• Journal of The Korean Society of Integrative Medicine
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• v.10 no.3
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• pp.27-36
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• 2022

Purpose : This study was aimed to analyze the effects of cosmetics containing Persicaria perfoliata water extract (PPWE) on the skin moisturizing and improvement of skin condition in clinical trials. Methods : Clinical trial was conducted for five weeks after IRB approval at Dong-Eui University. Out of a total of 64 people, 15 people each were assigned to four groups as follows; control group A, B, C and the experimental group A that using cosmetic containing PPWE. Skin condition was measured two times, before and after clinical trial, by a professional skin analyzer, SDM (skin diagnosis system). Moisture and oil value of participants was analyzed twice, each morning and evening, using a portable device on their cheeks. In addition, the survey was investigated subjective satisfaction on change in skin condition and the satisfaction on the use of cosmetics. Result : The experimental group exhibited subjectively significant changes before and after clinical trials on skin its dryness (p=.039), blush (p=.017), and redness (p<.001). In addition, subjective evaluation was also the highest satisfaction in aspects of number of application (p=.003), amount of application (p=.002), moisture maintenance, and skin scratching frequency. The satisfaction on the use of cosmetics was the highest in the intention to repurchase (p=.045), recommendation willingness to others (p=.020), and intention to use various products (p=.001). Skin moisture of the clinical trial participants using the SDM, moisture level and elasticity of the experimental group increased by 12.94 and 10.28. Moisture level, which was measured by a portable device, was the most potently increased in the experimental group. Conclusion : Consequently, PPWE containg cosmetics exhibited the effects of moisturization and attenuated skin dryness in clinical trials, which might be utilized as a fundamental data to develop numerous lines of cosmetics.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.4
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• pp.77-92
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• 2023

The purpose of this study is to investigate the public perception of Gorpcore through Big Aata analytics. The study was conducted based on the collection of Big Data on the word 'Gorpcore' through Textom from July 24, 2017 to March 31, 2023. As a result, 63,386 words were collected from a total of 18,879 posts, and the top 50 words were determined based on frequency of appearance. Based on the collected words, centrality measures and CONCOR algorithm were performed in Ucinet 6. The research results are as follows. 1) The frequency of appearance was high in the order of 'Gorpcore look', 'fashion', 'coordination', 'clothes', 'outdoor', 'Musinsa', 'look', 'trend', 'brand' and 'ahjussi (middle-aged old man in Korean)'. These words had high TF-IDF scores, which leads to the conclusion that these are key words that are recognized as important. 2) Network centrality shows that 'Gorpcore look', 'fashion', 'outdoor', 'coordination', 'clothes', 'trend', 'look' and 'style' have a high correlation with other words. Through this, it was found that the public thinks it is important to create a variety of fashions by styling high-performance outdoor wear and casual wear, and that they are highly interested in clothes and in brands leading the Gorpcore trend. 3) As a result of the CONCOR algorithm, four significant groups were formed. The words that appear in each group are as follows. Group 1 - 'outdoor', 'Gorp', 'Normcore', 'hiking', 'functionality', 'new', 'sports', 'casual wear', 'activity', 'generation', 'collaboration'. Group 2 - 'fashion', 'trend', 'look', 'brand', 'style', 'shoes', 'ugly', 'item', 'trend', 'product', 'Salomon', 'padded jacket', 'stylishness', 'utilization', 'Winter', 'street', 'design', 'retro', 'popular', 'styling'. Group 3 - 'Gorpcore look', 'coordination', 'Musinsa', 'windbreaker', 'recommendation', 'Arcteryx', 'pants', 'man'. Group 4 - 'clothes' 'ahjussi', 'jacket', 'launching', 'spring', 'The North Face', 'collection', 'utility', 'jumper'. As a result, it can be seen that the Gorpcore is also regarded as a part of outdoor, fashion, coordination, and casual wear.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.169-196
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• 2017

