• Journal of Music and Human Behavior
• /
• v.21 no.2
• /
• pp.51-75
• /
• 2024

This case study aimed to develop a therapeutic rap protocol based on narrative components for improving discourse skills of adolescents with mild intellectual disability (ID) and to explore its applicability. The protocol matched narrative elements (background, initiating event, internal response, attempts, and reaction) with rap components (verse, hook, and interjections), guiding participants to narrate their experiences in a connected discourse form. The protocol was also structured to gradually increase in difficulty, considering the developmental levels of adolescents with ID and it included steps for understanding discourse structures, applying narrative elements to content creation, and expanding narratives. Post-intervention analysis of the stories and rap lyrics created by participants to express their real-life experiences showed that participants increased the length of their stories and rap compositions, with notable improvements in rhythmicity and the inclusion of narrative elements. These findings suggest that, instead of constructing rap from random utterances, providing a structured framework reflecting discourse structure enhanced participants' understanding of event context and logical connections. Furthermore, the various elements and rhythmic features of rap can strengthen motivation and organization in discourse. This study highlights the therapeutic potential of rap in addressing the unique developmental needs of adolescents with mild ID, thereby diversifying and systematizing music therapy interventions for this population.

• Journal of the Korea Computer Graphics Society
• /
• v.30 no.3
• /
• pp.149-158
• /
• 2024

Photo booths have traditionally provided a fun and easy way to capture and print photos to cherish memories. These booths allow individuals to capture their desired poses and props, sharing memories with friends and family. To enable diverse expressions, generative AI-powered photo booths have emerged. However, existing AI photo booths face challenges such as difficulty in taking group photos, inability to accurately reflect user's poses, and the challenge of applying different concepts to individual subjects. To tackle these issues, we present CINEMAPIC, a photo booth system that allows users to freely choose poses, positions, and concepts for their photos. The system workflow includes three main steps: pre-processing, generation, and post-processing to apply individualized concepts. To produce high-quality group photos, the system generates a transparent image for each character and enhances the backdrop-composited image through a small number of denoising steps. The workflow is accelerated by applying an optimized diffusion model and GPU parallelization. The system was implemented as a prototype, and its effectiveness was validated through a user study and a large-scale pilot operation involving approximately 400 users. The results showed a significant preference for the proposed system over existing methods, confirming its potential for real-world photo booth applications. The proposed CINEMAPIC photo booth is expected to lead the way in a more creative and differentiated market, with potential for widespread application in various fields.

• Journal of the Korea Computer Graphics Society
• /
• v.30 no.3
• /
• pp.23-41
• /
• 2024

Recently, various virtual avatar music content that showcases singing and dancing have been produced, and as virtual artists gain popularity, offline virtual avatar concerts have also emerged. However, there are few examples of virtual avatar band content where avatars play instruments. In addition, offline virtual avatar concerts using large screens at the front are limited in their ability to utilize the fantastical effects and high degree of freedom unique to virtual reality. In this paper, inspired by these limitations of virtual avatar music content, we introduce the production case of virtual avatar band content and immersive interactive concert of virtual band idol Verse'day. Firstly, we present a case study on creating band performance animations and music videos using motion capture systems and real-time engines. Then, we introduce a production case of an immersive interactive concert using projection mapping technology and a light stick that allows real-time interaction in an offline concert. Finally, based on these production cases, we discussed the future research directions of developing virtual avatar music content creation. We expect that our production cases will inspire the creation of diverse virtual avatar music content and the development of immersive interactive offline virtual avatar concerts in the future.

