Search results for "NOISE"

showing 10 items of 1375 documents

Brain Modulation by Electric Currents in Fibromyalgia: A Structured Review on Non-invasive Approach With Transcranial Electrical Stimulation

2018

Fibromyalgia syndrome (FMS) is a complex disorder where widespread musculoskeletal pain is associated with many heterogenous symptoms ranging from affective disturbances to cognitive dysfunction and central fatigue. FMS is currently underdiagnosed and often very poorly responsive to pharmacological treatment. Pathophysiology of the disease remains still obscure even if in the last years fine structural and functional cerebral abnormalities have been identified, principally by neurophysiological and imaging studies delineating disfunctions in pain perception, processing and control systems. On such basis, recently, neurostimulation of brain areas involved in mechanism of pain processing and …

non-invasive brain stimulation (NIBS) transcranial electrical stimulation (tES) fibromyalgia (FM) tDCS — transcranial direct current stimulation tRNS (transcranial random noise stimulation)medicine.medical_treatmentStimulationReview050105 experimental psychologylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicinefibromyalgia (FM)Fibromyalgiamedicine0501 psychology and cognitive sciencestranscranial electrical stimulation (tES)Neurostimulationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological Psychiatrybusiness.industry05 social sciencesCognitionNeurophysiologymedicine.diseasetRNS (transcranial random noise stimulation)Dorsolateral prefrontal cortexSettore MED/16 - ReumatologiaPsychiatry and Mental healthNeuropsychology and Physiological Psychologymedicine.anatomical_structureNeurologytDCS — transcranial direct current stimulationBrain stimulationSettore MED/26 - NeurologiaPrimary motor cortexbusinessnon-invasive brain stimulation (NIBS)Neuroscience030217 neurology & neurosurgeryNeuroscienceFrontiers in Human Neuroscience
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Probabilistic characterization of nonlinear systems under parametric Poisson white noise via complex fractional moments

2014

nonlinear systems Poisson white noise fractional moments
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Predicting tire/pavement noise impact reduction using numerical simulation and experimental data for open graded asphalt mixture

2013

The environmental impact of noise from roads and highways traffic is relevant in urban and rural areas. The use of open-graded asphalt pavements reduces significantly the noise, entrapping the acoustic waves inside the porous structure of the material. In this paper we propose a simulation approach in order to predict the acoustic properties of the asphalt mixture from geometrical and topological indicators. In detail we have generated, using a Random Sequential Adsorption model, synthetic samples starting from the same grading and bitumen contents of real samples manufactured in laboratory. We have measured the acoustic adsorption coefficient of the real samples and we have investigated th…

open graded asphalt mixture tire/pavement noise absorption coefficient random sequential adsorption noise reductionSettore ICAR/04 - Strade Ferrovie Ed Aeroporti
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Gradient and Lipschitz Estimates for Tug-of-War Type Games

2021

We define a random step size tug-of-war game and show that the gradient of a value function exists almost everywhere. We also prove that the gradients of value functions are uniformly bounded and converge weakly to the gradient of the corresponding $p$-harmonic function. Moreover, we establish an improved Lipschitz estimate when boundary values are close to a plane. Such estimates are known to play a key role in the higher regularity theory of partial differential equations. The proofs are based on cancellation and coupling methods as well as an improved version of the cylinder walk argument. peerReviewed

osittaisdifferentiaaliyhtälöt91A15 35B65 35J92gradient regularityApplied MathematicsTug of warMathematical analysisstochastic two player zero-sum gameType (model theory)Lipschitz continuityComputational MathematicsMathematics - Analysis of PDEsLipschitz estimateBellman equationtug-of-war with noiseFOS: MathematicsUniform boundednesspeliteoriaAlmost everywherep-LaplaceValue (mathematics)AnalysisAnalysis of PDEs (math.AP)Mathematicsstokastiset prosessit
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The effect of noise, a constant background, and bit depth on the phase retrieval of pure phase objects

2021

Acknowledgements – The authors are supported by the postdoctoral project (1.1.1.2/16/I/001; 1.1.1.2/ VIAA/1/16/199, State Education Development Agency, Republic of Latvia).

phase retrievalNoiseComputer scienceAcousticsphase problemColor depthPhase (waves)diffraction:NATURAL SCIENCES::Physics [Research Subject Categories]Constant (mathematics)Phase retrievalAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials
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BIE-based aeroacoustic design procedure

2009

A propeller low noise design procedure based on boundary integral equation is presented. The aerodynamic field is computed via a potential-based boundary element method for lifting body while the aeroacoustic emitted field is calculated on the basis of the Ffowcs Williams-Hawkings equation. Families of airfoils sections are aerodynamically processed to select the ones that meet the requested performance. Successively, the airfoil sections characterized by the lowest noise emission, among the previously selected ones, are chosen to built the propeller blade. Eventually the whole propeller aeroacoustic performances are analyzed. A propeller low noise design procedure based on boundary integra…

propeller designSettore ING-IND/06 - Fluidodinamicapropeller noiseboundary element method
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Enhancing Metastability by Dissipation and Driving in an Asymmetric Bistable Quantum System.

