• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.629-632
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• 2022

Education for sustainable development is an education that helps learners of all ages acquire the knowledge, skills, and attitudes necessary to solve interconnected international challenges such as climate change and environmental problems.It is an integral component of the Sustainable Development Goals (SDGs) #4 and contributes to the 17 SDGs. In order to find out the trend of ESD, 2718 news data from January 1, 2000 to December 31, 2021 were collected through 26 media outlets.As key keywords, international organizations leading sustainable development education such as the UN and UNESCO, local governments including Dobong-gu, and major issues such as climate change and ecological change could be identified. This can be used as basic data for various studies as it can explore trends for ESD.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.73-86
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• 2023

The purpose of this study is to prepare basic data that can be applied to the development of personalized programs in which chronic patients can actively participate in health care on their own, by analyzing the relationship between health literacy, level of metal health, and level of life health of patients with chronic diseases. For the study, the Korean Medical Panel's annual data(Version 2.1) was used, and 4,095 people aged 19 or older with chronic diseases and without disabilities were extracted, and frequency analysis, t-test, ANOVA, and chi-squared goodness of fit test, etc. were performed with IBM SPSS Statistics 26.0. As a result, it was found that the higher health literacy, the higher level of mental health and level of life health. In addition, the distribution between health literacy, level of mental health, and level of life health was found to be different from each other. Respondents with higher ability to health literacy tend to evaluate level of metal health and life health lower, and the rate of change in this trend was relatively higher than the rate of change in the tendency to evaluate level of mental health and life health higher in respondents with lower ability to health literacy.

• Journal of Digital Contents Society
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• v.17 no.1
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• pp.1-10
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• 2016

< My Little Television > with the new format which extends one person media broadcasting to terrestrial broadcasting is creating a huge Topic Index. It started the first broadcast on April 2015 and has continued the number one in viewer rating in the same time. While viewers directly participate in the program through the Daum TV Pod and a host communicates with viewers in a real time, various opinions are being reflected on the program. While a lot of information about the program has spread through SNS, it has led to raising the viewer rating of program. Recently, the Topic Index on the program has been published through the big data analysis rather than the program evaluation only by the viewer rating. The research on the correlation between the program viewer rating and amount of buzz has increased. In this study, it has analyzed how the Topic Index which is an extended concept of the amount of buzz affects the viewer rating. Study results show that the Topic Index is analyzed to positively influence the viewer rating. It will give a lot of help in studying big data of SNS on the program.

• Management & Information Systems Review
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• v.31 no.4
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• pp.397-432
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• 2012

The purpose of this study is Big Five personality factors of personality type on career behavior, that is, entry to the unsafe first job in Korean university students. To accomplish this research objective, this study collected data from 500 students in three universities and two colleges located in the Chungcheong region. Among 350 questionnaires, 342 copies were used for a final analysis. In order to analyze the survey data, statistical package program SPSS/WIN 18.0 was utilized and statistical techniques such as basic statistical analysis, factor analysis, Cronbach's alpha, correlation analysis, and multiple regression analysis were used. The results obtained in this study can be summarized as follows. The extraversion personality and agreeableness personality of college students has a significant effect on the entry to the unsafe first job in the positive direction. On the other hand, the neurotic personality and openness to experience has a significant effect on the entry to the unsafe first job in the negative direction. However, the integrity personality of college students was not statistically significant. Finally, based on the empirical results we suggested several theoretical and practical implications.

• Journal of Korean Society of Forest Science
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• v.108 no.1
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• pp.116-126
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• 2019

The production volume and amount of non-timber forest products in Korea has been on the increase for the past five years. In particular, the production amount of wild vegetables (edible mountain plants) is approximately KRW 400 billion as of 2017, accounting for 14 % of the total production amount of non-timber forest products. Among wild vegetables, especially the production volumes and amounts of bracken, saw-wort (Saussurea), and thistle have grown steadily. Nevertheless, severe price competition with cheap imports and little changes in the pattern of wild vegetable consumption may negatively affect the prices of domestic wild vegetables. This, in turn, can decrease the overall consumption of wild vegetables. Recently, however, consumers have preferred healthy food with increases in their income and interest in health. Therefore, now is a crucial time for the wild vegetable market. Accordingly, this study analyzed consumers' purchase and consumption behavior related to wild vegetables through a consumer survey to contribute to establishing various strategies and policies for promoting the consumption of these vegetables. Also, this study identified consumers' awareness and intention regarding wild vegetables by analyzing social big data. Different from previous studies, this study investigated consumers' awareness and intention by analyzing SNS social big data, as well as conducting a survey. The results of the study will help prioritize strategies and policies for boosting the consumption of wild vegetables.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.105-112
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• 2021

