Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Underwater Visualization for Fish Behaviour Model in the Towed Fisheries using Chaos Theory

혼돈이론을 응용한 예망어구에 대한 어류반응 행동모델의 수중현상 시각화

  • 박명철 (경상대학교 컴퓨터과학과) ;
  • 김용해 (경상대학교 해양생산학과, 컴퓨터정보통신연구소) ;
  • 하석운 (경상대학교 컴퓨터과학과)
  • Published : 2004.06.01
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Abstract

The prediction and its visualization on fish behaviour in relation to fishing gear are carried out based on field detection and observation during fishing operation. However, field observation is very difficult due to variable underwater environments and accordingly due to complex, chaotic response of fish behaviour in the physiological and ecological points. Therefore simple graphic display in previous results was not enough to represent real underwater images of the fishing gear and fish behaviour. In this study more actual visualization technique was developed using by previous fish behaviour model with chaos theory in order to predict, evaluate or analyse complex and non-linear phenomena of response patterns in complex fish behaviour. In addition, display of the fish finder was also designed to simulate the underwater fish detection and distribution in fishing ground. This suggested visualization tool was very similar to the information of the fish movement in the field observation in visual underwater reality and useful to check up between simulations and observations.

수중 어류의 행동이나 현상을 예측하여 시각화하기 위해서는 어류의 탐지와 어류반응행동의 파악이 우선 이루어져야 한다. 수중이라는 다변적인 환경요인이 현장 계측을 매우 어렵게 하거나 어류의 행동이 비선형적으로 복잡하고 혼돈스러우므로 기존의 단순한 그래픽처리는 실제 수중현상간의 차이를 극복하지 못해왔던 실정이다. 이에 본 논문에서는 매우 복잡 다양한 어류행동반응의 패턴에 대하여 기존의 연구에서 제안된 혼돈이론을 응용한 어류반응행동 모델을 이용하여 시각화 도구를 제안함으로써 수중의 어류이동현상을 예측하거나 평가, 또는 보다 더 정확히 분석하는 자료를 얻을 수 있게 구현하였다. 아울러, 어탐 디스플레이를 동시에 적용하여 사용자에게 반응에 따르는 어류의 탐지상황도 제공하였다. 제안된 시각화 도구를 평가하기 위하여 현장 계측된 어류의 이동 정보와 비교한 결과, 제안된 시각화 도구는 사실성 높은 어류 행동과 시각적인 이해도를 높일 수 있음을 확인 할 수 있었다.

Keywords

References

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