Concept

Ingénierie dirigée par les modèles

Publications associées (132)

Use of high-order sensitivity analysis and reduced-form modeling to quantify uncertainty in particulate matter simulations in the presence of uncertain emissions rates: A case study in Houston

Regional air quality models are widely used to evaluate control strategy effectiveness. As such, it is important to understand the accuracy of model simulations to establish confidence in model performance and to guide further model development. Particulat ...

Elsevier Ltd2015

Moving Brain-Controlled Devices Outside the Lab: Principles and Applications

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil, Serafeim Perdikis

This chapter provides an overview of the functionality and the underlying principles of the brain-computer interfaces (BCI) developed by the Chair in Non-Invasive Brain-Machine Interface (CNBI) of the Swiss Federal Institute of Technology (EPFL), as well a ...

Springer Netherlands2015

Interpretation of Continuous-Time Autoregressive Processes as Random Exponential Splines

Michaël Unser, Julien René Pierre Fageot, John Paul Ward

We consider the class of continuous-time autoregressive (CAR) processes driven by (possibly non-Gaussian) Lévy white noises. When the excitation is an impulsive noise, also known as compound Poisson noise, the associated CAR process is a random non-uniform ...

IEEE2015

Evaluation of characteristic parameters for high performance hall cells

Maher Kayal, Jean-Michel Sallese, Maria-Alexandra Paun

The current work focuses on presenting specific Hall cells with high performance, and their corresponding parameters. The design, integration, measurements and model development for their performance assessment are necessary stages considered in the genera ...

Elsevier Sci Ltd2014

Discrete stochastic heat equation driven by fractional noise

Kamran Kalbasi

We consider the parabolic Anderson model on

\mathbb{Z}^d

driven by fractional noise. We prove that it has a mild solution given by Feynman-Kac representation which coincides with the partition function of a directed polymer in a fractional Brownian envir ...

EPFL2014

Impact du degre de supervision sur l'adaptation a un domaine d'un modele de langage a partir du Web

Petr Motlicek, John David Scott Dines

Domain adaptation of a language model aims at re-estimating word sequence probabilities in order to better match the peculiarities of a given broad topic of interest. To achieve this task, a common strategy consists in retrieving adaptation texts from the ...

ATALA/AFCP2012

Impact du degre de supervision sur l'adaptation a un domaine d'un modele de langage a partir du Web

Petr Motlicek, John David Scott Dines

Idiap2012

From Business Services to IT Services by Capturing Design Decisions

Claude Petitpierre, Alain Wegmann

The main goals of any service-oriented design include flexible support and adaptability of business services and improved business-IT alignment. The existing approaches, however, have failed to fully meet these goals. One of the major reasons for this defi ...

2012

A total fatigue life model for the prediction of the R-ratio effects on fatigue crack growth of adhesively-bonded pultruded GFRP DCB joints

Thomas Keller, Anastasios Vassilopoulos, Moslem Shahverdi

A new phenomenological fatigue crack growth formulation for the modeling and the prediction of the Model fatigue behavior of adhesively-bonded pultruded glass fiber-reinforced polymer double cantilever beam joints under different R-ratios is introduced. Th ...

Elsevier2012

A Practical Technique for Accurately Modeling reconfigurable Lumped Components in Commercial Full-Wave Solvers [EurAAP Corner]

Julien Perruisseau-Carrier, Mohsen Yousefbeiki

A practical approach for accurately modeling reconfigurable lumped components, such as semiconductor diodes or micro-electromechanical systems (MEMS), in commercial full-wave solvers is presented. First, an equivalent-circuit model is extracted from a cali ...

Institute of Electrical and Electronics Engineers2012

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Discrete stochastic heat equation driven by fractional noise

Kamran Kalbasi

We consider the parabolic Anderson model on

\mathbb{Z}^d

EPFL2014