Search results for "rpoS"

showing 10 items of 512 documents

WSN localization scheme based on Received Signal Strength Indicator (RSSI) for ZigBee Networks

2015

International audience; Wireless Sensor Networks (WSNs) have diverse application domains such as smart home, smart care, industrial, etc. We present a WSN system based on the ZigBee technology (IEEE 802.15.4) in Smart Home. In our paper we interest to ZigBee protocol is often used in medical Rehabilitation, which is a relatively new concept involving wireless transmission of data from the sensors attached to a patient to a distant monitoring station. There is no standardized topology managing the current networks, therefore, we will compare and evaluate the performance the mobility of nodes for star topologies in different scenarios to determine which is the most suitable in a typical hospi…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[SPI] Engineering Sciences [physics][INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI]Engineering Sciences [physics][ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][ SPI ] Engineering Sciences [physics]ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS[INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]
researchProduct

Kolmogorov Superposition Theorem and Wavelet Decomposition for Image Compression

2009

International audience; Kolmogorov Superposition Theorem stands that any multivariate function can be decomposed into two types of monovariate functions that are called inner and external functions: each inner function is associated to one dimension and linearly combined to construct a hash-function that associates every point of a multidimensional space to a value of the real interval $[0,1]$. These intermediate values are then associated by external functions to the corresponding value of the multidimensional function. Thanks to the decomposition into monovariate functions, our goal is to apply this decomposition to images and obtain image compression. We propose a new algorithm to decomp…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing010102 general mathematicsMathematical analysisWavelet transform02 engineering and technologyFunction (mathematics)[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSuperposition theorem01 natural sciencesWavelet packet decompositionWavelet[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Dimension (vector space)[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPoint (geometry)0101 mathematics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingImage compressionMathematics
researchProduct

Kolmogorov Superposition Theorem and Its Application to Multivariate Function Decompositions and Image Representation

2008

International audience; In this paper, we present the problem of multivariate function decompositions into sums and compositions of monovariate functions. We recall that such a decomposition exists in the Kolmogorov's superposition theorem, and we present two of the most recent constructive algorithms of these monovariate functions. We first present the algorithm proposed by Sprecher, then the algorithm proposed by Igelnik, and we present several results of decomposition for gray level images. Our goal is to adapt and apply the superposition theorem to image processing, i.e. to decompose an image into simpler functions using Kolmogorov superpositions. We synthetise our observations, before …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologySuperposition theorem01 natural sciences[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0202 electrical engineering electronic engineering information engineeringApplied mathematics0101 mathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsDiscrete mathematicsSignal processingArtificial neural network010102 general mathematicsApproximation algorithmSpline (mathematics)[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Kolmogorov structure function[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingHypercube[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
researchProduct

Nouvelles méthodes de traitement de signaux multidimensionnels par décomposition suivant le théorème de Superposition de Kolmogorov

2010

The processing of multidimensional signal remains difficult when using monodimensional-based methods. Therefore, it is either required to extend monodimensional methods to several dimensions, which is not always possible, or to convert the multidimensional signals into 1D signals. In this case, the priority is to preserve most of the properties of the original signal. In this context, the Kolmogorov Superposition Theorem offers a promising theoretical framework for multidimensional signal conversion. In 1957, Kolmogorov demonstrated that any multivariate function can be written as sums and compositions of monovariate functions.We have focused on the image decomposition according to the supe…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Traitement de signalCompression d'image[SPI.OTHER]Engineering Sciences [physics]/OtherDécomposition de fonctions multivariées[ SPI.OTHER ] Engineering Sciences [physics]/Other[SPI.OTHER] Engineering Sciences [physics]/OtherTransgression progressive d'image[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]No english keywordsThéorème de superposition de Kolmogorov
researchProduct

Performance evaluation of Wireless Sensor Networks based on ZigBee technology in smart home

2013

International audience; Wireless Sensor Networks (WSNs) has diverse application domains such as smart home, smart care, industrial, etc. In this paper, we present a WSN system based on the ZigBee technology (IEEE 802.15.4) in Smart Home. To have a good sensor networks communication implanted in a smart home, studies of operating performance on this network is important. In this work, we investigate the performance of our ZigBee sensor networks. The study of performance is based on measurements of the Received Signal Strength Indicator (RSSI) in different parts of the Home. We will also discuss the impact of electromagnetic noise on the communication performance of a ZigBee Sensor Network in…

[INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-IM] Computer Science [cs]/Medical Imaging[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[SPI.ELEC] Engineering Sciences [physics]/ElectromagnetismComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][ SPI.ELEC ] Engineering Sciences [physics]/Electromagnetism[ INFO.INFO-SY ] Computer Science [cs]/Systems and Control [cs.SY][INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]
researchProduct

