• The Journal of Korean Medical History
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• v.25 no.1
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• pp.5-10
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• 2012

The aim of this study is to create a catalogue of amnesia synonyms in Traditional Korean Medicine for database utilization. A two-staged literature search was carried out. First, two databases(China National Knowledge Infrastructure:CNKI, Oriental Medicine Advanced Searching Integrated System:OASIS) were searched for eligible articles, and a set of candidate words was identified from the articles. Second, the candidate words were searched in 30 medical classics to check the frequency of use. As a result, 9 candidate words including 喜忘(huimang), 善忘(seonmang), 多忘(damang), 好忘(homang), 健忘(geonmang), 遂忘(sumang), 遺忘(yumang), 忘事(mangsa), and 易忘(imang) were identified from the 10 eligible articles. Among the 9 candidate words, 健忘(geonmang) was a descriptor and 7 other words including 喜忘(huimang), 善忘(seonmang), 多忘(damang), 好忘(homang), 遂忘(sumang), 遺忘(yumang), 忘事(mangsa) were non-descriptors. 易忘(imang) was not an adequate synonym for amnesia.

• The Transactions of the Korea Information Processing Society
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• v.2 no.6
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• pp.839-846
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• 1995

In this paper, the spelling errors which are made by human being in the real word processors are collected and analyzed. Based on these data, we make a prototype which can perform spell aid function providing candidate words. The number of candidate characters are minimized by the frequency of Jaso and character, so the number of candidate words could be minimized. The average number of candidate words presented are 3.2 to 8, and 62.1 % to 84.1% of the correct words are presented in the candidate words.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.6
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• pp.1196-1203
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• 2011

The reduced frequency selectivity is a typical phenomenon of sensorineural hearing loss. In this paper, we compared two modeling methods for reduced frequency selectivity of hearing impaired people. The two models of reduced frequency selectivity were made using LPC(linear prediction coding) algorithm and bandwidth control algorithm based on ERB(equivalent rectangular bandwidth) of auditory filter, respectively. To compare the effectiveness of two models, we compared the result of PESQ (perceptual evaluation of speech quality) and LLR(log likelihood ratio) using 36 Korean words of two syllables. To verify the effect on noise condition, we mixed white and babble noise with 0dB and -3dB SNR to speech words. As the result, it is confirmed that the PESQ score of bandwidth control algorithm is higher than the score of LPC algorithm, on the other hands, and the LLR score of LPC algorithm is lower than the score of bandwidth control algorithm. It means that both non-linearity and widen auditory filter characteristics caused by reduced frequency selectivity could be more reflected in bandwidth control algorithm than in LPC algorithm.

• Journal of Korean language education
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• v.29 no.2
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• pp.25-48
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• 2018

The aim of this study was to analyze research trends in the fields of Korean Language and Literature, Korean Language Education, and Korean Language Education as a Foreign Language. To this end, key words were extracted from 29,470 academic theses published between 2000 and 2017. The results of the analysis are as follows. First, in the field of Korean Language and Literature, there is greater quantity in studies about Korean language than about literature, and starting from 2010, there was an increase in studies similar to those from the field of Korean Language Education as a Foreign Language. Next, in comparison to the other fields, the field of Korean Language Education has greater variance in its research theme-in particular, numerous studies related to the site of education. Finally, the field of Korean Language Education has the following trends: a) there are copious studies focused on Korean language learners in comparison to other fields, b) there are a greater number of studies focused on culture, and c) the key words change by time period which suggest that research demands transformed over time. Overall, a total of 64 highest frequency key words from the three academic fields were investigated. Of these, 22 were common key words and 42 were differential key words. In this way, it was possible to illuminate the identity of each field.

• Education of Primary School Mathematics
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• v.25 no.4
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• pp.361-375
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• 2022

In this study, the vocabularies in elementary mathematics textbooks for grade 1-2 were analyzed according to 9-degree of semantic system. Also, the types of vocabulary were analyzed using general academic words, mathematics specific concept words, and mathematics general concept words. As a result, percentages of 1-degree and 2-degree vocabulary was the most in both grade 1 and 2 mathematics textbooks. It also shows that some of general academic words were 3-degree vocabulary and some of mathematics specific concept words were either unregistered or 1-degree vocabulary. In particular, general academic words, which are 3-degree vocabulary, may be unfamiliar to 1^st and 2^nd grade students. Therefore, students should be given the opportunity to guess and understand the contextual meaning of general academic words from the given contexts in textbooks. The frequency of use of mathematics general concept words in grade 2 textbook increased significantly compared to grade 1 textbook. Since mathematics general concept words are academic and technical vocabulary they should be taught explicitly. Based on the results of this study, implications for vocabulary instruction in mathematics textbooks were discussed.

