• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.31-39
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• 2003

It is often assumed that text regions in images are characterized by some distinctive or characteristic spatial frequencies. This feature is highly intuitive, and thus appealing as much. We propose a method of detecting horizontal texts in natural scene images. It is based on the use of two features that can be employed separately or in succession: the frequency of edge pixels across vertical and horizontal scan lines, and the fundamental frequency in the Fourier domain. We confirmed that the frequency features are language independent. Also addressed is the detection of quadrilaterals or approximate rectangles using Hough transform. Since texts that is meaningful to many viewers usually appear within rectangles with colors in high contrast to the background. Hence it is natural to assume the detection rectangles may be helpful for locating desired texts correctly in natural outdoor scene images.

• IE interfaces
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• v.25 no.3
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• pp.290-299
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• 2012

Keystroke dynamics refers to a way of typing a string of characters. Since one has his/her own typing behavior, one's keystroke dynamics can be used as a distinctive biometric feature for user authentication. In this paper, two authentication algorithms based on keystroke dynamics of long and free texts are proposed. The first is the K-S score, which is based on the Kolmogorov-Smirnov test, and the second is the 'R-A' measure, which combines 'R' and 'A' measures proposed by Gunetti and Picardi (2005). In order to verify the authentication performance of the proposed algorithms, we collected more than 3,000 key latencies from 34 subjects in Korean and 35 subjects in English. Compared with three benchmark algorithms, we found that the K-S score was outstanding when the reference and test key latencies were not sufficient, while the 'R-A' measure was the best when enough reference and test key latencies were provided.

• Journal of Korean Medical classics
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• v.33 no.1
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• pp.51-60
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• 2020

Objectives : To compare the herbal ingredients of the prescriptions in 「Newly Selected Twenty-four Key Formulas applied to Tae-eumin(新定太陰人病應用要藥二十四方)」 chapter of the Shinchuk edition of the 『Donuisusebowon』 and those from the texts of the Four Great Doctors of the Jin Yuan period. Methods : The herbal ingredients of the 『Donuisusebowon』 and those from 『Huangdisuwen Xuanminglunfang(黃帝素問宣明論方)』, 『Lanshimicang(蘭室秘藏)』, 『Suwenbingji Qiyibaomingji(素問病機氣宜保命集)』, 『Shanghan Biaoben Xinfaleicui(傷寒標本心法類萃)』, 『Piweilun(脾胃論)』, 『Neiwai Shangbianhuolun(內外傷辨惑論)』, 『Shanghanzhige(傷寒直格)』, 『Shanghanxinyao(傷寒心要)』, 『Sanxiaolun(三消論)』 were entered into the database. Next, formulas which included the herbal combination pattern of Tae-eumin formula were determined. Results : Among the 27 Tae-eumin formulas including edited versions, those that showed similar pattern among those in the JinYuan texts were the following 12: Gegenjiejitang(葛根解肌湯), Reduohanshaotang(熱多寒少湯), Gegenchengqitang(葛根承氣湯), Gegentaichengqitang(葛根大承氣湯), Gegenshaochengqitang(葛根小承氣湯), Mahuangpobiaotang(麻黃發表湯), Bufeiyuantang(補肺元湯), Zaojiaodahuangtang(皂角大黃湯), Guadisan(瓜蒂散), Shexiangsan(麝香散), Shichangpuyuanzhisan(石菖蒲遠志散), Maimundongyuanzhisan(麥門冬遠志散). Conclusions : Based on the finding that 44.4% of the Shinchuk edition's Tae-eumin formula patterns could be found in the texts of the Four Masters, Dongmu's assertion that about half of the Tae-eumin formulas has been clarified by the doctors of the Song, Yuan, Ming eras could be understood as true.

• Journal of Korean Medical classics
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• v.27 no.1
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• pp.1-13
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• 2014

Objective : "Dochangbup" is one of the therapies that remove pathogenic qi[邪氣] from the Emetic Method in the Miscellaneous Disorders part of Dongeuibogam東醫寶鑑. It is, in particular, the method of treatment that removes phlegm[痰], the cause of various disorders. Method : Application of "Dochangbup" had a long history in Korea as well. The meaning and application of "Dochangbup" are mentioned in various texts from early Chosun dynasty to the post liberation. Result : In China, there are a lot of medical texts by physicians throughout Ming and Qing Dynasty, with GeZhiYuLun格致餘論 at the top of the list, dealing with the meaning and applicable scope of "Dochang" method and pharmacy of "Hacheongo霞天膏". Most of the physicians are affiliated with Dan Xi School, regarding ZhudanXi朱丹溪 as a suzerain. In "Dongeuibogam", it is mentioned that "Dochangbup" can treat various disorders caused by phlegm. Though, when there is a possibility of harming original qi[元氣] during the treatment or grave deficiency in patients, it is requested to consider tonifying while purging. Conclusion : "Dochangbup" can be applied not only to the disorders mentioned in classical medical texts, like heart pain[心痛], leg disease[脚氣], urine turbidity[小便濁], involuntary discharge of semen[遺精], cough[咳嗽], blood spitting[喀血], but also to metabolic syndrome such as obesity, hypertention and diabetes, commonly found in the modern era.

• Journal of Korea Game Society
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• v.13 no.3
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• pp.19-30
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• 2013

Digital games have become a major part of the modern popular culture, but little attention has been paid to understanding the textuality of games and what the game texts have the cultural meanings. As the games develop, however, the academic and journalistic game critiques and reviews that try to understand and to deconstruct the game texts are on the rise. This study explores how the game criticism characterizes the game texts, creates and shapes the understanding of games. The finding shows that game criticism is rich and varied in terms of themes and approaches covered, more generally, games criticism can also help preserve game history by focusing on the distinctive game textuality, forms and meanings, and by contextualizing the links and cultural meanings that exist between games and between games and the cultural context.

