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소형 태양 반사경 클러스터를 이용한 태양열 발전에 대한 타당성 연구
오승진(Oh, Seung-Jin),이정성(Lee, Jung-Sung),현준호(Hyun, Joon-Ho),김남진(Kim, Nam-Jin),천원기(Chun, Won-Gee) 한국신재생에너지학회 2006 한국신재생에너지학회 학술대회논문집 Vol.2006 No.11
This paper introduces a preliminary work for the design of a mini-dish cluster system for power general ion. Each mini-dish (typically has a 20 to 30cm in diameter) is designed with a simple parabolic profile, concentrating sun light (after the glass glazing cover to avoid dust deposition on the reflector and facilitate cleaning) onto a centrally located small plane(or concave) mirror which is placed on the bottom side of the transparent glass cover. The mirror with a mini-dish concentrator is designed to focus beam radiation onto a focal point before it enters a bundle of optical fibers connected to a remote receiver for power generation different options are considered In designing a mini-dish concentrator to maximize its effectiveness for the collection and use of solar energy.
오승진 ( Sung Jin Oh ) 단국대학교 법학연구소 2010 법학논총 Vol.34 No.2
The European Convention for the Protection of Human Rights and Fundamental Freedom has established one of the most effective regional system of protecting human rights. The principle of subsidiarity of the Convention does not reduce the effectiveness of the system. At the heart of it is the European Court of Human Rights. The Court has the jurisdiction to decide on individual applications, inter-state cases and advisory opinions. However, many individual applications have been dismissed because of jurisdictional questions or admissibility. Only after cases have passed jurisdictional hurdles such as exhaustion of domestic remedies, could the Court decide on the merits. Anonymous applications or applications already submitted to other international procedures shall be dismissed. The Court has been playing a pivotal role in protecting human rights in Europe and has been considered a model for other human rights institutions. Moreover, national courts in Europe are increasingly citing cases of the Court. Asia does not have its own human rights convention, while Europe, America and Africa have their own regional human rights systems covering their continents. Shared values are considered to be essential among regional nations for the success of regional human rights systems. However, culture differences among Asian states are not to be stressed too much. Effective human right systems in Asia could be possible if Asian states try to find common ground based on universality of human rights. If that arises, I believe, the experience of the European Court of Human Rights is likely to shed some lights for our future.
오승진(Oh Seung-Jin),한현주(Han Hyun-Joo),한수빈(Han Soo-Bin),임상훈(Lim Sang-Hoon),천원기(Chun Won-Gee) 한국태양에너지학회 2008 한국태양에너지학회 논문집 Vol.28 No.3
This paper reports an experimental investigation to design a tree-shaped wind power system using piezo-electric materials. The proposed system is to produce power if wind is strong enough to produce any bending motions in the energy converting elements. i.e.. piezo-electric materials. Two different kinds of piezoelectric materials are used in the present study to produce power by scavenging energy from the wind. The soft flexible one made the leaf element while the hard one was applied to the trunk portion of the tree requiring rather strong winds to generate any power. Although small. each leaf deems to play the role of a power producer and currents are continuously trickling down to the storage battery installed at the bottom of the system.
계층적 군집화 기반 Re-ID를 활용한 객체별 행동 및 표정 검출용 영상 분석 시스템
이상현(Sang-Hyun Lee),양성훈(Seong-Hun Yang),오승진(Seung-Jin Oh),강진범(Jinbeom Kang) 한국지능정보시스템학회 2022 지능정보연구 Vol.28 No.1
최근 영상 데이터의 급증으로 이를 효과적으로 처리하기 위해 객체 탐지 및 추적, 행동 인식, 표정 인식, 재식별(Re-ID)과 같은 다양한 컴퓨터비전 기술에 대한 수요도 급증했다. 그러나 객체 탐지 및 추적 기술은 객체의 영상 촬영 장소 이탈과 재등장, 오클루전(Occlusion) 등과 같이 성능을 저하시키는 많은 어려움을 안고 있다. 이에 따라 객체 탐지 및 추적 모델을 근간으로 하는 행동 및 표정 인식 모델 또한 객체별 데이터 추출에 난항을 겪는다. 또한 다양한 모델을 활용한 딥러닝 아키텍처는 병목과 최적화 부족으로 성능 저하를 겪는다. 본 연구에서는 YOLOv5기반 DeepSORT 객체추적 모델, SlowFast 기반 행동 인식 모델, Torchreid 기반 재식별 모델, 그리고 AWS Rekognition의 표정 인식 모델을 활용한 영상분석 시스템에 단일 연결 계층적 군집화(Single-linkage Hierarchical Clustering)를 활용한 재식별(Re-ID) 기법과 GPU의 메모리 스루풋(Throughput)을 극대화하는 처리 기법을 적용한 행동 및 표정 검출용 영상 분석 시스템을 제안한다. 