• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.400-400
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• 2011

습식 식각과 RIE (reactive ion etching) 텍스처링 된 다결정 실리콘 태양전지의 라미네이팅 공정 전 후에 양자 효율과 광학적 특성 및 전기적 특성의 변화를 관찰 하였다. 두 식각 방법을 이용해 라미네이팅 공정 전 습식 식각의 표면 텍스처 태양전지에 비해 RIE 표면 텍스처태양전지에서 높은 양자 효율이 관측 되었지만, 라미네이팅 공정 후에 두 셀을 비교해 보면 RIE 텍스처링 된 것의 양자 효율이 더 낮아지는 것을 확인 할 수 있었다. 300~1,100 nm의 파장 범위에서 10 nm의 간격으로 양자효율, 반사율, 투과율, 흡수율 및 변환 효율을 측정하였다. 또한, 공정 전 후의 셀의 dark current를 측정하였다. 위 연구 결과를 통해 라미네이팅 공정에 따른 다결정 실리콘 태양전지의 특성 변화를 분석 하였다.

• Proceedings of KHEA Conference
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• 2004.04a
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• pp.156-156
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• 2004

• Proceedings of the Korean Society of Food and Cookery Science Conference
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• 2005.05a
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• pp.90-90
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• 2005

• Proceedings of the Korean Society of Food and Cookery Science Conference
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• 2005.05a
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• pp.91-91
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• 2005

• Proceedings of the Korean Society of Food and Cookery Science Conference
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• 2005.05a
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• pp.94-94
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• 2005

• Review of Korea Contents Association
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• v.3 no.2
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• pp.31-37
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• 2005

• Proceedings of the Korean Society of Food and Cookery Science Conference
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• 2005.10a
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• pp.100-100
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• 2005

• Journal of Korea Multimedia Society
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• v.16 no.2
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• pp.169-179
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• 2013

Change detection algorithms take two image frames and return the locations of newly introduced objects which cause differences between the images. This paper presents a new change detection method, which classifies intensity changes due to introduced objects, reflected light and shadow from the objects to their neighborhood, and the noise, and exactly localizes the introduced objects. For classification and localization, first we analyze the histogram of the intensity difference between two images, and estimate multiple threshold values. Second we estimate candidate object boundaries using the gradient difference between two images. Using those threshold values and candidate object boundaries, we segment the frame difference image into multiple regions. Finally we classify whether each region belongs to the introduced objects or not using textures in the region. Experiments show that the proposed method exactly localizes the objects in various scenes with different lighting.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.1
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• pp.41-48
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• 2009

This Paper introduces representation and coding schemes of multiview texture and depth data for complex three-dimensional scenes. We represent input color and depth images using compressed texture and depth map pairs. The proposed X-codec encodes them further to increase compression ratio in a near-lossless way. Our system resolves two problems. First, rendering time and output visual quality depend on input image resolutions rather than scene complexity since a depth image-based rendering techniques is used. Second, the random access problem of conventional image-based rendering could be effectively solved using our image block-based compression schemes. From experimental results, the proposed approach is useful to graphics applications because it provides multiview rendering, selective decoding, and scene manipulation functionalities.

• Korean Journal of Remote Sensing
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• v.31 no.3
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• pp.255-265
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• 2015

Very high resolution (VHR) satellite imagery provide valuable information on urban change monitoring due to multi-temporal observation over large areas. Recently, there has been increased interest in the urban change detection technique using VHR Synthetic Aperture Radar (SAR) imaging system, because it can take images regardless of solar illumination and weather condition. In this paper, we proposed a texture-based urban change detection method using the VHR SAR texture features generated from Gray-Level Co-Occurrence Matrix (GLCM). In order to evaluate the efficiency of the proposed method, the result was compared, visually and quantitatively, with the result of Non-Coherent Change Detection (NCCD) which is widely used for the change detection of VHR SAR image. The experimental results showed the greater detection accuracy and the visually satisfactory result compared with the NCCD method. In conclusion, the proposed method has shown a great potential for the extraction of urban change information from VHR SAR imagery.