Recent Submissions

  • 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 ...
  • 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 ...
  • Beyond the star of stars: An introduction to multihop and mesh for LoRa and LoRaWAN 

    Pueyo Centelles, Roger; Freitag, Fèlix; Meseguer Pallarès, Roc; Navarro Moldes, Leandro (2021-04)
    Article
    Open Access
    LoRa has emerged in recent years as a wireless technology providing long-range communication for low-power Internet-of-Things (IoT) devices. The LoRaWAN architecture adds the medium access control (MAC) and application ...
  • A two-stage multi-criteria optimization method for service placement in decentralized edge micro-clouds 

    Panadero, Javier; Selimi, Mennan; Calvet Liñán, Laura; Marques Puig, Joan Manuel; Freitag, Fèlix (Elsevier, 2021-08)
    Article
    Restricted access - publisher's policy
    Community networks are becoming increasingly popular due to the growing demand for network connectivity in both rural and urban areas. Community networks are owned and managed at the edge by volunteers. Their irregular ...
  • An IoT-based infrastructure to enhance self-evacuations in natural hazardous events 

    Finochietto, José Mariano; Micheletto, Matías; Eggly, Gabriel M.; Pueyo Centelles, Roger; Santos, Rodrigo; Ochoa, Sergio F.; Meseguer Pallarès, Roc; Orozco, Javier (2021-02-05)
    Article
    Open Access
    Regardless of the extensive research conducted on large-scale evacuations, the instrumentation of these processes still represents an open issue for first response organizations. Self-evacuation of civilians that follows ...
  • Open project-based learning for dynamic adaptability of IT education 

    Tous Liesa, Rubén; Freitag, Fèlix (2020-12-20)
    Article
    Open Access
    The pace of technological change is accelerating, the duration of the trends is becoming shorter and the number of technological alternatives to solve IT problems grows quickly. Keeping IT higher education course curricula ...
  • On the performance of QUIC over wireless mesh networks 

    Manzoor, Jawad; Cerdà Alabern, Llorenç; Sadre, Ramin; Drago, Idilio (2020-10)
    Article
    Open Access
    The exponential growth in adoption of mobile phones and the widespread availability of wireless networks has caused a paradigm shift in the way we access the Internet. It has not only eased access to the Internet, but also ...
  • LoRaMoto: a communication system to provide safety awareness among civilians after an earthquake 

    Pueyo Centelles, Roger; Meseguer Pallarès, Roc; Freitag, Fèlix; Navarro Moldes, Leandro; Ochoa, Sergio; Santos, Rodrigo (Elsevier, 2021-02)
    Article
    Open Access
    Civilians in areas hit by earthquakes become in particular concerned about the safety of family and friends. However, outages in communications networks following these events limit their capacity to get information. So, ...

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