionsystem.
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简介:Thispaperpositsthedesirabilityofashifttowardsaholisticapproachoverreductionistapproachesintheunderstandingofcomplexphenomenaencounteredinscienceandengineering.Anargumentbasedonsettheoryisusedtoanalyzethreeexamplesthatillustratetheshortcomingsofthereductionistapproach.Usingthesecasesasmotivationalpoints,aholisticapproachtounderstandcomplexphenomenaisproposed,wherebythehumanbrainactsasatemplatetodoso.Recognizingtheneedtomaintainthetransparencyoftheanalysisprovidedbyreductionism,apromisingcomputationalapproachisofferedbywhichthebrainisusedasatemplateforunderstandingcomplexphenomena.Someofthedetailsofimplementingthisapproacharealsoaddressed.
简介:Anincreasingnumberofcomputersystemsarebeingviewedintermsofautonomousagents.Mostpeoplebelievethatagent-orientedapproachiswellsuitedtodesignandbuildcomplexsystems.Yet.todate,littleefforthadbeendevotedtodiscusstheadvantagesofagent-orientedapproachasamainstreamsoftwareengineeringparadigm.Herebothofthisissuesandtherelationbetweenobject-orientedandagent-orientedwillbeargued.wedescribeanagent-orientedmethodologyandprovideaquotefordesigninganauctionsystem.
简介:Theslowconvergencerateofreinforcementlearningalgorithmslimitstheirwiderapplication.Inengineeringdomains,hierarchicalreinforcementlearningisdevelopedtoperformactionstemporallyaccordingtopriorknowledge.Thissystemcanconvergefastduetoreducedstatespace.Thereisatestofelevatorgroupcontroltoshowthepowerofthenewsystem.Twoconventionalgroupcontrolalgorithmsareadoptedaspriorknowledge.Performanceindicatesthathierarchicalreinforcementlearningcanreducethelearningtimedramatically.
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简介:Asanadvancedprocessdetectiontechnology,electricalimpedancetomography(EIT)haswideapplicationprospectsandadvantagesinmedicalimagingdiagnosis.However,aseriesofissuesneedtobeaddressedbeforeapplyingEITforbedsidemonitoring.Medicaldiagnosisandbedsidemonitoringaredynamicmeasuringprocess,wherethepositionsofmeasuringelectrodesandtheshapeofthedetectedfieldarechangingdynamical.Duetotheinabilitytocopewiththechangeableelectrodepositionsandvariousdynamicfields,existingEITsystemsaremainlyusedforindustrialdetectioninconditionofstaticmeasurementandvisualization.Inthispaper,weinvestigatethedynamicmeasurementandvisualizationofhumanbreastinEITfield,describethedesignofthemeasuringsensorsystem,andexpoundthemeasuringprinciple.Themaincomponentofthehardwaresystemisabuiltinservoelectricalresistancetomographysensorwithcapacitiveslidingrod,whichcanadapttothecrowdofdifferentchestcontourandthechangeofchestshapeinthedynamicprocessofbreathing.Thecorrespondingmeasuringprincipleisextractingallreal-timepositionsofmeasuringelectrodes,thenobtainingthedynamicboundary,finallydividingthedetectionfieldrapidly.Experimentalresultsconfirmedthattheproposedsystemcanobtainreal-timelocationofboundarysensoranddynamicallysolvetheproblemofarbitrary-shapeboundarymeasurement.Theimagingresultsvalidatetheavailabilityofdesignedsensorsystemandtheeffectivenessofthecorrespondingmeasuringprinciple.
简介:Threemajorthreatstooceansecurityandcoastalzonesustainability-globalwarming,thelossofoceanbiodiversity,andpollution-arecombiningtothreatentheecologicalintegrityofourmarineenvironmentandlifesupportsystems.Weputforwardageomatics-basedsystemsengineeringarchitecturetoidentifythelocationandextentofoilspills,therebyimprovingtheecologicalintegrityoftheworld'soceansandhelpingcontingencyplannerstodeterminerequiredassets,personnelandotherresources.Thisreal-time,event-basedandcosteffectiveemergencymanagementdecisionsupportsystemcanaidintheclassification,detection,andmonitoringofoilspillsinthemarineenvironment.ThedevelopedSynthetic-ApertureRadar(SAR)processingandcalibrationtechniquesefficientlymonitorenvironmentalchangesininaccessibleoceanregions,characterizeoilspillscenarios,andhelptoidentifyspillsources.ThesystemisusedtoimproveemergencymanagementintheGulfofMexico,withapplicationtooilspillsarisingfromHurricaneKatrina.
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简介:ThispaperaddressesthesupplychainengineeringanditsapplicationinChina’sretailingindustry.Basedontheapproachesofsystemsengineering,weproposetheconceptofsupplychainengineering,whichappliestheideaofsupplychainmanagementtotheengineeringpracticesthroughtheadvancedinformationandmanagementtechnology,tointegratethesupplychainsystemandoptimizeitsoperations.WethenillustratetheapplicationofthesupplychainengineeringinChina’sretailingindustry.Insuchpractices,wedevelopedthevirtualretailingenterprisemodeandtheFROM-SCMsystem,anddesignedthesalesassistantetc.SuchtheoryandpracticesaresuccessfullyappliedinMeiyijia,whichhastransformedMeiyijiafromatraditionalretailertoamodernserviceenterprise,andtheprofitsareresultedfromtheservicefeesratherthanthetraditionalsurplusbetweenbuyingandsellingprices.NowMeiyijiahasbuiltanecosystemwiththeretailerinthecore,theheadquarterastheserviceplatform.ThesuccessofMeiyijiainrecentyearsshowstheeffectivenessofthesupplychainengineering.
简介:WeputforthDramaTheoryⅡ(DTⅡ)asaformalmultipleparticipantdecisionmakingframeworkthatcanbeusedtosystematicallymodelcomplexsecuritychallenges,andadvancethefieldofSustainableSecuritySystemsEngineering.DTⅡisdefinedasatheoryof'largeworld'pre-gamecommunicationandequilibriumselection.Whilegametheoretictoolshavebeenwidelyappliedtoresolveenvironmentalconflictsandpromoteglobalsecurity,traditionalgametheoryassumesthatdecisionmakers,options,andpreferencesarefixed.Amathematicaltreatmentofkeydramatheoreticconcepts(i.e.positions,intentions,doubtsanddilemmas)isprovided.Thedynamicsofthedramatheoreticprocessarediscussedandtheexpectedequilibriumsetisderived.Thefundamentaltheoremofdramatheoryisprovenandalltheoreticalresultsareappliedtopromotesustainablesecuritysolutions.ItisemphasizedthatDTⅡrepresentsaflexiblesystemsengineeringtechniquetoaddresstime-sensitive,multi-faceted,andcomplexmultipleparticipantnegotiations.