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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39409

Title: An alignment approach to identify fish with encoding hydroacoustic signal to acoustics alphabet sequences.
Authors: Shih-Yen Ku;Hsueh-Jung Lu;Chi-Ting Tseng;Ker-Chau Li;Long-Jin Wu
Contributors: 國立臺灣海洋大學:環境生物與漁業科學學系
Keywords: target strength;echo sounder;tuna;1D sequences align-ment tool;alphabet design;Self Organizing Map algorithm
Date: 2011-06
Issue Date: 2016-12-09T08:24:54Z
Publisher: Journal of Marine Science and Technology
Abstract: ABSTRACT:1D sequence homologous alignment tool, like FastA (FASTALL)
[8] or BLAST (Basic Local Alignment Search Tool) [1],
has been widely used in bioinformatics field and perform
elegant and fast searching for the sequences developed from
the same kinds of species. In other word, it can classify
through determining the homologous similarity which is not
totally similar in sequences of protein sequences, structure or
nucleotide sequences. An approach is proposed in this paper
called AA-FAST (abbreviation for Acoustics Alphabet-FAST)
which takes advantage of alignment tool and significant sequence
encoding method. In this experiment, it could not only
determine 4 fish species with similar size and shape but also
the motion of them with identical alignment matrix. Besides,
it shows that the position containing higher similarity encoding
sequence fragment is related to the position of specific fish
species and the acoustic features of specific fish species.
Other purpose of this paper is to demonstrate how a bioinformatics
tool could be applied to the acoustic field.
Relation: 19(3), pp.322-329
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39409
Appears in Collections:[環境生物與漁業科學學系] 期刊論文

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