• Journal of Digital Convergence
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• v.16 no.12
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• pp.257-266
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• 2018

The implication of this study is that the development and market participation of the next generation eco - friendly vehicles is accelerating, and consumers 'interest is increasing. Also, the product attributes of environment - friendly vehicles and the government's policy support for the next generation eco - friendly vehicles. The purpose of this study is to investigate the effect of purchasing behavior of eco-friendly vehicles on the product attributes of eco-friendly vehicles. Economic, image, functionality, and service convenience have positive effects on consumers' purchase intention. As a result of examining the moderating effect of the government support policy between the product attributes of environment - friendly vehicles and the purchase intentions of environment - friendly vehicles, the government or municipal government has no control effect such as vehicle price subsidy, vehicle tax subsidy, Carbon tax support to prevent emissions was found to have a moderating effect of supporting 10,000 won per ton, even if 5,000 won per ton was supported. This suggests that consumers who prefer to buy eco-friendly vehicles are more likely to have environmental factors.

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.189-206
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• 2018

As the era of $4^{th}$ Industrial Revolution has arrived, education systems are changing in order to prepare for the changes on technological environment. Recently in the education field, flipped learning, which focus on learner-centered with an active communication is suggested, rather than the existing teaching method, which had the characteristic of simply delivering a knowledge. In this research, case study of analyzing a learning effect done by applying a flipped learning on the study of Industrial Security which has the characteristics of timeliness and can accordingly reflect the characteristics of $4^{th}$ Industrial Revolution. In detail, the concept of the study of Industrial Security and flipped learning was arranged, analyzed a current state of education on the study of Industrial Security and exemplary of flipped learning applied class and designed the methodology of flipped learning of this research. Nextly, designed flipped learning method was applied in the actual class of the study of Industrial Security. Lastly, survey and interview was conducted targeting a learner and deducted an implications. The results of survey showed that class participation has increased through active interactions between learners, and flexible learning environments was created which is appropriate for the characteristics of industrial security, which is in need of timeliness response against to diverse security threats of $4^{th}$ Industrial Revolution, and regarded a flipped learning to be appropriate for the study of Industrial security.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.107-117
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• 2019

In the era of SNS, many people relies on it to express their emotions about various kinds of products and services. Therefore, for the companies eagerly seeking to investigate how their products and services are perceived in the market, emotion mining tasks using dataset from SNSs become important much more than ever. Basically, emotion mining is a branch of sentiment analysis which is based on BOW (bag-of-words) and TF-IDF. However, there are few studies on the emotion mining which adopt feature selection (FS) methods to look for optimal set of features ensuring better results. In this sense, this study aims to propose FS methods to conduct emotion mining tasks more effectively with better outcomes. This study uses Twitter and SemEval2007 dataset for the sake of emotion mining experiments. We applied three FS methods such as CFS (Correlation based FS), IG (Information Gain), and ReliefF. Emotion mining results were obtained from applying the selected features to nine classifiers. When applying DT (decision tree) to Tweet dataset, accuracy increases with CFS, IG, and ReliefF methods. When applying LR (logistic regression) to SemEval2007 dataset, accuracy increases with ReliefF method.

• Journal of Service Research and Studies
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• v.8 no.3
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• pp.51-62
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• 2018

This study examines several evolutionary and alternative aspects of the system of existing education and suggests a more specific approach to the development of recent education that has evolved to the recent service economy era and a new approach to the human capacity of the World Economic Forum (WEF). We propose a stage of education system. We will change the meaning and choice of the job according to the rapid development of the 4th Industrial Revolution. Future occupational education also needs to be changed according to the expectation that job movement will happen frequently. The new education requires a model to prepare for the phenomenon of various convergence as technology collapses with the existing culture. And a higher-level educational philosophy is needed for human competence and the environment to actually connect industrial and social issues. The purpose of this study is to show the necessity of introduction of New Service Learning as a new system of education for super mobility. New Service Learning can be divided into five concepts: Innovation, Modernity, Sustainability, Humanity, and Technology. In future research, it is necessary to complement the research by empirically analyzing the concept of New Service Learning.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.213-218
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• 2018

Recent Korean policies have been suggested as globalization, openness and expansion of the working world through k-move. In an era of communication, interest and expectations for overseas employment and advancement into the country are increasing as a way to solve the global trend of employment abroad. Until recently, overseas employment support systems and policies have been implemented in a variety of ways through collaboration with universities and government agencies, so this paper will study Australia's national support and vocational education systems, for example, and Australia's foreign employment conditions and the overall system. This will help overseas employers and policy makers understand the status quo and will be meaningful as additional data needed by Korean universities and policy agencies. On the basis of these data, it was proposed as a conclusion on how to supplement the policy. Through the text, we aim to help establish practical goals and solutions that will help job applicants from overseas Australia, government and university policy systems. Accordingly, the main body presented the policies and assessment methods of the Australian vocational system, the overseas job support system, the corresponding service support system, and the overseas conditions and information on the program, and, in conclusion, the implications of policy supplementation.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.123-130
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• 2019

