Search results for "DECOMPOSITION"

showing 10 items of 766 documents

An Interactive Framework for Offline Data-Driven Multiobjective Optimization

2020

We propose a framework for solving offline data-driven multiobjective optimization problems in an interactive manner. No new data becomes available when solving offline problems. We fit surrogate models to the data to enable optimization, which introduces uncertainty. The framework incorporates preference information from a decision maker in two aspects to direct the solution process. Firstly, the decision maker can guide the optimization by providing preferences for objectives. Secondly, the framework features a novel technique for the decision maker to also express preferences related to maximum acceptable uncertainty in the solutions as preferred ranges of uncertainty. In this way, the d…

050101 languages & linguisticsDecision support systemMathematical optimizationOptimization problemdecision supportComputer scienceEvolutionary algorithmGaussian processespäätöksentukijärjestelmät02 engineering and technologyMulti-objective optimizationdecision makingData-driven0202 electrical engineering electronic engineering information engineeringmetamodelling0501 psychology and cognitive sciencessurrogateInteractive visualization05 social sciencesgaussiset prosessitmonitavoiteoptimointiMetamodelingKriging020201 artificial intelligence & image processingdecomposition-based MOEAkriging-menetelmäCognitive load
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Photochemical mineralization of terrigenous DOC to dissolved inorganic carbon in ocean

2018

When terrigenous dissolved organic carbon (tDOC) rich in chromophoric dissolved organic matter (tCDOM) enters the ocean, solar radiation mineralizes it partially into dissolved inorganic carbon (DIC). This study addresses the amount and the rates of DIC photoproduction from tDOC and the area of ocean required to photomineralize tDOC. We collected water samples from 10 major rivers, mixed them with artificial seawater, and irradiated them with simulated solar radiation to measure DIC photoproduction and the photobleaching of tCDOM. The linear relationship between DIC photoproduction and tCDOM photobleaching was used to estimate the amount of photoproduced DIC from the tCDOM fluxes of the stu…

1171 Geosciencesliuennut orgaaninen hiilihiiliHUMIC LAKEATLANTIC BIGHTAMAZON RIVER PLUMEDOCMICROBIAL DECOMPOSITIONLIGHT-ABSORPTIONoceanGLOBAL OCEANAPPARENT QUANTUM YIELDWORLD RIVERSNATURAL ORGANIC-MATTERCDOMvalokemiaCOASTAL OCEANmeret1172 Environmental sciencesjoet
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Dehn surgeries and smooth structures on 3-dimensional transitive Anosov flows.

2020

The present thesis is about Dehn surgeries and smooth structures associated with transitive Anosov flows in dimension three. Anosov flows constitute a very important class of dynamical systems, because of its persistent chaotic behaviour, as well as for its rich interaction with the topology of the ambient space. Even if a lot is known about the dynamical and ergodic properties of these systems, there is not a clear understanding about how to classify its different orbital equivalence classes. Until now, the biggest progress has been done in dimension three, where there is a family of techniques intended for the construction of Anosov flows called surgeries.During the realization of this th…

3-ManifoldsHyperbolic DynamicsDehn surgeriesFlots d' AnosovDynamique hyperboliqueSections de BirkhoffDécompositions en livre ouvert[MATH.MATH-GN] Mathematics [math]/General Topology [math.GN]Chirurgies de DehnOpen book decompositions[MATH.MATH-GN]Mathematics [math]/General Topology [math.GN]Anosov flowsBirkhoff sections3-Variétés
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From Feynman–Kac formulae to numerical stochastic homogenization in electrical impedance tomography

2016

In this paper, we use the theory of symmetric Dirichlet forms to derive Feynman–Kac formulae for the forward problem of electrical impedance tomography with possibly anisotropic, merely measurable conductivities corresponding to different electrode models on bounded Lipschitz domains. Subsequently, we employ these Feynman–Kac formulae to rigorously justify stochastic homogenization in the case of a stochastic boundary value problem arising from an inverse anomaly detection problem. Motivated by this theoretical result, we prove an estimate for the speed of convergence of the projected mean-square displacement of the underlying process which may serve as the theoretical foundation for the de…

