• Journal of the Korea Computer Graphics Society
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• v.23 no.5
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• pp.51-56
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• 2017

In this paper, we define "presence" as a physiological and emotional feeling which feels that he or she is immerged in a specific artworks when he/she is very interested in the artwork. To measure the presence, we use a combined approach of subjective survey and brain signals (EEG). Subjective survey includes PQS (presence questionnaire survey) and IDQS (individual differences questionnaire survey). We experimented with 30 random populations, and we performed Cronbach's ${\alpha}$ test to verify the validity of the survey results. We also cross-checked the survey with EEG test for the populations. From our experimentation, we conclude that opponent color (e.g. yellow and blue) makes strong excitation on presence. In this paper, we believe that there are strong presence even in the abstract images, and it can be stronger than photo-realistic images if we well-design color, forms on the artwork.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.413-418
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• 2006

개인용 미디어 단말로서 MP3 플레이어는 이제 음악 파일을 감상하기 위한 일상 생활에서 중요한 휴대 필수품이 되었으며 단순히 음악을 재생하는데 그치지 않고, 각종 정보들을 표시하기 위한 작은 화면이 부착되고 있으며 더 나아가 이미지 정보나 동영상을 표현할 수 있는 기능들이 추가 되고 있다. 이처럼 변화하는 멀티미디어 서비스에 발맞추어 MPEG 에서는 Multimedia Application Format (MAF) (ISO/IEC 23000) 라는 새로운 표준안을 제안하였다. MAF 표준안의 기본 방식은 산업 현장 및 사용자의 요구에 빠르게 부응하기 위해, 기존에 존재하는 표준안들을 결합시켜 새로운 멀티미디어 파일 포맷을 정립하였다. 그 첫 번째 결과물로서, 이미 널리 쓰이고 있는 MP3 파일 포맷에 새로운 기능을 추가하기 위한 Music Player MAF 포맷의 FDIS 가 제안되었다. Music Player MAF 는 MPEG-1 Audio Layer III(MP3) 와 MPEG-7 MDS 메타데이터 정보를 결합한 파일 포맷으로. 기존 ID3 태그에서 표현되는 정보 보다 훨씬 풍부한 메타데이터 정보와 더불어 선택적으로 하나의 JPEG 이미지를 포함한 형태로 이루어져 있다. 그러나, 현재의 파일 포맷은 시간이 고려되지 않은 하나의 JPEG 이미지만을 포함할 수 있기 때문에, 오늘날 사용자가 요구하는 다양한 멀티미디어 서비스를 제공하기에는 많은 한계점을 갖고 있다. 본 논문에서는 Music Player MAF FDIS 에 제안된 세가지 형태의 Music Player MAF 파일 포맷에 관해 기술 한다. 복수의 JPEG 이미지 및 텍스트를 저장하기 위하여 각각의 파일 포맷이 갖는 문제점을 언급하고 하나 이상의 JPEG 이미지와 자막 정보를 MP3 음악 정보와 동기화 시켜 추가 할 수 있는 기능을 추가를 제안한다. 또한 제안된 파일 포맷을 쉽게 생성할 수 있도록 기존의 XMT-O 스키마를 기반으로 MAF 를 위하여 새롭게 MAF XMT 스키마를 정의하고 정의된 스키마를 기반으로 구현된 Music Player MAF 의 저작툴과 제안된 확장 뮤직 플래이어 MAF 을 위한 재생툴을 구현한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1792-1801
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• 2003

In these days, image mosaic is getting interest in the field of advertisement, tourism, game, medical imaging, and so on with the development of internet technology and the performance of personal computers. The main problem of mage mosaic is searching corresponding points correctly in the overlapped area between images. However, previous methods requires a lot of CPU times and data processing for finding corresponding points. And they need repeated recording with a revolution of 360 degree around objects or background. This paper presents a new image mosaic method which generates a panorama image from a video sequence recorded by a general video camera. Our method finds the corresponding points between two successive images by using a new direction oriented 3­step block matching methods. Experimental results show that the suggested method is more efficient than the methods based on existing block matching algorithm, such as full search and K­step search algorithm.

• Database Research
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• v.34 no.3
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• pp.45-57
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• 2018

The drowsiness that occurs in the driving is a very dangerous driver condition that can be directly linked to a major accident. In order to prevent drowsiness, there are traditional drowsiness detection methods to grasp the driver's condition, but there is a limit to the generalized driver's condition recognition that reflects the individual characteristics of drivers. In recent years, deep learning based state recognition studies have been proposed to recognize drivers' condition. Deep learning has the advantage of extracting features from a non-human machine and deriving a more generalized recognition model. In this study, we propose a more accurate state recognition model than the existing deep learning method by learning image and PPG at the same time to grasp driver's condition. This paper confirms the effect of driver's image and PPG data on drowsiness detection and experiment to see if it improves the performance of learning model when used together. We confirmed the accuracy improvement of around 3% when using image and PPG together than using image alone. In addition, the multimodal deep learning based model that classifies the driver's condition into three categories showed a classification accuracy of 96%.

