Publications related to Conductivity measurements of various yttria-stabilized zirconia samples

Topology classification with deep learning to improve real-time event selection at the LHC

We show how an event topology classification based on deep learning could be used to improve the purity of data samples selected in real-time at the Large Hadron Collider. We consider different data representations, on which different kinds of multi-class ...

2019

Sampling at unknown locations, with an application in surface retrieval

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield, Michalina Wanda Pacholska

We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away from t ...

2017

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

In vitro estrogen receptor transactivation assays (ERTAs) are increasingly used to measure the overall estrogenic activity of environmental water samples, which may serve as an indicator of exposure of fish or other aquatic organisms to (xeno)estrogens. An ...

Pergamon-Elsevier Science Ltd2017

New approach to low thermal conductivity of thermal barrier protection with improved mechanical integrity

Heinrich Hofmann, Paul Bowen, Abhishek Tewari

Layered ceramic systems with designed stacks of dense and porous layers were investigated as alternative for thermal barrier protection system (TBPs). This approach gives the possibility to obtain low thermal conductivity with the impact protection of dens ...

Elsevier2016

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

Effect of Heat Current on Magnetization Dynamics in Magnetic Insulators and Nanostructures

Francesco Antonio Vetrò

The term "spin caloritronics" defines a novel branch of spintronics that focuses on the interplay between electron spins with heat currents. In the frame of this research area, this thesis is aimed at investigating the effect of a heat current on magnetiza ...

EPFL2015

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Martin Vetterli, David Gontier

Sampling information using timing is an approach that has received renewed attention in sampling theory. The question is how to map amplitude information into the timing domain. One such encoder, called time encoding machine, was introduced by Lazar and To ...

Elsevier2014

Test Results of ITER Correction Coil Short Samples CCCN1 and CCCN2

Pierluigi Bruzzone

This paper presents the first benchmarking test results of ITER correction coil (CC) conductor short samples CCCN1 and CCCN2. The Chinese first CC conductor short sample CCCN1 was prepared and tested at the Institute of Plasma Physics, Chinese Academy of S ...

American Nuclear Society2012

Robust algorithm for aligning two-dimensional chromatograms

Jeremy Samuel Arey, Jonas Gros, Petros Dimitriou Christidis, Rebecca Rutler, Deedar Nabi

Comprehensive, two-dimensional gas chromatography (GC x GC) chromatogram's typically exhibit run-to-run retention time variability. Chromatogram alignment is often a desirable step prior to further analysis of the data, for example, in studies of environme ...

Amer Chemical Soc2012

Conductivity measurements of various yttria-stabilized zirconia samples

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Topology classification with deep learning to improve real-time event selection at the LHC

Sampling at unknown locations, with an application in surface retrieval

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

New approach to low thermal conductivity of thermal barrier protection with improved mechanical integrity

Shapes from Pixels

Effect of Heat Current on Magnetization Dynamics in Magnetic Insulators and Nanostructures

Random sampling of bandlimited signals on graphs

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Test Results of ITER Correction Coil Short Samples CCCN1 and CCCN2

Robust algorithm for aligning two-dimensional chromatograms

Topology classification with deep learning to improve real-time event selection at the LHC

Sampling at unknown locations, with an application in surface retrieval

Shapes from Pixels

New approach to low thermal conductivity of thermal barrier protection with improved mechanical integrity

Effect-based tools for monitoring estrogenic mixtures: Evaluation of five in vitro bioassays

Effect of Heat Current on Magnetization Dynamics in Magnetic Insulators and Nanostructures

Random sampling of bandlimited signals on graphs

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Robust algorithm for aligning two-dimensional chromatograms

Test Results of ITER Correction Coil Short Samples CCCN1 and CCCN2