Search results for "optimization"

showing 10 items of 2824 documents

Averaging techniques in the time minimal orbital transfer using low propulsion

2015

International audience

[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]ComputingMilieux_MISCELLANEOUS
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Optimal Control Theory and the Efficiency of the Swimming Mechanism of the Copepod Zooplankton

2017

International audience

[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]ComputingMilieux_MISCELLANEOUS
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Optimal Control Techniques for Sampled-Data Control Systems with Medical Applications

2020

International audience

[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]ComputingMilieux_MISCELLANEOUS
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Recherches d’extréma par des méthodes d’extrapolation

1994

International audience

[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA]ComputingMilieux_MISCELLANEOUS[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Cut-off method for endogeny of recursive tree processes

2016

Given a solution to a recursive distributional equation, a natural (and non-trivial) question is whether the corresponding recursive tree process is endogenous. That is, whether the random environment almost surely defines the tree process. We propose a new method of proving endogeny, which applies to various processes. As explicit examples, we establish endogeny of the random metrics on non-pivotal hierarchical graphs defined by multiplicative cascades and of mean-field optimization problems as the mean-field matching and travelling salesman problems in pseudo-dimension q>1.

[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]endogenyrandom metrics[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Primary 60E05 60B10 60E15. Secondary 81T20 82B44 90C27Probability (math.PR)FOS: Mathematics60E05 60B10 60E15 81T20 82B44 90C27recursive distributional equationsmean-field combinatorial optimization[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - Probability
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The Influence of the feedback control of the hexapod platform of the SAAM dynamic driving simulator on neuromuscular dynamics of the drivers

2012

Multi sensorial cues (visual, auditory, haptic, inertial, vestibular, neuromuscular) [Ang2] play important roles to represent a proper sensation (objectively) and so a perception (subjectively as cognition) in driving simulators. Driving simulator aims at giving the sensation of driving as in a real case. For a similar situation, the driver has to react in the same way as in reality in terms of ‘self motion’. To enable this behavior, the driving simulator must enhance the virtual immersion of the subject in the driving situation. The subject has to perceive the motion of his own body in the virtual scene of the virtual car as he will have in a real car. For that reason, restituting the iner…

[PHYS.MECA.VIBR] Physics [physics]/Mechanics [physics]/Vibrations [physics.class-ph]Base de données [Informatique]Motion cueingModélisation et simulation [Informatique]Mécanique: Vibrations [Sciences de l'ingénieur]optimal controlAutomatique [Informatique]Robotique [Informatique][INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]EMG analysisdynamic driving simulatorsLQR[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]open loop control[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimisation et contrôle [Mathématique]motion sicknessInterface homme-machine [Informatique][SPI.MECA.VIBR] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Vibrations [physics.class-ph]motion cue[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringMotion cueing motion sickness LQR optimal control EMG analysis dynamic driving simulatorsclosed loop control
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Coupled experiment/simulation approach for the design of radiation-hardened rare-earth doped optical fibers and amplifiers

2011

We developed an approach to design radiation-hardened rare earth -doped fibers and amplifiers. This methodology combines testing experiments on these devices with particle swarm optimization (PSO) calculations. The composition of Er/Yb-doped phosphosilicate fibers was improved by introducing Cerium inside their cores. Such composition strongly reduces the amplifier radiation sensitivity, limiting its degradation: we observed a gain decreasing from 19 dB to 18 dB after 50 krad whereas previous studies reported higher degradations up to 0°dB at such doses. PSO calculations, taking only into account the radiation effects on the absorption efficiency around the pump and emission wavelengths, co…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]YtterbiumOptical fiberMaterials scienceAstrophysics::High Energy Astrophysical PhenomenaRadiation effectschemistry.chemical_elementradiation effects optical fibers rare-earth ions amplifiers particle swarm optimization erbium ytterbiumRadiation7. Clean energy01 natural scienceslaw.invention010309 opticsErbiumOpticslaw0103 physical sciencesOptical fibersFiberIrradiationYtterbiumrare-earth ions[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]particle swarm optimization010308 nuclear & particles physicsbusiness.industryAmplifierAttenuationOptique / photoniquePhysics::Classical PhysicschemistryamplifiersbusinessErbium2011 12th European Conference on Radiation and Its Effects on Components and Systems
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Nonlinear sculpturing of optical pulses with normally dispersive fiber-based devices

2018

International audience; We present a general method to determine the parameters of nonlinear pulse shaping systems based on pulse propagation in a normally dispersive fiber that are required to achieve the generation of pulses with various specified temporal properties. The nonlinear shaping process is reduced to a numerical optimization problem over a three-dimensional space, where the intersections of different surfaces provide the means to quickly identify the sets of parameters of interest. We also show that the implementation of a machine-learning strategy can efficiently address the multi-parameter optimization problem being studied.

[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Optimization problemGeneral methodComputer scienceFiber (mathematics)AcousticsProcess (computing)02 engineering and technologynonlinear fiber opticsSpace (mathematics)01 natural sciencesPulse shapingAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsPulse propagation010309 opticsNonlinear system020210 optoelectronics & photonicsmachine learningControl and Systems Engineering0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringInstrumentationNonlinear shaping
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Exploring the diversity of listeria monocytogenes biofilm architecture by high-throughput confocal laser scanning microscopy and the predominance of …

2015

ABSTRACT Listeria monocytogenes is involved in food-borne illness with a high mortality rate. The persistence of the pathogen along the food chain can be associated with its ability to form biofilms on inert surfaces. While most of the phenotypes associated with biofilms are related to their spatial organization, most published data comparing biofilm formation by L. monocytogenes isolates are based on the quantitative crystal violet assay, which does not give access to structural information. Using a high-throughput confocal-imaging approach, the aim of this work was to decipher the structural diversity of biofilms formed by 96 L. monocytogenes strains isolated from various environments. Pr…

[SDV.BIO]Life Sciences [q-bio]/Biotechnology[SDV]Life Sciences [q-bio]chaîne alimentairestrain originmicroscopie confocale à balayage lasermedicine.disease_causeApplied Microbiology and Biotechnologybiofilmchemistry.chemical_compound[ SDV.MP ] Life Sciences [q-bio]/Microbiology and ParasitologyPathogenmorphotypeComputingMilieux_MISCELLANEOUS0303 health sciencesGrowth mediumMicroscopy ConfocalEcologyMicrobiology and ParasitologydescripteurMicrobiologie et Parasitologieenvironnementphénotype[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitologymotilityanalyse quantitativeoptimizationBiotechnologyagent pathogènePseudomonas-aeruginosa biofilm;pathogen;lineage;growth-condition;extracellular DNA;strain origin;quantification;motility;hydrophobicity;optimizationBiotechnologiesBiologyHoneycomb likeMicrobiology03 medical and health sciencesListeria monocytogenesgrowth-conditionConfocal laser scanning microscopymedicineCrystal violetPseudomonas-aeruginosa biofilm030304 developmental biologydiversitéhydrophobicity030306 microbiologyBiofilm[ SDV.BIO ] Life Sciences [q-bio]/Biotechnologybiochemical phenomena metabolism and nutritionExtracellular dnaListeria monocytogenesquantificationHigh-Throughput Screening AssayschemistryBiofilmsFood MicrobiologyMicrobial Interactionslisteria monocytogènesFood Sciencepathogenlineageextracellular DNA
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Toward the development of a remote photoplethysmographic sensor

2019

Heart-rate estimation performed with remote photoplethysmography is a very active research field. Since pioneer works in 2010, which demonstrated the feasibility of the measure with low-grade consumers’ camera (webcam), the number of scientific publications have increased significantly in the domain. Hence, we observe a multiplication of the methods in order to retrieve the photoplethysmographic signal which hasled to an increased precision and quality of the heartrate estimation. Region of interest segmentation is a key step of the processing pipeline in order to maximize the quality of the measured signal. We propose a new method to perform remote photoplethysmographic measurement using a…

[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/ImagingImage processing[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Superpixels segmentation[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingTraitement d’imagesPhotopléthysmographie sans contactRemote photoplethysmographySegmentation en superpixels[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Biomedical engineeringIngénierie biomédicale[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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