• 제목/요약/키워드: Lee Jung-Eom

검색결과 389건 처리시간 0.037초

빛의 간섭 구조를 이용한 광 저울 개발 (Development of Optic Balance Using Interference of Light)

  • 최훈;박경수;이정렬;엄진섭
    • 산업기술연구
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    • 제24권A호
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    • pp.127-131
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    • 2004

  • In this paper, we proposed an optical balance using a Michelson Interferometer structure. The frequency of the interference signal is changed nonlinearly related with a weight to be measured, and this frequency change is processed by a processor to give a measured weight. Several measurements were performed and the good results were obtained with the fluctuation of about 1g.

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The Robot Arm Control by EMG Pattern Recognition

  • Kim, Joo-Woong;Jung, Kyung-Kwon;Park, Jin-Seong;Eom, Ki-Hwan;Son, Dong-Seol;Lee, Hyun-Kwan
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.81.3-81
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    • 2002

  • $\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 EMG Signals and Measurement $\textbullet$ Contents 3 Intelligent Algorithm $\textbullet$ Contents 4 Improved LVQ $\textbullet$ Contents 5 Experiment $\textbullet$ Contents 6 Conclusion

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Development of optical fiber source to apply OCT systems

  • 엄태중;;유봉안;신우진;이영락;지상윤;고도경;김창석;정은주
    • 한국광학회:학술대회논문집
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    • 한국광학회 2008년도 동계학술발표회 논문집
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    • pp.305-306
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    • 2008

  • We have developed several types of optical sources for OCT applications. A high nonlinear PCF with end sealing and a short pulse laser were used to improve of OCT resolution. Additionally, an wavelength sept fiber laser was also developed for frequency-domain OCT.

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무선 센서 네트워크의 채널 분석 (Channel Analysis of Wireless Sensor Networks)

  • 정경권;이용구;엄기환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.1009-1010
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    • 2006

  • In this paper we present the results of measurements that have been performed in order to obtain more accurate indoor channel models to feed realistic simulation for the wireless sensor network technology. This may contribute to obtain more reliable results and analysis of wireless sensor networks.

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EEG 패턴인식 (EEG Pattern Recognition)

  • 이용구;정경권;엄기환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.1017-1018
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    • 2006

  • We measured EEG, extracted the feature vectors using alpha and beta rhythm from the measured EEG and pattern recognition was simulated by using the feature vector and the algorithms which are conventional LVQ and Forward only Counter Propagation Networks. And then the successful rate of pattern class of EEG data had about 76 %.

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