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
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;
Conference_Titel :
OCEANS 2010 IEEE - Sydney
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-5221-7
Electronic_ISBN :
978-1-4244-5222-4
DOI :
10.1109/OCEANSSYD.2010.5603827