The fourth industrial revolution represents a revolutionary change in the business environment and its ecosystem, which is a fusion of Information Technology (IT) and other industries. In line with these recent changes, the Ministry of Employment and Labor of South Korea announced 'the Fourth Industrial Revolution Leader Training Program,' which includes five key support areas such as (1) smart manufacturing, (2) Internet of Things (IoT), (3) big data including Artificial Intelligence (AI), (4) information security, and (5) bio innovation. Based on this program, we can get a glimpse of the South Korean government's efforts and willingness to emit leading human resource with advanced IT knowledge in various fusion technology-related and newly emerging industries. On the other hand, in order to nurture excellent IT manpower in preparation for the fourth industrial revolution, the role of educational institutions capable of providing high quality IT education services is most of importance. However, these days, most IT educational institutions have had difficulties in providing customized IT education services that meet the needs of consumers (i.e., learners), without breaking away from the traditional framework of providing supplier-oriented education services. From previous studies, it has been found that the provision of customized education services centered on learners leads to high satisfaction of learners, and that higher satisfaction increases not only task performance and the possibility of business application but also learners' recommendation intention. However, since research has not yet been conducted in a comprehensive way that consider both antecedent and consequent factors of the learner's satisfaction, more empirical research on this is highly desirable. With the advent of the fourth industrial revolution, a rising interest in various convergence technologies utilizing information technology (IT) has brought with the growing realization of the important role played by IT-related education services. However, research on the role of IT education service quality in the context of IT education is relatively scarce in spite of the fact that research on general education service quality and satisfaction has been actively conducted in various contexts. In this study, therefore, the five dimensions of IT education service quality (i.e., tangibles, reliability, responsiveness, assurance, and empathy) are derived from the context of IT education, based on the SERVPERF model and related previous studies. In addition, the effects of these detailed IT education service quality factors on learners' educational satisfaction and their work application/recommendation intentions are examined. Furthermore, the moderating roles of learner position (i.e., practitioner group vs. manager group) and participation motivation (i.e., voluntary participation vs. involuntary participation) in relationships between IT education service quality factors and learners' educational satisfaction, work application intention, and recommendation intention are also investigated. In an analysis using the structural equation model (SEM) technique based on a questionnaire given to 203 participants of IT education programs in an 'M' IT educational institution in Seoul, South Korea, tangibles, reliability, and assurance were found to have a significant effect on educational satisfaction. This educational satisfaction was found to have a significant effect on both work application intention and recommendation intention. Moreover, it was discovered that learner position and participation motivation have a partial moderating impact on the relationship between IT education service quality factors and educational satisfaction. This study holds academic implications in that it is one of the first studies to apply the SERVPERF model (rather than the SERVQUAL model, which has been widely adopted by prior studies) is to demonstrate the influence of IT education service quality on learners' educational satisfaction, work application intention, and recommendation intention in an IT education environment. The results of this study are expected to provide practical guidance for IT education service providers who wish to enhance learners' educational satisfaction and service management efficiency.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.66-73
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• 2007

Internet is a part of our common life and tremendous information is cumulated. In these trends, the personalization becomes a very important technology which could find exact information to present users. Previous personalized services use content based filtering which is able to recommend by analyzing the content and collaborative filtering which is able to recommend contents according to preference of users group. But, collaborative filtering needs the evaluation of some amount of data. Also, It cannot reflect all data of users because it recommends items based on data of some users who have similar inclination. Therefore, we need a new recommendation method which can recommend prefer items without preference data of users. In this paper, we proposed the apparel coordination system using personalized preference on the semantic web. This paper provides the results which this system can reduce the searching time and advance the customer satisfaction measurement according to user's feedback to system.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.1-8
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• 2007

In electronic commerce, it is important for users to recommend the proper item among large item sets with saving time and effort. Therefore, if the recommendation system can be recommended the suitable item, we will gain a good satisfaction to the user. In this paper, we proposed the associative relation clustering split method in the collaborative filtering in order to perform the accuracy and the scalability. We produce the lift between associative items using the ratings data. and then split the node group that consists of the item to improve an efficiency of the associative relation cluster. This method differs the association about the items of groups. If the association of groups is filled, the reminding items combine. To estimate the performance, the suggested method is compared with the K-means and EM in the MovieLens data set.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.4
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• pp.409-418
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• 2017

