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Backlash제거를 위해 Multi-Magnet Disc를 이용한 절대각 센서
박성우(Sungwoo Park),노지형(Jihyoung Roh),전민석(Minseok Jeon),남철(Chul Nam),표재우(Jaewoo Pyo),이석우(Seagwoo Lee),공준호(Junho Gohng),문병무(Byungmoo moon),이대성(Daesung Lee) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
These days absolute steering angular sensor(SAS) is used in vehicles as a component of electric power steering, anti-collision system, ASS/ESP, auto light system, auto parking system and so on. A number of SASs are developed and used in companies and research institution. The sensors are mostly magnetic type because of non-contact type and prevention of pollution. Most magnetic type SAS have used AMR sensors and gears. But this method has the backlash problem. So we use a multi-magnet disc for elimination of backlash without gears. Hall IC is used to SAS for multi-magnet's magnetic flux is measured. As a result, characteristics of this method are resolution which is 0.014° and elimination of backlash problem.
MRI 영상 유도 수술 로봇을 위한 개선된 군집 분석 방법을 이용한 뇌종양 영역 검출 개발
김대관,차경래,승성민,정세미,최종균,노지형,박충환,송태하,Kim, DaeGwan,Cha, KyoungRae,Seung, SungMin,Jeong, Semi,Choi, JongKyun,Roh, JiHyoung,Park, ChungHwan,Song, Tae-Ha 대한의용생체공학회 2019 의공학회지 Vol.40 No.3
Brain tumor surgery may be difficult, but it is also incredibly important. The technological improvements for traditional brain tumor surgeries have always been a focus to improve the precision of surgery and release the potential of the technology in this important area of the body. The need for precision during brain tumor surgery has led to an increase in Robotic-assisted surgeries (RAS). One of the challenges to the widespread acceptance of RAS in the neurosurgery is to recognize invisible tumor accurately. Therefore, it is important to detect brain tumor size and location because surgeon tries to remove as much tumor as possible. In this paper, we proposed brain tumor detection procedures for MRI (Magnetic Resonance Imaging) system. A method of automatic brain tumor detection is needed to accurately target the location of the lesion during brain tumor surgery and to report the location and size of the lesion. In the qualitative assessment, the proposed method showed better results than those obtained with other brain tumor detection methods. Comparisons among all assessment criteria indicated that the proposed method was significantly superior to the threshold method with respect to all assessment criteria. The proposed method was effective for detecting brain tumor.