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In CS-ORION, our focus is on the design, testing, and evaluation of compressive sensing (CS) architectures for enhancing the high-quality video acquisition and delivery capabilities of remote sensing devices that will enable them to provide efficient remote imaging in aerial and terrestrial surveillance. Our goal is to consider a long-term, multi-layer approach that combines expertise from statistical signal processing, data representation theory, and video coding and transmission techniques, for enabling robust and high-quality remote imaging. |
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HYDROBIONETS will address: a) the distributed acquisition of spatio-temporal biological signals, including the specific design of BioMEMs and their stable integration to motes; b) in-network cooperative processing and distributed intelligence to achieve essential tasks such as inference, detection, and decision-making; c) networked dense control to ensure adequate water quality, productivity and energy efficiency of water treatment plants. The results of this project will be demonstrated in real large-scale industrial water treatment and desalination plants, provided directly by partner ACCIONA, a worldwide leader in the water industry. | |