• Korean Journal of Heritage: History & Science
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• v.39
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• pp.351-378
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• 2006

With the development of media, the methods for the documentation of intangible cultural heritage have been also developed and diversified. As well as the previous analogue ways of documentation, the have been recently applying new multi-media technologies focusing on digital pictures, sound sources, movies, etc. Among the new technologies, the documentation of intangible cultural heritage using the method of 'Motion Capture' has proved itself prominent especially in the fields that require three-dimensional documentation such as dances and performances. Motion Capture refers to the documentation technology which records the signals of the time varing positions derived from the sensors equipped on the surface of an object. It converts the signals from the sensors into digital data which can be plotted as points on the virtual coordinates of the computer and records the movement of the points during a certain period of time, as the object moves. It produces scientific data for the preservation of intangible cultural heritage, by displaying digital data which represents the virtual motion of a holder of an intangible cultural heritage. National Research Institute of Cultural Properties (NRICP) has been working on for the development of new documentation method for the Important Intangible Cultural Heritage designated by Korean government. This is to be done using 'motion capture' equipments which are also widely used for the computer graphics in movie or game industries. This project is designed to apply the motion capture technology for 3 years- from 2005 to 2007 - for 11 performances from 7 traditional dances of which body gestures have considerable values among the Important Intangible Cultural Heritage performances. This is to be supported by lottery funds. In 2005, the first year of the project, accumulated were data of single dances, such as Seungmu (monk's dance), Salpuri(a solo dance for spiritual cleansing dance), Taepyeongmu (dance of peace), which are relatively easy in terms of performing skills. In 2006, group dances, such as Jinju Geommu (Jinju sword dance), Seungjeonmu (dance for victory), Cheoyongmu (dance of Lord Cheoyong), etc., will be documented. In the last year of the project, 2007, education programme for comparative studies, analysis and transmission of intangible cultural heritage and three-dimensional contents for public service will be devised, based on the accumulated data, as well as the documentation of Hakyeonhwadae Habseolmu (crane dance combined with the lotus blossom dance). By describing the processes and results of motion capture documentation of Salpuri dance (Lee Mae-bang), Taepyeongmu (Kang seon-young) and Seungmu (Lee Mae-bang, Lee Ae-ju and Jung Jae-man) conducted in 2005, this report introduces a new approach for the documentation of intangible cultural heritage. During the first year of the project, two questions have been raised. First, how can we capture motions of a holder (dancer) without cutoffs during quite a long performance? After many times of tests, the motion capture system proved itself stable with continuous results. Second, how can we reproduce the accurate motion without the re-targeting process? The project re-created the most accurate motion of the dancer's gestures, applying the new technology to drew out the shape of the dancers's body digital data before the motion capture process for the first time in Korea. The accurate three-dimensional body models for four holders obtained by the body scanning enhanced the accuracy of the motion capture of the dance.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.

• Journal of dental hygiene science
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• v.7 no.4
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• pp.287-293
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• 2007

As a result of having surveyed and analyzed recognition and requirement of dental hygienists for Academic Credit Bank System, the recognition on Academic Credit Bank System accounted for 70.8%, and in terms of information media recognized, surrounding people were the highest with 52.4%. And, in case of the response as saying of being willing to participate, an opportunity of acquiring a bachelor's degree accounted for 24.0%, and in case of the response as saying of being unwilling to participate, the lack of time that will take part in education activity accounted for 13.7%, thereby having been surveyed to be the most preferential choice, respectively. The importance by sphere in course programs was indicated to be the sphere of preventive dental treatment with 3.61, the sphere of dental management with 3.38, the sphere of oral health education with 3.09, the sphere of medical-treatment coordination with 2.82, and the sphere of community dental health with 2.11 in order. The importance by field of sphere in course programs was indicated to be high in the field of oral health education by subject with 2.30 for the field of sphere in oral health education, in the field of plaque control and oral prophylaxis with 3.53 for the field of sphere in preventive dental treatment, in the field of management of the fluoride mouth-rinsing programme with 2.86 for the field of sphere in community dental health, in the field of counselling with 3.24 for the field of sphere in dental management, and in the field of medical-treatment assistance with 1.53 for the field of sphere in medical-treatment coordination.

