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Context- and situation prediction for the MyAQI urban air quality monitoring system
conference contribution
posted on 2019-01-01, 00:00 authored by D Schürholz, Arkady ZaslavskyArkady Zaslavsky, S Kubler© 2019, Springer Nature Switzerland AG. Predicting the time and place where concentrations of pollutants will be the highest is critical for air quality monitoring- and early-warning systems in urban areas. Much of the research effort in this area is focused only on improving air pollution prediction algorithms, disregarding valuable environmental- and user-based context. In this paper we apply context-aware computing concepts in the MyAQI system, to develop an integral air quality monitoring and prediction application, that shifts the focus towards the individual needs of each end-user, without neglecting the benefits of the latest air pollution forecasting algorithms. We design and describe a novel context and situation reasoning model, that considers external environmental context, along with user based attributes, to feed into the prediction model. We demonstrate the adaptability and customizability of the design and the accuracy of the prediction technique in the implementation of the responsive MyAQI web application. We test the implementation with different user profiles and show the results of the system’s adaptation. We demonstrate the prediction model’s accuracy, when using extended context for 4 air quality monitoring stations in the Melbourne Region in Victoria, Australia.
History
Event
Next Generation Wired/Wireless Networking & Internet of Things and Smart Spaces. Combined Conference (2019 : St. Petersburg, Russia)Volume
11660Series
Lecture Notes in Computer SciencePagination
77 - 90Publisher
SpringerLocation
St. Petersburg, RussiaPlace of publication
Berlin, GermanyPublisher DOI
Start date
2019-08-26End date
2019-08-28ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030308582Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
O Galinina, S Andreev, S Balandin, Y KoucheryavyTitle of proceedings
NEW2AN & ruSMART 2019 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, St. Petersburg, Russia, August 26–28, 2019, ProceedingsUsage metrics
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