Search results for "Oise"

showing 10 items of 1967 documents

Suomen kielen oppimisen mahdollisuudet ja työyhteisön tuki puhdistuspalvelualalla: afrikkalaisten maahanmuuttajien käsityksiä ja kokemuksia

2013

This article presents a triple case study of African immigrants’ beliefs about Finnish language learning and support of the work community in the cleaning industry. Cleaning does not require a high language proficiency and it is therefore a typical first job for immigrants, a so-called entrance job. The theoretical framework of the study combines dialogical and sociocultural perspectives on language learning. Learners’ beliefs about work-related affordances and scaffolding are analysed using a dialogical analysis of beliefs. The interviewees’ shared belief is that in spite of their simple duties, cleaning work does provide affordances for learning, e.g. in the form of work-related announcem…

ComputingMilieux_THECOMPUTINGPROFESSIONscaffoldingwork-related language skillssuomi toisena kielenäaffordance
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Discrete-Time Adaptive Hysteresis Filter for Parallel Computing and Recursive Identification of Preisach Model

2018

High-precision motion control systems, for instance deployed for micro- and nano-positioning, often use the smart-material based actuators such as piezoelectric and magnetostrictive stages. Those exhibit inherent hysteresis nonlinearities which are challenging to compensate without precise hysteresis modeling. Even if a suitable hysteresis modeling approach is available, its parameter identification, correspondingly adaptation, at normal operating conditions constitute an essential task for the overall control design. This paper uses the direct recursive identification method for the Preisach hysteresis model and describes the fast parallel-computing discrete-time algorithm for an adaptive …

Condensed Matter::Materials ScienceHysteresisNoiseDiscrete time and continuous timeNoise measurementControl theoryFilter (video)Computer scienceConvergence (routing)Motion controlActuator2018 IEEE Conference on Control Technology and Applications (CCTA)
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Double Bragg Interferometry.

2015

We employ light-induced double Bragg diffraction of delta-kick collimated Bose-Einstein condensates to create three symmetric Mach-Zehnder interferometers. They rely on (i) first-order, (ii) two successive first-order, and (iii) second-order processes which demonstrate the scalability of the corresponding momentum transfer. With respect to devices based on conventional Bragg scattering, these symmetric interferometers double the scale factor and feature a better suppression of noise and systematic uncertainties intrinsic to the diffraction process. Moreover, we utilize these interferometers as tiltmeters for monitoring their inclination with respect to gravity.

Condensed Matter::Quantum GasesDiffractionPhysicsbusiness.industryMomentum transferGeneral Physics and AstronomyBragg's lawScale factor01 natural sciencesNoise (electronics)Collimated light010305 fluids & plasmasInterferometryOptics0103 physical sciencesAstronomical interferometer010306 general physicsbusinessPhysical review letters
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Harmony perception and regularity of spike trains in a simple auditory model

2013

A probabilistic approach for investigating the phenomena of dissonance and consonance in a simple auditory sensory model, composed by two sensory neurons and one interneuron, is presented. We calculated the interneuron’s firing statistics, that is the interspike interval statistics of the spike train at the output of the interneuron, for consonant and dissonant inputs in the presence of additional "noise", representing random signals from other, nearby neurons and from the environment. We find that blurry interspike interval distributions (ISIDs) characterize dissonant accords, while quite regular ISIDs characterize consonant accords. The informational entropy of the non-Markov spike train …

ConsonantInterneuronSpeech recognitionSpike trainmedia_common.quotation_subjectSensory systemConsonance and dissonanceSound perceptionSettore FIS/03 - Fisica Della Materiamedicine.anatomical_structureAuditory system consonant and dissonant accords environmental noise hidden Markov chain informational entropy regularityPerceptionmedicineAuditory systemMathematicsmedia_commonAIP Conference Proceedings
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Spike train statistics for consonant and dissonant musical accords in a simple auditory sensory model

2010

The phenomena of dissonance and consonance in a simple auditory sensory model composed of three neurons are considered. Two of them, here so-called sensory neurons, are driven by noise and subthreshold periodic signals with different ratio of frequencies, and its outputs plus noise are applied synaptically to a third neuron, so-called interneuron. We present a theoretical analysis with a probabilistic approach to investigate the interspike intervals statistics of the spike train generated by the interneuron. We find that tones with frequency ratios that are considered consonant by musicians produce at the third neuron inter-firing intervals statistics densities that are very distinctive fro…

ConsonantNoise in the nervous system; Analytical theories; Sensor auditory systemStochastic ProcessesQuantitative Biology::Neurons and CognitionInterneuronSensory Receptor CellsSpike trainProbabilistic logicSensor auditory systemSensory systemNoise in the nervous systemConsonance and dissonanceModels BiologicalSettore FIS/03 - Fisica Della MateriaNoiseAnalytical theoriemedicine.anatomical_structureNonlinear DynamicsComputer Science::SoundStatisticsmedicineAuditory PerceptionSpike (software development)MathematicsProbability
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Sensitivity analysis of consumption cycles

2018

We study the special case of a nonlinear stochastic consumption model taking the form of a 2-dimensional, non-invertible map with an additive stochastic component. Applying the concept of the stochastic sensitivity function and the related technique of confidence domains, we establish the conditions under which the system's complex consumption attractor is likely to become observable. It is shown that the level of noise intensities beyond which the complex consumption attractor is likely to be observed depends on the weight given to past consumption in an individual's preference adjustment.