Plasma diagnostic tools for ECR ion sources : What can we learn from these experiments for the next generation sources

2019

International audience; The order-of-magnitude performance leaps of ECR ion sources over the past decades result from improvements to the magnetic plasma confinement, increases in the microwave heating frequency, and techniques to stabilize the plasma at high densities. Parallel to the technical development of the ion sources themselves, significant effort has been directed into the development of their plasma diagnostic tools. We review the recent results of Electron Cyclotron Resonance Ion Source (ECRIS) plasma diagnostics highlighting a number of selected examples of plasma density, electron energy distribution, and ion confinement time measurements, obtained mostly with the second-gener…

[PHYS.PHYS.PHYS-ACC-PH]Physics [physics]/Physics [physics]/Accelerator Physics [physics.acc-ph]Solenoidmagnetic fieldshiukkaskiihdyttimetplasmafysiikka7. Clean energy01 natural sciencesbremsstrahlungElectron cyclotron resonance010305 fluids & plasmasIonoptical emission spectroscopySuperposition principleion sourcesPhysics::Plasma Physics0103 physical sciencesInstrumentation010302 applied physicsPhysics[PHYS]Physics [physics]plasma confinementplasma properties and parametersplasma diagnosticssyklotronitplasma heatingPlasmaIon sourceComputational physicsMagnetic fieldPlasma diagnostics
researchProduct

Field-free molecular alignment induced by elliptically polarized laser pulses: Noninvasive three-dimensional characterization

2007

International audience; An investigation of field-free molecular alignment produced by elliptically polarized laser pulses is reported. Experiments are conducted in CO2 at room temperature. A noninvasive all-optical technique, based on the cross defocusing of a probe pulse, is used to measure the alignment along two orthogonal directions which is sufficient to provide a three-dimensional characterization. The field-free molecular alignment produced by a laser of elliptical polarization is in good agreement in terms of amplitude and shape with theoretical predictions. It turns out to be almost equivalent to the superposition of the effects that one would obtain with two individual cross-pola…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]Physics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industryElliptical polarizationLaserPolarization (waves)01 natural sciencesAtomic and Molecular Physics and OpticsSpectral linelaw.invention010309 opticsSuperposition principleOpticsAmplitudelaw0103 physical sciencesAtomic physicsMolecular alignment010306 general physicsbusinessSpectroscopy
researchProduct

Coherent superposition of current flows in an atomtronic quantum interference device

2015

We consider a correlated Bose gas tightly confined into a ring shaped lattice, in the presence of an artificial gauge potential inducing a persistent current through it. A weak link painted on the ring acts as a source of coherent back-scattering for the propagating gas, interfering with the forward scattered current. This system defines an atomic counterpart of the rf-SQUID: the atomtronics quantum interference device (AQUID). The goal of the present study is to corroborate the emergence of an effective two-level system in such a setup and to assess its quality, in terms of its inner resolution and its separation from the rest of the many-body spectrum, across the different physical regime…

[PHYS]Physics [physics]PhysicsMesoscopic physics[PHYS.COND.GAS]Physics [physics]/Condensed Matter [cond-mat]/Quantum Gases [cond-mat.quant-gas]Bose gasBand gapGeneral Physics and AstronomyFOS: Physical sciencesPersistent currentPersistent currentsSuperposition principleAtomtronic quantum interference device; One-dimensional bosons; Persistent currents; Physics and Astronomy (all)Physics and Astronomy (all)Quantum Gases (cond-mat.quant-gas)Quantum mechanicsLattice (order)Qubit:Science::Physics::Atomic physics [DRNTU]AtomtronicsAtomtronic quantum interference deviceOne-dimensional bosons[PHYS.COND]Physics [physics]/Condensed Matter [cond-mat]Condensed Matter - Quantum GasesComputingMilieux_MISCELLANEOUS
researchProduct

Hunger sensation, liking, wanting and food consumption in patients with renal failure under haemodialysis

2012

Meeting Abstract; absent

[SDV.AEN] Life Sciences [q-bio]/Food and NutritionInformationSystems_MODELSANDPRINCIPLESComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATIONComputingMilieux_THECOMPUTINGPROFESSION[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionComputingMilieux_COMPUTERSANDSOCIETYComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
researchProduct

“Once liked – Always liked” or how do we develop odor preferences

2013

key-note talk; absent

[SDV.AEN] Life Sciences [q-bio]/Food and NutritionInformationSystems_MODELSANDPRINCIPLESComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATIONComputingMilieux_THECOMPUTINGPROFESSION[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SCCO.PSYC] Cognitive science/Psychology[SCCO.PSYC]Cognitive science/PsychologyComputingMilieux_COMPUTERSANDSOCIETY[ SCCO.PSYC ] Cognitive science/PsychologyComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
researchProduct