Title page for etd-0125108-162908


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URN etd-0125108-162908
Author Ying-Wei Tsai
Author's Email Address No Public.
Statistics This thesis had been viewed 5584 times. Download 2286 times.
Department Undersea Technology
Year 2007
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Performance Evaluation of Identification Methods
for the Stress Calls of Squirrelfishes(Pisces:Holocentridae)
Date of Defense 2007-12-18
Page Count 122
Keyword
  • Stepwise Discriminant
  • Analysis of Variance
  • Kolmogorov-Smirnov Test
  • Holocendridae
  • Back-propagation
  • Abstract In the study of sound identification, land animals such as birds and bats have been well investigated, and so are their habitats. On the other hand, sound making creatures in the ocean are much less researched. In this research, the stress calls of three Holocentridaes, Neoniphon sammara, Myripristis murdjan, and Sargocentron spinosissimum, who are commonly found in coral reefs, were recorded in water tank for analysis of sound characteristics. The averaged characteristic parameters of single pulse among three is around 410 Hz for the peak frequency, 100 Hz for the bandwidth, 0.07 dB/Hz for the slope, and duration of 0.05 s. As for the impulse train, averaged peak frequency is 415 Hz, 55 Hz for the bandwidth, 0.07 dB/Hz for the slope, and duration of 0.5 s. These parameters were first checked by the Kolmogorov-Smirnov Test to identify if each parameter follows normal distribution; the slopes of ascending and descending frequency and the total duration are not in normal distribution. The three parameters were later transferred so as to concentrate variances. Next, analysis of variance was applied on all characteristics to extract the significant parameters (including non transferred and transferred data), which were then tested by Stepwise Discriminat and Back-propagation Network. The identification rate of for single pulse with and without data transfer is 63% and 82% while pulse train is 57% and 73%. Both identification rates were raised up approximately 20% due to the data transfer. Both methods provide an reliable tool for marine sound identification, and the whole process of the study may be applied to another biological identification.
    Advisory Committee
  • Yang, Shiuh-Kuang - chair
  • Hin-Kiu Mok - co-chair
  • Ruey-Chang Wei - advisor
  • Files
  • etd-0125108-162908.pdf
  • indicate access worldwide
    Date of Submission 2008-01-25

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