Search results for "programming."

showing 10 items of 3035 documents

Lexical and sublexical units in speech perception.

2009

Saffran, Newport, and Aslin (1996a) found that human infants are sensitive to statistical regularities corresponding to lexical units when hearing an artificial spoken language. Two sorts of segmentation strategies have been proposed to account for this early word-segmentation ability: bracketing strategies, in which infants are assumed to insert boundaries into continuous speech, and clustering strategies, in which infants are assumed to group certain speech sequences together into units (Swingley, 2005). In the present study, we test the predictions of two computational models instantiating each of these strategies i.e., Serial Recurrent Networks: Elman, 1990; and Parser: Perruchet & Vint…

Speech perceptionParsingbusiness.industryCognitive NeuroscienceSpeech recognitionText segmentationExperimental and Cognitive Psychologycomputer.software_genreLexiconSpeech segmentationArtificial Intelligence[SCCO.PSYC]Cognitive science/PsychologyLexicoArtificial intelligenceCluster analysisPsychologybusinesscomputerNatural language processingComputingMilieux_MISCELLANEOUScomputer.programming_languageSpoken languageCognitive science
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Design of the CGAL Spherical Kernel and application to arrangements of circles on a sphere

2009

International audience; This paper presents a CGAL kernel for algorithms manipulating 3D spheres, circles, and circular arcs. The paper makes three contributions. First, the mathematics underlying two non trivial predicates are presented. Second, the design of the kernel concept is developed, and the connexion between the mathematics and this design is established. In particular, we show how two different frameworks can be combined: one for the general setting, and one dedicated to the case where all the objects handled lie on a reference sphere. Finally, an assessment about the efficacy of the \sk\ is made through the calculation of the exact arrangement of circles on a sphere. On average …

SpheresCurved objectsCGALGeneric programming[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]Constructions[ INFO.INFO-MS ] Computer Science [cs]/Mathematical Software [cs.MS]Geometric kernels[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS][ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]RobustnessPredicates[INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS]
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Magnetic resonance imaging of the siliceous skeleton of the demosponge Lubomirskia baicalensis

2005

The skeletal elements (spicules) of the demosponge Lubomirskia baicalensis were analyzed; they are composed of amorphous, non-crystalline silica, and contain in a central axial canal the axial filament which consists of the enzyme silicatein. The axial filament, that orients the spicule in its longitudinal axis exists also in the center of the spines which decorate the spicule. During growth of the sponge, new serially arranged modules which are formed from longitudinally arranged spicule bundles are added at the tip of the branches. X-ray analysis revealed that these serial modules are separated from each other by septate zones (annuli). We describe that the longitudinal bundles of spicule…

SpiculebiologyAnatomyLubomirskia baicalensisbiology.organism_classificationSilicon DioxideSkeleton (computer programming)Magnetic Resonance ImagingModels BiologicalPoriferaRadiographySpongeDemospongeSponge spiculeNuclear magnetic resonanceApex (mollusc)Structural BiologyMicroscopy Electron ScanningAnimalsLongitudinal axisBody PatterningJournal of Structural Biology
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FPGA implementation of Spiking Neural Networks supported by a Software Design Environment

2011

Abstract This paper is focused on the creation of Spiking Neural Networks (SNN) in hardware due to their advantages for certain problem solving and their similarity to biological neural system. One of the main uses of this neural structure is pattern classification. The chosen model for the spiking neuron is the Spike Response Model (SRM). For SNN design and implementation, a software application has been developed to provide easy creation, simulation and automatic generation of the hardware model. VHDL was used for the hardware model. This paper describes the functionality of SNN and the design procedure followed to obtain a working neural system in both software and hardware. Designed VHD…

Spiking neural networkComputer sciencebusiness.industrymedicine.anatomical_structureSoftwareEmbedded systemPattern recognition (psychology)VHDLCode (cryptography)medicineSoftware designSpike (software development)NeuronbusinessField-programmable gate arraycomputercomputer.programming_languageIFAC Proceedings Volumes
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Strengthened splitting methods for computing resolvents

2021

In this work, we develop a systematic framework for computing the resolvent of the sum of two or more monotone operators which only activates each operator in the sum individually. The key tool in the development of this framework is the notion of the “strengthening” of a set-valued operator, which can be viewed as a type of regularisation that preserves computational tractability. After deriving a number of iterative schemes through this framework, we demonstrate their application to best approximation problems, image denoising and elliptic PDEs. FJAA and RC were partially supported by the Ministry of Science, Innovation and Universities of Spain and the European Regional Development Fund …

