Publications associées à Méthode des moindres carrés

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

Andreas Pautz, Mathieu Hursin, Daniel Jerôme Siefman

This paper describes the application of data assimilation methods to CASMO-5 simulations of a Proteus research reactor experiment. Its focus is a comparison and evaluation of three prominent data assimilation methods: generalized linear least squares, MOCA ...

2017

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

Nicolas Henri Bernard Flammarion, Aymeric Daphnis Kévin Dieuleveut

We consider the optimization of a quadratic objective function whose gradients are only accessible through a stochastic oracle that returns the gradient at any given point plus a zero-mean finite variance random error. We present the first algorithm that a ...

2017

The effect of “objecthood” in the Ebbinghaus illusion

Michael Herzog, Aline Françoise Cretenoud, Einat Rashal

In the Ebbinghaus illusion, observers overestimate the size of a target when it is surrounded by large flakers and compared with a control target surrounded by small flankers. We examined whether “objecthood” – the degree to which an object is a cohesive e ...

2017

Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat v1.3

Alfred Johny Wüest, Damien Bouffard, Robert Vincent Schwefel, Adrien Gaudard, Carl Love Mikael Råman Vinnå, Martin Schmid

This paper presents an improvement of a one-dimensional lake hydrodynamic model (Simstrat) to characterize the vertical thermal structure of deep lakes. Using physically based arguments, we refine the transfer of wind energy to basin-scale internal waves ( ...

Copernicus Gesellschaft Mbh2017

Generalized Incremental Model Identification for Chemical Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Diogo Filipe Mateus Rodrigues, Adrien Oulevey

Identification of kinetic models and estimation of kinetic parameters in chemical reaction systems can be done using Incremental Model Identification (IMI). By using IMI, it is possible to separate the effect of the different reactions and thus investigate ...

2017

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Xin Liu, Hanjie Pan, Feng Xue, Jiaqi Liu

Recently, the type of compound regularizers has become a popular choice for signal reconstruction. The estimation quality is generally sensitive to the values of multiple regularization parameters. In this work, based on BDF algorithm, we develop a data-dr ...

Ieee2017

Fault Detection and Faulted Line Identification in Active Distribution Networks Using Synchrophasors-based Real-Time State Estimation

Mario Paolone, Paolo Romano, Marco Pignati, Lorenzo Zanni

We intend to prove that PMU-based state estimation processes for active distribution networks exhibit unique time determinism and refresh rate that make them suitable to satisfy the time-critical requirements of protections as well as the accuracy requirem ...

Institute of Electrical and Electronics Engineers2017

Extending Urban Air Quality Maps Beyond the Coverage of a Mobile Sensor Network: Data Sources, Methods, and Performance Evaluation

Alcherio Martinoli, Ali Marjovi, Adrian Arfire

Targeting the problem of generating high-resolution air quality maps for cities, we leverage four different sources of data: (i) in-situ air quality measurements produced by our mobile sensor network deployed on public transportation vehicles, (ii) explana ...

2017

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Méthode des moindres carrés

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

Robust Distributed Estimation by Networked Agents

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

The effect of “objecthood” in the Ebbinghaus illusion

Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat v1.3

A Functional Framework for Enhanced Ultrasound Imaging

Generalized Incremental Model Identification for Chemical Reaction Systems

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Fault Detection and Faulted Line Identification in Active Distribution Networks Using Synchrophasors-based Real-Time State Estimation

Extending Urban Air Quality Maps Beyond the Coverage of a Mobile Sensor Network: Data Sources, Methods, and Performance Evaluation

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Chattez avec Graph Search

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat v1.3

Fault Detection and Faulted Line Identification in Active Distribution Networks Using Synchrophasors-based Real-Time State Estimation

The effect of “objecthood” in the Ebbinghaus illusion

A Functional Framework for Enhanced Ultrasound Imaging

Generalized Incremental Model Identification for Chemical Reaction Systems

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

Robust Distributed Estimation by Networked Agents

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Extending Urban Air Quality Maps Beyond the Coverage of a Mobile Sensor Network: Data Sources, Methods, and Performance Evaluation