• Science of Emotion and Sensibility
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• 제14권2호
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• pp.197-206
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• 2011

The purpose of the study was to suggest automatic recognition of the subject's level of arousal into high arousal and low arousal with neural network SOM learning. The automatic recognition in the level of arousal is composed of three stages. First, it is a stage of ECG measurement and analysis. It measures the subject playing a shooting game with ECG and extracts characteristics for SOM learning. Second, it is a stage of SOM learning. It learns input vectors extracting characteristics. Finally, it is a stage of arousal recognition which recognize the subject's level of arousal when new vectors are input after SOM learning is completed. The study expresses recognition results in the level of arousal and the level of arousal in numerical value and graph when SOM learning results in the level of arousal and new vectors are input. Finally, SOM evaluation was analyzed average 86% by comparing emotion evaluation results of the existing research with automatic recognition results of SOM in order. The study could experience automatic recognition with other levels of arousal by each subject with SOM.

• Journal of Korea Game Society
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• 제6권3호
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• pp.51-66
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• 2006

According to this recent change of the educational stream, the researcher sought to find the relationship between the level of students' Self-Regulated Learning and the Knowledge Construction Process strategies they use to succeed at an educational on-line game, and attempt to make some suggestions on the design and use of educational on-line games in this study. In conclusion, the change in the education paradigm requires students to pursue and produce contextual knowledge by using various media and learning environments. Some theoretical backgrounds, related to situated learning theory and the use of supporting educational media, are necessary. As contextual educational media, On-line games can be expected to play the role of evoking fresh perspective towards all the aspects of education.

• Journal of Practical Engineering Education
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• 제15권2호
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• pp.389-400
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• 2023

Technological advancements in the field of information and communication have led to the advent and usage of various types of smart devices, which have significantly altered people's usage behaviors and environments. This change has also been applied to the learning environment, where various smart devices are appearing and the learning behavior of learners is changing accordingly. In this study, we investigate learners' perceptions of digital note-taking behaviors focusing on the recently emerged learning media, tablet PCs and digital pens. Drawing upon the expectancy-confirmation model, we conduct a study on the factors affecting the (dis)confirmation and (dis)satisfaction of undergraduate students with tablet PCs and digital pens by comparing their expectations with their actual use experiences. An open-ended survey was conducted among students at C University in Korea, and the responses were analyzed through qualitative content analysis to derive four factors of expectation-confirmation and satisfaction and three factors of expectation-disconfirmation and dissatisfaction. Based on these findings, we provide academic and educational implications.

• Journal of Broadcast Engineering
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• 제26권3호
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• pp.269-282
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• 2021

As the distribution of 3D content such as augmented reality and virtual reality increases, the importance of real-time computer animation technology is increasing. However, the computer animation process consists mostly of manual or marker-attaching motion capture, which requires a very long time for experienced professionals to obtain realistic images. To solve these problems, animation production systems and algorithms based on deep learning model and sensors have recently emerged. Thus, in this paper, we study four methods of implementing natural human movement in deep learning model and kinect camera-based animation production systems. Each method is chosen considering its environmental characteristics and accuracy. The first method uses a Kinect camera. The second method uses a Kinect camera and a calibration algorithm. The third method uses deep learning model. The fourth method uses deep learning model and kinect. Experiments with the proposed method showed that the fourth method of deep learning model and using the Kinect simultaneously showed the best results compared to other methods.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 한국방송공학회 2005년도 학술대회
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• pp.9-12
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• 2005

쌍방향 TV시대를 맞아 TV를 활용한 교육 서비스가 기존 e-Learning의 한계점을 극복 할 수 있는 대안으로 혹은 또 다른 하나의 서비스로 논의되기 시작하는 단계이다. 이에 본 연구에서는 e-Learning에 대한 정의와 T-Learning에 대한 정의를 바탕으로 상호관계를 규정하고 쌍방향 TV기반의 T-Learning에서 접근 가능한 교육 유형을 고찰하였다. 또한, 인터넷 기반 학습 환경에서 기존의 산발적으로 혹은 부분적으로 이루어진 e-Learning 도입 혹은 운영 방법론에 대한 연구와 관련 변인들을 고찰하였다. 이를 바탕으로 체계적이고 통합적인 e-Learning 도입 및 운영 방법론 모델을 제시하였으며 더 나아가 TV기반 학습 환경에서의 성공적으로 T-Learning 도입 및 운영을 위한 변인 요소를 도출하기 위한 모형을 연구 제시 하였다.

