| Project/Area Number |
01550334
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
計測・制御工学
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| Research Institution | Kyoto Institute of Technology |
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Principal Investigator |
SANNOMIYA Nobuo Kyoto Inst. of Tech. Faculty Professor of Engineering and Design, 工芸学部, 教授 (60026044)
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| Co-Investigator(Kenkyū-buntansha) |
MATUDA Ko Tokyo Univ. of Fisheries Professor, 水産学部, 教授 (90026485)
NAKAMINE Hiroshi Kyoto Inst. of Tech. Faculty Instructor of Engineering and Design, 工芸学部, 助手 (70217826)
HIGUCHI Seihaku Kyoto Inst. of Tech. Faculty Associate of Engineering and Design Professor, 工芸学部, 助教授 (90029455)
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| Project Period (FY) |
1989 – 1990
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| Project Status |
Completed (Fiscal Year 1990)
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| Budget Amount *help |
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1990: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1989: ¥1,700,000 (Direct Cost: ¥1,700,000)
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| Keywords | Modeling / Simulation / Parameter estimation / Image sequence Processing / Fish behavior / Water tank experiment |
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| Research Abstract |
1. An outdoor water tank experiment was made ao Oizumi Training Station of Tokyo University of Fisheries by using rainbow trout. The observation data of fish behavior was recorded by video tapes.
2. An inner water tank experiment was made at Tokyo University of Fisheries by using Japanese dace in order to investigate the fish behavior in a broader space (5mX5m).
3. The video image data was transformed into the time-series data of the position and the velocity of each individual in the school. The time-series data of the size and the direction of fish school was also obtained.
4. In order to obtain the time-series data from the video image data, a partly automatic operation scheme was developed. According to the experimental result for bitterling, the automatic operation rate was 98% for a single fish, and 83% for two fishes, which shows the effectiveness for the proposedscheme.
5. A mathematical model of fish behavior was constructed under an assumption that the schooling behavior of fish can be decomposed into two components. One is the motion of a representative of the school and is expressed by a physical model. The other is the variation of the school form and is expressed by an autoregressive model. The validity of the proposed model was examined from the result of computer simulation.
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