65C05Statistics and Probability65N21stochastic homogenizationquantitative convergence result01 natural sciencesHomogenization (chemistry)78M40general reflecting diffusion process010104 statistics & probabilitysymbols.namesakeFeynman–Kac formula60J4535Q60Applied mathematicsFeynman diagramBoundary value problemSkorohod decomposition0101 mathematicsElectrical impedance tomographyBrownian motionMathematicsrandom conductivity field65N75010102 general mathematicsFeynman–Kac formulaLipschitz continuityBounded functionstochastic forward problemsymbols60J55Statistics Probability and Uncertainty60H30electrical impedance tomographyThe Annals of Applied Probability
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Negative thermal expansion in cuprite-type compounds: A combined synchrotron XRPD, EXAFS, and computational study of Cu2O and Ag2O

2006

Cuprite-type oxides (Cu2O and Ag2O) are framework structures composed by two interpenetrated networks of metal-sharing M4O tetrahedra (M = Cu, Ag). Both compounds exhibit a peculiar negative thermal expansion (NTE) behaviour over an extended temperature range (9 240 K for Cu2O, 30-470 K for Ag2O). High-accuracy synchrotron powder diffraction and EXAFS measurements were performed from 10 K up to the decomposition temperature to understand the nature of the NTE effects. The critical comparison of the diffraction and absorption results concerning the temperature dependence of the interatomic distances and of the atomic vibrational parameters proves to be fundamental in defining the local dynam…

ABSORPTION FINE-STRUCTUREPOWDER DIFFRACTIONExtended X-ray absorption fine structureChemistryThermal decompositionCupriteCharge densityGeneral ChemistryAtmospheric temperature rangeCondensed Matter PhysicsThermal expansionCrystallographyChemical bondNegative thermal expansionPhysics::Atomic and Molecular ClustersSCATTERINGRADIATIONGeneral Materials ScienceThermal expansionTEMPERATUREPowder diffractionJournal of Physics and Chemistry of Solids
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Modeling solid waste decomposition.

2004

The hydrolysis rate coefficients of sorted municipal waste were evaluated from the biochemical methane potential tests using non-linear regression. A distributed mathematical model of anaerobic digestion of rich (food) and lean (non-food) solid wastes with greatly different rates of polymer hydrolysis/acidogenesis was developed to describe the balance between the rates of hydrolysis/acidogenesis and methanogenesis. The model was calibrated using previously published experimental data [Biores. Technol. 52 (1995) 245] obtained upon various initial food waste loadings. Simulations of one- and two-stage digestion systems were carried out. The results showed that initial spatial separation of fo…

AcidogenesisEnvironmental EngineeringMunicipal solid wasteTime FactorsWaste managementRenewable Energy Sustainability and the EnvironmentMethanogenesisChemistryHydrolysisBioengineeringGeneral MedicineBiodegradationModels TheoreticalDecompositionMethaneRefuse DisposalFood wasteAnaerobic digestionchemistry.chemical_compoundBacteria AnaerobicRegression AnalysisComputer SimulationWaste Management and DisposalAcidsMethaneBioresource technology
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LOW-RANK APPROXIMATION BASED NON-NEGATIVE MULTI-WAY ARRAY DECOMPOSITION ON EVENT-RELATED POTENTIALS

2014

Non-negative tensor factorization (NTF) has been successfully applied to analyze event-related potentials (ERPs), and shown superiority in terms of capturing multi-domain features. However, the time-frequency representation of ERPs by higher-order tensors are usually large-scale, which prevents the popularity of most tensor factorization algorithms. To overcome this issue, we introduce a non-negative canonical polyadic decomposition (NCPD) based on low-rank approximation (LRA) and hierarchical alternating least square (HALS) techniques. We applied NCPD (LRAHALS and benchmark HALS) and CPD to extract multi-domain features of a visual ERP. The features and components extracted by LRAHALS NCP…

