• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.538-540
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• 2003

본 논문은 한.중 교차언어 검색을 위한 효과적인 질의 확장에 대해 기술하고 있다. 한.중 교차언어 검색은 한국어 질의로 중국어 문서를 검색하는 것이고 본 논문에서는 대역어 사전을 이용하여 한국어 질의를 중국어 질의로 변환하는 방식을 사용한다. 질의 확장을 위한 방법으로 중국어 시소러스인“동의사사림”을 사용하였다. 그리고 동의어들과 주변 단어간의 상호 정보를 비교함으로서 재현률과 정확률을 높였다. 실험을 통하여 검증한 결과 사전만 사용하여 변환하는 방법에 비하여 검색 성능이 향상되었다.

• Proceedings of the Korean Society of Sericultural Science Conference
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• 2002.10a
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• pp.60-60
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• 2002

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• 대한상한금궤의학회지
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• v.10 no.1
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• pp.81-94
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• 2018

Objective : The objective of this study is to define the clinical meaning of Shanghanlun sentence by applying Shanghanlun disease pattern identification diagnostic system. Methods : 2 clinical cases, which were treated by Oreong-san according to Shanghanlun provisions dualized with Je-Gang(提綱) and Jo-Moon(條文), were analyzed. Results : According to the results of analysis of 2 cases, the patients' diseases were improved. The pain was decreased, and general weakness and anorexia were improved in 2 cases. Conclusions : These results suggests that the medicines from Shanghanlun are clinically effective when Shanghanlun is interpreted considering the origins of Chinese characters in the text, and Shanghanlun disease pattern identification diagnostic system is applied.

• 대한상한금궤의학회지
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• v.12 no.1
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• pp.113-125
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• 2020

Objective: This study aimed to report the improvement of patients with hyperhidrosis treated using Gyejigajagyak-tang based on the Shanghanlun provisions. Methods: Two patients were diagnosed with Greater-yin disease based on the 279^th provision of Shanghanlun, and Gyejigajagyak-tang was used to treat hyperhidrosis. The result was evaluated using the Hyperhidrosis Disease Severity Scale and Visual Analogue Scale. Results: An analysis of results of the two cases showed that the patients' conditions had improved. The amount of sweat produced was decreased in both cases. Conclusions: These results suggest that the medicines defined in Shanghanlun are clinically effective when Shanghanlun is properly interpreted, considering the origins of the Chinese characters in the text, and the Shanghanlun disease pattern identification diagnostic system is applied.

• Journal of Information Technology Services
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• v.21 no.2
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• pp.85-95
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• 2022

This study analyzed the translation error factors of machine translation services such as Naver Papago and Google Translate through Self-Attention path visualization. Self-Attention is a key method of the Transformer and BERT NLP models and recently widely used in machine translation. We propose a method to explain translation error factors of machine translation algorithms by comparison the Self-Attention paths between ST(source text) and ST'(transformed ST) of which meaning is not changed, but the translation output is more accurate. Through this method, it is possible to gain explainability to analyze a machine translation algorithm's inside process, which is invisible like a black box. In our experiment, it was possible to explore the factors that caused translation errors by analyzing the difference in key word's attention path. The study used the XLM-RoBERTa multilingual NLP model provided by exBERT for Self-Attention visualization, and it was applied to two examples of Korean-Chinese and Korean-English translations.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.474-482
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• 2023

Data mining is a technique for extracting valuable information from vast amounts of data by analyzing statistical and mathematical operations, rules, and relationships. In this study, we employed data mining technology to analyze the data concerning the painting poetry of Maehwado (plum blossom paintings) from the early Joseon Dynasty. The data was extracted from the Hanguk Munjip Chonggan (Korean Literary Collections in Classical Chinese) in the Hanguk Gojeon Jonghap database (Korea Classics DB). Using computer information processing techniques, we carried out web scraping and classification of the painting poetry from the Hanguk Munjip Chonggan. Subsequently, we narrowed down our focus to the painting poetry specifically related to Maehwado in the early Joseon Dynasty. Based on this, refined dataset, we conducted an in-depth analysis and interpretation of the text data at the syllable corpus level. As a result, we found a direct correlation between the corpus statistics for each syllable in Maehwado painting poetry and the symbolic meaning of plum blossoms.

