• Title/Summary/Keyword: HanBok

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Nonlinear Optical Fibers for Electro-optic Applications

  • Han, Won-Taek;Kim, Bok-Hyeon
    • Ceramist
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    • v.10 no.3
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    • pp.15-27
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    • 2007
  • Fabrication and electro-optic applications of glass optical fibers were reviewed. Theoretical description on the electro-optic Kerr effect in glass optical fibers, particularly for the second-order optical nonlinearity was given. Fabrication procedure and the characterization of the nonlinear electro-optic fibers with internal electrodes were described. Several electro-optic devices based on the polarimetric cells made by the nonlinear optical fibers with internal electrodes were also discussed with the experimental results on the electro-optic effect.

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The exponentiated extreme value distribution

  • Cho, Young-Seuk;Kang, Suk-Bok;Han, Jun-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.4
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    • pp.719-731
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    • 2009
  • This paper deals with properties of the exponentiated extreme value distribution. We derive the approximate maximum likelihood estimators of the scale parameter and location parameter of the exponentiated extreme value distribution based on multiply Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

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Estimation for the Triangular Distribution under Progressive Type-II Censoring

  • Kang, Suk-Bok;Han, Jun-Tae;Jung, Won-Tae
    • Communications for Statistical Applications and Methods
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    • v.15 no.5
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    • pp.765-774
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    • 2008
  • In this paper, we derive the approximate maximum likelihood estimators(AMLEs) and maximum likelihood estimator of the scale parameter in a triangular distribution based on progressive Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error through Monte Carlo simulation for various progressive censoring schemes.

A Study on Visual Contextual Awareness in Ubiquitous Computing (유비쿼터스 환경에서의 시각문맥정보인식에 대한 연구)

  • Han, Dong-Ju;Kim, Jong-Bok;Lee, Sang-Hoon;Suh, Il-Hong
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.19-21
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    • 2004
  • In many cases, human's visual recognition depends on contextual information. We need to use effective feature information for performing vigorous place recognition to illumination, noise, etc. In the existing cases that use edge and color, etc., visual recognition doesn't cope effectively with real environment. To solve this problem, using natural marker, we improve the efficiency of place recognition.

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