• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.58
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• pp.41-47
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• 2000

Global(mega) event has increased throughout the 1990s, with the biggest surge occurring in the Asia-Pacific region. Along with this upward trend, competition for more desirable tourists is also surging, so destinations cannot be complacent (Getz, 1997). Event is appearing as the powerful method in the fierce competition around the industry. International events like 99 Hanam Environment Expo have been held annually in Korea since 1991 in which the local government system started. The main roles of event are to enhance the image of communities and attract tourists (Kotler and Haider and Rein, 1993), to strengthen destination attractiveness as drawing power (Mill and Morrison, 1985), and so on. Focused on the destination image, the research (Sirakaya and Sheppard and McLellan, 1997) about the effect of perceived safety at a potential vacation destination showed that destination marketers, travel agents, and hospitality industry members should be concerned with improving their images when such images are negative with regard to safety. Event industry in Korea does not seriously recognize the importance of the safety management against accidents known for tarnishing the destination images. Moreover few safety standards or studies for event industry can be found. This paper investigated the safety factors considered by visitors of 99 Hanam Environment Expo and analyzed the correlation between the safety factors and the demographic characteristics of the visitors.

• Journal of the Korean Society of Costume
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• v.60 no.4
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• pp.1-17
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• 2010

There had been studied for a function of fashion illustration that has various capability of differentiation among fashion products since year 2000. A fashion products adopted the illustration is stand out not only to increase the goods profits by consumers who is willing to purchase the products with specified identity but also to execute differentiation strategy in a market. The aim of this study is the theoretical approach of fashion illustration and examined the development process of the products based on the supporting documents of cooperations, other records and actual application cases. Also, expression techniques of fashion illustration, image features and etc. are mainly studied and following representative results are projected through the data. First, the success of fashion commercialization using fashion illustration should have mutual organic function which requires three factors such as product project, marketing, the role of illustration. Second, An illustration of hand drawing expression technique is more helpful in differentiation of fashion product than using computer graphic, embroidery, collage technique and the fashion products vividly expressed with sensuous illustration tend to have higher preference. Third, the possibility of success the fashion products is often affected by the distinct identification and the precise positioning while the illustration is used.

• The Journal of Korea Robotics Society
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• v.10 no.2
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• pp.70-78
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• 2015

The purpose of this study was to investigate how young children recognize the image of robots, and how they understand the relationship between themselves and robots based on school experience. 20 children from kindergarten A had no direct experience with educational robots, whereas 20 children from kindergarten B had experience in using educational robots in their classroom. Total 40 children from age group 5 class participated in this study. We collected data using interview and drawing test. The findings of the study are as follows: First, participating children recognized robots as having both the character of a machine and a human. But children with previous robot experience provided description of robots as a machine-tool. Both groups were not able to explain the structure of robots in details. Second, participating children understood that they can develop a range of social relationships with robots, including simple help to family replacement. There were mixed views on robots among the children with previous experience, but children with no experience described robots as taking the role of peers or family members. These findings could contribute to the development of robots and related programs in the field of early childhood education.

• Current Optics and Photonics
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• v.4 no.4
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• pp.317-325
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• 2020

Accurate estimation of spatial frequencies and phases for illumination patterns are essential to reconstructing super-resolution images in structured illumination microscopy (SIM). In this manuscript, we propose the improved component cross-correlation (ICC) algorithm, which is based on optimization of the cross-correlation values of the overlapping information between various spectral components. Compared to other algorithms for spatial-frequency and phase determination, the results calculated by the ICC algorithm are more accurate when the modulation depths of the illumination patterns are low. Moreover, the ICC algorithm is able to calculate the spatial frequencies and phases simultaneously. Simulation results indicate that even if the modulation depth is lower than 0.1, the ICC algorithm still estimates the parameters precisely; the images reconstructed by the ICC algorithm are much clearer than those reconstructed by other algorithms. In experiments, our home-built SIM system was used to image bovine pulmonary artery endothelial (BPAE) cells. Drawing support from the ICC algorithm, super-resolution images were reconstructed without artifacts.

• The Research Journal of the Costume Culture
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• v.29 no.5
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• pp.651-664
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• 2021

The purpose of this study is to first examine the relationship between appearance-enhancing beauty practices and feminism, and secondly, to analyze public images of contemporary women using this paradigm. Through the lens of this relationship, we present a literature review and empirical research focusing on the evolution of public image trends among girl groups, with special attention to the Refund Sisters, a South Korean supergroup currently drawing mainstream attention as female icons. The scope of analysis includes girl groups dating from the 1990's to the year 2020 and photos of the Refund Sisters. Our results indicate that firstly, free sexual expression is evident based on active use of sexuality; images contain bold demonstrations of females desire, expressions previously considered taboo. Secondly, we note deviations from more standardized female images, unique adornment of outward appearance, and rejection of normative female images through freer forms of self-presentation. Lastly, there is greater cultural and racial diversity, rejection of modern race and gender binaries, and increased representation of queer identities. However, the relationship between appearance-enhancing beauty practices and feminism is sometimes considered paradoxical, with some arguing that beautifying one's outward appearance is a compulsory strategy and that it should be rejected in order to resist aesthetic pressure.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.51.2-51.2
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• 2019