• Journal of Platform Technology
• /
• v.12 no.3
• /
• pp.16-26
• /
• 2024

Videos shot underwater are known to have significant color distortion. Typical causes are backscattering by floating objects and attenuation of red colors in proportion to the depth of the water. In this paper, we aim to analyze color correction performance and color distortion patterns for images taken underwater. Backscattering and attenuation caused by suspended matter will be discussed in the next study. In this study, based on the DeepSeeColor model proposed by Jamieson et al., we verify color correction performance and analyze the pattern of color distortion according to changes in water depth. The input images were taken in the US Virgin Islands by Jamieson et al., and out of 1,190 images, 330 images including color charts were used. Color correction performance was expressed as angular error using the input image and the correction image using the DeepSeeColor model. Jamieson et al. calculated the angular error using only black and white patches among the color charts, so they were unable to provide an accurate analysis of overall color distortion. In this paper, the color correction error was calculated targeting the entire color chart patch, so an appropriate degree of color distortion can be suggested. Since the input image of the DeepSeeColor model has a depth of 1 to 8, color distortion patterns according to depth changes can be analyzed. In general, the deeper the depth, the greater the attenuation of red colors. Color distortion due to depth changes was modeled in the form of scale and offset movement to predict distortion due to depth changes. As the depth increases, the scale for color correction increases and the offset decreases. The color correction performance using the proposed method was improved by 41.5% compared to the conventional method.

• Journal of the Korean Society of Earth Science Education
• /
• v.17 no.2
• /
• pp.102-122
• /
• 2024

The aim of the study is to explore how to approach the inherent value of nature, which is the main object of earth science education, beyond its instrumental value, which is its external usefulness. Above all, it is said to be an activity-based inherent value in the entire transfer process of the experiment, which includes psychological elements. At the core of environmental ethics is value and the utilitarian question of what is worth continuing. It is a matter of more than simply continuation. The answer is the sustainable value of the natural environment, an education that must preserve its beauty as an inherent value, that is, as a heritage value as a lover of life. Furthermore, the area of valuation must be upgraded from synchronic to diachronic ethical values, with sustainable values instead of intrinsic values. In environmental ethics, the intrinsic value that shows the beauty of knowledge itself is called bequest value. The study distinguished between a priori intrinsic value that ignores existing experience and intrinsic value that is experience-oriented and activity-oriented. In addition, the intrinsic value principle centered on activities was explored through scientific experiments in earth science education and Eratosthenes's earth size measurement experiment. The value principle according to the scientific worldview serves as the basis for value judgment. Above all, intrinsic value was being revealed through the active value experience of the experiment, in which aesthetic values were involved in the process of inferring the experiment results. As an educational implication, it should be value-education that helps us internally transfer intrinsic values rather than instrumental values, which are the basis for creating a sustainable society and nature.

• Journal of the Korean Applied Science and Technology
• /
• v.41 no.3
• /
• pp.666-672
• /
• 2024

Shadow puppetry (皮影戏) is a traditional Chinese folk art that was inscribed in 2011 as an Intangible Cultural Heritage of Humanity by UNESCO. This study focuses on analyzing the character sculptures, colors, and patterns recorded in professional books from Shanxi Province in northern China. The findings indicate that Shanxi shadow puppetry can be categorized into two types. The 'Xiaoyi' in northern Shanxi mainly features characters from the story of 'The Investiture of the Gods' (封神演义) and is characterized by the use of both intaglio and relief carving, dark colors, and a paper screen background. The 'Houma' shadow puppetry in southern Shanxi is influenced by the traditional Shanxi opera 'Jinju' (晋剧) and features four roles: Sheng (生), Dan (旦), Jing (净), and Chou (丑), using a mesh screen background. Shadow puppetry represents costumes, beliefs, lifestyles, social status, social systems, and Confucian culture from the Song, Ming, and Qing dynasties, utilizing both intaglio and relief elements, and traditional five-element colors(五行色). This study aims to understand the characteristics of the modeling art in Shanxi shadow puppetry, and to maintain the traditional craft features while adding innovative elements from animation and film, thereby promoting and preserving the traditional values of shadow puppetry culture for children and youth.

