Now showing items 1-7 of 7

    • A comparative study of calibration methods for low-cost ozone sensors in IoT platforms 

      Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Ripoll, Anna; Viana, Mar (2019-12-01)
      Article
      Open Access
      This paper shows the result of the calibration process of an Internet of Things platform for the measurement of tropospheric ozone (O 3 ). This platform, formed by 60 nodes, deployed in Italy, Spain, and Austria, consisted ...
    • Calibration of low-cost air pollutant sensors using machine learning techniques 

      Ferrer Cid, Pau (Universitat Politècnica de Catalunya, 2019-06)
      Master thesis
      Open Access
      Nowadays concern about air pollution has risen due to the effects of the climate change.The application of machine learning methods for the calibration of low-cost sensors is studied. The short-term, long-term, sensor ...
    • Comparativa de métodos de localización con Smartphones 

      Ferrer Cid, Pau (Universitat Politècnica de Catalunya, 2017-06)
      Bachelor thesis
      Open Access
      Desde la aparición del iPhone en enero del 2007 y de los teléfonos Android en octubre del 2008, el uso de teléfonos inteligentes (smartphones) ha crecido de manera sostenida, de modo que ya forman parte de nuestro día a ...
    • Distributed multi-scale calibration of low-cost ozone sensors in wireless sensor networks 

      Barceló Ordinas, José María; Ferrer Cid, Pau; García Vidal, Jorge; Ripoll, Anna; Viana, Mar (Multidisciplinary Digital Publishing Institute (MDPI), 2019-05-31)
      Article
      Open Access
      New advances in sensor technologies and communications in wireless sensor networks have favored the introduction of low-cost sensors for monitoring air quality applications. In this article, we present the results of the ...
    • Graph learning techniques using structured data for IoT air pollution monitoring platforms 

      Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2021-09-01)
      Article
      Open Access
      Existing air pollution monitoring networks use reference stations as the main nodes. The addition of low-cost sensors calibrated in-situ with machine learning techniques allows the creation of heterogeneous air pollution ...
    • H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network 

      Barceló Ordinas, José María; Ferrer Cid, Pau; García Vidal, Jorge; Viana Rodríguez, Mar; Ripoll, Anna (Elsevier, 2021-06)
      Article
      Open Access
      The H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O3). The aim of the H2020 CAPTOR project was to raise public awareness in a ...
    • Multisensor data fusion calibration in IoT air pollution platforms 

      Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Ripoll, Anna; Viana, Mar (2020-04-01)
      Article
      Open Access
      This article investigates the calibration of low-cost sensors for air pollution. The sensors were deployed on three Internet of Things (IoT) platforms in Spain, Austria, and Italy during the summers of 2017, 2018, and 2019. ...