• English Language & Literature Teaching
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• v.17 no.1
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• pp.17-35
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• 2011

The purpose of this study was to explore the effect of an explicit word instruction for EFL beginning readers and their perception on the learning experience. Data were attained from 16 fourth graders who took English class as a development activity. Data include the results of pre- and post-test of high frequency sight word recognition, oral reading ability, students' survey responses, and teacher observation. The descriptive statistics were obtained for the result of the pre- and post-test. The findings from the student survey and teacher observation were also provided and interpreted to better understand the result of project and students' perception on the learning experience. The followings are the results of this study. The word recognition ability of the students was dramatically improved after the project. The students were satisfied with the overall learning experience perceiving it as helpful and fun learning. They expressed that the explicit word instruction helped their word recognition and reading ability. The results also supported that the confidence of students on their reading ability were heightened. Several suggestions are made for teachers and researchers on the word instruction for young EFL learners who are beginning readers.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.4
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• pp.405-412
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• 2019

SOLAS requires that ECDIS be installed on ships of more than 500 gross tonnage engaged in international navigation until the first inspection arriving after July 1, 2018. Several accidents related to the use of ECDIS have occurred with its installation as a new major navigation instrument. The 12 incident reports issued by MAIB, BSU, BEAmer, DMAIB, and DSB were analyzed, and the cause of accident was determined to be related to the operation of the navigator and the ECDIS system. The text was analyzed using the R-program to quantitatively analyze words related to the cause of the accident. We used text mining techniques such as Wordcloud, Wordnetwork and Wordweight to represent the importance of words according to their frequency of derivation. Wordcloud uses the N-gram model as a way of expressing the frequency of used words in cloud form. As a result of the uni-gram analysis of the N-gram model, ECDIS words were obtained the most, and the bi-gram analysis results showed that the word "Safety Contour" was used most frequently. Based on the bi-gram analysis, the causative words are classified into the officer and the ECDIS system, and the related words are represented by Wordnetwork. Finally, the related words with the of icer and the ECDIS system were composed of word corpus, and Wordweight was applied to analyze the change in corpus frequency by year. As a result of analyzing the tendency of corpus variation with the trend line graph, more recently, the corpus of the officer has decreased, and conversely, the corpus of the ECDIS system is gradually increasing.

• Journal of Oral Medicine and Pain
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• v.19 no.2
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• pp.169-180
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• 1994

The aim of this study was to compare pain descriptions in common dental patients with those in patients with Temporomandibular disorders(TMDs). The study sample consisted of 104 common dental patients and 74 patients with TMDs, and their chief complaint was pain, Subjects were classified common dental pain group and TMDs pain group, respectively. All the subjects completed Korean Pain Rating Scale(KPRS) on first visit. KPRS contains 90 pain terms, which divided into 20 subclasses in 3 dimensions. Each subclass contains 3-6 pain terms. each patient had chosen only one term from each subclass. If there was no proper term, subject could pass the subclass without completion. Words chosen were categorized into sensory, affective, miscellaneous and total dimension. Thereafter they were processed and analyzed by SPSS/PC+ statistical package program with respect to rank values, scale values, number of words chosen and frequency of each subclass. The obtained results of this study were as follows : 1. Total mean number of words chosen was 7.6. 2. Chronic patients groups with Temporomandibular disorders had chosen more freuently from the subclasses in affective dimension than the patients in acute common dental pain group. 3. Frequency of affective dimension was higher in chronic patients groups with Temporomandibular disorders than that of acute patients group with Temporomandibular disorders. 4. Chronic patients group with Temporomandibular disorders had higher frequency in constrictive pressure pain, traction pressure pain, dull pain and fatigue-related pain terms than acute common dental patients group. 5. Acute patients group with Temporomandibular disorders had higher frequency in traction pressure pain and dull pain terms but had lower frequency in chemical pain, peripheral nerve pain and cold pain terms than acute common dental patients groups. 6. There were high positive correlation between the scale- and rank-value in the pain rating index.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.181-190
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• 2020

The purpose of this study is to analyze the trends of wearable keywords using text mining methodology. To this end, 11,952 newspaper articles were collected from 1992 to 2019, and frequency analysis and bi-gram analysis were applied. The frequency analysis showed that Samsung Electronics, LG Electronics, and Apple were extracted as the highest frequency words, and smart watches and smart bands continued to emerge as higher frequency in terms of devices. As a result of the analysis of the bi-gram, it was confirmed that the sequence of two adjacent words such as world-first and world-largest appeared continuously, and related new bi-gram words were derived whenever issues or events occurred. This trend of wearable keywords will be useful for understanding the wearable trend and future direction.

• Korean Journal of Cognitive Science
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• v.18 no.4
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• pp.325-350
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• 2007

This study investigated global and local characteristics of eye movement while 16 college students read 48 easy Korean sentences. It was found that readers lusted for about 225ms at the word cluster(eojeol), made a forward saccade of about 3.6 characters to the next word, skipped short and high-frequent words about 25% during the first-pass reading, and regressed backward at 19%. There were also individual differences in readers' pattern of fixation and saccade. In addition, the effects of word cluster length and word frequency and the effects related to landing position were examined. The eyes landed on the center of a word cluster more frequently than on the boundaries. When the eyes landed at the boundaries, the eyes fixated the word cluster again more frequently. The word clusters with high-frequency words were read faster than those with low-frequency words.