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Publications associées (71)

The Dynamic Emission Zone in Sandwich Polymer Light-Emitting Electrochemical Cells

Roland Hany, Beat Ruhstaller, Balthasar Bluelle, Matthias Diethelm

In light-emitting electrochemical cells (LECs), the position of the emission zone (EZ) is not predefined via a multilayer architecture design, but governed by a complex motion of electrical and ionic charges. As a result of the evolution of doped charge tr ...

WILEY-V C H VERLAG GMBH2019

Wind Turbine Wakes in Directionally Varying Wind Shears

Fernando Porté Agel, Mahdi Abkar

In the atmospheric boundary layer, the Coriolis force associated with the Earth’s rotation induces a spanwise wind shear in addition to the wall-normal one leading to a continuous change in wind direction with height. The spanwise wind shear in directional ...

2019

Automatic extraction of constraints in manipulation tasks for autonomy and interaction

Ana-Lucia Ureche

Tasks routinely executed by humans involve sequences of actions performed with high dexterity and coordination. Fully specifying these actions such that a robot could replicate the task is often difficult. Furthermore the uncertainties introduced by the us ...

EPFL2018

A multitarget approach to drug discovery inhibiting Mycobacterium tuberculosis PyrG and PanK

Stewart Cole

Mycobacterium tuberculosis, the etiological agent of the infectious disease tuberculosis, kills approximately 1.5 million people annually, while the spread of multidrug-resistant strains is of great global concern. Thus, continuous efforts to identify new ...

2018

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Marc-Oliver Gewaltig

There have been many advances in the field of reinforcement learning in continuous control problems. Usually, these approaches use deep learning with artificial neural networks for approximation of policies and value functions. In addition, there have been ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Illumination Time Dependent Learning in Dye Sensitized Solar Cells

Hoi Nok Tsao

Learning through vision is an essential skill for intelligent machines. In an attempt to implement this highly complex feature at low energy cost, a dye-sensitized solar cell is proposed that learns using illumination time as a cue. Particularly, the devic ...

AMER CHEMICAL SOC2018

Force–displacement response of in-plane loaded unreinforced brick masonry walls: the Critical Diagonal Crack model

Katrin Beyer, Bastian Valentin Wilding

This article introduces an analytical model to compute the monotonic force–displacement response of in-plane loaded unreinforced brick masonry walls accounting for walls failing in shear or ﬂexure. The masonry wall is modelled as elastic in compression wit ...

2017

Automatic Calibration of Ultra Wide Band Tracking Systems Using A Mobile Robot: A Person Localization Case-study

Alcherio Martinoli, Zeynab Talebpour, Alessio Canepa

Ultra Wide Band (UWB) is an emerging technology in the field of indoor localization, mainly due to its high performances in indoor scenarios and relatively easy deployment. However, in complex indoor environments, its positioning accuracy may drastically d ...

Ieee2017

Hard-sphere displacive model of extension twinning in magnesium

Cyril Cayron

A crystallographic displacive model is proposed for the extension twins in magnesium. The atomic displacements are established, and the homogeneous lattice distortion is analytically expressed as a continuous angular-distortive matrix that becomes a shear ...

Elsevier Sci Ltd2017

The effect of multimodal and enriched feedback on SMR-BCI performance

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Objective: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel ( ...

Elsevier2016

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