• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2385-2390
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• 2015

In the beginning run, urban railway had been required as transportation. But now days urban railway have stayed in the platform for long time, the platform is faced the problem that is improvement of environment as one of the living space. Thus, sliding automatic door on the basis of screen door have used in huge distribution market, hospital, restaurant and public office because it is comfortable that customer's convenience and entrance are controled. So screen door not only requires customer's convenience and safe, clean area and energy conservation but demands optimal design technology development of screen door system that is confirmed by element parts of design and confidence. In this paper, For secure confidence of screen door, after as modeling roller and frame's system, confirming the result for qualification of driving stiffness. And then it suggests that it is possible to increase performance and declines fraction defective of element's part.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.5
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• pp.125-135
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• 2004

The validity of simulation has been well-established for decades in areas such as computer and communication system. Recently, the technique has become entrenched in specific areas such as transportation and traffic forecasting. Several methods have been proposed for investigating complex traffic flows. However, the dynamics of vehicles and their driver's characteristics, even though it is known that they are important factors for any traffic flow analysis, have never been considered sufficiently. In this paper, the traffic simulation using a multi-agent approach with considering vehicle dynamics is proposed. The multi-agent system is constructed with the traffic environment and the agents of vehicle and driver. The traffic environment consists of multi-lane roads, nodes, virtual lanes, and signals. To ensure the fast calculation, the agents are performed on the based of the rules to regulate their behaviors. The communication frameworks are proposed for the agents to share the information of vehicles' velocity and position. The model of a driver agent which controls a vehicle agent is described in the companion paper. The vehicle model contains the nonlinear subcomponents of engine, torque converter, automatic transmission, and wheels. The simulation has proceeded for an interrupted and uninterrupted flow model. The result has shown that the driver agent performs human-like behavior ranging from slow and careful to fast and aggressive driving behavior, and that the change of the traffic state is closely related with the distance and the signal delay between intersections. The system developed shows the effectiveness and the practical usefulness of the traffic simulation.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.10
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• pp.1443-1449
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• 2013

Automatic detection of vehicles in front is an integral component of many advanced driver-assistance system, such as collision mitigation, automatic cruise control, and automatic head-lamp dimming. Regardless day and night, tail-lights play an important role in vehicle detecting and status recognizing of driving in front. However, some drivers do not know the status of the tail-lights of vehicles. Thus, it is required for drivers to inform status of tail-lights automatically. In this paper, a recognition method of status of tail-lights based on video processing and recognition technology is proposed. Background estimation, optical flow and Euclidean distance is used to detect vehicles entering tollgate. Then saliency map is used to detect tail-lights and recognize their status in the Lab color coordinates. As results of experiments of using tollgate videos, it is shown that the proposed method can be used to inform status of tail-lights.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10b
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• pp.794-797
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• 1988

G. Binnig and H. Rohrer introduced the Scanning Tunneling Microscope (STM) in 1982 and developed it into a powerful and not to be missed physical tool. Scanning tunneling Microscopy is a real space surface imaging method with the atomic or subatomic resolution in all three dimensions. The tip is scanned over the surface by two piezo translators mounted parallel (X-piezo and Y-piezo) to the surface and perpendicular to each other. The voltage applied to the third piezo (Z-piezo) translator mounted perpendicular to the surface to maintain the tunneling current through the gap at a constant level reflects then the topography of the surface. The feed back control loop for the constant gap current is designed using the automatic control technique. In the designing process of the feed back loop, the identification of the gap dynamics is very complex and has difficulty. In this research, using some suitable test signals, the system dynamics of the gap including the Z-piezo are investigated. Especially, in this paper, a system model is proposed for the gap and Z-piezo series system. Indicial response is used to find out the model. The driving voltage of the Z-piezo and the tunneling current are considered as input and output signals respectively.

