• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.509-519
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• 2016

For the purpose of providing valuable marketing data to improve hospital management an assessment of customer friendly image towards local general hospitals in a city near from Seoul was carried out. The results are as follows. First, it was possible to measure & record the level of customer friendly image towards general hospitals & different regions. Second, a multiple regression analysis and AHP analysis showed that the expertise, continuity affected the customer friendly image of the hospitals but the reputation and economics showed relatively low score. This study contributes to make hospital strategy for local hospital marketing specialist showing that hospital should improve expertise and continuity to enhance medical customer friendly image of the hospital. In conclusion. this study results present primary data for correct decision making for authorities of local general hospitals who have concerns about increasing customer friendly image to improve hospital management.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.4
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• pp.631-646
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• 2008

The objective of this study was to investigate satisfaction and revisit intention of Muju Firefly Festival visitors, based on visitors’ evaluation of festival images. The result of this research provided three major findings as belows. 1. The factor of “uniqueness of festival” among emotional image group and the factors of “festival spirit” and “educational impact” among cognitive image group contributed to the levels of visitor satisfaction. 2. The factors of “uniqueness of festival” and “traditionalism of festival” among emotional image group and the factors of “festival spirit” and “educational impact of festival” among cognitive image group influenced the revisit intention of festival visitors. 3. The factor of “uniqueness of festival” among emotional image group and factors of “festival spirit” and “educational impact” among cognitive image group had an impact on the intention of word of mouth.

• Archives of design research
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• v.14
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• pp.221-230
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• 1996

The paper aims to identify how Korean national image can be refined through the strategic use of design. There has been a distinctive need for refining the national image in Korea in recent years in accordance with the rapid growth of the nation's wealth. A comprehensive definition on nation image was prepared through a course of library search. The role of design in the establishment of national image was identified as a result of case study on the United States of America and Japan. Major problems were revealed through an analysis of current states of Korean national image. Finally, strategic suggestions for refining Korean national image have bl'en prepared in relation to the overall direction and specified guidelines.

• Journal of IKEEE
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• v.27 no.4
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• pp.561-566
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• 2023

With the development of deep learning, it is possible to solve various computer non-specialized problems such as image processing. However, most image processing methods use only the visual information of the image to process the image. Text data such as descriptions and annotations related to images may provide additional tactile and visual information that is difficult to obtain from the image itself. In this paper, we intend to improve image classification accuracy through a deep learning model that analyzes images and texts using image-text pairs. The proposed model showed an approximately 11% classification accuracy improvement over the deep learning model using only image information.

• Management & Information Systems Review
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• v.30 no.1
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• pp.187-209
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• 2011

This study investigate the roles of national image and corporate image on perceived quality, brand image, brand loyalty and brand equity of Chinese brands and global brands that are doing marketing in China. Several implications of this study is following like these. First, national image is one of major influence factors that affect enough on perceived quality likewise factors like advertising, price, and distribution. It is important marketing tool to promote national image on the national perspective and need to do those kinds of marketing activities. Second, this study shows the result that corporate image that is measured by the items focused on abilities of corporations is also influence factors that affect on perceived quality. In this perspective, the corporate image focused marketing activities of Korean firms may be the one of effective tools. Consequently, this study explains the mechanism that national image and corporate image variables enhance perceived quality, and perceived quality enhances brand image, brand loyalty and brand equity.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.547-552
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• 2014

As social multimedia sites are getting popular such as Flickr and Facebook, the amount of image information has been increasing very fast. So there have been many studies for accurate social image retrieval. Some of them were web image classification using semantic relations of image tags and BoVW(Bag of Visual Words). In this paper, we propose a method to detect salient region in images using GBVS(Graph Based Visual Saliency) model which can eliminate less important region like a background. First, We construct BoVW based on SIFT algorithm from the database of the preliminary retrieved images with semantically related tags. Second, detect salient region in test images using GBVS model. The result of image classification showed higher accuracy than the previous research. Therefore we expect that our method can classify a variety of images more accurately.