• Journal of Acupuncture Research
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• v.21 no.3
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• pp.265-282
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• 2004

Objective : The aim of this study was to review systemically clinical trials on the effectiveness and safety of herbal medicines in the treatment of osteoarthritis. Methods : Computerized literature searches were carried out on seven electronic databases, and hand-searching on some chinese medical journals in library of Kyung Hee Medical Center. Trial data were extracted in a standardized, predefined manner and assessed independently. Results : 1. Thirty reports of clinical trials and two reports of meta-analyses concerning herbal medicine were collected and reviewed. Among these reports three medical herbs were applied as topical medicine and others as internal medicine. 2. The western studies established NSAIDs or placebo as their control group. Five chinese reports established formulated herb pill(Ruanshnagshenjin pill) as their control group and Six did not establish a control group at all. 3. ACR was the most highly used diagnostic criteria in the western studies while the Chinese used their official criteria established by their government or the criteria of their text books. 4. 20 reports chose the Lequesne functional index, SHAQ, WOMAC OA index, AIMS, and their own unique scoring system as the criteria of analysing the effect. Others chose clinical symptoms, articular functions, and lab finding as their criteria. 5. 7 single herbs and 19 formulated herbs were studied. Among the formulated herbs, Achyranthes japonica was studied in 10 of the studies and Angelica gigantis Radix in 8, making them the most often studied herbs among the studies.

• Journal of the Korean earth science society
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• v.41 no.5
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• pp.520-530
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• 2020

The purpose of this study was to investigate students' understanding of the terms presented on the information board in the Jinan-Muju National Geopark. To this end, a survey was conducted with 219 students (147 elementary, 41 middle, and 31 high school students) to determine the level of their perceptions of the geopark, and of the usefulness of the information board, and their understanding of the terms presented on the information boards of the National Geopark. To determine the students' understanding of terms, 10 representative information boards were selected and the entire content was converted into text. Afterwards, 256 key terms were extracted from the text through discussions with three experts, and these terms were presented to students to grasp their level of understanding. The results were as follows: First, the level of students' perceptions about the geopark was very low, so publicity and educational approaches are needed. Second, students were not interested in the information board and had a low level of understanding owing to the large amount of information and reading difficulties. Third, among the 256 terms, the number of terms that students found difficult to understand tended to decrease with increasing school grade: 80 for elementary school students, 53 for middle school students, and 31 for high school students. The reason the students had difficulty in understanding terms was that elementary school students had not yet learned the terms in the curriculum, whereas middle and high school students have difficulty understanding technical terms and Chinese characters. Therefore, the information board in the geopark will need to be easily translated into Chinese characters or additional explanations of technical terms need to be provided so that visitors can understand the concepts more easily.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.1-9
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• 2020

This study aims to find new attributes by analyzing Korea and China duty free store online reviews and examine the influence of these attributes on star ratings(satisfaction)of duty free store. For study, we used Dazhong Dianping that largest online review site in China. Using R, we analyzed 5,659 reviews of Korea duty free store and 4,051 reviews of China duty free store. According to the analysis, Sale, Food and Membership attributes had a positive effect on star rating of Korea duty free store. Sale, Product, Airport, Food and Membership had a positive effect on star rating of China duty free store. This study has identified new factors such as food that showed the importance of providing space of restaurants while shopping at duty free store. This study has contributed to the existing literature by finding new attribute such as food. Practically, this finding will help to duty free industry workers better understand the impact of providing space of restaurants on duty free store.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.2
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• pp.18-25
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• 2017

In computer science, an encoding is a standardization of converting information to one format for audio, video or text. Therefore, the encoding information of the data should be known to open and read it and there are algorithms detecting encoder of the data. However, some informations of data could be disappeared by packet loss when transmitted on network, especially, if the data is snatched by packet sniffing or eavesdropping from wireless communications. In this paper, we improve the performance of encoding detection algorithm of 'uchardet' program for multi-byte encoded data with errors based on bit-shift algorithm. To simulate the performance, we generated Korean and Japanese text data with errors that is removed some random bits at random positions. Then the detection algorithm are tested using the data and 'uchardet-bitshift' showed better performance than 'uchardet'. When Korean texts are used, 'uchardet' could detect perfectly with ≤0.005% errors but it showed 0% detection rate with ≥1% errors while 'uchardet-bitshift' detected perfectly with ≤0.05% errors and it showed correct detection cases with ≥1% errors. Japanese texts with errors tend to report falsely as Chinese encoding because Japanese texts include lots of Chinese characters. As a results, we improved encoding detection algorithms by applying bit shift operation.