• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.429-434
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• 2007

This paper presents an experimental and parametric study of a biomimetic fish robot actuated by the Lightweight Piezo-composite Actuator(LIPCA). The biomimetic aspects in this work are the oscillating tail beat motion and shape of caudal fin. Caudal fins that resemble fins of BCF(Body and Caudal fin) mode fish were made in order to perform parametric study concerning the effect of caudal fin characteristics on thrust production at an operating frequency range. The observed caudal fin characteristics are the shape, area, and aspect ratio. It was found that a high aspect ratio caudal fin contributes to high swimming speed. The fish robot was propelled by artificial caudal fins shaped after thunniform-fish and mackerel caudal fins, which have relatively high aspect ratio, produced swimming speed as high as 2.364 cm/s and 2.519 cm/s, respectively, for 300 Vpp input voltage excited at 0.9 Hz. Thrust performance of the biomimetic fish robot was examined by Strouhal number, Froude number, Reynolds number, and Net forward force.

• Smart Structures and Systems
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• 제10권6호
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• pp.501-515
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• 2012

We design and test a shape memory alloy (SMA)-based actuation system that can be used to propel a fish robot. The actuator in the system is composed of a 0.1 mm diameter SMA wire, a 0.5 mm-thick glass/epoxy composite strip, and a fixture frame. The SMA wire is installed in a pre-bent composite strip that provides initial tension to the SMA wire. The actuator can produce a blocking force of about 200 gram force (gf) and displacement of 3.5 mm at the center of the glass/epoxy strip for an 8 V application. The bending motion of the actuator is converted into the tail-beat motion of a fish robot through a linkage system. The fish robot is evaluated by measuring the tail-beat angle, swimming speed, and thrust produced by the tail-beat motion. The tail-beat angle is about $20^{\circ}$, the maximum swimming speed is about 1.6 cm/s, and the measured average thrust is about 0.4 gf when the fish robot is operated at 0.9 Hz.

• 대한기계학회논문집A
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• 제31권1호
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• pp.36-42
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• 2007

This paper presents mechanical design, fabrication and test of a biomimetic fish robot actuated by a unimorph piezoceramic actuator, LIPCA(Lightweight Piezo-Composite curved Actuator.) We have designed a linkage mechanism that can convert bending motion of the LIPCA into the caudal fin movement. This linkage system consists of a rack-pinion system and four-bar linkage. Four types of artificial caudal fins that resemble caudal fin shapes of ostraciiform subcarangiform, carangiform, and thunniform fish, respectively, are attached to the posterior part of the robotic fish. The swimming test under 300 $V_{pp}$ input with 0.6 Hz to 1.2 Hz frequency was conducted to investigate effect of tail beat frequency and shape of caudal fin on the swimming speed of the robotic fish. At the frequency of 0.9 Hz, the maximum swimming speeds of 1.632 cm/s, 1.776 cm/s, 1.612 cm/s and 1.51 cm/s were reached for fish robots with ostraciiform, subcarangiform carangiform and thunniform caudal fins, respectively. The Strouhal number, which means the ratio between unsteady force and inertia force, or a measure of thrust efficiency, was calculated in order to examine thrust performance of the present biomimetic fish robot. The calculated Strouhal numbers show that the present robotic fish does not fall into the performance range of a fast swimming robot.

• Fisheries and Aquatic Sciences
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• 제25권3호
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• pp.151-157
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• 2022

Various approaches have been applied to transform aquaculture from a manual, labour-intensive industry to one dependent on automation technologies in the era of the fourth industrial revolution. Technologies associated with the monitoring of physical condition have successfully been applied in most aquafarm facilities; however, real-time biological monitoring systems that can observe fish condition and behaviour are still required. In this study, we used a video recorder placed on top of a fish tank to observe the swimming patterns of rock bream (Oplegnathus fasciatus), first one fish alone and then a group of five fish. Rock bream in the video samples were successfully identified using the you-only-look-once v3 algorithm, which is based on the Darknet-53 convolutional neural network. In addition to recordings of swimming behaviour under normal conditions, the swimming patterns of fish under abnormal conditions were recorded on adding an anaesthetic or lowering the salinity. The abnormal conditions led to changes in the velocity of movement (3.8 ± 0.6 cm/s) involving an initial rapid increase in speed (up to 16.5 ± 3.0 cm/s, upon 2-phenoxyethanol treatment) before the fish stopped moving, as well as changing from swimming upright to dying lying on their sides. Machine learning was applied to datasets consisting of normal or abnormal behaviour patterns, to evaluate the fish behaviour. The proposed algorithm showed a high accuracy (98.1%) in discriminating normal and abnormal rock bream behaviour. We conclude that artificial intelligence-based detection of abnormal behaviour can be applied to develop an automatic bio-management system for use in the aquaculture industry.

