Indoor space cooling represents a large potential for solar energy.docx
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Indoor space cooling represents a large potential for solar energy.docx
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Indoorspacecoolingrepresentsalargepotentialforsolarenergy
systemthatlearnstopredictWebuser’sintentionsforvisitingthesiteaswellitsresourceusage.Predictionsaremadefrominformationknownatthetimeoftheirfirstrequestandlaterfromnavigationalclicks.ForthispurposeweusemachinelearningtechniquesandMarkov-chainmodels.ThesystemusesthesepredictionstoautomaticallyshapeQoSforthemostprofitablesessions,predictshort-termresourceneeds,anddynamicallyprovisionserversaccordingtotheexpectedrevenueandthecosttoserveit.WetesttheAUGURESprototypeonaccesslogsfromahigh-traffic,onlinetravelagency,obtainingpromisingresults.
ArticleOutline
1.Introduction
1.1.ThecurrentWebscenario
1.2.Motivation
1.3.Ourmethodology
2.Relatedwork
3.TheAUGURESprototype
3.1.Thepreprocessor:
generatingstaticinformation
3.2.Generatingdynamicinformation
3.3.Learningmodule
4.Resultsandevaluation
4.1.Thedataset
4.2.Quantitiesofinterestinadmissioncontrol
4.3.Classifierperformance
4.4.Performanceinreal-timeprediction
5.Theeffectofdynamicserveractivation
6.Otherpotentialapplications
7.Conclusionsandfuturework
Acknowledgements
References
Vitae
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Bankruptcypredictionwithneurallogicnetworksbymeansofgrammar-guidedgeneticprogramming OriginalResearchArticle
ExpertSystemswithApplications,Volume30,Issue3,April2006,Pages449-461
AthanasiosTsakonas,GeorgeDounias,MichaelDoumpos,ConstantinZopounidis
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Thepaperdemonstratestheefficientuseofhybridintelligentsystemsforsolvingtheclassificationproblemofbankruptcy.Theaimofthestudyistoobtainclassificationschemesabletopredictbusinessfailure.Previousattemptstoformefficientclassifiersforthesameproblemusingintelligentorstatisticaltechniquesarediscussedthroughoutthepaper.Theapplicationofneurallogicnetworksbymeansofgeneticprogrammingisproposed.Thisisanadvantageousapproachenablingtheinterpretationofthenetworkstructurethroughsetofexpertrules,whichisadesirablefeatureforfieldexperts.Theseevolutionaryneurallogicnetworksareconsistedofaninnovativehybridintelligentmethodology,bywhichevolutionaryprogrammingtechniquesareusedforobtainingthebestpossibletopologyofaneurallogicnetwork.Thegeneticprogrammingprocessisguidedusingacontext-freegrammarandindirectencodingoftheneurallogicnetworksintothegeneticprogrammingindividuals.Indicativeclassificationresultsarepresentedanddiscussedindetailintermsofboth,classificationaccuracyandsolutioninterpretability.
ArticleOutline
1.Introduction
1.1.Theproblemofbankruptcyprediction
1.2.Backgroundandliteraturereview
2.Bankruptcydatadescription
3.Methodologicalissues
3.1.Neurallogicnetworks
3.2.AutomaticinterpretationoftheneurallogicnetworksintoPrologexpertrules
3.3.Geneticprogramming
4.Designandimplementationofthehybridintelligentsystem
4.1.Evolutionaryneurallogicnetworks
4.2.Datapreprocessingandsystemconfiguration
5.Resultsanddiscussion
6.Conclusionsandfurtherwork
References
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AnoverviewoftheSeaWiFSprojectandstrategiesforproducingaclimateresearchqualityglobaloceanbio-opticaltimeseries OriginalResearchArticle
DeepSeaResearchPartII:
TopicalStudiesinOceanography,Volume51,Issues1-3,January-February2004,Pages5-42
CharlesR.McClain,GeneC.Feldman,StanfordB.Hooker
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
TheSea-viewingWideField-of-viewSensor(SeaWiFS)ProjectOfficewasformallyinitiatedattheNASAGoddardSpaceFlightCenterin1990.Sevenyearslater,thesensorwaslaunchedbyOrbitalSciencesCorporationunderadata-buycontracttoprovide5yearsofsciencequalitydataforglobaloceanbiogeochemistryresearch.Todate,theSeaWiFSprogramhasgreatlyexceededthemissiongoalsestablishedoveradecadeagointermsofdataquality,dataaccessibilityandusability,oceancommunityinfrastructuredevelopment,costefficiency,andcommunityservice.TheSeaWiFSProjectOfficeanditscollaboratorsinthescientificcommunityhavemadesubstantialcontributionsintheareasofsatellitecalibration,productvalidation,near-realtimedataaccess,fielddatacollection,protocoldevelopment,insituinstrumentationtechnology,operationaldatasystemdevelopment,anddesktoplevel-0tolevel-3processingsoftware.OneimportantaspectoftheSeaWiFSprogramisthehighlevelofsciencecommunitycooperationandparticipation.ThisarticlesummarizesthekeyactivitiesandapproachestheSeaWiFSProjectOfficepursuedtodefine,achieve,andmaintainthemissionobjectives.TheseachievementshaveenabledtheusercommunitytopublishalargeandgrowingvolumeofresearchsuchasthosecontributedtothisspecialvolumeofDeep-SeaResearch.Finally,someexamplesofmajorgeophysicalevents(oceanic,atmospheric,andterrestrial)capturedbySeaWiFSarepresentedtodemonstratetheversatilityofthesensor.
