• Journal of the Daesoon Academy of Sciences
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• v.30
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• pp.201-234
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• 2018

'Woori Philosophy' is the modern philosophy of Korea. The purpose of this study is to make a hypothetical model of the methodologies used in Woori Philosophy, to analyze and classify this system of thought as it appears in the Jeon-gyeong (『典經』), to confirm the effectiveness of the model's application, and to present the model's methodological best practices. In this paper, I have made a standard for Woori Philosophy by combining existing studies. Thereby, although it is preliminary, I have presented the model as a way of achieving Woori philosophy by analysis and division of this thought in the Jeon-gyeong. As a result, the Jeongyeong's content is organized into an order in frequency which emerges as Model②, Model①, Essential Model, Model④, and Model③. These models can be evaluated to show that the Jeon-gyeong progressively inherited different schools of traditional Korean thought, while simultaneously characterizing them as Korean in many areas, never ignored the problems of the times or an awareness of the world, and furthermore, did not senselessly or blindly accept foreign objects spread into Korea from 1880~1890. Therefore, the Jeon-gyeong shows a comprehensive methodology for the implementation of Woori philosophy based on its own historical setting. It can be evaluated as the best practices which took many ideas and made those ideas its own. Through this, I was able to confirm its effectiveness as a methodology of Woori Philosophy and was able to extract its best practices. However, the ideas in the Jeon-gyeong did not directly become Woori Philosophy. To solve our problems in the 21st century, there is still an assignment to interpret these ideas through the application of this model. If the existing research on Daesoon Thought (大巡思想) is to become Woori Philosophy, then it should do so through the application of this model.

• 대한생식의학회:학술대회논문집
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• 2007.06a
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• pp.138-138
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• 2007

• Journal of the Korean Arthroscopy Society
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• v.11 no.2
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• pp.85-91
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• 2007

Purpose: To analyze the clinical results and second look arthroscopic findings of anterior cruciate ligament(ACL) reconstruction with a tibialis anterior tendon allograft and a hamstring tendon autograft. Materials and Methods: We reviewed the cases of athroscopic ACL reconstructions using allogenous tibialis anterior(TA) tendon and autogenous hamstring tendon done from March, 2002 to August, 2005 and followed-up more than 1 year. The 250 cases were included in this study and allogenous TA tendon was used in 150 cases and autogenous hamstring tendon in 100 cases. The mean follow-up period was 15 months and 14 months, respectively. The clinical evaluation was done by Lachman test, Pivot shift test, KT-1000 arthrometer and International Knee Documentation Committee(IKDC) knee score. Graft tension, synovial coverage were observed in cases of second look arthroscopy. Results: At final follow-up, there was no significance between the two groups in clinical examination. On second look arthroscopy, synovial coverage was better in autogenous hamstring tendon group than allogenous TA tendon group(p=0.005). But no difference was found in graft tension(p>0.05). Conclusion: There were no significant differences between the two groups in the clinical results. But autogenous hamstring tendon group had better synovial coverage than allogenous TA tendon group in second look arthroscopy.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.9-16
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• 2010

Moving object detection is to detect foreground object different from background scene in a new incoming image frame and is an essential ingredient process in some image processing applications such as intelligent visual surveillance, HCI, object-based video compression and etc. Most of previous object detection algorithms are still computationally heavy so that it is difficult to develop real-time multi-channel moving object detection in a workstation or even one-channel real-time moving object detection in an embedded system using them. Foreground mask correction necessary for a more precise object detection is usually accomplished using morphological operations like opening and closing. Morphological operations are not computationally cheap and moreover, they are difficult to be rendered to run simultaneously with the subsequent connected component labeling routine since they need quite different type of processing from what the connected component labeling does. In this paper, we first devise a fast and precise foreground mask correction algorithm, "Neighbor Foreground Pixel Propagation (NFPP)" which utilizes neighbor pixel checking employed in the connected component labeling. Next, we propose a novel moving object detection method based on the devised foreground mask correction algorithm, NFPP where the connected component labeling routine can be executed simultaneously with the foreground mask correction. Through experiments, it is verified that the proposed moving object detection method shows more precise object detection and more than 4 times faster processing speed for a image frame and videos in the given the experiments than the previous moving object detection method using morphological operations.

