• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.62-70
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• 2016

Construction engineers are the core resource for the sustainable development of construction industry and positive images toward construction engineers give much impacts on recruit and retainment of the young and talented. Although previous studies reported on negative aspects of the image of construction industry, the image of construction engineers has not been properly investigated to date. The objective of the study is to compare images of construction engineers as perceived by general public and construction engineers themselves in order to identify key characteristics and implications. The result shows that construction engineers themselves, compared with general public, have more negative tendencies on images of construction engineers. The study suggests that it is critical to enhance the understanding of roles of construction engineers and their morality in order to improve general public's perception on construction engineers images. On the other hand, fundamental measures to be taken to restore the environments of construction industry for construction engineers to improve their self-perception on images of construction engineers.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.127-138
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• 2013

The age of social network has arrived. Social media is the various online media for sharing of opinions and experiences and open for internet users' participation. As the new communication tools, social media has been in the limelight, threatening the traditional media as alternative media. In globalization, country image is seen as the source of competitiveness of a country. The goal of this study is to examine what impact does the utilization of social media has on country image, and we conducted our analysis in two aspects of social media utilization, usage volume and usage diversity. In addition, we examined the impact of factors that form the country image on purchase intention. The analytical results show that media usage volume positively affects country image, people image, political image and media usage diversity has significant effects on economical image, people image and political image.

• Journal of the Korea Institute of Building Construction
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• v.16 no.5
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• pp.471-477
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• 2016

The construction industry is very important to supply the facilities and infrastructure in Korea. However, the images of construction industry are negative in actual. In addition, the studies to improve the images of construction industry up to now have a limitation to research the images about that time. So, in this study, the authors examined and analyzed the peoples' trend changes of the images of construction industry with time. The results showed that the positive images of construction industry about the contribution to national economy and the future prospect are diminished. And it is revealed that the negative images of construction industry about the morality are decreased, too. The authors proposed the strategies to improve the images of construction industry by the based on these results.

• International Commerce and Information Review
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• v.19 no.1
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• pp.67-98
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• 2017

This study intended to investigate to what extent country image of America and previous visit experience affect the cross-border shopping intention. In particular, the present study used a country image measurement brought from another research study the factors of which are economy-technology image, social-cultural image, and citizen image. A total of 155 respondents participated in the survey targeting Korean citizen for the present study. Single regression, multiple regression, and independent t-test were conducted for data analysis. The result of the single regression indicated that country image is a critical predictor of cross-border shopping intention. The Multiple regression revealed that among three factors composing country image, social-cultural image plays the most significant and economy-technology image plays the second-most significant role in influencing cross-border shopping intention. However, it was found that citizen image does not play a substantial role for some reason. Moreover, the result of t-test showed that those who have a prior visit experience to America are more likely to buy products online from America than those who don't have prior visit experience. More detailed findings and implications will be discussed in the manuscript.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.813-815
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• 2013

본 논문에서는 퀄컴의 Vuforia 엔진을 이용한 공공안내그림표지를 인식하여 해당 표지의 정보를 알려주는 어플리케이션을 제안하고 구현하였다. Vuforia 엔진은 이미지 인식 엔진 중 비교적 최근에 만들어져 다양한 마커를 활용할 수 있으며 속도, 마커 인식 면에서 다른 이미지 인식에 비해 뛰어 나다. 본 논문에서는 Vuforia 엔진에 기반한 공공안내그림표지를 인식하여 해당 표지의 정보를 알려주는 어플리케이션을 설계하고 구현하였다. 제안한 방법은 스마트폰으로 특정 공공안내그림표지를 인식하면 해당 표지의 정보를 출력해주도록 한다. 또한 공공안내그림표지를 관련된 분야별로 볼 수 있으며 검색을 이용하여 공공안내그림표지를 검색할 수 있다.

• Nuclear industry
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• v.14 no.10 s.140
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• pp.16-19
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• 1994

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.457-464
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• 2021

The advent of the big data era has enabled the rapid development of deep learning that learns rules by itself from data. In particular, the performance of CNN algorithms has reached the level of self-adjusting the source data itself. However, the existing image processing method only deals with the image data itself, and does not sufficiently consider the heterogeneous environment in which the image is generated. Images generated in a heterogeneous environment may have the same information, but their features may be expressed differently depending on the photographing environment. This means that not only the different environmental information of each image but also the same information are represented by different features, which may degrade the performance of the image analysis model. Therefore, in this paper, we propose a method to improve the performance of the image color constancy model based on Adversarial Learning that uses image data generated in a heterogeneous environment simultaneously. Specifically, the proposed methodology operates with the interaction of the 'Domain Discriminator' that predicts the environment in which the image was taken and the 'Illumination Estimator' that predicts the lighting value. As a result of conducting an experiment on 7,022 images taken in heterogeneous environments to evaluate the performance of the proposed methodology, the proposed methodology showed superior performance in terms of Angular Error compared to the existing methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.79-82
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• 2012

본 논문에서는 퀄컴의 Vuforia 엔진을 이용한 증강현실 미로 찾기 어플리케이션을 제안하고 구현하였다. Vuforia 엔진은 증강 현실 엔진 중 비교적 최근에 만들어져 다양한 마커를 활용할 수 있으며 속도, 마커 인식 면에서 다른 AR 엔진에 비해 뛰어나다. 본 논문에서는 Vuforia 엔진에 기반한 미로 찾기 앱을 설계하고 구현한다. 제안한 방법에서는 스마트폰으로 이미지 마커를 인식한 후, 스마트폰 화면에 3D 캐릭터와 미로를 출력해주도록 한다. 또한 가속도 센서를 이용하여 사용자가 직접 스마트폰을 기울여 캐릭터를 목적지까지 이동시키는 미로 찾기 게임 어플리케이션을 구현하였다.

• The Science & Technology
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• no.7 s.410
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• pp.38-41
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• 2003

꿈의 원자로 액체 금속로 연구에 몰두, 바닷물을 담수로 바꾸는 원자로 개발 성공, 건설중인 '북한원전' 투명성 확보할 것, '원자력은 안전' 국민 이미지 개선 노력, 여성들의 이공계 진출 큰 기대

• Archives of design research
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• v.17 no.4
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• pp.233-240
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• 2004

Living in the modern age with well-developed scientific technologies, all of us are enjoying convenient lives because of 'energy'. Korea, poor in resources, is importing a large portion of its energy sources from abroad but energy consumption shows an upward tendency due to the continuing economic growth and the improvement of living conditions. The atomic energy is considered a self-reliant, alternative energy source like our country. However, it is necessary to educate the people on and publicize atomic power generation in the face of the widespread negative recognition that the atomic power plant is a hazardous facility. The study approaches to these matters with a human-friendly and environment-friendly coloring plan in the perspective of environment coloring plan. The study aims to minimize negative images of the atomic power, while highlighting its friendly and positive images so as to enhance the confidence of the people on the atomic power and to create a clean image for the atomic power. For this goal, the study examined and analyzed cases of Japanese nuclear power plants and domestic nuclear power plants, and also carried out an on-site survey in the sites in which nuclear power plants would be constructed to extract concrete colors through the analyses of their natural environment and actual conditions. The study also carried out a survey of residents in the regions to induce their participation, and reflected the survey results to the coloring plan. The study is expected to create a stable and friendly image of the nuclear power plant through materializing its environment-friendly image and remove negative recognition that the people have on the nuclear power plant. It also attempted an external environment-coloring plan a s a strategic means for positive publicity and through this, is expected to ultimately contribute to the creation of the new images of nuclear ower plants.