Publications associées à Video-driven simulation of lower limb mechanical loading during aquatic exercises

Publications associées (21)

Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation

We study the problem of minimizing fuel consumption of a heavy-duty truck traveling across the national highway network subject to a hard deadline. We focus on a real-world setting that traversing a road segment is subject to variable speed ranges due to d ...

IEEE Institute of Electrical and Electronics Engineers2023

Cortico-muscular connectivity is modulated by passive and active Lokomat-assisted Gait

Silvestro Micera, Fiorenzo Artoni

The effects of robotic-assisted gait (RAG) training, besides conventional therapy, on neuroplasticity mechanisms and cortical integration in locomotion are still uncertain. To advance our knowledge on the matter, we determined the involvement of motor cort ...

Nature Portfolio2023

Gait Variability to Phenotype Common Orthopedic Gait Impairments Using Wearable Sensors

Wei Zhang

Mobility impairments are a common symptom of age-related degenerative diseases. Gait features can discriminate those with mobility disorders from healthy individuals, yet phenotyping specific pathologies remains challenging. This study aims to identify if ...

MDPI2022

Robust design using multiobjective optimisation and artificial neural networks with application to a heat pump radial compressor

Jürg Alexander Schiffmann, Soheyl Massoudi, Cyril Picard

Although robustness is an important consideration to guarantee the performance of designs under deviation, systems are often engineered by evaluating their performance exclusively at nominal conditions. Robustness is sometimes evaluated a posteriori throug ...

2022

Influence of amount of shear reinforcement and its post-yield response on the shear resistance of reinforced concrete members

Aurelio Muttoni, Miguel Fernández Ruiz, Frédéric Monney

The minimum amount of shear reinforcement to be provided in reinforced concrete members has been a topic of debate and research for decades without reaching a consensus. Defining such values is however instrumental to build in an economic manner and to saf ...

ERNST & SOHN2022

Design of an elastic porous injectable biomaterial for tissue regeneration and volume retention

Nicolas Kunz, Martina Genta

Soft tissue reconstruction currently relies on two main approaches, one involving the implantation of ex-ternal biomaterials and the second one exploiting surgical autologous tissue displacement. While both methods have different advantages and disadvantag ...

ELSEVIER SCI LTD2022

Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities

Jan Sickmann Hesthaven

Highly accurate numerical or physical experiments are often very time-consuming or expensive to obtain. When time or budget restrictions prohibit the generation of additional data, the amount of available samples may be too limited to provide satisfactory ...

ELSEVIER SCIENCE SA2022

Perspectives in machine learning for wildlife conservation

Devis Tuia, Alexander Mathis, Mackenzie Mathis, Benjamin Alexander Kellenberger

Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently distill data into ...

Nature Research2022

Time-resolved detection of phase-coherent biphoton frequency combs from Si3N4 microring

Tobias Kippenberg, Junqiu Liu

We generate a biphoton frequency comb from an integrated 40.4 GHz silicon nitride microring and probe the phase coherence through electro-optic mixing of the frequency bins followed by time-resolved detection of the time-correlation function. (c) 2021 The ...

IEEE2021

Subwavelength Acoustic Imaging in Far Field by Combining Metamaterials and Deep Learning

Romain Christophe Rémy Fleury, Bakhtiyar Orazbayev

In this work, we demonstrate theoretically and experimentally the ability to classify and reconstruct subwavelength acoustic images from far field measurements using a machine learning approach, combined with a locally resonant metamaterial lens placed in ...

IEEE2021

Teaching Through Performing Arts in Higher Education: Examples in Engineering and Psychology

Simon Nessim Henein, Ramiro Tau, Susanne Martin, Joëlle Valterio

This paper introduces two courses making use of performing arts at university level. The first course, taught by Prof. Simon Henein and his colleagues, called Improgineering, aims to teach collective creation through improvisation to master’s degree studen ...

2021

Hydrogen production on demand by redox-mediated electrocatalysis: A kinetic study

Hubert Girault, Danick Reynard, Sunny Isaïe Maye

Producing hydrogen from water using a redox mediator on solid electrocatalyst particles in a reactor offers several advantages over classical electrolysis in terms of safety, membrane degradation, purity and flexibility. Herein, vanadium-mediated hydrogen ...

ELSEVIER SCIENCE SA2021

3D Weaving with Curved Ribbons

Mark Pauly, Florin Isvoranu, Francis Julian Panetta, Yingying Ren, Tian Chen, Samuel Jean Bernard Poincloux, Christopher Brandt

Basket weaving is a traditional craft for creating curved surfaces as an interwoven array of thin, flexible, and initially straight ribbons. The three-dimensional shape of a woven structure emerges through a complex interplay of the elastic bending behavio ...

2021

Emotions in engineering education: Towards a research agenda

Roland John Tormey

This Work-in-Progress research paper describes preliminary work on a research agenda for emotions in engineering education. Emotions play an important role for teaching and learning in engineering education, but research on the topic is scarce. To spur res ...

IEEE2020

Convex Combination of Diffusion Strategies Over Networks

Ali H. Sayed

Combining diffusion strategies with complementary properties enables enhanced performance when they can be run simultaneously. In this article, we first propose two schemes for the convex combination of two diffusion strategies, namely, the power-normalize ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Decay of Torsional Stiffness in RC U-Shaped Walls

Katrin Beyer

Reinforced concrete (RC) U-shaped walls are a popular construction choice, commonly used to resist the lateral loads from wind and earthquakes. In many buildings, the center of stiffness of a floor is eccentric from the center of mass and the building will ...

2020

FPGAs in the Datacenters: the Case of Parallel Hybrid Super Scalar String Sample Sort

Paolo Ienne, Mikhail Asiatici

String sorting is an important part of database and MapReduce applications; however, it has not been studied as extensively as sorting of fixed-length keys. Handling variable-length keys in hardware is challenging and it is no surprise that no string sorte ...

IEEE COMPUTER SOC2020

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning

Ali H. Sayed, Stefan Vlaski, Roula Nassif

The problem of simultaneously learning several related tasks has received considerable attention in several domains, especially in machine learning, with the so-called multitask learning (MTL) problem, or learning to learn problem [1], [2]. MTL is an appro ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Progress in Violet Light-Emitting Diodes Based on ZnO/GaN Heterojunction

Eric Feltin

Progress in light-emitting diodes (LEDs) based on ZnO/GaN heterojunctions has run into several obstacles during the last twenty years. While both the energy bandgap and lattice parameter of the two semiconductors are favorable to the development of such de ...

MDPI2020

Systematic analysis of wavelet denoising methods for neural signal processing

Silvestro Micera

Objective. Among the different approaches for denoising neural signals, wavelet-based methods are widely used due to their ability to reduce in-band noise. All wavelet denoising algorithms have a common structure, but their effectiveness strongly depends o ...

IOP PUBLISHING LTD2020