Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/27149

Title: An Online Platform For Real-Time Air Quality Monitoring
Authors: Silva, Jorge
Lucas, Pedro
Araujo, Filipe
Silva, Catarina
Gil, Paulo
Cardoso, Alberto
Arrais, Joel
Ribeiro, Bernardete
Coutinho, Daniel
Salgueiro, Pedro
Rato, Luís
Saias, José
Nogueira, Vítor
Keywords: Air Quality Monitoring
Low-cost Nano-sensors
Cloud Platform
Mobile Application
Issue Date: 21-Oct-2019
Publisher: IEEE
Citation: J. Silva et al., "An Online Platform For Real-Time Air Quality Monitoring," 2019 5th Experiment International Conference (exp.at'19), Funchal (Madeira Island), Portugal, 2019, pp. 320-325. doi: 10.1109/EXPAT.2019.8876486 keywords: {air quality;environmental monitoring (geophysics);environmental science computing;Internet;learning (artificial intelligence);nanosensors;online platform;real-time air quality monitoring;public concern;environmental issues;government-owned sensors;NanoSen-AQM project;low-cost nanosensors;web development frameworks;NanoSen-AQM platform;mobile frameworks;sensor owners;free access;Sensors;Monitoring;Real-time systems;Indexes;Air pollution;Data visualization;Air Quality Monitoring;Low-cost Nano-sensors;Cloud Platform;Mobile Application}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8876486&isnumber=8876462
Abstract: 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 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 projects 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 stateof-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.
URI: https://ieeexplore.ieee.org/document/8876486/authors#authors
http://hdl.handle.net/10174/27149
ISBN: 978-1-7281-3637-0
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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