• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.80-81
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• 2019

본 논문에서는 자연스러운 장면 영상에서 임의의 방향성을 가진 텍스트를 검출하기 위한 기법을 제안한다. 텍스트 검출을 위한 기본적인 프레임 워크는 Faster R-CNN[1]을 기반으로 한다. 먼저 RPN(Region Proposal Network)을 통해 다른 방향성을 가진 텍스트를 포함하는 bounding box를 생성한다. 이어서 RPN에서 생성한 각각의 bounding box에 대해 세 가지의 서로 다른 크기로 pooling된 특징지도를 추출하고 병합한다. 병합한 특징지도에서 텍스트와 텍스트가 아닌 대상에 대한 score, 정렬된 bounding box 좌표, 기울어진 bounding box 좌표를 모두 예측한다. 마지막으로 NMS(Non-Maximum Suppression)을 이용하여 검출 결과를 획득한다. COCO Text 2017 dataset[2]을 이용하여 학습 및 테스트를 진행하였으며 주관적으로 평가한 결과 기울어진 텍스트에 적합하게 회전된 영역을 얻을 수 있음을 확인하였다.

• Proceedings of the Zoological Society Korea Conference
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• 2003.08a
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• pp.209.2-209
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• 2003

No Abstract, See Full Text

• Proceedings of the Korean Society of Life Science Conference
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• 2007.10a
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• pp.57.1-57.1
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• 2007

See Full Text

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.751-753
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• 2004

PDA에서 사용하는 대부분의 CPU는 실수 연산 구성요소(float computation component)가 없는 정수(integer) CPU를 사용한다. 인공 신경망(neural network)과 같은 실수 연산이 많은 알고리즘은 PDA에서 많은 수행시간을 가진다. 본 논문에서는 이런 단점을 해결하기 위해 무선 랜(LAN)으로 연결된 Client(PDA)/Server(PC) 구조를 이용한 효과적인 문자 추출 시스템을 제안한다. Client(PDA)는 대략적인 문자 추출 결과를 JPEG으로 압축하여 전송속도를 최소화한다. Server(PC)는 Client(PDA)의 결과를 바탕으로 정밀한 문자 영역 추출을 위해, 텍스춰 분류 방법과 연결 성분 분석 방법을 이용한다. 실험에서 제안한 방법은 속도뿐만 아니라 문자 추출에서도 효과적이었다.

• Proceedings of the Zoological Society Korea Conference
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• 2001.04a
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• pp.71-71
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• 2001

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
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• 1999.10b
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• pp.201.2-201
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• 1999

No Abstract, See Full Text

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.609-614
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• 2018

This study was conducted to investigate the effects of turmeric powder on jeung-pyun. Turmeric jeung-pyun containing 0%, 0.5%, 1%, 1.5%, and 2% turmeric powder was prepared and the moisture, pH, sugar, color, texture, DPPH and sensory properties of the samples were measured. Moisture contents of jeung-pyun were 51.26~51.99% and there were significant differences among the samples(p<0.001). The L-values were significantly decreased with increasing turmeric powder content. The b-value was low in the control and there were significant differences among the samples(p<0.05). Texture profile analysis showed that there were no significant differences among the groups in hardness, adhesiveness, springiness, cohesiveness, gumminess, and chewiness. The hardness was the lowest in the control group and increased with increasing turmeric powder content. The antioxidant activities as measured by DPPH increased with increasing turmeric powder content (p<0.001). In the sensory evaluation, 1% addition of turmeric powder showed the highest preference in terms of color, taste, flavor, texture and overall preference(p<0.001). As determined by this study, the addition of 1% turmeric powder was the most favorable method for making use of turmeric powder in the production of jueng-pyun.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.5
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• pp.700-707
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• 2017

Recently, the military need more various education and training because of the increasing necessity of various operation. But the education and training of the military has the various difficulties such as the limitations of time, space and finance etc. In order to overcome the difficulties, the military use Defense Modeling and Simulation(DM&S). Although the participants in training has the empirical knowledge from education and training based on the simulation, the empirical knowledge is not shared because of particular characteristics of military such as security and the change of official. This situation obstructs the improving effectiveness of education and training. The purpose of this research is the systematizing and analysing the empirical knowledge using text mining and network analysis to assist the sharing of empirical knowledge. For analysing texts or documents as the empirical knowledge, we select the text mining and network analysis. We expect our research will improve the effectiveness of education and training based on simulation of DM&S.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.377-382
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• 2021

《Mu Yang Ai Hua, 牧羊哀話》 is known as the first Korean-sanctioned novel in the history of modern Chinese literature, and is famous for a novel created by the author himself visiting Korea and being inspired. The translation of 《牧羊哀話》 is constantly being re-translated (4 types). These translations also reflect the characteristics of each period, and the translation strategies used have their own characteristics. The results of the comparative analysis of the four types of translations in this study are as follows. The role A was published during the Japanese colonial period, and some parts were reduced and omitted according to the intent of the translator, and a foreignization translation strategy was used. B, C, and D have implemented content equivalence by utilizing many of the localization translation strategies, and added supplementary explanations in part to help readers understand. Since translation is a process of communication, it should not just convert the source text to the target text, but the target reader's response to the work should be the same as that of the reader. Therefore, translation must be able to understand the environment of the times and the readership, and it must use all possible methods to elicit the same emotion and empathy as the reader has read the original text. Therefore, translators need to use their nationalization and foreignization strategies at the same time based on their understanding of the target language and the politics, economy, history, culture, etc. of the destination country.

• Proceedings of the KAIS Fall Conference
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• 2012.05b
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• pp.820-822
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• 2012

최근 모바일 기기의 보급이 일반화됨으로서 모바일 영상을 다루는 많은 응용프로그램이 개발되고 있다. 모바일 영상을 분석하여 정보를 추출한 결과를 인터넷 검색의 키워드로 연계함으로서 직관적인 멀티미디어 검색을 가능하도록 한다. 본 연구는 모바일 영상에 포함된 한글 문자영역을 검출하는 방법을 제안하였다. 한글 문자의 기하학적인 특징을 추출하고 이를 분석함으로서 후보 한글문자 영역을 검출하고, 검출된 후보 문자영역을 한글 자소 병합 알고리즘을 이용하여 병합한다. 그리고 후보 문자 영역을 한글 6가지 한글 문자 유형 특징을 이용하여 한글 문자 영역을 판별함으로서 최종적인 한글 문자영역을 검출한다. 실험결과, 문자영역 검출률의 성능 평가 요소로서 재현률이 향상됨을 알 수 있었다.