12–23 Oct 2020
GMT timezone

Session

Oral presentations RTA01

14 Oct 2020, 13:35

Conveners

Oral presentations RTA01

  • Pierre-Andre Amaudruz (TRIUMF (CA))

Presentation materials

There are no materials yet.

  1. CONLIN, Rory (Princeton University)
    14/10/2020, 13:35
    Deep Learning and Machine Learning
    Oral presentation

    With the growth of machine learning models and neural networks in measurement and control systems comes the need to deploy these models in a way that is compatible with existing systems. Existing options for deploying neural networks either introduce very high latency, requires expensive and time consuming work to integrate into existing code bases, or only support a very limited subset of...

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  2. CHILO, JOSE (University of Gavle)
    14/10/2020, 13:55
    Real Time System Architectures and Intelligent Signal Processing
    Oral presentation

    In recent years, irrigations have been built on dry areas in Majes-Arequipa. Over time, the irrigations water forms moist areas in lower areas, which can have positive or negative consequences. Therefore, it is important to know in advance where the water from the new irrigation will appear. The limited availability of real-time satellite image data is still a hindrance to some applications....

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  3. SCOTTI, Valentina
    14/10/2020, 14:15
    Real Time System Architectures and Intelligent Signal Processing
    Oral presentation

    The JEM-EUSO Collaboration aims at studying Ultra High Energy Cosmic Rays (UHECR) from space. In order to reach this goal, a series of pathfinder missions has been developed to prove the observation principle and to raise the technological readiness level of the instrument. Among these, the EUSO-SPB2 (Extreme Universe Space Observatory on a Super Pressure Balloon, mission two) foresees the...

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  4. DAVID, Quentin (IP2I)
    14/10/2020, 14:35
    Real Time System Architectures and Intelligent Signal Processing
    Oral presentation

    The DUNE 10 kton dual-phase module is foreseen acquiring data in continuous streaming via 10 Gbit/s links from 240 uTCA crates hosting 2400 front-end AMC digitizers of 64 readout channels each. The transmitted data flow is compressed in the AMCs with a lossless algorithm. Triggers are defined online by the back-end DAQ system, which continuously analyses the data stream from the uTCA crates to...

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  5. HENNESSY, Karol (University of Liverpool (GB))
    14/10/2020, 14:55
    Real Time System Architectures and Intelligent Signal Processing
    Oral presentation

    The new LHCb Vertex Locator for LHCb, comprising a new pixel detector
    and readout electronics will be installed in 2020 for data-taking in
    Run 3 at the LHC. The electronics centres around the "VeloPix" ASIC at
    the front-end operating in a triggerless readout at 40 MHz. A custom
    serialiser, called GWT (Gigabit Wireline Transmitter) and associated
    custom protocol have been designed for...

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