• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.161-163
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• 2007

기존의 텍스트 추출을 위한 이진화 방법은 입력 이미지를 명도 이미지로 변환한 뒤 이진화 하는 방법을 사용하였다. 이러한 방법은 칼라 이미지에서는 극명히 구분되는 색이라 할지라도 명도 이미지로 변환하는 과정에서 같은 밝기를 같게 되는 경우(예를 들어, 배경은 붉은색, 텍스트는 초록색), 텍스트를 추출하는 데 어려움이 있다. 본 논문에서는 이러한 문제를 해결하기 위해 입력 이미지를 R, G, B로 분리하고 각각을 이진화 하여 텍스트를 추출하고 다해상도 웨이블릿(Wavelet) 변환을 이용하여 텍스트의 획 특징을 추출하여 추출된 특징들을 SVM(Support Vector Machine) 분류기로 검증하여 최종 텍스트 영역을 확정한다. 제안한 방법을 적용함으로써 명도 정보만으로는 추출하기 어려웠던 텍스트 영역을 효과적으로 추출하고 텍스트와 구별하기 어려운 영역을 획수준으로 검증할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.319-322
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• 2014

모바일 디바이스 보급이 확산되고 다양한 앱을 보다 쉽게 만들 수 있게 도와주는 저작도구들이 발표 되었으나 모바일 앱을 위한 텍스트의 디자인과 효과를 편집할 수 있는 저작도구는 부족하다. 본 논문에서는 상호작용과 시각적 효과를 높일 수 있는 텍스트 편집 기능을 가지면서 설계 결과를 앱에 통합하기 위한 저작도구를 제안한다. 이 저작도구를 통하여 사용자는 보다 편리하게 텍스트를 편집하고 실행 화면을 미리 확인할 수 있다. 설계된 결과는 xml 데이터로 저장되고 이를 모바일 디바이스에서 실행하기 위하여 실행환경의 텍스트 처리 라이브러리 클래스를 제공하고 이것을 앱의 개발자 코드에 통합하는 방법을 제시한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.283-285
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• 2001

본 논문은 텍스트 기반 채팅에서 다양한 미디어 메시지를 대화 행위에 지원하는 방법을 제안한다. 기존 텍스트 기반 채팅은 단순한 텍스트 기반 메시지를 사용함으로써, 미디어의 전송 및 공유 뷰(view)의 지원이 어렵다. 그러므로, 본 논문에서는 XML과 XSLT를 이용하여 텍스트 및 미디어 메시지를 생성하며, 미디어에 대해서는 앵커를 사용하여 웹브라우저에 프레젠테이션을 지원한다. 그리고, XML 태그의 확장 및 변경으로 다양한 효과의 생성과 변경이 용이하다. 이러만 미디어 메시지의 지원으로 다양한 대화 행위의 지원이 가능하며, 응용 분야는 온라인 교육, 게임 등이다.

• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.89-96
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• 2016

Most data generated in construction projects is unstructured text data. Unstructured data analysis is very needed in order for effective analysis on large amounts of text-based documents, such as contracts, specifications, and RFI. This study analysed previously performed project's bid related documents (bidder inquiry) in overseas construction projects; as a results of the analysis frequent words in documents, association rules among the words, and various document topics were derived. This study suggests effective text analysis approach for massive documents with short time using text mining technique, and this approach is expected to extend the unstructured text data analysis in construction industry.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.427-436
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• 2021

The purpose of this study is to implement a machine learning language model that learns literary texts. Literary texts have an important characteristic that pairs of question-and-answer are not frequently clearly distinguished. Also, literary texts consist of pronouns, figurative expressions, soliloquies, etc. They hinder the necessity of machine learning using literary texts by making it difficult to learn algorithms. Algorithms that learn literary texts can show more human-friendly interactions than algorithms that learn general sentences. For this goal, this paper proposes three text correction tasks that must be preceded in researches using literary texts for machine learning language model: pronoun processing, dialogue pair expansion, and data amplification. Learning data for artificial intelligence should have clear meanings to facilitate machine learning and to ensure high effectiveness. The introduction of special genres of texts such as literature into natural language processing research is expected not only to expand the learning area of machine learning, but to show a new language learning method.

