• Journal of Digital Convergence
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• v.19 no.2
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• pp.501-508
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• 2021

The purpose of this study is to qualitatively analyze the perceptions of aesthetic values of working women taking ballet fitness classes and to find ways to properly establish ballet fitness classes according to the opinions of the study participants. Participants in the study were 9 working women taking ballet fitness classes at local educational institutions, and FGI (Focus Group Interview) was conducted, and the interview was conducted based on a semi-structured questionnaire. Subsequently, the categorization content was derived through expert review and peer review. As a result, first, the study participants expressed their dissatisfaction, hoping that the ballet fitness class helped improve their daily enjoyment and pain, and even watched ballet performance with interest. Second, the participants of the study were actively publicizing the benefits of ballet fitness classes to their families and nearby acquaintances, and hoped that this exercise would help improve the difficult image of ballet. Based on this study, ballet fitness classes were expected to be sufficiently established as a hobby exercise for working women.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.1-9
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• 2022

UML class diagrams are used to visualize the static aspects of a software system and are involved from analysis and design to documentation and testing. Software modeling using class diagrams is essential for software development, but it may be not an easy activity for inexperienced modelers. The modeling productivity could be improved with a dataset of class diagrams which are classified by domain categories. To this end, this paper provides a classification method for a dataset of class diagram images. First, real class diagrams are selected from collected images. Then, class names are extracted from the real class diagram images and the class diagram images are classified according to domain categories. The proposed classification model has achieved 100.00%, 95.59%, 97.74%, and 97.77% in precision, recall, F1-score, and accuracy, respectively. The accuracy scores for the domain categorization are distributed between 81.1% and 95.2%. Although the number of class diagram images in the experiment is not large enough, the experimental results indicate that it is worth considering the proposed approach to class diagram image classification.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.87-99
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• 2024

This study aims to identify the competencies required for webtoon artists to survive in the future era of AI commercialization. It explores the current and future use of AI in webtoons, and predicts the role of artists in the future webtoon industry. The study finds that AI will replace human workers in some areas, but human empathy-related fields can be sustained. Artist roles like story projectors, Visual directors, and AI editors were identified as potential models for the changing role of artists. To address terminology ambiguity, a three-step AI categorization mechanical type AI, humanoid type AI, and transcendent type AI was proposed for a more realistic separation of AI capabilities. The researcher suggested these findings as guidelines for developing skills in emerging artists or re-skilling existing ones, emphasizing collaboration with AI for mutual growth rather than a negative acceptance of new technology.

• Cartoon and Animation Studies
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• s.41
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• pp.187-222
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• 2015

The quantitave increase and qualitative development in the game industry leads to bitter competition and makes game companies struggle to find better ways promoting their own games. The game trailer is one of the critical ways to publicize diverse games by showing visual images directly. There are three reasons why the game trailer comes into the spotlight these days; the rapid growth of the Internet speed handling the large size of files, the remarkable development of visual image quality just like digital movies, and the advent of video websites such as You Tube that shows huge amount of videos regardless of the type and size. However, there are not enough amount of research on the game trailer because using game trailers as the marketing source is still at an early stage. Therefore, this research focuses on providing characteristics of game trailers that are available for practical market analysis. First, this research shows that game trailers can be divided by the category of display, style, and contents type. Second, this research provides the component parts of game trailers that are divided into contents factors such as characters, backgrounds, events and promotional factors such as title, production company name, distribution company name. Third, this research explores research frames that would be needed to analyze marketing strategies, effects of game trailers, production pipelines and so on. These categorizations would be useful for producing game trailers efficiently and utilizing them effectively.

• Korean Journal of Radiology
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• v.22 no.11
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• pp.1764-1776
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• 2021

Objective: This study aimed to validate a deep learning-based fully automatic calcium scoring (coronary artery calcium [CAC]_auto) system using previously published cardiac computed tomography (CT) cohort data with the manually segmented coronary calcium scoring (CAC_hand) system as the reference standard. Materials and Methods: We developed the CAC_auto system using 100 co-registered, non-enhanced and contrast-enhanced CT scans. For the validation of the CAC_auto system, three previously published CT cohorts (n = 2985) were chosen to represent different clinical scenarios (i.e., 2647 asymptomatic, 220 symptomatic, 118 valve disease) and four CT models. The performance of the CAC_auto system in detecting coronary calcium was determined. The reliability of the system in measuring the Agatston score as compared with CAC_hand was also evaluated per vessel and per patient using intraclass correlation coefficients (ICCs) and Bland-Altman analysis. The agreement between CAC_auto and CAC_hand based on the cardiovascular risk stratification categories (Agatston score: 0, 1-10, 11-100, 101-400, > 400) was evaluated. Results: In 2985 patients, 6218 coronary calcium lesions were identified using CAC_hand. The per-lesion sensitivity and false-positive rate of the CAC_auto system in detecting coronary calcium were 93.3% (5800 of 6218) and 0.11 false-positive lesions per patient, respectively. The CAC_auto system, in measuring the Agatston score, yielded ICCs of 0.99 for all the vessels (left main 0.91, left anterior descending 0.99, left circumflex 0.96, right coronary 0.99). The limits of agreement between CAC_auto and CAC_hand were 1.6 ± 52.2. The linearly weighted kappa value for the Agatston score categorization was 0.94. The main causes of false-positive results were image noise (29.1%, 97/333 lesions), aortic wall calcification (25.5%, 85/333 lesions), and pericardial calcification (24.3%, 81/333 lesions). Conclusion: The atlas-based CAC_auto empowered by deep learning provided accurate calcium score measurement as compared with manual method and risk category classification, which could potentially streamline CAC imaging workflows.

• Journal of Korean Home Economics Education Association
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• v.32 no.2
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• pp.159-178
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• 2020

This study aimed at exploring male home economics(HE) teachers' identities through narrative inquiry. Considering experiences of HE teachers and diversity in regions, twelve male teachers were chosen, and in-depth interviews were conducted between June 1st and July 31st, 2019. The transcription of the data was transferred to the Hancom Office Hangeul 2010 while the researcher listened to the recordings of the interviews. The total amount of transcription data was 174 pages, and the data were analyzed through open coding, categorization, and category verification. The themes identified as results of this study were as follows: First, 'Coincidence: Breaking the Wall of Prejudice' is related to the experiences that have a great influence on the formation of identity as a male HE teacher: motivation to enter the HE department, educational practice, etc. Through this, the experience of becoming a male HE teacher was recorded. Second, 'Facing: Surviving as a male HE Teacher' captures the current story of male HE teachers and the perspectives of their fellow teachers, family, and friends about male HE teachers. In this section, male HE teachers showed how HE classes and assessments, and their experiences in their lives, influenced their identities. Third, 'Expectations: Growing as a HE teacher' is a story about the future of male HE teachers. The ideal teacher image pursued by male HE teachers was a practical teacher. They hoped that in 10 or 20 years, they would have smooth and professional relationship with students. They advise prospective male HE teachers to become a competent HE teacher regard less of their gender. The significance of this study is that it broke the stereotype of 'HE teachers should be female' and expanded the horizon of HE education by exploring the identities of male HE teachers.