• Journal of Christian Education in Korea
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• v.74
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• pp.33-55
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• 2023

This study aims to explore the direction of Christian public practice in the post-COVID era, seeking to overcome the uncanny feeling caused by increased division and exclusion during the pandemic period. Firstly, we will investigate the unequal impact of COVID-19 on the labor market and examine ways to achieve economic justice in the post-COVID era. Subsequently, we will deliberate the role of Christianity in establishing publicness in the digital world and virtual spaces. Finally, viewing COVID-19 as a catastrophe caused by an anthropocentric worldview and exploitation driven by greed, we will explore the tasks of Christianity to overcome the crisis of the Anthropocene. Christian public practice should fulfill its mission of care and stewardship not only in social context but also in an ecological dimension. The author proposes "planetary citizenship education" for a harmonious relationship between human species and the Earth they inhabit.

• Annual Conference of KIPS
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• 2020.11a
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• pp.109-112
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• 2020

본 논문은 기업의 중요 정보를 내부에 저장하면서도 스토리지, 컴퓨팅 및 네트워크를 단일 시스템으로 통합한 HCI(Hyper-Converged Infrastructure) 기반의 On-premises 가상화 인프라를 기업에 도입했을 때의 효과를 검증한다. 150여 대의 물리 서버를 운영하는 기업에서 신규 시스템에 대해서 HCI 가상화 기반의 인프라를 도입하여 물리 서버 대비 약 35%의 구축비용을 절감하고, 기본 사용 연수인 5년간의 유지보수 비용은 약 59%의 절감효과를 예상할 수 있었다. 이를 통해 HCI 가상화 기술을 통해 정보기술이 기업 비즈니스 성패에 큰 영향을 주는 4차산업 혁명 시대에 기업의 총 IT 소유비용(TCO)을 절감할 수 있음은 물론, 빠른 비즈니스 변화에 유연하게 대응할 수 있는 인프라를 구성할 수 있음을 시사했다. 또한 가상화로 전환을 망설이는 기업에는 실질적인 효과를 제시할 수 있을 것이다.

• Annual Conference of KIPS
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• 2019.10a
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• pp.543-545
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• 2019

4차산업혁명 시대가 도래함에 따라서 기존의 단순 지식 습득 위주의 교육에서 코딩을 통한 창의적 사고와 문제 해결능력을 키워주는 교육이 주목받기 시작하였다. 이러한 시대에 흐름에 발맞추어 교육부는 2019년부터 모든 초중고등학교에서 소프트웨어 교육을 정규 교육과정에 포함 시킨다고 밝혔다. 따라서 본 논문에서는 이미 수년 전부터 소프트웨어 중점 교육을 실시하고 있던 해외의 사례를 토대로 피지컬 컴퓨팅(Physical Computing) 기반의 소프트웨어 교육을 위한 초음파센서 블록을 개발하였다. 초음파센서블록은 학생들에게 익숙한 레고 안에 초음파센서와 아두이노를 내장하여 블록코딩을 활용한 콘텐츠 설계가 가능하다. 초음파센서블록을 입력장치로 사용하여 사전 연구를 통해 개발된 스위치, LED, 스피커 블록 등과 연동하여 학생들은 상상한 작품들을 블록코딩을 통해 실제로 구현해 볼 수 있다. 이 과정을 통해 학생들은 재미와 성취감을 느끼고 자발적인 학습 참여가 이루어질 것으로 예상된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.105-111
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• 2018

STEAM and S / W education in public education are effective in fostering talented people and the talents of the 4th industrial revolution era. It is necessary to expand the teachers for this purpose, to find out and apply various learning materials, and to improve education environment for fusion talent education. An open learning platform is effective in reducing private education costs and supplementing public education. Especially, it is useful for flip learning combined with classroom (off-line). In this case, teacher's role can be transformed into active teaching activities and research activities, which can speed up normalization of public education and reduce private education.In particular, the core functions of the MOOC platform for elementary education are 'creative instructional design and contents development function', 'digital teaching and learning curation', 'big data based learner customization', 'learning participation' flip learning and social Learning function.Through this study, it is expected that discussion on the introduction of MOOC for career and admission education for adolescents including elementary education will be established and the Korean youth MOOC platform will be developed and developed as a global advanced model of education democratization.

