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Dynamic annotation and visualisation of the South Esk hydrological sensor web

Citation

Dutta, R and Smith, D and Timms, GP, Dynamic annotation and visualisation of the South Esk hydrological sensor web, Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2-5 April 2013, Melbourne, Australia, pp. 105-110. ISBN 978-1-4673-5500-1 (2013) [Refereed Conference Paper]


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Copyright Statement

Copyright 2013 Commonwealth of Australia

Official URL: http://ieeexplore.ieee.org/document/6529773/

DOI: doi:10.1109/ISSNIP.2013.6529773

Abstract

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.

Item Details

Item Type:Refereed Conference Paper
Keywords:dynamic visualisation, sensor web, weather station, time series catalogue, interpolated 3D surface
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Modelling and simulation
Objective Division:Environmental Management
Objective Group:Air quality, atmosphere and weather
Objective Field:Air quality, atmosphere and weather not elsewhere classified
UTAS Author:Timms, GP (Dr Gregory Timms)
ID Code:116707
Year Published:2013
Deposited By:Engineering
Deposited On:2017-05-17
Last Modified:2017-06-21
Downloads:151 View Download Statistics

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