Concept

Scale parameter

Related publications (232)

Data-driven reduced order modeling for time-dependent problems

A data-driven reduced basis (RB) method for parametrized time-dependent problems is proposed. This method requires the offline preparation of a database comprising the time history of the full-order solutions at parameter locations. Based on the full-order ...

2018

What-if Analysis with Conflicting Goals: Recommending Data Ranges for Exploration

Thành Tâm Nguyên

What-if analysis is a data-intensive exploration to inspect how changes in a set of input parameters of a model influence some outcomes. It is motivated by a user trying to understand the sensitivity of a model to a certain parameter in order to reach a se ...

IEEE2018

Singlet state formation and its impact on the magnetic structure in the tetramer system SeCuO3

Henrik Moodysson Rønnow, Arnaud Magrez, Ivica Zivkovic, Helmuth Berger, Krunoslav Prsa, Peter Babkevich

We present an experimental investigation of the magnetic structure in a tetramer system SeCuO3 using neutron powder-diffraction and nuclear resonance techniques. We establish a commensurate antiferromagnetic ordering with a propagation vector k = (0, 0, 1) ...

2018

A Design-oriented Charge-based Simplified Model for FDSOI MOSFETs

Christian Enz, Farzan Jazaeri, Alessandro Pezzotta, Louis Hutin

In this paper a design-oriented model for asymmetrical double-gate (ADG) MOSFETs is proposed. Including the back-gate effect into the original simplified EKV bulk model requires only one additional parameter to the existing four, and extends the simplified ...

2018

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

The proliferation of (low-cost) sensors provokes new challenges in data fusion. This is related to the correctness of stochastic characterization that is a prerequisite for optimal estimation of parameters from redundant observations. Different (statistica ...

2017

Optimizing the acceleration and resolution of three-dimensional fat image navigators for high-resolution motion correction at 7T

José Pedro Rebelo Ferreira Marques, Daniel Gallichan

PURPOSE: To investigate the effect of spatial resolution and parallel imaging acceleration factor on the quality of the motion estimates derived from image navigators with a three-dimensional (3D) gradient-recalled echo (GRE) acquisition with fat excitatio ...

Wiley-Blackwell2017

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

Structural estimation for route choice models considering link specificity of measurement error variances

Yuki Oyama

For estimating parameters of discrete choice models, observations corresponding to the models are required. In the context of route choice models, we need the information of paths, which are sequences of links and connect between the origin-destination pa ...

2017

Design and Validation of Diffusion MRI Models of White Matter

Ileana Ozana Jelescu

Diffusion MRI is arguably the method of choice for characterizing white matter microstructure in vivo. Over the typical duration of diffusion encoding, the displacement of water molecules is conveniently on a length scale similar to that of the underlying ...

Frontiers Research Foundation2017

Optimized Wavelet Denoising for Self-Similar alpha-Stable Processes

Michaël Unser, Pedram Pad

We investigate the performance of wavelet shrinkage methods for the denoising of symmetric-a-stable (S alpha S) self-similar stochastic processes corrupted by additive white Gaussian noise (AWGN), where a is tied to the sparsity of the process. The wavelet ...

2017

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