• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.13-14
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• 2021

한국과학기술정보연구원(이하 KISTI)은 지난 11년 간 전사적으로 품질제고전략, 서비스만족전략, 이미지 제고전략 등 3대 고객만족 추진전략을 수립하여 체계적인 "고객만족경영시스템(CSM : Customer Satisfaction Management)"을 구축하고 이를 강화하기 위한 노력을 기울여 왔다. 본 연구의 목적은 과학기술정보서비스에 대한 고객만족도를 기반으로 하여 이용고객을 예측할 수 있는 모델을 구축하는 것이다. 이를 위해 과학기술정보 서비스를 경험한 500명의 의사결정자를 대상으로 과학기술정보서비스에 대한 고객충성도를 측정하였다. 고객의 충성도는 NPS(Net Promoter Score) 이론에 근거하여 하였다. 특히 연구결과 고객만족도 수준에 따라 비추천고객, 중립고객, 추천고객을 예측할 수 있는 모델을 구축하였다. 이와 같은 연구결과는 고객의 긍정적이거나 부정적인 구전으로 급속도로 노출되는 환경에서 고객의 만족도를 분석함으로써 기관의 주요 서비스별 고객을 확보하는데 사전 예측자료로 활용될 수 있다.

• Journal of KIISE
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• v.45 no.1
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• pp.30-35
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• 2018

GuessWhat?! is a game in which two machine players, composed of questioner and answerer, ask and answer yes-no-N/A questions about the object hidden for the answerer in the image, and the questioner chooses the correct object. GuessWhat?! has received much attention in the field of deep learning and artificial intelligence as a testbed for cutting-edge research on the interplay of computer vision and dialogue systems. In this study, we discuss the objective function and characteristics of the GuessWhat?! game. In addition, we propose a simple solver for GuessWhat?! using a simple rule-based algorithm. Although a human needs four or five questions on average to solve this problem, the proposed method outperforms state-of-the-art deep learning methods using only two questions, and exceeds human performance using five questions.

• Korea Science and Art Forum
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• v.23
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• pp.111-122
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• 2016

The purpose of this multi-disciplinary convergent study is to establish Image Copyright Archive Model for Museums to protect image copyright and vitalize the use of images out of necessity of research and development on copyright services over the life cycle of art contents created by the museums and out of the necessity to vitalize distribution market of image copyright contents in creative industry and to formulate management system of copyright services. This study made various suggestions for enhancement of transparency and efficiency of art contents ecosystem through vitalization of use and recycling of image copyright materials by proposing standard system for calculation, distribution, settlement and monitoring of copyright royalty of 1,000 domestic museums, galleries and exhibit halls. First, this study proposed contents and structure design of image copyright archive model and, by proposing art contents distribution service platform for prototype simulation, execution simulation and model operation simulation, established art contents copyright royalty process model. As billing system and technological development for image contents are still in incipient stage, this study used the existing contents billing framework as basic model for the development of billing technology for distribution of museum collections and artworks and automatic division and calculation engine for copyright royalty. Ultimately, study suggested image copyright archive model which can be used by artists, curators and distributors. In business strategy, study suggested niche market penetration of museum image copyright archive model. In sales expansion strategy, study established a business model in which effective process of image transaction can be conducted in the form of B2B, B2G, B2C and C2B through flexible connection of museum archive system and controllable management of image copyright materials can be possible. This study is expected to minimize disputes between copyright holder of artwork images and their owners and enhance manageability of copyrighted artworks through prevention of such disputes and provision of information on distribution and utilization of art contents (of collections and new creations) owned by the museums. In addition, by providing a guideline for archives of collections of museums and new creations, this study is expected to increase registration of image copyright and to make various convergent businesses possible such as billing, division and settlement of copyright royalty for image copyright distribution service.

• Journal of Conservation Science
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• v.36 no.6
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• pp.511-518
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• 2020

There have been reports that the "jeongcho (定礎)" letters of the foundation stone at the historical site No. 280 of the "Main Building of the Bank of Korea in Seoul" were written by Prince Ito Hirobumi (伊藤博文), the first Resident-General of Japan in Korea. An on-site investigation by an advisory group consisting of three experts in calligraphy; revealed that the two characters of '定礎' inscribed on the foundation stone are the characteristics of Ito Hirobumi's handwriting, judging from the writing style and habits observed in the collections of the Central Library of Hamamatsu City, Japan. It was reported that his writing was confirmed by the experts, but no basis was provided. To provide more objective and quantitative supporting data, rather than qualitative judgment based on feeling, it is necessary to present the basis for judgment through quantitative image comparison results through image analysis. In this paper, using image analysis software, Ito Hirobumi's calligraphy writing and the inscribed characters of the foundation stone were compared and analyzed to confirm the contents of the press release. The character comparison process and character area measurement results are a good example showing that if objective judgment basis data are needed in a similar situation, an objective judgment basis can be prepared through quantification using image analysis.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.197-206
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• 2010

For an emotion retrieval system implementation to support pedestrian navigation, coordinating the pedestrian emotion model with the system user's emotion is considered a key component. This study proposes a new method for capturing the user's model that corresponds to the pedestrian emotion model and examines the validity of the method. In the first phase, a database comprising a set of interior images that represent hypothetical destinations was developed. In the second phase, 10 subjects were recruited and asked to evaluate on navigation and satisfaction toward each interior image in five rounds of navigation experiments. In the last phase, the subjects' feedback data was used for of the pedestrian emotion model, which is called ‘learning' in this study. After evaluations by the subjects, the learning effect was analyzed by the following aspects: recall ratio, precision ratio, retrieval ranking, and satisfaction. Findings of the analysis verify that all four aspects significantly were improved after the learning. This study demonstrates the effectiveness of the learning algorithm for the proposed pedestrian emotion model. Furthermore, this study demonstrates the potential of such pedestrian emotion model to be well applicable in the development of various mobile contents service systems dealing with visual images such as commercial interiors in the future.

