Approaching on-line estimation of swimming instantaneous velocity using a wearable IMU

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Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images

Pascal Fua, Mateusz Kozinski, Leonardo Citraro

Existing connectivity-oriented performance measures rank road delineation algorithms inconsistently, which makes it difficult to decide which one is best for a given application. We show that these inconsistencies stem from design flaws that make the metri ...

2020

FB-ECDA: Fragment-based Electronic Coupling Decomposition Analysis for Organic Amorphous Semiconductors

Anne-Clémence Corminboeuf, Kun-Han Lin

We present a fragment-based decomposition analysis tool (FB-ECDA) for the electronic coupling of charge transfer processes. This tool provides insight on the sophisticated relationship between molecular packing, electronic coupling, and the molecular trans ...

AMER CHEMICAL SOC2020

Flexure-based mecano-optical multi-degree-of-freedom transducers dedicated to medical force sensing instruments

Sebastian Krzysztof Fifanski

This thesis develops novel multi-degrees-of-freedom flexure-based force sensors by exploiting white light interferometry. Fabry-Pérot interferometry measurement has nanometric accuracy which yields sub milli-Newton force sensing accuracy. Such force sensin ...

EPFL2020

Rapid 3-D Magnetic Integral Field Computation of Current-Carrying Finite Arc Segments With Rectangular Cross Section

Basile Kawkabani, Frédéric Michael Maurer

The computation of 3-D magnetic fields is a demanding task in the analysis of electrical machines and other electromagnetic devices. In this context, integral field calculation provides a smooth solution, high precision and resolution, "on-demand"-calculat ...

Institute of Electrical and Electronics Engineers2020

Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models

Felix Schürmann, Francesco Cremonesi

Computational modeling and simulation have become essential tools in the quest to better understand the brain's makeup and to decipher the causal interrelations of its components. The breadth of biochemical and biophysical processes and structures in the b ...

HUMANA PRESS INC2020

Gait in real world: validated algorithms for gait periods and speed estimation using a single wearable sensor

Abolfazl Soltani

Mobility concerns most daily tasks (e.g., householding, shopping), affecting life quality. Gait speed, recognized as the sixth vital sign, is a key to characterize mobility. It is also a primary outcome of many clinical interventions. Monitoring gait in un ...

EPFL2020

Impact of a learning analytics dashboard on the practice of students and teachers

Roland John Tormey, Patrick Jermann, Cécile Hardebolle, Francisco Pereira Correia Pinto

This paper reports results of the deployment of a learning analytics dashboard in the context of introductory Maths, Physics and Chemistry courses in the first year of the Engineering bachelor of a Swiss technical university. Informed by research on self r ...

2019

Particle transport at arbitrary timescales with Poisson-distributed collisions

Ambrogio Fasoli, Ivo Furno, Paolo Ricci, Marcelo Baquero Ruiz, Fabian Manke

We develop a model to investigate the time evolution of the mean location and variance of a random walker subject to Poisson-distributed collisions at constant rate. The collisions are instantaneous velocity changes where a new value of velocity is generat ...

2019

Multirotor UAV-based platform for the measurement of atmospheric turbulence: validation and signature detection of tip vortices of wind turbine blades

Lionel Wilhelm, Fernando Porté Agel, Fernando Carbajo Fuertes

The present study describes the development of a technique for the measurement of atmospheric turbulence and temperature at a point in space based on the integration of a fast-response multi-hole pressure probe and a thermocouple with an inertial measureme ...

2019

Global Flux-Driven Simulations of Ion Temperature-Gradient and Trapped-Electron Modes Driven Turbulence with an Improved Multithreaded Gyrokinetic PIC Code

Emmanuel Lanti

Performance of tokamak fusion plasmas is heavily linked to the radial heat and particle transport, which is known to be mainly produced by turbulence driven by micro-instabilities. Understanding such processes is thus of key importance for the design and o ...

EPFL2019

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Jan Skaloud, Stéphane Guerrier, Mehran Khaghani

Proper modeling of stochastic errors in inertial sensors plays a crucial role in the achievable quality of GNSS-INS integration especially with low-cost inertial sensors. Generalized Method of Wavelet Moments (GMWM) can model the underlying process for suc ...

2019

A system to measure the kinematics during the entire ski jump sequence using inertial sensors

Kamiar Aminian, Julien Favre, Julien Chardonnens

Three-dimensional analysis of the entire sequence in ski jumping is recommended when studying the kinematics or evaluating performance. Camera-based systems which allow three-dimensional kinematics measurement are complex to set-up and require extensive po ...

Elsevier2013