http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
다시점 연속 이미지를 통한 다관절 소동물의 3 차원 관절 위치 추정
황상철(Sangchul Hwang),최영(Young Choi) (사)한국CDE학회 2014 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2014 No.8
The research field that analyzes human and animal motion is a newly growing field of study. It is widely applied in a range of areas, from the logistics industry and space exploration to individuals’ overall living environment, such as home appliances and animation. However, systematic analysis of the gait behavior of small animals is not prevalent in the literature. In most biomimetic robot research, the analysis of the behavior of living things is performed cognitively using two-dimensional images or videos obtained through high-speed photography or microscopy, based on biological knowledge. The objective of this study is to develop a system to estimate the continuous pose of small-articulated animals using a three-dimensional skeleton model of the animal from a multi-view video sequence. It includes the extraction of the extremity and root of each leg and the calculation of joint kinematics using the forward and backward reaching inverse kinematics (FABRIK) algorithm that uses the extracted extremity and root. Also, we made correction according to the link lengths, and the positions of the middle joints were estimated.
다시점 연속 이미지 기반 절지동물의 3 차원 관절 자세 추정
황상철(Sangchul Hwang),최영(Young Choi) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.동계
The study of biomimetic robots of small animals such as lizards and arthropods has been actively carried out. However, negligible research has been conducted on the systematic analysis of the gait behavior of small animals. Currently, Motion analysis of most living creatures is conducted by the motion capture system using the optical marker. However, the optical motion capture systems are inapplicable to small animals because of the difficulty in attaching optical markers to them. To solve this problem, markerless motion capture is being researched, but most studies of this type are performed on human subjects. Therefore, to apply a markerless motion capture technology to insects that have many legs and a high degree of freedom, more studies are required. In this paper, we propose a method to calculate the continuous pose of small-articulated animals using a three-dimensional skeleton model of the animal and multiple view video sequence. This includes the extraction of the initial skeleton model and estimation of the extremity and root of each leg, we also calculate the joint kinematics using the forward and backward reaching inverse kinematics (FABRIK) method and generate the optimal skeleton model through the correction method using the skeleton images. The method developed in this study will contribute to better understand the gait behavior of small-articulated animals.
고빈도 자료기반 유입 수온 예측모델 개발 및 기후변화에 따른 대청호 성층강도 변화 예측
한종수 ( Jongsu Han ),김성진 ( Sungjin Kim ),김동민 ( Dongmin Kim ),이사우 ( Sawoo Lee ),황상철 ( Sangchul Hwang ),김지원 ( Jiwon Kim ),정세웅 ( Sewoong Chung ) 한국환경영향평가학회 2021 환경영향평가 Vol.30 No.5
댐 저수지 수온성층은 수직혼합을 억제하여 저층의 빈산소층 형성과 퇴적물 영양염류 용출을 일으키는 원인이므로 미래 기후변화에 따른 저수지 성층구조의 변화는 수질 및 수생태 관리 측면에서 매우 중요하다. 본 연구의 목적은 대청댐 저수지를 대상으로 고빈도 자료기반의 통계적 저수지 유입 수온 예측 모델을 개발하고, RCP(Representative Concentration Pathways) 기후변화 시나리오를 고려한 미래 유입수온변화와 대청호 성층구조의 변화를 예측하는 데 있다. 대청호 유입 수온 예측을 위해 개발한 Random Forest 회귀 예측모델(NSE 0.97, RMSE 1.86℃, MAPE 9.45%)은 실측 수온의 통계량과 변동성을 적절히 재현하였다. 지역 기후 모델(HadGEM3-RA)로 예측된 RCP 시나리오별 미래 기상자료를 Random Forest 모델에 입력하여 유입 수온을 예측하고 3차원 저수지 수리 모델을 이용하여 기후변화에 따른 대청호의 미래(2018~2037, 2038~2057, 2058~2077, 2078~2097) 수온성층 구조 변화를 예측하였다. 예측결과, 미래 기후 시나리오별로 대기 온도와 저수지 유입 수온의 증가속도는 각각 0.14~0.48℃/10year와0.21~0.43℃/10year의 범위로써 지속적으로 증가하였다. 계절별 분석 결과, RCP 2.6 시나리오의 봄과 겨울철을 제외한 모든 시나리오에서 유입 수온은 증가 경향이 통계적으로 유의하였으며, 탄소저감 노력이 약한 기후 시나리오로 갈수록 수온의 증가속도가 빨랐다. 저수지 표층 수온의 증가속도는 0.04~0.38℃/10year 범위였으며, 모든 시나리오에서 성층화 기간이 점진적으로 증가되었다. 특히 RCP 8.5 시나리오 적용 시 성층일수는 약 24일 증가하는 것으로 전망되었다. 연구 결과는 기후변화가 호소의 성층강도를 강화하고 성층형성 기간을 장기화한다는 선행연구 결과와 일치하며, 수온성층의 장기화는 저층 빈산소층 확대, 퇴적물-수체간 영양염류 용출량 증가, 수체 내 조류 우점종의 변화 등 수생태계 변화를 유발할 수 있음을 시사한다. Since the thermal stratification in a reservoir inhibits the vertical mixing of the upper and lower layers and causes the formation of a hypoxia layer and the enhancement of nutrients release from the sediment, changes in the stratification structure of the reservoir according to future climate change are very important in terms of water quality and aquatic ecology management. This study was aimed to develop a data-driven inflow water temperature prediction model for Daecheong Reservoir (DR), and to predict future inflow water temperature and the stratification structure of DR considering future climate scenarios of Representative Concentration Pathways (RCP). The random forest (RF)regression model (NSE 0.97, RMSE 1.86°C, MAPE 9.45%) developed to predict the inflow temperature of DR adequately reproduced the statistics and variability of the observed water temperature. Future meteorological data for each RCP scenario predicted by the regional climate model (HadGEM3-RA) was input into RF model to predict the inflow water temperature, and a three-dimensional hydrodynamic model (AEM3D) was used to predict the change in the future (2018~2037, 2038~2057, 2058~2077, 2078~2097) stratification structure of DR due to climate change. As a result, the rates of increase in air temperature and inflow water temperature was 0.14~0.48°C/10year and 0.21~0.41°C/10year,respectively. As a result of seasonal analysis, in all scenarios except spring and winter in the RCP 2.6, the increase in inflow water temperature was statistically significant, and the increase rate was higher as the carbon reduction effort was weaker. The increase rate of the surface water temperature of the reservoir was in the range of 0.04~0.38°C/10year, and the stratification period was gradually increased in all scenarios. In particular, when the RCP 8.5 scenario is applied, the number of stratification days is expected to increase by about 24 days. These results were consistent with the results of previous studies that climate change strengthens the stratification intensity of lakes and reservoirs and prolonged the stratification period, and suggested that prolonged water temperature stratification could cause changes in the aquatic ecosystem, such as spatial expansion of the low-oxygen layer, an increase in sediment nutrient release, and changed in the dominant species of algae in the water body.