• 근관절건강학회지
• /
• 제22권3호
• /
• pp.205-218
• /
• 2015

Purpose: This study was performed to analyze the visiting nurses' job using Developing a curriculum (DACUM). Methods: The DACUM committee with 6 visiting nurses participated in the workshop. In this workshop, the visiting nurses role was defined and their duties and tasks were identified. After content validation via the experts, the pilot test was conducted to 78 nurses. Results: A total of 13 duties and 82 tasks were identified on the DACUM chart which represented the importance, difficulty, and frequency of tasks with alphabet A, B, and C as its higher degree. Regarding duties, 'visiting nursing for high risk group' is the highest, while the lowest was 'public welfare events'. Regarding to tasks, 'discovering a new patient' was the highest, while 'selecting patients and offering medical supplies (nutritional supplement, patch)' was the lowest one. Conclusion: The results showed that visiting nurses working in the visiting health care service center were doing more various duties and tasks than those working according to 'Act on Long-term Care Insurance for the Aged'. The results can be used to develop training programs for visiting nurses and evaluation-scale of their job performance.

• 디지털산업정보학회논문지
• /
• 제8권4호
• /
• pp.83-90
• /
• 2012

With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

• 만화애니메이션 연구
• /
• 통권32호
• /
• pp.363-381
• /
• 2013

본 논문은 모바일 웹 상에서 오프라인의 학습 내용을 복습 할 때 학습 동영상에 필요한 재학습 영역을 프레임 단위로 중요 영역만 캡처한다. 캡처된 프레임은 영상 중에서 진행된 학습 시간과 이미지의 형태로 저장하고 또한 설명에 대한 메모 기능을 함께 저장한다. 캡처 영역은 학습자에 필요한 영역만 재학습하는 학습자 중심의 맞춤형 시스템을 적용할 수 있다. 캡처 프로그램의 구성은 학습 순서에 상관없이 선택한 순서에 따라 프레임 단위 캡처로 사용자 중심의 스토리텔링형 학습을 적용할 수 있다. 캡처 시스템 효과는 전체 학습에 비해 학습 시간을 절약하고 학습자 중심의 프레임 재구성으로 맞춤형 학습에 따른 학습 효용성 향상에 긍정적인 역할을 한다.

• 한국의류학회지
• /
• 제41권6호
• /
• pp.1060-1070
• /
• 2017

This study seeks methods to analyze users' perception in fashion designs shown in social media using textmining analysis methods. The research methods selected 'men's stripe shirts' as subjects and collected texts related to the subject mainly from blogs. Texts from 13,648 posts from November 1st, 2015 to October 31st, 2016 were analyzed by applying the LDA algorithm and content analysis. As a result, the wearing status per season and subjects of men's stripe shirts were derived. Across the entire period, the main topics discussed by users to be pattern, customized suits, brands, coordination and purchase information. In terms of seasons, spring time showed the sharing of information on coordinating daily looks or boyfriend looks, and during the winter season the information shared were about shirts suitable for special occasions such as job interviews and stripe shirts that match suits. The study results showed that text-mining analysis is capable of analyzing the context and provide a user-centered index responding to demands newly mentioned by users along with the rapid changes in fashion design trends.

• 한국식생활문화학회지
• /
• 제27권3호
• /
• pp.274-284
• /
• 2012

This study presents the Analytical Hierarchy Process (AHP) as a potential decision-making method for obtaining the relative weights of alternatives through pairwise comparison in the context of hierarchical structure. The aim of this study was to elicit prior strategies for brand communication for Korean restaurants overseas. We created a questionnaire and surveyed experts at government agencies, restaurant companies, and universities from October to November 2011. By applying the pairwise comparison matrix, relevance was perceived as a more important strategy evaluation criteria than effectiveness or urgency. The highest-ranked strategy was the 'Identification of the BI and positioning of Korean restaurants' followed by 'Development of Korean food content for overseas promotion', 'Development of locally customized Korean food recipes and new Korean menus', 'Development of marketing communication strategies for Korean restaurants by countries', and 'Development of Korean restaurant differentiation strategies'. The results of this study can be used for effective Korean food globalization by enhancing the competitiveness in the world market.

