Search results for "Applied Mathematics"

showing 10 items of 4379 documents

Upport vector machines for nonlinear kernel ARMA system identification.

2006

Nonlinear system identification based on support vector machines (SVM) has been usually addressed by means of the standard SVM regression (SVR), which can be seen as an implicit nonlinear autoregressive and moving average (ARMA) model in some reproducing kernel Hilbert space (RKHS). The proposal of this letter is twofold. First, the explicit consideration of an ARMA model in an RKHS (SVM-ARMA 2k) is proposed. We show that stating the ARMA equations in an RKHS leads to solving the regularized normal equations in that RKHS, in terms of the autocorrelation and cross correlation of the (nonlinearly) transformed input and output discrete time processes. Second, a general class of SVM-based syste…

Computer Science::Machine LearningStatistics::TheoryComputer Networks and CommunicationsBiomedical signal processingInformation Storage and RetrievalMachine learningcomputer.software_genrePattern Recognition AutomatedStatistics::Machine LearningArtificial IntelligenceApplied mathematicsStatistics::MethodologyAutoregressive–moving-average modelComputer SimulationMathematicsTelecomunicacionesHardware_MEMORYSTRUCTURESSupport vector machinesModels StatisticalNonlinear system identificationbusiness.industryAutocorrelationSystem identificationSignal Processing Computer-AssistedGeneral MedicineComputer Science ApplicationsSupport vector machineNonlinear systemKernelAutoregressive modelNonlinear DynamicsARMA modelling3325 Tecnología de las TelecomunicacionesArtificial intelligenceNeural Networks ComputerbusinesscomputerSoftwareAlgorithmsReproducing kernel Hilbert spaceIEEE transactions on neural networks
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Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/260201 Open Access This paper investigates the finite-time distributed L2-L∞ consensus control problem of multiagent systems with parameter uncertainties. The relative states of neighboring agents are used to construct the control law and some agents know their own states. By substituting the control input into multiagent systems, an augmented closed-loop system is obtained. Then, we analyze its finite-time boundedness (FTB) and finite-time L2-L∞ performance. A sufficient condition for the existence of the designed controller is given with the f…

Computer Science::Multiagent SystemsArticle SubjectApplied Mathematicslcsh:MathematicsAnalysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411AnalysisAbstract and Applied Analysis
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The absolute center of a unicyclic network

1989

Abstract A unicyclic network is one generalization of a tree network. In this paper we examine the problem of finding an absolute center of a unicyclic network. We show that this problem can be solved in linear time with respect to the number of vertices in the network.

Computer Science::RoboticsCombinatoricsMathematics::CombinatoricsAbsolute (philosophy)Computer Science::Discrete MathematicsGeneralizationApplied MathematicsTree networkDiscrete Mathematics and CombinatoricsCenter (algebra and category theory)Time complexityMathematicsDiscrete Applied Mathematics
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Nonholonomic Interpolation for Kinematic Problems, Entropy and Complexity

2008

Here we present the main lines of a theory we developed in a series of previous papers, about the motion planning problem in robotics. We illustrate the theory with a few academic examples.

Computer Science::RoboticsNonholonomic systemMathematical optimizationbusiness.industryApplied mathematicsRoboticsArtificial intelligenceMotion planningKinematicsOrthonormal framebusinessMathematics
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Uniqueness of positive multi-lump bound states of nonlinear Schr�dinger equations

2003

In this paper we are concerned with multi-lump bound states of the nonlinear Schrodinger equation

Computer Science::Roboticssymbols.namesakeNonlinear systemGeneral MathematicsMathematical analysisBound statesymbolsApplied mathematicsUniquenessNonlinear Sciences::Pattern Formation and SolitonsNonlinear Schrödinger equationSchrödinger equationMathematicsMathematische Zeitschrift
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Kernel manifold alignment for domain adaptation

2016

The wealth of sensory data coming from different modalities has opened numerous opportu- nities for data analysis. The data are of increasing volume, complexity and dimensionality, thus calling for new methodological innovations towards multimodal data processing. How- ever, multimodal architectures must rely on models able to adapt to changes in the data dis- tribution. Differences in the density functions can be due to changes in acquisition conditions (pose, illumination), sensors characteristics (number of channels, resolution) or different views (e.g. street level vs. aerial views of a same building). We call these different acquisition modes domains, and refer to the adaptation proble…

Computer and Information SciencesKernel FunctionsInformation Storage and RetrievalSocial Scienceslcsh:Medicine1100 General Agricultural and Biological SciencesResearch and Analysis MethodsInfographicsTopologyPattern Recognition AutomatedKernel MethodsCognitionLearning and MemoryMemory1300 General Biochemistry Genetics and Molecular BiologyImage Interpretation Computer-AssistedData MiningHumansPsychologyLife Science910 Geography & travelOperator TheoryManifoldslcsh:ScienceObject Recognition1000 MultidisciplinaryApplied MathematicsSimulation and ModelingData Visualizationlcsh:RCognitive PsychologyBiology and Life SciencesEigenvaluesFacial ExpressionAlgebra10122 Institute of GeographyLinear AlgebraData Interpretation StatisticalPhysical SciencesCognitive SciencePerceptionlcsh:QEigenvectorsGraphsAlgorithmsMathematicsResearch ArticleNeuroscience
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The community structure of the global corporate network.