• Transactions of the Korean Society of Mechanical Engineers
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• v.18 no.11
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• pp.2817-2824
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• 1994

A torque split type multi-pass CVT(MPC) system consiting of CVT and planetary gear train with 4 clutches was suggested to overcome the inherent inferior acceleration performance of CVT. Also, a shifting algorithm of MPC was suggested for the two driving modes : (1) power mode and (2) economy mode. By using the shifting algorithm and the MPC vehicle dynamic model, numerical simulations were performed to estimate the performance of the MPC vehicle. Simulation results showed that comparing the performance of the conventional 4-speed automatic transmission, an improvement in acceleration can be obtained by MPC for the power mode and 31% improvement in fuel economy for the economy mode.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11a
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• pp.342-345
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• 2003

자동운전과 안전운전 구현을 위한 첨단 차량 및 도로 시스템(AVHS : Advanced Vehicle & Highway Systems)의 한 분야인 충돌 방지 시스템을 완성하기 위해서는 차량간의 상대 거리, 차량의 속도, 차선의 굴곡 정도, 경사도등을 사용해서 종합적으로 상황 판단을 내려야 한다. 본 논문에서는 이들 요소들중에서 차선의 굴곡도 판단을 근사 추론을 이용하여 실험하였다. 근사추론을 이용한 것은 차선의 굴곡도를 계산형으로 파악할 때의 단점인 계산 시간 오버헤드(overhead), 또 그에 따른 실시간 처리의 어려움, 고가의 장비필요성 등을 극복하기 위해서이며, 실험은 Fuzzy Logical Inference 기법을 사용하였다. 본 연구에서는 실제 도로상에서의 계산된 굴곡도와 실험된 시스템 결과와의 유사성과 그 시스템의 사용 가용성(feasibility)을 검정하였다.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.185-190
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• 2019

For future autonomous cars, it is necessary to recognize various surrounding environments such as lanes, traffic lights, and vehicles. This paper presents a method of speed sign recognition from a single image in automatic driving assistance systems. The detection step with the proposed method emphasizes the color attributes in modified YUV color space because speed sign area is affected by color. The proposed method is further improved by extracting the digits from the highlighted circle region. A sequential cascade AdaBoost classifier is then used in the recognition step for real-time processing. Experimental results show the performance of the proposed algorithm is superior to that of conventional algorithms for various speed signs and real-world conditions.

• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.31-33
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• 1989

In this paper, a short primary-short secondary single-sided LIM which is used as a driving source for automatic conveyor system, is selected as a analysis model. And with a method for analyzing eddy current distribution and thrust force which are produced according to the relative position of primary and secondary, FEM in which current vector potential is introduced is adopted. Also, analysis results are compared with experimental results, so propriety of this at study is proved.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.11a
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• pp.120-121
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• 2012

자동차 산업에서 중요 화두로 떠오르고 있는 지능형 자동차 개발에 있어서, 영상처리를 이용하여 다양한 편의와 안전을 제공하며 더 나아가서는 자동주행을 목표로 하는 여러 가지 영상인식 방법들이 개발되고 있다. 본 논문은 자동 주행 분야에서 가장 중요한 문제들 중의 하나인 장애물 검출에 관한 것으로서, 여러 장애물들 중에 요금소나 진입통제 지역에 자주 나타나는 크로스 바 검출을 위한 알고리즘을 제안한다. 크로스 바의 경우 그 두께가 작아서 레이더로 잘 검출되지 않으므로 특히 영상처리로 검출을 해야 할 장애물에 속한다. 본 논문에서는 도로 상에 일반적으로 존재하는 크로스 바의 특징을 기반으로 한 영상 처리를 통해 바를 검출한다. 먼저 색상과 모양 정보를 이용하여 크로스 바의 노란색 영역이라고 판단되는 부분을 추출한다. 이들 가운데 수평을 이루고 있는 부분이 존재하면 크로스 바로 판단한다. 실험 결과는 제안하는 알고리즘이 제동거리 밖에서 정확하게 크로스 바를 검출함을 보여준다.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.10
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• pp.1029-1034
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• 2006

In this paper, the tracking control of an automatic pipe cutting robot, called APCROM, with a magnetic binder is studied. Using magnetic force APCROM, a wheeled robot, binds itself to the pipe and executes unmanned cutting process. The gravity effect on the movement of APCROM varies as it rotates around the pipe laid in the gravitational field. In addition to the varying gravity effect other types of nonlinear disturbances including backlash in the driving system and the slip between the wheels of APCROM and the pipe also cause degradation in the cutting process. To maintain a constant velocity and consistent cutting performance, the authors adopt a repetitive learning controller (MRLC), which learns the required effort to cancel the tracking errors. An angular-position estimation method based on the MEMS-type accelerometer is also used in conjunction with MRLC to compensate the tracking error caused by slip at the wheels. Experimental results verify the effectiveness of the proposed control scheme.