Publications associées à A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints

Publications associées (23)

Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis

Extensive research has been conducted on fault diagnosis of planetary gearboxes using vibration signals and deep learning (DL) approaches. However, DL-based methods are susceptible to the domain shift problem caused by varying operating conditions of the g ...

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2023

Early decoding of walking tasks with minimal set of EMG channels

Silvestro Micera

Objective. Powered lower-limb prostheses relying on decoding motor intentions from non-invasive sensors, like electromyographic (EMG) signals, can significantly improve the quality of life of amputee subjects. However, the optimal combination of high decod ...

IOP Publishing Ltd2023

Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI

Erick Jorge Canales Rodriguez, Marco Pizzolato

We enable the estimation of the per-axon axial diffusivity from single encoding, strongly diffusion-weighted, pulsed gradient spin echo data. Additionally, we improve the estimation of the per-axon radial diffusivity compared to estimates based on spherica ...

ELSEVIER2023

Influence of outdoor air pollution on European residential ventilative cooling potential

Dusan Licina, Evangelos Belias

Residential ventilative cooling via natural ventilation is influenced by outdoor air pollution. However, relative to climate, outdoor air pollution is not comprehensively considered in determining the ventilative cooling potential of buildings. To assess t ...

ELSEVIER SCIENCE SA2023

Why has the COVID-19 pandemic generated such global interest from the engineering community?

Dusan Licina

WILEY2022

Investigation of Contact Clusters Between Rough Surfaces

Jean-François Molinari, Gianluca Costagliola

We investigate the persistence of micro-contacts between two elastic random rough surfaces by means of a simple model for quasi-static sliding. Contact clusters are calculated with the Boundary Element Method, then surfaces are repeatedly displaced to stud ...

SPRINGER/PLENUM PUBLISHERS2022

Exploring the inner workings of the clove hitch knot

Pedro Miguel Nunes Pereira de Almeida Reis, Tomohiko Sano, Paul Johanns, Paul Grandgeorge

We perform a combined experimental and computational investigation of the clove hitch knot. We develop a physical model for the clove hitch by tying an elastic rod onto a rigid cylinder. In the experiments, we characterize the mechanical performance, geome ...

ELSEVIER2022

Modeling the electrical characteristic of InGaN/GaN blue-violet LED structure under electrical stress

Nicolas Grandjean, Jean-François Carlin, Camille Haller

The role of deep defects and their physical origin in InGaN/GaN LED are still widely investigated and debated, in particular their impact on the electrical and optical characteristics and on the reliability of the device. In this paper we evaluate the elec ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Heat exchange potential of energy tunnels for different internal airflow characteristics

Pascal Turberg

Energy tunnels allow the harvesting of untapped heat at shallow depths in the underground to meet the thermal energy requirements of buildings and infrastructures over large areas. Such heat can derive from two sources: the ground surrounding energy tunnel ...

ELSEVIER2022

A micro-investigation of unsaturated sand in mini-triaxial compression based on micro-CT image analysis

Edward Carlo Giorgio Andò

The mechanical behaviours of unsaturated soils are highly related to the water content and pore water and air distributions. Under the context of climate change, geo-disasters related to soil moisture change attract more and more research attentions. Due t ...

SPRINGER HEIDELBERG2022

A Fast and Scalable Polyatomic Frank-Wolfe Algorithm for the LASSO

Matthieu Martin Jean-André Simeoni, Adrian Thibault Etienne Jarret

We propose a fast and scalable Polyatomic Frank-Wolfe (P-FW) algorithm for the resolution of high-dimensional LASSO regression problems. The latter improves upon traditional Frank-Wolfe methods by considering generalized greedy steps with polyatomic (i.e. ...

IEEE Institute of Electrical and Electronics Engineers2022

Resonance Frequency Dependence Of A1 Lamb Mode On The Pitch Of The Electrode Structure

Luis Guillermo Villanueva Torrijo, Soumya Yandrapalli, Seniz Esra Küçük

Dispersion of A1 Lamb mode near onset frequency is discussed. This mode is close to that used in XBAR devices. The typically used approximation is based on elliptic form of slowness curve and ignoring mode interaction is not valid for widely used materials ...

IEEE2021

Study on Mechanical Performance of Prestressed UHPFRC U-Beam Bridges

Eugen Brühwiler

The forms of U-shaped UHPFRC beams have not been investigated for the highway footbridge. Compared with the traditional section forms, the U-shaped UHPFRC beams can reduce the material consumption under the condition of providing the same bearing capacity. ...

2021

Performance Comparison of Alternating Direction Optimization Methods for Linear-OPF based Real-time Predictive Control

Mario Paolone, Fabrizio Sossan, Rahul Kumar Gupta, Vladimir Sovljanski

The paper contributes to improving the computational performance of controls of distributed energy resources (DERs) in distribution grids for efficient real-time control and short-term scheduling. The considered setting is a distribution grid with heteroge ...

IEEE2021

A machine-learning algorithm correctly classifies cortical evoked potentials from both visual stimulation and electrical stimulation of the optic nerve

Diego Ghezzi, Eleonora Borda, Vivien Gaillet, Elodie Geneviève Zollinger

Objective. Optic nerve's intraneural stimulation is an emerging neuroprosthetic approach to provide artificial vision to totally blind patients. An open question is the possibility to evoke individual non-overlapping phosphenes via selective intraneural op ...

IOP PUBLISHING LTD2021

Emerging perovskite quantum dot solar cells: feasible approaches to boost performance

Ulf Anders Hagfeldt

Lead halide perovskite quantum dots (PQDs), also called perovskite nanocrystals, are considered as one of the most promising classes of photovoltaic materials for solar cells due to their prominent optoelectronic properties and simple preparation technique ...

ROYAL SOC CHEMISTRY2021

Sub-nanosecond Optical Switching Using Chip-Based Soliton Microcombs

Tobias Kippenberg, Junqiu Liu, Maxim Karpov, Arslan Sajid Raja, Anton Lukashchuk

We demonstrate sub-nanosecond wavelength switching, using a chip-based soliton microcomb and a semiconductor optical amplifier-based wavelength selector. 50-Gbps PAM4 transmission is achieved with discrete components and 25-Gbps NRZ with a photonic integra ...

IEEE2020

Learning Graph Influence From Social Interactions

Ali H. Sayed, Virginia Bordignon, Augusto José Rabelo Almeida Santos

In social learning, agents form their opinions or beliefs about certain hypotheses by exchanging local information. This work considers the recent paradigm of weak graphs, where the network is partitioned into sending and receiving components, with the for ...

IEEE2020

Structural condition assessment of reinforced-concrete bridges based on acoustic emission and strain measurements

Eugen Brühwiler, Imane Bayane

A reliable novel monitoring approach is developed to assess the structural condition of reinforced-concrete bridge elements. The approach is based on combining acoustic emission technique and strain gauge measurements, and it is illustrated by a case study ...

2020

Multi-armed Bandits in Action

Farnood Salehi

Making decisions is part and parcel of being human. Among a set of actions, we want to choose the one that has the highest reward. But the uncertainty of the outcome prevents us from always making the right decision. Making decisions under uncertainty can ...

EPFL2020