• Journal of the Korean Institute of Rural Architecture
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• v.19 no.4
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• pp.67-75
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• 2017

This paper overall and systematically investigates of basic design know-how on commonly indwelling timber framework in a folk house in Yeosu area. in other words, Setting the goal of 'investigates of common form of timber framework', and for this goal, surveyed and analyzed for folk house a lot of findable in Yeosu area. As a result, elicits for four types plural common form((1) 4 front 'kan' - a hipped roof construction - front 'toi'/3 'ryang' - no central pillar/side beam type, (2) 4 front 'kan' - a hipped roof construction - front 'toi'/3 'ryang' - one side central pillar/central side beam type, (3) 4 front 'kan' - a hipped roof construction - front/back 'toi'/2'kozu'5'ryang' - no central pillar/side beam type, (4) 4 front 'kan' - a hipped roof construction - front/back 'toi'/'2kozu'5'ryang' - one side central pillar/central side beam type). Common form is at that time, so commonly located in the head of the technician that a form that play an exemplary role in design, or it is concretely assumed for commonly aimed form. in other words, Common form is come into existence on premise for basic design data. Documentation of folk house design know-how is done through this, and the base design and specification of korean private house is written in the contents divided into by areas.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.491-498
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• 2022

In this paper, as a liberal arts course for non-major students, a case study of recurrent neural network SW practice, which is essential for designing a basic recurrent neural network subject curriculum, was developed. The developed SW practice case focused on understanding the operation principle of the recurrent neural network, and used a spreadsheet to check the entire visualized operation process. The developed recurrent neural network practice case consisted of creating supervised text completion training data, implementing the input layer, hidden layer, state layer (context node), and output layer in sequence, and testing the performance of the recurrent neural network on text data. The recurrent neural network practice case developed in this paper automatically completes words with various numbers of characters. Using the proposed recurrent neural network practice case, it is possible to create an artificial intelligence SW practice case that automatically completes by expanding the maximum number of characters constituting Korean or English words in various ways. Therefore, it can be said that the utilization of this case of basic practice of recurrent neural network is high.

• Journal of Korea Game Society
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• v.10 no.4
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• pp.35-48
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• 2010

The purpose of the present study was to suggest basic word lists and contents of English for mobile games and to propose how to apply basic word lists to mobile games for English vocabulary learning because it is possible that some potential advantages of mobile games can provide elementary school students with new learning environment for English vocabulary learning. To support this idea, firstly, the basic word lists were selected from essential word lists in the national English curriculum, the word lists from textbooks, and five randomly chosen word books. Secondly, mobile games were examined and appropriate mobile games for learning English words was selected. Lastly, the basic word lists for mobile games were applied to the selected game.

• Science of Emotion and Sensibility
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• v.21 no.2
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• pp.61-72
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• 2018

Different types of traditional Korean clothes (Hanbok) are appearing in the market with the increasing interest of culture consumers. In order to turn traditional Korean clothes into everyday clothes that adequately reflect various demands of culture consumers, it is important to satisfy both functional and emotional aspects of clothing. However, there is lack of existing studies on emotions of culture consumers while wearing traditional Korean clothes. In this study, 28 emotional words regarding traditional Korean clothes were extracted by applying the Delphi method and conformity rating survey to 182 emotional words reported in existing studies and references from areas such as psychology, linguistics, and sensibility engineering. The 28 selected emotional words can be used to express emotions felt by culture consumers about traditional Korean clothes. Also, words were grouped based on the correlation according to factor analysis. Based on common characteristics, the emotional words were classified into 6 categories of 'pleasure,' 'aesthetic sense,' 'harmony,' 'novelty,' 'likability,' and 'stability.' These 6 emotional categories were concluded to represent emotions of consumers about traditional Korean clothes. The 28 emotional words and 6 representative emotions noted in this study can be used as basic data for measuring emotions of culture consumers of traditional Korean clothes. A future study task is to design a detailed assessment scale to measure emotions of culture consumers about traditional Korean clothes using representative emotions.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.675-695
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• 2023

To learn mathematics effectively, understanding vocabulary is essential. Accordingly, as a way to present vocabulary for mathematics education, high-frequency vocabulary was extracted from the 2009 revised 1st and 2nd grade mathematics textbooks and the 2015 revised 1st and 2nd grade mathematics textbooks. At this time, mathematics textbooks were analyzed by grade and semester, and vocabulary with a common frequency of 5 or more was extracted. In order to use it effectively in school settings, common vocabulary for each grade and intensive vocabulary for each semester were presented. As a result of the study, 61 vocabulary words for first grade education and 121 vocabulary words for second grade education were selected. As a result of analysis by vocabulary level, various levels of vocabulary from grades 1 to 5 were used. As a result of analysis by vocabulary type, the proportion of academic words increased similarly, but the proportion of technical words was found to be highest in the first semester of the second year. Based on these results, the extracted vocabulary for mathematics education is used as a resource for vocabulary instruction for students' mathematics education in each grade to help students learn mathematics.

