• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.524-543
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• 2022

Correct facade image parsing is essential to the semantic understanding of outdoor scenes. Unfortunately, there are often various occlusions in front of buildings, which fails many existing methods. In this paper, we propose an end-to-end deep network for facade parsing with occlusions. The network learns to decompose an input image into visible and invisible parts by occlusion reasoning. Then, a context aggregation module is proposed to collect nonlocal cues for semantic segmentation of the visible part. In addition, considering the regularity of man-made buildings, a repetitive pattern completion branch is designed to infer the contents in the invisible regions by referring to the visible part. Finally, the parsing map of the input facade image is generated by fusing the results of the visible and invisible results. Experiments on both synthetic and real datasets demonstrate that the proposed method outperforms state-of-the-art methods in parsing facades with occlusions. Moreover, we applied our method in applications of image inpainting and 3D semantic modeling.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.431-441
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• 2013

The aim of this study is to reinterpret the image on a Korean tradition known as Bang-wee-shin-sang (an image of direction deity), and to revive the image into Jikimee (the guardian). In particular, this research re-analyzed the image and the symbol of Bang-wee-shin-sang and effectively designed the tradition to fit the modern living space. The theoretical study is to explore why it is necessary to redesign Bang-wee-shin-sang to accommodate modern living after examining the background and origin of typical Korean traditions such as Four Deity painting, Chinese Zodiac, and Four Kings' Painting. As a previous study, we examined the procedures of making Jikimee which was based on artists' works that utilized historical artifacts. The study indicated that Bang-wee-shin-sang is a vital resource to disseminate the unique characteristics of Korea and its tradition which played a role in linking the past and the present. Consequently, it is discussed that the utilization of modernized Jikimee in smart environment must be supported by foundation of academic system, the effort of academic and research link, and government funding policy.

• Journal of Fashion Business
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• v.22 no.6
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• pp.14-24
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• 2018

In this age of information, companies are losing grip of their image. Perhaps this explains the reason why corporate social responsibility (CSR) has become somewhat of a buzzword among established fashion industry leaders-companies seem determined to show stakeholders that they have values, are responsible, and they are driven by more by values than the prospects of financial gain. This study assessed the effect of CSR have in the fashion industry on the corporate image, product preference, and purchase intention in China. Three hundred native residents in China participated in an online survey from 1-12th Jan 2017. The results were as follows: (1) CSR consists of five components; economic responsibility, ethical responsibility, environmental protection, consumer protection, and philanthropic responsibility. (2) Both economic and ethical responsibilities have significant positive effects on corporate image, while perceived CSR does not have significant effect on product preference or purchase intention. (3) Consumers' product preference and perceptions regarding corporate image influence their intention on making a purchase. These findings might operationally assist Korean fashion corporations to identify and address the critical aspects of CSR management which will improve their image as good corporate citizens and foster favorable attitudes toward fashion products from China. Further results and direction of future research were discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.945-961
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• 2019

Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.

• Journal of Biosystems Engineering
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• v.43 no.2
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• pp.138-147
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• 2018

Purpose: A narrowband hyperspectral imaging sensor of high-dimensional spectral bands is advantageous for identifying the reflectance by selecting the significant spectral bands for predicting crop yield over the broadband multispectral imaging sensor for each wavelength range of the crop canopy. The images acquired by each imaging sensor were used to develop the models for predicting the Chinese cabbage yield. Methods: The models for predicting the Chinese cabbage (Brassica campestris L.) yield, with multispectral images based on unmanned aerial vehicle (UAV), were developed by simple linear regression (SLR) using vegetation indices, and forward stepwise multiple linear regression (MLR) using four spectral bands. The model with hyperspectral images based on the ground were developed using forward stepwise MLR from the significant spectral bands selected by dimension reduction methods based on a partial least squares regression (PLSR) model of high precision and accuracy. Results: The SLR model by the multispectral image cannot predict the yield well because of its low sensitivity in high fresh weight. Despite improved sensitivity in high fresh weight of the MLR model, its precision and accuracy was unsuitable for predicting the yield as its $R^2$ is 0.697, root-mean-square error (RMSE) is 1170 g/plant, relative error (RE) is 67.1%. When selecting the significant spectral bands for predicting the yield using hyperspectral images, the MLR model using four spectral bands show high precision and accuracy, with 0.891 for $R^2$, 616 g/plant for the RMSE, and 35.3% for the RE. Conclusions: Little difference was observed in the precision and accuracy of the PLSR model of 0.896 for $R^2$, 576.7 g/plant for the RMSE, and 33.1% for the RE, compared with the MLR model. If the multispectral imaging sensor composed of the significant spectral bands is produced, the crop yield of a wide area can be predicted using a UAV.

