• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.28-36
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• 2022

This study analyzed 284 K-pop song and dance cover short-form videos recreated by Chinese influencers uploaded on TikTok, to explore which reform factors of image similarity, language similarity, the extent of audience participation leading, the extent of lyrics or subtitles translated into Chinese, PPL disclosure, the length of video and the reputation of influencer affected Chinese TikTok audiences' reactions - number of "Likes," "Comments" and "Shares." The results showed that only the "reputation of influencer" was significantly affected the number of "Likes" which estimated as a relatively passive response, but the other factors affected the number of "Comments" and "Shares" significantly which estimated as more active responses. The more an influencer is perceived as not similar to the singer in terms of image the more comments were posted. And the videos expressed in Korean archived more comments and shares than those lyrics or subtitles translated into Chinese. This study is meaningful in that it confirmed the necessity of influencers in the globe diffusion of K-pop, by specifically analyzing the audience's reactions according to the characteristics of UCCs created by local influencers using short-form video platforms.

• Current Optics and Photonics
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• v.3 no.4
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• pp.320-328
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• 2019

A method for joint-transform correlator (JTC) multiple-image encryption based on a quick-response (QR) code key is proposed. The QR codes converted from different texts are used as key masks to encrypt and decrypt multiple images. Not only can Chinese text and English text be used as key text, but also symbols can be used. With this method, users have no need to transmit the whole key mask; they only need to transmit the text that is used to generate the key. The correlation coefficient is introduced to evaluate the decryption performance of our proposed cryptosystem, and we explore the sensitivity of the key mask and the capability for multiple-image encryption. Robustness analysis is also conducted in this paper. Computer simulations and experimental results verify the correctness of this method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.1064-1079
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• 2019

Information security has become increasingly important with the rapid development of mobile devices and internet. An efficient encryption system is a key to this end. In this paper, we propose an image encryption method based on the cross diffusion of two chaotic maps. We use two chaotic sequences, namely the Logistic map and the Chebyshev map, for key generation which has larger security key space than single one. Moreover, we use these two sequences for further image encryption diffusion which decreases the correlation of neighboring pixels significantly. We conduct extensive experiments on several well-known images like Lena, Baboon, Koala, etc. Experimental results show that our algorithm has the characteristics of large key space, fast, robust to statistic attack, etc.

• 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.