• Journal of the Korean association of regional geographers
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• v.11 no.3
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• pp.381-394
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• 2005

There is a little agreement about the characteristics of the company town proposed by the Federation of the Korean Industries(FKI). So the purpose of this study is to figure out the FKI's company town, It is begun with the history and the characteristics of the Western company town and the company town of Japanese type. The process of the company town issue from the first proposal of the FKI is examined. Particularly, the definitions, the examples and the expected effects of the company town in the reports supporting the FKI's proposal are explored. Western company town could be characterized by the economic simplicity and the important role of single firm for supply of jobs, houses, etc. In the light of the results of this study, the FKI's company town was based on the western company town especially in definition, influenced by the company town of Japanese type and then identified with industrial clusters. Consequently there is some disaccordance among the definitions, the examples and the expected effects of the FKI's company town. Giving shape to the FKI's company town project in desirable way, it should be developed in small scale at first, with many related enterprises and public institutions to meet their spatial demand and in related with the other new town projects, for example, future innovative city and innovative cluster.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.260-261
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• 2010

본 논문에서는 제작된 콘텐츠에 배경음을 간편하고 효과적으로 혼합하기 위해서 녹음된 신호(전경음)를 분석하여 배경음 에너지를 적응적으로 조절하는 배경음혼합 알고리즘을 제안한다. 이를 위해, 제안된 알고리즘은 등청감 곡선 (equal-loudness curve) 및 linear prediction (LP) 분석에 기반하여 전경음신호의 청감 에너지 및 음성신호 존재여부를 결정한다. 이에 따라 전경음에 음성신호가 존재하는 경우에는 음성이 명확하게 들릴 수 있도록 혼합된 배경음의 에너지를 하향 조절하고, 반대로 전경음에 음성신호가 존재하지 않는 경우에는 배경음이 명확하게 들릴 수 있도록 혼합된 배경음의 에너지를 상향 조절한다. 제안된 알고리즘의 효율성을 검증하기 위해, 고정 가중치를 이용하여 배경음을 혼합하는 경우와의 음질 선호도 조사를 실시한 결과, 제안된 알고리즘에 대한 높은 선호도를 보였다.

• Journal of the Korean Arthroscopy Society
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• v.14 no.2
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• pp.124-127
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• 2010

Pretibial ganglion cyst after arthroscopic anterior cruciate ligament reconstruction is a very rare complication, and a few are reported in and outside the country. Some authors report that it may break out with a variety of causes at any time. We experienced a case of pretibial ganglion cyst after arthroscopic anterior cruciate ligament reconstruction using Achilles tendon allograft and bioabsorbable interference screw in 34-year-old male. So we report this case including the cause and the treatment with a review of the literature.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.275-278
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• 2012

본 논문에서 2D-3D 자동 영상 변환을 위하여 2D 상으로부터 깊이 지도(depth map)을 생성하는 방법을 제안한다. 제안하는 방법은 보다 정확한 깊이 지도 생성을 위해 영상의 전경 깊이 지도(foreground depth map)와 배경 깊이 지도(background depth map)를 각각 생성 한 후 결합함으로써 보다 정확한 깊이 지도를 생성한다. 먼저, 전경 깊이 지도를 생성하기 위해서 라플라시안 피라미드(laplacian pyramid)를 이용하여 포커스/디포커스 깊이 지도(focus/defocus depth map)를 생성한다. 그리고 블록정합(block matching)을 통해 획득한 움직임 시차(motion parallax)를 이용하여 움직임 시차 깊이 지도를 생성한다. 포커스/디포커스 깊이 지도는 평탄영역(homogeneous region)에서 깊이 정보를 추출하지 못하고, 움직임 시차 깊이 지도는 움직임 시차가 발생하지 않는 영상에서 깊이 정보를 추출하지 못한다. 이들 깊이 지도를 결합함으로써 각 깊이 지도가 가지는 문제점을 해결하였다. 선형 원근감(linear perspective)와 선 추적(line tracing) 방법을 적용하여 배경깊이 지도를 생성한다. 이렇게 생성된 전경 깊이 지도와 배경 깊이 지도를 결합하여 보다 정확한 깊이 지도를 생성한다. 실험 결과, 제안하는 방법은 기존의 방법들에 비해 더 정확한 깊이 지도를 생성하는 것을 확인할 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.1981-1986
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• 2009

This paper presents new matting techniques. The matting is an alpha estimation technique of object in an image. We can extract the object in an image naturally using the matting technique. The proposed algorithms begin by segmenting an image into three regions: definitely foreground, definitely background, and unknown. Then we estimate foreground, background, and alpha for all pixels in the unknown region. The proposed algorithms learn the definitely foreground and definitely background using self-organizing map(SOM), and estimate an alpha value of each pixel in the unknown region using SOM learning result. SOM matting is distinguished between global SOM matting and local SOM matting by learning method. Experiment results show the proposed algorithms can extract the object in an image.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.487-492
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• 2018

Recently, various applications for image processing have been ported to the mobile environment due to the expansion of the image shooting on the mobile device. However, in the case of extracting the image foreground, which is one of the most important functions of image synthesis, is difficult since it needs complex calculation. In this paper, we propose an video synthesis technique that can divide images captured by mobile devices into foreground / background and combine them in real time on target images. Considering the characteristics of mobile shooting, our system can extract automatically foreground of input video that contains weak motion when shooting. Using SIMD and GPGPU-based acceleration algorithms, SD-quality images can be processed on mobile in real time.