DocumentCode
2600231
Title
Automated assessment of data quality in marine sensor networks
Author
Timms, G.P. ; De Souza, P.A., Jr. ; Reznik, L.
Author_Institution
Tasmanian ICT Centre, CSIRO, Hobart, TAS, Australia
fYear
2010
fDate
24-27 May 2010
Firstpage
1
Lastpage
5
Abstract
Inference on aspects influencing data quality should be based on or derived from experience. In this work we implement a Fuzzy Set Theory approach to provide an assessment of data quality from a near-real time marine sensor network. The Fuzzy System firstly captures tacit knowledge using membership functions, and then uses these membership functions along with statistics derived from the data themselves to assess the quality of each measurement from the sensor network.
Keywords
fuzzy set theory; oceanographic techniques; Fuzzy Set Theory; Fuzzy System; data quality; marine sensor network; membership functions; Conductivity; Measurement uncertainty; Quality assessment; Temperature distribution; Temperature measurement; Temperature sensors; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS 2010 IEEE - Sydney
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-5221-7
Electronic_ISBN
978-1-4244-5222-4
Type
conf
DOI
10.1109/OCEANSSYD.2010.5603827
Filename
5603827
Link To Document