• Journal of dental hygiene science
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• v.8 no.4
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• pp.313-322
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• 2008

The purpose of this study was to examine the awareness of dental hygienists in different regions about credit bank system and their needs for that. The subjects in this study were 312 dental hygienists in dental hospitals and clinics in Seoul, Gyeonggi province, metropolitan cities, Gangweon province and Gyeongsang province. After a survey was conducted in 2008, the collected data were analyzed with SPSS 11.5 program. The findings of the study were as follows: 1. In regard to perception of the credit bank system, 68.3 percent of the dental hygienists were cognizant of that. The dental hygienists from most of the geographic areas were aware of it, but all the forty three dental hygienists from Gangweon province who accounted for 13.8 percent didn't know about that. As for media by which they acquired information on that, many of the dental hygienists learned about it from their acquaintances (46.2%), but that was not the case for the dental hygienists from Seoul and Gyeonggi province. 2. As for expectations for the credit bank system, those from Gyeongsang province had the greatest expectations for that in six out of nine items, which included academic or job performance improvement, acquisition of credits, degree or certificates and access to new technology. 3. Concerning educational spending on the credit bank system, 18.9 percent and 8.7 percent from Seoul/Gyeonggi province and Gangweon province spent less than 30 thousand won, and 19.9 percent from the metropolitan cities spent 30 thousand to less than 50 thousand won. 4. As for the importance of the categories of their major in the credit bank system, those from Gangweon province attached the most importance to oral health education ($3.56{\pm}1.259$), and the dental hygienists from the metropolitan cities put the most stress on preventive treatment ($3.64{\pm}1.191$).

• Journal of the East Asian Society of Dietary Life
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• v.20 no.3
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• pp.341-351
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• 2010

The dietary habits of 156 female college students in the Department of Food and Nutrition (n=79) and other departments (n=77) at Sahmyook University, Nowon-gu, Seoul were evaluated from September to December, 2009. All participants completed a questionnaire designed to determine the mini dietary assessment score, as well as to evaluate nutrient intake, healthrelated questions and to determine a physical score. The students in the department of food and nutrition tended to consume more vegetables than Kimchi for each meal (39.2%), fried foods twice a week (38.0%) (p<0.05) and less fruits and fruit juices (29.1%). In addition, 15.2% of students ate Samgyeopsal and Galbi less than two times a week (p<0.05). The subjects in the department of food and nutrition took less vitamin $B_1$ and more vitamin C and E than the subjects in the other departments (p<0.05). All subjects regularly exercised for 30 minutes to 1 hour (45.7%), one or two times weekly (43.5%). The subjects in the other departments consumed more nutrient supplements. Overall, 69.1% of the subjects consumed nutrient supplements. A total of 87.8% of the subjects in the other departments consumed alcoholic beverages and all subjects began to drink when they were in high school (50.4%). The primary reason given to continue drinking was to maintain good relationships with friends (76.7%). Overall, the results of this study indicate that students in the department of food and nutrition of Sahmyook university have better dietary habits and nutrient intake than those in other departments. The results highlight the necessary to introduce a practical method of inducing good dietary habits to the everyday life of students. One approach may be to provide greater opportunity for students in other departments to attend classes in the department of food and nutrition.

