• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.344-363
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• 2009

The number of International college students has dramatically increased in Korea since 2000 as the government has made a consistent effort to draw in international students to strengthen the competitiveness of higher education and to improve the international balance of payments. An increase of incoming international students help Korean universities solve a current problem of decreasing student numbers and bring financial benefits. However, not much is known about their intentions and decision-making process. This study tries to investigate their immigration process and backgrounds that have not yet been dealt with seriously in academic areas. The immigration process can be divided into 3 steps - pre-immigration, settlement and adaptation, post-immigration. Characteristic of each step related to a main decision-making are investigated in the paper. Their decision for studying in Korea depends on various factors and conditions. Especially, economical, personal, and vocational factors or motives in combination influence their decision-making at each step.

• Journal of Korea Multimedia Society
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• v.9 no.11
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• pp.1445-1454
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• 2006

To compress a specific part of an image with high quality or to transfer it, JPEG2000 standard offers an ROI(Region-of-Interest) image coding method. What is important in ROI coding is to process relative importance between ROI and background and to process ROI mask. We propose an adaptive ROI coding method supplemented the existing Implicit ROI coding and Modified implicit ROI coding to improve image quality and reduce ROI mask information. The proposed method is an EBCOT-based ROI coding that extracts ROI from the compressed bitstream, and gets the ROI mask information by classifying the codeblocks into 6 patterns. The information includes the pattern type(3bit) and the width(5bit) expressing the boundary between two regions for each codeblock. As a result, the method shows an excellent compression performance in ROI region as well as in the whole region of an image.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.8
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• pp.669-679
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• 2013

When an image is converted from HDR (high dynamic range) to LDR (low dynamic range), a tone mapping process is the essential component. Many TMOs (tone mapping operators) have been motivated by human vision which has lower physical luminance range than that in real scene. The representative of human vision properties which motivate TMOs is the local adaptation. However, TMOs are ultimately compressing image information such as contrast, saturation, etc. and the compression causes defects in image quality. In this paper, in order to compensate the degradation of the image which is caused by TMOs, the visual acuity-based edge stop function is proposed for applying the property of human vision to base-detail separation. In addition, using CSF (contrast sensitivity function) which represents the relationship among spatial frequency, contrast sensitivity, and luminance, the sharpness filter is designed and adaptively applied to the detail layer in regard to surround luminance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.12C
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• pp.1055-1061
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• 2008

H.264 is the prominent video coding standard in various applications such as real-time streaming and digital multimedia broadcasting, since it provides enhanced compression performance, error resilience tools, and network adaptation. Compression efficiency of H.264 has been improved, however, it requires more computing and memory access than traditional methods. In this paper we proposed adaptive intra fast algorithm for real-time video surveillance system reducing the encoding complexity of H264/A VC. For this aim, temporal interrelationship between macroblock in the previous and the current frame is used to decide the encoding mode of macroblock fast. As a result, though video quality was deteriorated a little, less than 0.04dB, and bit rate was somewhat increased in suggested method, however, proposed method improved encoding time significantly and, in particular, encoding time of an image with little changes of neighboring background such as surveillance video was more shortened than traditional methods.

• Korean Journal of Social Welfare
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• v.63 no.4
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• pp.183-202
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• 2011

The purpose of this study is to examine mediating effects of social adaptation on the relationship between employment status and mental health in a sample of marriage immigrant women. Social adaptation was assessed with Korean proficiency and the length of residence in Korea. Participants comprised of a total of 247 marriage immigrant women who reside in Seoul, Incheon, Gyeonggi-Do. The data were analyzed by the PASW Statistics 18.0 and the AMOS 18.0 software. The results showed that the social adaptation was a full mediator of the relationship between employment status and mental health. It is plausible to state that employment status may enhance social adaptation, which in turn improve mental health among marriage immigrant women. The implication of our findings is that as employment and social adaptation are important elements of mental health among the marriage immigrate women, education and social support system regarding these antecedent factors should be implemented.

• Journal of Information Technology Applications and Management
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• v.10 no.3
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• pp.45-54
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• 2003

Security system with web camera remarkably has been developed at an Internet era. Using transmitted images from remote camera, the system can recognize current situation and take a proper action through web. Existing motion detection methods use simply difference image, background image techniques or block matching algorithm which establish initial block by set search area and find similar block. But these methods are difficult to detect exact motion because of useless noise. In this paper, the proposed method is updating changed background image as much as $N{\times}M$pixel mask as time goes on after get a difference between imput image and first background image. And checking image pixel can efficiently detect motion by computing fixed distance pixel instead of operate all pixel.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.259-262
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• 2009

본 논문에서는 정확한 비디오 객체 분할을 위한 글로벌 가우시안 모델 기반의 이동 외부 그림자영역 검출방법을 제안한다. 이 방법은 현재 픽셀과 배경 픽셀의 컬러 벡터간의 사이 각을 가중치 함수로 변환하고, 이를 그림자 모델의 확률 밀도에 곱하여 구한 값을 그림자 검출에 사용하고 이를 다시 그림자 모델의 입력으로 하여 검출된 픽셀 들의 분포가 자동으로 영상의 실제 그림자 분포에 근접하게 하였다. 또한, 잘못 검출된 그림자 영역을 제거하기 위해 영역의 위치 정보를 이용한다. 실험 결과를 통해 제안하는 방법은 적응적으로 그림자를 검출하면서도 높은 분할 정확도를 가지고 있음을 보인다.

• Journal for History of Mathematics
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• v.19 no.3
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• pp.113-122
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• 2006

We investigate the mathematical background, statistical methodology, and the teaching of computer-software field using smoothing methodology in this paper. Also we investigate conception and methodology of histogram, kernel density estimator, adaptive kernel estimator, bandwidth selection based on mathematics and statistics.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.355-358
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• 2012

배경 영상에서 움직이는 물체 검출은 대상의 정확한 분류나 움직임, 패턴의 이해 또는 감시 시스템에 활용이 된다. 동적 물체 검출을 위한 여러 방법이 연구되고 제시되었으며, 그 중 일반적으로 차 영상 검출 방법이 많이 사용된다. 이는 시간적으로 연속된 영상 프레임간의 차를 구하고, 이 차 영상에 임계값을 설정하여 이진 영상을 만들어 물체를 검출한다. 기존 여러 연구에서는 이 임계값을 대부분을 고정하여 사용하거나 특정 환경에만 적합하게 설정하였다. 본 논문에서는 주변 환경에 적응하여 임계값을 자동으로 설정하는 방법을 제시하였고, 차 영상 검출 방법에 실제 적용하여 기존 방법에 비해 더 나은 결과를 확인하였다.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.2
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• pp.52-61
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• 2006

For the detection of moving objects, background subtraction methods are widely used. An adaptive Gaussian mixture model combined with probabilistic learning is one of the most popular methods for the real-time update of the complex and dynamic background. However, probabilistic learning approach does not work well in high traffic regions. In this paper, we Propose a reliable learning method of complex and dynamic backgrounds in high traffic regions.