• Journal of the Korean association of regional geographers
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• v.20 no.1
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• pp.92-100
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• 2014

This paper aimed to estimate Heonhwa-ga(獻花歌) background place, Hae-ga(海歌) background place based on the Heonhwa-ga background narrative, The main results are as follows. 1) Heonhwa-ga background place is judged as the area of the rock cliff and its suburbs in Golgok-po(Jigyeong-cheon Bugyeong-ri Namjeong-myeon, Yeongdeog county). 2) Hae-ga background place is judged as the area of the Weolsong-jeong in Uljin county, which is located in two day's distance(about 60km) from Heonhwa-ga background place. 3) Some local governments tend to estimate Heonhwa-ga background place, Hae-ga background place from the viewpoint of place marketing. So such judgement of those local governments is not persuasive.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.169-172
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• 2015

본 논문에서는 준 지도 학습에 기반한 중요 객체 검출 방법을 제안한다. 첫째, 색상과 공간 정보를 활용하여 이미지를 분할한 후, 분할된 영역을 색상의 유사도로 연결하여 그래프를 만든다. 둘째, 색 대비 및 가장자리 사전 지식을 활용하여 중요 객체에 해당하는 씨앗 노드와 배경에 해당하는 씨앗 노드를 추출한다. 끝으로, 중요 객체 및 배경 씨앗 노드를 이용하여 준 지도학습 기법에 적용함으로써 이미지 전체 노드의 중요도를 계산한다. 실험 결과, 제안한 알고리즘이 최신의 다른 알고리즘보다 높은 재현율 구간에서 높은 정밀도를 보임을 확인할 수 있고, 시각적으로도 좋은 성능을 보임을 확인할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.131-136
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• 2007

This paper proposes a new approach to eliminate the reflectance component for the detection of text in color images. Color images, printed by color printing technology, normally have an illumination component as well as a reflectance component. It is well known that a reflectance component usually obstructs the task of detecting and recognizing objects like texts in the scene, since it blurs out an overall image. We have developed an approach that efficiently removes reflectance components while preserving illumination components. We decided whether an input image hits Normal or Polarized for determining the light environment, using the histogram which consisted of a red component. We were able to go ahead through the ability to extract by reducing the blur phenomenon of text by light because reflection component by an illumination change and removed it and extracted text. The experimental results have shown a superior performance even when an image has a complex background. Text detection and recognition performance is influenced by changing the illumination condition. Our method is robust to the images with different illumination conditions.

• Journal of Korea Multimedia Society
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• v.16 no.11
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• pp.1288-1296
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• 2013

The prominent line at the singe image is the important fact for understanding spatial structure or estimating aesthetic scoring. According to this thesis, the abstraction of the background line helps analyzing vanishing point, reconstitution of 3 dimensions, and determining of image sloppiness. It also makes easy to calculate the rule of thirds. This thesis is composed of section hough transform mapping, prioritizing of the prominent line, and selection of the prominent line. These technologies are departmentalized to be applied abstraction of traffic lane, analyzing of building structure, abstraction of vanishing point, and abstraction of straight line documentation. This gives the choice that users are able to compose technology by considering characteristic of objects and luminous environment. This thesis also can be applied to abstract circle. The interval hough transform is able to select the number of prominent line which users want to abstract. It can analyze important prominent line numbers at the image and then abstract the lines, too. Results of prominent lines by experiments would be show at this thesis.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.135-137
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• 2015

본 논문에서는 북극해항로(NSR)의 운항여건, 현황 및 기간별 운항내용에 대한 평가가 다뤄진다. 한국 관련 NSR 운항내용이 상세히 설명되며, 특히 2014년-15년, 서방의 대러시아제재여파 및 국제유가하락 등에 따른 NSR 국제통과수송 급락 배경 분석이 이뤄진다. 또한 현재 주요 국가들의 NSR에 대한 관점이 소개되며, 향후 NSR의 지속 활용을 위한 선사, 정부, 지자체 등 주요 주체들의 당면과제와 방안이 제시된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.71-76
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• 2017

Visual perception is part of a field of study that examines the analysis and recognition of objects. There have been numerous studies on this topic, including research on the physiological and cognitive aspects of the visual system. Visual perception theory was established through such research efforts and the potential for its application in each field is being investigated. Mobile displays are a representative example of media in the new age. Therefore, this study is based on the understanding that research on visual perception must stress the importance of useful visual cognition. This study used displays to conduct legibility tests based on illumination intensity and contrast ratio. Two conditions relevant to legibility were tested 1) illumination intensity environment and 2) two luminance conditions proposed as measures to improve readability in existing mobile displays. The results of this study were analysed to determine the degree of legibility based on illumination intensity and contrast ratio, and measures for improving legibility were proposed.

