Proceedings Papers
Similar Data Retrieval from Enormous Datasets on ELF/VLF Wave Spectrum Observed by Akebono
Authors:
Y Kasahara ,
Kanazawa University, Kakuma-machi, Kanazawa-shi, Ishikawa, 920-1192, Japan, JP
A Hirano,
Kanazawa University, Kakuma-machi, Kanazawa-shi, Ishikawa, 920-1192, Japan, JP
Y Takata
Kanazawa University, Kakuma-machi, Kanazawa-shi, Ishikawa, 920-1192, Japan, JP
Abstract
As the total amount of data measured by scientific spacecraft is drastically increasing, it is necessary for researchers to develop new computation methods for efficient analysis of these enormous datasets. In the present study, we propose a new algorithm for similar data retrieval. We first discuss key descriptors that represent characteristics of the VLF/ELF waves observed by the Akebono spacecraft. Second, an algorithm for similar data retrieval is introduced. Finally, we demonstrate that the developed algorithm works well for the retrieval of the VLF spectrum with a small amount of CPU load.
How to Cite:
Kasahara, Y., Hirano, A. and Takata, Y., 2010. Similar Data Retrieval from Enormous Datasets on ELF/VLF Wave Spectrum Observed by Akebono. Data Science Journal, 8, pp.PIGY55–IGY65. DOI: http://doi.org/10.2481/dsj.SS_IGY-002
Published on
12 Feb 2010.
Peer Reviewed
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