Purpose: Ineffective communication between healthcare professionals leads to medical errors and puts patients at risk of harm. The aim of this study was to examine the effects of interdisciplinary communication training in simulated settings on self-confidence in communication, observed communication behavior, and technical skill performances of nursing students. Methods: A repeated measures design with one group was conducted. Data was collected from 92 nursing students through a self-administered questionnaire and an observed behavior checklist. Data analysis was performed using descriptive statistics, a paired t-test, the Wilcoxon signed rank test, the Friedmann test, a Repeated Measures ANOVA, and the Spearman correlation coefficient. Results: Self-confidence in communication, observed Identification-Situation-Background-Assessment-Recommendation-Read Back communication behavior, and technical skill performances of nursing students were significantly improved. In observed communication behavior, the performance of Assessment and Read Back communication significantly improved. However, communication of Background, Assessment, and Recommendation did not improve to a satisfactory level. Observed communication behavior was not correlated with the overall technical skill performance. Conclusion: These results indicate that interdisciplinary communication training in simulated settings was effective in improving nursing students' confidence and communication skills with physicians. Longitudinal studies with larger samples are recommended in order to verify the effects of interdisciplinary communication training on clinical outcomes as well as communication competence.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.117-127
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• 2019

This study was done to analyze the relationship among the characteristic elements for a evaluation factor(design, function, quality, price, conveniency, personnel factor), the evaluation factor satisfaction, repurchase intention and recommend intention that the China cellular phone users perceived by group. The survey was divided into "design, function, quality, price, conveniency, personnel factor, repurchase intention and recommend intention". As a study result, every characteristic elements for a evaluation factor excepting price had an effect on independent variables such as design, function, quality, conveniency, personnel factor satisfaction. And all evaluation factors had an effect on repurchase and recommend intention. In conclusion, in order to increase the repurchase and recommend intention in China cellular phone market it would be necessary to improve the characteristic elements satisfaction for design, function and personnel factor. And after the design, function and personnel factor satisfaction were improved, we could improve the repurchase and recommend intention.

• Journal of Gifted/Talented Education
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• v.22 no.2
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• pp.353-370
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• 2012

The observation and recommendation system was recently introduced for selecting gifted-students in science, and it has required to arrange the reliable and valid selection criteria that could identify the high potential competency of them. In this study, we explored the competencies that could help to discriminate gifted-students' inner properties, and also developed the dictionary based on them. The competencies were extracted from the proven previous competency dictionaries/models and examined by the structured survey and the focus group interview in order to ascertain the competencies of the science-gifted students. The results revealed that there were two competency clusters such as cognitive and affective domains. The cognitive cluster consisted of 6 competencies as follows: goal suggestion, planning, information collection and analysis, problem solving, higher-order thinking, and expertise and self-development competency. The affective cluster consisted of 3 competencies: confidence, achievement orientation, and curiosity competency. The dictionary categorized by the names, definitions, key elements, and behavioral indicators and their levels of the derived competencies was developed. Findings were expected to provide the implications on the selection criteria of the potential science-gifted students through the observation and recommendation system.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.307-314
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• 2021

This study was to analyze the satisfaction and intention to recommend a hospital for spinal and joint patients. Using a structured questionnaire at a spinal and joint hospital in Seoul in 2019, and the relationship between demographic and social characteristics and patient satisfaction, factors influencing hospital satisfaction, and recommendation intention were analyzed. In outpatients, hospital satisfaction was higher in neatness and cleanliness of staff, kindness and facility environment comfort, and hospital satisfaction was low in questions related to waiting time. In inpatients, women's satisfaction was higher in the nursing and hospital environment areas. The correlation analysis between the satisfaction and the willing to recommend, there was a positive correlation. In the sub-analysis, hospital satisfaction was higher in the group that responded with respect and courtesy, listening, satisfaction of the nurse, hospital cleanliness and safety. This study is can be used to improve the quality of hospital care services in related hospitals.

• The Korean Journal of Applied Statistics
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• v.33 no.6
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• pp.833-842
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• 2020

Global platforms such as Netflix, Amazon, and YouTube have developed a precise recommendation system based on various information from large set of customers and many of the items recommended here are leading to actual purchases. In this paper, a cluster analysis was conducted according to the attribute of the content, expecting that there would be a difference in user preferences according to the attribute of the recommended content. Gower distance was used for use regardless of the type of variables. In this paper, using the data of movie rating site 'The Movie Dataset', the users were grouped hierarchically and recommended movies based on genre, director and actor variables. To evaluate the recommended systems proposed, user group was divided into train set and test set to examine the precision. The results showed that proposed algorithms have far higher precision than UBCF.