Browsing by Author "Ferrer Cid, Pau"
Now showing items 1-7 of 7
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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 AccessThis 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 AccessNowadays 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 AccessDesde 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 AccessNew 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 AccessExisting 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 AccessThe 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 AccessThis 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. ...