• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.245-247
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• 2021

본 작품은 쇼핑의 발달 및 코로나로 인한 언택트 및 비대면 수요의 증가와 더불어 시간과 공간의 제약을 받지 않고 서비스를 이용할 수 있는 장점을 살려 만들었다. 어플리케이션에서 서버와의 연동을 통해 정보를 주고받으면서 웹페이지 안에 3D 모형과 각종 기능을 확인할 수 있고 이를 스마트폰 모바일 기기에서 간편하게 확인이 가능함으로써 다양한 쇼핑 기능들을 시각적으로 확인하고 활용할 수 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.317-318
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• 2020

언택트 문화가 활성화되면서 다양한 업체에서 홈트레이닝 어플리케이션이 출시되고 있다. 많은 어플리케이션이 관절 특징점 검출 기능을 제공하여 사용자에게 편리함을 제공하지만, 자체 컨텐츠만 사용가능하다는 점에서 한계를 갖는다. 본 작품에서는 딥러닝 기반의 관절 특징점 검출기 및 특징 추출기를 결합하여 실시간 자세 유사도 측정기를 구현하였다. 목표영상 및 사용자의 관절 위치를 파악함과 동시에 관절 위치 정보에 대한 특징을 추출하여 자세 유사도를 실시간으로 점수화해 사용자에게 제공한다.

• Monthly Duck's Village
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• s.207
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• pp.10-15
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• 2020

지난 8월 15일 광화문집회로 촉발된 코로나19 재확산세가 무서운 기세로 전국을 뒤덮었다. 서울과 경기일부의 수도권은 사회적 거리두기 2.5단계로 격상하면서 사실상 3단계에 돌입했다. 전국을 뒤덮은 코로나19 재확산의 공포로 북적이던 거리는 텅 비었고 코로나19 상황 속에서도 일상을 찾아가고 있던 시민들은 다시 집으로 숨었다. 코로나19 상황속에서 가장 화두가 되고 있는 것은 '언택트'와 '면역력'. 누구나, 어디서든, 피해갈 수 없는 코로나19시대에는 스스로가 가진 면역력이 최강의 무기가 되기 때문이다. 이제 면역력을 강화하는 식품이 주목받는 시대가 됐다. 그리고 면역력과 건강식품으로 알려진 오리고기가 떠오르고 있다. 코로나시대, 우리가 주목해야 할 오리고기의 면역력과 건강 기능성에 대해 자세히 알아본다.

• Journal of Korean Library and Information Science Society
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• v.51 no.3
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• pp.251-279
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• 2020

This study noted the recent impact of Coronavirus Disease-19 (Corona 19) on the environment surrounding the library, and investigated the libraries' response activities. In addition, related issues on news media and social media were detected based on text mining techniques to engage environmental changes surrounding the library. Key issues were derived from 1,852 news reports on the library related to the Corona 19 situation and 227,983 tweets related to the library during the Corona 19 epidemic. Through this, implications were derived: prolonged 'Untact' situations, increased e-book lending, improved expectations for online services and librarians, and re-conceptualized library space. In addition, the direction of future services was discussed by selecting representative examples of library services provided in the non-face-to-face (untact) situation and dividing them into books, services, and spaces.

• 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.19 no.10
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• pp.63-73
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• 2021

Sudden implementation of online classes in higher education due to Covid19 pandemic implies a lot of worries about academic performance declining. Thus, this paper analyzed a class(CalculusI) taught 100% online which was the same as the offline class before. This class tried to maintain the same quality as the offline one by utilizing various teaching strategies. The result shows the academic achievement level was similar or higher than that of offline class, and so was the students' perception and satisfaction degree. However, this was not just the outcome of online class, but it came from the professor's well-designed teaching plan and smooth operation of the class. It implicates successful teaching methodology is more important factor than such medium difference as online or offline. This study suggests the potential of online classes after the Covid19 pandemic, and expects further studies verify the result in a lot more curricula.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.277-282
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• 2021

The purpose of this thesis is to suggest the direction of various online education media to be developed in the future by studying the necessity and cases of non-face-to-face online craft education programs. To this end, among the online class platforms currently operated in Korea, four places that contain craft education programs were selected and analyzed for comparison. Class101, Hobbyful, Conects-Hobby Class, and Air Klass are examples. As a result of the study, the common features and advantages of the convenience of accessing contents and the diversity of class composition were found. However, there was a limitation in that the real-time inquiry and response system was not systematically implemented in most online class platforms. In particular, as the number of users of the online class platform is gradually increasing in the untact era caused by Covid-19, continuous research and development will be required to ensure that interaction, the most important characteristic of face-to-face, can also be performed well on online platforms.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.69-75
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• 2021

In a contact-free society, online services are becoming more important than classic offline services. At the same time, the role of a contact center, which executes customer relation management (CRM), is increasingly essential. For supporting the CRM tasks and their effectiveness, techniques of process automation need to be applied. Quality assurance (QA) is one of the time and resource consuming, and typical processes that are suitable for automation. In this paper, a method of automatic quality evaluation for voice based consultations is proposed. Firstly, the speech in consultations is transformed into a text by speech recognition. Then quantitative evaluation based on the QA metrics, including checking the elements in opening and closing mention, the existence of asking the mandatory information, the attitude of listening and speaking, is executed. 92.7% of the automated evaluations are the same to the result done by human experts. It was found that the non matching cases of the automated evaluations were mainly caused from the mistranslated Speech-to-Text (STT) result. With the confidence of STT result, this proposed method can be employed for enhancing the efficiency of QA process in contact centers.

• Journal of the Korean Society for information Management
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• v.37 no.4
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• pp.151-179
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• 2020

This study explores the potential of using a library chatbot to improve the non-face-to-face digital reference services for academic library users by designing and implementing a library chatbot. Through data analysis, user needs and library services were analyzed, and a scenario was designed by selecting an appropriate development method. For user-friendly interaction, the personality of the chatbot and user interface was designed to evaluate its usability. In addition, the accuracy was verified through the response accuracy evaluation and performance evaluation of the chatbot, and the effectiveness of the chatbot was evaluated through a user satisfaction survey. In order to manage the operation and maintain service quality, the chatbot is improved by monitoring user-chatbot conversations and reflecting user feedback. Based on these findings, recommendations for designing and implementing a library chatbot were made to help improve library reference services.

• Communications of Mathematical Education
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• v.34 no.4
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• pp.421-437
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• 2020

Problem/Project based learning(PBL) is a student-centered teaching method in which students collaboratively solve problems and reflect their experiences. According to the results of PBL study and the experiences of the authors in PBL instruction, this paper introduced the necessities, output and significance of learning process PBL evaluation method and sums up our PBL evaluation process. The issue of appropriate and fair evaluation has been raised in untact (non-contact) university mathematics education due to the novel coronavirus (COVID-19) of the year 2020. To this end, when we had the course on for the summer semester held at S University in the summer of 2020. To ensure the fairness in evaluation and to improve the quality of our college math education, the PBL evaluation method was fully adapted. As a result, most of the students who took the lecture have learned a wide range of related knowledge without a single exception, and students agreed it is an ideal, fair, rational, and effective evaluation method applicable to other online courses in the era of untact education. This case was summarized in detail and introduced in this paper.