• Food Science and Industry
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• v.53 no.2
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• pp.235-247
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• 2020

Current status of the domestic food industry and major issues are reviewed, and some problems derived from the R&D aspect are analyzed. Particularly, the role of the public sector and the direction of R&D are presented in order to enhance the vitality of the food industry and strengthen the competitiveness of small and medium-sized businesses. At first, the government needs to provide a consistent R&D roadmap through macroscopic coordination, and public institutes and private companies should come up with practical and concrete collaborative measures. It is also necessary to set the investment direction for food R&D in the public sector, taking into account the strategic importance of core technology and the global level difference, targeting on basic research and public platform technology. More efforts to discover agendas focused on food technology and link them to large-scale R&D projects are urgently needed to solve national and social problems through food research.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.349-354
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• 2021

The purpose of the project is to study the factors affecting the new user experience and satisfaction as the concert market of K-POP is moved to the online stage by the Corona 19. The study conducted a survey and in-depth interviews with men and women in their 20s and 30s who participated in the K-POP online concert, consisting of proposed by Stephen P. Anderson. The study found that participants' propensity, concert composition, platform-supported technology, and quality factors affect user experience satisfaction. It was also noticed that while the grafting of new technology did not have a significant effect on the part of Pleasurable, the satisfaction level was significantly reduced if the quality was poor. Hopefully, this study becomes a reference to the future direction of online concert development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.490-496
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• 2017

This study targeted college students to determine the moderating effect of immersion in the relationship among stress, satisfaction with life, and satisfaction with college life. To this end, the level of stress, satisfaction with life, satisfaction with college life, and immersion were measured in353 students attending S University. First of all, correlation analysis showed that stress had a negative correlation with immersion, satisfaction with life, and satisfaction with college life and immersion had a positive correlation with satisfaction with life and satisfaction with college life. Hierarchical regression analysis was conducted to determine the moderating effects of immersion in the relationship among stress, satisfaction with life, and satisfaction with college life. The results showed that immersion had a moderating effect on the relationship between stress and satisfaction with life, while immersion did not have a mitigating effect on the relationship between stress and satisfaction with college life. Based on these findings, this paper suggests raising the ability of immersion as a measure of intervention in handling the stress of college students and discusses the significance and limitations of this study.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.738-766
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• 2018

The purpose of this paper is to figures out the impact on the business performance based on the case studies about the establishment of automated smart factories supported by the government. In this study, the effectiveness of supporting business is verified by comparing supported company with non-supported ones using methods such as T-test and ANOVA. The PSM method was used to solve the selection bias issue between the experimental group and the controlled group. The research results have shown that the effect of the supporting business to the automated system was tenuous, and the amount of sales and research and development costs was increased after a certain schedule passed in case of the supporting project to the smart factory. There is some time lag to appear the effect of the government supporting businesses and the supporting business to the automated system leads to long term sales increase by increasing parameters like research and development costs rather than direct influence. Therefore, this research will be useful information for the process of establishing useful basic data and policies which helps to secure new budget Government Supporting Businesses and find ways improve the business.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.219-227
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• 2017

The purpose of this study is to verify the mediating effects of self-efficacy in correlation between conscientiousness and neuroticism among the Big Five personality traits and stress coping strategies. The following two study questions were formulated. Study Question 1: What is the correlation between the Big Five personality traits, stress coping strategies, and self-efficacy Study Question 2: Among the Big Five personality traits, conscientiousness and neuroticism are selected as clinically very meaningful variables that represent mental health in undergraduates. If so, does self-efficacy play a mediating role in the correlation between conscientiousness and neuroticism and stress coping strategies To verify the two study questions, the Big Five personality traits, stress coping strategies scale, and self-efficacy scale were measured for a sample of 462 freshmen attending D University located in Chungcheong. First, according to the results of correlation analysis, neuroticism and self-efficacy showed a negative correlation, and conscientiousness showed a positive correlation. Regarding the Big Five personality traits and stress coping strategies, conscientiousness showed a negative correlation with avoidance-orientation among stress coping strategies. Neuroticism showed a negative correlation with social support and problem solving-orientation among stress coping strategies. Second, according to the results of analyzing the mediating effects of self-efficacy through hierarchical regression analysis, self-efficacy exerted partial mediating effects only in correlation between neuroticism and avoidance-orientation. This study is significant in its anticipation of undergraduates' stress coping, personality factors can be usefully employed as psychological constructs, and particularly, when an undergraduate reveals the neuroticism factor, which is one of the predictors for mental health, and the tendencies of avoidance among stress coping strategies, educational interventions for self-efficacy are needed to reduce their mental stress.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.7
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• pp.193-201
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• 2017

