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모티프 자원 통합을 이용한 단백질 모티프 예측 시스템 구현
이범주,최은선,류근호,Lee, Bum-Ju,Choi, Eun-Sun,Ryu, Keun-Ho 한국정보처리학회 2003 정보처리학회논문지D Vol.10 No.4
지놈 서열 시퀀싱을 통해 생성되는 원시 데이터에 대한 단백질 기능 및 구조 예측에 사용되는 모티프 데이터베이스들은 원시 데이터들의 폭발적인 성장추세에 맞추어 그 사용빈도가 증가하고 있다. 그러나 이러한 모티프 데이터베이스들은 독자적으로 개발, 발전하여왔고 웹 기반 cross-reference를 이용한 논리적 통합을 추진하여왔기 때문에 이질적인 검색 결과와 복잡한 질의 처리 문제, 중복된 데이터베이스 엔트리 핸들링 문제 등을 갖고 있다. 따라서, 이 논문에서는 이런 문제점들을 개선하기 위하여 물리적인 모티프 자원 통합을 제안하고, 패밀리 기반 단백질 예측 메소드들에 대한 통합 검색 방법을 기술한다. 끝으로 모티프 통합 데이터베이스 구축 및 단백질 모티프 예측 시스템 구현을 통한 결과를 평가한다. Motif databases are used in the function and structure prediction of proteins which appear on new and rapid release of raw data from genome sequencing projects. Recently, the frequency of use about these databases increases continuously. However, existing motif databases were developed and extended independently and were integrated mainly by using a web-based cross-reference, thus these databases have a heterogeneous search result problem, a complex query process problem and a duplicate database entry handling problem. Therefore, in this paper, we suppose physical motif resource integration and describe the integrated search method about a family-based protein prediction for solving above these problems. Finally, we estimate our implementation of the motif integration database and prediction system for predicting protein motifs.
Seamlessly Wound Multi-Level Cable Drive System for High Reduction Gear Ratio
이범주 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.
In this paper, cable drive mechanism is proposed to implement high reduction gear ratio. Although cable drive mechanism has greatadvantages such as light weight, zero backlashes and high degree of freedom in terms of mechanical design, it is restrictively utilizedfor the robotic applications because it is hard to implement high reduction gear ratio over 10 to 1. This is due to the complexity oftension adjustment units which should be installed at every reduction level for the conventional mechanism. Therefore mechanicalstructure becomes rather bulky and heavy to mount in the robotic joint. Proposed mechanism implements multi-level reductions byadopting seamless winding method which links the previous output axis to the next input axis. This enables high reduction with onlyone single wire cable. Consequently, it is possible to reduce the mechanical complexity significantly. Based on the proposed method,3D CAD design was provided and prototype was manufactured. Moreover, experiments were carried out and the results wereanalyzed.
매니퓰레이터 로봇의 기구학 파라미터 보정에 사용되는 구조광의 정밀성 향상을 위한
이범주,김지호 대한전기학회 2022 전기학회논문지 Vol.71 No.3
The machining tolerance and assembly error in the robot mechanism cause deterioration of the control precision of the articulated manipulator robot. To handle this problem, a correction algorithm should be used. The algorithm can be classified into a contact-based method and a non-contact-based method. This paper deals with a non-contact correction method using a structured light and subsequent image processing algorithm to estimate a laser point projected onto a screen to improve the measurement accuracy of non-contact method. In the conventional method, the laser image on the screen observed by the camera was simply assumed to be a single point. However, the actual observed image has an area of a size that is difficult to ignore. In addition, there is a significant time delay between the actual point and the captured point from the frame grabber of the computer vision. Consequently, these reduce the estimation accuracy. To improve the estimation performance, mathematical model-based image processing algorithm is proposed to handle these two major prerequisites. Testbed system was developed with an embedded computer vision system to implement the algorithm. The performance was verified by comparing the actual point from the high resolution encoder signal and the estimated point from the proposed algorithm.