저온자극에 의한 해마의 신경세포재생에 관한 연구

학위논문 (박사)-- 서울대학교 대학원 : 수의과대학 수의학과, 2018. 8. 윤여성.Ambient cold challenge has been known to improve metabolism, and this metabolic improvement arises from the control of glucose metabolism and lipid homeostasisINTRODUCTION 1 MATERIALS AND METHODS 6 RESULTS 15 DISCUSSION 74 CONCLUSION 82 REFERENCES 85 국문초록 98Docto

Korean word sense disambiguation based on the differences of the sense expectation ratios

학위논문(박사)--서울대학교 대학원 :언어학과 언어학전공,2006.Docto

결정성 있는 공동 Gd2O3 나노입자의 합성 및 분석

Thesis(masters) --서울대학교 대학원 :화학부(무기화학전공),2010.2.Maste

자율 운항 선박을 위한 카메라와 레이다 기반 개선된 상황 인식 및 실험적 검증

학위논문(박사) - 한국과학기술원 : 기계공학과, 2024.2,[vii, 104 p. :]Recently, autonomous surface vehicles have attracted much research attention because of their potential effectiveness in carrying out various maritime missions such as surveillance, environmental monitoring, ocean exploration, and maritime accident response. For autonomous navigation, as vessels must require situational awareness and perform tasks without human intervention, one of the most essential abilities is active detection, identification, and tracking of surrounding obstacles and other ships in the vicinity. Various perception sensors, such as cameras, LiDAR, and radar, are installed on autonomous ships for this purpose. This paper presents improved perception methods for effectively recognizing maritime obstacles from camera and radar data that are appropriate for maritime environments and validates the proposed method through field experiments. A framework that associates the detection results with uncertainty and a tracking filter for camera-based object detection and tracking is proposed, and also, a camera and LiDAR-based navigable area detection algorithm in canal environments is developed, and a perception-guided autonomous navigation framework without relying on a GPS is introduced. An enhanced semantic segmentation algorithm for radar images is proposed by considering temporal context and applying semi-supervised learning. Lastly, an enhanced algorithm for data association of objects detected from cameras and radar that solves the ambiguity in estimating attitude information is proposed. All the proposed algorithms have been validated using data acquired from the perception system of a developed autonomous navigation system or through field experiments, and the results are discussed.한국과학기술원 :기계공학과