• International Commerce and Information Review
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• v.16 no.5
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• pp.117-149
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• 2014

The purpose of this study is to apply the concepts discussed in the previous studies on the China's country image and its impact to the Korean market, to provide basic information about the characteristics of the Korean market for Chinese companies to enter the Korean market, and to provide suggestions related to the country image for Korean companies when they want to enter foreign markets. For this purpose, a survey of 265 college students and workers in Seoul was analyzed using SPSS 2.0 and AMOS 21. The results are as follows. First, the dimensions of China's country image were found to be composed of five factors: fundamental image, socioeconomic image, prestige image, relationships image, and affective image. Second, among the dimensions of China's country image, fundamental image, socioeconomic image, and affective image had a positive effect on product image, and prestige image had a negative effect. Third, affective image was found to have influence on the attitude towards the product. Fourth, China's overall product images appeared to influence consumer attitudes. Fifth, the consumer attitudes to Chinese products appeared to affect the purchase intention. Sixth, for the consumer group whose own consumer ethnocentrism is low, compared to high, images of Chinese products showed a more positive impact on consumer attitudes. In the conclusion, we discussed the implications derived from the empirical results and suggested for future research.

• Annual Conference of KIPS
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• 2006.05a
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• pp.81-84
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• 2006

유비쿼터스 컴퓨팅 환경으로 발전하면서 문자열 위주의 획일적 형태에서 음성, 이미지 등 다양한 형태의 데이터들을 처리하게 되었으며, 또한 빠르고 정확하게 처리되기를 요구하고 있다. 현재 데이터 처리 중심부에 있는 Database는 대부분이 Relation DB 위주로 되어 있어 Datafile 에 데이터를 저장하고 있어 대용량의 이미지 데이터 처리에 적합하지가 않다. 본 논문에서는 이러한 단점을 보강하기 위해 Relation DB 하에서 대용량의 이미지 데이터 처리를 가능하게 하는 기법을 제시한다. 이렇게 함으로써 이미지 데이터를 Upload, Download 시 따른 응답 속도를 보장 할 수 있도록 LRU 알고리즘 기반으로 제안을 하였다. 본 논문에서 제안된 기법은 시뮬레이션을 통해 (1)기존 RDB(Relational Database)의 BLOB(Binary Large Object)필드를 이용한 이미지 데이터 처리 방식, (2)별도의 저장 공간에 이미지 데이터를 입/출하는 방식, (3)별도의 저장 공간에 이미지 데이터를 입/출력할 때 LRU(least Recently Used)알고리즘을 이용하는 방식에 대하여 성능 평가를 하였다. 그 결과 (3)별도의 저장 공간에 LRU(least Recently Used)알고리즘을 이용하여 입/출력하는 방식이 (1)기존의 RDB(Relational Database)형태에 BLOB(binary large object)필드를 이용한 것 보다 성능이 높음을 확인하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.4
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• pp.26-31
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• 2004

Due to the recent explosive progress of Web, We can easily access a large number of images from m. In this paper, we describe our approach of developing a general purpose content based image retrieval system over the H using a Web agent. The Web agent extracts text information of images from the links and file contents in HTML. The proposed system retrieves the images from database using the query by sketch and the query by example on Web browser. Experimental results demonstrate the effectiveness of the new approach.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.28-30
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• 2003

자바가상기계는 기계독립적인 바이트코드, 즉 자바 컴파일러가 자바 원천코드로 생성한 클래스 파일의 정보를 읽어 응용 프로그램을 실행한다. 클래스 파일의 내부정보는 동적인 클래스 적재를 지원하기 위한 각종 심볼명과 클래스, 상수, 필드, 메소드 등으로 구성되어 있으며 여러 가지 링크 정보와 디버깅 정보로 인해 메모리 낭비와 클래스 파일에 대한 정보를 접근하는데 비효율적인 요소가 많다. 이런 이유로 인해 메모리 사용에 제한을 받는 내장형 시스템 환경에서 동작하는 자바가상기계에서 클래스 파일을 그대로 이용하기에는 적합하지 않다. 따라서 클래스 파일을 다른 새로운 형태인 클래스 이미지 파일로 변환이 요구되는데 이를 지원하는 자바가 상기계로 simpleRTJ와 leJOS등이 있다. 클래스 이미지 파일의 지원은 내장형 시스템에서 동작하는 자바가상기계의 메모리 절감과 함께 클래스 정보의 접근 효율성을 높이는데 있다. 본 논문에서는 simpleRTJ 및 leJOS의 클래스 이미지 파일을 분석한 후 자바가상기계의 메모리 절감과 접근의 효율을 높여주기 위한 목적에 의해 클래스 이미지 파일을 생성하는 응용 프로그램인 cls2bin 이라는 클래스 이미지 변환기로 생성한 이미지 파일과 비교하여 cls2bin이 생성한 클래스 이미지 파일이 얼마만큼의 효과를 가지는지에 대해 검증해 보고자 한다.