• Journal of The Korean Association For Science Education
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• v.27 no.5
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• pp.367-378
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• 2007

The purpose of this study is to investigate the features of science language in Earth science textbooks and Earth science research articles. We examined two Earth science textbooks and two Earth science articles using the taxonomy of scientific words, the text structure analysis of explanations, the analysis of conjunctive relations and reasoning, and the function of conjunction. The results showed that school science language revealed in Earth science textbooks had high proportion of naming words and the text structures in which definition/exemplification structure and description structure were dominant. Also, internal relations that showed additional arrangement rather than logical inference, were predominant in Earth science textbooks. However, scientists' science language revealed in the Earth science articles had more proportion of process words and concept words than the Earth science textbooks and the schematic structure of explanation texts, such as orientation - implication sequence - conclusion. In addition, the text structures in each sentences of implication -sequence showed cause/effect or problem-solving after description structures. Also each sentences expressed causal or abductive reasoning through the internal relations using verbs or adverbial inflection. It is necessary that we bridge the gap between the two languages for students' authentic use of science language. For the bridging, we propose "interlanguage", which mediates between school science language and scientists' language.

• Journal of Korean Medical classics
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• v.30 no.1
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• pp.185-209
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• 2017

Objectives : The objective of this paper is to review the healing processes employed in the traditional age and discover the unique features found in the Korean Medicine through categorizing and analyzing the distribution of patients, and the aspects and results of treatments as recorded in Gyeongbosinpyeon, a historical text thought to have been authored by a regional doctor active in Joseon during the mid- to late-19th century. Methods : A table is created to view all of the total of 141 medical records introduced in the Gyeongbosinpyeon, and 7 categories were created to each contain 2 to 3 medical records that have special images. The paper provides their translation texts along with the original texts, and analyzed their medical and social significances by comparing each medical record. Results : The clinical competence displayed by the doctor who had worked in Joseon during the 19th century was surprisingly high, and it seems its values are worthy of dissemination when compared with Yeogsimanpil that has been introduced to the world. There is a great significance in how the principle of holistic treatments, the fundamental aspect of Joseon's medical study, was adhered. Additionally, the parts that show the historical text's author's medical activities and their unique characteristics are also worthy of attention. Conclusions : Korean medicine possesses a remarkable text called Donguibogam, but clinical behaviors' successes are not guaranteed solely with textual knowledge. It can be witnessed that such texts of authority and such medical records that have recorded actual activities complement each other in order to improve the quality of Joseon's study of medicine.

• Knowledge Management Research
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• v.21 no.1
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• pp.197-210
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• 2020

The smart speaker includes an AI assistant function in the existing portable speaker, which enables a person to give various commands using a voice and provides various offline services associated with control of a connected device. The speed of domestic distribution is also increasing, and the functions and linked services available through smart speakers are expanding to shopping and food orders. Through text mining-based customer review analysis, there have been many proposals for identifying the impact on customer attitudes, sentiment analysis, and product evaluation of product functions and attributes. Emotional investigation has been performed by extracting words corresponding to characteristics or features from product reviews and analyzing the impact on assessment. After obtaining the topic from the review, the effect on the evaluation was analyzed. And the market competition of similar products was visualized. Also, a study was conducted to analyze the reviews of smart speaker users through text mining and to identify the main attributes, emotional sensitivity analysis, and the effects of artificial intelligence attributes on product satisfaction. The purpose of this study is to collect blog posts about the user's experiences of smart speakers released in Korea and to analyze the attitudes of customers according to their attributes. Through this, customers' attitudes can be identified and visualized by each smart speaker product, and the positioning map of the product was derived based on customer recognition of smart speaker products by collecting the information identified by each property.

• Journal of Physiology & Pathology in Korean Medicine
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• v.34 no.1
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• pp.45-52
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• 2020

This paper suggested MyeonGu(面垢), symptom of Baekho-tang(白虎湯) in text 219 of Shang-Han-Lun(傷寒論), could be reinterpreted. There were 4 cases, 1 case on atopic dermatitis and 3 cases on psoriasis. All of them were diagnosed by Ying-Ming-Bing(陽明病) symptom. After taking Baekho-tang, SCORAD index of atopic dermatitis in case 1 improved 62.8 to 12.8 and PASI score of psoriasis in case 2, 3, and 4 improved 13.0 to 2.4, 10.8 to 0.8, and 8.6 to 1.0 respectively. Since Baekho-tang was effective for certain skin disease with Ying-Ming-Bing(陽明病) symptom, MyeonGu could be related on skin problem. MyeonGu was mainly translated in 'someone's face seems to be covered with dirt'. However if Myeon(面) is translated in 'surface of the body' and Gu(垢) is translated in 'inflammation', it means the surface of the body suffered from papules, erythema, white scales, etc. These are features of chronic inflammatory cutaneous disease like atopic dermatitis and psoriasis. This study is meaningful in case of giving specific clinical case of MyeonGu of Baekhotang text of Shanghanlun.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.6A
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• pp.575-583
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• 2002

