• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.2
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• pp.126-133
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• 2003

The aerodynamic characteristics of automobiles have received substantial interest recently. Detailed knowledge of the vehicle aerodynamics is essential to improve fuel efficiency and enhance stability at high-speed cruising. In this study, a numerical simulation has been carried out for three-dimensional turbulent flows around a commercial bus body. Also, the effect of rear-spoiler attached at rear end of bus body was investigated. The Wavier-Stokes equation is solved with SIMPLE method in general curvilinear coordinates system. RNG $k-\varepsilon$ turbulence model with the MARS scheme was used for the evaluating aerodynamic forces, velocity and pressure distribution. The results showed details of the three-dimensional wake flow in the immediate rear of bus body and the effect of rear-spoiler on the wake structure. A maximum of 14% reduction in drag coefficient was achieved for a model with a rear-spoiler.

• Aerospace Industry
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• s.90
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• pp.57-59
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• 2006

보잉,호주 737 AEW&C 주요 시험 완료/미 공군, 무인폭격기 개발에 20억 달러 투자/독일·프랑스, 대형 수송헬기 개발/미, 국방부 작년도 10대 방산계약업체 발 표/에어버스 밀리터리,A400M 수송기 형식증명 신청/나사,CEV 및 달착륙 임무계획 구체화/일본, 첨단 지상관측위성 발사/유럽우주기구,4대의 갈릴레오 항법위 성 제적 계약/X-51A 극초음속기 스크램제트 시험 계획/인도,유인우주임무 검토/캐나다 봄바디어,수호이의 RRJ사업참여 고려/프랑스 닷소사,중국에 팰컨 900DX 비즈제트 판매/중국,150인승 여객기 개발 준비/보잉 및 에어버스 기록적인 수주 실적

• Journal of IKEEE
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• v.27 no.3
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• pp.355-367
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• 2023

Local Interconnect Network (LIN) is a low-speed in-vehicle network bus, and it is widely used in body applications such as windows, doors, HVAC, and lighting. This review explains protocols and message frames of LIN bus in detail. LIN bus basically transmits ID and payloads in data frame. How to interpret ID and payloads is defined in LIN Description file (LDF). Each LIN bus has unique LDF and its corresponding unique configuration. This review also explains syntax and example of LDF in detail.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.299-306
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• 2016

In this paper, a method of shape prediction of an endoscope handling robot that can imitate a surgeon's behavior using a sensor network is suggested. Unit sensors, which are composed of a 3-axis magnetometer and 3-axis accelerometer pair comprise the network through CAN bus communication. Each unit of the sensor is used to detect the angle of the points in the longitudinal direction of the robot, which is made from a flexible tube. The signals received from the sensor network were filtered using a low pass Butterworth filter. Here, a Butterworth filter was designed for noise removal. Finally, the Euler angles were extracted from the signals, in which the noise was filtered by the low path Butterworth filter. Using this Euler angle, the position of each sensor on the sensor network is estimated. The robot body was assumed to consist of links and joints. The position of each sensor can be assumed to be attached to the center of each link. The position of each link was determined using the Euler angle and kinematics equation. The interpolation was carried out between the positions of the sensors to be able to connect each point smoothly and obtain the final posture of the endoscope in operation. The experimental results showed that the shape of the colonoscope can be visualized using the Euler angles evaluated from the sensor network suggested and the shape of serial link estimated from the kinematics chain model.