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Rui Hu, Bruno Michel, Dario Russo, Niccolò Mora, Guido Matrella, Paolo Ciampolini, Francesca Cocchi, Enrico Montanari, Stefano Nunziata and Thomas Brunschwiler
Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through a...
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Yunwei Wang, Yun Peng, Zhiyun Du, Hangjie Lin and Qian Yu
In environments of high suspended sediment concentration (SSC > 1 kg/m3), efficient measurements of SSC through accurate calibration relationships between turbidity and SSC are necessary for studies on marine sediment dynamics. Here, we investigated the ...
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Bartolomeo Ventura, Andrea Vianello, Daniel Frisinghelli, Mattia Rossi, Roberto Monsorno and Armin Costa
Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eur...
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Zeqiang Chen and Nengcheng Chen
The timely sharing and interoperation of multi-source cross-sectoral information is an important issue for a Geographic Information System (GIS). To study this issue, a real-time and open GIS model called GeoSensor is proposed in this work. GeoSensor int...
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Paolo Tagliolato, Cristiano Fugazza, Alessandro Oggioni and Paola Carrara
The adoption of Sensor Web Enablement (SWE) practices by sensor maintainers is hampered by the inherent complexity of the Sensor Model Language (SensorML), its high expressiveness, and the scarce availability of editing tools. To overcome these issues, t...
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