• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2007년도 춘계학술대회 논문집
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• pp.95-96
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• 2007

Language is the method for communication. Semantician, G. Leech categorized the function of language as informational, expressive, directive, aesthetic and phatic one. Therefore, language can be defined as the social symbol system and the media for communication. Space, also, performs the role of symbol, information and communication. Space can be the media for the communication and the design can be logical construction process by it's arbitrary interpretation. The researcher considered the common points between verbal language and visual language as the tools for the mutual communication, tried to transit them into the 'space' as object language after analyzing 'image of poetry' as meta language, so that the old perspective of space design as function can be renewed as information system of the significant meaning delivery in the context of language's multiplicity, expandibility and changeability.

• 한국콘텐츠학회논문지
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• 제13권5호
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• pp.117-125
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• 2013

인터랙티브 전자책에 대한 기존의 독자 이해도 평가 방법들은 대개 이해도 점수를 수치화하는 정량적 평가 방식들로, 개발자나 제작자가 그 의미를 구체적으로 해석하여 반영하기 어렵다. 본 논문에서는 인터랙티브 전자책의 상호작용성, 시각적 특성 및 내러티브 특성에 주목하여 독자의 스토리보드 재구성에 기반한 새로운 이해도 측정 방법을 제안하였다. 실제 독자의 읽기를 통한 이해도 질적 평가를 수행하였으며, 문제가 발생하는 구체적 내러티브 단계 및 상호작용 구성 적절성을 판별할 수 있는 정성적 평가 방법임을 확인하였다.

• 한국멀티미디어학회논문지
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• 제19권6호
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• pp.1095-1105
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• 2016

This study is semiotic analysis about 'dumb ways to die' that is produced by Melbourne Railway of Australia in 2012. By analyzing the symbolic representations through 'Actants model' of A.J. Greimas, extract the relationship between signification of the represented object in 'dumb ways to die'. Greimas' model helps to analyze the semiotic interpretation action that occurs above a layer of discourse. In addition, this study is to compare the property to distinguish the Semiotic 'Actants' to cause the behavior of the recipient by represented in the same ideological situation. This can determine the properties of the signification and gauge the level of symbolic images that are reproduced in the discourse process. Accordingly, guidance to become a developer by extracting the reproduction principle of the video that causes a user's action.

• Advances in robotics research
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• 제1권2호
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• pp.127-140
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• 2014

This work presents an IR-based system for parking assistance and obstacle detection in the automotive field that employs the Microsoft Kinect camera for fast 3D point cloud reconstruction. In contrast to previous research that attempts to explicitly identify obstacles, the proposed system aims to detect "reachable regions" of the environment, i.e., those regions where the vehicle can drive to from its current position. A user-friendly 2D traversability grid of cells is generated and used as a visual aid for parking assistance. Given a raw 3D point cloud, first each point is mapped into individual cells, then, the elevation information is used within a graph-based algorithm to label a given cell as traversable or non-traversable. Following this rationale, positive and negative obstacles, as well as unknown regions can be implicitly detected. Additionally, no flat-world assumption is required. Experimental results, obtained from the system in typical parking scenarios, are presented showing its effectiveness for scene interpretation and detection of several types of obstacle.

• 응용통계연구
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• 제24권5호
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• pp.759-768
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• 2011

Tree algorithms have been widely developed for regression problems. One of the good features of a regression tree is the flexibility of fitting because it can correctly capture the nonlinearity of data well. Especially, data with sudden structural breaks such as the price of oil and exchange rates could be fitted well with a simple mixture of a few piecewise linear regression models. Now that split points are determined by chi-squared statistics related with residuals from fitting piecewise linear models and the split variable is chosen by an objective criterion, we can get a quite reasonable fitting result which goes in line with the visual interpretation of data. The piecewise linear regression by a regression tree can be used as a good fitting method, and can be applied to a dataset with much fluctuation.

• 복식문화연구
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• 제8권4호
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• pp.562-576
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• 2000

The purpose of this study is to semiotically reinterpret the Korean beauty and symbol inhering in the modern clothing of Korean designers as the context of traditional culture through regarding the clothing including hegemony that is controlling the Korean society and culture as a sign. The theoretical framework for analysis was derived from the semiotically analytic methods of F. Saussure and R. Barthes. The results of the study are as follows ; Korean images reflected in the modern clothing designed by Korean designers are humanistic image, environmental-friendly image, totemic and mythlogical image, equal and peaceful image, and metaphorical and metonymical image. Conclusively, developing a creative design based upon the interpretation of our unique and traditional culture, the clothing could be newly made of historical and cultural resources in the modern lives. If so, I think that the clothing will be not only the visual and decorative art, but also an information which contains implication of our culture, and finally can be established.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.464-469
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• 2003

The traditional and still most widely used, test methods for concrete structures are destructive method, such as coring, drilling or otherwise removing part of the structure to permit visual inspection of the interior. While these methods are highly reliable, they are also time consuming and expensive, and the defects they leave behind often become focal point for deterioration. In this study, tomography by theoretical inversion method in case of elastic wave using impact-echo method among concrete non-destruction test method was made. Taken model experiments are theoretical inversion method and time domain and frequency domain test on pier test model at laboratory level. Also experiment concerning frequency domain on 3 kinds of tunnel model with I-dimension form was carried out.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.18-21
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• 2008

Lee (2008) proposed the pansharpening method to reconstruct at the higher resolution the multispectral images which agree with the spectral values observed from the sensor of the lower resolution values. It outperformed over several current techniques for the statistical analysis with quantitative measures, and generated the imagery of good quality for visual interpretation. However, if a small object stretches over two adjacent pixels with different spectral characteristics at the lower resolution, the pixels of the object at the higher resolution may have different multispectral values according to their location even though they have a same intensity in the panchromatic image of higher resolution. To correct this problem, this study employed an iterative technique similar to the image restoration scheme of Point-Jacobian iterative MAP estimation. The effect of pansharpening on image segmentation/classification was assessed for various techniques. The method was applied to the IKONOS image acquired over the area around Anyang City of Korea.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 춘계종합학술대회
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• pp.656-659
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• 2001

Human have a notable ability to recognize faces, which is one of the most common visual feature in our environment. In regarding face pattern, just like other natural object, a geometrical interpretation of face is difficult to achieve. In this paper, we present wavelet based approach to extract the face features. Proposed approach is similar to the feature based scheme, where the feature is derived from the intensity data without detecting any knowledge of the significant feature. Topological graphs are involved to represent some relations between facial features. In our experiments, proposed approach is less sensitive to the intensity variation.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.159-162
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• 1998

Land cover and land use classification on a huge scale, e.g. national or continental scale, has become more and more important because environmental researches need land cover: And land use data on such scales. We developed a crop field extraction method, which is one of the steps in our land cover classification system for a huge area. Firstly, a crop field model is defined to characterize "crop field" in terms of NDVI value and textual information Textual information is represented by the density of straight lines which are extracted by wavelet transform. Secondly, candidates of NDVI threshold value are determined by "scale-space filtering" method. The most appropriate threshold value among the candidates is determined by evaluating the line density of the area extracted by the threshold value. Finally, the crop field is extracted by applying level slicing to Landsat TM image with the threshold value determined above. The experiment demonstrates that the extracted area by this method coincides very well with the one extracted by visual interpretation.