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Pierre Manneback
Researcher at University of Mons
Publications - 85
Citations - 1032
Pierre Manneback is an academic researcher from University of Mons. The author has contributed to research in topics: Cloud computing & Edge computing. The author has an hindex of 15, co-authored 81 publications receiving 784 citations. Previous affiliations of Pierre Manneback include Faculté polytechnique de Mons.
Papers
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A Multi-Resolution FPGA-Based Architecture for Real-Time Edge and Corner Detection
TL;DR: A performance analysis of the FPGA and the GPU implementations, and an extra CPU reference implementation, shows the competitive throughput of the proposed architecture even at a much lower clock frequency than those of the GPU and the CPU.
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Fog IoT for Health: A new Architecture for Patients and Elderly Monitoring.
TL;DR: A Fog IoT Cloud-Based Health Monitoring System by using physiological and environmental signals allowing to provide contextual information in terms of Daily Living Activities to enable healthcare providers to follow up health state and behavioral changes of elderly or alone people.
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A new Edge Architecture for AI-IoT services deployment
Olivier Debauche,Olivier Debauche,Saïd Mahmoudi,Sidi Ahmed Mahmoudi,Pierre Manneback,Frédéric Lebeau +5 more
TL;DR: This paper proposes a new architecture used to deploy at edge level micro services and adapted artificial intelligence algorithms and models to improve latency and jitter in post-cloud approaches using Edge computing.
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Monitoring System Using Internet of Things For Potential Landslides
Meryem El Moulat,Olivier Debauche,Olivier Debauche,Saïd Mahmoudi,Lahcen Aït Brahim,Pierre Manneback,Frédéric Lebeau +6 more
TL;DR: A new approach of monitoring to detect when hillslopes are primed for sliding and can provide early indications of rapid and catastrophic movement is outlined, which enables more effective engineering and planning efforts.
Journal ArticleDOI
Web Monitoring of Bee Health for Researchers and Beekeepers Based on the Internet of Things
Olivier Debauche,Olivier Debauche,Meryem El Moulat,Saïd Mahmoudi,Slimane Boukraa,Pierre Manneback,Frédéric Lebeau +6 more
TL;DR: This paper proposes a technical solution easily replicable, based on accurate and affordable sensors and a cloud architecture to monitor and follow bees’ behavior, which provides a platform for researchers to better understand and measure the impacts factors which lead to the mass extinction of bees.