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Monitoring of large structures for safety issues using Brillouin distributed sensing

Related publications (12)

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Understanding generalization and robustness in modern deep learning

Maksym Andriushchenko

In this thesis, we study two closely related directions: robustness and generalization in modern deep learning. Deep learning models based on empirical risk minimization are known to be often non-robust to small, worst-case perturbations known as adversari ...

EPFL2024

Safe Deep Neural Networks

Kyle Michael Matoba

				The capabilities of deep learning systems have advanced much faster than our ability to understand them. Whilst the gains from deep neural networks (DNNs) are significant, they are accompanied by a growing risk and gravity of a bad outcome. This is tr ...

EPFL2024

Safety risk management in University laboratories

Anastasia Jung

Risk management has become an essential element in the functioning of modern society. Correct risk identification and assessment are undoubtedly crucial to improving overall safety; nevertheless, often, it is accompanied by the wrong selection of correcti ...

EPFL2023

Controlling motion at the nanoscale with light

Mintae Chung

Optical manipulation at the micro- nano-scale is a fascinating topic due to its inherent non-invasive properties and multifaceted applications in various fields such as biology, sensing, micro-fluidics, and micro- nano-robotics. This thesis involves intens ...

EPFL2022

Design and Fabrication of Stretchable Photonic Fibers

Nicola Bartolomei

Optical fibers have reshaped the technological landscape, from optical networks and high-speed data communication to in situ imaging and non-invasive surgery methods. The revolution allowed by these fibers has been made possible by its fabrication method, ...

EPFL2021

Far-Field Subwavelength Acoustic Imaging by Deep Learning

Romain Christophe Rémy Fleury, Bakhtiyar Orazbayev

Seeing and recognizing an object whose size is much smaller than the illumination wavelength is a challenging task for an observer placed in the far field, due to the diffraction limit. Recent advances in near- and far-field microscopy have offered several ...

2020

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation

Seungryong Kim

We present a novel method that estimates confidence map of an initial disparity by making full use of tri-modal input, including matching cost, disparity, and color image through deep networks. The proposed network, termed as Locally Adaptive Fusion Networ ...

IEEE COMPUTER SOC2019

Opto-acoustic coupling and Brillouin phenomena in microstructure optical fibers

Luc Thévenaz, Stella Foaleng Mafang, Duc Minh Nguyen

Like photonic crystals have revolutionized the way of manipulating optical waves at the sub-micron scale, phononic crystals have more recently played similar decisive role for sound waves, or more generally elastic waves. Then, the idea of coupling light a ...

IEEE2012

Fibre Distributed Sensing for a More Secure Society

Luc Thévenaz

Brillouin time-domain analysis in optical fibres is a novel technique making possible a distributed measurement of temperature and strain over long distance and will deeply modify our view about monitoring large structures, such as dams, bridges, tunnels a ...

Wroclaw University of Technology2006

Optical Fibres for a More Secure Society

Luc Thévenaz

The 21th Century COE in Electrical Engineering and Electronics for the Active and Creative World, The University of Tokyo2005