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Uncertainty Feature Optimization: an implicit paradigm for problems with noisy data

Related publications (43)

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Form-Finding Of Interlaced Space Structures

Yves Weinand, Seyed Sina Nabaei, Olivier Baverel

By Interlaced Space Structures (ISS) we mean a coupled system of naturally curved flexible panels/strips interlaced together according to a design pattern. We are looking for a physically-based and efficient form-finding procedure in order to interactively ...

Int Center Numerical Methods Engineering2014

Form-finding Of Interlaced Space Structures

Yves Weinand, Seyed Sina Nabaei, Olivier Baverel

2014

Rotor Design Optimization for a Reaction Sphere Actuator

Yves Perriard, Leopoldo Rossini

This paper presents the rotor design optimization for a reaction sphere (RS) actuator. The RS is a permanent-magnet synchronous spherical actuator whose rotor is magnetically levitated and can be accelerated about any desired axis. The RS is composed of an ...

Institute of Electrical and Electronics Engineers2014

Statistical analysis of optimal energy and security controls under different sources of uncertainties

Mokhtar Bozorg, Omid Alizadeh Mousavi

The management of uncertainties is a challenging task for reliable and secure operation of power systems. The uncertainties come from multiple sources, including the forecast errors of wind power and load, the forced outage of generating units, loss of tra ...

IEEE2014

Optimization of the network design of a futuristic transport system based on moving walkways

Michel Bierlaire, Riccardo Scarinci

Starting from the assumption of a future where the use of cars will be limited in dense urban areas, and thus streets could be used for innovative transport modes, this project investigates a system based on accelerated moving walkways (AMW). Differently f ...

2014

Energy system design under uncertainty

Matthias Dubuis

The current context leads energy system design to very demanding objectives, due to their variety. Indeed, despite an increasing energy demand, environment indicators are becoming always more important. So that for a given service, emission (and then assoc ...

EPFL2012

Model Adequacy for Real-Time Optimization

Dominique Bonvin

Optimization is important in science and engineering as a way of finding ”optimal” situations, designs or operating conditions. Optimization is typically performed on the basis of a mathematical model of the process under investigation. In practice, optimi ...

2012

Numerical Simulation and Optimization of the Alumina Distribution in an Aluminium Electrolysis Pot

Thomas Hofer

This thesis is about the numerical simulation and optimization of the alumina repartition in the bath of an aluminium electrolysis pot. A mathematical model is set up which contains the feeding of alumina particles to the bath, the dissolution of the parti ...

EPFL2011

Sparse Image Restoration Using Iterated Linear Expansion of Thresholds

Thierry Blu, Hanjie Pan

We focus on image restoration that consists in regularizing a quadratic data-fidelity term with the standard l1 sparse-enforcing norm. We propose a novel algorithmic approach to solve this optimization problem. Our idea amounts to approximating the result ...

2011

A Fast Wavelet-Based Reconstruction Method for Magnetic Resonance Imaging

Michaël Unser, Matthieu Guerquin-Kern

In this work, we exploit the fact that wavelets can represent magnetic resonance images well, with relatively few coefficients. We use this property to improve magnetic resonance imaging (MRI) reconstructions from undersampled data with arbitrary k-space t ...

Institute of Electrical and Electronics Engineers2011