Journal ArticleDOI
Predicting Spatio-Temporal Phenomena of Mobile Resources in Sensor Cloud Infrastructure
TLDR
This work considers a scenario when sensing requests are originated from sensor aware applications that are host aware and when the applications themselves are not sensor aware.Abstract:
Integration of sensor and cloud technologies enable distributed sensing and data collection. We consider a scenario when sensing requests are originated from sensor aware applications that are host...read more
Citations
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The rise of low-cost sensing for managing air pollution in cities
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
TL;DR: In this article, the authors illustrate the drivers behind current rises in the use of low-cost sensors for air pollution management in cities, whilst addressing the major challenges for their effective implementation.
Journal ArticleDOI
Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions
TL;DR: In this article , the authors conduct a thorough survey by examining the origins of the sensor-cloud and provide an in-depth and comprehensive discussion of these three key challenges, namely reliability, energy, and heterogeneity.
References
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Journal ArticleDOI
The rise of low-cost sensing for managing air pollution in cities.
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
TL;DR: The drivers behind current rises in the use of low-cost sensors for air pollution management in cities are illustrated, while addressing the major challenges for their effective implementation.
Proceedings ArticleDOI
DNN-based prediction model for spatio-temporal data
TL;DR: A Deep-learning-based prediction model for Spatio-Temporal data (DeepST), which is comprised of two components: spatio-temporal and global, and built on a real-time crowd flow forecasting system called UrbanFlow1.
Proceedings ArticleDOI
Next place prediction using mobility Markov chains
TL;DR: This work extends a mobility model called Mobility Markov Chain in order to incorporate the n previous visited locations and develops a novel algorithm for next location prediction based on this mobility model that is coined as n-MMC.
Proceedings ArticleDOI
iBAT: detecting anomalous taxi trajectories from GPS traces
TL;DR: An Isolation-Based Anomalous Trajectory (iBAT) detection method is proposed and the potential of iBAT in enabling innovative applications is demonstrated by using it for taxi driving fraud detection and road network change detection.
Journal ArticleDOI
Deriving high-resolution urban air pollution maps using mobile sensor nodes
David Hasenfratz,Olga Saukh,Christoph Walser,Christoph Hueglin,Martin Fierz,Tabita Arn,Jan Beutel,Lothar Thiele +7 more
TL;DR: This paper analyzes one of the largest spatially resolved UFP data set publicly available today containing over 50 million measurements and achieves a 26% reduction in the root-mean-square error-a standard metric to evaluate the accuracy of air quality models-of pollution maps with semi-daily temporal resolution.