• Korean Journal of Mineralogy and Petrology
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• v.36 no.1
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• pp.41-54
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• 2023

Illite is a common mineral that forms readily from feldspar and mica via hydrothermal alteration and exhibits various characteristics depending on the degree of hydrothermal alteration. To ensure continued mining of high-quality illite ore, it is crucial to understand the illitization. Thus, this study collected ores from two illite ore deposit and their surrounding alteration zones in Yeongdong-gun, Chungcheongbuk-do, a significant source of illite in the Republic of Korea, to determine the constituent mineral contents and textural characteristics. Polarized light microscopy analyses revealed that the illite ore deposit were highly illitized with little remaining textural characteristics of the parent mica schist, and only some quartz was present. The ore zone contained illite, muscovite, quartz, and feldspar, with illitization primarily occurring around feldspar and quartz. X-ray diffraction analyses identified that the content of illite/muscovite was approximately 50-75 wt.%, with a maximum of 75 wt.%. Additionally, X-ray fluorescence analyses indicated a linear increase in K₂O content with increasing illite content, showing the highest correlation among the major components analyzed. It is suggested that the illite in the Yeongdong area results from feldspar and quartz alteration by hydrothermal fluids along the fault, with illitization of feldspar occurring before that of quartz. The results of this study are expected to contribute to the development of high-quality illite ore deposit in Yeongdong, Chungcheongbuk-do.

• KIPE Magazine
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• v.14 no.3
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• pp.24-28
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• 2009

• Proceedings of the Optical Society of Korea Conference
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• 2004.07a
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• pp.90-91
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• 2004

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.19 no.1
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• pp.6-14
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• 2005

• Proceedings of the Optical Society of Korea Conference
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• 2008.07a
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• pp.451-452
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• 2008

• Information Display
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• v.12 no.6
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• pp.30-37
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• 2011

• Information Display
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• v.3 no.5
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• pp.18-23
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• 2002

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.713-716
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• 2008

This paper presents an automatic back-light brightness control system for mobile displays. One of the most important factors in mobile display is the power consumption due to the limited and movable power source. More than 80% of power of the LCD display is consumed by LED bark-light unit (BLU). The target brightness also becomes higher because of its moving picture and high resolution image, so there are some side effects for not only excessive power consumption but also ergonomic inconvenience in dark environment. To prevent this discomfort and reduce power consumption, this paper proposes automatic brightness control (ABC) technique in mobile displays. Developed system contains TFT-LCD panel with built-in photo sensor, driver IC capable of controlling photo sensor, and BLU. Since the photo sensor array built in panel detects automatically outdoor ambient light intensity, the power of BLU in dark environment is reduced. Developed ABC system showed reduced power consumption of 50% in dark environment. We believe that the proposed system is very useful to control power of mobile TFT-LCD.

• Korean Journal of Optics and Photonics
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• v.21 no.2
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• pp.53-60
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• 2010

An integrated light guide plate (LGP) was designed for liquid crystal displays (LCD) without using prism and diffuser sheets. The integrated LGP is textured with micro-patterns on both the top and bottom surfaces. The textures effectively substitute for a single prism-sheet and a diffuser sheet in LCD displays without decreasing the brightness and uniformity. A LCD display with our integrated light guide is simulated to give average luminance of 4560 cd/$m^2$, luminance uniformity of 83% horizontal viewing angle $60^{\circ}$ and vertical viewing angle $56^{\circ}$. Therefore an ultra thin (slim) back light unit can be constructed with fewer optical sheets, which reduces the manufacturing cost and so improves price competitiveness.

• Journal of Advanced Navigation Technology
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• v.26 no.2
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• pp.113-118
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• 2022

Motivated by people highlighting important phrases while reading or taking notes we propose a neural network training method by highlighting defective pixel areas to classify effectively defect types of images with complex background textures. To verify our proposed method we apply it to the problem of classifying the defect types of tire band fabric images that are too difficult to classify. In addition we propose a backlight highlighting technique which is tailored to the tire band fabric images. Backlight highlighting images can be generated by using both the GradCAM and simple image processing. In our experiment we demonstrated that the proposed highlighting method outperforms the traditional method in the view points of both classification accuracy and training speed. It achieved up to 13.4% accuracy improvement compared to the conventional method. We also showed that the backlight highlighting technique tailored for highlighting tire band fabric images is superior to a contour highlighting technique in terms of accuracy.