Multi-wavelength observations become very popular in astronomy. Even though there are some correlations among different sensor images, it is not easy to translate from one to the other one. In this study, we apply a deep learning method for image-to-image translation, based on conditional generative adversarial networks (cGANs), to solar images. To examine the validity of the method for scientific data, we consider several different types of pairs: (1) Generation of SDO/EUV images from SDO/HMI magnetograms, (2) Generation of backside magnetograms from STEREO/EUVI images, (3) Generation of EUV & X-ray images from Carrington sunspot drawing, and (4) Generation of solar magnetograms from Ca II images. It is very impressive that AI-generated ones are quite consistent with actual ones. In addition, we apply the convolution neural network to the forecast of solar flares and find that our method is better than the conventional method. Our study also shows that the forecast of solar proton flux profiles using Long and Short Term Memory method is better than the autoregressive method. We will discuss several applications of these methodologies for scientific research.

• Asian Journal for Public Opinion Research
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• v.12 no.2
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• pp.122-141
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• 2024

Drawing on mere exposure effect, we proposed that more exposure to a city, as measured by the number of channels of exposure, would increase familiarity, city image, and intention to visit that city. We conducted a survey of university students in seven Asian countries, asking them about a total of 14 cities, at least one from each of the surveyed countries. Exposure was found to be a significant antecedent and was most powerful when mediated by familiarity. Some types of exposure were stronger than others. Personal exposure, in the form of having visited a city or knowing someone who has, was the strongest type of exposure, with more than double the effect of media exposure. Social media, which is difficult to classify as either personal or media, was assessed separately and had a much smaller effect. The mere exposure effect exists whether the intention to visit a city is related to pleasure (tourism) or business.

• Journal of Distribution Science
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• v.22 no.8
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• pp.87-98
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• 2024

Purpose: This study aimed to examine the influence of private label cues, including store image, product design, price promotion, and origin image, on consumers repurchase intention by mediating consumption value from a distribution perspective. Additionally, it explored nationality's moderating role in the relationship between consumption value and repurchase intention. Research design, data and methodology: Drawing on the SOR model, data were collected from 246 consumers who had purchased private-label products in the past month. Structural equation modeling analysis was employed to test hypotheses using AMOS and SPSS. Results: Findings revealed that cues significantly impact consumers' perception of consumption value, influencing repurchase intention. Price promotion directly affected repurchase intention, while other cues indirectly influenced it through consumption value mediation. Nationality moderated the relationship between consumption value and repurchase intention, with Korean consumers showing a higher propensity to repurchase than Chinese consumers. Conclusions: Theoretical implications of the study contributed to understanding consumer behavior by confirming the impact of private label cues, elucidating their differential effects on repurchase intention, and integrating theoretical frameworks. Managerial implications underscored the significance of leveraging cues to enhance consumption value perceptions, tailoring marketing strategies to accommodate cultural nuances, and utilizing cues to bolster consumer repurchase intentions, ultimately enhancing distribution channel effectiveness.

• The Journal of Bigdata
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• v.7 no.1
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• pp.173-185
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• 2022

Nowadays, Korean webtoons are leading the global digital comic market. Webtoons are being serviced in various languages around the world, and dramas or movies produced with Webtoons' IP (Intellectual Property Rights) have become a big hit, and more and more webtoons are being visualized. However, with the success of these webtoons, the working environment of webtoon creators is emerging as an important issue. According to the 2021 Cartoon User Survey, webtoon creators spend 10.5 hours a day on creative activities on average. Creators have to draw large amount of pictures every week, and competition among webtoons is getting fiercer, and the amount of paintings that creators have to draw per episode is increasing. Therefore, this study proposes to generate webtoon background images using deep learning algorithms and use them for webtoon production. The main character in webtoon is an area that needs much of the originality of the creator, but the background picture is relatively repetitive and does not require originality, so it can be useful for webtoon production if it can create a background picture similar to the creator's drawing style. Background generation uses CycleGAN, which shows good performance in image-to-image translation, and CartoonGAN, which is specialized in the Cartoon style image generation. This deep learning-based image generation is expected to shorten the working hours of creators in an excessive work environment and contribute to the convergence of webtoons and technologies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.7
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• pp.1113-1119
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• 2002

In this paper, it was presented that broadly delivered scanner devices can also used in finger print recognition process and then modified existing steps of fingerprint image Processing. First, using the adaptive binary method, that effect was certified already, increased the effect of the results. And then, applying table mapping methods that looks for elements from look-up table, decreased the processing time, too. Finally, it was presented that ridge-direction characteristics extracted from these processes can used effectively In the area of fingerprint recognition system.