• Transactions of the Society of Information Storage Systems
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• v.1 no.2
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• pp.115-120
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• 2005

As a popularity of a portable digital device such as a cellular phone, a digital camera and a MP3 player is spreading, the demand of the mobile storage device increases rapidly. A bluray technology using 405nm laser diode and objective lens having high NA(Numerical Aperture), 0.85, satisfies a miniaturization and a high capacity which are the requirements of the portable device. To develop SFFOP(small form factor optical pickup), it is prerequisite to minimize the number of optical components and establish evaluation and assembly method of micro optical pickup system as well as mass production method of micro optical component. To minimize optical elements of optical pickup, there have been many researches to use P-HOE(Polarized Holographic Optical Element) due to its extremely small size and versatile function. However, P-HOE is handled and assembled very accurately in SFFOP. In this paper, static error signal detection method is developed for an alignment of P-HOE in SFFOP. Using developed static error signal detection method, P-HOE can be aligned very accurately with real time result of static error signals of pickup such as FES(focusing error signal) and TES(Tracking Error Signal). The developed static error signal detection method is verified by the evaluation of commercialized DVD Pickup. And finally. developed static error signal detection method is applied for the assembly of P-HOE in SFFOP system satisfies specification of BD(Blu-ray Disk).

• YAKHAK HOEJI
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• v.55 no.3
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• pp.247-250
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• 2011

An increase in ventricular pressure can alter cardiac excitation and contraction. Recent report has demonstrated that fluid pressure (FP) suppresses L-type $Ca^{2+}$ current with acceleration of the current inactivation in ventricular myocytes. Since the L-type $Ca^{2+}$ channels known to be regulated by intracellular pH ($pH_i$), this study was designed to explore whether pressurized fluid flow affects pHi in isolated rat ventricular myocytes. A flow of pressurized (~16 dyne/$cm^2$) fluid, identical to that bathing the myocytes, was applied onto single myocytes, and intracellular $H^+$ concentration was monitored using confocal $H^+$ imaging. FP significantly decreased $pH_i$ by $0.07{\pm}0.01$ pH units (n=16, P<0.01). Intracellular acidosis enhances the activity of $Na^+-H^+$ exchanger (NHE). Therefore, we examined if the NHE activity is increased by FP using the NHE inhibitor, HOE642. Although HOE642 did not alter $pH_i$ in control conditions, it decreased $pH_i$ in cells pre-exposed to FP, suggesting enhancement of NHE activity by FP. In addition, FP-induced intracellular acidosis was larger in cells pre-treated with HOE642 than in cells under the control conditions. These results suggest that FP induces intracellular acidosis and that NHE may contribute to extrude $H^+$ during the FP-induced acidosis in rat ventricular myocytes.

• Journal of the Korea Construction Safety Engineering Association
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• s.43
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• pp.48-49
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• 2007

• Proceedings of the Optical Society of Korea Conference
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• 1990.07a
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• pp.87-93
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• 1990

Estimation and collection of the suitable recording materials are important for the fabrication of the holographic optical elements. In this study, silver halide emulsion, photoresist and dichromated gelatin are selected as a recording materials to investigate the properties and processing methods. Some parameters which affect the diffraction efficiencies of the holographic optical elements (HOE) are presented. As an example of the HOE, the results of design and the fabrication method of the off axis 12P hologram lens are also presented.

• Korean Journal of Weed Science
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• v.11 no.2
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• pp.87-99
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• 1991

The experimental growth regulators Hoe78784 and PP-333 significantly reduced lodging in all rices. However, they did not significantly affect the crop vegetative characteristics and yield components, except by decreasing plant height when both growth regulators were applied at booting stage. Grain yield of IR21820-154-3-2-2-3 increased due to reduced lodging when Hoe78784 and PP-333 were applied at booting. These growth regulators increased the thickness and diameter of the culm. Applying CCC did not affect lodging in all test varieties. CCC-treated varieties and the control showed lower number of vascular bundles and culm thickness and diameter of the third and fourth internodes. Hoe78784 and PP-333 significantly reduced internode length from the second to the third internode in short-statured varieties. In tall varieties. reduction extended up to the fourth internode. Culm N content of the varieties did not significantly differ among treatments, except in IR8. Culm P content also did not differ significantly among treatments. although K and Si content was the highest than control when Hoe78784 was applied.

• East Asian mathematical journal
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• v.14 no.2
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• pp.421-427
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• 1998

In this paper we provide sufficient conditions which ensure the strong consistency of $L_p$-norm estimation in nonlinear regression model when the probability distribution of the errors term is symmetric about zero. The least absolute deviation and least square estimation are discussed as special cases of the proposed estimation.

• Proceedings of the Korean Ceranic Society Conference
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• 2002.10a
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• pp.200.2-200
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• 2002

• 대한두경부종양학회:학술대회논문집
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• 1995.11a
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• pp.202.1-202.1
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• 1995

• Communications for Statistical Applications and Methods
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• v.15 no.3
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• pp.343-351
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• 2008

By supervised learning with p predictors, we frequently obtain a prediction function of the form $y\;=\;f(x_1,...,x_p)$. When $p\;{\geq}\;3$, it is not easy to understand the inner structure of f, except for the case the function is formulated as additive. In this study, we propose to use p simple graphs for visual understanding of complex prediction functions produced by several supervised learning engines such as LOESS, neural networks, support vector machines and random forests.

• Communications for Statistical Applications and Methods
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• v.20 no.6
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• pp.491-498
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• 2013

We consider support vector machines(SVM) to predict Y with p numerical variables $X_1$, ${\ldots}$, $X_p$. This paper aims to build a biplot of p explanatory variables, in which the first dimension indicates the direction of SVM classification and/or regression fits. We use the geometric scheme of kernel principal component analysis adapted to map n observations on the two-dimensional projection plane of which one axis is determined by a SVM model a priori.