Title
Data Fusion in the Environmental Domain.
Abstract
Air quality and air pollution have a very large impact on human health. The sensitivity to different pollutants varies per person, therefore it is important that citizens can get personalised air quality information. The Personal Environmental Information System (PEIS) aims at delivering just that. The PEIS takes sensor data from several data providers and employs a service-oriented architecture to deliver these observations to the user through a smartphone application. The PEIS also uses scientific models to fuse the sensor data and create new, derived observations. To make scientific models that fuse sensor data fit better in a service-oriented architecture, a software framework called Fusion4Decision was developed. This framework is based on Open Geospatial Consortium standards and allows scientific models written in languages like MATLAB or R to be available as a web service.
Year
DOI
Venue
2013
10.1007/978-3-642-41151-9_7
IFIP Advances in Information and Communication Technology
Keywords
Field
DocType
air quality,open geospatial standards,environmental modelling,fusion
Information system,Data science,Geospatial analysis,Software engineering,Sensor fusion,Scientific modelling,Air quality index,Environmental science,Web service,Fuse (electrical),Software framework
Conference
Volume
ISSN
Citations 
413
1868-4238
1
PageRank 
References 
Authors
0.41
4
5
Name
Order
Citations
PageRank
Hylke van der Schaaf1144.11
Mike Kobernus210.41
Markus Falgenhauer384.85
Jasmin Pielorz4153.78
Kym Watson510718.40