A real-time gradient aware multi-variable handheld urban scale air quality mapping IoT system

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dc.contributor.authorTariq, Hasan
dc.contributor.authorAbdaoui, Abderrazak
dc.contributor.authorTouati, Farid
dc.contributor.authorAl-Hitmi, Mohammed Abdulla E
dc.contributor.authorCrescini, Damiano
dc.contributor.authorManouer, Adel Ben
dc.date.accessioned2021-02-21T13:00:29Z
dc.date.available2021-02-21T13:00:29Z
dc.date.copyright© 2020
dc.date.issued2020-06
dc.descriptionThis conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) (2020), available online at: https://doi.org/10.1109/DTS48731.2020.9196131en_US
dc.description.abstractIn outdoor urban scale air quality mapping, electrochemical sensors warm-up time, cross-sensitivity, geo-location typography, and energy efficiency are major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and prolonged lags in air quality mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter, ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality mapping for the chosen geo-spatial cluster, i.e. Qatar University. © 2020 IEEE.en_US
dc.identifier.citationTariq, H., Abdaoui, A., Touati, F., Al-Hitmi, M. A. E., Crescini, D. & Manouer, A.B. A Real-time Gradient Aware Multi-Variable Handheld Urban Scale Air Quality Mapping IoT System. 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS), Hammamet, Tunisia, 2020, pp. 1-5, https://doi.org/10.1109/DTS48731.2020.9196131en_US
dc.identifier.isbn978-172815428-2
dc.identifier.urihttps://doi.org/10.1109/DTS48731.2020.9196131
dc.identifier.urihttp://hdl.handle.net/20.500.12519/340
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors Affiliations : Tariq, H., College of Engineering, Qatar University, Department of Electrical Engineering, Doha, Qatar; Abdaoui, A., College of Engineering, Qatar University, Department of Electrical Engineering, Doha, Qatar; Touati, F., College of Engineering, Qatar University, Department of Electrical Engineering, Doha, Qatar; Al-Hitmi, M.A.E., College of Engineering, Qatar University, Department of Electrical Engineering, Doha, Qatar; Crescini, D., Brescia University, Brescia, Italy; Mnaouer, A.B., Canadian University Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseries2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS);Article number 9196131
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html
dc.subjectAir qualityen_US
dc.subjectEnvironmental mappingen_US
dc.subjectGas sensorsen_US
dc.subjectHeterogeneousen_US
dc.subjectIoTen_US
dc.subjectMulti-variableen_US
dc.subjectAir quality
dc.subjectEnergy efficiency
dc.subjectInternet of things
dc.subjectMapping
dc.subjectNanosensors
dc.subjectNanosystems
dc.subjectNitrogen oxides
dc.subjectPhotovoltaic cells
dc.subjectSulfur dioxide
dc.subjectVolatile organic compounds
dc.subjectCross sensitivity
dc.subjectEvent-triggered
dc.subjectNitrogen dioxides
dc.subjectParticulate Matter
dc.subjectPhotovoltaic power
dc.subjectPrinciple variables
dc.subjectQatar university
dc.subjectQuality sensing
dc.subjectMultivariable systems
dc.titleA real-time gradient aware multi-variable handheld urban scale air quality mapping IoT systemen_US
dc.typeConference Paperen_US
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