Smart City Gnosys

Smart city article details

Title	Aquamoho: Localized Low-Cost Outdoor Air Quality Sensing Over A Thermo-Hygrometer
ID_Doc	10247
Authors	Pramanik P.; Karmakar P.; Sharma P.K.; Chatterjee S.; Roy A.; Mandal S.; Nandi S.; Chakraborty S.; Saha M.; Saha S.
Year	2023
Published	ACM Transactions on Sensor Networks, 19, 3
DOI	http://dx.doi.org/10.1145/3580279
Abstract	Efficient air quality sensing serves as one of the essential services provided in any recent smart city. Mostly facilitated by sparsely deployed Air Quality Monitoring Stations (AQMSs) that are difficult to install and maintain, the overall spatial variation heavily impacts air quality monitoring for locations far enough from these pre-deployed public infrastructures. To mitigate this, we in this article propose a framework named AQuaMoHo that can annotate data obtained from a low-cost thermo-hygrometer (as the sole physical sensing device) with the AQI labels, with the help of additional publicly crawled Spatio-temporal information of that locality. At its core, AQuaMoHo exploits the temporal patterns from a set of readily available spatial features using an LSTM-based model and further enhances the overall quality of the annotation using temporal attention. From a thorough study of two different cities, we observe that AQuaMoHo can significantly help annotate the air quality data on a personal scale. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Author Keywords	Air quality monitoring; AQI annotation; feature analysis; sensing; thermo-hygrometer

Similar Articles

Id	Similarity	Authors	Title	Published
29876	0.88	Bachechi C.; Rollo F.; Po L.	Hypeair: A Novel Framework For Real-Time Low-Cost Sensor Calibration For Air Quality Monitoring In Smart Cities	Ecological Informatics, 81 (2024)
44298	0.872	Datta A.; Pal A.; Marandi R.; Chattaraj N.; Nandi S.; Saha S.	Real-Time Air Quality Predictions For Smart Cities Using Tinyml	ACM International Conference Proceeding Series (2024)
34734	0.866	Jiang X.	Large Scale Air-Quality Monitoring In Smart And Sustainable Cities	Smart Cities: Foundations, Principles, and Applications (2017)
53203	0.859	Qin X.; Do T.H.; Hofman J.; Rodrigo E.; Panzica V.L.M.; Deligiannis N.; Philips W.	Street-Level Air Quality Inference Based On Geographically Context-Aware Random Forest Using Opportunistic Mobile Sensor Network	ACM International Conference Proceeding Series, PartF171546 (2021)
21607	0.858	Daepp M.I.G.; Cabral A.; Ranganathan V.; Iyer V.; Counts S.; Johns P.; Roseway A.; Catlett C.; Jancke G.; Gehring D.; Needham C.; Von Veh C.; Tran T.; Story L.; D'Amone G.; Nguyen B.H.	Eclipse: An End-To-End Platform For Low-Cost, Hyperlocal Environmental Sensing In Cities	Proceedings - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022 (2022)
49184	0.858	Garrido-Hidalgo C.; Solmaz G.; Jacobs T.; Roda-Sanchez L.	Smart Beestricts: Improving The Spatial Resolution Of Air-Quality Data In Madrid Through Transfer Learning	International Journal of Geographical Information Science (2025)
16677	0.856	Thompson J.E.	Crowd-Sourced Air Quality Studies: A Review Of The Literature & Portable Sensors	Trends in Environmental Analytical Chemistry, 11 (2016)
51817	0.855	Han Y.; Li V.O.; Lam J.C.; Song S.; Mo T.	Smartcamairdetect: A Contrastive Approach For Probabilistic Ambient Air Pollution Estimation With Limited Images For Smart City Development	IEEE Access (2025)
24810	0.854	Meneses Albalá E.; Montalban Faet G.; Felici-Castell S.; Perez-Solano J.J.; Segura García J.; Roger Varea S.	Evaluation Of Low-Cost Air Quality Sensor Zphs01B As An Alternative For Deployment In Smart Cities	Proceedings of the 12th Euro-American Conference on Telematics and Information Systems, EATIS 2024 (2025)
10241	0.852	Xia S.; Xing T.; Chase Q.W.U.; Liu G.; Yang J.; Li K.	Aqmon: A Fine-Grained Air Quality Monitoring System Based On Uav Images For Smart Cities	ACM Transactions on Sensor Networks, 20, 2 (2024)