• Journal of Korean Home Economics Education Association
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• v.20 no.1
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• pp.45-62
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• 2008

The purpose of this study was to investigate middle school home economics(HE) teachers' perception and needs on self supervision related to HE subject matter, Using the methods of survey and interview, 177 samples were collected. For collected surveys, mean value, standard deviation, frequency, percentage analysis were performed by using an SPSS/Win (ver10.1) program. The results of this study were as follows. First, the middle school HE teachers recognized that self supervision related to HE subject matter was absolutely needed to expand the improvement of techniques for teaching instructions and the width of knowledge on the studies on textbook. Second, the middle school HE teachers recognized the necessary parts of self supervision related to HE subject matter as HE teaching-learning methods, the studies on textbook contents, and HE education philosophy in order. Third, the middle school HE teachers recognized that it would be helpful in improving their HE class and expertise in order of field survey, participation in various training programs, utilization of mass media, participation in societies for researches and meetings and information sharing with co-teachers among the types of self supervision. Fourth, the middle school HE teachers needed the reduction in miscellaneous duties, less pressure for time, restoration of teachers' desire, support of physical resources (improvement of various environments such as classrooms and special rooms), economic support and various support programs (expanding the opportunities to participate in training and society and establishment of a database for relevant materials, etc.) to facilitate self supervision. As such, the middle school HE teachers' overall recognition on HE-related self supervision became significantly higher. To enhance the HE-related expertise, however, it would be necessary to conduct concrete and active support for HE education, philosophical area and the studies on textbook contents as well as the teaching-learning methods for HE in which teachers' demand was high. In addition, the HE teachers wanted to have an easy and quick access to various HE-related data; therefore, it would be urgent to summarize scattered relevant data and support the HE teachers more systematically.

• The Critical Review of Religion and Culture
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• no.32
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• pp.186-218
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• 2017

The ritual food is one of the indispensable elements in rituals of Korean folk beliefs. This is ascertained by the fact that a very simple ritual cannot be practiced and performed even without offering a bowl of water. In this regard, it is properly claimed that food is an essential medium of communications between man and gods if they spiritually meet and communicate each other by way of various rituals in Korean folk beliefs. It is possible to point out Gut, the typical ritual of Korean Shamanism as an example of serving the ritual foods among Korean folk beliefs. One of the striking phenomena in Gut(Korean Shamanism's rituals) is various ritual foods on the tables for Gut. There is no Gut performances without offering ritual foods, and the ritual food in Gut practices is more than just food offering to the gods. Moreover the ritual food tells that what kind of Gut it is and for what purpose it is performed, for whom it is set up. And even the invited gods of Musok are disclosed according to the ritual food in Gut. Also some parts of Musok's worldview are appeared and actualized through the ritual food in Gut. In this sense the ritual food in Gut is one of the important channels for understanding Gut and Musok, and one of the explanation systems about Musok. Even if recognized the importance of the ritual food in Gut, it still has not been draw proper attentions to deserving its importance in the researches on Musok and Gut. Upon the critical reviews on such tendencies of the previous studies this paper tries to clarify the characteristics and significances of the ritual food in Gut by examining the Jinjuk Gut in Seoul area as an case study. On the basis of this examination, the ritual food in Gut comes up to be one of the important paths to understanding Gut and Musok as an explanatory system on Musok in general.

• Journal of Korean Home Economics Education Association
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• v.34 no.4
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• pp.143-161
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• 2022

The aim of this study is to identify the learning performance of online classes using problem-based learning(PBL) for clothing and textiles majors in college with the increased use of online learning tools after the COVID-19 pandemic. In order to achieve this goal, the PBL was developed and applied to the 'Fashion Marketing and Merchandising' class conducted in real-time online at University in North Chungcheong Province, Korea for four weeks. After a four-week PBL class, a survey was conducted on 35 students in the 'Fashion Marketing and Merchandising' class and the 35 completed questionnaires were used for analysis. The measurement tools of this study were self-directed learning, cooperative learning ability, problem-solving ability, and learning achievement regarded as an important learning effect in PBL class. In addition, students' self-reflective essays were also analyzed to examine the educational effect of PBL applying online classes. As a result of this study, bivariate correlations among the four variables, students' self-directed learning, cooperative learning ability, problem-solving ability, and learning achievement were significantly positive. Furthermore, the results of multiple regression analysis showed that the three independent variables had significant effects on students' perceived learning achievement, in the order of cooperative learning ability, self-directed learning, and problem-solving ability. The students' self-reflective essays indicated that problem-based learning worksheet was helpful for identifying problems, and clarifying what they already and what they need to study more. Based on this study, it could be recommended that online class applying PBL could contribute to the improvement of student's learning performance.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.45-69
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• 2016

