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A COMPUTER-BASED 3D ANIMATION OF HUMAN GAIT IN NETWORKED VIRTUAL ENVIRONMENTS
Sooyol OK,Young Yeol Choo 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
Modeling of bipedal gait of human locomotion is one of the most interesting areas in computer graphics and robotics. Recent studies of physics-based animation techniques attend to the gravitational and inertial properties of the human body, but they do not model the mechanical properties of the muscles and the controlling properties of the nervous system. The proposed system is 3D human gait simulation system with a precise neuro-musculo-skeletal model and 3D space sharing communication which communicates and shares 3D virtual reality space with reality-enhanced and high-definition images. This system demonstrates human gait animation which more precise model of the human neuronal and musculo-skeletal systems based on biological principles of motion generation mechanism compared with previous computer graphic researches. Also this system is able to communicate among remote points in real time.
옥수열(Sooyol Ok) 한국지능시스템학회 2004 한국지능시스템학회 학술발표 논문집 Vol.14 No.1
In the research of biomechanical engineering, robotics and neurophysiology, to clarify the mechanism of human bipedal walking is of major interest. It serves as a basis of developing several applications such as rehabilitation tools and humanoid robots. Nevertheless, because of complexity of the neuronal system that interacts with the body dynamics system to make walking movements, much is left unknown about the details of locomotion mechanism. Researchers were looking for the optimal model of the neuronal system by trials and errors. In this paper, we applied Genetic Programming to induce the model of the nervous system automatically and showed its effectiveness by simulating a human bipedal walking with the obtained model.
2족 보행운동 생성을 위한 적응적 노드 선택에 의한 유전적 프로그래밍의 성능 향상
옥수열(Sooyol Ok) 한국지능시스템학회 2004 한국지능시스템학회 학술발표 논문집 Vol.14 No.2
본 연구에서는 근골격계로 구성된 신체 역학계와 신경 진동자로 구성된 신경계의 상호작용에 의해서 자율적인 2족 보행운동 생성하려고 하고 있다. 이를 위해서는 역학계와 신경계의 많은 파라메트(Parameter)으| 조절이 필요하다. 본 연구에서는 유전적 프로그래밍(GP)을 이용하여 파라메트의 자동조절 수법을 제안하였다. GP는 문제를 해결하기 위한 계산 프로그래밍을 탐색하는 진화형 탐색 알고리즘으로, GP를 이용해서 문제해결을 행하기 위해서는 노드의 선택이 매우 중요하다. 그러나 대상문제에 대한 충분한 정보가 없는 경우에는 노드를 용장성 있게 설계하게 되어, 이로 인한 탐색공간의 확장으로 GP에 대한 탐색성능의 저하를 초래한다. 본 논문에서는 이러한 문제를 해결하기 위해서 용장성 노드 집합으로부터 유용한 노드를 획득하기 위해 제안한 수법을 2족 보행운동 생성 시스템에 적용하기 전에 사전 평가로서 기호회귀(Symbolic Regression)문제에 적용하여 실험을 통해 제안 수법의 타당성과 탐색성능 향상의 효과에 관해서 논하고자 한다.
REAL-TIME COMMUNICATION SERVICE IN WIRELESS LOCAL AREA NETWORK
Young-yeol Choo,Sooyol Ok,Jang Woo Kwon 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
This paper describes real-time communication support on IEEE 802.11 b Wireless Local Area Networks (WLANs). It has been known that IEEE 802.11 b is not suitable for applications requesting real-time communication service because CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance), which is medium access control scheme of IEEE802.11 b, is not be able to provide bounded medium access time. In this paper, we propose an algorithm to support real-time communication on a wireless local area network based on Timed Token Protocol. In this algorithm, we use a token to allocate bandwidth to each node so that the summation of each bandwidth allocation is the Target Token Rotation Time (TTRT). Upon receiving the token, a node consumes, at most, pre-allocated time for message transmission, and then passes it to the next node. If the node cannot consume the allocated time, the residual time is allocated to other nodes for non-periodic service using a timer which contains the unused time value and is appended to the token. This algorithm can always guarantee transmission of messages before their deadlines when network utilization is less than 50%