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정규화 흐름 기반 딥러닝 기법을 활용한 시각적 이상 탐지 기법에 관한 연구
전영훈(Younghoon Jeon),곽정환(Jeonghwan Gwak) 대한전기학회 2023 대한전기학회 학술대회 논문집 Vol.2023 No.4-1
본 연구에서는 영상 데이터에서 이상 징후를 탐지하는 안전 기술의 개발을 위하여 딥러닝 기반 시각적 이상 탐지 시스템 연구를 진행하였다. 제안 시스템은 이상 데이터의 부재로 인한 지도학습 기반 딥러닝 구조의 신뢰성 저하를 극복하기 위해, 정상 데이터에 대한 확률 분포 모델링과 임계값을 이용하여 이상 탐지를 수행하며, 탐지 예측에 대한 각 픽셀의 기여도 계산을 통해 이상 영역을 강조한다. 본 실험에서 제안 시스템은 97.2의 평균 AUROC로 이상을 탐지하였으며, 이는 제안 시스템이 전기설비의 안전 기술로 활용될 수 있는 잠재성을 시사한다.
The Analgesic Effect of Remifentanil on Propofol Injection Pain
Younghoon Jeon,전영훈,임춘학 대한중환자의학회 2011 Acute and Critical Care Vol.26 No.4
Background: Pain is a common side-effect of propofol injection. A remifentanil pretreatment has been reported to decrease the incidence and intensity of pain during a propofol injection and has been suggested to act through a central or peripheral effect. This trial was designed to explore the action site of remifentanil on reducing propofol injection pain, using the venous occlusion technique and a time interval between the applications of remifentanil and propofol. Methods: This randomized, double-blind study was designed to explore the action site of remifentanil on reducing propofol injection pain in 200 patients scheduled for elective surgery. The peripheral properties were examined using the venous occlusion technique for 30 s while a 1 min time interval between remifentanil and propofol injections was allowed for the central effect. Before the propofol injection, group A was pretreated with remifentanil (0.5 μg/kg) with a venous occlusion, group B with remifentanil and a 1 min interval, and group C with remifentanil with a venous occlusion and a 1 min interval. Pain severity was assessed using a four-point scale. Results: 40 patients (80%) complained of pain in the placebo group compared with 35 (70%) in group A, 20 (40%) in group B (p < 0.05) and 17 (34%) in group C (p < 0.05). The incidence and severity of propofol injection pain were lower in groups B and C than in group A (p < 0.05). However, there was no significant difference between groups B and C. Conclusions: The remifentanil mediated analgesic effect occurs mainly through the central effect.
ROS(Robot Operating System) 기반 자율주행 배송 플랫폼 아키텍쳐 설계
손영광(Younggwang Son),정경섭(kyeongsub Jeong),노승현(Seunghyeon Noh),이주현(Juhyeon Lee),문대영(Daeyoung Moon),심우현(Woohyun Sim),주형진(Hyeongjin Joo),전영훈(Younghoon Jeon),김범준(Beomjoon Kim),이기범(Kibeom Lee) 한국자동차공학회 2020 한국자동차공학회 학술대회 및 전시회 Vol.2020 No.11
Recently, there is a lot of demand for non-face-to-face food and parcel delivery. The autonomous delivery platforms require high-level autonomous driving technology to drive on general roads and cope with unexpected situations. However, much research has not been conducted compared to autonomous vehicles (AV). Autonomous delivery platforms are equipped with various sensors such as LiDAR, Camera, GPS, and IMU. Such sensors need to select the optimal equip position and angle according to the size or shape of the platform. Also, in order to implement an autonomous delivery system, various driving algorithms are required and integration of each element algorithm is essential. In this research, a variable platform is designed to easily set the position to optimize the sensor performance. An autonomous driving algorithm structure for modularization is developed.