• Journal of Acupuncture Research
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• v.28 no.1
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• pp.15-28
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• 2011

Objectives : To understand the strength and weakness of traditional warm needle acupuncture based on existing research outcomes in Korea mostly and to suggest how to build the desirable warm needle acupuncture apparatus by overcoming demerits of traditional and currently existing ones. Methods : We searched warm needle relating papers in Korean with the key words of '온침, 화침, 열자극' by using DBpia, Journal of Korean Oriental Medical Society, Journal of Korean Acupuncture & Moxibustion Society and Journal of Society for Meridian and Acupoint. Degree dissertations in Korean were also searched with the same words through the search engine of Library of Kyung Hee University. We also searched with words of 'warm, thermal, heat, needle, acupuncture, temperature' via Pubmed and found a small number of English written papers and large number of Chinese written ones. To find english translated version of those papers, we googled with the same words with no success. Results : About 20 papers on warm needle acupuncture written in Korean were found and analyzed with respect to experimental factors that affected the thermal properties or the amount of heat stimulus of the acupuncture. More rigorous descriptions seemed to be required on the insertion depth, duration and manipulation of warm needle treatment. A basic heat transfer model was presented for the clarification of heat loss through the needle of warm needle acupuncture. Environmental factors such as air flow on the properties seems to be considered for the warm needle acupuncture. Conclusions : Papers on warm needle acupuncture were reviewed and analyzed based on their thermal properties and tools such as needles and moxa cones. Several suggestions were made on the descriptions relating the properties. Necessary specifications were introduced to aim modernized warm needle systems.

• PNF and Movement
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• v.16 no.3
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• pp.365-376
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• 2018

Purpose: This study investigates research trends in the Proprioceptive Neuromuscular Facilitation (PNF) and Movement journal. Methods: This study analyzes the frequency of keywords and their coincidences with medical subject headings (MeSH) over 15 years in 315 papers from volume 1, issue 1 to volume 15, issue 3 of a journal published by the Korean Proprioceptive Neuromuscular Facilitation Association. The research types and levels are also analyzed, and the journals are classified by subject, diagnosis, application of PNF, and technique used when PNF is applied. All of the variables are classified in five-year units and their trends are examined. Results: A total of 315 papers were published in 40 issues, and 1190 keywords were used over 15 years. The most frequently used keyword was "PNF." For the keywords that coincided with the MeSH, there were 235 (19.74%) complete coincidence words, 167 (14.03%) incomplete coincidence words, and 788 (66.21%) complete incoincidence words. Thus, the number of complete incoincidence words was the largest. For research types, there were 196 (61.90%) experimental studies, which was the most studied research type. For research levels, there were 155 (49.21%) Level 3 studies (non-randomized trial), which was the research level with the largest number of papers. Normal people were the most common subjects (121 cases, 38.41%), and the number of papers that did not use PNF was 187 (59.37%), which was larger than those that used PNF. The most frequently used combination technique was isotonics when PNF was used. Conclusion: Basic data on PNF-related research was obtained by analyzing papers published over the past 15 years. This information can be used to suggest future directions for PNF research.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.449-456
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• 2019

This study attempted to improve the quality of hairstyling-related studies and provide basic data for future studies on hairstyling terms through analysis of cosmetology-related loan words used in hairstyling theses among recent cosmetology papers. For data collection to derive valid conclusions, the signatures of a total of 1,980 academic papers collected after typing in the keyword 'Hair' at the Research Information Sharing Service (http://www.riss.kr) were analyzed. The results show that researchers in hairstyling seem not to pay close attention to the correct use of foreign loan words. Therefore, the study results would be very helpful to the development of future cosmetology studies. The correct notation and use of foreign loanwords should be further encouraged.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.1
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• pp.113-127
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• 2021

