• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.49-56
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• 2011

Recently, animation contents has become extensively available along with the development of cultural industry. In this paper, we propose a method to analyze a face of animation character and extract 3D rotational information of the face. The suggested method first generates a dominant color model of a face by learning the face image of animation character. Our system then detects the face and its components with the model, and establishes two coordinate systems: base coordinate system and target coordinate system. Our system estimates three dimensional rotational information of the animation character face using the geometric relationship of the two coordinate systems. Finally, in order to visually represent the extracted 3D information, a 3D face model in which the rotation information is reflected is displayed. In experiments, we show that our method can extract 3D rotation information of a character face reasonably.

• The Research Journal of the Costume Culture
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• v.13 no.4 s.57
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• pp.550-563
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• 2005

These days, photoshop and illustrator program can make a fashion illustration express easily and speedily, And they can also express a feeling and sensitivity of fashion illustrator by a tool and effect more than a manual work's media. The purpose of this study was to analyze a visual expression and characteristics in fashion illustration using 2D graphics. The method of this study was to analyze the fashion illustration books using 2D graphics. The visual expressions in fashion illustration using 2D graphics were as follows: Fashion illustration was based on a sketch or photography, and used a composition, drawing, mapping, painting, and manual work's re-touching. Characteristics of visual expression were as follows: First, a image composition was showed discontinuity and heterogeneity of image, new context and composition, and allowance of reality. Second, image transform was showed image overlap, body transformation by image recomposition, and deformed transformation by vector drawing. Third, hyper-real was showed precise touching, mechanical and neutral image, omission of background and focus of an object's characteristic and information. Fourth, following a realistic expression was showed simplified color, shading, dominant view point of fashion illustrator by omission, and daily lift style. Fifth, following a pictorial expression was showed non-fixed and irregular line, natural painting, and drawing and painting by conventional pictorial media. In conclusion, a photoshop and illustrator in 2D graphics will serve as a new media far fashion illustration with a manual work. And they will not only intensify a capacity as a commercial role of fashion illustration but also present a positive motive for students learning a fashion illustration.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.6
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• pp.75-85
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• 2020

The purpose of this study was to investigate the citizens' perception of urban ecosystem and urban ecosystem education to find out how to plan and create an effective urban ecosystem and how to utilize urban ecosystem education and educational media according to age groups. To this end, an online survey of 416 Suwon citizens was conducted, and based on the responses of the respondents, cross-analysis, multiple-response analysis, and correlation analysis were conducted using the IBM SPSS Statistics Statistical Program. The study found that fewer respondents showed a high understanding of urban ecosystem concepts compared to those who recognized the importance of environmental issues. Nevertheless, most of the respondents were aware of the importance of preserving and protecting the urban ecosystem and responded positively to the inconvenience. In addition, most of the respondents were aware of the need for urban ecosystem education and were found to have different preferred information media depending on age. It has been confirmed that the establishment of facilities such as ecological learning centers and seasonal environmental schools is the top priority among all age groups. Citizens are also aware of the importance of preserving and protecting the urban ecosystem and the need for education, but it is deemed necessary to supplement it because effective urban ecosystem conservation and protection plans and systematic education are not provided that citizens can sympathize with. In addition, it is deemed that various measures should be presented in selecting responsible organizations and educational media that host the education for effective education and promotion of urban ecosystem education according to conduct urban ecosystem education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.503-509
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• 2022

The purpose of this study is to set the rate of change between the market price of the next day and the previous day to be predicted as the predicted value, and the market price for each section is generated by dividing the stock price ranking of the next day to be predicted at regular intervals, which is different from the previous papers that predict the market price. We would like to propose a new time series data prediction method that predicts the market price change rate of the final next day through a model using the rate of change as the predicted value. The change in the performance of the model according to the degree of subdivision of the predicted value and the type of input data was analyzed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.284-286
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• 2021

