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Catching efficiency of biodegradable trammel net for swimming crab (Portunus trituberculatus) in the Yeonpyeong fishing ground of Korea (연평어장에서 생분해성 꽃게 삼중자망의 어획성능)

  • Kim, In-Ok;Lee, Gun-Ho;Cho, Sam-Kwang;Cha, Bong-Jin;Sohn, Byung-Kyu
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.48 no.4
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    • pp.322-336
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    • 2012
  • To study the catching efficiency of biodegradable trammel net for swimming crab (Portunus trituberculatus), three types (biodegradable, monofilament and multifilament) of trammel nets were used in the field test, and the tests were carried out 16 times with two different mesh sizes (105mm and 160mm) in the Yeonpyeong fishing ground of Korea, 2009~2011. The catching efficiency of three type nets was analyzed by catch in number, catch in weight and average weight per individual of small and large size swimming crab by net types and mesh sizes. Statistical T-test was also carried out to verify the efficiency between the three types of nets. The results are as follows. The catch in number of swimming crab was 24,667 and formed about 81.0% of total catch. Of all swimming crab catch, small swimming crabs with less than 64mm in carapace length which is a prohibited landing size by law formed 48.1%, larger swimming crabs with more than 64mm in carapace length which is a landing size formed 51.9%. In 105mm mesh size trammel net test, the catch share in number of small size swimming crab by biodegradable trammel net was 47.5% in comparison with multifilament trammel net and 74.2% in comparison with monofilament trammel net, so biodegradable trammel net has more protective effects on small size swimming crab than other types of trammel nets. The protective effects for small size swimming crab by biodegradable trammel net was 25.8~52.5% in comparison with other types of trammel nets. The catch share in weight of large size swimming crab by biodegradable trammel net was 98.3% in comparison with multifilament trammel net and 92.3% in comparison with monofilament trammel net, so biodegradable trammel net has a similar catch efficiency to multifilament trammel net. The results of 160mm mesh size trammel net test have shown similar results of 105mm mesh size trammel net test. This study shows that biodegradable trammel net is a more useful fishing gear than multifilament and monofilament trammel net because biodegradable trammel net has lower catch rate than other types of nets in small size swimming crab and similar catch rate than multifilament trammel net which is a well used net by fishermen.

Studies on the Behaviour of Fish Schools in the Main-net of a Large Scale Set-net Using Scanning Sonar - I - The Behaviour of Small Schools of Sardine Sardinops Melanosticta in the Main-net - (소나 관찰에 의한 대형정치망내 어군행동의 연구 - I - 입망한 정어리소형군의 행동 -)

  • 김문관
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.31 no.1
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    • pp.1-7
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    • 1995
  • The fish behavior survey in the main-net of a large scale-net was carried out in relation to the catching function of the set-net. at Kishihata set-net in Japan during the period from January 29th to February 22th 1992. The results obtained are summarized as follows; 1. The greatest number of schools observation in the main-net occurred between 17 : 00hrs and 18 : 00hrs. after which the schools suddenly disappeared. This result show that the schools did not stay in the main-net. but immediately moved through into the bag-net or left the main-net. 2. The course of movement of the small schools of sardine in the main-net was in a straight line to the slope-net. However. upon arrived at the slope-net the school turned around. away from the slope-net and went directly towards the playground. 3. The majority of small schools of sardine in the main-net were estimated to move with the mode velocity 25cm/sec. however the maximum velocity were recorded 80cm/sec.

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A study on the improvement of fishing system using miniaturized nets for anchovy boat seine to reduce the fleet size (선단축소형 권현망 어구를 적용한 조업시스템 개선 방안)

