• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.321-326
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• 2023

Interculturalism presents a philosophy for understanding cultural differences in the multicultural era and for resolving various conflicts that may arise from intercultural differences. While multiculturalism focuses on the coexistence of diverse cultures, interculturalism seeks active interaction between different cultures. We study the hit drama <Crash Landing on You> as an example of media literacy for intercultural education. We will discuss cultural differences and interculturalism in dramas, and analyze aspects of intercultural dialogue specifically. Through this, we would like to consider that this drama is an effective media text of intercultural education.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.945-962
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• 2022

This study examines the use of traditional patterns by new Hanbok brands. A Saekdong print pattern based on previous research was developed and applied to clothing designs. A total of 488 images of printed products from the seven new Hanbok brands and 219 images from the collections of the National Folk Museum of Korea were analyzed. Traditional patterns accounted for 47.4% of the total printed products of the new Hanbok designs, with the following ratio of use, in descending order: flower patterns, traditional paintings, animals, geometrical designs, Dancheong, text and others, Jogakbo, and Saekdong. Saekdong was found in three brand products, and the color or shape was modified. To develop the Saekdong image, five colors - red, yellow, blue, white, and green - were selected. The ratio of use for each color and the width of each color were determined with reference to previous studies. The average color value was determined through color analysis of the Saekdong collections. A total of seven items were designed for the print pattern, and four items were added for coordination to consist of four styles. This study aims to use the results of this analysis to provide insights into product development using traditional patterns.

• The Journal of Information Systems
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• v.32 no.2
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• pp.87-108
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• 2023

Purpose The main purpose of this study is to improve fake news detection performance by using video information to overcome the limitations of extant text- and image-oriented studies that do not reflect the latest news consumption trend. Design/methodology/approach This study collected video clips and related information including news scripts, speakers' facial expression, and video metadata from YouTube to develop fake news detection model. Based on the collected data, seven combinations of related information (i.e. scripts, video metadata, facial expression, scripts and video metadata, scripts and facial expression, and scripts, video metadata, and facial expression) were used as an input for taining and evaluation. The input data was analyzed using six models such as support vector machine and deep neural network. The area under the curve(AUC) was used to evaluate the performance of classification model. Findings The results showed that the ACU and accuracy values of three features combination (scripts, video metadata, and facial expression) were the highest in logistic regression, naïve bayes, and deep neural network models. This result implied that the fake news detection could be improved by using video information(video metadata and facial expression). Sample size of this study was relatively small. The generalizablity of the results would be enhanced with a larger sample size.

• Journal of English Language & Literature
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• v.56 no.4
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• pp.617-635
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• 2010

This paper argues that what Edgar Allan Poe pursues in ;The Man of the Crowd" (1840) is not a story that can be told but an active reading that must be mediated. It is not only because the subject of the pursuit, the secret of the flaneur, remains veiled until the end, but also because the story proves itself to be a reading of various kinds of other texts: that is, the contemporary urban texts as well as the city itself. Although the 'man of the crowd' and his double (i.e. the narrator) embrace the figure of a modern flaneur, it is highly questionable whether the image of flaneur in the story fully qualifies itself as that of an ideal stroller, who can represent the free spirit of a detached collector. Rather, the narrator's flaneur reflects a panoptic perspective, systematically hierarchizing the constituents of the city. Still, it should be noted that ;The Man of the Crowd" raises questions about the idea of creation and appropriation, observation and originality, and reading and storytelling by ascertaining the impossibility of reading and through assimilating to the contemporary texts not without subtle acknowledgement. In short, this novella tries a new way of storytelling, of which meaning is not to be found in creation but to be mediated in modern experiences.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.287-293
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• 2023

With the rapid development of domestic and international over-the-top markets, a large amount of video content is being created. As the volume of video content increases, consumers tend to increasingly check data concerning the videos before watching them. To address this demand, video summaries in the form of plot descriptions, thumbnails, posters, and other formats are provided to consumers. This study proposes an approach that automatically generates posters to effectively convey video content while reducing the cost of video summarization. In the automatic generation of posters, face recognition and clustering are used to gather and classify character data, and keyframes from the video are extracted to learn the overall atmosphere of the video. This study used the facial data of the characters and keyframes as training data and employed technologies such as DreamBooth, a text-to-image generation model, to automatically generate video posters. This process significantly reduces the time and cost of video-poster production.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.127-132
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• 2024

With the rapid evolution of the Internet, the application of artificial intelligence fields is more and more extensive, and the era of AI has come. At the same time, adversarial attacks in the AI field are also frequent. Therefore, the research into adversarial attack security is extremely urgent. An increasing number of researchers are working in this field. We provide a comprehensive review of the theories and methods that enable researchers to enter the field of adversarial attack. This article is according to the "Why? → What? → How?" research line for elaboration. Firstly, we explain the significance of adversarial attack. Then, we introduce the concepts, types, and hazards of adversarial attack. Finally, we review the typical attack algorithms and defense techniques in each application area. Facing the increasingly complex neural network model, this paper focuses on the fields of image, text, and malicious code and focuses on the adversarial attack classifications and methods of these three data types, so that researchers can quickly find their own type of study. At the end of this review, we also raised some discussions and open issues and compared them with other similar reviews.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.282-297
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• 2023

