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Last name: PEGATOQUET
First name: Alain
Email: Alain.PEGATOQUET@univ-cotedazur.fr
Institution: UCA
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Wireless Sensor Networks (WSNs) with energy harvesting capabilities have drawn increasing attention in the last few years, as they enable long-term monitoring applications. However, the level of power harvested is usually limited to few mW. To improve the energy efficiency of WSNs, many power management techniques have been proposed to adjust...
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This report proposes a synthesis of my research and teaching activities. Since 2008, as associate professor at the University of Nice Sophia Antipolis, I did my research into the MCSOC team from the LEAT laboratory. For nearly 15 years, my activity is focused on the design of embedded communicating objects, with a strong emphasis for high level...
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IEEE Sensors Applications Symposium (SAS) is one of the flagship conferences of the IEEE Instrumentation and Measurement Society (IMS). SAS brings together sensor developers, innovators and users, providing a forum for the exploration of new applications in sensor technology. The conference focuses on sensors, sensing methodologies, sensor...
Embedding Artificial Intelligence onto low-power devices is a challenging task that hasbeen partly overcome with recent advances in machine learning and hardware design. Presently,deep neural networks can be deployed on embedded targets to perform different tasks such asspeech recognition, object detection or Human Activity Recognition....
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Current DSP C compilers are generally unable to produce efficient assembly code. In order to respect tight real-time constraints of embedded systems, programmers commonly write DSP code by hand. However programming in assembly language becomes increasingly difficult since DSP applications are becoming larger and more complex. Programming DSP...
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Predictive maintenance in the car industry is an active field of research for machine learning and anomaly detection. The capability of cars to produce time series data from sensors is growing as the car industry is heading towards more connected and electric vehicles. Unsupervised anomaly detectors are therefore very adapted to process those...
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