  • Young-Su AN;Bo-Yeon KIM;Youn-Hyoung CHO;Jong-Kap AHN
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.60 no.3
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    • pp.207-216
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    • 2024
  • This study conducted a marine experiment to improve the fishing system using miniaturized nets for anchovy boat seine to reduce the fleet size. As a result, the miniaturized net for anchovy boat seine properly opened the entrance of the bag net using the buoyancy of the flotation for position indication and the setting force of the ground rope without operating a separate fish detecting boat by attaching a large flotation at the entrances of the inside wing net and the bag net. This also enabled an operation type where the entrance of the bag net is confirmed using a flotation for position indication from a netting boat. The time and the number of people used for net casting and net hauling in the marine experiment were average of five minutes and 25-30 minutes, respectively, and 23-30 people for the existent net, while for the miniaturized large-scale net were average of three minutes and 23-25 minutes, respectively, and 19-25 people. This indicates that the operation time was shortened, the number of fish detecting boats was reduced by one boat, and the number of people for fishing work was decreased by four or five people due to the improvement of fishing operation system according to the reduction of fishing net size. As a result of measuring the shaft horsepower during net towing, the maximum net towing horsepower was 250 HP in comparison to the maximum RPM of the engine (1,200 RPM), indicating that the legal horsepower of 250 HP is enough to conduct net towing and the competitiveness of fishing using the net for anchovy boat seine is ensured through operation cost reduction.

A Study on the Prerequisite of the Net and Gross Area in General Hospital (종합병원의 순면적과 총면적 설정의 전제조건에 관한 연구)

  • Seong, Joon-Ho;Kim, Khil-Chae
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.18 no.1
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    • pp.53-60
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    • 2012
  • Spatial configuration of the building quality relationships and reasonable distribution of space by utilizing the Net and Gross area. Therefore this study prerequisite for to investigate of Net and Gross area calculation in general hospital. For this study method as follow. First, a case study internal and external of net and gross area composition. Further more study on the other architect type. Second, a case study measuring area method for general hospital in internal and external. Finally, base on the analysis results of the drawn a net and gross area composition in general hospital.

Hydrodynamic Resistance of Some Trawl Nets Being Used by M/S Saebada (새바다호에서 사용하는 트로올그물의 유체저항에 관하여)

  • KIM Jin-Kun
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.17 no.1
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    • pp.1-8
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    • 1984
  • The author carried out an experiment to determine the resistance of trawl net aboard M/S Saebada, training ship of National Fisheries University of Pusan, 2,275 G/T and 3,600ps. Total tension loaded on warp were measured by the recording tension meter. Resistance of the net is estimated by subtracting the resistance of otter boards and warps from the total tension. Coefficient k and exponent n of the formula on the trawl net deduced by Koyama, $R_N=k\frac{d}{l}abv^n$ were calculated from the resistance of the net obtained. The results obtained are can be summarized as follows : 1. Six seamed net with two net pendant k=11, n=1.8 2. Eight seamed net with three net pendant k=11, n=1.8 3. Ten seamed net with three net pendant k=9, n=1.9 4. Ten seamed net with four net pendant k=9, n=1.9

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A Study on Residual U-Net for Semantic Segmentation based on Deep Learning (딥러닝 기반의 Semantic Segmentation을 위한 Residual U-Net에 관한 연구)

  • Shin, Seokyong;Lee, SangHun;Han, HyunHo
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.251-258
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    • 2021
  • In this paper, we proposed an encoder-decoder model utilizing residual learning to improve the accuracy of the U-Net-based semantic segmentation method. U-Net is a deep learning-based semantic segmentation method and is mainly used in applications such as autonomous vehicles and medical image analysis. The conventional U-Net occurs loss in feature compression process due to the shallow structure of the encoder. The loss of features causes a lack of context information necessary for classifying objects and has a problem of reducing segmentation accuracy. To improve this, The proposed method efficiently extracted context information through an encoder using residual learning, which is effective in preventing feature loss and gradient vanishing problems in the conventional U-Net. Furthermore, we reduced down-sampling operations in the encoder to reduce the loss of spatial information included in the feature maps. The proposed method showed an improved segmentation result of about 12% compared to the conventional U-Net in the Cityscapes dataset experiment.

Simulation of fish reaction against cage net with an individual fish behaviour model (개체기반 어군행동모델을 이용한 가두리망 내의 양식 어류의 유영행동 시뮬레이션)

  • Hwang, Bo-Kyu;Shin, Hyeon-Ok
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.47 no.4
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    • pp.419-427
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    • 2011
  • Simulation technique for the fish behavior was applied to estimate fish school movement in the cage net. Individual-based fish behavior model (Huth and Wessel, 1991) was evaluated in a free area to understand the characteristics for the model, and the movement in the cage net was simulated by defining the fish reaction against the displacement of cage net. As a result, the distance to the net was not considerably changed and the space among fishes in cage net was slightly decreased by reducing the net space. Swimming area was, however, significantly affected by changing the net space and the relationship between swimming area and net displacement was theoretically estimated as y=-0.21x+1.02 ($R^2$=0.96). these results leads the conclusion that individual-based model was appropriated to describe the fish school reaction in the cage net and be able to use for evaluating the influence on cultured fish.

Model test on the net mouth shape of a gape net according to current speeds in Jindo area, Korea (전남 진도지역 낭장망의 유속에 따른 망구형상 변화에 관한 모형실험)

  • Kim, Seonghun;Lee, Donggil;Lim, Jihyun;Park, Seongwook
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.1
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    • pp.146-153
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    • 2015
  • A model net experiment of the gape net for anchovy in Jindo, Jeollanam-do was carried out to investigate the net shape and hydrodynamic resistance using circulating water channel. The model net was made 1/33 down scale by Tauti's similarity method and the range of experimental current speed was from 0.5 knot to 3.5 knot (increasing 0.5 knot interval). The net mouth height in 0.5 knot of the minimum experiment current speed was shown 26.0 cm (full-scale conversion value 8.58 m). The net mouth height and mouth area in 1.5 knot of the same current speed with a gape net fishing ground were shown 20.0 cm (full-scale conversion value : 6.60 m) and about $507.9cm^2$ (full-scale conversion value : $55.31m^2$). The net mouth height and area were decreased with increase the experimental current speed. The hydrodynamic resistance of the model net in 1.5 knot current speed was shown 1.11 kgf and the value of full-scale conversion by Tauti's method was shown 3.996 ton.

Multi-resolution DenseNet based acoustic models for reverberant speech recognition (잔향 환경 음성인식을 위한 다중 해상도 DenseNet 기반 음향 모델)

  • Park, Sunchan;Jeong, Yongwon;Kim, Hyung Soon
    • Phonetics and Speech Sciences
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    • v.10 no.1
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    • pp.33-38
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    • 2018
  • Although deep neural network-based acoustic models have greatly improved the performance of automatic speech recognition (ASR), reverberation still degrades the performance of distant speech recognition in indoor environments. In this paper, we adopt the DenseNet, which has shown great performance results in image classification tasks, to improve the performance of reverberant speech recognition. The DenseNet enables the deep convolutional neural network (CNN) to be effectively trained by concatenating feature maps in each convolutional layer. In addition, we extend the concept of multi-resolution CNN to multi-resolution DenseNet for robust speech recognition in reverberant environments. We evaluate the performance of reverberant speech recognition on the single-channel ASR task in reverberant voice enhancement and recognition benchmark (REVERB) challenge 2014. According to the experimental results, the DenseNet-based acoustic models show better performance than do the conventional CNN-based ones, and the multi-resolution DenseNet provides additional performance improvement.

A Feasibility Analysis on Steel Net Gabion Reinforcement of Reinforced Earth-retaining Wall (자연친화적인 보강토 옹벽의 철판망 gabion 보강재 타당성 분석)

  • Chung, Dae-Seouk
    • Journal of Environmental Science International
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    • v.17 no.2
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    • pp.135-140
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    • 2008
  • Steel net gabion is eco-friendly retaining wall structure showing favorable ability to overcome construction and environmental restriction and also to resist corrosion, chemical attack and degradation. This paper is dealt with the applicability of gabion metal net as a substitution of existing strengthening material. Pull out test was carried out to verify the applicability of gabion metal net. According to results, the increase of surcharge loading and horizontal load resulted in a yield of metal net. The stress at the time of yield was in the range of elasticity. Accordingly, gabion metal net can be substituted for existing geogrid and there is a need for experiment and analysis of arrangement direction and durability of gabion steel net.