Publications related to Validation of a non-linear reduced hydrodynamic model for curved open-channel flow

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

An improved model for predicting electrical conductance in nanochannels

Philippe Renaud, Arnaud Bertsch, Mojtaba Taghipoor

Nanochannel conductance measurements are commonly performed to characterize nanofluidic devices Theoretical analysis and experimental investigations imply that the nanochannel conductance does not follow the macro-scale models. It is generally accepted tha ...

2015

Linear response to harmonic forcing of the non-parallel Batchelor vortex

François Gallaire, Francesco Viola, Cristobal Manuel Arratia Martinez

The Batchelor vortex1 is a slowly developing asymptotic solution of the flow of a trailing line vortex. This flow has been comprehensively studied in its parallel approximation. In particular, the convective/absolute nature of the instability has been inve ...

2014

Visualization of the internal flow properties and the material exchange interface in an entraining viscous Newtonian gravity current

Christophe Ancey, Belinda Margaret Bates

In order to simulate a simple entraining geophysical flow, a viscous Newtonian gravity current is released from a reservoir by a dam-break and flows along a rigid horizontal bed until it meets a layer of entrainable material of finite depth, identical to t ...

Springer Verlag2014

Towards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals

Nadia Barbara Figueroa Fernandez

This paper proposes a method to assess the overall fatigue of human body movement. First of all, according to previous research regarding localized muscular fatigue, a linear relation is assumed between the mean frequency and the muscular working time when ...

Mdpi Ag2014

Influencing Flow Patterns and Bed Morphology in Open Channels and Rivers by Means of an Air-Bubble Screen

Anton Schleiss, Koen Blanckaert, Violaine Dugué

The ability of a bubble screen to redistribute the flow field and bed morphology in shallow rivers and open channels has been investigated in laboratory experiments. Rising air bubbles generated by a pressurized porous tube situated on the bed induced seco ...

American Society of Civil Engineers2014

Influencing river morphodynamics by means of a bubble screen - application to open-channel bends

Violaine Dugué

Curved reaches and bends are a characteristic feature of rivers and channels. Their morphology is heterogeneous and typically includes a point bar at the inner side of bends, and bend scour at the outer side. Curvature-induced secondary flow, also called s ...

EPFL - LCH2013

Measurements of the pore-scale water flow through snow using Fluorescent Particle Tracking Velocimetry

Michael Lehning, Benjamin Andreas Walter

Fluorescent Particle Tracking Velocimetry (FPTV) measurements of the pore-scale water flow through the pore space of a wet-snow sample are presented to demonstrate the applicability of this measurement technique for snow. For the experiments, ice-cooled wa ...

American Geophysical Union2013

Correlation Estimation from Compressed Images

Pascal Frossard, Vijayaraghavan Thirumalai

This paper addresses the problem of correlation estimation in sets of compressed images. We consider a framework where images are represented under the form of linear measurements due to low complexity sensing or security requirements. We assume that the i ...

Elsevier2013

Hybrid probabilities and error-domain structural identification using ambient vibration monitoring

Ian Smith, Clotaire Michel, James-Alexandre Goulet

For the assessment of structural behaviour, many approaches are available to compare model predictions with measurements. However, few approaches include uncertainties along with dependencies associated with models and observations. In this paper, an error ...

Elsevier2013

Validation of a non-linear reduced hydrodynamic model for curved open-channel flow

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Sparsistency of $\ell_1$-Regularized $M$-Estimators

An improved model for predicting electrical conductance in nanochannels

Linear response to harmonic forcing of the non-parallel Batchelor vortex

Visualization of the internal flow properties and the material exchange interface in an entraining viscous Newtonian gravity current

Towards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals

Influencing Flow Patterns and Bed Morphology in Open Channels and Rivers by Means of an Air-Bubble Screen

Influencing river morphodynamics by means of a bubble screen - application to open-channel bends

Measurements of the pore-scale water flow through snow using Fluorescent Particle Tracking Velocimetry

Correlation Estimation from Compressed Images

Hybrid probabilities and error-domain structural identification using ambient vibration monitoring

Influencing Flow Patterns and Bed Morphology in Open Channels and Rivers by Means of an Air-Bubble Screen

Visualization of the internal flow properties and the material exchange interface in an entraining viscous Newtonian gravity current

Hybrid probabilities and error-domain structural identification using ambient vibration monitoring

Towards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals

Influencing river morphodynamics by means of a bubble screen - application to open-channel bends

Linear response to harmonic forcing of the non-parallel Batchelor vortex

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Measurements of the pore-scale water flow through snow using Fluorescent Particle Tracking Velocimetry

An improved model for predicting electrical conductance in nanochannels

Correlation Estimation from Compressed Images