Recent Submissions

  • Sampling trade-offs in duty-cycled systems for air quality low-cost sensors 

    Ferrer Cid, Pau; García Calvete, Julio; Main Nadal, Aina; Ye, Zhe; Barceló Ordinas, José María; García Vidal, Jorge (Multidisciplinary Digital Publishing Institute (MDPI), 2022-05-23)
    Article
    Open Access
    The use of low-cost sensors in conjunction with high-precision instrumentation for air pollution monitoring has shown promising results in recent years. One of the main challenges for these sensors has been the quality of ...
  • Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Elsevier, 2022-12)
    Article
    Open Access
    Recently, the monitoring of air pollution by means of lowcost sensors has become a growing research field due to the study of techniques based on machine learning to improve the sensors’ data quality. For this purpose, ...
  • A low-cost and do-it-yourself device for pumping monitoring in deep aquifers 

    Aliagas, Carles; Pérez Foguet, Agustí; Meseguer Pallarès, Roc; Millán Marco, Pere; Molina Clemente, Carlos Maria (2022-11)
    Article
    Open Access
    Water crises due to climate change, high population growth and increasing demands from industry and agriculture claim for increasing efficiency and universalizing water resources management strategies and techniques. Water ...
  • Implementation of a LoRa Mesh library 

    Miquel Solé, Joan; Pueyo Centelles, Roger; Freitag, Fèlix; Meseguer Pallarès, Roc (Institute of Electrical and Electronics Engineers (IEEE), 2022-10-26)
    Article
    Open Access
    LoRa is a popular communication technology in the Internet of Things (IoT) domain, providing low-power and long-range communications. Most LoRa IoT applications use the LoRaWAN architecture, which builds a star topology ...
  • Graph signal reconstruction techniques for IoT air pollution monitoring platforms 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2022-12-15)
    Article
    Open Access
    Air pollution monitoring platforms play a very important role in preventing and mitigating the effects of pollution. Recent advances in the field of graph signal processing have made it possible to describe and analyze air ...
  • A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields 

    López, Emiliano; Vionnet, Carlos; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Contini, Guillermo; Prodolliet, Jorge; Maiztegui, José (2022-09-09)
    Article
    Open Access
    The simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ...
  • Data reconstruction applications for IoT air pollution sensor networks using graph signal processing 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Elsevier, 2022-09)
    Article
    Restricted access - publisher's policy
    The analysis of sensor networks for air pollution monitoring is challenging. Recent studies have demonstrated the ability to reconstruct the network measurements with graphs derived from the acquired data, thus describing ...
  • Volterra graph-based outlier detection for air pollution sensor networks 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2022-07)
    Article
    Open Access
    Today's air pollution sensor networks pose new challenges given their heterogeneity of low-cost sensors and high-cost instrumentation. Recently, with the advent of graph signal processing, sensor network measurements have ...
  • On-device training of machine learning models on microcontrollers with federated learning 

    Llisterri Giménez, Nil; Monfort Grau, Marc; Pueyo Centelles, Roger; Freitag, Fèlix (2022-02-14)
    Article
    Open Access
    Recent progress in machine learning frameworks has made it possible to now perform inference with models using cheap, tiny microcontrollers. Training of machine learning models for these tiny devices, however, is typically ...
  • Non-linear models for black carbon exposure modelling using air pollution datasets 

    Puig Rovira, Josep M.; Paredes Ahumada, Juan Antonio; Barceló Ordinas, José María; García Vidal, Jorge; Reche Andúgar, Cristina; Sola Salvatierra, Yolanda; Fung, Pascale; Petaja, Tuukka; Hussein, Tareq; Viana Rodríguez, Mar (Elsevier, 2022-09-01)
    Article
    Open Access
    Black carbon (BC) is a product of incomplete combustion, present in urban aerosols and sourcing mainly from road traffic. Epidemiological evidence reports positive associations between BC and cardiovascular and respiratory ...
  • SAT-hadoop-processor: a distributed remote sensing big data processing software for earth observation applications 

    Boudriki Semlali, Badr Eddine; Freitag, Fèlix (Multidisciplinary Digital Publishing Institute, 2021-11-11)
    Article
    Open Access
    Nowadays, several environmental applications take advantage of remote sensing techniques. A considerable volume of this remote sensing data occurs in near real-time. Such data are diverse and are provided with high velocity ...
  • 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 ...

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