본 연구에서 제안한 시스템은 간단한 메트릭을 사용하는 재식별 모델의 성능보다 높은 정확도와 실시간에 가까운 처리 성능을 가지며, 객체의 영상 촬영 장소 이탈과 재등장, 오클루전 등에 의한 추적 실패를 방지하고 영상 내 객체별 행동 및 표정인식 결과를 동일 객체에 지속적으로 연동하여 영상을 효율적으로 분석할 수 있다. Recently, the amount of video data collected from smartphones, CCTVs, black boxes, and high-definition cameras has increased rapidly. According to the increasing video data, the requirements for analysis and utilization are increasing. Due to the lack of skilled manpower to analyze videos in many industries, machine learning and artificial intelligence are actively used to assist manpower. In this situation, the demand for various computer vision technologies such as object detection and tracking, action detection, emotion detection, and Re-ID also increased rapidly. However, the object detection and tracking technology has many difficulties that degrade performance, such as re-appearance after the object’s departure from the video recording location, and occlusion. Accordingly, action and emotion detection models based on object detection and tracking models also have difficulties in extracting data for each object. In addition, deep learning architectures consist of various models suffer from performance degradation due to bottlenects and lack of optimization. In this study, we propose an video analysis system consists of YOLOv5 based DeepSORT object tracking model, SlowFast based action recognition model, Torchreid based Re-ID model, and AWS Rekognition which is emotion recognition service. Proposed model uses single-linkage hierarchical clustering based Re-ID and some processing method which maximize hardware throughput. It has higher accuracy than the performance of the re-identification model using simple metrics, near real-time processing performance, and prevents tracking failure due to object departure and re-emergence, occlusion, etc. By continuously linking the action and facial emotion detection results of each object to the same object, it is possible to efficiently analyze videos. The re-identification model extracts a feature vector from the bounding box of object image detected by the object tracking model for each frame, and applies the single-linkage hierarchical clustering from the past frame using the extracted feature vectors to identify the same object that failed to track. Through the above process, it is possible to re-track the same object that has failed to tracking in the case of re-appearance or occlusion after leaving the video location. As a result, action and facial emotion detection results of the newly recognized object due to the tracking fails can be linked to those of the object that appeared in the past. On the other hand, as a way to improve processing performance, we introduce Bounding Box Queue by Object and Feature Queue method that can reduce RAM memory requirements while maximizing GPU memory throughput. Also we introduce the IoF(Intersection over Face) algorithm that allows facial emotion recognized through AWS Rekognition to be linked with object tracking information. The academic significance of this study is that the two-stage re-identification model can have real-time performance even in a high-cost environment that performs action and facial emotion detection according to processing techniques without reducing the accuracy by using simple metrics to achieve real-time performance. The practical implication of this study is that in various industrial fields that require action and facial emotion detection but have many difficulties due to the fails in object tracking can analyze videos effectively through proposed model. Proposed model which has high accuracy of retrace and processing performance can be used in various fields such as intelligent monitoring, observation services and behavioral or psychological analysis services where the integration of tracking information and extracted metadata creates greate industrial and business value. In the future, in order to measure the object tracking performance more precisely, there is a need to conduct an experiment using the MOT Challenge dataset, which is data used by many international conferences. We will invest
열음향파 발생장치의 최적 작동 조건에 대한 실험적 연구
신상웅(Sang Woong Shin),오승진(Seung Jin Oh),이윤준(Yoon Joon Lee),김남진(Nam Jin Kim),천원기(Wongee Chun) 대한기계학회 2013 大韓機械學會論文集B Vol.37 No.2
본 연구에서는 열음향 시스템의 음향파 출력에 대한 주요한 기하학적 변수에 대해 다루고 있다. 음향파의 출력은 스택의 위치와 스택의 길이, 입력 파워와 공진기의 길이에 의존한다. 본 실험을 통하여 최고의 실험 조건을 얻을 수 있었다. 실험결과에 의하면 최고 음압레벨은 폐쇄된 부분에서 공진기길이의 1/4 -1/2지점 사이에 스택을 위치시켰을 때, 공진기와 스택의 길이가 길 때, 그리고 입력전압이 증가할 때 나타난다. 또한 주파수의 경우 공진기의 길이가 200mm일 때 437Hz, 100mm일 때 885Hz를 기록하였다. 연구 결과 공진기의 길이가 짧을수록 더 높은 주파수를 얻을 수 있는 것을 알 수 있다. This study deals with the effects of major geometric parameters on the sound wave output of a thermal acoustic system. The output power of the acoustic wave was dependent on the stack position, stack length, resonator tube length, and input power. In experiments, the maximum SPL was generated when the stack was placed between one-fourth to half, resonator and stack length were longer, and input power was increased. The frequency was recorded to be 437 and 885 Hz when the resonator tube length was 200 and 100 mm, respectively. Therefore, when the resonator tube length was shorter, a higher frequency was recorded.