JBIG2 is an International Standard fur compression of Bi-level images and documents. JBIG2 supports three encoding modes for high compression according to region features of documents. One of which is generic region coding for bitmap coding. The basic bitmap coder is either MMR or arithmetic coding. Pattern matching coding method is used for text region, and halftone pattern coding is used for halftone region. In this paper, a document is segmented into line-art, halftone and text region for JBIG2 encoding and JBIG2 CODEC is implemented. For efficient region segmentation of documents, region segmentation method using wavelet coefficient is applied with existing boundary extraction technique. In case of facsimile test image(IEEE-167a), there is improvement in compression ratio of about 2% and enhancement of subjective quality. Also, we propose arbitrary shape halftone region coding, which improves subjective quality in talc neighboring text of halftone region.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.10-19
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• 2003

Caption information in news videos can be useful for video indexing and retrieval since it usually suggests or implies the contents of the video very well. In this paper, a new algorithm for extracting and recognizing characters from news video is proposed, without a priori knowledge such as font type, color, size of character. In the process of text region extraction, in order to improve the recognition rate for videos with complex background at low resolution, continuous frames with identical text regions are automatically detected to compose an average frame. The image of the averaged frame is projected to horizontal and vertical direction, and we apply region filling to remove backgrounds to produce the character. Then, K-means color clustering is applied to remove remaining backgrounds to produce the final text image. In the process of character recognition, simple features such as white run and zero-one transition from the center, are extracted from unknown characters. These feature are compared with the pre-composed character feature set to recognize the characters. Experimental results tested on various news videos show that the proposed method is superior in terms of caption extraction ability and character recognition rate.

• English Language & Literature Teaching
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• no.3
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• pp.95-122
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• 1997

The purpose of this research was to investigate the effects of content and formal schema on reading comprehension. Five hundred fiftynine subjects from high school were assigned to one of the following levels and treatment conditions : (1) Higher level & Schema Activation, (2) Higher level & Non-schema Activation, (3) Lower level & Schema Activation, and (4) Lower level & Non-schema Activation. To evaluate the effects of schema activation. two experiments were conducted : one was related to the content schema and the other to the formal schema. To evaluate the effects of content schema, three different types of tests were conducted : (1) cloze test, (2) guessing the meanings of nonsense words, and (3) immediate recall test. To evaluate the effects of formal schema instruction, four kinds of tests were conducted : (1) sorting the sentences according to the importance, (2) identifying the signal words, (3) immediate recall test, and (4) identifying the specific information. For content schema condition, results indicated that the subjects given the titles or pictures before reading in "Content Schema Activation" treatment had better grades than those of the other treatment in all types of tests. regardless of their levels. Schema activation helped the subjects to increase the cognitive predictability of missing words and to participate in the tasks more actively with risk-taking. And it was also shown that good readers tend to process the words meaningfully, while poor readers tend to process the words phonetically or morphologically. Formal schema activation through teaching the text organization also had a significant influence on three types of tests: sorting the sentences according to the importance, identifying the signal words, and immediate recall test, but not on identifying the specific information. The implications from this study can be briefly noted as follows : (l) In teaching reading, the student's background knowledge should be activated as a pre-reading activity. (2) In reading, it is more important to emphasize the student's schema than the features of the text. (3) Various educational interventions should be introduced, especially for the lower level students. (4) Teaching text structures can be a powerful method for the top-down processing strategy.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.164-174
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• 2013

Since the advent of smart phone, a variety of text-based media are developed and used as popular communication tools even in mobile phone environment. This study explores differences in terms of users' perceived social presence level across different text-based media, specifically KakaoTalk, Facebook, SMS. A survey was conducted using items adopted from previous studies on social presence. 203 data points were collected and used for analysis. Across the whole sample, KakaoTalk is perceived as the highest in terms of perceived social presence level, followed by Facebook and SMS. Also, the users with higher level of sociality tends to reveal higher level of perceived social presence across all the media while younger and/or student users tend to maintain higher level of social presence perception across all the media. Further studies seem necessary investigating features of specific medium that may increase or decrease the perceived level of social presence.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.1
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• pp.313-332
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• 2009

Cross-language text categorization(CLTC) can classify documents automatically using training set from other language. In this study, collections appropriated for CLTC were extracted from KTSET. Classification performance of various CLTC methods were compared by SVM classifier using machine translation. Results showed that the classification performance in the order of poly-lingual training method, training-set translation and test-set translation. However, training-set translation could be regarded as the most useful method among CLTC, because it was efficient for machine translation and easily adapted to general environment. On the other hand, low performance was shown to be due to the feature reduction or features with no subject characteristics, which occurred in the process of machine translation of CLTC.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.432-439
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• 2020

This study aims at exploring features of Korean university students' written text, focusing on the written voice, rhetorical patterns, and writing practices through English letters. The data comprised examples of students' English job applications, and a 'purpose-will' model was adopted for the data analysis. The findings showed that the students used unique ways of strategies to convey their voice in a recontextualized setting. Their written voice in the job applications were various, and nobody applied the Korean convention of weather opening. Their rhetorical patterns were a transformation from convergence to divergence, showing integrated patterns of written voice. Students' writing practices revealed their internal values of writing for a task, and they do not directly learn from the teacher's syllabus. This supports the sociocultural framework that learning is a situated activity in a specific discourse community. The study concludes that writing teachers should understand that life-world and learning experience can impact on students' written voice and practices.