La tesi premiata si occupa di analizzare i dati sul volume delle foreste acquisiti tramite sensori radar per caratterizzare alcuni fenomeni, come il vento, che possono causare un disturbo d'immagine
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Cyber Physical Systems Lab
Mission:
- Design of smart applications based on wearable technologies for improving human security, efficiency, comfort and health in Industry.
- Wearable systems and applications based on Ultra-WideBand.
- Formal modeling, co-simulation and verification of Cyber-Physical Systems. Application of a co-simulation framework to semi-autonomous robotic systems and medical devices with human-machine interaction.
People:
Marco Avvenuti (coordinator), Cinzia Bernardeschi, Mario Cimino, Andrea Domenici, Alessio Vecchio, Gigliola Vaglini
Projects:
- “Wearable Sensor Systems: personalized analysis and data security in healthcare”, PRA 2018_81 project funded by the University of Pisa
- "KI-FOOT: sensorized footwear for gait analysis”, funded by Tuscany Region, http://mlpi.ing.unipi.it/wp-content/uploads/2019/03/PosterKI-FOOT.pdf
- "GSMART: IoT-enabled operational intelligence", funded by Tuscany Region, http://www.geostech.it/news-bando
- "SCIADRO: adaptive exploration of a UAVs swarm for distributed targets detection and tracking", funded by Tuscany Region, http://mlpi.ing.unipi.it/wp-content/uploads/2019/03/PosterSCIADRO.pdf
Lab Equipment:
- Shimmer 3 Wearable Sensor platform and equipment for biophysical and kinematic data capture in realtime (10 boards)
- Ultra-Wide Band transceivers (16 boards)
02 Aprile 2019
1712
Dipartimento di Ingegneria dell'Informazione
Via G. Caruso 16 - 56122 - Pisa
Tel +39 050 2217511 - info@dii.unipi.it
PEC: ing.informazione@pec.unipi.it
Info Didattica: didattica@dii.unipi.it
P.I. 00286820501 - C.F. 80003670504