2018

The stabilizing effect of quantum fluctuations on the escape process and the relaxation dynamics from a quantum metastable state are investigated. Specifically, the quantum dynamics of a multilevel bistable system coupled to a bosonic Ohmic thermal bath in strong dissipation regime is analyzed. The study is performed by a non-perturbative method based on the real-time path integral approach of the Feynman-Vernon influence functional. We consider a strongly asymmetric double well potential with and without a monochromatic external driving, and with an out-of-equilibrium initial condition. In the absence of driving we observe a nonmonotonic behavior of the escape time from the metastable regi…

quantum statistical methodsQuantum dynamicsquantum Zeno dynamicsGeneral Physics and AstronomyDouble-well potentiallcsh:AstrophysicsReview01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmasPhysics and Astronomy (all)functional analytical methodstunnelingMetastability0103 physical scienceslcsh:QB460-466Quantum system010306 general physicslcsh:ScienceQuantum statistical methodQuantum fluctuationQuantum tunnellingPhysicsCondensed matter physicsQuantum noiseFunctional analytical methodQuantum Zeno dynamiclcsh:QC1-999noise enhanced stabilitymetastable potentialdiscrete variable representationOpen systemopen systemsRelaxation (physics)lcsh:Qresonant activationCaldeira-Leggett modellcsh:Physicsquantum systems with finite Hilbert spaceEntropy (Basel, Switzerland)
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Fault diagnosis of induction motors broken rotor bars by pattern recognition based on noise cancelation

2014

Current signal monitoring (CSM) can be used as an effective tool for diagnosing broken rotor bars fault in induction motors. In this paper, fault diagnosis and classification based on artificial neural networks (ANNs) is done in two stages. In the first stage, a filter is designed to remove irrelevant fault components (such as noise) of current signals. The coefficients of the filter are obtained by least square (LS) algorithm. Then by extracting suitable time domain features from filter's output, a neural network is trained for fault classification. The output vector of this network is represented in one of four categories that includes healthy mode, a 5 mm crack on a bar, one broken bar, …

removing irrelevant fault componentsEngineeringArtificial neural networkneural networkRotor (electric)Bar (music)business.industryComputer Science::Neural and Evolutionary ComputationFilter (signal processing)Fault (power engineering)law.inventionNoisefault diagnosis and classificationControl and Systems Engineeringlawfault diagnosis and classification; neural network; removing irrelevant fault components; Stator current signal monitoring; Electrical and Electronic Engineering; Control and Systems EngineeringElectronic engineeringTime domainElectrical and Electronic EngineeringStator current signal monitoringbusinessAlgorithmInduction motor2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)
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Experimental Observation of a Large Low-Frequency Band Gap in a Polymer Waveguide

2018

The quest for large and low-frequency band gaps is one of the principal objectives pursued in a number of engineering applications, ranging from noise absorption to vibration control, and to seismic wave abatement. For this purpose, a plethora of complex architectures (including multiphase materials) and multiphysics approaches have been proposed in the past, often involving difficulties in their practical realization. To address the issue of proposing a material design that enables large band gaps using a simple configuration, in this study we propose an easy-to-manufacture design able to open large, low-frequency complete Lamb band gaps exploiting a suitable arrangement of masses and stif…

scanning laser Doppler vibrometerAbsorption (acoustics)Materials scienceBand gapAcousticsMaterials Science (miscellaneous)Vibration control02 engineering and technologyLow frequencyLamb band gaplcsh:Technology01 natural sciencesNoise (electronics)finite element simulationsLamb wavesphononic crystals and metamaterials; Lamb band gap; guided waves; finite element simulations; scanning laser Doppler vibrometer0103 physical sciencesCenter frequency010306 general physicsComputingMilieux_MISCELLANEOUS[PHYS]Physics [physics]guided waveslcsh:TIsotropyFinite element simulations; Guided waves; Lamb band gap; Phononic crystals and metamaterials; Scanning laser Doppler vibrometerphononic crystals and metamaterials021001 nanoscience & nanotechnology0210 nano-technology
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SEISMIC NOISE ANALYSIS OF BROADBAND STATIONS OF THE ITALIAN SEISMIC NETWORK, USING POWER SPECTRAL DENSITY

2022

seismic stationSeismic noiseBackground seismic noiseItalian Seismic Network.BroadbandItalian seismic noiseSpatial variation Italian noise
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