• Electronics and Telecommunications Trends
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• v.29 no.5
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• pp.96-104
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• 2014

1895년 독일 과학자 Wilhelm Roentgen 박사가 X-ray를 발견하고 미국의 Herman Carr가 MRI(Magnetic Resonance Imaging)의 기본 원리를 개발하여 발표한 이후 전자기장을 이용한 비침습적 의료영상 이미지 시스템은 놀라운 발전을 계속하여 왔다. 하지만, X-ray, CT(Computed Tomography), PET(Positron Emission Tomography)의 경우는 방사능의 사용과 조영제의 독성이라는 문제로 인하여 안전성에 대한 계속적인 문제를 야기해왔고 상대적으로 안전성이 입증된 MRI의 경우는 장비 자체 및 운용비가 일반화되기에는 고가여서 우리나라를 포함한 선진국에서도 아주 제한적으로 운영되고 있는 실정이다. 따라서, 세계적으로도 이러한 문제를 해결하기 위하여 안전하면서도 상대적으로 저렴한 비용으로 운용이 가능한 의료영상장비를 개발하기 위하여 많은 노력들이 경주되고 있어 관련 연구동향 및 산업화 동향을 소개하고자 한다.

• Journal of Integrative Natural Science
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• v.3 no.1
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• pp.43-48
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• 2010

본 논문은 지역 부분영상을 이용한 실시간 CCTV결합 시스템에 고나한 연구로써 프레임에 관한 결합 인식방법을 제안한다. 제안된 알고리즘은 기존에 비해 결합속도를 줄이고 이에 따라 전체적인 인식률을 높이는 것을 목표로 하고 있다. 기존 방법인 SIFT알고리즘은 특허가 있고 처리속도가 늦기 때문에 본 논문에서 개선된 지역영상 재생성 방식을 이용하여 실질적으로 CCTV 처리속도에 맞추어 속도를 높였다. 논문은 지역화 이미지를 이용하여 인식률과 속도를 바탕으로 전체적인 시스템 구현과 함께 알고리즘을 소개하는 것으로 구성되어 있으며 실제 실험을 통한 성능을 비교 평가 하였다. 실시간으로 동작하는 CCTV에 적용시킴으로 각각의 화면이 아닌 Inline System으로 감시자의 신체적 피로를 줄이고 경제적인 효과를 볼 수 있고 일반 사용자들도 쉽게 사용할 수 있는 저비용 시스템을 구축하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.13-14
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• 2021

본 논문은 생성모델의 학습데이터 제작기법에 대한 실험 및 결과와 향후 관련 연구의 방향을 기술한다. GAN으로 대표되는 생성모델이 아티스트에게 얼마만큼의 만족도와 영감을 주는지를 비교 실험 및 평가하기 위해서는 정제된 학습데이터가 필요하다. 하지만 현실적으로 아티스트의 작품은 데이터 세트를 만들기에는 그 수가 적고 인공지능이 학습하기에도 정제되어있지 않다. 2차 가공작업을 통하여 아티스트의 원본 작업과 유사한 데이터 세트의 구축은 생성모델의 성능향상을 위해 매우 중요하다. 연구의 결과 생성모델이 표현하기 어려운 스타일의 작가 작품을 선정한 뒤 최적의 학습데이터를 만들기 위한 다양한 실험과 기법을 통해 구축한 데이터 세트를 생성모델 알고리즘에 적용하고 실험을 통해 창작자의 작품제작 의도인 작가 진술에 최대한 유사한 이미지의 생성과 더 나아가 작가가 생각하지 못했던 창조적 모방의 결과물을 도출하였고 작가평가를 통해 높은 만족도를 얻었다.

• Journal of Korean Elementary Science Education
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• v.33 no.4
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• pp.655-673
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• 2014

We investigated perceptions and image analysis on scientists studying small organisms reflected in elementary student's drawing using a modified version of the Drawing-A-Scientist-Test. The participants were 530 of fifth and sixth graders consisted of 449 ordinary students and 81 science gifted students. The data were collected from associated words, images and explanatory notes depicted by students engaged in questionnaires. The results indicated that a larger number of students reminded small sized animals and/or plants as words associated with small organisms. In addition, some students depicted anthropomorphic or abstract microorganisms. In this study, more stereotypes of scientists' appearance were exhibited at sixth graders and city region group. Most of the students depicted indicators such as lab coat, glasses, scientific instruments for observing, indoor, male and young, whereas only a few students depicted collaborative work. There was statistically significant difference between girls and boys, because boys perceived male scientists only, while half of girls depicted female. More frequent research instruments and scientific captions were used when science gifted students depicted scientists studying small organisms. These results could be contributed to education on microorganisms in elementary science.

• Journal of The Korean Association For Science Education
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• v.16 no.3
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• pp.286-294
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• 1996

In this study, the image of scientists and the self-image in terms of stereotypical masculine and feminine characteristics were investigated for 562 primary and secondary school students. The perceived differences between the image of scientists and the self-image were quantified and compared across grade levels and gender. Their relationships with science-related attitudes were also studied. The results indicated that students hold more masculine characteristics in the image of scientists and more feminine characteristics in the self-image. The perceived differences between the image of scientists and the self-image were greater for female students than male students. Female students also had more negative attitudes than male students on Career Interest in Science and Enjoyment of Science Lesson of the Test of Science-Related Attitudes. It was found that the differences between the perceived images were negatively correlated with science-related attitudes. Although the relationships were found to be statistically significant, the magnitudes were relatively small. Educational implications are discussed.