• 수산해양기술연구
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• 제40권1호
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• pp.37-46
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• 2004

제주도 연안 정치망 조업 시스템 개량과 개발분야에서 연안해역에서 널리 사용되고 있는 각망어구의 구조개량을 위한 기초연구로서 현재 사용되고 있는 실물망을 1/20로 축소하여 개량된 입구 구조를 갖춘 모형 어구 8종류를 제작하고, 실험 수조에서 고등어 어군을 이용하여 모형 어구에 대한 어군의 입 ${\cdot}$ 출망 행동을 관찰 분석하였는데, 그 결과는 다음과 같다. 1. 원통그물내에서의 어군의 행동 패턴은 원형 모양으로 한쪽 원통그물내에 체류하는 행동과 긴 타원형 모양으로 좌 ${\cdot}$ 우 원통그물내를 왕복 유영하는 행동패턴으로 분류할 수 있었다. 2. 모형 어구 내에서의 고등어 어군의 평균 유영 속도는 원통 그물 중간 부분에서 24.9cm/sec, 오른쪽 원통그물내에서 12.6cm/sec, 입구에서 32.0cm/sec였다. 3. 어군의 입망율은 경과 시간 60초일 때 표준 모형 어구에서는 47%였고, 깔대기 그물이 길이가 35cm 의 모형 어구에서는 40%로 나타났는데, 양자의 차이는 7% 정도로 그다지 크지 않았다. 4. 어군의 출망율은 경과 시간 60초일 때 표준 모형 어구에서는 69%였고, 깔대기 그물의 길이가 35cm 의 모형 어구에서는 10%로 나타났는데, 양자의 차이는 59% 정도로 그 폭이 컸다. 5. 어군의 잔여율은 경과 시간 60초일 때 표준 모형 어구에서는 31%였고, 깔대기 그물의 길이가 35cm의 모형 어구에서는 90%로 나타났는데, 양자의 차이는 59% 정도였다.

• Fisheries and Aquatic Sciences
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• 제5권3호
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• pp.212-218
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• 2002

The response behavior of a fish school to an approaching vessel was observed using scanning sonar. The evaluation using six parameters, which signify characteristics of school shape and behavior by sonar image processing, was proposed. Ten fish schools were analyzed and among them, three fish schools were identified for their changing shape, swimming direction, and swimming speed. Moreover, by tracing fish schools on stack of sonar images, these fish schools were seen to exhibit an apparent change of school shape and behavior. Therefore, the evaluation method of fish school behavior using six characteristic parameters indicating fish school shape and behavior by sonar image processing is useful.

• 제어로봇시스템학회논문지
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• 제18권10호
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• pp.928-933
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• 2012

In this paper, the IR and compass sensors for the underwater system were used. The walls of the water tank have been recognized and avoided treating the walls as obstacles by the bio-mimetic underwater robot. This paper is consists of two parts: 1.The hardware part for the IR and compass sensors and 2.The software part for obstacle avoidance algorithm while the bio-mimetic robot is swimming with the obstacle recognition. Firstly, the hardware part controls through the RS-485 communications between a microcontroller and the bio-mimetic underwater robot. The software part is simulated for obstacle recognition and collision avoidance based upon the data from IR and compass sensors. Actually, the bio-mimetic underwater robot recognizes where is the obstacle as well as where is the bio-mimetic robot itself while it is moving in the water. While the underwater robot is moving at a constant speed recognizing the wall of water tank as an obstacle, an obstacle avoidance algorithm is applied for the wall following swimming based upon the IR and compass sensor data. As the results of this research, it is concluded that the bio-mimetic underwater robot can follow the wall of the water tank efficiently, while it is avoiding collision to the wall.

