• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.2
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• pp.65-73
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• 2011

In this paper, we present a novel digital multifocusing approach using adaptive region-based histogram equalization for the multiple color-filter aperture (MCA) system with insufficient amount of incoming light. From the image acquired by the MCA system, we can estimate the depth information of objects at different distances by measuring the amount of misalignment among the RGB color planes. The estimated depth information is used to obtain multifocused images together with the process of the region-of-interests (ROIs) classification, registration, and fusion. However, the MCA system results in the low-exposure problem because of the limited size of the apertures. For overcoming this problem, we propose adaptive region-based histogram equalization. Based on the experimental results, the proposed algorithm is proved to be able to obtain in-focused images under the low light level environment.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.1
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• pp.15-24
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• 2008

This paper proposes a scheme of global image contrast enhancement using local contrast improvement. Methods of global image contrast enhancement redistribute the image gray level distribution using histogram equalization without considering image properties, and cause the result image to include image pixels with excessive brightness. On the other hand, methods of the block-based local image contrast enhancement have blocking artifacts and a problem of eliminating important image features during an image process to reduce them. In order to solve these problems, the proposed method executes the block-based histogram equalization on temporary images that an input image is divided into various fixed-size blocks. And then it performs the global contrast enhancement by applying the global histogram equalization functions to the original input image. Since the proposed method selects the best histogram equalization function from temporary images that are improved by the block-based local image contrast enhancement, it has the advantages of both the local and global image contrast enhancement approaches.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.10-10
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• 2010

가시광역에서 80% 이상의 높은 투과율과 전기전도성을 동시에 갖는 투명전도성 산화물(TCO) 박막은 LCD, PDP, OLED, 태양전지 등의 다양한 분야에 투명전극재료로서 사용되고 있다. 이들 TCO 박막은 Magnetron sputtering, Chemical vapor deposition, Pulse laser deposition, Ink jet등과 같은 다양한 방법으로 증착할 수 있지만, 대면적의 기판에 균일한 박막형성 및 박막과 기판의 높은 부착력등 양산성의 관점에서 우월성을 가지고 있기 때문에 생산라인에서는 DC magnetron sputtering법이 주로 사용되고 있다. 이 경우, 산화물 박막의 미세구조, 내부응력, 광학적 및 전기적 특성은 스퍼터링 과정에서 발생하는 고에너지 입자들의 기판입사 충격에 크게 의존하기 때문에 고품질의 TCO박막을 제작하기 위해서는 증착공정인자들의 제어는 매우 중요한 것으로 알려져 있다. 대표적 TCO박막재료로서 $In_2O_3$계, ZnO계 및 $SnO_2$계를 들 수 있으며, 이들 중에서 Sn을 $In_2O_3$에 치환고용시킨 ITO박막의 경우, 전기적 및 광학적 특성이 상대적으로 우수하기 때문에 실용화 TCO박막으로서 가장 널리 사용되고 있다. 한편, Flexible display의 경우, 유연성의 폴리머기판위에 증착되는 TCO박막에 대하여 요구되는 특성으로는 높은 투과율 및 낮은 비저항은 물론, 박막표면의 평활도 (낮은 표면조도), bending에 대한 높은 기계적 특성 (낮은 내부응력), 수분침투에 대한 높은 barrier특성 및 저온공정 등을 들 수 있다. 그러나 높은 전기전도도를 가지는 ITO박막을 제작하기 위해서는 $200^{\circ}C$ 이상의 증착온도가 필요하며, 이때 얻어진 다결정의 ITO박막은 높은 표면조도 및 bending시에 낮은 기계적 내구성이 문제점으로 지적되고 있다. 한편, 기판가열 없이 증착한 비정질 ITO박막은 낮은 표면조도, 높은 엣칭속도 및 양호한 식각특성을 나타내지만, 상대적으로 높은 비저항 및 기판과의 낮은 부착력 등이 지적되고 있다. 따라서 본 강연에서는 비정질 ITO박막의 결정화 온도 (약 $160^{\circ}C$) 이상에서도 비정질 구조를 유지하기 때문에 낮은 표면조도와 높은 엣칭속도를 가지면서 상대적으로 전기적 특성과 기계적 내구성이 개선된 새로운 고온형 비정질 TCO박막에 대한 최근의 연구성과를 소개하고자 한다.

• Korean Journal of Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.160-170
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• 2005

Because designers want to express various elevation, architectural concrete has recently paid attention to finish material and has increasingly used in the construction. architectural concrete needs more careful and professional supervision works such as controling quality of color, texture, construction plan, and design plan. none the less, It is not clear to define process and manage methods for the construction life-cycle, which causes the expense to increase and the quality to be poor. this study will analyze concrete finish method by dividing three parts which are common, exposed and architectural concrete finish method. definition and the limit of application in architectural concrete finish method will be present by comparing three methods. Throughout an interview with a staff in charge and a case study, this paper shows the requirement and the keynote of management which are divided by three steps; the design, construction and maintenance. finally, this research provides management methods of individual steps for effective construction.

