• Journal of Digital Convergence
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• v.16 no.5
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• pp.385-390
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• 2018

This study categorizes cases of industry-wide collaboration works, which is getting more actively conducted in a various forms and purposes for forming fixed brand identity and reinforcing brand identity, by analyzing its characteristics, and suggests new categorization in brand marketing perspective with diverse cases. Furthermore, the concept of collaboration in $4^{th}$ industrial revolution, so-called ICT, IOT, is studied for seeking developmental direction of collaboration which is being. As a result, approaches about application methods of and categorizing methods of collaboration in the aspect of design and branding were seeked. Based on this research, it is expected to be used as a reference for branding and marketing approach to domestic collaboration works, and it is also hoped to help following researches on guide line and following researches on collaboration.

• The Journal of Korean Association of Computer Education
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• v.21 no.1
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• pp.11-21
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• 2018

Given the background of so-called 'the 4th industrial revolution', universities practice computing education for non-majors to equip them with computational thinking(CT). Universities apply different courses but researches analyzing effectiveness of the courses based on CT are limited. This research is conducted to understand a computing course for non-majors is effective in terms of CT. A CT based evaluation framework is designed referring to AP Computer Science Principles. Questionnaires are developed based on the framework and applied to the course participants. As results, students' post scores are significantly higher than pre scores. In addition, there are significant differences in pre-test scores by major category while there is no difference in post-test. Humanity & social science group showed the largest difference between pre and post results with science & engineering and computer in order. In sum, it is found that this course is effective to facilitate students abilities in terms of CT, particularly for the non-computer majors.

• Journal of Technology Innovation
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• v.26 no.3
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• pp.1-36
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• 2018

In the era of the 4th Industrial Revolution, it is important for companies to understand the changing environment by converging various technologies and to respond to the changing business environment. In this study, we conducted a social network analysis on 10 firms in the automotive industry, which have recently been accelerating their competition for technology development, by extracting convergence patents co-classified in two or more of the US registered patents in the last 6 years. As a result, it has been confirmed that the number of technology related to the convergence of the automotive field is greatly increasing, and the convergence between the technologies is becoming stronger. In addition, Volkswagen, Ford and Hyundai showed significant changes in technology convergence. They were analyzed as having a change in strategy in eco-friendly automotive technologies. This study suggests various ways for companies to utilize the results of network analysis more meaningfully.

• Journal of the Korean Institute of Gas
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• v.24 no.5
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• pp.47-55
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• 2020

Hazardous materials accidents are not limited to the leakage of the material, but if the early response is not appropriate, it can lead to a fire or an explosion, which increases the scale of the damage. However, as the 4th industrial revolution and the rise of the big data era are being discussed, systematic analysis of hazardous materials accidents based on new techniques has not been attempted, but simple statistics are being collected. In this study, we perform the systematic analysis, using machine learning, on the fire accident data for the past 11 years (2008 ~ 2018), accumulated by the National Fire Service. The analysis results are visualized and presented through text mining analysis, and the possibility of developing a damage-scale prediction model is explored by applying the regression analysis method, using the main factors present in the hazardous materials fire accident data.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.675-690
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• 2017

Preparing the 4th industrial revolution age, a diagnostic assessment management system which can collect nationwide data has been implemented and utilized for the development of the evidence-based educational policy. This study aims to develop heuristics to help to improve usability of such systems, which are utilized by primary and middle school community including teachers and students in the nationwide. To achieve the objective, previous studies related to the development of heuristics in the educational contexts as well as basic heuristics from Nielsen were reviewed, and usability problems of the web-based diagnostic-supplement system being currently utilized, as a sample system, were analyzed. Then, the first version of heuristics was developed. The developed heuristics were validated and revised through 2 rounds of the delphi methods with 15 experts. This study has an implication with preparing foundations on improving usability of such diagnostic assessment management system utilized by school community at the nationwide in educational contexts.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.97-110
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• 2018

With the advent of the 4-th industrial revolution, manufacturing companies have increasing interests in the realization of smart manufacturing by utilizing their accumulated facilities data. However, most previous research dealt with the structured data such as sensor signals, and only a little focused on the unstructured data such as text, which actually comprises a large portion of the accumulated data. Therefore, we propose an association rule mining based facility error pattern extraction framework, where text data written by operators are analyzed. Specifically, phrases were extracted and utilized as a unit for text data analysis since a word, which normally used as a unit for text data analysis, is unable to deliver the technical meanings of facility errors. Performances of the proposed framework were evaluated by addressing a real-world case, and it is expected that the productivity of manufacturing companies will be enhanced by adopting the proposed framework.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.267-273
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• 2020

Beacon is a wireless communication device that can automatically recognize the smart device in the short distance and transmit the necessary data, Beacon is a representative Internet of Things (IoT) facility in the era of the 4th Industrial Revolution, which is utilized in various fields such as short-distance information delivery, mobile location service, shopping, and marketing, and is constantly evolving. In this paper, it is based on tourist site-based recommendation information service. A system is proposed that recommends customized information according to the user's interest, preference, etc. by incorporating beacon technology. In other words, it acts as an information agent that informs tourists of desired information. In order to meet the needs of tourists, it is necessary to build an intelligent tourism recommendation system. The personalized Korean food and tourism recommendation management system using the beacon technology proposed in this paper is expected to provide high-quality services not only to foreigners visiting Korea but also to Korean tourists.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.247-259
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• 2020

Today is the era that the importance of education and training is emphasized. However, the problem of the issues on the question how the coding or related educations according to the 4th industrial revolution era are applied or utilized actually or that the correlation with the actual enterprises is facing with social and realistic problem. Therefore, this study intended to identify what impact the characteristics of the education and training has on the educational outcomes on the characteristics of individual by segmentalizing the characteristics of education and training, through which, this study examined what impact it has on the educational outcomes. As a result, it was shown that the SW education course has positive (+) impact on the major competence and learning performance out of the characteristics of individual and SW educational environment does not have nay impact. In addition, it was shown that the characteristics of individual have positive impact on all the satisfaction of educational outcomes and the negative impact on all the dissatisfaction of educational outcomes. These results emphasizes the importance of the SW educational course and SW education teaching and deemed to be results to make us to think about the SW educational environment again.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1515-1525
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• 2018

Security threats in the 4th Industrial Revolution have expanded to the issue of safety, but the environment for information security of domestic companies is still at a low level. This study aims to propose policy implications by empirically analyzing factors affecting investment intention. We investigated the state of information security and protection behavior and expanded UTAUT to investigate correlations. The results showed that information assets affect facilitating conditions, and perceived and new concerns have impacts on social influence. Social influence affect experience and habits, but the impact on security investment intentions was rejected. Facilitation conditions, previous experiences and habits have great influences on investment intention, new service security investment intention. The influence of perceived and new concern are low or rejected. There are moderating effects between types of business, size, security organization, experience of infringement, security personnel ratio, and personal information collection. This study will help to establish policies for enhancing the level of information security.

• The Journal of Korean Association of Computer Education
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• v.21 no.5
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• pp.11-23
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• 2018

In order to cultivate human resources to live in the 4th industrial revolution era, software (SW) education became mandatory in the 2015 revised curriculum. Furthermore the science mathematics informatics education promotion law was enacted to emphasize the importance of software convergence education. Therefore, it is necessary to study how to converge and educate mathematics and science with software education to solve problems in real life and various disciplines. This study is to find the directions and effectiveness of software convergence education through content analysis of the software mathematics science convergence teaching and learning materials, which are recently developed and distributed by the Ministry of Education et al. The results of this research are expected to suggest implications to future researches about software, mathematics and science convergence education.