In the era of big data, interest in data is exploding. In particular, the development of the Internet and social media has led to the creation of new data, enabling the realization of the era of big data and artificial intelligence and opening a new chapter in convergence technology. Also, in the past, there are many demands for analysis of data that could not be handled by programs. In this paper, an analysis model was designed and verified for classification of unstructured data, which is often required in the era of big data. Data crawled DBPia's thesis summary, main words, and sub-keyword, and created a database using KoNLP's data dictionary, and tokenized words through morpheme analysis. In addition, nouns were extracted using KAIST's 9 part-of-speech classification system, TF-IDF values were generated, and an analysis dataset was created by combining training data and Y values. Finally, The adequacy of classification was measured by applying three analysis algorithms(random forest, SVM, decision tree) to the generated analysis dataset. The classification model technique proposed in this paper can be usefully used in various fields such as civil complaint classification analysis and text-related analysis in addition to thesis classification.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.67-72
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• 2019

Animation is a comprehensive audio-visual art, animation literature, painting, music, architecture, photography and other art forms are integrated. China's animation industry has made some achievements in the new century, but on the whole, with the globalization of China, China's animation industry has been influenced by Japan and the United States. China has a history and culture of five thousand years, with profound social deposits and cultural foundation. Of the four ancient civilizations in the world, the Chinese civilization is the only one that has survived. China has too many stories to tell. From the development history of Chinese and foreign animation, we can see that many Chinese traditional cultural elements are used for reference. Since the 1980s, Chinese animation has been on the road of national revival. Chinese animation has begun to draw close to traditional culture in terms of themes, characters and scenes, and integrate Chinese traditional cultural elements. The theme of big fish and begonia is to repay kindness by sacrificing one's own life for the sake of justice and friendship. This fearless spirit of sacrificing one's life for justice is the concentrated embodiment of the fine qualities of the Chinese nation over the past several thousand years. Kun to save chun and give up his life, chun in order to repay rather give up half of his life, and qiushui in order to help their beloved, also would rather give up all of their own. These three protagonists are very distinctive personality characteristics, are to "righteousness" and give up their most precious things. At the same time, big fish and begonia combines many traditional Chinese cultural elements to form an animated film with Chinese characteristics.

• World Technopolis Review
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• v.6 no.2
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• pp.90-101
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• 2017

This paper defines the role of the Science Park and makes policy recommendations for the "Era of $4^{th}$ Industrial Revolution" from a Triple Helix viewpoint. The role of traditional science parks, and theory of Triple Helix and the $4^{th}$ Industrial Revolution are reviewed, and strategies to cope with the $4^{th}$ Industrial Revolution in a few advanced countries are analyzed. This paper finishes by suggesting strategies such as acceleration of networking, education to foster creative and innovative manpower and initiating capacity building projects for the advancement of Science Parks in the $4^{th}$ Industrial Revolution.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.169-178
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• 2020

The reductions of troops/human resources, and improvement in combat power have made Korean Department of Defense actively adapt 4th Industrial Revolution technology (Artificial Intelligence, Big Data). The defense information system has been developed in various ways according to the task and the uniqueness of each military. In order to take full advantage of the 4th Industrial Revolution technology, it is necessary to improve the closed defense datamanagement system.However, the establishment and usage of data standards in all information systems for the utilization of defense big data and artificial intelligence has limitations due to security issues, business characteristics of each military, anddifficulty in standardizing large-scale systems. Based on the interworking requirements of each system, data sharing is limited through direct linkage through interoperability agreement between systems. In order to implement smart defense using the 4th Industrial Revolution technology, it is urgent to prepare a system that can share defense data and make good use of it. To technically support the defense, it is critical to develop Multi Repository Meta-Data Management (MRMM) that supports systematic standard management of defense data that manages enterprise standard and standard mapping for each system and promotes data interoperability through linkage between standards which obeys the Defense Interoperability Management Development Guidelines. We introduced MRMM, and implemented by using vocabulary similarity using machine learning and statistical approach. Based on MRMM, We expect to simplify the standardization integration of all military databases using artificial intelligence and bigdata. This will lead to huge reduction of defense budget while increasing combat power for implementing smart defense.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.95-103
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• 2022

Recently, the fourth industrial revolution has a great influence on the development of many industries as well as the construction industry. Various technologies related to the industrial revolution 4.0, such as AI and big data, have gained much attention. However, little has been known about the importance and preparedness of stakeholders of the construction industry in Korea for the industry 4.0 technologies so far. This study revealed how the stakeholders perceive and prepare for industry 4.0 using a survey. In addition, collaboration potential score for each technology was calculated to find technologies with high potential for collaboration. Result is that the importance of the technologies was evaluated high in overall, but the preparedness and implementation in university education or business was evaluated low. Technologies with high potential for industry-university collaboration are AI/big data and 3D printing/3D scanning. This study can contribute to the training of industry 4.0 experts and improving preparedness, which would enable the innovation and application of industry 4.0 technologies in the construction industry.