Splitting algorithmControl and Optimization0211 other engineering and technologies47H05 90C30 65K05Elliptic pdesMonotonic function02 engineering and technology01 natural sciencesMonotone operatorOperator (computer programming)Development (topology)Estadística e Investigación OperativaFOS: Mathematics0101 mathematicsImage denoisingResolventMathematics - Optimization and ControlMathematicsResolvent021103 operations researchApplied Mathematics010102 general mathematicsAlgebraComputational MathematicsMonotone polygonOptimization and Control (math.OC)StrengtheningKey (cryptography)Computational Optimization and Applications
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Linear stability analysis of gas-fluidized beds for the prediction of incipient bubbling conditions

2010

Abstract This work focuses on the development of a novel linear stability criterion for the state of homogeneous fluidization regime, based on a new mathematical model for gas-fluidized beds. The model is developed starting from the well-known particle bed model. A mono-dimensional momentum balance is derived leading to a set of equations which explicitly include voidage-gradient dependent terms (elastic force) for both solid and fluid phases. A fully predictive criterion for the stability of homogeneous fluidization state is here proposed, based on the well-known Wallis’ linear stability analysis. The criterion requires the choice of an appropriate averaging distance, which in the present …

Stability criterionSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciWork (thermodynamics)Gas fluidization Stability criterion Mathematical modellingSettore ING-IND/25 - Impianti ChimiciGeneral Chemical EngineeringGeneral ChemistryState (functional analysis)MechanicsStability (probability)Industrial and Manufacturing EngineeringMATHEMATICAL MODELLINGClosure (computer programming)Control theoryEnvironmental ChemistryParticleSensitivity (control systems)FluidizationGas fluidizationMathematicsLinear stabilityChemical Engineering Journal
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The Shuffle Product: New Research Directions

2015

In this paper we survey some recent researches concerning the shuffle operation that arise both in Formal Languages and in Combinatorics on Words.

Star-free languageComputer scienceProgramming languageComputer Science (all)Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)computer.software_genreIntermixed languageTheoretical Computer ScienceCombinatorics on wordsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYProduct (mathematics)Formal languageShuffle squarecomputerShuffle
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Solving some optimal control problems using the barrier penalty function method

2005

In this paper we present a new approach to solve the two-level optimization problem arising from an approximation by means of the finite element method of optimal control problems governed by unilateral boundary value problems. The minimized functional depends on control variables and state variables x. The latter are the optimal solution of an auxiliary quadratic programming problem, whose parameters depend on u.

State variableMathematical optimizationOptimization problemControl variablePenalty methodBoundary value problemQuadratic programmingOptimal controlFinite element methodMathematics
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A Checklist for Assessing the Methodological Quality of Concurrent tES-fMRI Studies (ContES Checklist): A Consensus Study and Statement

2020

AbstractBackgroundLow intensity transcranial electrical stimulation (tES), including alternating or direct current stimulation (tACS or tDCS), applies weak electrical stimulation to modulate the activity of brain circuits. Integration of tES with concurrent functional magnetic resonance imaging (fMRI) allows for the mapping of neural activity during neuromodulation, supporting causal studies of both brain function and tES effects. Methodological aspects of tES-fMRI studies underpin the results, and reporting them in appropriate detail is required for reproducibility and interpretability. Despite the growing number of published reports, there are no consensus-based checklists for disclosing …

Statement (computer science)International networkmedia_common.quotation_subjectSteering committeeApplied psychologyChecklist030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineQuality (business)PsychologyMethodological qualitycomputer030217 neurology & neurosurgeryDelphiBrain functionmedia_commoncomputer.programming_language
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Voltage Profile Improvement for Soc Son's Low-Voltage Grid with High Penetration of PV Systems by Optimizing the Location of SVC Devices

2018

This paper presents a method that is applied to optimize the placement of Static VAR compensators in a real low-voltage grid in the Vietnamese territory. In this way, the voltage profile of the distribution grid turns to be improved. A heuristic method, the Binary Particle Swarm Optimization, is used to find a solution to this problem within the Matlab environment. A case study that considers a high penetration of rooftop PV systems in a branch of Soc Son distribution grid is implemented to show the efficiency of the optimization method for this specific application.

Static VAr compensators Reactive power Voltage control Renewable energy sources Particle swarm optimization OptimizationComputer sciencebusiness.industry020209 energyPhotovoltaic systemParticle swarm optimization02 engineering and technologyPenetration (firestop)AC powerGridRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'Energia0202 electrical engineering electronic engineering information engineeringElectronic engineeringbusinessMATLABcomputercomputer.programming_languageVoltage2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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