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Publications associées (35)

Uncooperative Rendezvous in Space: Design of an Electronic Architecture for High Performance Avionic with Multi Sensor Input and Intensive Data Rate.

Active Debris Removal missions consist of sending a satellite in space and removing one or more debris from their current orbit. A key challenge is to obtain information about the uncooperative target. By gathering the velocity, position, and rotation of t ...

EPFL2022

System-level Design of Adaptive Wearable Sensors for Health and Wellness Monitoring

Elisabetta De Giovanni

In recent years, population aging and the consequent higher incidence of noncommunicable diseases, have increased the need for long-term health monitoring. Moreover, as healthcare cost is projected to grow substantially by 2030 in OECD countries, the deman ...

EPFL2021

SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing

Samuel Bosch, Mohsen Imani

In the Internet of Things (IoT), the large volume of data generated by sensors poses significant computational challenges in resource-constrained environments. Most existing machine learning algorithms are unable to train a proper model using a significant ...

IEEE2019

Exploiting Flow Graph of System of ODEs to Accelerate the Simulation of Biologically-Detailed Neural Networks

Felix Schürmann, Michael Lee Hines, Bruno Ricardo Da Cunha Magalhães

Exposing parallelism in scientific applications has become a core requirement for efficiently running on modern distributed multicore SIMD compute architectures. The granularity of parallelism that can be attained is a key determinant for the achievable ac ...

IEEE2019

Live Demonstration: Quasi-Digital Portable Pen to Monitor Anaesthetics Delivery

Sandro Carrara, Danilo Demarchi, Simone Aiassa, Francesco Grassi

The live demonstration presents the innovative concept of a portable pen-device able to sense anaesthetic compounds over time for improved anaesthesiology practice. A custom Printed Circuit Board (PCB) manage in the event-based quasi-digital domain the sam ...

IEEE2019

Obstacle detection for lake-deployed autonomous surface vehicles using RGB imagery

David Andrew Barry, Philippe Olivier Paccaud

We describe and test an obstacle-detection system for small, lake-deployed autonomous surface vehicles (ASVs) that relies on a low-cost, consumer-grade camera and runs on a single-board computer. A key feature of lakes that must be accounted for is the fre ...

2018

An IoT Solution for Online Monitoring of Anesthetics in Human Serum Based on an Integrated Fluidic Bioelectronic System

Giovanni De Micheli, Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Tugba Kilic, Abuduwaili Tuoheti, Sofia Lydia Ntella, Nadia Tamburrano, Zijian Huang

In this paper, we present the design, the implementation and the validation of a novel Internet of Things (IoT) drug monitoring system for the online continuous and simultaneous detection of two main anesthetics, e.g., propofol and paracetamol, in undilute ...

2018

A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots

Davide Scaramuzza

Flying robots require a combination of accuracy and low latency in their state estimation in order to achieve stable and robust flight. However, due to the power and payload constraints of aerial platforms, state estimation algorithms must provide these qu ...

2018

A Dynamically Reconfigurable Platform for High-Performance and Low-Power On-Board Processing

Paolo Ienne, Andrea Guerrieri, Sahand Kashani

FPGAs (Field Programmable Gate Array) are an attractive technology for high-speed data processing in space missions due to their unbeatable flexibility and best performance-to-power ratio in comparison to software. However FPGAs suffer from 3 major drawbac ...

IEEE2018

Community Building with Co-located Social Media: A Field Experiment with Syrian Refugees

Denis Gillet, Adrian Christian Holzer

While co-located social media previously has been employed to enhance interaction in community building activities in previous work, its range of effects have not been quantitatively described. In this study, we introduce a co-located social media app call ...

ACM2017

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