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

dc.contributor.author Tariq, Hasan
dc.contributor.author Abdaoui, Abderrazak
dc.contributor.author Touati, Farid
dc.contributor.author Al-Hitmi, Mohammed Abdulla E
dc.contributor.author Crescini, Damiano
dc.contributor.author Manouer, Adel Ben
dc.date.accessioned 2021-02-21T13:00:29Z
dc.date.available 2021-02-21T13:00:29Z
dc.date.copyright © 2020
dc.date.issued 2020-06
dc.description This 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/DTS48731.2020.9196131 en_US
dc.description.abstract In 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.citation Tariq, 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/DTS48731.2020.9196131 en_US
dc.identifier.isbn 978-172815428-2
dc.identifier.uri https://doi.org/10.1109/DTS48731.2020.9196131
dc.identifier.uri http://hdl.handle.net/20.500.12519/340
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors 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.ispartofseries 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS);Article number 9196131
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holder Copyright : 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.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Air quality en_US
dc.subject Environmental mapping en_US
dc.subject Gas sensors en_US
dc.subject Heterogeneous en_US
dc.subject IoT en_US
dc.subject Multi-variable en_US
dc.subject Air quality
dc.subject Energy efficiency
dc.subject Internet of things
dc.subject Mapping
dc.subject Nanosensors
dc.subject Nanosystems
dc.subject Nitrogen oxides
dc.subject Photovoltaic cells
dc.subject Sulfur dioxide
dc.subject Volatile organic compounds
dc.subject Cross sensitivity
dc.subject Event-triggered
dc.subject Nitrogen dioxides
dc.subject Particulate Matter
dc.subject Photovoltaic power
dc.subject Principle variables
dc.subject Qatar university
dc.subject Quality sensing
dc.subject Multivariable systems
dc.title A real-time gradient aware multi-variable handheld urban scale air quality mapping IoT system en_US
dc.type Conference Paper en_US
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