• The Journal of Bigdata
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• v.5 no.1
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• pp.139-145
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• 2020

In the era of the 4th Industrial Revolution, the use of information based on AI APIs has a great influence on industry and life. In particular, the use of artificial intelligence data in the medical field will have many changes and effects on society. This paper is to study the necessary components to implement the "Cognitive Health Advisor model (CHA model)" and to implement the "CHA model using chatbot" based on this. It uses the open Cognitive chatbot to analyze and analyze the health status of users changing in their daily lives. The user's health information analyzed by the biometric sensor and chatbot consultation delivers the information to the user through the chatbot. And it implements a cognitive health advisor model that provides educational information for users' health promotion. Through this implementation, it intends to confirm the possibility of future use and to suggest research directions.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.177-188
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• 2020

In the digital world, creative industries such as music, movies, and drama have been the most impacted by digital transformation. As these contents were converted to a digital format of 0s and 1s, the business model changed and so did the rules of competition in the market. Apple, Spotify, and Netflix were quick to ride the digital transformation wave to become market leaders in the creative industry. This study reviews case studies in the creative industry to grasp the important factors necessary for market restructuring using digital technology. It was found that companies that set visions, platform, and open innovation as business strategies were able to achieve critical mass and become market leaders. These three elements are commonly found in the contents industry. On the other hand, companies that did not embrace digital innovation have become victims of digital darwinism. By analysing the experience of digital product innovation through case studies in the creative industry, we can derive implications for digital transformation in the 4th industrial revolution.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.75-88
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• 2021

Along with the advent of the Fourth Industrial Revolution, fostering young talents with convergent mind is getting important. Moreover pre-service teachers' ability to design proper convergent classes can be a meaningful issue for high quality future education. This study proposes the role of professors' exquisite feedback is so significant for developing their competence in STEAM education, It analyzed how various theories regarding feedback support them to enhance convergent knowledge with e-learning. They participated in the 5 step group and individual activities for creating STEAM lesson plan and received suitable feedback. Lastly a survey was performed. The researchers did modeling how integrative feedback was applied to the procedure step by step according to the 'Ladder of Inference' theory. This strategic model contributed to elevating the participants' convergent knowledge, competence, achievement and satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1578-1587
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• 2019

Software education enhances creative thinking and critical thinking for students living in the era of the Fourth Industrial Revolution, and helps them choose jobs in software-related industries. This study is an example of software education applied to the vulnerable students of the child welfare center to narrow the software gap and achieve the equity in education. This education was conducted in Unplugged activity, Entry coding, and Physical computing classes for 170 students from 20 institutions in South Chungcheong Province, North Chungcheong Province, and Daejeon city in Korea. The curriculum utilized a total of four types of student and teacher level materials, with a total of 10 hours of classes per child welfare center. In addition, the surveys of the students and institutions confirmed that this education influenced their interest in software education and their desire for continuous software education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.20-29
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• 2021

In the Industry 4.0 era, artificial intelligence has attracted considerable interest for learning mass data to improve the accuracy of forecasting and classification. On the other hand, the current method of detecting anomalies relies on traditional statistical methods for a limited amount of data, making it difficult to detect accurate anomalies. Therefore, this paper proposes an artificial intelligence-based anomaly detection methodology to improve the prediction accuracy and identify new data patterns. In particular, data were collected and analyzed from the point of view that sensor data collected at vehicle idle could be used to detect abnormalities. To this end, a sensor was designed to determine the appropriate time length of the data entered into the forecast model, compare the results of idling data with the overall driving data utilization, and make optimal predictions through a combination of various sensor data. In addition, the predictive accuracy of artificial intelligence techniques was presented by comparing Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) as the predictive methodologies. According to the analysis, using idle data, using 1.5 times of the data for the idling periods, and using CNN over LSTM showed better prediction results.

• Journal of the Health Care and Life Science
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• v.10 no.2
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• pp.361-367
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• 2022

This study provides several methods to minimize dead zone and to detect missing person using combined DRONE and AI especially called 4 th Industrial Revolution. That is composed of image acquisition for a person who is in needed of support. The procedure is DRONE that is made of image acquisition and transfer system. after that can be shown GPS information. Currently representative AI algorithm is YOLO (You Only Look Once) that can be adopted to find manikin or real image by learning with dataset. The output was reached in reliable and efficient results. As the trends of DRONE is expanded widely that will provide various roll. This paper was composed of three parts. the first is DRONE specification, the second is the definition of AI and procedures, the third is the methods of image acquisition using DRONE, the last is the future of DRONE with AI.