• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.703-707
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• 2008

Chinese has the biggest user in the world, is not only used to contact but also has ample cultural value and beautiful modeling. So it's widely used in our life. The Chinese character which is used in the T-shirt has a strong ability of transmit the information on the language. And it has a strong personality on the model too. It's more and more popular over the years with young people. The main objective of this research is to collect the structure data of Chinese character and the illustration of apply Chinese character on T-shirt between China and American. The second is to compare and analyze the number, construction, script, size, place, color, expression of the character. The others is to investigate the illustration of apply character on fashion design. And take the various manifestation of character as the foundation to put forward some new design project of apply Chinese character on the T-shirt.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.79-85
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• 2020

Today, to block spam texts on smartphone, a simple string comparison between text messages and spam keywords or a blocking spam phone numbers is used. As results, spam text is sent in a gradually hanged way to prevent if from being automatically blocked. In particular, for words included in spam keywords, spam texts are sent to abnormal words using special characters, Chinese characters, and whitespace to prevent them from being detected by simple string match. There is a limit that traditional spam filtering methods can't block these spam texts well. Therefore, new technologies are needed to respond to changing spam text messages. In this paper, we propose a knowledge graph-based new words detection mechanism that can detect new words frequently used in spam texts and respond to changing spam texts. Also, we show experimental results of the performance when detected Korean new words are applied to the Naive Bayes algorithm.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.2
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• pp.103-109
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• 2010

The edit distance problem is finding the minimum number of edit operations to transform a string into another one. It is one of the important problems in algorithm research and there are some algorithms that compute an optimal edit distance for the one-dimensional languages such as the English alphabet. However, there are a few researches to find the edit distance for the more complicated language such as the Korean or Chinese alphabet. In this paper, we define the measure of the edit distance for the Korean alphabet and present an algorithm for the edit distance problem for the Korean alphabet.

• The Transactions of the Korea Information Processing Society
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• v.5 no.10
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• pp.2600-2608
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• 1998

This paper proposes an algorithm for off line recognition of handwritten characters, especially effective for large-set characters such as Korean and Chinese characters. The algorithm is based on a minimum distance dlassification method which is simple and easy to implement but suffers from low recognition performance. Two strategies have been developed to improve its performance; one is multi-stage pre-classification and the other is candicate reordering. Effectiveness of the algorithm has been proven by and experimet with the samples of 574 classes in a handwritten Korean character catabase named PE02, where 86.0% of recognition accuracy and 15 characters per second of processing speed have been obtained.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.12
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• pp.3265-3276
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• 1996

The studies of document recongnition have been focused mainly on Korean documents. But most of documents composed of Korean and other characters. So, in this paper, we propose the document recognition system that can recognize the multi-size, multi font and mixed type characters. We have utilized a large scale network model, "CombNET" which consists of a 4 layered network with combstructure. And we propose recognition method that can recognize characters without discrimination of character type. The first layer constitutes a Kohonen's SOFM network which quantizes an input feature vector space into several sub-spaces and the following 2-4 layers constitutes BP network modules which classify input data in each sub-space into specified catagories. An experimental result demonstrated the usefulness of this approach with the recognition rates of 95.6% for the training data. For the mixed type character documents we obtained the recognition rates of 92.6% and recognition speed of 10.3 characters per second.

• Journal of the Korean Institute of Telematics and Electronics
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• v.15 no.2
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• pp.8-14
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• 1978

This paper discusses topics, which can be considered to generate a HANGEUL character pattern with general micro-processor.: A character must be composed by combining the input elements at their proper sizes and positions based on algorithm proposed here.

• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.53-57
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• 2008

1987년 정보교환용 부호가 완성음절형 부호계로 개정되면서 한글 음절 표현은 극히 제한되어 컴퓨터상에서 한글의 표현은 제약을 받게 되었다. 1446년 훈민정음이 공포된 후로 목판, 활자시대를 지나서 타자기를 만나면서 한자와 다른 길을 걸어왔다. 특히 컴퓨터시대가 되면서 한글은 타자 이상의 적합성을 가지고 있지만 훈민정음 창제원리에 대한 이해부족으로 음절문자로 분류하여 완성음절형 부호를 지원하게 됨에 따라서 많은 문제를 야기하고 있다. 국제표준인 유니코드에는 세가지 종류의 부호가 반영되어 있는데 음절문자 중심의 부호화이므로 훈민정음의 특성을 해치는 일이며 또한 한글의 과학성을 부정하는 일이기도 하다. 본 논문은 훈민정음 창제원리에 입각하지 않음으로 생긴 문제에 대한 근본적인 해결책으로 훈민정음을 표현하는 최적 폰트 설계 방안을 검토하고 현행의 한글부코드표준의 개선 방향을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1047-1050
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• 2000

