Titolo:
Experimental Assessment of Passive UHF-RFID Sensor Tags for Environment and Kinematic DataAbstract:
Radio
Frequency Identification (RFID) technology and low power electronic sensors con
be combined to build wireless passive sensors which might cover many
applications ranging from Internet of Things to Healthcare. This talk presents
a multi–perspective overview of RFID–based sensor tags and then proceed to
experimentally characterize the sensing capabilities of two commercial fully
passive RFID sensor tags for acceleration and relative humidity data
acquisition, respectively.
Relatore:
Dr. Ria Andrea (CNR - IEIIT Research fellow)
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Titolo: Photonic-Aware Neural Networks
Abstract: The energy consumption and footprint for computation and data movement in deep neural networks is becoming a major limiting factor impacting their scalability. Photonic solutions are investigated as an energy-efficient alternative because of the inherent parallelism, the high processing rate with low latency, and the possibility to exploit passive optical elements. However, photonic hardware introduces constraints that need to be taken into accounts. We show that neural network models tailored for the photonic hardware can reach state-of-the-art accuracy on well-known computer vision problems.
Relatore: Dr. Emilio Paolini (CNR - IEIIT PhD student)
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Titolo: FPGA acceleration of the information
reconciliation for a continuous variable quantum key distribution system
Abstract: Information
Reconciliation represents one of the tightest bottlenecks in a QKD system.
FPGAs can help accelerating this phase. My short talk will be about an FPGA
implementation of the encoder-side processing for information reconciliation.
Processing is aimed at a CV-QKD system and enables multidimensional
reconciliation. The design employs Chisel HDL, a set of Scala libraries, to
describe hardware, then simulate and test its behaviour.
Relatore: Dr. Marco Origlia (CNR - IEIIT PhD student)
