• International Area Studies Review
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• v.15 no.1
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• pp.315-339
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• 2011

As the Korean economy grows, the brand value of Korean companies such as Samsung, LG and Hyundai Motor has been elevated greatly. Compared to the brand value of Korean companies, Korea's national image is very lowly ranked. In addition Korea's national brand is undervalued compared to economic volume. So, the purpose of this study is to find way to enhance the Korea's national brand in Japanese Market through brand credibility. The results as follows. First, this study find that brand credibility is consist of expertise and trustworthiness in Japanese market. Second Korea national image positive impact on brand credibility. Third, brand credibility positive impact on perceived quality and information cost saving. Finally, brand credibility negative impact on perceived risk. In conclusion, all hypothesis are significant. So these results are very useful to Korea government and Korean companies.

• Asia Marketing Journal
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• v.9 no.2
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• pp.131-163
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• 2007

Recently, the importance of 'character' is widely acknowledged by practitioners and academic arena. Character is the archetype of design product. Unfortunately, however, there have been limited character design studies. The purpose of this study is to identify the components of character design and then to verify the causal relationships among them. The research model of the current study is developed based upon the past studies on the consumer response model related to the product design. The result of the study shows that the dimensions of character design are converged into upper dimensions, including such as character appearance, character image, and character attachment with each lower dimensions, respectively. An analysis of relationship among these variables indicates that while the character appearance tends to trigger character image, the character image leads to character attachment. In addition, both the character image and the character attachment have a positive influence on the loyalty of the character. Understanding of the paths among consumers' responses will be able to be a good guideline for establishing character design strategy. And, finally, the authors discuss some theoretical contributions and managerial implications.

• Journal of Internet of Things and Convergence
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• v.7 no.3
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• pp.15-22
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• 2021

The purpose of this study is to identify the factors that influence the nursing students' nurse image and professional self-concept on career exploration. This study was accomplished on 153 students in the 2nd, 3rd and 4th grades of the Department of Nursing Science at a college in area Y, and data were collected from July 1 to August 31, 2020 using a structured questionnaire. Measurement tools consisted of nurse image, professional self-concept, and career exploration behavior. Data processing was performed using the SPSS 22.0 program where general characteristics were analyzed by t-test, ANONA and post examination tests by Scheffe's test, using mean score, standard deviation, Pearson's correlation, and stepwise multiple regression. Nursing students' nurse image, professional self-concept, and career exploration behavior were all found to have significant positive correlations, and the most influential variable was professional self-concept. As for the total explanatory power of these variables, model 2 showed 25% explanatory power, which was increased by 2% compared to model 1. Based on this result, it is necessary to develop education and a career exploration action program which can improve the nurse image and professional self-concept.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.15-22
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• 2019

In this paper, we proposed a Hangeul detection method using structural features of histogram, consonant, and vowel to solve the problem of Hangul which is separated and detected consonant and vowel The proposed method removes background by using DoG (Difference of Gaussian) to remove unnecessary noise in Hangul detection process. In the image with the background removed, we converted it to a binarized image using a cumulative histogram. Then, the horizontal position histogram was used to find the position of the character string, and character combination was performed using the vertical histogram in the found character image. However, words with a consonant vowel such as '가', '라' and '귀' are combined using a structural characteristic of characters because they are difficult to combine into one character. In this experiment, an image composed of alphabets with various backgrounds, an image composed of Korean characters, and an image mixed with alphabets and Hangul were tested. The detection rate of the proposed method is about 2% lower than that of the K-means and MSER character detection method, but it is about 5% higher than that of the character detection method including Hangul.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.938-942
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• 2009

브랜드 이미지가 마케팅에 미치는 영향이 커지면서 기업은 브랜드 가치 형성을 위해 온/오프라인 PR활동과 함께 브랜드 웹사이트를 적극적으로 활용하고 있다. 또한 학계와 관련 업계에서는 소비자들의 웹사이트의 이용 경험이 브랜드이미지 형성에 미치는 영향에 대하여 많은 연구를 진행해 왔다. 그러나 이와 반대로 웹사이트의 평가에 있어서 선 경험된 브랜드 이미지가 사이트의 평가에 영향을 미칠 수 있음에 대해서는 거의 연구되지 않았다. 본 연구에서는 브랜드 인지도와 브랜드 이미지를 통해 형성되는 브랜드 충성도-특히, 감정적 브랜드 충성도(Affective brand loyalty)-가 웹사이트의 사용자 경험에 있어서 디자인과 인터랙션디자인에 대한 감정적 평가에 미치는 영향에 대해 조사하였다. 이를 위하여 중국의 대학생, 대학원생 70인을 대상으로 중국에서 판매되고 있는 자동차 브랜드 8개를 선정하여 브랜드 충성도와 웹사이트의 사용자경험 평가에 대한 상관관계를 조사하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.269-272
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• 2006