ArticleOutline
1.Introduction
2.Projectphilosophy,functions,andapproaches
2.1.Missionoperationsanddatacapture
2.2.Calibrationandvalidationprogram
2.2.1.SeaWiFSseatruthdataaccuracyconsiderationsandadvancements
2.2.2.Fieldinstrumentdevelopmentandevaluation
2.2.3.TheSeaWiFSprojectfieldprogram
2.3.Dataprocessingsystem
2.3.1.Systemrequirements
2.3.2.Systemdesign
2.3.3.Systemevolution
2.4.Datadistribution
2.5.Outreach
2.6.SeaWiFSreprocessingsanddataqualityimprovements
3.MajorgeophysicaleventscapturedbySeaWiFS
4.Summary
Acknowledgements
References
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Productionofaromavolatilesinresponsetodeficitirrigationandtocroploadinrelationtofruitmaturityfor‘Braeburn’apple OriginalResearchArticle
PostharvestBiologyandTechnology,Volume24,Issue1,January2002,Pages1-11
BussakornS.Mpelasoka,M.HosseinBehboudian
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Aromavolatilesareimportantqualityattributesforapplesandthereisnotenoughinformationonhowtheirproductionisaffectedbydeficitirrigation(DI)orbycropload.Weinvestigatedeffectsofirrigation,cropload,andtheirinteractiononmaturity-relatedqualityattributes(aromavolatiles,totalsolublesolids(TSS),titratableacidity(TA),andfirmness)andmaturityattributes(internalethyleneconcentration,‘percentripeningfruit’,andstarchpatternindex)for‘Braeburn’apple.Multivariaterelationshipsbetweenthesetwosetsofattributeswerealsoexplored.Irrigationtreatmentswerecommerciallyirrigatedcontrol(CI)andDIappliedthroughouttheseason.Croploadtreatmentswerecommercialcropload(CCL)havingsixfruitspercm2oftrunkcross-sectionalareaandlightcropload(LCL)havingfour.Therewasnointeractionbetweenirrigationandcroploadonanyindividualqualityattributes.ControlandDIfruithadsimilarmaturityatharvestbutDIfruitbecamemoreadvancedinmaturityduringstorageat20 °Candaftercoldstorage.DIenhancedvolatileproductionduringripeningandaftercoldstorage.FirmnessandTSSalsoincreasedinDIfruitbuttheincreasedfirmnesswaslostduringsubsequentstorage.FirmnessandTSSincreasedinLCLinsomeoccasionsbutcroploadhadnoeffectonmaturityoraromavolatiles.FruitTAwasnotaffectedbyirrigationorcropload.Aromavolatilespoorlycorrelatedwitheachindividualmaturityattribute.Canonicalcorrelationanalysisshowedhighmultivariatecorrelationbetweenmaturityattributesandmaturity-relatedqualityattributeswithtwounderlyingdimensionsthatcharacterisedtheirrelationships.QualityenhancementinDIfruitwasrelated,inpart,totheadvancementinripening.
ArticleOutline
1.Introduction
2.Materialsandmethods
2.1.Experimentalconditionsandtreatments
2.2.Measurementsofsoilandplantwaterstatus
2.3.Determinationoffruitquality
2.4.Statisticalanalysis
3.Resultsanddiscussion
3.1.Soilandplantwaterstatus
3.2.Fruitmaturityandmaturity-relatedquality
3.3.Relationshipsbetweenmaturityattributesandmaturity-relatedqualityattributes
4.Conclusions
Acknowledgements
References
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PreparationandstructureofHGdP2O7·3H2O OriginalResearchArticle
MaterialsResearchBulletin,Volume36,Issues1-2,January2001,Pages365-373
F.Chehimi-Moumen,D.BenHassen-Chehimi,M.Ferid,M.Trabelsi-Ayadi
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Abstract
SinglecrystalstructureofHGdP2O7·3H2Ohasbeensolved,forthefirsttime,using2344X-rayreflectionswithafinalRvalue:
0.029.Thissaltcrystallizesinthetriclinicsystem;thespacegroupisP
withZ=2andthefollowingunit-celldimensions:
a=6.4585(4)B=6.976
(1)C=9.803
(1)Åα=98.48
(1)β=99.439(8)γ=88.388(9)°V=430.93(9)Å3TheatomicarrangementofHGdP2O7·3H2OisbuiltbypairsofHP2O73-anionsinterconnectedbystronghydrogenbondsandlocatedaroundtheinversioncenterat(0,0,1/2).ThecohesionbetweentheseentitiesisprovidedbyGdO8polyhedra.
ArticleOutline
1.Introduction
2.Exp
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