Recently, sentiment analysis using open Internet data is actively performed for various purposes. As online Internet communication channels become popular, companies try to capture public sentiment of them from online open information sources. This research is conducted for the purpose of analyzing pulbic sentiment of Korean Top-10 companies using a multi-categorical sentiment lexicon. Whereas existing researches related to public sentiment measurement based on big data approach classify sentiment into dimensions, this research classifies public sentiment into multiple categories. Dimensional sentiment structure has been commonly applied in sentiment analysis of various applications, because it is academically proven, and has a clear advantage of capturing degree of sentiment and interrelation of each dimension. However, the dimensional structure is not effective when measuring public sentiment because human sentiment is too complex to be divided into few dimensions. In addition, special training is needed for ordinary people to express their feeling into dimensional structure. People do not divide their sentiment into dimensions, nor do they need psychological training when they feel. People would not express their feeling in the way of dimensional structure like positive/negative or active/passive; rather they express theirs in the way of categorical sentiment like sadness, rage, happiness and so on. That is, categorial approach of sentiment analysis is more natural than dimensional approach. Accordingly, this research suggests multi-categorical sentiment structure as an alternative way to measure social sentiment from the point of the public. Multi-categorical sentiment structure classifies sentiments following the way that ordinary people do although there are possibility to contain some subjectiveness. In this research, nine categories: 'Sadness', 'Anger', 'Happiness', 'Disgust', 'Surprise', 'Fear', 'Interest', 'Boredom' and 'Pain' are used as multi-categorical sentiment structure. To capture public sentiment of Korean Top-10 companies, Internet news data of the companies are collected over the past 25 months from a representative Korean portal site. Based on the sentiment words extracted from previous researches, we have created a sentiment lexicon, and analyzed the frequency of the words coming up within the news data. The frequency of each sentiment category was calculated as a ratio out of the total sentiment words to make ranks of distributions. Sentiment comparison among top-4 companies, which are 'Samsung', 'Hyundai', 'SK', and 'LG', were separately visualized. As a next step, the research tested hypothesis to prove the usefulness of the multi-categorical sentiment lexicon. It tested how effective categorial sentiment can be used as relative comparison index in cross sectional and time series analysis. To test the effectiveness of the sentiment lexicon as cross sectional comparison index, pair-wise t-test and Duncan test were conducted. Two pairs of companies, 'Samsung' and 'Hanjin', 'SK' and 'Hanjin' were chosen to compare whether each categorical sentiment is significantly different in pair-wise t-test. Since category 'Sadness' has the largest vocabularies, it is chosen to figure out whether the subgroups of the companies are significantly different in Duncan test. It is proved that five sentiment categories of Samsung and Hanjin and four sentiment categories of SK and Hanjin are different significantly. In category 'Sadness', it has been figured out that there were six subgroups that are significantly different. To test the effectiveness of the sentiment lexicon as time series comparison index, 'nut rage' incident of Hanjin is selected as an example case. Term frequency of sentiment words of the month when the incident happened and term frequency of the one month before the event are compared. Sentiment categories was redivided into positive/negative sentiment, and it is tried to figure out whether the event actually has some negative impact on public sentiment of the company. The difference in each category was visualized, moreover the variation of word list of sentiment 'Rage' was shown to be more concrete. As a result, there was huge before-and-after difference of sentiment that ordinary people feel to the company. Both hypotheses have turned out to be statistically significant, and therefore sentiment analysis in business area using multi-categorical sentiment lexicons has persuasive power. This research implies that categorical sentiment analysis can be used as an alternative method to supplement dimensional sentiment analysis when figuring out public sentiment in business environment.