Consumption (economics)Applied Mathematics05 social sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsObservable01 natural sciences010305 fluids & plasmasNoiseNonlinear system0502 economics and business0103 physical sciencesAttractorEconometricsSensitivity (control systems)050207 economicsSpecial casePreference (economics)Mathematical PhysicsMathematicsChaos: An Interdisciplinary Journal of Nonlinear Science
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Transitions in consumption behaviors in a peer-driven stochastic consumer network

2019

Abstract We study transition phenomena between attractors occurring in a stochastic network of two consumers. The consumption of each individual is strongly influenced by the past consumption of the other individual, while own consumption experience only plays a marginal role. From a formal point of view we are dealing with a special case of a nonlinear stochastic consumption model taking the form of a 2-dimensional non-invertible map augmented by additive and/or parametric noise. In our investigation of the stochastic transitions we rely on a mixture of analytical and numerical techniques with a central role given to the concept of the stochastic sensitivity function and the related techni…

Consumption (economics)General MathematicsApplied MathematicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsFixed point01 natural sciencesNoise (electronics)010305 fluids & plasmasNonlinear system0103 physical sciencesAttractorStatistical physicsSensitivity (control systems)Special case010301 acousticsMathematicsParametric statisticsChaos, Solitons & Fractals
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Política del ruido. En los límites de la comunicación musical

2016

Este artículo se basa en la idea de cómo la comunicación musical activa no solo elementos musicales sino culturales y sociales. Como práctica social, la música muestra tanto su poder comunicativo como los límites de la comunicación (entendida como un intercambio de mensajes y significados). En este sentido, el ruido se presenta como un factor de disrupción en el circuito semiótico y en las relaciones sociales. La cuestión del ruido se trata como un aspecto liminar del sonido y la música, como puede observarse en diversos ejemplos tomados de la vanguardia (ruidismo) hasta la música popular contemporánea (noise), pasando por géneros musicales particulares como el punk-rock o la música tecno.

Contemporary classical musicruidolcsh:HM401-1281comunicaciónpolíticaGeneral MedicineMusicalSocial practiceSocial relationsonidoPower (social and political)lcsh:Social Scienceslcsh:HNoiselcsh:Sociology (General)AestheticsSociologymúsicamethaodos.revista de ciencias sociales
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Towards a Non-Intrusive Context-Aware Speech Quality Model

2020

Understanding how humans judge perceived speech quality while interacting through Voice over Internet Protocol (VoIP) applications in real-time is essential to build a robust and accurate speech quality prediction model. Speech quality is degraded in the presence of background noise reducing the Quality of Experience (QoE). Speech Enhancement (SE) algorithms can improve speech quality in noisy environments. The publicly available NOIZEUS speech corpus contains speech in environmental background noise babble, car, street, and train at two Signal-to-noise ratio (SNRs) 5dB and 10dB. Objective Speech Quality Metrics (OSQM) are used to monitor and measure speech quality for VoIP applications. Th…

Context modelVoice activity detectionNoise measurementComputer scienceSpeech recognitionMean opinion score020206 networking & telecommunicationsSpeech corpus02 engineering and technology01 natural sciencesBackground noiseSpeech enhancement0103 physical sciences0202 electrical engineering electronic engineering information engineeringQuality of experience010301 acoustics2020 31st Irish Signals and Systems Conference (ISSC)
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Kernels for Remote Sensing Image Classification

2015

Classification of images acquired by airborne and satellite sensors is a very challenging problem. These remotely sensed images usually acquire information from the scene at different wavelengths or spectral channels. The main problems involved are related to the high dimensionality of the data to be classified and the very few existing labeled samples, the diverse noise sources involved in the acquisition process, the intrinsic nonlinearity and non-Gaussianity of the data distribution in feature spaces, and the high computational cost involved to process big data cubes in near real time. The framework of statistical learning in general, and of kernel methods in particular, has gained popul…

Contextual image classificationComputer sciencebusiness.industryBig dataProcess (computing)Image processingcomputer.software_genreKernel methodFeature (computer vision)Remote sensing (archaeology)Data miningNoise (video)businesscomputerRemote sensing
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