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기계 화학적 방법을 통한 Eu<sup>3+</sup> 도핑된 (Y,Gd)BO<sub>3</sub> 형광체의 분말제조
원희섭,이완재,김제석,홍근영,이근재,좌용호,Won, Hee-Sub,Lee, Wan-Jae,Kim, Je-Seok,Hong, Gun-Young,Lee, Kun-Jae,Choa, Yong-Ho 한국분말야금학회 2008 한국분말재료학회지 (KPMI) Vol.15 No.2
The mechanochemical process were employed to prepare the red phosphors (Y,Gd)$BO_3:Eu^{3+}$. The main factors affecting particle size, particle distribution, and luminescent properties of the product were investigated in details. Particles sized around 200-600 nm are formed after intensive milling. The phosphors were characterized by X-ray diffraction (XRD), scanning electron microscope (SEM) and photoluminescence spectrum. Results revealed that phosphors with different morphology, small particle size and high luminescence intensity could be obtained by mechanochemical process.
Firefly Algorithm을 이용한 군집 이동 로봇의 경로 계획
김휴찬(Hue-Chan Kim),김제석(Je-Seok Kim),지용관(Yong-Kwan Ji),박장현(Jahng-Hyon Park) 제어로봇시스템학회 2013 제어·로봇·시스템학회 논문지 Vol.19 No.5
A swarm robot system consists of with multiple mobile robots, each of which is called an agent. Each agent interacts with others and cooperates for a given task and a given environment. For the swarm robotic system, the loss of the entire work capability by malfunction or damage to a single robot is relatively small and replacement and repair of the robot is less costly. So, it is suitable to perform more complex tasks. The essential component for a swarm robotic system is an inter-robot collaboration strategy for teamwork. Recently, the swarm intelligence theory is applied to robotic system domain as a new framework of collective robotic system design. In this paper, FA (Firefly Algorithm) which is based on firefly’s reaction to the lights of other fireflies and their social behavior is employed to optimize the group behavior of multiple robots. The main application of the firefly algorithm is performed on path planning of swarm mobile robots and its effectiveness is verified by simulations under various conditions.
김휴찬(Hyu-Chan Kim),고완기(Wan-Gi Ko),김미정(Mi-Jung Kim),김제석(Je-Seok Kim) 융복합지식학회 2015 융복합지식학회논문지 Vol.3 No.1
무선통신 기술의 발달로 사용자의 이동성이 제공되는 시점부터 위치기반서비스가 창출되었으며 미래 핵심정보서비스로 주목받고 있다. 무선통신기술의 응용과 서비스 범위, 전송속도 등에 따라 다양하게 발전되고 있으며, 위치인식기술 또한 응용과 서비스 범위에 따라 여러 기술이 연구되고 있다. 본 연구에서는 USN 모듈을 이용하여 RF 모듈 간에 RF 전파 신호의 패턴을 이용하여 비교적 넓은 실내공간에서 사물의 위치를 정확하게 인식할 수 있는 시스템을 개발하였다. 향후에는 언제 어디서나 끊임없는 위치기반서비스(Location Based Services)를 제공받기 위해 다양한 위치인식 시스템들간의 연동 방안에 대해서도 연구가 필요하다. Since development of wireless communication technology offers user mobility, LBS(location-based services) has been generated and attracts attention as a future core information -generating services. Several techniques in the field of location awareness technology are being investigated in accordance with various development of wireless communication technology in application, coverage of service, and transfer rate. The system that can correctly recognize the position of an object in a relatively large indoor space using pattern of the RF signal propagation between the RF modules using USN is developed through this study. In order to provide constant LBS anywhere and anytime, the study on interworking method among various location awareness systems is needed in future.
국내 도로 환경에 특화된 자율주행을 위한 멀티카메라 데이터 셋 구축 및 유효성 검증
이진희,이재근,박재형,김제석,권순,Lee, Jin-Hee,Lee, Jae-Keun,Park, Jaehyeong,Kim, Je-Seok,Kwon, Soon 대한임베디드공학회 2022 대한임베디드공학회논문지 Vol.17 No.5
Along with the advancement of deep learning technology, securing high-quality dataset for verification of developed technology is emerging as an important issue, and developing robust deep learning models to the domestic road environment is focused by many research groups. Especially, unlike expressways and automobile-only roads, in the complex city driving environment, various dynamic objects such as motorbikes, electric kickboards, large buses/truck, freight cars, pedestrians, and traffic lights are mixed in city road. In this paper, we built our dataset through multi camera-based processing (collection, refinement, and annotation) including the various objects in the city road and estimated quality and validity of our dataset by using YOLO-based model in object detection. Then, quantitative evaluation of our dataset is performed by comparing with the public dataset and qualitative evaluation of it is performed by comparing with experiment results using open platform. We generated our 2D dataset based on annotation rules of KITTI/COCO dataset, and compared the performance with the public dataset using the evaluation rules of KITTI/COCO dataset. As a result of comparison with public dataset, our dataset shows about 3 to 53% higher performance and thus the effectiveness of our dataset was validated.
모바일 증강현실 기반 여행 가이드 서비스 알고리즘에 관한 연구
고완기(Wan-Ki Koh),김정효(Jeong Hyo Kim),김제석(Je-seok Kim) 한국게임학회 2018 한국게임학회 논문지 Vol.18 No.3
최근 들어 증강현실 시장이 급성장하고 새로운 패러다임으로 자리를 잡아가면서 다양한 플랫폼 인터페이스가 등장하였다. 스마트폰 기반으로 사용자 개개인에 따라 맞춤식으로 추천 여행 정보를 제공하며 추천 여행 정보를 토대로 맞춤식 동선 가이드 정보를 제공함으로써 제한된 시간 내에 효율적인 여행이 가능하도록 하고 있으나 지도 중심의 단순 여행 동선을 제공하는데 불과하여 트레일이 나 트레킹 등의 도보 여행 시 기존 지도 애플리케이션과 차별화된 서비스를 제공하기에는 한계가 있다. 모바일 기기에서 구현되면서도 서버와의 지속적인 통신이 없더라도 사용자 동선에 따라 가이드가 가능하면서도 해당 지역의 문화나 유적 등 엔터테인먼트 서비스도 부가적으로 제공될 수 있는 새로운 증강현실기법이 필요하다. As the augmented reality market has rapidly grown in recent years, various platform interfaces have emerged. In addition, it provides recommended travel information for each user based on a smartphone. Based on the recommended travel information, it provides the information of a tour path. Even though it is implemented in mobile devices and does not have continuous communication with servers, it needs new technologies that can provide additional entertainment services such as cultural and historical sites in corresponding regions while still providing guides depending on user movements.