Publication

On the Identification of the Synchronous Machine Parameters Using Standstill DC Decay Test

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In concrete structures, opened cracks contribute significantly to the transfer of shear and normal stresses through the contact forces occurring between fractured surfaces. Such contact forces are due to protruding asperities, engaged by interlocking and f ...

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Shear measurement bias: I. Dependencies on methods, simulation parameters, and measured parameters

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We present a study of the dependencies of shear bias on simulation (input) and measured (output) parameters, noise, point-spread function anisotropy, pixel size, and the model bias coming from two different and independent galaxy shape estimators. We used ...

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Sensorless Quasi-static Piezoelectric Actuator for Micro-Robotics

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Research interest into the miniaturisation of micro-robots has soared in recent years due to the availability of suitable integrated actuators. The reduction in size of these components is achieved through the implementation of Self-Sensing Actuation (SSA) ...

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Ensemble Distillation for Robust Model Fusion in Federated Learning

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Federated Learning (FL) is a machine learning setting where many devices collaboratively train a machine learning model while keeping the training data decentralized. In most of the current training schemes the central model is refined by averaging the par ...

2020

Comparison of gait characteristics between clinical and daily life settings in children with cerebral palsy

Kamiar Aminian, Anisoara Ionescu, Lena Carcreff, Stéphane Armand

Gait assessments in standardized settings, as part of the clinical follow-up of children with cerebral palsy (CP), may not represent gait in daily life. This study aimed at comparing gait characteristics in laboratory and real life settings on the basis of ...

Nature Research2020

Data driven building of realistic neuron model using IBEA and CMA evolution strategies

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Recently the building of large neuronal circuits from realistic neuron models has gained traction. This bottom-up approach relies on the accurate description of the primitive elements composing the brain such as neurons and astrocytes, that are then aggreg ...

ACM2020