• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.427-429
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• 2022

Recently, metaverse technology is being used in various service industries such as games, entertainment, manufacturing, distribution, advertising, and education. Studies on the correlation between the continuous use of devices used in metaverse content are still insufficient. In order to be more immersed in the metaverse, it is necessary to develop a natural movement and an easy-to-use input device. Based on flow, this study was conducted on the topic of continuous use of metaverse contents and devices. The constituent factors of Flow, an independent variable, were set as sense of reality, immersion, and interaction. We intend to use the data of 500 male and female metaverse users for research through a survey institution. Among the flow factors that increase the continuous use of metaverse contents and devices, the factors that have the greatest influence were studied. Through the results of this study, it is intended to help establish the direction of the next-generation metaverse content and device industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.100-103
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• 2021

Most companies study why employees resign their jobs to prevent the outflow of excellent human resources. To obtain the data needed for the study, employees are interviewed or surveyed before resignation. However, it is difficult to get accurate results because employees do not want to express their opinions that may be disadvantageous to working in a survey. Meanwhile, according to the data released by the Korea Labor Institute, the greater the difference between the minimum level of education required by companies and the level of employees' academic background, the greater the tendency to resign jobs. Therefore, based on these data, in this study, we would like to predict whether employees will leave the company based on data such as major, education level and company type. We generate four kinds of resignation prediction models using Decision Tree, XGBoost, kNN and SVM, and compared their respective performance. As a result, we could identify various factors that were not covered in previous study. It is expected that the resignation prediction model help companies recognize employees who intend to leave the company in advance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.482-485
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• 2021

In this study, the effect of the workbook-based unplugged activity program on the improvement of computational thinking skills of elementary school students in 3rd and 4th grade was statistically analyzed. The study was conducted with 18 students in the 3rd and 4th grades of G Elementary School located in Chungcheongnam-do, and after conducting a computational thinking ability test in advance, an unplugged program based on the workbook was conducted in a total of 6 sessions with 9 members of the experimental group. After that, a post-mortem examination was conducted to analyze the degree of improvement in computational thinking ability. As a result of the analysis, it was confirmed that the workbook-based unplugged program improved the computational thinking skills of elementary school students in 3rd and 4th grade and had a positive effect.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.667-669
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• 2021

Recently, RFID/USN technology has been applied in various fields such as logistics, environment, education, home network, disaster prevention, military, and medical care, but despite the remarkable development of RFID/USN technology, it is difficult to apply it to marine industry due to the characteristics of poor marine environment. Therefore, satellites are mainly used in the marine sector, and existing communication networks are used in the coast, so measures for forming a shelf-only short-range network in the ocean are being considered. In this paper, we consider the use of drones as mobile base stations of USN as a base station role using USN in existing PS-LTE and LTE networks.Since autonomous navigation vessels are aiming for the intelligent system, the number of crew and labor force should be reduced and the function of autonomous network formation in the form of more stable and intelligent ICT convergence technology should be strengthened.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.314-317
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• 2022

This study was attempted to understand the relationship between disaster awareness, disaster attitude, and disaster response ability of the general public, and to be used as basic data to raise awareness of disasters and prepare countermeasures. This study was conducted from July 16 to July 31, 2021 for a total of 250 ordinary people living in K-do and D metropolitan cities. As a result of this study, it was found that it had an effect between disaster awareness, disaster attitude, and disaster response ability. Specifically, it was found that the general public's awareness of disaster had a significant effect on disaster attitude (necessity for disaster preparation, disaster management) (p<.001). In addition, among the sub-factors of disaster attitude, disaster management was found to have a significant effect on disaster response ability (p< .01). Therefore, specific and periodic education should be prepared to increase the ability to cope with disasters by increasing the general public's awareness of disasters.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.409-412
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• 2022

본 논문에서는 대입수시전형에서 생활기록부 입력은 대한민국 입시를 결정하는 매우 중요한 평가자료이다. 30명의 교사를 대상으로 실시한 설문조사를 통해서 교사들이 생활기록부를 작성하는데 가장 많이 참고하는 자료로는 수행평가 결과물, 발표내용, 보고서, 감상문 등의 학습 결과물(90%), 학생들이 작성한 자기평가서(73.3%), 관찰 평가지(50%)로 나타났으며, 80%(24명)의 교사들이 생활기록부를 작성하는데 고충을 겪고 있음을 확인할 수 있었다. 교사들이 느끼는 고충의 원인으로는 학생들의 개인별 특성 파악이 어려워 차별성있게 작성하는 것(76.7%)을 가장 힘들어 하였고, 작성해야 할 많은 수의 학생(60%), 문구를 만드는데 대해 부담(86.7%)을 느끼는 것으로 나타났다. 이 과정에서 교사의 전문성 뿐만 아니라 기계적이고 반복적인 작업도 많이 요구되고 있기 때문에, 생활기록부를 작성하는데에 도움을 줄 수 있는 프로그램 개발이 필요하다고 고안을 내었다. 교사들 역시 반복적이고 일률적인 생활기록부 작성에 도움을 줄 수 있는 프로그램이 있다면 유용하게 활용할 것이라는 응답이 90%였다. 따라서 본 연구에서 자연어 처리 인공지능 기술을 활용하여 교사들이 생활기록부를 작성하는데 있어 기계적이고 단순한 작업을 도와 주는 프로그램 개발에 대한 연구의 필요성을 제시하였다. 제안하는 프로그램은 학생들의 탐구보고서, 토론, 발표, 감상문 등의 생화기록부 작성 참고자료들을 텍스트로 변환하고 추상요약(Abstractive Summarization)을 통해 교사들이 효율적으로 작성하는데 활용될 수 있도록 설계하였다. 연구 결과 생활기록부 작성 참고자료를 텍스트로 변환하는 것과 추상요약을 할 수 있는 개방형 데이터셋까지는 확보하였다. 추상요약을 구현하는 방법에 대해서는 보다 심도 있는 추가연구가 필요하였다. 이를 통해 교사들이 교육 본질에 더욱 충실할 수 있는 환경을 마련하고, 내실 있는 생활기록부 작성이 공교육 신뢰 제고에 밑바탕이 되고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.478-480
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• 2022