• 수산해양기술연구
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• 제46권4호
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• pp.449-457
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• 2010

This study shows that the vertical migration speed of sound scattering layers (SSLs), which is distributed in near Funka Bay, were measured by 3D velocity components acquired from a bottom moorng ADCP. While the bottom mooring type has a problem to measure the velocity vectors of sound scattering layer distributed near to surface, both the continuous vertical migration patterns and variability of backscatterers were routinely investigated as well. In addition, the velocity vectors were compared with the vertical migration velocity estimated from echograms of Mean Volume Backscattering Strength, and estimated to produce observational bias due to SSLs which is composed of backscatterers such as euphausiids, nekton, and fishes have swimming ability.

• 수산해양기술연구
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• 제31권4호
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• pp.326-339
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• 1995

이 연구에서는 전보에서 어군의 유영공간을 3차원으로 고려하여 제안한 어군행동을 나타내는 수치 모델의 타당성을 검토하기 위하여 수치 모델의 잔차에 대한 백색성검정 및 실험과 시뮬레이션에 의한 결과를 비교하는 두 가지 방법을 사용하였다. 모형 그물이 없는 경우와 모형 그물이 있는 경우 모두 잔치의 평균이 0에 가까우며, 그 표준편차는 대체로 $\pm$7 이내로서 잔차의 거동이 안정된 것으로 나타났다. 또한, 개체수가 5마리 이상이고 유속이 20cm/sec 이하인 경우에는 수치 모델에 의한 잔차의 자기상관함수가 95%의 유음수준에서 유음한 것으로 나타났으므로, 잔차는 백색잡음의 양상으로 나타나는 것으로 볼 수 있으며, 이 수치 모델은 대체로 타당한 것으로 간주할 수 있다. 실험과 시뮬레이션에 의한 결과에 대하여 어군의 유영특성을 나타내는 지표로서 유영궤적, 수조벽과 개체 사이의 거리, 유영속도, 유영 깊이, 개체상호간의 최근접거리 등을 비교하면, 실험과 시뮬레이션에 의한 결과가 완전히 일치하지는 않으나 대체로 그 경향이 유사한 것으로 나타났다. 이상의 결과에서 어군의 유영공간을 3차원으로 고려하여 유속의 변화에 따른 어군행동의 추정이 어느 정도 가능해짐으로서, 앞으로 보다 발전된 모델링 기법을 도입하면 현장에서의 적용가능성이 있을 것으로 생각된다. 그러나, 이러한 일련의 연구에서는 실험의 편의를 위하여 시간의 변화에 따른 유향과 유속의 변화를 고려하지 않고 일정 방향의 일정 유속만을 고려하였기 때문에, 현장에서의 적용을 위해서는 환경요인, 공간상의 환경조건 및 어군의 규모에 의한 차이 등 해결해야 할 문제점이 많이 남아 있다. 현단계에서의 과제는 축양장과 같은 제한된 공간에서의 어군행동의 예측, 제어등이 가능하도록 모델링에 관한 연구가 계속되어야 할 것이다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.768-772
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• 2009

This paper proposes a method for measurement three-dimensional trajectories of bubbles generated around a swimmer's arms from stereo high-speed camera videos. This method is based on two techniques: two-dimensional trajectory estimation in single-camera images and trajectory pair matching in stereo-camera images. The two-dimensional trajectory is estimated by block matching using similarity of bubble shape and probability of bubble displacement. The trajectory matching is achieved by a consistensy test using epipolar constraint in multiple frames. The experimental results in two-dimensional trajectory estimation showed the estimation accuracy of 47% solely by the general optical flow estimation, whereas 71% taking the bubble displacement into consideration. This concludes bubble displacement is an efficient aspect in this estimation. In three-dimensional trajectory estimation, bubbles were visually captured moving along the flow generated by an arm; which means an efficient material for swimmers to swim faster.