• 한국안전학회지
• /
• 제29권3호
• /
• pp.91-97
• /
• 2014

This study aims to suggest a measure to reduce industrial accident and secure adaptation to the industrial safety regulation policies by empirically establishing the effects of stress from adaptation to the industrial safety regulation on the human error, one of direct causes of industrial accident to the target groups of the industrial safety regulation policies. This study as for content range examines the stress from adaptation to the industrial safety regulation, job satisfaction, human error, and as for spatial range, this study performed an empirical research on the workers of 24 companies located within Chungcheong region centers district among 153 companies nationwide that uses 7 chemicals by introducing PSM (process safety management) system of the Ministry of Employment & Labor as of January 2012. Based on these results and suggestions there are five(5) necessities to reduce industrial safety regulations adaptation stress and human error generation, first(1st) is the necessity of understanding influential factors to stress, second(2nd) is the necessity to customized vocational training, third(3rd) is improving enhance system of job satisfaction, forth(4th) is preparing stress-reduction program, and fifth(5th) is introducing on-site restrictive action of advanced country as politics items.

• 한국의사학회지
• /
• 제25권2호
• /
• pp.97-103
• /
• 2012

Introduction : Sasang Constitutional Medicine (SCM) is one of the most popular specialty in Korean traditional medicine. After Donguisusebowon (東醫壽世保元), the book initiated SCM at first, there have been several books related with SCM. Through this study on Donguisasangsinpyeon (東醫四象新編), we intend to present clinical application of SCM and the spread of its use. Methods and Discussion : Firstly, we will examine the author's life and philosophy, and consider various editions of Donguisasangsinpyeon. And we will attempt content analysis to the preface, foreword, afterword, and main text. Using these methods, we will show that Donguisasangsinpyeon not only succeed the theory of Donguisusebowon faithfully, but also expand the clinical use of SCM. Conclusions : Donguisasangsinpyeon is the first SCM-based clinical book after Donguisusebowon. And the book can also be valued for its adoption of explanatory diagrams that help people select customized prescriptions conveniently and easily.

• 한국멀티미디어학회논문지
• /
• 제22권2호
• /
• pp.260-270
• /
• 2019

As the growth of developing Islamic countries, Muslims are into the world. The most important thing for Muslims to purchase food, ingredient, cosmetics and other products are whether they were certified as 'Halal'. With the increasing number of Muslim tourists and residents in Korea, Halal restaurants and markets are on the rise. However, the service that provides information on Halal restaurants and markets in Korea is very limited. Especially, the application of recommendation system technology is effective to provide Halal restaurant information to users efficiently. The profiling of Halal restaurant information should be preceded by design of recommendation system, and design of recommendation algorithm is most important part in designing recommendation system. In this paper, an Intelligent Recommendation Service system for offering Halal food (IRSH) based on dynamic profiles was proposed. The proposed system recommend a customized Halal restaurant, and proposed recommendation algorithm uses hybrid filtering which is combined by content-based filtering, collaborative filtering and location-based filtering. The proposed algorithm combines several filtering techniques in order to improve the accuracy of recommendation by complementing the various problems of each filtering. The experiment of performance evaluation for comparing with existed restaurant recommendation system was proceeded, and result that proposed IRSH increase recommendation accuracy using Halal contents was deducted.

• International journal of advanced smart convergence
• /
• 제10권4호
• /
• pp.134-140
• /
• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• Journal of Information Science Theory and Practice
• /
• 제6권4호
• /
• pp.54-64
• /
• 2018

This study aims to understand the information needs of Korean immigrant mothers in the United States for their high school children's college preparation. A content analysis was conducted for the messages posted to a "motherhood" forum on the MissyUSA website. In total, 754 posts were analyzed in terms of a child's grade, college preparation stage, type of post, and topic of post. The study found that there is a range of information needed at different stages in a child's education. Many of the demonstrated information needs showed similarities to those of other immigrant groups, but there were also community-specific themes, such as an emphasis on STEM (science, technology, engineering, and math) and standardized tests. The forum was mainly used for factual questions, not emotional support. We concluded that the findings of the study would help researchers in understanding immigrant information needs for the college application process and how information professionals and educators could combine the needs of different ethnic groups to create customized services for them.