• The KIPS Transactions:PartD
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• v.13D no.2 s.105
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• pp.287-292
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• 2006

There are two problems associated with the existing principal component analysis, which is regarded as the most effective in object recognition technology. First, it brings about an increase in the volume of calculations in proportion to the square of image size. Second, it gives rise to a decrease in accuracy according to illumination changes. In order to solve these problems, this paper proposes wavelet transformation and histogram equalization. Wavelet transformation solves the first problem by using the images of low resolution. To solve the second problem the histogram equalization enlarges the contrast of images and widens the distribution of brightness values. The proposed technology improves recognition rate by minimizing the effect of illumination change. It also speeds up the processing and reduces its area by wavelet transformation.

• Korean Chemical Engineering Research
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• v.55 no.1
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• pp.1-6
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• 2017

More addition of calcium carbonate in printing paper allows savings of the wood fibers and the drying energy. Pre-flocculation of GCC (ground calcium carbonate) using functional polymers was known as the best available technology to make high loaded paper until now, and it allowed less reduction of the paper essential properties such as tensile strength and smoothness at higher GCC content. However, pre-flocculated GCC became unstable in size under the continued agitation in the mill. Therefore, pre-flocculation method was modified in such a way that the in-situ calcium carbonate was formed between the GCC particles of the pre-flocculated GCC, and the resultant became more stable in size, which we named as HCC (hybrid calcium carbonate). HCC turned out to make high tensile strength and smoothness as much as the pre-flocculated GCC and gave much better size stability against stirring. Furthermore, HCC gave high bulk that pre-flocculation could not make.

• Journal of Life Science
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• v.17 no.1 s.81
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• pp.45-50
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• 2007

This study investigated biological activity of tumor necrosis factor $(TNF)-\alpha$ secreted from smooth muscle cell (SMC) destined for death by expressing Fas associated death domain containing protein (FADD) (FADD-SMC) when the cells are grown without tetracycline in culture medium. In the absence of tetracycline the FADD-SMC secreted approximately 1000 pg/ml $TNF-\alpha$, whereas hardly detectable amount of the cytokine existed in the presence of tetracycline. The culture medium collected from the FADD-SMC grown in the absence of tetracycline increased phosphorylated form of p38 MAPK and up-regulated nuclear factor kappa B (NF-kB). The medium collected without tetracycline also caused death of L929 cells. Depletion of $TNF-\alpha$ with the soluble TNF receptor (sTNFR) inhibited the phosphorylation of p38 MAPK, the up-regulation of NF-kB activity and the death activity of the medium collected from FADD-SMC in the absence of tetracycline. These results indicate that $TNF-\alpha$ secreted from SMC undergoing death is biologically active and can affect cellular function.

• The Journal of the Acoustical Society of Korea
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• v.16 no.2
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• pp.71-79
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• 1997

In this paper, a codeword-dependent distance normalization(CDDN) and an instar-formed fuzzy smoothing of output distribution are proposed for robust estimation of output probabilities in the FVQ(fuzzy vector quantization)-DHMM(discrete hidden Markov model). The FVQ-DHMM is a variant of DHMM in which the state output probability is estimated by the sum oft he product of the output probability and its weighting factor for each codeword on an input vector. As the performance of the FVQ-DHMM is influenced by weighting factor and output distribution from a state, it is required to get a method to get robust estimation of weighting factors and output distribution for each state. From experimental results, the proposed CDDN method has reduced 24% of error rate over the conventional FVQ-DHMM, and also reduced 79% of error rate when the smoothing of output distribution is also applied to the computation of an output probability. These results indicate that the use of CDDN and the fuzzy smoothing of output distribution to the FVQ-DHMM lead to improved recognition, and therefore it may be used as an alternative to the robust estimation of output probabilities for HMMs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1378-1387
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• 2013

Histogram equalization, which stretches the dynamic range of intensity, is the most common method for enhancing the contrast of image. Contrast limited adaptive histogram equalization(CLAHE), proposed by K. Zuierveld, has two key parameters: block size and clip limit. These parameters mainly control image quality, but have been heuristically determined by user. In this paper, we propose a novel method of determining two parameters of CLAHE using entropy of image. The key idea is based on the characteristics of entropy curves: clip limit vs entropy and block size vs entropy. Clip limit and block size are determined at the point with maximum curvature on entropy curve. Experimental results show that the proposed method improves images with very low contrast.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.581-594
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• 2016

We introduce innovations state space exponential smoothing models (ISS-ESM) that can analyze time series with multiple seasonal patterns. Especially, in order to control complex structure existing in the multiple patterns, the model equations use a matrix consisting of seasonal updating parameters. It enables us to group the seasonal parameters according to their similarity. Because of the grouped parameters, we can accomplish the principle of parsimony. Further, the ISS-ESM can potentially accommodate any number of multiple seasonal patterns. The models are applied to predict electricity demand in Korea that is observed on hourly basis, and we compare their performance with that of the traditional exponential smoothing methods. It is observed that the ISS-ESM are superior to the traditional methods in terms of the prediction and the interpretability of seasonal patterns.