Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
Usage patterns of collaborative tagging systems
Journal of Information Science
Towards an Acoustic Environmental Observatory
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Monitoring frog communities: an application of machine learning
IAAI'96 Proceedings of the eighth annual conference on Innovative applications of artificial intelligence
Editorial: Special section: Data management for eScience
Future Generation Computer Systems
Hybrid Computing-Where HPC meets grid and Cloud Computing
Future Generation Computer Systems
Birdsong recognition using backpropagation and multivariatestatistics
IEEE Transactions on Signal Processing
Parametric Representations of Bird Sounds for Automatic Species Recognition
IEEE Transactions on Audio, Speech, and Language Processing
Trust in collaborative web applications
Future Generation Computer Systems
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Monitoring environmental health is becoming increasingly important as human activity and climate change place greater pressure on global biodiversity. Acoustic sensors provide the ability to collect data passively, objectively and continuously across large areas for extended periods. While these factors make acoustic sensors attractive as autonomous data collectors, there are significant issues associated with large-scale data manipulation and analysis. We present our current research into techniques for analysing large volumes of acoustic data efficiently. We provide an overview of a novel online acoustic environmental workbench and discuss a number of approaches to scaling analysis of acoustic data; online collaboration, manual, automatic and human-in-the loop analysis.