형식문서는 현재 정보의 체계화된 표현 및 저장 수단으로서 널리 사용되어 왔다. 최근 이러한 형식문서들을 데이터베이스화해주는 시스템들이 보급되고 있다. 그러나 대부분 외국의 시스템을 기반으로 작성되어 한글, 영어, 숫자, 한자등 다양한 필기 문자들이 사용되는 국내 환경의 특수성을 적절히 반영하지 못하고 있다. 그 결과, 대부분의 경우 아직도 사람이 직접 자료를 입력해야만 한다. 본 논문에서는 이러한 국내 실정에 맞게 다양한 언어의 필기 문자 인식기를 결합하여 형식 문서의 정보를 자동으로 데이터베이스에 입력해 주는 시스템을 제안한다. 제안된 시스템은 영상을 인식한 뒤 그 결과를 검증하는 방법을 통하여 정보의 입력을 보다 효율적으로 수행할 수 있을 뿐 아니라, 전체 작업을 단계별로 분할하여 병렬적으로 수행할 수 있게 함으로써 처리율을 향상시킬 수 있게 하였다.

• Cross-Cultural Studies
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• v.25
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• pp.529-548
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• 2011

Zu Wen-Zao(朱文藻), Li Tiao-Yuan(李調元), Hong Liang-Ji(洪亮吉), Peng Yuan-Rui(彭元瑞), Qian Dong-Huan(錢東垣), Sun Xing-Yan(孫星衍), Ruan Yuan(阮元), Chen Zhan(陳?), Wu Shi-Fen(嗚式芬), Feng Gui-Fen(馮桂芬), He Shao-Ji(何紹基), Fan Zu-Yin(潘祖蔭) made the contributions to the theoretical construction to the science of Chinese characters in their books "Shuwenxizhuankao(說文繫傳考異)", "Liushufenhao(六書分毫)", "Liushuzhuanzhulu(六書轉注錄)", "Xiqinggujian(西淸古鑒)", "Xiaoeryajiaozheng(小爾雅校證)", "Jiujingzhengsuzikao(九經正俗字考)", "Jiguzhaizhongdingyiqikuanshi(積古齋鐘鼎?器款識)", "Shuwenshengxi(說文聲繫)", "Shuwenjiuzizhengyi(說文解字正義)", "Jungulu(?古錄)", "Shuwenjiuzizhukaozheng (說文解字段注考正)", "Shuowenduanzhubozheng(說文段注駁正)", "Haidongjinshilu(海東金石錄)". They analyzed the rules behind character construction, and tried to find out the nature of Chinese characters, the relationship between Chinese characters, the evolutionary laws of Chinese characters, the characteristic of ancient Chinese characters etc.

• The Korean Journal of Archival Studies
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• no.35
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• pp.217-230
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• 2013

근대 이전 몽골 부족의 기록생산은 토바어, 훈누어, 숨베어, 거란어, 한자 등 여러 고대 언어에 의해 십여 종의 기록에 집중되어 있음을 발굴기록을 통해 알 수 있다. 최초의 몽골어 기록생산은 소고도어의 영향을 받은 몽골비사라고 할 수 있다. 소그도어에 기반한 몽골문자는 13세기 이후 몽골의 기록생산에 사용되었으며 위구르어와는 다른 독창적인 문자이다. 칭키즈칸의 석문은 몽골제국의 공문 생산의 증거이며 소그도어로 쓰여졌다. 이후 몽골제국의 기록생산은 몽골제국이 여러 나라에 보낸 기록을 통해 알 수 있다. 몽골의 전통기록은 고지, 포고, 칙서, 임명장 등 여러형태가 있으며, 제목, 본문, 결재 부분으로 구성되어 있다. 본고에서는 몽골 전통문서의 형식과 구성요소에 대한 설명을 제공한다. 17세기 이후 몽골의 공식문서는 13세기의 문서 양식에 기초하고 있다.