posted on 2023-05-23, 12:01authored byDutta, R, Smith, D, Timms, GP
This research study focused on automatic sensor data annotation and visualisation of dynamic weather data acquired from a large sensor network. The aim was to develop a data visualisation method for CSIRO's South Esk hydrological sensor web to evaluate the overall network performance and provide visual data quality assessment. The visual data quality technique developed in this study could be applied to quality assurance of any sensor network.
History
Publication title
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Editors
M Palaniswami, C Leckie, S Kanhere, J Gubbi
Pagination
105-110
ISBN
978-1-4673-5500-1
Publisher
IEEE
Place of publication
Piscataway, United States
Event title
IEEE ISSNIP: Sensing the Future
Event Venue
Melbourne, Australia
Date of Event (Start Date)
2013-04-02
Date of Event (End Date)
2013-04-05
Rights statement
Copyright 2013 Commonwealth of Australia
Repository Status
Open
Socio-economic Objectives
Air quality, atmosphere and weather not elsewhere classified