One of the emerging trends in the marketing field is digital video marketing. Online videos offer rich content typically containing more information than any other type of content (e.g., audible or textual content). Accordingly, previous researchers have examined factors influencing videos' popularity. However, few studies have examined what causes a video to remain popular. Some videos achieve continuous, ongoing popularity, while others fade out quickly. For practitioners, videos at the recommendation slots may serve as strong communication channels, as many potential consumers are exposed to such videos. So,this study will provide practitioners important advice regarding how to choose videos that will survive as long-lasting favorites, allowing them to advertise in a cost-effective manner. Using deep learning techniques, this study extracts text from videos and measured the videos' tones, including factual and emotional tones. Additionally, we measure the aesthetic score by analyzing the thumbnail images in the data. We then empirically show that the cognitive features of a video, such as the tone of a message and the aesthetic assessment of a thumbnail image, play an important role in determining videos' long-term popularity. We believe that this is the first study of its kind to examine new factors that aid in ensuring a video remains popular using both deep learning and econometric methodologies.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.3
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• pp.576-595
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• 2024

Bracelets have enjoyed extensive use among the Chinese since antiquity as decorative pieces credited with warding off evil forces and inviting auspicious fortune. This study aims to integrate traditional cultural elements, such as Yuan blue and white porcelain flower patterns, into modern design using 3D printing technology to create culturally inspired bracelets. To this end, bracelet designs from the top four museums on Taobao were examined. In addition, we analyzed online reviews of culturally themed bracelets using text mining and applying FEA criteria and found that Chinese consumers are easy to wear and sizable, enhance cultural pride, and drive the demand for artistically sophisticated bracelets. The research culminates in the development of a modular bracelet design inspired by flower motifs from blue and white ware of the Yuan dynasty, with an emphasis on iterative improvements based on reviewer feedback. The final design meets consumers' expressive and aesthetic needs while also maintaining cultural integrity and functionality. The aim of the study is to inspire pride in traditional culture, provide insights for fashion accessory industries, and promote the national image through the development of culturally inspired products.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.494-496
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• 2024

현재 소프트웨어 산업에서 자연어 요구사항의 정확한 분석 연구는 활발히 진행되고 있다. 그러나, 문법적인 분석만을 통해 해석하는 것이 일반적이다. 본 연구는 요구공학과 언어학 그리고 카툰 공학을 접목을 제안한다. 이를 위해서, 1) 언어학적 관점에는 촘스키의 구문 구조 분석 이론과 필모어의 의미역 이론을 결합하여 문법적, 의미적 분석을 수행한다. 2) 요구공학 관점에서는 요구사항 분석으로 상태 모델 속성 추출 및 접목한다. 3) 카툰 공학에서는 3D 이미지 생성한다. 또한, 해결 못했던 동사와 형용사에 대해 분석하여 범위를 확장한다. 즉 언어학적 분석을 바탕으로 UML 상태 다이어그램을 추출하고, 이를 3D 상태 이미지 생성한다. 본 연구는 AI 기술(Text to Image)에 소프트웨어 공학적 방법에서의 절차적인 공정과 재사용 적용함으로써, AI 내부 작동 원리에 대해 체계적으로 연구하고자 한다.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1332-1344
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• 2004

Upon development of information super-highway and multimedia-related technoiogies in recent years, more efficient technologies to transmit, store and retrieve the multimedia data are required. Among such technologies, firstly, it is common that the semantic-based image retrieval is annotated separately in order to give certain meanings to the image data and the low-level property information that include information about color, texture, and shape Despite the fact that the semantic-based information retrieval has been made by utilizing such vocabulary dictionary as the key words that given, however it brings about a problem that has not yet freed from the limit of the existing keyword-based text information retrieval. The second problem is that it reveals a decreased retrieval performance in the content-based image retrieval system, and is difficult to separate the object from the image that has complex background, and also is difficult to extract an area due to excessive division of those regions. Further, it is difficult to separate the objects from the image that possesses multiple objects in complex scene. To solve the problems, in this paper, I established a content-based retrieval system that can be processed in 5 different steps. The most critical process of those 5 steps is that among RGB images, the one that has the largest and the smallest background are to be extracted. Particularly. I propose the method that extracts the subject as well as the background by using an Image, which has the largest background. Also, to solve the second problem, I propose the method in which multiple objects are separated using RGB channel selection techniques having optimized the excessive division of area by utilizing Watermerge's threshold value with the object separation using the method of RGB channels separation. The tests proved that the methods proposed by me were superior to the existing methods in terms of retrieval performances insomuch as to replace those methods that developed for the purpose of retrieving those complex objects that used to be difficult to retrieve up until now.