With the continuous development of the Internet and digital, platforms are emerging to store large amounts of media data and provide customized services to individuals through online. Companies that provide these services recommend movies that suit their personal tastes to promote media consumption. Each company is doing a lot of research on various algorithms to recommend media that users prefer. Movies are divided into genres such as action, melodrama, horror, and drama, and the film's audio (music, sound effect, voice) is an important production element that makes up the film. In this research, based on movie trailers, we extract audio for each genre, check the commonalities of audio for each genre, distinguish movie genres through supervised learning of artificial intelligence, and propose a utilization method for generating metadata in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.277-280
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• 2021

Recently as various contents are mass produced based on high accessibility, the media contents market is more active. Users want to find content that suits their taste, and each platform is competing for personalized recommendations for content. For an efficient recommendation system, high-quality metadata is required. Existing platforms take a method in which the user directly inputs the metadata of an image. This will waste time and money processing large amounts of data. In this paper, for media hyperpersonalization recommendation, keyframes are extracted based on the YCrCb color model of the video based on movie trailers, movie genres are distinguished through supervised learning of artificial intelligence and In the future, we would like to propose a utilization plan for generating metadata.

• Smart Media Journal
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• v.13 no.6
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• pp.44-53
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• 2024

Companies in modern society are increasingly recognizing sentiment classification as a crucial task, emphasizing the importance of accurately understanding consumer opinions opinions across various platforms such as social media, product reviews, and customer feedback for competitive success. Extensive research is being conducted on sentiment classification as it helps improve products or services by identifying the diverse opinions and emotions of consumers. In sentiment classification, fine-tuning with large-scale datasets and pre-trained language models is essential for enhancing performance. Recent advancements in artificial intelligence have led to high-performing sentiment classification models, with the ELECTRA model standing out due to its efficient learning methods and minimal computing resource requirements. Therefore, this paper proposes a method to enhance sentiment classification performance through efficient fine-tuning of various datasets using the KoELECTRA model, specifically trained for Korean.

• School Mathematics
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• v.14 no.1
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• pp.65-83
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• 2012

The purpose of this study is to investigate development direction of a mathematics subject classroom. This study started with an analysis of previously conducted studies to investigate. After that, I selected and visited eight schools thatapplied the Mathematics subject classroom for interviews. Observations and interviews with math teachers were executed to figure out circumstances and operational status of the mathematics subject classroom. As the result of this research, the Mathematics subject classroom required various improvements in the facilities and the curriculum systems. Throughout this study, Isuggestedfive principles for teaching and learning. These principles are Creativity, Communication, Cooperation, Mathematical thinking and Problem solving. Furthermore, two subject classroom models for teaching and learning of mathematics - the cooperative learning room and the media room - were designed. These room required different resources and served distinct function.

• Journal of Digital Contents Society
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• v.11 no.3
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• pp.307-314
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• 2010

The demand for cyber education in Korea is constantly increasing and the need for research on online lecture on contents design that increases the learning effect is rising. In this research, the online lecture contents about the technical information type provided by Korea Cyber University was understood and we researched about the most preferred lecture type and the most effective lecture type in learning among the 1,173 students in Korea Cyber University who participated in this online survey. Also, we analyzed if the students' preference for the lecture type depended on their experience on that lecture type and we studied the students' claims postulated on the interface design of the lecture contents. The most preferred lecture type among students was e-Stream+flash and they answered that multi-media type lectures were the most effective lectures in learning. The majority of the students preferred lecture contents that they have experienced before and preferred the menu on the left side of the page in interface design. Not only the completeness, but the applications in design in lecture contents are also an important factor in online lectures. As the demand for cyber education in Korea is increasing, content design that can increase the academic performance should be further researched.

• Journal of Broadcast Engineering
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• v.23 no.3
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• pp.345-350
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• 2018

CNN (convolution neural network) has become the most popular artificial intelligence technique and shows remarkable performance in image classification task. In this paper, we propose a CNN-based classification method for various street images as well as a method of evaluating the safety score for the street. The proposed method consists of learning four types of street images using CNN and classifying input street images using the learned CNN model followed by evaluating the safety score. During the learning process, four types of street images are collected and augmented, and then CNN learning is performed. It is shown that learned CNN model classifies input images correctly and the safety scores are evaluated quantitatively by combining the probabilities of different street types.