• International Commerce and Information Review
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• v.15 no.1
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• pp.185-206
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• 2013

Recent studies validate the idea that consumer judgment of products can affect consumer purchase intentions. Consumers judge products based on product quality, after sales satisfaction, and other visible values, but consumers also judge products on country-of-origin image, brand image and such intangible values. In this paper, we will examine consumer ethnocentrism and animosity, which are frequently responsible for country-of-origin prejudices, because the offending (i.e. exporting) nation has engaged in economic, political, or even military activities that the consumer finds difficult to forgive. The results of the study show a positive effect of product judgment on consumer purchase intentions, but consumer ethnocentrism and animosity negatively affect product judgment and consumer purchase intentions of foreign products. In the Chinese market, ethnocentric Chinese consumers have negative perceptions of foreign products with negative intentions to buy them. Chinese consumers have strong animosity for Japanese products, which negatively affect product judgments and purchase intentions to buy; therefore, Japanese corporations should increase cooperation with Chinese corporations. Conversely, for Korean companies, product judgment primarily affects consumers' intentions to buy; consequently, Korean companies should improve their product quality, after-sales satisfaction, brand image and other tangible aspects to improve consumer judgment.

• Korean Journal of Remote Sensing
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• v.35 no.3
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• pp.375-387
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• 2019

The use of drone-based hyperspectral image offers considerable advantages in high resolution remote sensing applications. The primary objective of this study was to select the optimal bands based on hyperspectral image for the estimation yield of the chinese cabbage. The hyperspectral narrow bands were acquired over 403.36 to 995.19 nm using a 3.97 nm wide, 150 bands, drone-based hyperspectral imaging sensor. Fresh weight data were obtained from 2,031 sample for each field survey. Normalized difference vegetation indices were computed using red, red-edge and near-infrared bands and their relationship with quantitative each fresh weights were established and compared. As a result, predominant proportion of fresh weights are best estimated using data from three narrow bands, in order of importance, centered around 697.29 nm (red band), 717.15 nm (red-edge band) and 808.51 nm (near-infrared band). The study determined three spectral bands that provide optimal chinese cabbage productivity in the visible and near-infrared portion of the spectrum.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.1-20
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• 2008

This study aims to identify factors affecting the purchase of Korean IT products in overseas markets. The empirical investigation on Chinese and Japanese, which are major overseas markets of Korean IT products and within Korean wave of influence, ascertains that they have had experiences in purchasing Korean IT products such as MP3, hand held phone, and digital camera. In addition, it was revealed that the country image of Korea and valuation of Korean IT products have been enhanced by Korean wave. The result of multiple regression analysis shows that the purchase of Korean IT products is dependent upon social influence, country image, product attributes, preference on Korean wave, and cultural influence. In the separated hypotheses test of China and Japan, the same factors are found to be significant variables affecting the purchase of Korean IT products but practicality, innovativeness, and norms of consumers are found to be significant only in Chinese market. These results imply what should be considered to expedite the export of Korean IT products. In particular, this study finds different factors affecting the purchase of Korean IT products in different countries.

• Journal of Fashion Business
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• v.4 no.1
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• pp.33-44
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• 2000

The purpose of this study is to research Miao ethnic costume which have been distinctly expressed differences according tribes and areas, present fashion design reflecting image of Miao ethnic costume. Two steps was taken in order to achive this purpose. The first step was to put in order formative characteristics of Miao ethnic costume being based on the Chinese books and domestic research materials. The second step was to study formative characteristics of Miao ethnic costume in comparison 2000A/W fashion trend, illustrate and schematize fashion designs. The results of formative characteristics of Miao ethnic costume are summarized as follows 1. X or H silhouette through skirt & jacket and pants & jacket. 2. Layered look that been twisted around several items. 3. Fine pleats skirts. 4. Refined and splendid color. Black was used main color, dark blue & red purple were used coordi color, vivid color were used accent color 5. Geometrical pattern, cross stitch embroidery. 6. Various ornaments being used silver. 7. Various hair styles and hairdressers. Using above characteristics, this study presneted fusion fashion design combined images of ethnic and techno with dark blue, mustard, blue purple. The target was Forties, professional woman.

• Journal of Contemporary Eastern Asia
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• v.21 no.2
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• pp.27-46
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• 2022

The purpose of this study is two-fold: first, to discuss the concept of health diplomacy and the Korean government's response to contain the COVID-19 pandemic; second, to assess and compare assumptions of variances about foreigners' perceptions of how Korea is leveraging digital technology in battling the coronavirus spread, and its vaccine campaign; through the lenses of Chinese, Filipino, and Pakistani foreign nationals who are currently living in Korea. A total of 219 foreigners responded to the survey. The collected data were analyzed as percentages, mean averages, t-test, and ANOVA for statistical analysis. Results show that Korea is utilizing its digital technology practices and vaccine campaign in battling the pandemic through efforts of health diplomacy. ANOVA indicated significant results and assumptions of variance across three ethnic groups showing the Pakistani population had higher mean scores than the Chinese and Filipino about Korea's health diplomacy during the pandemic. This study contributes to the literature on Korea's digital technology practices and vaccine campaigns amidst the COVID-19 pandemic by promoting its image through health diplomacy efforts. It projects the country's soft image on a global scale, to save the lives of locals and foreign nationals, by providing insights into health diplomacy in Korea.