P: Poster Session

Chair: Toni Perković, University Department of Forensic Sciences, University of Split, Croatia
14 Jul 2016
Faculty Atrium

P: Poster Session

  1. A virtual instrument for efficient blind-source separation of nonstationary signals
    Zeljka Milanovic (University of Split, FESB, Croatia); Nicoletta Saulig and Victor Sucic (University of Rijeka, Croatia)

    In this paper two methods for blind source separation of nonstationary signals applied to time frequency distributions are compared through implementation in a virtual instrument. The methods are both based on image processing approaches, but adopt different strategies for solving the blind source separation problem: the first method is based on a data clustering based extraction, while the second one relies on the initial estimation of the number of components followed by an iterative peak detection and extraction algorithm. Proposed virtual instrument provides an efficient and fast method for signal analysis, with low execution time and low resource consumption.

  2. Passive RFID Tag with Sensing and Reasoning Capabilities for Building Automation
    Riccardo Colella, Luca Catarinucci and Luciano Tarricone (University of Salento, Italy)

    In this work SPARTACUS a novel Passive RFID augmented device useful to be adopted in challenging IoT contexts like the building automation is presented. While being completely passive, the novel RFID tag conjugates identification, sensing, local computing, and actuation control and enables a proactive communication with any standard RFID reader. Thanks to a specific electromagnetic design and exploiting polarization diversity of two antennas performing both energy harvesting and communication, SPARTACUS ensures compactness, energy-efficiency, and ease of use.

  3. Evaluating the Suitability of Specific RFID Tags for IoT Applications Through a New Characterization Platform
    Riccardo Colella, Luca Catarinucci and Luciano Tarricone (University of Salento, Italy)

    Radio-frequency identification (RFID) is one of the most promising technologies to enable new smart applications in the framework of the Internet of Things (IoT). Nevertheless, from the electromagnetic point of view, the performance of the RFID tags is generally dependent on the context, so that the selection of the most suitable tag for the specific application becomes the key point. In this work, a cost-effective but accurate characterization system for the performance evaluation of UHF RFID tags is first presented and then validated on the IoT-related relevant case of RFID-based interaction with buildings.