• 산업과 과학
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• 제2권1호
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• pp.15-20
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• 2023

본 연구의 목적은 4차산업혁명 시대의 빅데이터 분석 기술을 활용한 충청도 복지정책 변화와 중요성을 분석하고 사회적 약자를 포함한 모든 세대의 안정적 복지정책을 제안하였다. 충청도 정책 관련 빅데이터를 파이선으로 코딩하여 시각화분석 결과를 토대로 안정적인 정부 정책을 제안한다. 연구 결과 충청도 정부 정책의 키워드는 지역, 사회, 정부 및 지원, 교육, 여성 등의 순으로 확인되었으며, 지역 건강정책과 사회 복지 향상을 중심으로 복지 정책을 강화해야 한다. 향후 연구 방향은 해외사례를 비교하고, 전국적인 복지정책의 안정적인 영향에 관한 정책 제안이 필요할 것이다.

• 한국콘텐츠학회논문지
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• 제20권1호
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• pp.142-151
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• 2020

우리는 이제 초연결사회(Hyper-Connectivity)에 살고 있다. 오늘날 대중이 소셜 커뮤니케이션을 적극적으로 활용하게 된 이유는 필요한 정보가 웹(Web) 공간을 통해서 소셜 빅데이터(Social Big Data)라는 이름으로 수집되고 분류되어 정보의 생태계인 빅데이터 시대를 만들어 가고 있기 때문이다. 빅데이터 정보가 대중에게 꼭 필요한 정보로 이용되기 위해서는 알기 쉽고 명확하게 전달할 수 있는 빅데이터 시각화작업이 필요하다. 본 연구는 소셜 빅데이터의 정보에 따른 시각화 유형을 분류하였고, 경험 평가대상으로 실제 빅데이터 시각화를 직접 활용하고 연구해야 하는 관련 전공생들과 일반인을 포함한 체험자를 대상으로 하였다. 체험자들의 경험을 분석한 결과, 데이터를 관리·분석·활용할 수 있는 시각화 전달방법에 대한 중요한 시사점이 도출되었다. 이에 따른 빅데이터 시각화 전략은 SNS상의 데이터 환경과 사용자의 눈높이에 맞는 방식으로 표현되어야 한다는 것이다. 앞으로 사용자를 위한 빅데이터 시각화가 상품서비스나 사회적 트렌드에 적용하여 활용된다면 개인의 상품 구매, 취향, 문화 등 그 역할과 적용 범위가 넓어지고 적용 대상이 많아질 것이라는 측면에서 중요한 자료가 될 것으로 생각한다.

• 대한임베디드공학회논문지
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• 제14권4호
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• pp.187-195
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• 2019

In the fourth industrial revolution era, various commercial smart platforms for smart system implementation are being developed and serviced. However, since most of the smart platforms have been developed for general purposes, they are difficult to apply / utilize because they cannot satisfy the requirements of real-time data management, data visualization and data storage of smart factory system. In this paper, we implemented an open source based smart manufacturing big data platform that can manage highly efficient / reliable data integration for the diagnosis diagnostic system of manufacturing robots.

• 패션비즈니스
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• 제26권1호
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• pp.1-15
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• 2022

Digital transformation has induced changes in human life patterns; consumption patterns are also changing to digitalization. Entering the era of industry 4.0 with the 4th industrial revolution, it is important to pay attention to a new paradigm in the fashion industry, the shift from developer-centered to user-centered in the era of the 3rd industrial revolution. The meaning of storing users' changing life and consumption patterns and analyzing stored big data are linked to consumer sentiment. It is more valuable to read emotions, then develop and distribute products based on them, rather than developer-centered processes that previously started in the fashion market. An AI(Artificial Intelligence) deep learning algorithm that analyzes user emotion big data from user experience(UX) to emotion and uses the analyzed data as a source has become possible. By combining AI technology, the fashion industry can develop various new products and technologies that meet the functional and emotional aspects required by consumers and expect a sustainable user experience structure. This study analyzes clear and useful user experience in the fashion industry to derive the characteristics of AI algorithms that combine emotions and technologies reflecting users' needs and proposes methods that can be used in the fashion industry. The purpose of the study is to utilize information analysis using big data and AI algorithms so that structures that can interact with users and developers can lead to a sustainable ecosystem. Ultimately, it is meaningful to identify the direction of the optimized fashion industry through user experienced emotional fashion technology algorithms.

• 한국엔터테인먼트산업학회논문지
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• 제14권4호
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• pp.145-153
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• 2020

빠르게 변화하고 있는 4차 산업 시대에 빅데이터는 다양한 분야에 활용되고 있다. 최근 문화예술콘텐츠 전반에도 빅데이터의 활용은 급속도로 적용되고 있고, 그중에서도 영화는 자본이 많이 드는 예술장르로서 빅데이터의 활용은 매우 유용한 분석 수단이다. 본 연구는 2019년 제72회 칸 영화제의 황금종려상과 아카데미 시상식에서 4관왕(작품상, 감독상, 각본상, 외국어 영화상)을 차지하며 한국영화의 가치를 보여준 영화 <기생충>을 대상으로 빅데이터 분석기법을 적용하여 실시하였다. 이렇게 분석된 값은 데이터의 주기별 변화량과 감성의 값을 부여하는 오피니언 마이닝을 통해 영화 흥행을 예측하고, 페이스북(Facebook), 트위터(Twitter) 등 SNS의 활용지수와 토픽 키워드를 추출하여 관객들의 관심을 반영하는 영화적 요인들이 무엇인지를 살펴보았다. 이처럼 빅데이터를 활용한 영화흥행 요인분석으로 모델 구축 및 모형 개발로 흥행예측이 가능해지면 영화제작 과정의 효율성을 극대화하면서 제작비용과 영화실패에 따른 리스크를 최소화 할 것이다.