• Journal of The Korean Association For Science Education
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• v.28 no.1
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• pp.1-14
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• 2008

The image of science is one of the recurrent topics in science education research. In particular, we believe that students' images of Doing-Science-Well could be used for identifying not only students' perceived goals of science learning, but also practical guidelines of effective science teaching. In this study, the students' images of Doing-Science-Well were investigated with the following two research questions: (i) what are student's images of Doing-Science-Well?; (ii) in what contexts do students perceive that someone is doing science well? Thirty seven students in a high school in Seoul, Korea were asked to write their personal experiences by which they realized that someone was doing science well. The main results of the study are the following: Firstly, the images of Doing-Science-Well could be categorized into 'Einstein type', 'Socrates type', 'MacGyver type' and six more types. Secondly, with regard to contexts, students tended to realize that somebody is doing science well in terms of two kinds of contexts: 4 physical contexts and 6 psychological contexts. The findings led us to develop a frame of judging Doing-Science-Well, which combines the types and two kinds of contexts. The frame illustrates the multiplicity of the images of Doing-Science-Well.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.541-550
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• 2003

It is important for the strategy of product sales to investigate the consumer's sensitivity and preference degree in the environment that the process of material development has been changed focusing on the consumer renter. In the present study, we propose the Fashion Design Recommender System (FDRS) of textile design applying collaborative filtering personalization technique as one of methods in the material development centered on consumer's sensibility and preferences. In collaborative filtering personalization technique based on textile, Pearson Correlation Coefficient is used to calculate similarity weights between users. We build the database founded on the sensibility adjective to develop textile designs by extracting the representative sensibility adjective from users' sensibility and preferences about textile designs. FDRS recommends textile designs to a consumer who has a similar propensity about textile. Ultimately, this paper sugeests empirical applications to verify the adequacy and the validity on this system with the development of Fashion Design Recommender System (FDRS)

• Korea Science and Art Forum
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• v.29
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• pp.189-201
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• 2017

The purpose of this study is to identify the factors that constitute the memorable tourism experiences and to grasp the influence relationship between the memorable tourism experience and the tourism destination brand equity and the loyalty of the tourism destination. The scope and method of the research are derived from the survey data collected through the questionnaire survey for foreign tourists who are visiting Korea, the reliability analysis and the feasibility analysis are conducted, and the relationship between the factors is analyzed through regression analysis. The results of this study are as follows. First, the results of the study are as follows. First, the results of the study are as follows. First, Interested exotic experiences, experience with local guides, and local residents' hospitality experience were found to have a significant effect on tourism destination brand assets. Based on this, And provided practical implications.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.647-654
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• 2023

Deep Learning is a useful method for classifying and recognizing complex data such as images and text, and the accuracy of the deep learning method is the basis for making artificial intelligence-based services on the Internet useful. However, the vast amount of user da vita used for training in deep learning has led to privacy violation problems, and it is worried that companies that have collected personal and sensitive data of users, such as photographs and voices, own the data indefinitely. Users cannot delete their data and cannot limit the purpose of use. For example, data owners such as medical institutions that want to apply deep learning technology to patients' medical records cannot share patient data because of privacy and confidentiality issues, making it difficult to benefit from deep learning technology. In this paper, we have designed a privacy preservation technique-applied deep learning technique that allows multiple workers to use a neural network model jointly, without sharing input datasets, in multi-party system. We proposed a method that can selectively share small subsets using an optimization algorithm based on modified stochastic gradient descent, confirming that it could facilitate training with increased learning accuracy while protecting private information.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.305-318
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• 2022

We focused on the care effectiveness of the interactive AI robots. developed an AI toy robot called 'Agaya' to contribute to personalization with more human-centered care. First, by applying P-TTS technology, you can maximize intimacy by autonomously selecting the voice of the person you want to hear. Second, it is possible to heal in your own way with good memory storage and bring back memory function. Third, by having five senses of the role of eyes, nose, mouth, ears, and hands, seeking better personalised services. Fourth, it attempted to develop technologies such as warm temperature maintenance, aroma, sterilization and fine dust removal, convenient charging method. These skills will expand the effective use of interactive robots by elderly people and contribute to building a positive image of the elderly who can plan the remaining old age productively and independently

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.271-273
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• 2003

본 논문에서는 바 코드리더로 그 정보를 읽어 낼 수 있지만, 시각적인 인쇄오류가 있는 바 코드를 고속으로 검출해 내는 방법을 제안한다. 바 코드는 해당 제품의 제품정보 및 키를 저장하기 위하여 주로 사용되어 왔다. 근래에 들어 바 코드의 활용범위가 점점 넓어지게 되면서 잘못 인쇄된 바 코드로 인하여 차후에 발생할 수 있는 시간적 경제적 손실을 줄이기 위하여 인쇄된 바 코드가 공장에서 나가기 전에 바 코드가 정확하게 인쇄되었는지를 검사하는 것이 중요하게 되었다. 특히 상품이 아니라 고객카드와 같이 바 코드 소유자의 정보를 저장하는 수단으로도 활용하는 경우는 개인이 자신의 카드를 소지하게 되므로 바 코드에 담겨있는 정보도 중요하지만 바 코드의 인쇄상태 또한 중요하다. 이는 바 코드리더로 제대로 읽혀진다 하더라도 시각적인 인쇄오류가 있는 경우 해당 고객으로부터 불만을 사게 되고 새 카드로 교체를 요구받게 되기 때문이다. 이 경우 회사의 이미지 실추는 물론 카드 교체에 따른 시간적 경제적 손실을 보게된다. 이에 본 논문에서는 바 코드의 높이가 모두 동일한 1차원(선형)바 코드를 대상으로 바 코드의 열 동질성을 이용한 시각적인 인쇄오류가 있는 바 코드를 검출해 내는 방법을 제안한다.