• Journal of Korea Multimedia Society
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• v.14 no.5
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• pp.607-613
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• 2011

In this paper, we propose a hand image segmentation method using the dynamic threshold values on input images with various lighting and background attributes. First, a moving hand silhouette is extracted using the camera input difference images, Next, based on the R,G,B histogram analysis of the extracted hand silhouette area, the threshold interval for each R, G, and B is calculated on run-time. Finally, the hand area is segmented using the thresholding and then a morphology operation, a connected component analysis and a flood-fill operation are performed for the noise removal. Experimental results on various input images showed that our hand segmentation method provides high level of accuracy and relatively fast stable results without the need of the fixed threshold values. Proposed methods can be used in the user interface of mixed reality applications.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.1
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• pp.87-93
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• 2002

The previous RST postulates that the scattering field, within each modal partial wave, comprise of the resonance and the background components. The new RST is recently developed by the product expansion of the scattering functions in the field of acoustics. The new formulation suggests that the scattering coefficients consist of resonance, non-resonance, and their interactional portions. In the scattering problems of acoustic waves, the moduli and phase of the resonance coefficient are obtained correctly by the new RST. In our recent works the new RST was successfully applied to the scattering problem of electromagnetic waves for coated conducting cylinder and sphere. In this paper, the new RST is extended to the 2-dimensional scattering problem of electromagnetic waves for a homogeneous dielectric cylinder, and the numerical results are compared with the previous RST.

• Proceedings of the Speleological Society Conference
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• 1995.08a
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• pp.83-83
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• 1995

1. 동해시는 동해 바다에 면하고 있는 항구도시. 2. 한반도의 중부 동해안에 위치하고 있는 해항도시. 3. 동해 바다를 통하여 세계 각지로 자유왕래 할 수 있는 편리한 위치에 있는 항구도시. 4. 남북 경제 문화 교류때에는 육해산물, 산업물자의 수송에 편한 해항도시. 5. 일본지역에서 중국, 러시아 지역에의 해로는 한반도의 동해시 항구를 경유하여야하는 교통 입지에 있는 해항. \circled1 일본에서 중국, 러시아에의 직항해로는 가능하나 여객 운송의 경우 30시간 이상의 장시간 소요가 불가피하므로 동해시 해항이 중간 거점이 될 수 있다. \circled2 일본의 서남 지방에 있는 후꾸오카의 하까다항 그리고 중부지방 북안에 있는 쯔루가항으로 부터 중국 대륙과 러시아 연해주에의 해로인 경우는 반드시 동해시항에 기항하여야 한다. 6. 남한의 내륙 지방에서 동북아시아 권역에 직접 연결이 가능한 위치에 있는 해항. 7. 인접지에 다양한 발전적 배경을 지니고 있는 해항 도시.

• Journal of Korea Multimedia Society
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• v.8 no.10
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• pp.1369-1382
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• 2005

Vehicle segmentation, which extracts vehicle areas from road scenes, is one of the fundamental opera tions in lots of application areas including Intelligent Transportation Systems, and so on. We present a vehicle segmentation approach for still images captured from outdoor CCD cameras mounted on the supporting poles. We first divided the input image into a set of two-dimensional grids and then calculate the feature values of the edges for each grid. Through analyzing the feature values statistically, we can find the optimal rectangular grid area of the vehicle. Our preprocessing process calculates the statistics values for the feature values from background images captured under various circumstances. For a car image, we compare its feature values to the statistics values of the background images to finally decide whether the grid belongs to the vehicle area or not. We use dynamic programming technique to find the optimal rectangular gird area from these candidate grids. Based on the statistics analysis and global search techniques, our method is more systematic compared to the previous methods which usually rely on a kind of heuristics. Additionally, the statistics analysis achieves high reliability against noises and errors due to brightness changes, camera tremors, etc. Our prototype implementation performs the vehicle segmentation in average 0.150 second for each of $1280\times960$ car images. It shows $97.03\%$ of strictly successful cases from 270 images with various kinds of noises.