• Proceedings of the Zoological Society Korea Conference
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• 1999.10b
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• pp.218.1-218
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• 1999

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
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• 1999.10b
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• pp.54.1-54
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• 1999

No Abstract, See Full Text

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.657-666
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• 2017

This paper explored contrasting responses of the press and the academic circle to The Vegetarian, the 2016 Man Booker International Prize winner, and delved into the controversy over its faithfulness to Han Kang's Ch'aesikjuuija. In the comparison of Han Kang's Ch'aesikjuuija and Deborah Smith's The Vegetarian, many mistranslation cases have been found in The Vegetarian. This paper is meaningful in that it did not stop at discussing translation errors in The Vegetarian but probed the cause of Smith's mistranslation and that it identified The Vegetarian as an English localization text, instead of a translation text. This paper concludes with a discussion of the achievements of The Vegetarian as Smith's rewriting of Ch'aesikjuuija and makes suggestions as to what translators and the academic world can do for the reader and the English translation of Korean literature in the future.

• Journal of The Korean Association of Information Education
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• v.12 no.1
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• pp.49-56
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• 2008

It can be said that the feature of elementary education on Society studies is localization of all curriculum. Among them, the social curriculum of 3rd grade emphasizes on character of local and living experiences. Also the Society studies of 7th curriculum reform focused on new types of localization materials and way of practical using because of development on internet and computer communication, To correspond this need, this paper suggests regional learning system based on the web. which is designed for social studies of 3rd grade student to study Pyeongtaek-City, in Gyeonggi-do. Also, current school field education materials which is elementary 3rd grade localization supporting text can be used as well as it can be provided through the web educational system to support the needed localization materials for the students.

• Journal of Korea Game Society
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• v.18 no.3
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• pp.87-102
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• 2018

In this study of effective game localization, we attempt to gauge the influence of characteristics on the translation of the texts in games. In general, the characters in the games that feature interactive story-telling structure have a huge impact on events that occur in the games. Additionally, in case the origin of the characters are closely connected with either cultural factors or symbolisms, the relation between characters and stories tends to be stronger. In this research, the characteristics of the characters in the game 'Lobotomy Corporation' - featuring characteristics based on 'The Tree of Sepiroth' of Kabbalah - will be analyzed in depth; then, the result will lead us to suggest the method of proper translation in order to show how to localize the games effectively in future.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.5
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• pp.611-618
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• 1999

An efficient and effective access to needed information becomes an important factor in the modern information society. Many people have developed information retrieval (IR) systems that retrieve needed information from a large amount of data at a given time. However, most freely available IR systems have been developed for English text rather than for Korean text. In this research, we have analyzed the IR system freeWAIS-sf, and localized it with the Korean morphological analyzer, namely HAM. The localized freeWAIS-sf can handle both English text and Korean text simultaneously. We have also modified the weighting scheme of freeWAIS-sf. The experimental result shows that the modified weighting scheme outperforms the original one in terms of retrieval effectiveness.

• Journal of Korean Medical classics
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• v.34 no.2
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• pp.63-74
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• 2021

Objectives :This paper analyzes the newly discovered manuscripts of the Sanghanjijangdo(傷寒指掌圖). A bibliographic study was carried out to examine the contents and the background of publication. Methods : First, a bibliographical analysis of the Joseon text was conducted. Next, the contents of the composition were compared with the Yuanand early Ming publications of China. Results : 1. The Joseon publication was published based on the original publication from the Yuan period. The Sanghanjijangdo has been cited in several medical texts from early Joseon such as the Euibangyuchwi and Hyangyakjipseongbang. 3. The background for publication of the Sanghanjijangdo is as following. First, it is an introductory text for beginners of Shanghan[cold damage] studies. Second, its contents do not conflict with the specialized Shanghan text that was used as the textbook for the royal physician examination. Third, it contains many Shanghan formulas that could be composed of domestic drugs only. Conclusions : The Sanghanjijangdo could be described as an introductory text for beginners of Shanghan studies that contributed to the expansion of the base of Shanghan studies in 15c mid-Joseon. Publication of this book clearly shows that Shanghan studies in early Joseon was practiced within the scopes of practicality and localization of medicinals.

• Electronics and Telecommunications Trends
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• v.22 no.2 s.104
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• pp.31-37
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• 2007

인간로봇 상호작용 기술(human-robot interaction)은 다양한 의사소통 채널인 로봇카메라, 마이크로폰, 기타 센서를 통해 인지 및 정서적으로 상호작용할 수 있도록 로봇시스템 및 상호작용 환경을 디자인하고 구현 및 평가하는 지능형 서비스 로봇의 핵심기술이다. 본 고에서는 오디오 기반 인간로봇 상호작용 기술 중에서 음원 추적(sound localization)과 화자인식(speaker recognition) 기술의 국내외 기술동향을 살펴보고 최근 ETRI 지능형로봇연구단에서 상용화를 추진중인 시청각 기반 음원 추적(audio visual sound localization)과 문장독립 화자인식(text-independent speaker recognition)기술들을 다룬다. 또한 이들 기술들을 가정환경에서 효과적으로 사용하기 위해 음성인식, 얼굴검출, 얼굴인식 등을 결합한 시나리오에 대해서 살펴본다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.4
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• pp.806-816
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• 2009

Character recognition system consists of four step; text localization, text segmentation, character segmentation, and recognition. The character segmentation is very important and difficult because of noise, illumination, and so on. For high recognition rates of the system, it is necessary to take good performance of character segmentation algorithm. Many algorithms for character segmentation have been developed up to now, and many people have been recently making researches in segmentation of touching or overlapping character. Most of algorithms cannot apply to the text regions of management number marked on the slab in steel image, because the text regions are irregular such as touching character by strong illumination and by trouble of nozzle in marking machine, and loss of character. It is difficult to gain high success rate in various cases. This paper describes a new algorithm of character segmentation to recognize slab management number marked on the slab in the steel image. It is very important that pre-processing step is to convert gray image to binary image without loss of character and touching character. In this binary image, non-touching characters are simply separated by using vertical projection profile. For separating touching characters, after we use combined profile to find candidate points of boundary, decide real character boundary by using method based on recognition. In recognition step, we remove noise of character images, then recognize respective character images. In this paper, the proposed algorithm is effective for character segmentation and recognition of various text regions on the slab in steel image.

• 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.