• Food Science and Preservation
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• v.20 no.6
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• pp.805-809
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• 2013

This study was carried out to investigate the effects and characteristics of sausages with red yeast rice added, particularly the Monascus purpureus KFRI 1134 strains, and to decide the optimal quantity of red yeast rice used. The additional rate of red yeast rice which has been used as a material for reducing nitrite, a coupler in meat products were 0, 1, 3, and 5% (w/w). In terms of the effects of the red yeast rice on the color, texture properties, and sensory characteristics of the sausages, the optimal temperature at which color stability was shown was below $100^{\circ}C$, and the addition of 1% red yeast rice resulted in a distinctly attractive color and increasingly improved the red color in the UV-visual Spectrophotometer analysis. However, the addition of over 1% (w/w) resulted in an unattractive color. The red colors also had strong heat stability. The texture properties and taste of the sausages were not affected by the red yeast rice.

• Journal of KIISE:Software and Applications
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• v.36 no.4
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• pp.291-297
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• 2009

This paper introduces an electronic travel aid, named SmartWand, which detects obstacles using a ultrasonic sensor. In addition to obstacle detection, the SmartWand senses color information of objects and the environmental brightness. It is designed to be attached to a ordinary white cane in order to detect the obstacles at head-hight which cannot be covered by the cane. We have improved the first version of the SmartWand based on a user evaluation. The second version is much lighter and smaller than the previous one. It has been enhanced by two new functions. The SmartWand eliminates impact errors due to tapping the ground using a moving average filtering algorithm and restricts the detection range to the path in the moving direction using an acceleration sensor. We have tested these functions in various environments to determine the parameters for these functions.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.9
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• pp.129-138
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• 2014

Various interpolations for digital imaging devices with a single image sensor have proposed. However, conventional methods did not consider the resolution modus of image sensor using periodic sampling. Therefore, the resulting images have problems such as quality degradation and color artifacts(color moire, zipper). In this paper, we propose a color interpolation algorithm for pixel resolution modus of image sensor. The proposed algorithm consisted of an initial step to compensate edge prediction effectively and refinement step using minimum directions for pixel resolution modus. To analyze a result of the proposed algorithm with conventional methods, we evaluated subjectively using images quality comparison and objectively using PSNR(Peak Signal to Noise Ratio). Experimental results showed that the proposed algorithm was more successful in eliminating the color artifacts than conventional methods judged by both objective and subjective criteria.

• Journal of Broadcast Engineering
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• v.20 no.5
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• pp.738-747
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• 2015

It is difficult to use a recognition algorithm of an image in a foggy environment because the color and edge information is removed. One of the famous defogging algorithm is haze removal by using 'Dark Channel Prior(DCP)' which is used to predict for transmission rate using color information of an image and eliminates fog from the image. However, in case that the image has factors such as sunset or yellow dust, there is overemphasized problem on the color of certain channel after haze removal. Furthermore, in case that the image includes an object containing high RGB channel, the transmission related to this area causes a misestimated issue. In this paper, we purpose an enhanced fog elimination algorithm by using improved color normalization and haze rate revision which correct mis-estimation haze area on the basis of color information and edge information of an image. By eliminating the color distortion, we can obtain more natural clean image from the haze image.

• Journal of Broadcast Engineering
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• v.15 no.3
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• pp.332-345
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• 2010

A unified image enhancement method is proposed for high-resolution image which based on color constancy and histogram equalization using edge region. To speed up the method, smaller image is used when parameters of color constancy and histogram equalization are determined. In the color constancy process, nth-derivative of gaussian is applied to x and y axis separately in order to estimate the color of the illumination rapidly. In the histogram equalization process, the histogram obtained from near-edge region is used for the histogram equalization. In the experiments, high-resolution images taken by digital camcorder are used for verifying the performance of the proposed method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.4
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• pp.965-970
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• 2013

It is important work to extract saliency regions from an image as preprocessing for various image processing methods. In this paper, we introduce an improved method to estimate saliency value of each pixel from an image. The proposed method is an improved work of the previously studied method using color and statistical framework to estimate saliency values. At first, saliency value of each pixel is calculated using the local contrast of an image region at various scales and the most significant saliency pixel is determined using saliency value of each pixel. Then, saliency value of each pixel is again estimated using gauss weight with respect to the most significant saliency pixel and the saliency of each pixel is determined to calculate initial probability. At last, the saliency value of each pixel is calculated by Bayes' rule. The experiments show that our approach outperforms the current statistical based method.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.91-91
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• 2018

스마트폰 및 카메라 케이스 등에 널리 적용되고 있는 알루미늄은 내식성, 내마모성과 같은 물리적, 화학적 성질이 우수하지 못하여 이를 향상시키기 위해 양극산화법이 산업적으로 널리 이용되고 있다. 알루미늄에 양극산화법을 적용하면 강도, 내마모성 및 내식성이 향상될 뿐만 아니라 알루미늄 표면에 규칙적으로 배열된 30nm~100nm 크기의 pore에 염료를 흡착시켜 다양한 색상의 외관을 가지는 양극산화피막을 형성시킬 수 있다. Pore간의 간격은 수십 nm~수백 nm 정도이며, pore의 크기와 간격 및 깊이는 양극산화조건(양극산화 전압, 전해액의 종류와 농도 및 온도)에 의해 크게 변화한다. 본 연구에서는 CTSA를 통한 AA5052합금의 양극산화 착색처리와 내식성의 개선 여부를 조사하였다. 알루미늄은 Al5052에는 Mg 외에, 소량의 Si을 포함하고 있다. 이 Si는 알루미늄 표면에 석출물 형태로 존재한다. 이 Si 석출물은 양극산화 시 기지상의 알루미늄 표면의 pore 형성을 방해하는 원인이다. 이러한 Si 석출물의 존재가 균일한 pore 형성을 방해하게 되고, 불균일한 포어를 가지는 표면은 착색처리 시 색상의 편차를 크게하는 원인이 되어 불량률을 높인다. 이러한 요인을 개선하기 위해 CTSA의 처리조건을 최적화 하였다. Al5052 합금을 이용하여 에칭, 디스머트, CTSA처리를 실시하였다. $55^{\circ}C$ 100g/L NaOH 용액에서 에칭을, $25^{\circ}C$ 10 vol.% $HNO_3$ 용액에서 디스머트를 실시한 다음, CTSA의 조건을 다르게 하고 SEM을 통해 Si 석출물의 감소율을 비교하였다. CTSA조건으로는 시간(60s, 180s, 300s), 농도(10%, 20%, 30%, 40%) 및 온도($25^{\circ}C$, $40^{\circ}C$, $50^{\circ}C$, $60^{\circ}C$)를 변화시켰으며, CTSA 처리 전과 후의 시편의 위치를 동일하게 하여 비교하였다. 결과 적정 시간, 농도, 온도 조건하에 pore를 불균일하게 하는 Si 석출물들이 제거되는 것을 확인할 수 있었다. CTSA 처리는 온도가 높을수록, 시간이 길수록, 농도가 적당히 진할수록 석출물이 잘 제거되는 것을 확인하였다. 또한 CTSA처리가 알루미늄의 내식성에 미치는 영향을 확인하기 위해서 침적시험에 의한 무게감소율 및 전기화학측정을 실시하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2927-2936
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• 2013

In this paper, we propose a noise reduction and hole removal algorithm in order to improve the quality of depth images when they are used for creating 3D contents. In the proposed algorithm, the depth image and the corresponding color image are both used. First, an intensity image is generated by converting the RGB color space into the HSI color space. By estimating the difference of distance and depth between reference and neighbor pixels from the depth image and difference of intensity values from the color image, they are used to remove noise in the proposed algorithm. Then, the proposed hole filling method fills the detected holes with the difference of euclidean distance and intensity values between reference and neighbor pixels from the color image. Finally, we apply a parallel structure of GPGPU to the proposed algorithm to speed-up its processing time for real-time applications. The experimental results show that the proposed algorithm performs better than other conventional algorithms. Especially, the proposed algorithm is more effective in reducing edge blurring effect and removing noise and holes.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.101-108
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• 2021

Modern people are suffering from a lack of exercise along with their daily lives, and the foot's pedigree disease is increasing as a result, foot pedigree disease is also increasing. As a result, the design of socks is diversifying, and among them, the development of toe socks that help prevent and alleviate foot problems is also actively underway. Thus, this study conducted a study on toe socks design and summarized the concept of toe socks design through theoretical background. It also established tasks to be used for usability evaluation through case studies and prior research. An empirical study showed that the satisfaction of toe socks design was lower than that of ordinary socks, and that of toe socks design was more satisfactory in terms of usability. As a result, improvements in toe sock design have been derived, and it is expected that the hidden partitions between first toe sock can be supplemented, and toe sock design can be improved through similar color scheme and color diversification.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.226-229
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• 2011

얼굴검출기술의 발전으로 인하여, 다양한 분야에 얼굴 검출을 활용한 기술이 이용되고 있다. 최근 Viola 와 Jones 의 얼굴검출 방법이 신뢰도 있는 검출률과 빠른 연산속도로 인하여 주로 이용되고 있다. 하지만 고해상도 이미지와 제한된 하드웨어를 사용하는 시스템의 경우, 실시간 처리가 어려워지는 문제가 있다. 본 논문에서는 이와 같은 문제를 해결하고자 거리 정보를 이용한 빠른 얼굴검출방법을 제안한다. 속도 개선을 위해 먼저 거리 정보를 이용하여 영상의 불필요한 부분을 제거하고, 피부색상정보를 이용하여 관심영역을 설정한다. 또 크기에 대응하기 위해 피라미드 이미지를 이용하는 방법 대신, 거리 정보를 이용하여 얼굴의 크기를 추정한다. 마지막으로 검색창 내의 거리 분산을 계산하여, 평평하거나 굴곡이 심한 영역을 제거함으로 얼굴 검출 속도를 개선하였다. 실험결과 기존 방법에 비해 더 빠른 검출속도와 유사한 검출성능을 확인할 수 있었다.