• Management & Information Systems Review
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• 제5권
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• pp.249-285
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• 2000

This paper discusses management education by utilizing the cyber education learning system in a web-based. New learning system tools offer great promise for a new contents of management learning. The cyber education learning system a shift from face-to-face lecturing to interactive learning. The situation changes profoundly when information technology becomes develope and education paradigm is shift. By exploiting the digital media. educations, and students, managers can shift to a new, more effect cyber education learning system. The following shift from classic educations to cyber educations learning system: from instruction to construction, from teacher-centered to learner-centered, from school to lifelong, from one-size-fits-all to customized, from teacher as transmitter to teacher as facilitator. Cyber education learning system has an important role to play in management education. Web-based technology is regarded as a general solution to cyber education learning. This study discussed many factors of implementation in cyber education systems and provide utilizing the learning system at main, detail functions. Lastly, management implications of these cyber education utilize are discussed in more detail.

• Journal of Korea Multimedia Society
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• 제19권5호
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• pp.932-938
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• 2016

Recently, interactive media which maximizes audience engagement by making the audience appeal on a stage in digital media environment has been distributed more widely. In fact, there has been active movement to develop and promote a new participatory media genre with higher immersion by applying this kind of interactive media concept to advertisement, film, game and e-learning. In the conventional interactive media, digital media had to be enjoyed in particular environment where diverse sensors were installed or through a certain device to recognize a user's motion and voice. This study attempted to design and implement an image creation system which ensures interactions between a user and media in popular distribution-enabled web environment and through PC and smart devices to minimize the image producer-user constraints.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.719-720
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• 2015

This paper propose the method of U-learning system which is the $21^{th}$ core IT fields of the knowledge based information-oriented society, which is digital convergenced ubiquitous with e-learning. Specially, for the future it will be expected and prospected new media core in digital life age using DMB smart phone.

• Smart Media Journal
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• 제9권3호
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• pp.9-17
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• 2020

Hippocampus is a complex brain structure embedded deep into the temporal lobe. Studies have shown that this structure gets affected by neurological and psychiatric disorders and it is a significant landmark for diagnosing neurodegenerative diseases. Hippocampus features play very significant roles in region-of-interest based analysis for disease diagnosis and prognosis. In this study, we have attempted to learn the embeddings of this important biomarker. As conventional metric learning methods for feature embedding is known to lacking in capturing semantic similarity among the data under study, we have trained deep Siamese convolutional neural network for learning metric of the hippocampus. We have exploited Gwangju Alzheimer's and Related Dementia cohort data set in our study. The input to the network was pairs of three-view patches (TVPs) of size 32 × 32 × 3. The positive samples were taken from the vicinity of a specified landmark for the hippocampus and negative samples were taken from random locations of the brain excluding hippocampi regions. We have achieved 98.72% accuracy in verifying hippocampus TVPs.

• Publications of The Korean Astronomical Society
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• 제30권2호
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• pp.715-718
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• 2015

Astronomy is a popular topic for the public in term of astronomical phenomenon such as occultations, solar and lunar eclipses or meteor showers. In term of education, astronomy also is popular as one of the world Science Olympiads. Social media, as the new trend in communicating and connecting people, plays a significant role in increasing the size of the astronomy community. Beyond IYA 2009, more and more astronomy activities have been done in many places in Indonesia. New astronomy communities have been formed in several cities and public engagement is also high in social media especially on Facebook and Twitter. In this paper, we will discuss the lesson learned from astronomy outreach achievements in Indonesia and the need for citizen science projects as a distance learning tool for the public as part of astronomy development in Indonesia. We argue and propose that this project will be also important up to a regional scope.