병원의 각종 측정 장비에서 출력되는 결과지나 의사들이 작성한 기록지를 스캔하여 이미지형태로 저장하는 이미징 시스템 개발이 크게 요구되고 있다. 본 논문에서는 신경망과 그래픽 기법을 사용하여 대학병원 심전도실에서 사용되는 여섯 종류의 심전도 출력지를 이미지 형태로 저장하고 검색하는 이미징 시스템의 설계와 구현에 대해 논하였다. 구현된 시스템은 여섯 종류의 심전도 출력지를 분류하고, 분류된 각 출력지에 인쇄된 중요한 측정 데이터를 인식하여 데이터베이스에 저장한다. 심전도 출력지의 분류는 각 샘플 서식들의 평균 히스토그램을 구한 다음 새로운 출력지가 들어올 때 평균 히스토그램과의 거리가 가장 가까운 출력지로 분류하는 nearest-neighbor 방법을 사용하였다. 출력지에 인쇄된 데이터의 인식을 위해 먼저 XML로 작성한 출력지별 추출 정보를 기반으로 스캔한 이미지의 영역 분할 작업을 수행한다. 분할된 영역들은 신경망을 이용해 문자 인식을 하고, 인식된 문자들이 데이터베이스의 해당 속성값으로 저장된다. 스캔한 출력지는 의사들이 주석을 붙이거나 조건 검색을 위해 이미지 형태로 저장된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.1-2
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• 2023

본 연구는 환경 요인이 통제되어 있는 실험실 데이터에 산업 현장에서 발생하는 유사 잡음을 노이즈로 추가하였을 때, SNR비에 따른 노이즈별 STFT Log Spectrogram, Mel-Spectrogram, CWT Spectrogram 총 3가지의 이미지를 생성하고, 각 이미지를 입력으로 한 CNN 결함 분류 모델의 성능 결과를 확인하였다. 원본 데이터의 영향력이 큰 0db 이상의 SNR비로 합성할 경우 원본 데이터와 분류 결과상 큰 차이가 존재하지 않았으며, 노이즈 데이터의 영향이 큰 0db 이하의 SNR비로 합성할 경우, -20db의 STFT 이미지 기준 약 26%의 성능 저하가 발생하였다. 또한, Wiener Filtering을 통한 디노이징 처리 이후, 노이즈를 효과적으로 제거하여 분류 성능의 결과가 높아지는 점을 확인하였다.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.6
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• pp.842-853
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• 2004

This research was conducted to develop uniform designs as a part of CIP(Corporate Identity Program) for Corporate Identify of G College. A uniform is the dress of a distinctive design or a fashion worn by members of a particular group. Therefore, the uniform should provide the user with pride and distinction for a company or a college in wearing the uniform. The method and procedure of this research was as follows: First]y, we examined CIP(Corporate Identity Program) expressing 'visual Image' of G College such as symbolic marks and colors and logos and investigated the actual conditions of G College uniform and the others. Secondly, we decided the direction of the design concept to reflect the investigated results. Thirdly, we designed the new uniforms by the design process considering of the essential factors of a uniform. for example functional, beautiful, symbolic aspects.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.447-448
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• 2022

본 논문에서는 대중의 참여를 통해 캔 음료 제품의 점자 표기 실태를 파악하고, 음료 제조사가 이를 개선하도록 유도하는 방안을 제안한다. 캔 음료 상단에 표기된 점자를 촬영한 이미지에서 OpenCV를 통해 점자의 윤곽을 검출하고, 검출된 윤곽의 좌표를 계산하여 점자를 국문으로 번역하는 모듈을 개발한 후 서버에 이식한다. 서버와 통신하는 모바일 애플리케이션을 개발하여 소비자가 점자 이미지를 서버에 업로드하고, 점자의 인식결과를 확인할 수 있도록 한다. 점자 표기가 적절하지 않다고 판단하는 경우 해당 제품에 대한 정보를 기록하도록 하고, 제조사 별로 제보된 횟수의 순위를 제공한다. 이를 통해 소비자는 올바른 점자 표기를 제공하지 않는 제조사를 파악할 수 있으며, 제조사는 이를 의식하고 점자 표기를 개선할 수 있는 효과를 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.856-859
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• 2021

Image transmission by means of telecommunications is an essential task for information sharing. For considerable distances, wireless channels can be utilized and tuned for proper uses of image data exchange. However, the disturbances that a radio wave encounter during transmission causes partial or total loss of information. Result of such communications is a distorted image at the receiver's end. This paper proposes an auto-encoder architecture as an image enhancement method for narrow-bandwidth radio images. With this method, a distorted image can be improved for better receiver satisfaction. The proposed auto-encoder is trained with many narrow-bandwidth radio image data; hence it enhances a given distorted image. Also, the results were verified with the original image data being the reference images.