• Asia-Pacific Journal of Business
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• v.8 no.1
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• pp.79-93
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• 2017

The image of Korean products in the US market and attitudes toward Korean companies and brands have very high purchasing value, but there are many doubts about the image of Korea. However, previous studies have shown that national image, product image, and brand attitude have a positive effect on consumers' purchase intention. The purpose of this study is to analyze the effect of Korean image and Korean brand image on purchasing Korean products in North Texas area. As a result of this study, the effect of the national image on Korean corporate image was not significant, and the effect of the national image on Korean brand image was not significant. However, the effect of the corporate image, purchase intention, brand image, and purchase intention is significant. In this study, US consumers do not perceive the correlation between Korean national image, Korean corporate image and brand image, and it is analyzed that Korean products are purchased mostly because of corporate image and brand image.

• Journal of Navigation and Port Research
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• v.28 no.9
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• pp.821-825
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• 2004

The purpose of this study is the assessment of changes in the leisure patterns of users of the Eulsook-do before and after the estuary dike construction. The following survey research method was conducted to implement the study, sampling by age was carried out selectively and randomly alike. A total of 319 persons were chosen for final analysis, excluding questionnaires answered found to be inappropriate. To measure the image of the lower Nakdong River around the Eulsook-do, with advice sought from experts, researchers, through several pilot tests, developed a 24-item semantic differential scale(SDS) that has two bi-polar adjectives at each end Study of the pre- and post- construction images of the Eulsook-do located on the coast of Busan suggests the dike construction has brought about negative changes in the Eulsook-do's overall image. There can be two alternatives for improving the negative image: restoration and development.

• International Commerce and Information Review
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• v.8 no.4
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• pp.231-254
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• 2006

This article is intended to investigate how the Japanese consumers have changed the country image on Korea, the evaluation toward products manufactured by Korea and the willingness to buy Korean products through the experience of Korean Wave. So the country image, the evaluation and the willingness were compared between the before and after experiencing Korean Wave The empirical result said that during the span of Korean Wave the country image and the evaluation have improved, but the intentions to purchase Korean products are still not positive in Japan. So an additional analysis was made to find the reason of the unwillingness to buy Korean products. Although they regard Korean products as qualitatively good against price, they seldom know Korean brand, hardly watch korean product's advertisement. Especially the intentions to purchase Korean products in durable goods was lower than in consuming goods.

• International Journal of Advanced Culture Technology
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• v.4 no.4
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• pp.23-29
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• 2016

In this paper, the learning technique for CNN processor on vehicle is proposed. In the case of conventional CNN processors, weighted values learned through training are stored for use, but when there is distortion in the image due to the weather conditions, the accuracy is decreased. Therefore, the method of enhancing the input image for classification is general, but it has the weakness of increasing the processor size. To solve this problem, the CNN performance was improved in this paper through the learning method of the distorted image. As a result, the proposed method showed improvement of approximately 38% better accuracy than the conventional method.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.173-177
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• 2018

Masks are generated by adding different fonts of learning data characters in pixel unit, and pixel values belonging to each of the masks are divided into 3 groups. Using the directional expansion operators, we expand the text area of the test data character into 4 diagonal directions in order to create the boundary areas to distinguish it from the background area. A mask with a minimum average discordance is selected as the final recognition result by calculating the degree of discordance between the expanded test data and the masks. Image comparison using directional expansion operations more accurately recognizes test data through 4 subdivided recognition processes. It is also possible to expand the ranges of 3 groups of pixel values of masks more evenly such that new fonts can easily be added to the given learning data.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.142-150
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• 2018

This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

• International Commerce and Information Review
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• v.9 no.2
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• pp.141-160
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• 2007

Though the brand management of trade shows are increasingly important, there are few studies with this theme. This research studies what factors have an effect on the brand loyalty of trade shows. To this purpose, we conduct empirical study on the relationship among perceived quality, perceived value, image of the trade show with attendee's satisfaction and loyalty of trade show. The results of this study are as follows: (1) Perceived quality has a direct effect on perceived value and satisfaction of trade show and indirect effect on attendee's loyalty of the trade show. (2) Perceived value has a direct effect on attendee's satisfaction and indirect effect on attendee's loyalty of the show. (3) Trade show image has a direct effect on perceived value, attendee's satisfaction and loyalty of the trade show. Especially, image has the greatest effect on attendee's satisfaction and loyalty of the show. This means that the trade show image a critical variable in the brand management of the show.

• Journal of International Society for Simulation Surgery
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• v.1 no.2
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• pp.67-70
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• 2014

3-D medical image reconstruction technique using computer simulation technology has been used in the knowledge of the anatomical features and the biomechanical characteristics with the advancement of computer hardware and software. Especially, the use of 3-D image reconstruction technique in orthopaedics demonstrates that this technique is useful to improve surgical technique as well as to help inform the knowledge of shoulder joint anatomy. The purpose of this article is to introduce the utilization of 3-D image technology in shoulder surgeries.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.227-237
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• 2019

In this paper, we have developed a Retina Healthcare Service System through which the patient himself/herself can manage his/her retina health. In the case of conventional portable ophthalmic cameras, patients cannot check their eye health on their own because most of them are used by doctor in environments where ophthalmography cannot be performed properly. This system consists of web, app and camera modules, and when a patient mounts a camera module for fundus photography on his / her smart phone and then photographs his / her fundus through the app, the image is transmitted to a server, and the transmitted image reads the fundus the patient's fundus image status in the fundus image reading model learned using deep learning. When the doctor expresses his/her opinions about the patient 's eye condition based on the reading result and the fundus photograph, the patient can check through the app and judge whether to receive ophthalmologic treatment.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.229-234
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• 2020

Dehazing significantly improves image quality by restoring the loss of contrast and color saturation for images taken in the presence. However, when applied to images not taken according to the prior information, dehazing can cause unintended degradation of image quality. To avoid unintended degradations, we present a hazy scene detection algorithm using a single image based on the distributions of hue, saturation, and dark channel. Through a heuristic approach, we find out statistical characteristics of the distribution of hue, saturation, and dark channels in the hazy scene and make a detection model using them. The proposed method can precede the dehazing to prevent unintended degradation. The detection performance evaluated with a set of test images shows a high hit rate with a low false alarm ratio. Ultimately the proposed method can be used to control the effect of dehazing so that the dehazing can be applied to wide variety of images without unintended degradation of image quality.