• 한국정보통신학회논문지
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• 제19권4호
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• pp.991-1000
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• 2015

본 논문은 스마트시대의 온라인 학습에 대한 논문으로, 새로운 모델을 제안하고 실증하는데 초점을 두었다. 온라인 학습 클래스 운영에 있어 각 학습 요인들을 통해서 최종 성취도를 예측하는 연구를 진행하였다. 이에 학습 운영 요인 7가지를 정하고 학습자들의 데이터를 수집한 후 의사결정나무방법을 통한 예측 모델을 완성한다. 모델을 통한 예측성을 확인한 후, 일반성 확보를 위해 다른 교과목에도 모델을 적용시켜 예측성을 확인하였다. 결과적으로 기존의 온라인 클래스의 정적인 학습 모델을 넘어 객관적인 지표를 이용한 학업성취도를 상시적으로 확인할 수 있게 하였다. 학습자와 교수자 모두가 학습 중 유용하게 활용할 수 있는 스마트시대 새로운 패러다임의 학습 모델을 제안한다.

• International Journal of Advanced Culture Technology
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• 제4권2호
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• pp.7-18
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• 2016

The first D2C-era web-real variety show in Korea was broadcast via tvN of CJ E&M. The web-real variety program 'SinSeoYuGi' accumulated 54 million views, along with 50 million views at the Chinese portal site QQ. This study carries out an analysis using text mining that extracts portal site blogs, twitter page views and associative terms. In addition, this study derives viewers' response by extracting key words with opinion mining techniques that divide positive words, neutral words and negative words through customer sentiment analysis. It is found that the success factors of the web-real variety were reduced in appearance fees and production cost, harmony between actual cast members and scenario characters, mobile TV programing, and pre-roll advertising. It is expected that web-real variety broadcasting will increase in value as web contents in the future, and be established as a new genre with the job of 'technical marketer' growing as well.

• 공학교육연구
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• 제20권3호
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• pp.25-31
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• 2017

As the world enters the era of the Fourth Industrial Revolution, which is represented by advanced technology, it not only changes the industrial field but also the education field. In recent years, Smart Learning has enriched learning by using diverse forms and technologies that utilize vast amount of information about learners' individual knowledge through the emergence of realistic and intelligent contents that combine high technology such as artificial intelligence, big data and virtual reality and there is an increasing interest in intelligent adaptive learning, which can customize individual education. Therefore, the purpose of this study is to explore intelligent adaptive learning method through recent smart education environment, beyond traditional writing-based communication education which is highly dependent on the competency of instructors. In this study, we analyzed the various learner information collected in the communication course and constructed a concrete teaching and learning method of intelligent adaptive learning based on the instructor's intended smart contents. The result of this study is expected to be the basis of highly personalized teaching and learning method of digital method in communication education which is emphasized in the fourth industrial revolution era.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.1051-1062
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• 2021

The improvement of the performance of savings and loan cooperatives in Indonesia is a challenge in the digital era. The purpose of this research is to find how big the role of psychological climate is in mediating the relationship between leadership and organizational commitment. This study hopes to confirm the influence of leadership and psychological climate on organizational commitment and examines the psychological climate intervention (mediation) on the relationship between leadership and organizational commitment of the cooperatives. The population of this research is all members of the cooperative in Bali. This study uses a saturated sampling method to determine the sample. Data collection was carried out through questionnaires and data analysis using PLS. The results showed that in the digital era, leadership has a positive effect on organizational commitment, psychological climate, and in the end, will provide positive organizational commitment. Psychological Climate mediation answers the question that the impact of leadership and commitment will continue to exist and perform in an era of disruption. Culture is important in an organization; some areas such as Bali have a thick local culture. Perhaps future research should be improved on local culture and leadership transformation.

• 한국IT서비스학회지
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• 제20권2호
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• pp.91-109
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• 2021

Recently, social and economic environment has been rapidly changed. In particular, the development of IT technology accelerated the introduction of databases, communication networks, information processing and analyzing systems, making the use of such information and communication technology an essential factor for corporate management innovation. This change also affected the accounting areas. The purpose of this study is to document changes in accounting areas due to the adoption of IT technologies in the era of technology and information, to define the required accounting professions in this era, and to present the efficient educational methodologies for training such accounting experts. An accounting expert suitable for the era of technology and information means an accounting profession not only with basic accounting knowledge, competence, independency, reliability, communication skills, and flexible interpersonal skills, but also with IT skills, data utilization and analysis skills, the understanding big data and artificial intelligence, and blockchain-based accounting information systems. In order to educate future accounting experts, the accounting curriculum should be reorganized to strengthen the IT capabilities, and it should provide a wide variety of learning opportunities. It is also important to provide a practical level of education through industry and academic cooperation. Distance learning, web-based learning, discussion-type classes, TBL, PBL, and flipped-learnings will be suitable for accounting education methodologies to foster future accounting experts. This study is meaningful because it can motivate to consider accounting educational system and curriculum to enhance IT capabilities.