The advent of the full-fledged Internet of Things era will bring together various types of information through Internet of Things devices, and the vast amount of information collected will be generated as new information by the analysis process. To effectively store this generated information, a flexible and scalable cloud computing system is advantageous. Therefore, the main determinants for effective client system acceptance are viewed as motivator factor (economics, efficiency, etc.) and hindrance factor (transitional costs, security issues, etc.) and the purpose of this study is to determine which detailed factors play a major role in making new system acceptance decisions around harm. The factors required to determine the major priorities are defined as the system acceptance determinants from the technical point of view obtained through the literature review, and the questionnaire is prepared based on the factors derived, and the survey is conducted on the experts concerned. In addition, the AHP analysis aims to achieve a final priority by performing a bifurcation between components for measuring a decision unit. Furthermore, the results of this study will serve as an important basis for making decisions based on acceptance (enabling) of technology.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.321-327
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• 2019

This study aims to investigate the transition of the game rating system in Korea and to search for problems and improvement measures in the era of IARC game grade review. IARC(International Age Rating Coalition) is an International Classification Alliance, with 37 member organizations from 6 countries. In addition, IARC grants participating store-fronts autonomy to review game ratings. The method of deliberating games in Korea is proceeding with direct review by rating system and deliberation by IARC's own classification system. The problem of the rating system of the game is that the civilian becomes the subject, it relies on the questionnaire, and its side effects are caused by its own classification system. IARC guidelines can be developed to improve the game rating system, education on penalties and ratings for game developers, and management of participating front-stores. In conclusion, it may be dangerous to delegate rating authority to open market, and it is necessary to construct a discussion forum for ratings, including government and industry, game developers, users, and parents of under-age gamers. It is necessary to create a rating system for the game environment in Korea.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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• pp.63-83
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• 2021

The appearance of education is also rapidly changing in social changes represented by social networks. And the development of information and communication technology is also having a widespread effect on the education field. In the era of untact caused by Covid-19, education through smart learning is having a greater effect on students as well as adult learners more quickly and broadly. In addition, smart learning is not just limited to learning content, but is developing into personalized, convergence, and intelligent. The purpose of this study is to identify the factors of ARCS motivation theory that can determine the learning motivation of smart learning users, and to empirically study the casual relationship between these factors on education achievement through practical value and hedonic value. Specifically, I would like to examine how the independent variables ARCS motivation factors (attention, relevance, confidence, and satisfaction) affect learners' education achievement through the parameters of practical value and hedonic value. To this end, a research model was presented that applied the main variables of attention, relevance, confidence, and satisfaction, which are four elements of ARCS motivation theory, a specific and systematic motivational strategy to induce and maintain learners' motivation. In order to empirically verify the research model of this study, a survey was carried out on learners with experience using smart learning. As a result of the study, first attention was found to have a positive effect on the hedonic value. Second, relevance was found to have a positive effect on the hedonic value. Third, it was found that confidence did not have a positive effect on the practical value and the hedonic value. Forth, satisfaction was found to have a positive effect on the practical value and the hedonic value. Fifth, practical value was found to have a positive effect on the education achievement. Sixth, hedonic value was found to have a positive effect on the education achievement. Through this, it can be seen that the intrinsic motivation of learners using smart learning affects the education achievement of users through intrinsic and extrinsic value. A variety of smart learning that combines advanced IT technologies such as AI and big data can contribute to improving learners' education achievement more effectively and efficiently. Furthermore, it can contribute a lot to social development.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.23-30
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• 2021

The shift to the digital media era is increasing the importance of the ability to accept, produce and share news through digital media(news literacy), but there is a lack of diagnosis of the level of news literacy among Korean adults and discussions on how to improve news literacy. This study analyzed the news literacy level of Korean adults according to background variables (urbanization degree, gender, age, academic background) and examined the relationship between the amount of news literacy-related practices and the level of news literacy. The results showed that the overall level of news literacy among adults in Korea was not high and that differences between groups were also statistically significant. The significant relevance between the amount of news literacy-related practices and the level of news literacy has also been identified. Based on the findings, it was suggested that the need for policy support to improve news literacy among Korean adults, the need to prioritize the resources of news literacy education according to background variables of adult learners, and the need to continuously monitor news literacy levels of Korean adults.

• Journal of Cadastre & Land InformatiX
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• v.51 no.1
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• pp.111-124
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• 2021

Recently, Interest in the restoration and 3D reconstruction of cultural properties due to the fire of Notre Dame Cathedral on April 15, 2019 has been focused once again after the 2008 Sungnyemun fire incident in South Korea. In particular, research to restore and reconstruct the actual measurement of cultural properties using LiDAR(Light Detection and ranging) and conventional surveying, which were previously used, using various 3D reconstruction technologies, is being actively conducted. This study acquires data using unmanned aerial imagery of UAV(Unmanned Aerial Vehicle), which has recently established itself as a core technology in the era of the 4th industrial revolution, and the existing CRP(Closed Range Photogrammetry) and terrestrial LiDAR scanning for the Recumbent Buddha of Unju Temple. Then, the 3D reconstruction was performed with three fusion models based on SfM(Structure-from-Motion), and the reproducibility and accuracy of the models were compared and analyzed. In addition, using the best fusion model among the three models, the relationship with the Polar Star(Polaris) was confirmed based on the real world coordinates of the Recumbent Buddha, which contains the astronomical history of Buddhism in the early 11th century Goryeo Dynasty. Through this study, not only the simple external 3D reconstruction of cultural properties, but also the method of reconstructing the historical evidence according to the type and shape of the cultural properties was sought by confirming the historical evidence of the cultural properties in terms of spatial information.