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Publications associées (617)

Two management strategies for improving passenger transfer experience in train stations

Michel Bierlaire, Riccardo Scarinci, Nicholas Alan Molyneaux

Exploiting the full potential of pedestrian infrastructures in order to satisfy the demand induced by public transport modes is key to achieving good level-of-service for passengers during transfers. High temporal variability in demand can lead to high con ...

2018

Sensitivity To Perceived Mutual Understanding In Human-Robot Collaborations

Pierre Dillenbourg, Alexis David Jacq, Ana Paiva

In order to collaborate with humans, robots are often provided with a Theory of Mind (ToM) architecture. Such architectures can be evaluated by humans perception of the robot's adaptations. However, humans sensitivities to these adaptations are not the one ...

ASSOC COMPUTING MACHINERY2018

Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and prediction

Jan Sickmann Hesthaven, Boris Bonev

We present a novel high-order discontinuous Galerkin discretization for the spherical shallow water equations, able to handle wetting/drying and non-conforming, curved meshes in a well-balanced manner. This requires a well-balanced discretization, that can ...

2018

Development of topological tools for the analysis of biological data

There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex data sets. Topological data analysis (TDA) has been used to approach this problem. This recent field of mathematics discerns characteristic features of a space ...

EPFL2018

Dissipation as a resource in circuit quantum electromechanics

László Dániel Tóth

A primary challenge in quantum science and technology is to isolate the fragile quantum states from their environment in order to prevent the irreversible leakage of energy and information which causes decoherence. In the late 1990s, however, a new paradig ...

EPFL2018

Not All Samples Are Created Equal: Deep Learning with Importance Sampling

François Fleuret, Angelos Katharopoulos

Deep neural network training spends most of the computation on examples that are properly handled, and could be ignored. We propose to mitigate this phenomenon with a principled importance sampling scheme that focuses computation on "informative" examples ...

Idiap2018

Transfer of graphene on polymeric foil

Marsha Mary Parmar, Guilhem Edouard Baptiste Noiraud

Since its creation in 2004 [1], graphene has become an important subject in the scientific community. From the Scotch tape method, many techniques have been developed to fabricate and manipulate graphene flakes. This project aims to transfer graphene flake ...

2018

L'événement proxémique : étude des relations de circulation entre piétons aux heures de pointe à Delhi, Los Angeles, Paris et Tokyo

Lucas François Tiphine

In a context of traffic networks saturation related to urbanisation acceleration, this research is aimed at contributing to the scientific debate on this issue by building a model to describe dynamic pedestriansâ physical distances regulation behaviours ...

EPFL2018

Integration of passenger satisfaction in railway timetable rescheduling for major disruptions

Stefan Yves Gabriel Binder

Unexpected disruptions occur for many reasons in railway networks and cause delays, cancellations, and, eventually, passenger inconvenience. This thesis focuses on the railway timetable rescheduling problem from a macroscopic point of view in case of lar ...

EPFL2018

Flexoelectricity in Bones

Dragan Damjanovic

Bones generate electricity under pressure, and this electromechanical behavior is thought to be essential for bone’s self-repair and remodeling properties. The origin of this response is attributed to the piezoelectricity of collagen, which is the main str ...

2018

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