• 대한자기공명의과학회:학술대회논문집
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• 대한자기공명의과학회 2004년도 제9차 학술대회 초록집
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• pp.44-44
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• 2004

• 대한기계학회논문집A
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• 제22권4호
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• pp.801-810
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• 1998

Modeling and analysis of dynamic systems generally demand their resutls to be interpreted each other with a physical sense. It sometimes requires that there should exist a unified tool in the treatment of dynamic systems which can be applied to both their modeling and analysis equally. This paper shows how models just after the progress of modeling via bond graph standards are converted to ones which are appropriate for analyzing a dynamic system in the frequency domain. Four bond graph prototypes are introduced to obtain frequency properties of dynamic systems such as zero stability, relative order, zero and pole dynamics, etc. directly from bond graphs, and the method are proposed which reduces nearly all models of bond graph standards to one of the prototypes without any change of physical similarity. This procedure as a tool for the structural reduction of bond graphs and finding frequency properties of a dynamic system is further investigated to survey its effectiveness through an example.

• 대한전기학회논문지:전력기술부문A
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• 제48권4호
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• pp.419-427
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• 1999

We propose an algorithm for obtaining the optimal node number of hidden units in dynamic neural networks. The dynamic nerual networks comprise of dynamic neural units and neural processor consisting of two dynamic neural units; one functioning as an excitatory neuron and the other as an inhibitory neuron. Starting out with basic network structure to solve the problem of control, we find optimal neural structure by multiplication and combining dynamic neural unit. Numerical examples are presented for nonlinear systems. Those case studies showed that the proposed is useful is practical sense.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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• pp.60-64
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• 1995

The conventional neural network models are a parody of biological neural structures, and have very slow learning. In order to emulate some dynamic functions, such as learning and adaption, and to better reflect the dynamics of biological neurons, M.M. Gupta and D.H. Rao have developed a 'dynamic neural model'(DNU). Proposed neural unit model is to introduce some dynamics to the neuron transfer function, such that the neuron activity depends on internal states. Integrating an dynamic elementry processor within the neuron allows the neuron to act dynamic response Numerical examples are presented for a model system. Those case studies showed that the proposed DNU is so useful in practical sense.

• Physical Therapy Rehabilitation Science
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• 제9권4호
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• pp.269-274
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• 2020

Objective: There are many cases of applying various taping methods to prevent muscle damage and to assist with movement. The purpose of this study was to investigate and to compare the effects of dynamic taping on joint position sense and to find out the difference in error values during various degrees of shoulder flexion. Design: Cross-sectional study. Methods: A total of 20 subjects participated in this study with a randomized cross-over design. The order of taping was adjusted by randomly proceeding with dynamic taping, sham taping, and no taping. After the taping, the proprioception of the shoulder joint was evaluated. The evaluation of proprioceptive sensation was performed by evaluating joint position sensation. The sequence was adjusted by randomly performing joint position tests at each shoulder flexion of 50, 90, and 110 degrees. All angles were repeated 3 times. Results: There was a significant difference between dynamic taping and no taping in 50 degrees of shoulder flexion. There was a significant difference between sham taping and no taping in 90 degrees of shoulder flexion (p<0.05). No significant difference was found in 110 degrees of shoulder flexion. Conclusions: In this study, it was confirmed that dynamic taping is effective in improving the joint position sense in 50 degrees of shoulder flexion. In the future, it is expected that further studies will be conducted on patients with shoulder dysfunction with decreased proprioception.

• 한국컴퓨터정보학회논문지
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• 제28권7호
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• pp.95-102
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• 2023

이 연구의 목적은 8주간의 코어 훈련이 스키선수의 동적자세조절, 하체 손상 및 고유수용성 관절위치감각에 미치는 영향을 보고자 하였다. 이 연구에 참여한 대상자는 스키선수 20명으로 무작위로 코어 운동군 10명과 통제군 10명으로 분류하였다. 코어 훈련프로그램은 벤치, 사이드웨이 벤치, 프랜크, 사이드 브리지 및 서파인 브리지로 구성하였고, 8주간 주 3회 실시하였다. 연구 결과 동적자세조절 검사는 좌·우측 후방안쪽 뻗기에서 유의한 효과가 있었고, 하체 손상 준거 검사는 좌·우측 종합점수에서 통계적으로 유의한 효과가 있었다. 또한 고유수용성 관절위치감각은 왼발 15°과 왼발 45°에서 유의한 감소가 있었다. 결론적으로 8주간의 코어 훈련은 스키선수의 동적자세조절 능력, 하체 손상 감소 및 관절위치감각을 향상시키는 것으로 나타났다.

• 한국산업정보학회논문지
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• 제4권4호
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• pp.94-99
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• 1999

가상 현실 기술은 사용자가 현실과 유사한 방법으로 정보를 공유할 수 있는 방법이다. 가상 현실기술은 인간의 오감을 이용한 사실적인 환경을 제공하고 인터넷 환경에서 사용자는 가상 현실 공간을 공유할 수 있는 장점을 가지고 있다. 이러한 가상 공간을 이용하여 갤러리를 모의 구현하고 갤러리 정보영역에 미술작품의 내용을 음성 데이터베이스로 구성한다. 외부의 사용자는 대리인(avatar)을 통하여 가상현실갤러리에서 미술작품을 감상할 수 있다. 본 논문은 감상자가 미술작품에 근접했을 경우 감상의 질을 높히기 위하여 해상도를 높히고, 큐레이터(curator)를 도입하여 미술작품 감상시 작품의 정보를 음성과 문자 메시지를 출력함으로서 상호 작용성을 높혀 사용자에게 현장감을 증대할 수 있다.

• 한국군사과학기술학회지
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• 제9권3호
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• pp.66-76
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• 2006

Sense and Respond Logistics(SARL) is a transformational, network-centric, knowledge-driven concept that enables joint effects-based operations and provides precise, agile support. Sense and respond logistics relies upon highly adaptive, self-synchronizing, and dynamic physical and functional processes. It predicts, anticipates, and coordinates actions that provide competitive advantage across the full range of military operations. In this research paper, we considered the essential prerequisite to introduce the appropriate SARL concept for the future warfare environment into the military logistics support system and also provide the conceptual alternatives to actualize the introduction of SARL.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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• pp.2713-2716
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• 2003

This paper presents a dynamic manipulability analysis method of the limb moving in viscous fluid. The key idea of the presented method is that the boundary of joint velocity can be converted to the velocity-dependant dynamic manipulability polytope through the coriolis, centrifugal and drag terms in dynamic equation. The velocity-dependant dynamic manipulability polytope is added to the inertial and restoring force manipulability polytope to get overall manipulability polytope of the limb moving in the fluid Each of the torque and velocity bounds arc considered in the infinite norm sense in joint space, and the drag force of a limb moving in fluid viscous is modeled as a quadratic form An analysis example with proposed analysis scheme is presented to validate the method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.384-384
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• 2000

In adaptive neuro-control, neural networks are used to approximate the unknown plant nonlinearities. Until now, most of the papers in the field of controller design fur nonlinear system using neural networks considers the affine system with fixed number of neurons. This paper considers nonaffne nonlinear systems and dynamic variation of the number of neurons. Control laws and adaptive laws for weights are established so that the whole system is stable in the sense of Lyapunov.