期刊
ECOLOGICAL INFORMATICS
卷 5, 期 3, 页码 153-166出版社
ELSEVIER
DOI: 10.1016/j.ecoinf.2010.02.003
关键词
Acoustics; Data stream; Ensemble; Pattern recognition; Remote sensing; Time series analysis
类别
资金
- U.S Department of the Navy, Office of Naval Research [N00014-01-1-0744]
- National Science Foundation [EIA-0130724, ITR-0313142, CCF 0523449]
- Michigan State University
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data streams and transmitted over computer networks for storage and processing at observatories or to evoke an immediate response from an autonomic computer system. However, such automated collection of sensor data produces an immense quantity of data that is time consuming to organize, search and distill into meaningful information. In this paper, we explore the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meaningful sequences, called ensembles, from acoustic data streamed from natural areas. Our goal is automated detection and classification of various species of birds (C) 2010 Elsevier B V All rights reserved
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