2013

We investigate the community structure of the global ownership network of transnational corporations. We find a pronounced organization in communities that cannot be explained by randomness. Despite the global character of this network, communities reflect first of all the geographical location of firms, while the industrial sector plays only a marginal role. We also analyze the network in which the nodes are the communities and the links are obtained by aggregating the links among firms belonging to pairs of communities. We analyze the network centrality of the top 50 communities and we provide the first quantitative assessment of the financial sector role in connecting the global economy.

Computer and Information SciencesPhysics - Physics and SocietyEconomicsEconomic ModelsPopulation DynamicsSocial SciencesSpatial Economic Analysislcsh:MedicineFOS: Physical sciencesGenetics and Molecular Biology1100 General Agricultural and Biological SciencesPhysics and Society (physics.soc-ph)Economic GeographySystems ScienceFOS: Economics and businessDevelopment Economics1300 General Biochemistry Genetics and Molecular BiologyHumansIndustrylcsh:ScienceStructure of Markets1000 MultidisciplinaryGeographyApplied MathematicsPhysicslcsh:RInternational AgenciesIndustrial OrganizationComplex SystemsGeneral MedicineOrganizational Culture10003 Department of Banking and FinanceEconomic Analysis330 EconomicsMathematical EconomicsGeneral BiochemistryPhysical SciencesEarth SciencesInterdisciplinary Physicslcsh:QEconomic DevelopmentGeneral Agricultural and Biological SciencesQuantitative Finance - General FinanceGeneral Finance (q-fin.GN)MathematicsResearch ArticlePloS one
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Systematic Approach for Calculating the Concentrations of Chemical Species in Multiequilibrium Problems: Inclusion of the Ionic Strength Effects

2012

A general systematic approach including ionic strength effects is proposed for the numerical calculation of concentrations of chemical species in multiequilibrium problems. This approach extends the versatility of the approach presented in a previous article and is applied using the Solver option of the Excel spreadsheet to solve real problems such as the calculation of the pH of buffer solutions at any ionic strength. It is useful for undergraduate programs, in post-graduate programs, and in professional laboratories to predict experimental conditions.

Computer based learningScience instructionChemical speciesChemistryIonic strengthComputationComputer softwareApplied mathematicsGeneral ChemistrySolverEducationJournal of Chemical Education
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A new PLC-based smart metering architecture for medium/low voltage grids: Feasibility and experimental characterization

2018

Abstract This paper investigates the feasibility of a smart metering architecture for modern power grids in the smart cities framework. A particular focus is made on Automatic Meter Reading, with the aim of facing some costs and safety drawbacks of current solutions (such as dependence from wireless communication providers, reliability problems in bad weather conditions, and exposition to cyber-attacks). The proposed architecture exploits power line communications (PLC) at both low and medium voltage level, thanks to new devices and an innovative medium voltage PLC coupling system. The new coupling solution and the whole smart metering architecture are experimentally verified in a wide freq…

Computer science020209 energySmart grid02 engineering and technologyPower line communicationReliability (semiconductor)Automatic Meter Reading0202 electrical engineering electronic engineering information engineeringElectronic engineeringWirelessMetering modeElectrical and Electronic EngineeringInstrumentationDistributed measurement systemsbusiness.industryApplied Mathematics020208 electrical & electronic engineeringSmart gridsPower systems communicationCondensed Matter PhysicsDistributed measurement systemPower-line communicationSmart gridSmart meteringbusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheLow voltageAutomatic meter readingVoltageMeasurement
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Automatic estimation of Purkinje-Myocardial junction hot-spots from noisy endocardial samples: A simulation study

2017

The reconstruction of the ventricular cardiac conduction system (CCS) from patient-specific data is a challenging problem. High-resolution imaging techniques have allowed only the segmentation of proximal sections of the CCS from images acquired ex vivo. In this paper, we present an algorithm to estimate the location of a set of Purkinje-myocardial junctions (PMJs) from electro-anatomical maps, as those acquired during radio-frequency ablation procedures. The method requires a mesh representing the myocardium with local activation time measurements on a subset of nodes. We calculate the backwards propagation of the electrical signal from the measurement points to all the points in the mesh …

Computer science0206 medical engineeringBiomedical Engineering02 engineering and technology030204 cardiovascular system & hematologyPurkinje FibersSet (abstract data type)Automation03 medical and health sciences0302 clinical medicineHumansComputer SimulationSegmentationMolecular BiologyCardiac electrophysiologyMyocardiumApplied MathematicsModels Cardiovascular020601 biomedical engineeringAmplitudeComputational Theory and MathematicsModeling and SimulationAlgorithmAlgorithmsSoftwareEndocardiumInternational Journal for Numerical Methods in Biomedical Engineering
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