简介:TheobjectiveofthisresearchwastoexamineifcertainstrainsofBacillusbacteria,couldsurviveindrypowderproductsandifso,couldthebacteriadegradeorganiccontaminantsinsalinewastewateronaship.Aspartofthestudy,weisolated7domesticatedstrainsnamedNY1,NY2,…,andNY7,thestrainNY6showedtohavethebestperformancefororganicmatterdegradationandcouldsurviveindrypowdermorethan3months.NY6wasidentifiedasBacillusaerius,basedonthemorphologicalandphysic-chemicalproperties.Itsoptimalgrowthconditionswereasfollows:salinitywas2%;temperaturewas37℃;pHwasin6.5-7.0;bestratioofC:N:Pwas100:5:1.ThecapabilityofitsdrypowderforChemicalOxygenDemand(COD)removalwas800mgCOD/ginsynthesizedmarinewastewaterwith2%salinity.Thesporesinthedrypowderwere1.972×108g-1.
简介:Reconfigurabilityoftheelectricalnetworkinashipboardpowersystem(SPS)afteritsfailureiscentraltotherestorationofpowersupplyandimprovessurvivabilityofanSPS.Thenavigationalprocesscreatesasequenceofdifferentoperatingconditions.Thepriorityofsomeloadsdiffersinchangingoperatingconditions.AfteranalyzingcharacteristicsoftypicalSPS,amodelwasdevelopedusedagradeⅢswitchboardandanenvironmentalprioritizingagent(EPA)algorithm.Thisalgorithmwaschosenasitislogicallyandphysicallydecentralizedaswellasmulti-agentoriented.TheEPAalgorithmwasusedtodecideonthedynamicloadpriority,thenitselectedthemeanstobestmeetthemaximumpowersupplyload.Thesimulationresultsshowedthathigherpriorityloadswerethefirsttoberestored.Thesystemsatisfiedallnecessaryconstraints,demonstratingtheeffectivenessandvalidityoftheproposedmethod.
简介:Inthenormaloperationcondition,aconventionalsquare-rootcubatureKalmanfilter(SRCKF)givessufficientlygoodestimationresults.However,ifthemeasurementsarenotreliable,theSRCKFmaygiveinaccurateresultsanddivergesbytime.ThisstudyintroducesanadaptiveSRCKFalgorithmwiththefiltergaincorrectionforthecaseofmeasurementmalfunctions.Byproposingaswitchingcriterion,anoptimalfilterisselectedfromtheadaptiveandconventionalSRCKFaccordingtothemeasurementquality.Asubsystemsoftfaultdetectionalgorithmisbuiltwiththefilterresidual.Utilizingaclearsubsystemfaultcoefficient,thefaultysubsystemisisolatedasaresultofthesystemreconstruction.Inordertoimprovetheperformanceofthemulti-sensorsystem,ahybridfusionalgorithmispresentedbasedontheadaptiveSRCKF.Thestateanderrorcovariancematrixarealsopredictedbythepriorifusionestimates,andareupdatedbythepredictedandestimatedinformationofsubsystems.Theproposedalgorithmswereappliedtothevesseldynamicpositioningsystemsimulation.TheywerecomparedwithnormalSRCKFandlocalestimationweightedfusionalgorithm.ThesimulationresultsshowthatthepresentedadaptiveSRCKFimprovestherobustnessofsubsystemfiltering,andthehybridfusionalgorithmhasthebetterperformance.Thesimulationverifiestheeffectivenessoftheproposedalgorithms.