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빅데이터를 활용한 COVID-19 전후 한복 이미지 인지 속성 의미구조 분석에 관한 연구
배한이,이신영 한국복식학회 2023 服飾 Vol.73 No.5
This research used big data to investigate the cognitive attributes of hanbok, a traditional Korean clothing, before and after the COVID-19 pandemic and analyzed their semantic structures. The findings are as follows: First, a word cloud and TF-IDF analysis of the conscious cognitive attributes before the pandemic showed that there was an increase in the attributes in the functional dimension of hanbok after the pandemic compared to before. Second, to examine the semantic structure of hanbok image cognition attributes in more detail, an analysis of the semantic networks and a CONCOR analysis of the words used before and after the pandemic were conducted, which revealed changes in the semantic structure of how hanbok is perceived. Moreover, after the pandemic, there was a weakening of the cognitive attributes related to hanbok as a traditional ceremonial attire, including wedding hanbok. Conversely, the attributes related to hanbok recognition, policies, and culture expanded, indicating a shift in the perception of the clothing. Finally, the importance of the policies aimed at promoting hanbok and various hanbok-wearing cultures isexpectedtoincrease. Furthermore, as the influence of K-culture grows, the impact of popular culture on hanbok recognition is also expected to increase. Overall, this research provides insights into the development and transformation of the hanbok industry through various perspectives, contributing to its understanding. In particular, the detailed research results of the CONCOR analysis of not only the most frequently used words but also the mid- and low-frequency words are expected to provide a foundational resource for future research and policy development in this context.
한복 디자인 인지 속성 요인으로써 모델 활용 경향에 관한 연구
이신영,배한이 한국복식학회 2023 服飾 Vol.73 No.3
The objective of this study is to investigate the prevalent trends and styles in popular Hanbok designs before the onset of the COVID-19 pandemic. Additionally, it seeks to analyze the trend in the choice of fashion models as a crucial factor in shaping the perception of the Hanbok image in order to provide basic materials for Hanbok design planning. The findings of this study are as follows. First, based on the frequency analysis of Hanbok designs in the overall materials, the results indicate that both traditional and fashion Hanbok have a similar frequency. However, an analysis of the types of Hanbok designs in materials by year reveals that there has been a recent decrease in the rate of traditional Hanbok, while the rate of fashion Hanbok is on the rise. This trend suggests that the fashion Hanbok market is becoming increasingly important in addition to the traditional Hanbok market within the Hanbok industry. Second, the frequency of male and kid models was found to be lower than that of adult female models. This suggests that there is a significant potential for the Hanbok market to expand into the male and kids’ demographic in the industry. Third, the selection of fashion models is considered a significant factor in shaping the perception of the Hanbok image, reflecting changes in attitudes and sensibilities towards Hanbok. Interestingly, the selection of fashion models varies depending on the type of Hanbok design. For instance, white models tend to represent the image of cultural exchange when wearing traditional Hanbok; the image of going global when wearing modernized Hanbok; and the image of luxury and diversity when wearing fashion Hanbok. On the other hand, black models were selected solely to showcase fashion Hanbok, with the intent to demonstrate multicultural inclusion and a more casual sensibility in terms of its activity and functionality. Lastly, the Hanbok industry is currently experiencing a change and hybrid trend in various contexts and meanings associated with Hanbok. While some people are interested in Hanbok as a tradition and a historical responsibility, such as genderless and street fashion, are emerging in terms of design concepts as the fashion Hanbok market expands.
다구찌법을 이용한 정면 충돌 센싱 성능 향상에 관한 연구
김범진,이승근,배한일 한국자동차공학회 2008 한국 자동차공학회논문집 Vol.16 No.2
The purpose of the current paper is to optimize the FIS position in order to prevent airbag from malfunctioning due to inaccuracy of airbag sensibility during frontal and offset vehicle collision at various velocities. In this paper, the frontal and offset crash models using finite elements are firstly constructed for the 12mile frontal versus 25mile offset crash, and 18mile frontal crash versus 40mile offset crash. Then, the parameter design scheme of Taguchi method is used to obtain the robust optimal position of the FIS. As a result, the robust optimal position of the FIS which is installed in the carrier upper member of FEM is suggested considering the noise effect such as the vehicle weight, strength and stiffness of front side member and bumper back beam. Moreover, it is shown that discrimination of crash pulse as regards the various frontal crash modes above mentioned is enhanced dramatically for the air bag deployment. Current paper will contribute in various technologies - minimize cost and the number of real tests for airbag sensing, reducing the target period for regulation and product development, and prevention for PL(Product Liability) - providing solution for uncertainty of airbag activation under various collision situations.
이근배(Keun Bae Lee),배한일(Han Il Bae),이인혁(In Hyuk Lee),최형연(Hyung Yun Choi) 대한기계학회 2005 대한기계학회 춘추학술대회 Vol.2005 No.11
Head/Brain injury suffered from traffic accident has been usually assessed by HIC, Head Injury Criterion. HIC was formulated based on the statistical data of acceleration pulse applied to head and its injury outcomes. Because of the limited feature of HIC, it is known that there exists significant disagreement between prediction and actual occurrence of the injury. Human brain models with anatomical details have been adopted in this study in order to improve the understanding of head/brain injury mechanism. Contrary to the crash dummy, human body models provides additional injury measures such as CSDM, RMDM, DDM which are closely correlated with more physiological head/brain injuries. Three cases of head/brain injury analysis, free motion head form, side impact, and pedestrian impact have been selected to exhibit the application of human body models into the practical vehicle design process. The injury predictions obtained from human body models were then comparatively investigated for more bio-fidelic assessment of head/brain damage.