Publications associées à Temps (physique)

Disruption avoidance and investigation of the H-Mode density limit in ASDEX Upgrade

Alessandro Pau, Federico Alberto Alfredo Felici, Bernhard Sieglin

In recent years a strong effort has been made to investigate disruption avoidance schemes in order to aid the development of integrated operational scenarios for ITER. Within the EUROfusion programme the disruptive H-mode density limit (HDL) has been studi ...

Bristol2024

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Olga Fink, Vinay Sharma, Manav Manav

We propose a physics-informed message-passing graph neural network (GNN) for learning the dynamics of springmass systems. The proposed method embeds the underlying physics directly into the message-passing scheme of the GNN. We compare the new scheme with ...

Research Publishing2023

Localizing Unsynchronized Sensors With Unknown Sources

Ivan Dokmanic, Dalia Salem Hassan Fahmy El Badawy

We propose a method for sensor array self-localization using a set of sources at unknown locations. The sources produce signals whose times of arrival are registered at the sensors. We look at the general case where neither the emission times of the source ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Physics-based control of neoclassical tearing modes on TCV

Olivier Sauter, Federico Alberto Alfredo Felici, Cristian Galperti, Mengdi Kong

This paper presents recent progress in studies of neoclassical tearing modes (NTMs) on TCV, concerning the new physics learned and how this physics contributes to a better real-time (RT) control of NTMs. A simple technique that adds a small (sinusoidal) sw ...

IOP Publishing Ltd2022

Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas, Isik Ilber Sirmatel

City-scale control of urban road traffic poses a challenging problem. Dynamical models based on the macroscopic fundamental diagram (MFD) enable development of model predictive perimeter control methods for large-scale urban networks, representing an advan ...

2021

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Nikolaos Geroliminis, Semin Kwak

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however, makes this prediction a challenging task. Here we propose to use dynamic linear models (DLMs) to a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Time delay lens modelling challenge

Frédéric Courbin, Martin Raoul Robert Millon, Aymeric Alexandre Galan, Vivien François Bonvin, Di Xu

In recent years, breakthroughs in methods and data have enabled gravitational time delays to emerge as a very powerful tool to measure the Hubble constant H-0. However, published state-of-the-art analyses require of order 1 yr of expert investigator time a ...

OXFORD UNIV PRESS2021

Learning multivariate new physics

Raffaele Tito D'Agnolo, Andrea Wulzer

We discuss a method that employs a multilayer perceptron to detect deviations from a reference model in large multivariate datasets. Our data analysis strategy does not rely on any prior assumption on the nature of the deviation. It is designed to be sensi ...

SPRINGER2021

Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy

Anisoara Ionescu, Lena Carcreff, Stéphane Armand

The current lack of adapted performance metrics leads clinicians to focus on what children with cerebral palsy (CP) do in a clinical setting, despite the ongoing debate on whether capacity (what they do at best) adequately reflects performance (what they d ...

MDPI2020

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Temps (physique)

Disruption avoidance and investigation of the H-Mode density limit in ASDEX Upgrade

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Localizing Unsynchronized Sensors With Unknown Sources

Physics-based control of neoclassical tearing modes on TCV

Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Time delay lens modelling challenge

Learning multivariate new physics

Global maps of travel time to healthcare facilities

Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy

Graph Chatbot

Chattez avec Graph Search

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Disruption avoidance and investigation of the H-Mode density limit in ASDEX Upgrade

Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

Physics-based control of neoclassical tearing modes on TCV

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Time delay lens modelling challenge

Learning multivariate new physics

Localizing Unsynchronized Sensors With Unknown Sources

Global maps of travel time to healthcare facilities

Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy