SUSTAIN – Smart Building Sensitive to Daily Sentiment
Buildings are evolving into smart organisms through their unmatched concentration of distributed sensing, actuation and intelligence. Indeed, the current regulatory requirements building automation control systems in tertiary buildings by 2025. Still, despite massively deployed sensors of all kind, instead of actual awareness, nowadays at most unconscious processing (C0) is reached.
SUST(AI)N derives theoretical & experimental underpinnings to combine novel distributed intelligence, unprecedented sensing accuracy, and reconfigurable hardware in a smart building context into a conscious organism that achievesself-awarenessthrough probabilistic reasoning across its connected sustainable devices.
News
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Wi-Diag: Robust Multisubject Abnormal Gait Diagnosis With Commodity Wi-Fi
The existing commodity Wi-Fi-based human gait recognition systems mainly focus on a single subject due to the challenges of multisubject walking monitoring. To tackle the problem, we propose Wi-Diag, the first commodity Wi-Fi-based multisubject abnormal gait diagnosis system that leverages only one pair of off-the-shelf commercial Wi-Fi transceivers to separate each subject’s gait information and…
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Applied Soft Computing – A population-based approach for multi-agent interpretable reinforcement learning
Multi-Agent Reinforcement Learning (MARL) made significant progress in the last decade, mainly thanks to the major developments in the field of Deep Neural Networks (DNNs). However, DNNs suffer from a fundamental issue: their lack of interpretability. While this is true for most applications of DNNs, this is exacerbated in their applications in MARL. In fact,…
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Power Gain from Energy Harvesting Sources at High Mppt Sampling Rates
Energy harvesting (EH) sources require the tracking of their maximum power point (MPP) to ensure that maximum energy is captured. This tracking process, performed by an MPP tracker (MPPT), is performed by periodically measuring the EH transducer’s output at a given sampling rate. The harvested power as a function of the sampling parameters has been…
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. Grant number 101071179.