AdultMaleComputer Networks and CommunicationsEmotionsLow-rank approximationEmotional processingEvent-related potentialDecomposition (computer science)Feature (machine learning)HumansRepresentation (mathematics)ta515Mathematicsta113Depressionbusiness.industryGroup (mathematics)ElectroencephalographyPattern recognitionGeneral MedicineMiddle AgedFacial ExpressionAlgebraData Interpretation StatisticalBenchmark (computing)Evoked Potentials VisualFemaleArtificial intelligencebusinessInternational Journal of Neural Systems
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Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG

2013

Non-negative Canonical Polyadic decomposition (NCPD) and non-negative Tucker decomposition (NTD) were compared for extracting the multi-domain feature of visual mismatch negativity (vMMN), a small event-related potential (ERP), for the cognitive research. Since signal-to-noise ratio in vMMN is low, NTD outperformed NCPD. Moreover, we proposed an approach to select the multi-domain feature of an ERP among all extracted features and discussed determination of numbers of extracted components in NCPD and NTD regarding the ERP context.

AdultMaleComputer Networks and CommunicationsFeature extractionEmotionsMismatch negativityContext (language use)Signal-To-Noise RatioSignal-to-noise ratioEvent-related potentialDecomposition (computer science)HumansMathematicsBrain MappingElectronic Data Processingbusiness.industryta111BrainPattern recognitionElectroencephalographyGeneral MedicineMiddle AgedFeature (computer vision)Evoked Potentials VisualFemaleArtificial intelligencebusinessPhotic StimulationTucker decompositionInternational Journal of Neural Systems
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Discovering dynamic task-modulated functional networks with specific spectral modes using MEG.

2019

Efficient neuronal communication between brain regions through oscillatory synchronization at certain frequencies is necessary for cognition. Such synchronized networks are transient and dynamic, established on the timescale of milliseconds in order to support ongoing cognitive operations. However, few studies characterizing dynamic electrophysiological brain networks have simultaneously accounted for temporal non-stationarity, spectral structure, and spatial properties. Here, we propose an analysis framework for characterizing the large-scale phase-coupling network dynamics during task performance using magnetoencephalography (MEG). We exploit the high spatiotemporal resolution of MEG to m…

AdultMaleMovementcanonical polyadic decompositionlcsh:RC321-571Functional connectivitytensor decompositionNeural PathwaysConnectomeHumansaivotutkimuslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryCanonical polyadic decompositionMEGdynamic brain networksQuantitative Biology::Neurons and Cognitionsignaalinkäsittelyfunctional connectivityhermoverkot (biologia)BrainMagnetoencephalographySignal Processing Computer-AssistedMemory Short-TermTensor decompositionFrequency-specific oscillationsFemaleDynamic brain networksNerve NetFacial Recognitionfrequency-specific oscillationsNeuroImage
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Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions

2022

Objective: Respiration disturbs cardiovascular and cerebrovascular controls but its role is not fully elucidated. Methods: Respiration can be classified as a confounder if its observation reduces the strength of the causal relationship from source to target. Respiration is a suppressor if the opposite situation holds. We prove that a confounding/suppression (C/S) test can be accomplished by evaluating the sign of net redundancy/synergy balance in the predictability framework based on multivariate autoregressive modelling. In addition, we suggest that, under the hypothesis of Gaussian processes, the C/S test can be given in the transfer entropy decomposition framework as well. Experimental p…

AdultMalePhysiologyBiomedical EngineeringsynergyBlood Pressurecardiac neural controlYoung Adulthead-up tiltHeart RateHumansArterial PressureAnesthesiaPropofolAgedMultivariate autoregressive modelredundancyRespirationcerebrovascular autoregulationautonomic nervous systemheart rate variabilityMediationtransfer entropyHeartIndexesMiddle Agedsuppressiongeneral anesthesiapredictability decompositionconfoundingCerebrovascular CirculationSettore ING-INF/06 - Bioingegneria Elettronica e Informaticaautonomic nervous system; cardiac neural control; cerebrovascular autoregulation; confounding; general anesthesia; head-up tilt; heart rate variability; Multivariate autoregressive model; predictability decomposition; redundancy; suppression; synergy; transfer entropy;ProtocolsRegulation
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