Underwater Helmholtz Resonator with Double Cavities for Volumetric Estimation of Aquatic Samples
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- N. NJANE Stephen.
- Graduate School of Agriculture, Kyoto University
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- OGAWA Yuichi
- Graduate School of Agriculture, Kyoto University
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- SUZUKI Tetsuhito
- Graduate School of Agriculture, Kyoto University
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- OGATA Kohei
- Graduate School of Agriculture, Kyoto University
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- SHINOHARA Yoshiaki
- Fisheries and Technology Department, Kyoto Prefectural Agriculture, Forest and Technology Centre
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- KAWAMURA Tsuneo
- Graduate School of Agriculture, Kyoto University
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- NISHIZU Takahisa
- Laboratory of Food Processing and Chemistry, Department of Applied Life Science, Faculty of Applied Biological Sciences, Gifu University
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- KONDO Naoshi
- Graduate School of Agriculture, Kyoto University
Bibliographic Information
- Other Title
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- 二つの空洞部を持つ水中ヘルムホルツ共鳴器を用いた水産試料の体積推定
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Abstract
<p>Non-destructive estimation of aquatic products’ volume is important for efficient feed utilisation, and for determining the appropriate time for landing. To enable this, we propose a double cavity underwater Helmholtz resonator for precise aquatic products’ volume estimation. The fundamental principles were developed and the resonator consisting of the generating cavity and the sample cavity was fabricated. By attaching an underwater speaker to the generating cavity, sweep sound was generated and captured using the speaker’s impedance technique. Air, which is less dense than water, was inserted into the sample cavity to mimic aquatic samples of increasing volume. Resonance frequency decreased as air volume increased. A high linear correlation with an R2 of 0.99 between the actual and predicted volume was obtained.</p>
Journal
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- Journal of the Japanese Society of Agricultural Machinery and Food Engineers
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Journal of the Japanese Society of Agricultural Machinery and Food Engineers 81 (4), 233-242, 2019-07-01
Japanese Society of Agricultural Machinery and Food Engineers
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Details 詳細情報について
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- CRID
- 1390288215571595264
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- NII Article ID
- 130008047247
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- NII Book ID
- AA12654054
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- ISSN
- 21890765
- 2188224X
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- NDL BIB ID
- 029856529
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- Text Lang
- en
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed