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Catch Predictions for Pacific Anchovy Engraulis japonicus Larvae in the Yellow Sea
Dae Hyeon Kwon,Sun Do Hwang,Dong Hyun Lim 한국수산과학회 2012 Fisheries and Aquatic Sciences Vol.15 No.4
To predict catches of Pacific anchovy Engraulis japonicus larvae, anchovy eggs were collected in the coastal waters off Gunsan, Korea, in the Yellow Sea during the main spawning season (June to July) from 2003 to 2009. A ring net was repeatedly towed vertically at 10 stations during the daytime to sample eggs. Catch data estimated by auction sales were obtained from the Fisheries Cooperatives Union of Gunsan City and daily water temperature data in the outer harbor of Gunsan City during the survey periods were obtained from the National Oceanographic Research Institute. A significant relationship was found between anchovy egg density from June to July and larval catch from July to October in the same year. Catch of anchovy larvae in Gunsan were also high when optimal growth temperatures were recorded in the coastal waters off Gunsan in July. Although the recruitment success or failure of anchovy larvae can be predicted from variability in egg density, we suggest that mean daily water temperature is a more efficient indicator for predicting variability in catches of larval anchovy in the Yellow Sea.
Catch Predictions for Pacific Anchovy Engraulis japonicus Larvae in the Yellow Sea
Kwon, Dae-Hyeon,Hwang, Sun-Do,Lim, Donghyun The Korean Society of Fisheries and Aquatic Scienc 2012 Fisheries and Aquatic Sciences Vol.15 No.4
To predict catches of Pacific anchovy Engraulis japonicus larvae, anchovy eggs were collected in the coastal waters off Gunsan, Korea, in the Yellow Sea during the main spawning season (June to July) from 2003 to 2009. A ring net was repeatedly towed vertically at 10 stations during the daytime to sample eggs. Catch data estimated by auction sales were obtained from the Fisheries Cooperatives Union of Gunsan City and daily water temperature data in the outer harbor of Gunsan City during the survey periods were obtained from the National Oceanographic Research Institute. A significant relationship was found between anchovy egg density from June to July and larval catch from July to October in the same year. Catch of anchovy larvae in Gunsan were also high when optimal growth temperatures were recorded in the coastal waters off Gunsan in July. Although the recruitment success or failure of anchovy larvae can be predicted from variability in egg density, we suggest that mean daily water temperature is a more efficient indicator for predicting variability in catches of larval anchovy in the Yellow Sea.
강원도 양양 남대천에서 채집된 일본재첩, Corbicula (Corbicula) japonica Prime 의 수산자원학적 연구
권대현 ( Dae Hyeon Kwon ),강용주 ( Yong Joo Kang ),김완기 ( Wan Ki Kim ),이채성 ( Chae Sung Lee ) 한국수산과학회 2002 한국수산과학회지 Vol.35 No.6
N/A Samples of Corbicula (Corbicula) japonica Prime of Namdae Stream in Gsngnung were collected from November 2000 to Octorber 2001. Age of C. (C.) japonica was determined from the rings on the shell. The shell length of the samples ranged from 8 mm to 38 mm. The ring on the shell was formed once a year in March. Von Bertalanffy`s growth parameters were estimated using a nonlinear regression method, asymptotic shell length (L_∞) was 48.98 mm, K was 0.2042/year, theoretical age at 0 shell length (t_0) was 0.3169 year, and asymptotic total weight (W_∞) was 41.37g. The formula of allometry between shell length (L, mm) and total weight (W, g) of the brackish water clam was W=3.42×10^-4L^3. The annual survival rate was estimated at 0.3799, instantaneous coefficient of natural mortality was 0.5007/year, and instantaneous coefficient of fishing mortality was 0.4672/year, The age at first capture was estimated at 2.1593 year using shell length compositions of the brackish water clam. The current yield-per-recruit at 0.4672/year of fishing mortality was 0.6595g. F_0.1 was estimated at 0.1862/year. Acceptable biological catch was estimated at 14.4 metric ton.
스테레오 카메라를 활용한 자율 비행 UAV의 반투과성 장애물 인식 및 회피 시스템
권대현(Dae Hyeon Kwon),신수용(Soo Young Shin) 한국통신학회 2024 韓國通信學會論文誌 Vol.49 No.3
본 논문은 자율 비행 UAV가 철조망 울타리와 같은 반투과성 장애물을 인식하고 이를 회피하는 시스템을 제안한다. 제안하는 방식은 스테레오 카메라를 사용하여 Convolutional Neural Network (CNN) 기반의 객체 인식 알고리즘으로 장애물을 인식하고, Canny Edge Detection 등의 이미지 처리 기법을 사용하여 반투과성 장애물의 깊이 정보에서 배경을 제거함으로써, 장애물의 3차원 위치 정확도를 향상한다. 또한, 경로 계획 알고리즘 Fast-Planner와 통합하여 반투과성 장애물을 지도상에 투영하고 회피 경로를 생성하는 시스템을 구현한다. 실험 결과를 통해 제안하는 방법이 기존의 3D object detection과 비교하여 장애물의 위치 정확도를 향상시키고, 이를 통해 경로 계획 알고리즘이 회피 경로를 생성하는데 효과적임을 입증하였다. This paper proposes a system for autonomous UAVs to detect and navigate around semi-permeable obstacles, such as a wire fence. The proposed method employs a stereo camera to detect semi-permeable obstacles using a Convolutional Neural Network (CNN) based object detection algorithm and utilizes image processing techniques such as Canny Edge Detection to eliminate the background of obstacles. This enables precise decision of the three-dimensional position of obstacles through the utilization of the collected depth information. Additionally, the system incorporates the Fast-Planner, which is a path-planning algorithm, to map the semi-permeable obstacles and create avoidance trajectories. The experimental results validate the proposed method improves the precision of the obstacle location compared to conventional 3D object detection. In addition, it could be effective to generate the obstacle avoidance routes by the path planning algorithm.
권대현(Dae Hyeon Kwon),김지훈(Kim Ji Hun),신수용(Soo Young Shin) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
본 논문은 지정된 경로를 비행하며 조난자 수색 및 추적하는 무인 드론 시스템을 제안한다. 본 논문에서는 딥러닝 기반 객체 인식 알고리즘 YOLO(You Only Look Once)를 사용하여 실시간 영상으로부터 조난자를 검출하고, Depth 카메라를 사용하여 조난자와의 거리를 측정해 조난자를 실시간으로 추적하는 시스템을 ROS(Robot Operating System)를 통해 개발한다. 기존의 조난자 수색 시스템은 드론 전문가의 수동 제어로 이루어진다. 이러한 드론 전문가를 양성하는 것은 상당한 양의 비용과 시간이 필요하다는 단점이 있다. 본 논문에서 제안하는 방식은 무인으로 조난자를 수색함으로써 비용 절감과 시간 절약의 장점이 있다.
한국형 전력량계의 DLMS/COSEM 프로토콜 통신 과정 및 프레임 구조에 대한 연구
피대권(Dae-Kwon PI),한창현(Chang-Hyeon Han),박준영(Jun-Yeong Park),조수민(Su-Min Cho),송상현(Sang-Hyeon Song) 대한전기학회 2018 대한전기학회 학술대회 논문집 Vol.2018 No.11
정부는 2020년까지 대한민국 2,200만 가구에 AMI(Advanced Metering Infrastructure, 원격 검침 인프라)의 보급을 추진 중이다. 과거 단방향으로 가정의 전력량을 검침하던 방식에서, 현재는 AMI를 이용해 가정과 한전이 양방향 통신을 이용해 원격으로 전력량을 검침하는 방식으로 바뀌고 있다. 특히 이러한 기술의 근간을 이루는 통신 프로토콜은 DLMS/COSEM으로 IEC에서는 이를 전력량계 원격 검침을 위한 국제 표준으로 정의하였다. 하지만 한국형 전력량계에 DLMS/COSEM 통신을 적용한 구체적인 통신 과정 및 실제 프레임 예시 등을 알 수가 없어 DLMS/COSEM 프로토콜을 활용하기 어려웠다. 이에 본 논문에서는 DLMS/COSEM 통신 과정과 프레임 구조를 상세히 분석하여 전력량계에 DLMS/COSEM 통신을 활용하는데 도움을 주고자 한다.
청평 내수면에 서식하는 엷은재첩, Corbicula (Corbiculina) papyracea Heude 의 성장모수 측정
권대현 ( Dae Hyeon Kwon ),강용주 ( Yong Joo Kang ),김대희 ( Dae Hee Kim ) 한국수산과학회 2002 한국수산과학회지 Vol.35 No.6
N/A This study was to estimate population growth parameters of the freshwater bivalve, Corbicula (Corbiculina) papyracea (Heude) in Korea. Samples were collected from Jojong stream in Chungpyeong from September 1999 to August 2000. Ages were determined from the ring of shell. The shell length of the samples ranged from 4.2mm to 28.1mm . The ring on the surface of shell was formed once a year from January to March. Marginal increment analysis of shell rings indicated that annuli were formed in June. Spawning period was estimated to be May to August with a peak between June and July through fatness analysis, and thus rings were considered to be true annual marks. Von Bertalanffy`s growth parameter were estimated from a nonlinear method with the value of logical maximum shell length (L_∞) was 34.36 mm, K was 0.1531/year, logical age of shell length 0 (t_o) was -0.5246 year, and logical maximum total weight (Wx) was 11.42g.