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Percorrer por autor "Rato, Luis"

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  • A Hybrid Application for Real-Time Air Quality Monitoring
    Publication . Silva, Jorge; Salgueiro, Pedro; Rato, Luis; Saias, José; Nogueira, Vitor; Lucas, Pedro; Araujo, Filipe; Silva, Catarina; Gil, Paulo; Cardoso, Alberto; Arrais, Joel; Ribeiro, Bernardete; Coutinho, Daniel
    With the raising concerns for the environment, interest in monitoring air quality is likely to increase in the near future. However, most data comes from a limited number of government-owned sensors, which can only capture a small fraction of reality. Improving data coverage thus involves reducing the cost of sensors and make data widely available. For this, we will use a very high number of low-cost sensors as the basis for an air quality monitoring platform, capable of collecting, aggregating, storing and displaying data. This platform will use stream-based technologies capable of scaling for large numbers of sensors and users. The resulting NanoSen-AQM platform will provide vast amounts of air quality data to the public, with the aim of improving public health.
    2019-06Comunicação em conferência Acesso aberto Ver mais
  • An Online Platform For Real-Time Air Quality Monitoring
    Publication . Silva, Jorge; Salgueiro, Pedro; Rato, Luis; Saias, Jose; Nogueira, Vitor; Lucas, Pedro; Araujo, Filipe; Silva, Catarina; Gil, Paulo; Cardoso, Alberto; Arrais, Joel; Ribeiro, Bernardete; Coutinho, Daniel
    The interest in the quality of air is likely to increase, as the public concern for health and environmental issues is on the rise. So far, most data available comes from a small numbers of government-owned sensors, lacking a wide coverage of the entire reality. Improving the amount of data available thus involves reducing the cost of sensors and make their readings accessible to the public. The NanoSen-AQM project aims to do precisely that. Create and use vast numbers of low-cost nano-sensors, to make their data accessible for the public. To achieve such an ambitious goal, the project will use state-of-the-art techniques from Machine Learning and mobile and web development frameworks. As a result, the NanoSen-AQM platform should provide free access to the public and low-cost of entry for sensor owners willing to share their data.
    2019-06Comunicação em conferência Acesso restrito Ver mais