• The Korean Journal of Applied Statistics
• /
• v.37 no.4
• /
• pp.395-410
• /
• 2024

Text data is usually made up of a wide variety of unique words. Even in standard text data, it is common to find tens of thousands of different words. In text data analysis, usually, each unique word is treated as a variable. Thus, text data can be regarded as a dataset with a large number of variables. On the other hand, in text data classification, we often encounter class label imbalance problems. In the cases of substantial imbalances, the performance of conventional classification models can be severely degraded. To improve the classification performance of support vector machines (SVM) for imbalanced data, algorithms such as the Synthetic Minority Over-sampling Technique (SMOTE) can be used. The SMOTE algorithm synthetically generates new observations for the minority class based on the k-Nearest Neighbors (kNN) algorithm. However, in datasets with a large number of variables, such as text data, errors may accumulate. This can potentially impact the performance of the kNN algorithm. In this study, we propose a method for enhancing prediction performance for the minority class of imbalanced text data. Our approach involves employing variable selection to generate new synthetic observations in a reduced space, thereby improving the overall classification performance of SVM.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.5
• /
• pp.331-339
• /
• 2024

This study seeks to expand the jewelry market and overall development of the industry by understanding the fashion jewelry market and researching marketing strategies based on changes in market consumption. Looking at recent changes in the jewelry market, the number of new consumers (fashion jewelry buyers) has increased since 2014, leading to a recovery in purchases and strong sales. However, the decline in costs is prolonged, the focus on purchasing low-priced products is increasing, and there is a growing trend of purchasing products other than rings. Items are becoming more diverse, including bracelets and necklaces, and the popularity of imported products and brands is intensifying. Ultimately, the penetration of fashion jewelry and the growth of imported brands are expected to continue for a long time. The fashion jewelry market is a market that appears to have ample potential to grow into a larger market, filling the structural limitations of the jewelry market and providing consumer satisfaction in line with recent consumption trends. If so, We need to think about how to grow and develop this market, and We need to view it as a jewelry market in a broad sense, and it is a market that can serve as a bridgehead for the precious metal jewelry market to expand into the accessory market in the future. Therefore, it is necessary to create a jewelry market by utilizing the advantages of fashion jewelry, such as diversity of materials and expressions, price competitiveness, wide distribution channels and consumer accessibility, reflection of trends, and consumer awareness.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.5
• /
• pp.397-406
• /
• 2024

Today, in the field of contemporary fashion design, AI is being actively utilized as a new design tool, leading to a new paradigm of collaboration between designers and AI. This study is about a method for developing integrated fashion design through collaboration between human designers and AI. The purpose of this study is to analyze the visual and formative characteristics and changes of fashion design images generated using the AI generation program Midjourney, thereby expanding the understanding and utilization methods of AI image generation programs in fashion design development. The results of this study are as follows. First, Midjourney has the characteristic of relying more on the characteristics of the existing image used rather than the command when creating the image. It also creates new images by distributing and applying the design through an eclectic interaction between the costume and the image background. By excluding the names of fashion items from the commands, you can generate images that can give you more diverse ideas. Second, Midjourney initially expressed clothing colors using colors used in fashion schematics in color creation, and gradually expanded to various color series. Third, there is a kind of compromise between color and design when Midjourney creates an image, and accordingly, by specifying and limiting the image background and clothing colors, more diverse and advanced fashion design images can be created.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.5
• /
• pp.585-592
• /
• 2024

Recent Chinese animations emphasize the harmony between content and form, as well as the fusion of reality, emotion, and aesthetic ideals, through character designs that blend traditional cultural elements with modern aesthetic sensibilities. We have observed that this fusion has significantly contributed to the development of the Chinese animation industry. In particular, "Nezha: Birth of the Demon Child" stands out as an important example, where traditional character images are reinterpreted in a modern way, showcasing a unique artistic direction. In this study, we have conducted an in-depth analysis of the major characters in "Nezha: Birth of the Demon Child", focusing on their form, acting, and movement elements based on the theoretical foundation of traditional Chinese aesthetics.We explored how traditional Chinese costumes, totems, and painting styles were utilized in the design of the characters' forms, and discovered that these elements imparted a distinctive artistic quality. Furthermore, we found that the acting and movement elements were influenced by Chinese cultural practices, traditional theater, and martial arts, enriching the characters' motions and expressions. Through this research, we aim to highlight how Chinese animation integrates tradition and modernity, creating new artistic value, and establishing a unique competitive edge in the global animation market.