This paper studies human activity image classification using deep transfer learning techniques focused on the inception convolutional neural networks (InceptionV3) model. For this, we used UFC-101 public datasets containing a group of students' behaviors in mathematics classrooms at a school in Thailand. The video dataset contains Play Sitar, Tai Chi, Walking with Dog, and Student Study (our dataset) classes. The experiment was conducted in three phases. First, it extracts an image frame from the video, and a tag is labeled on the frame. Second, it loads the dataset into the inception V3 with transfer learning for image classification of four classes. Lastly, we evaluate the model's accuracy using precision, recall, F1-Score, and confusion matrix. The outcomes of the classifications for the public and our dataset are 1) Play Sitar (precision = 1.0, recall = 1.0, F1 = 1.0), 2), Tai Chi (precision = 1.0, recall = 1.0, F1 = 1.0), 3) Walking with Dog (precision = 1.0, recall = 1.0, F1 = 1.0), and 4) Student Study (precision = 1.0, recall = 1.0, F1 = 1.0), respectively. The results show that the overall accuracy of the classification rate is 100% which states the model is more powerful for learning UCF-101 and our dataset with higher accuracy.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.199-201
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• 2023

본 연구는 육아종합지원센터의 가정양육지원 사업의 운영 사례를 통해 부모의 만족도 및 개선점을 확인하였다. 이를 위하여 육아종합지원센터의 가정양육지원사업에 참여한 부모를 대상으로 276명을 임의표집하여 설문조사를 실시하였으며 빈도 및 백분율을 분석하였다. 양적연구에 이어 심층 면담을 순차적으로 수행하는 혼합적 연구 방법을 적용하였고, 주요 연구 결과는 다음과 같다. 첫째, 가정양육지원사업의 만족도를 높게 인식하고 있었다. 둘째, 가정양육지원사업의 개선점은 부모가 가정양육지원 사업에 참여할 수 있도록 소그룹형태의 가족체험프로그램 확대에 대한 인식이 높으며, 사업에 대한 홍보가 필요한 것으로 나타났다. 이와 같이 본 연구는 육아종합지원센터의 가정양육사업에 참여한 부모의 만족도 및 개선점을 확인하여 가정양육사업의 향후 방향성을 제공하였다는 점에서 의의가 있다.

• Information Systems Review
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• v.25 no.2
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• pp.125-144
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• 2023

Generative Artificial Intelligence (AI) technology is gaining global attention as it can automatically generate sentences, images, and voices that humans previously generated. In particular, ChatGPT, a representative generative AI service, shows proactivity and accuracy differentiated from existing chatbot services, and the number of users is rapidly increasing in a short period of time. Despite this growing interest in generative AI services, most preceding studies are still in their infancy. Therefore, this study utilized LDA topic modeling and keyword network diagrams to derive success factors for generative AI services and to propose successful business strategies based on them. In addition, using ChatGPT, a new research methodology that complements the existing text-mining method, was presented. This study overcomes the limitations of previous research that relied on qualitative methods and makes academic and practical contributions to the future development of generative AI services.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.189-214
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• 2022

The purpose of this study is to provide an understanding of the current status of picture book-related research in Korea. For this purpose, 1,660 picture book-related research papers produced in Korea by 2021 were analyzed. The results revealed through the analysis are summarized as follows. First, research papers began to appear in the mid-1990s and began to increase significantly around 2010. Second, the journal with the most research papers was 『Journal of Children's Literature and Education』, accounting for 17.7% of the total. Third, the representative researchers who led the production of the papers are Eun-Ja Hyun and Hea-Sook Jo. Fourth, by research type, individual research papers accounted for 39% and joint research 61%. Fifth, as a result of the analysis of the research topic, the study of the contents (analysis) of picture books (33.4%), the study of the effect of picture books (29.6%), and the study of perception, reaction, and experience of picture books (18.0%) were in order. Sixth, as a result of the research method analysis, experimental studies (35.7%), content analysis (33.7%), literature studies (13.3%), and qualitative studies (9.3%) were in order. Based on the results of the analysis, the researcher suggested diversifying the research production route, expanding the trend of collaboration between universities and the field, diversifying research topics, and enhancing the validity and diversity of research methods.