This study aims to analyze the style of men's suits and extract expressional words for the development of semantic differential scales of visual images according to the change in silhouette. Research methods are literature studies, case studies, and questionnaires. The stimuli were created using CLO 3D, a virtual sewing CAD. This study's results are as follows: 1) The British suit jacket has an angled shoulder line using thin pads, and a slightly higher waistline. The pants of the suit have a high waistline and two pleats, so the thighs of the pants are wide. The American suit jacket has a natural shoulder line, and the waistline is not emphasized. The width of the jacket is relaxed, and the length is long. The pants of the suit have a higher waistline, and the pants are wide as well. The Italian suit jacket has wide shoulders, and the waistline is connected lower with a soft curve, and the length is relatively short. The trousers of the suit are tapered and get narrower as it goes down to the hem. 2) Because it originated in the practices of true bespoke tailoring, traditional British suits have a far more 'fitted' silhouette than the mass-produced styles that became emblematic of the American style. By the late 1950s, a sack-style suit was standard American business attire. This technique gives the sack suit its characteristically 'boxy' silhouette. The "Continental" presented a highly tailored silhouette, with padded shoulders, a slim, tight-fitting chest, and a closely tapered waist. The story was that Italian culture valued aesthetics over all else and thus sought the 'slim' suit style as much as possible. 3) The main expressional words of visual images for men's suits differ greatly depending on the silhouette of suit. The visual images are ranked in the order of 'neat', 'classic', 'educated', 'hard', 'mature', for fitted silhouettes. The words of 'masculine', 'basic', 'comfortable', 'simple', 'mature', 'conservative', 'modern', are ranked for boxy silhouettes. And the words of 'slim', 'young', 'neat', are noted for slim silhouettes.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.123-138
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• 2017

Since the stock market is driven by the expectation of traders, studies have been conducted to predict stock price movements through analysis of various sources of text data. In order to predict stock price movements, research has been conducted not only on the relationship between text data and fluctuations in stock prices, but also on the trading stocks based on news articles and social media responses. Studies that predict the movements of stock prices have also applied classification algorithms with constructing term-document matrix in the same way as other text mining approaches. Because the document contains a lot of words, it is better to select words that contribute more for building a term-document matrix. Based on the frequency of words, words that show too little frequency or importance are removed. It also selects words according to their contribution by measuring the degree to which a word contributes to correctly classifying a document. The basic idea of constructing a term-document matrix was to collect all the documents to be analyzed and to select and use the words that have an influence on the classification. In this study, we analyze the documents for each individual item and select the words that are irrelevant for all categories as neutral words. We extract the words around the selected neutral word and use it to generate the term-document matrix. The neutral word itself starts with the idea that the stock movement is less related to the existence of the neutral words, and that the surrounding words of the neutral word are more likely to affect the stock price movements. And apply it to the algorithm that classifies the stock price fluctuations with the generated term-document matrix. In this study, we firstly removed stop words and selected neutral words for each stock. And we used a method to exclude words that are included in news articles for other stocks among the selected words. Through the online news portal, we collected four months of news articles on the top 10 market cap stocks. We split the news articles into 3 month news data as training data and apply the remaining one month news articles to the model to predict the stock price movements of the next day. We used SVM, Boosting and Random Forest for building models and predicting the movements of stock prices. The stock market opened for four months (2016/02/01 ~ 2016/05/31) for a total of 80 days, using the initial 60 days as a training set and the remaining 20 days as a test set. The proposed word - based algorithm in this study showed better classification performance than the word selection method based on sparsity. This study predicted stock price volatility by collecting and analyzing news articles of the top 10 stocks in market cap. We used the term - document matrix based classification model to estimate the stock price fluctuations and compared the performance of the existing sparse - based word extraction method and the suggested method of removing words from the term - document matrix. The suggested method differs from the word extraction method in that it uses not only the news articles for the corresponding stock but also other news items to determine the words to extract. In other words, it removed not only the words that appeared in all the increase and decrease but also the words that appeared common in the news for other stocks. When the prediction accuracy was compared, the suggested method showed higher accuracy. The limitation of this study is that the stock price prediction was set up to classify the rise and fall, and the experiment was conducted only for the top ten stocks. The 10 stocks used in the experiment do not represent the entire stock market. In addition, it is difficult to show the investment performance because stock price fluctuation and profit rate may be different. Therefore, it is necessary to study the research using more stocks and the yield prediction through trading simulation.