• Korean Journal of Child Studies
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• v.34 no.4
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• pp.163-177
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• 2013

Digital technology has advanced rapidly and it is anticipated that multimodal ways of meaning-making will become increasingly important. Consequently, teaching multimodal literacies is becoming a major issue in education. This study focuses on the use of picture diaries as a means of teaching multimodal literacies. Picture diaries are one of the basic and unique multimodal texts used in lower elementary level classes in Korea. A further advantage is that it is a promising text model which can be taught in unplugged ways. In order to explore the educational implications of using such picture diaries, this study sought to analyze the ways in which twenty four $1_{st}$ graders in an elementary school constructed meaning with written language and pictures in composing picture diaries. 251 picture diaries composed during several months of their $1_{st}$ grade period were analyzed based on the constant comparative method. The results indicated that the students utilized both written language and pictures in diverse and creative ways to provide their audience with more comprehensive meaning. These results indicate that teachers need to consider their students as active multimodal meaning-makers and provide their students with more opportunities to practice multimodal meaning-making and share their experiences.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.7 no.1
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• pp.103-146
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• 1994

Koryokukshinjodaechangkyochongbyollock is an epoch-making catalogue for historical study of proofing Buddhist scriptures in Korea. This bibliography was appended to the 30 volumes which was corrected in 70 Ham, 66 scriptures, and 79 cases. Comparing the differences between the first carved Tripitaka' s texts in Korea, texts made in the Sung dynasty, and the Kitan's texts, this catalogue discovered the name of scriptures, translators, volume number, the changed am order as well as omission, defaults, mistranslation of the Tripitaka made in the Sung dynasty. From Chon-ham to Young-ham, 480 sets among Kaewon-sokkyorock and 43 sets among Chongwonrock were correctly laid. Songshinyokkyong and the Sung Emperor, T'ai Tsung's statements were excluded. Even though it was possible to get these scriptures only by import from Sung, these imported scriptures had no reason to be proofed because of their new version and the author's direct selection in Sung. Shinchipchangkyon-geumeuisuhamlock has no authentic Sung's and Koryo's text books for correction. kyochongbyollock delivered the scriptures listed on Kudaechangmoklock, which gives an important clue to research transformation from the first to the second carved Tripitaka. Through the systematic study of the transformated facts beteween the first carved Tripitaka and the second one, This study would help rebulid the original Chojodaechan-gkynng which has been not yet perfectly discovered itself.

• English Language & Literature Teaching
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• v.10 no.3
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• pp.1-20
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• 2004

The findings in contrastive rhetoric research of the twentieth century have shown that different cultures have different conventions in organizing written texts. These culture-related conventions were claimed to influence English texts written by L2 learners, including Asian learners of English. However, due to the massive inflow of the American culture into Asia as well as increased exposure to English in the midst of globalization of the last decade, it is quite probable that the textual gap between the native English writers and Asian EFL writers have been reduced. The present study investigates the changes that have taken place in EFL writer's knowledge of genre-specific writing over the past decade. To this aim, this study compared four sets of application essays written by four groups of applicants (1) native American applicants in 1993, (2) Korean EFL applicants in 1933, (3) native American applicants in 2003, and (4) Korean EFL applicants in 2003. The results suggested that the disparity between the Korean EFL writers' and the native English writers' texts were becoming less noticeable at the macro-level, possibly due to Korean EFL writers' enhanced textual awareness of English genre structures Pedagogical implications are discussed.

• Communications for Statistical Applications and Methods
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• v.27 no.3
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• pp.313-326
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• 2020

Deep Learning is the most important key to the development of Artificial Intelligence (AI). There are several distinguishable architectures of neural networks such as MLP, CNN, and RNN. Among them, we try to understand one of the main architectures called Recurrent Neural Network (RNN) that differs from other networks in handling sequential data, including time series and texts. As one of the main tasks recently in Natural Language Processing (NLP), we consider Neural Machine Translation (NMT) using RNNs. We also summarize fundamental structures of the recurrent networks, and some topics of representing natural words to reasonable numeric vectors. We organize topics to understand estimation procedures from representing input source sequences to predict target translated sequences. In addition, we apply multiple translation models with Gated Recurrent Unites (GRUs) in Keras on English-Korean sentences that contain about 26,000 pairwise sequences in total from two different corpora, colloquialism and news. We verified some crucial factors that influence the quality of training. We found that loss decreases with more recurrent dimensions and using bidirectional RNN in the encoder when dealing with short sequences. We also computed BLEU scores which are the main measures of the translation performance, and compared them with the score from Google Translate using the same test sentences. We sum up some difficulties when training a proper translation model as well as dealing with Korean language. The use of Keras in Python for overall tasks from processing raw texts to evaluating the translation model also allows us to include some useful functions and vocabulary libraries as well.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.205-214
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• 2006

Texts in images have significant and detailed information about the scenes, and if we can automatically detect and recognize those texts in real-time, it can be used in various applications. In this paper, we propose a new text detection method that can find texts from the various camera-captured images and propose a text segmentation method from the detected text regions. The detection method proposes color variance as a detection feature in RGB color space, and the segmentation method suggests an improved K-means color clustering in RGB color space. We have tested the proposed methods using various kinds of document style and natural scene images captured by digital cameras and mobile-phone camera, and we also tested the method with a portion of ICDAR[1] contest images.