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최대식(Dae-Sik Choi),강형우(Hyoung-Woo Kang),남건우(Geon-Woo Nam) 한국정보과학회 2002 한국정보과학회 학술발표논문집 Vol.29 No.2Ⅰ
인터넷의 발달과 이로 인한 보안의 중요성이 점점 강조되고 있다. 이에 IDIP나 CITRA[3]같은 여러 가지 보안 도구와 시스템의 통합을 통한 전역적인 보안 관리 체계가 대두되고 있는 실정이다. 그러나 이들 대부분이 자신들의 관리영역에 한정하여 이미 결정된 맵을 사용함으로 실제 인터넷에 적용하기에는 많은 어려움이 있다. 인터넷을 통한 전역적이고 실질적인 보안 관리를 하기 위해서는 알려지지 않은(unknown) 망인 인터넷에 대한 정확한 맵핑이 이루어져야 하며, 이를 이용하여 공격자의 공격 경로와 지리학적 위치 판단, DoS 대응을 위한 망의 고립 또는 차단 등의 응용에 이용될 수 있다. 이에 본 논문에서는 맵핑을 위한 여러 가지 휴리스틱한 기법을 소개하고 이를 이용하여 인터넷 맵핑을 위한 프레임워크를 제안한다. 제안된 프레임워크는 기존 방법들의 여러 가지 장점을 취합하여 보다 세밀하고 정확한 맵핑에 효과적이다.
가상 미술관에서의 길 안내 ‘흐르는 선’ 제안: FoMO와 몰입을 중심으로
최대식(Daeshik Choi),박재완(Jaewan Park) 한국디자인학회 2024 디자인학연구 Vol.37 No.1
Background : In traditional art museums, designers use various visual guidance strategies to direct visitors, optimizing their experiences in alignment with the artist’s vision and exhibition’s design. These strategies include exhibit placement, graphic design, and lighting. However, as virtual exhibitions grow in popularity, there’s a notable lack of studies on visual guidance within virtual museums. Methods : In our study, 31 participants(17 males and 14 females) engaged with a virtual art museum through a display monitor, responding to various visual guidance stimuli, including fixed lines, fixed arrows, pointing arrows, and flying butterflies. These stimuli fell into two categories: World-referenced stimuli, which were centered on the user’s environment, and Screen-referenced stimuli, designed around the user’s display screen. Upon exploring the virtual museum, participants then completed a questionnaire probing their experiences of fear of missing out(FoMO), their reactions to the visual guidance(Visual Guidance Questionnaire, or VGQ), and their sense of flow or engagement with the exhibit. To analyze the gathered data, we employed the RM MANOVA, allowing us to empirically evaluate these constructs. Results : In a comparative analysis of comparative analysis of methods to visual guidance in a virtual art museum, we found that: 1)The distinction between world-referenced methods of visual guidance, centered on the user’s perspective, and screen-referenced methods did not show a significant correlation with VGQ, FoMO, or Flow. 2)A comparison of the four methods of visual guidance showed significant differences in VGQ, FoMO, and Flow. For FoMO, participants felt less guided by a ‘fixed line’ compared to a ‘pointing arrow’ and ‘butterfly’(F= 8.31). For Flow, the score was higher when using the ‘fixed line’ than the ‘pointing arrow’ and ‘butterfly’(F= 5.38). Lastly, the VGQ results showed that using the ‘fixed line’ received significantly higher scores compared to the ‘pointing arrow’ and ‘butterfly’, and the ‘fixed arrow’ also received a significantly high score(F= 18.8). These results indicated that the way visual guidance in a virtual art museum affects the user’s experience in the museum, preventing them from becoming lost and allowing them to immerse themselves in the artwork. Moreover, the ‘fixed line’ method of guiding attention was found to be the most positive for experiencing the virtual art museum. Conclusions : Based on the experimental results, our study proposes a new ‘flowing line’ visual guidance method for path guidance in virtual art museums. The ‘flowing line’ offers intuitive understanding of navigation without requiring users to interpret graphics or text, unlike traditional signage or maps used in virtual art galleries. It also represents the sequence of the exhibition through the flow of gradients, enabling sequential navigation and compensating for the shortcomings of the ‘fixed line on the floor’. Furthermore, The ‘flowing line’ is less forceful than the arrows traditionally used in visual guidance, and seamlessly integrates into the art museum without disrupting the appreciation of artwork. These findings provide foundational data that can be utilized in future virtual art museum planning, suggesting ways to enhance user’s art experiences by implementing efficient path guidance through visual guidance.
최대식(Choi Dae Sik),성장환(Seong Jang Hwan) 한국도시행정학회 2010 도시 행정 학보 Vol.23 No.1
This study aims to forecast the future demand for residential land in each municipality and the whole country. To this end, this study develops two separate models: a per capita living space estimation model and a population projection model. For the former, the whole country is classified into seven municipality groups and a model is established for each group. According to the results, county residents in the non-capital region are expected to have the largest per capita living space of 32.93m' in 2020, while city residents in the capital region to have the smallest of 25. 39m'. The future population of each municipality is projected with the use of Cohort survival method and regression method. In terms of the population increase rate, Yongin ranks the highest, followed by Gwangju(Gyeonggi), Paju, Hwaseong and Ansan. All of them are located in the capital region. Based on these results, the future demand for additional housing space and residential land is derived. By 2020, an additional housing space of 50lkIn', or 5.9 million housing units, are expected to be needed, with the demand for new residential development area reaching 767km', By city, Bucheon is found to have the highest ratio of the demand for new residential area in comparison with 'urban area' designated by the National Land Planning Law, followed by Anyang, Suweon, Seoul and Seongnam. By municipality group, Seoul/Incheon ranks the highest with the annual rate of 0.79 percent, followed by cities in the capital region, and metropolises in the non-capital region. Counties in the non-capital region are forecasted to have the annual rate of 0.06 percent, far lower than other groups.
Random forest 를 이용한 RNA 에서의 단백질 결합 영역 예측
최대식 ( Daesik Choi ),박병규 ( Byungkyu Park ),채한주 ( Hanju Chae ),이욱 ( Wook Lee ),항경숙 ( Kyungsook Han ) 한국정보처리학회 2016 한국정보처리학회 학술대회논문집 Vol.23 No.2
단백질과 RNA 의 상호작용 데이터가 대량으로 늘어남에 따라, 단백질과 RNA 의 결합부위를 예측하는 계산학적인 방법들이 많이 개발되고 있다. 하지만, 많은 계산학적인 방법들은 단백질에서 단백질과 RNA 결합부위를 예측한다는 한계점이 있었다. 본 논문에서는 RNA 와 단백질의 서열정보를 모두 사용하여, 단백질과 결합하는 RNA 결합부위를 예측하는 기법과 그 결과를 논한다. WEKA random forest(http://www.cs.waikato.ac.nz/ml/weka/)를 이용하여 예죽 모델을 개발하였고, RNA 서열의 서열 프로파일, 서열 composition, 결합 상대방의 단백질의 특성 등을 특징으로 표현하였다. Random forest 기법을 사용한 cross validation 의 결과로서 1:1 모델에서 제일 높은 성능인 92.4% sensitivity, 92.0% specificity, 92.2% accuracy 를 보였고, independent test 에서는 72.5% sensitivity, 90.0% specificity, 92.1% accuracy 를 보였다.