• 한국컴퓨터정보학회논문지
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• 제11권2호
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• pp.263-273
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• 2006

인터넷의 급속한 발전은 홈페이지 및 콘텐츠의 양적 증가와 더불어 전문화 및 세분화를 유도하였고, 이로 인해 콘텐츠 관리시스템(CMS:Content Management System)의 필요성이 대두되고 있다. 현재 CMS는 많은 업체에서 구현되고 다각적으로 연구하고 있다. 하지만 전문화된 문화관광 콘텐츠를 손쉽게 구축하고, 이를 효율적으로 관리하는 시스템은 드물다. 이러한 요구에 따라 본 연구에서는 일반인들의 문화관광 정보 서비스에 대한 욕구를 만족시키고, 표준화된 문화관광 콘텐츠를 손쉽게 구축, 관리할 수 있는 순환관계 객체모델에 기반한 통합적인 성격의 CMS를 설계하고, 구현하였다.

• 대한기계학회논문집
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• 제19권4호
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• pp.1023-1032
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• 1995

The multiple cooperating robot system plays an important role in the research of modern manufacturing system as the emphasis of production automation is more on the side of flexibility than before. While the kinematic and dynamic analysis of a single robot is performed as an open-loop chain, the dynamic formulation of robot in a multiple cooperating robot system differs from that of a single robot when the multiple cooperating robots form a closed kinematic chain holding an object simultaneously. The object may be any type from a rigid body to a multi-joint linkage. The mobility of the system depends on the kinematic configuration of the closed kinematic chain formed by robots and object, which also decides the number of independent input parameters. Since the mobility is not the same as the number of robot joints, proper constraint condition is sought. The constraints may be such that : the number of active robot joints is kept the same as mobility, all robot joints are active and have interrelations between each joint forces/torques, two robots have master-slave relation, or so on. The dynamic formulation of system is obtained. The formulation is based on recursive dual-number screw-calculus Newton-Eulerian approach which has been used for single robot analysis. This new scheme is recursive and compact symbolically and may facilitate the consideration of the object in real time.

• 한국자동차공학회논문집
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• 제16권3호
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• pp.166-171
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• 2008

In this paper, the optimization design module for the brake system of a vehicle is developed. As using this module, design variables, that minimize an object function and satisfy nonlinear constraint conditions, can be found easily. Before an optimization is operated, Plackett-Burman design, one of the factorial design methods, is used to choose the design variables which affect a response function significantly. Using the response surface analysis, second order recursive model function, which informs a relation between design variables and response function, is estimated. In order to verify the reliability of the model function, analysis of variances(ANOVA) table is used. The value of design variables which minimize the model function and satisfy the constraint conditions is predicted through Sequential Quadratic-Programming (SQP) method. As applying the above procedure to a real vehicle simulation model and comparing the values of object functions of a current and optimized system, the optimization results are verified.