Managing and analysing big audio data for environmental monitoring
Zhang, Jinglan, Huang, Kai, Cottman-Fields, Mark, Truskinger, Anthony, Roe, Paul, Duan, Shufei, Dong, Xueyan, Towsey, Michael, & Wimmer, Jason (2013) Managing and analysing big audio data for environmental monitoring. In Proceedings of the 2013 IEEE 16th International Conference on Computational Science and Engineering (CSE 2013), IEEE, Sydney, Australia, pp. 997-1004.
Environmental monitoring is becoming critical as human activity and climate change place greater pressures on biodiversity, leading to an increasing need for data to make informed decisions. Acoustic sensors can help collect data across large areas for extended periods making them attractive in environmental monitoring. However, managing and analysing large volumes of environmental acoustic data is a great challenge and is consequently hindering the effective utilization of the big dataset collected. This paper presents an overview of our current techniques for collecting, storing and analysing large volumes of acoustic data efficiently, accurately, and cost-effectively.
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|Item Type:||Conference Paper|
|Keywords:||acoustic sensing, acoustic data analysis, big data management and processing, environmental monitoring, visualization, citizen science, eScience|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2013 IEEE|
|Deposited On:||24 Mar 2014 23:36|
|Last Modified:||26 Mar 2014 05:07|
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