• Title/Summary/Keyword: Dong-jin Park

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A Case Report of Miller Fisher Syndrome (밀러피셔증후군의 불면증 환자 치험 1례)

  • Cha, Hye-Jin;Lee, Ji-Won;Seo, Young-Min;Seo, Deok-Won;Park, Se-Jin
    • Journal of Oriental Neuropsychiatry
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    • v.20 no.3
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    • pp.229-236
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    • 2009

  • Objectives : This study is designed investigate the effect of oriental medial therapy on a 63 year old female patient had Miller Fisher Syndrome with sleeplessness. Methods : We experienced a case of Miller Fisher Syndrome and treated with herbal medicine, eletro-acupuncture. The effects of treatment were measured by sleeping hour, taken measurements with a ruler(eyeball movement). Results : Whole condition (ophthalmoplegia, ataxia and so on) was improved and Oriental treatment had a good effect on sleeping hour. Conclusions : Oriental medical treatments were very effective for the patient had Miller Fisher Syndrome with sleeplessness.

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Implementation of Evolving Neural Network Controller for Inverted Pendulum System (진화형 신경회로망에 의한 도립진자 제어시스템의 구현)

  • Shim, Young-Jin;Kim, Min-Sung;Park, Doo-Hwan;Choi, Woo-Jin;Ha, Hong-Gon;Lee, Joon-Tark
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3013-3015
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    • 2000

  • The stabilization control of Inverted Pendulum(IP) system is difficult because of its nonlinearity and structural unstability. Futhermore, a series of conventional techniques such as the pole placement and the optimal control based on the local linearizations have narrow stabilizable regions, At the same time, the fine tunings of their gain parameters are also troublesome, Thus, in this paper, an Evolving Neural Network ControlleY(ENNC) which its structure and its connection weights are optimized simultaneously by Real Variable Elitist Genetic Algorithm (RVEGA) was presented for stabilization of an IP system with nonlinearity, This proposed ENNC was described by a simple genetic chromosome. Through the simulation and experimental results, we showed that the finally acquired optimal ENNC was very useful in the stabilization control of IP system.

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