The purpose of this study is to examine the effect of creativity education on creativity of college students through educational medium such as film, animation, documentary, cartoon, advertisement, etc. Therefore, D university in Busan Metropolitan City held a 15-week creativity program for team college students in the second semester of 2016 "creative convergence". In this study, the data collected by the pre - test and post - test using the creativity questionnaire were analyzed by SPSS 18.0 program. The results of this study are as follows. First, the creativity of college students showed a significant difference in problem solving ability scores in the curriculum for media literacy. Second, the creativity of university students showed a significant difference in creative tendency score in media literacy curriculum. The fact that various media such as movies, animations, documentaries, cartoons, advertisements, etc. are educational media that can be easily accessed in everyday life, suggests that the improvement of creativity suggests educational effects to college students and future students.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1149-1158
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• 2004

Today the fastest growing communities of web users are mobile visitors who browse web page with wireless PDAs and cellular phones. However, most web pages are optimiaed exclusively for desktop clients on the broadband network and are inconvenient to users with small screen mobile devices. They display only a few lines of text and cannot run client-side programs or scripts due to lack of system resource. Even worse, their connections are usually slow to support most of the data-intensive applications. In this paper, we propose a pageslet scheme that makes it feasible to browse ordinary web pages on small screen mobile devices. It extracts broadcasting sections of user preference from broadcasting web pages and automatically reorganizes the extracted sections for convenient browsing on mobile devices.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1332-1344
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• 2004

Upon development of information super-highway and multimedia-related technoiogies in recent years, more efficient technologies to transmit, store and retrieve the multimedia data are required. Among such technologies, firstly, it is common that the semantic-based image retrieval is annotated separately in order to give certain meanings to the image data and the low-level property information that include information about color, texture, and shape Despite the fact that the semantic-based information retrieval has been made by utilizing such vocabulary dictionary as the key words that given, however it brings about a problem that has not yet freed from the limit of the existing keyword-based text information retrieval. The second problem is that it reveals a decreased retrieval performance in the content-based image retrieval system, and is difficult to separate the object from the image that has complex background, and also is difficult to extract an area due to excessive division of those regions. Further, it is difficult to separate the objects from the image that possesses multiple objects in complex scene. To solve the problems, in this paper, I established a content-based retrieval system that can be processed in 5 different steps. The most critical process of those 5 steps is that among RGB images, the one that has the largest and the smallest background are to be extracted. Particularly. I propose the method that extracts the subject as well as the background by using an Image, which has the largest background. Also, to solve the second problem, I propose the method in which multiple objects are separated using RGB channel selection techniques having optimized the excessive division of area by utilizing Watermerge's threshold value with the object separation using the method of RGB channels separation. The tests proved that the methods proposed by me were superior to the existing methods in terms of retrieval performances insomuch as to replace those methods that developed for the purpose of retrieving those complex objects that used to be difficult to retrieve up until now.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.509-525
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• 2017

This study analyzed a unique method of problem-handling, attitudes, and specific interest propensity in the career path of the type with inconsistency in the relative distance between personality type in Holland's hexagonal model. In-depth interviews and theme analysis with six clients who showed inconsistent personality type were conducted. These six were selected from 87 participants that had received training at the Korea Vocational Counselling Association, Korea Training Institute for Self-Sufficiency and Korea Employment Agency for the Disabled. From the analysis, the six clients with inconsistent 3 Codes showed four characteristics - more than three career experience, various interest pursuits, career involvement, and career identity. They were affected in their vocational behavior by their own Holland 3 Codes and showed vocational behavior very different from Holland's theory of person-environment fit approach. They showed positive, ambivalent and chaotic types on career identity. Furthermore, Conventional(C)-Investigative(I)-Social(S) 3 Codes type and Artistic(A)-Enterprising(E)-Realistic(R) 3 Codes type in the same inconsistent personality type showed different vocational behaviors in career path development, which relates to the meaning of Holland's 3 Codes. The significance of this research lies in its provision of various points for improving career counselling.