• Knowledge Management Research
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• v.25 no.1
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• pp.155-172
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• 2024

This study investigates the effectiveness of foreign language learning through diverse treatments in virtual settings, particularly by differentiating virtual environments with three textual enhancement techniques. A 2 × 3 mixed-factorial design was used, treating virtual environments as within-subject factors and textual enhancement techniques as between-subject factors. Participants experienced two videos, each in different virtual learning environments with one of the random textual enhancement techniques. The results showed that the interaction between different virtual environments and textual enhancement techniques had a statistically significant impact on presence among groups. In examining main effects of virtual environments, significant differences were observed in flow and attitude toward pre-post learning. Also, main effects of textual enhancements notably influenced flow, intention to use, learning satisfaction, and learning confidence. This study highlights the potential of Metaverse in foreign language learning, suggesting that learner experiences and effects vary with different virtual environments.

• Korean Journal of Cognitive Science
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• v.4 no.2
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• pp.5-28
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• 1994

In this thesis we attempt to analyze modern Korean poetic texts in the franmeworks of text limgisitics and cognitive pragmatics. Both frameworks describe and explai human verbal communicantion in terms of congnitive information-processing procedures.By utilizing analytical devices provided by seven standards of textuality we can analyze any type of text,especially in terms of the cognitive operations underlying the production and reception processes.It is clamed in cognitive pragmatic framework that human ostensive inforential communication is regulated by the Principle of Relevance.We claim that the relevance-based framework of pragmatics provides evidence and rationale for those cognitive operations identified in the text linguistic framework. poetic texts involve every kind of cognitive strategies and processing procedures underlying human verbal communication.So,if modern Korean poetic texts are satisfactorily analyzed by text linguistics and cognitive pragmatics,it means that both frameworks are very useful tools for analyzing texts and that all the other text types which are less complicated than poetic text will also be analyzed by these frameworks. Researchers of poetry,and poets,are sensitive to poetic effects.They feel more of poeticity while reading poetic texts than ordinary readers do.However,these researchers or poets sometimes give different interpretation of a single poetic text.The interpretation of poetry cannot be anything,because poets write poems with particular intertions and do not just throw them out so as to be interpreted at ramdom.This thesis suggersts that the poeticity felt by the reader can be described and accounted for in a scientific way.In other words,text linguistics and cognitive pragmatics enable the researchers of poetry to become objective in interpreting poetic texts. It will be clearly shown that we have to see poetic texts from a cognitive perspective,since they are by-products of cognitive processing performed by discourse participants.

• 한국정보교육학회:학술대회논문집
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• 2006.08a
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• pp.257-262
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• 2006

PISA의 연구 결과에 따르면 컴퓨터 활용 빈도나 ICT 활용 환경 등의 양적 활용 실태는 세계적인 수준이나 프로그램이나 소프트웨어 활동 등의 컴퓨터 질적 활용 정도는 제고될 필요성이 있는 것으로 나타났다. 이는 초등 컴퓨터 교육에도 시사하는 바가 크다. 하지만 인적 물적 여건 등으로 인해 프로그래밍 교육을 초등학교 현장에 바로 적용하기에는 무리가 있다. 따라서 본 논문에서는 언어의 복잡성이 낮고 프로그래밍 단계와 과정이 간단한 HTML을 현장에 효과적으로 적용하기 위한 텍스트 에디터를 개발하고 개선점을 찾아보았다. 텍스트 에디터는 우선 태그를 직접 칠 필요가 없으며 학생들이 쉽게 학습할 수 있도록 도움말을 제시해 주었고 간단한 이미지 뷰어 기능을 통해 쉽게 이미지를 넣을 수 있도록 하였다. 개발된 텍스트 에디터의 효과를 설문지로 조사한 결과 쉽게 HTML 문서를 작성할 수 있어 학습에 도움이 된다는 점과 도움말을 제시한 부분은 긍정적으로 평가된 반면 보다 UI를 좀더 개선해야 한다는 결과가 나왔다.

• The Journal of Korean Association of Computer Education
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• v.11 no.4
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• pp.47-58
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• 2008

The purpose of the study was to reveal the effects of visual organizer types and cognitive styles in electronic text understanding. 126 graduate students were divided into a field-dependent group and a field-independent group, and then assigned to two different types of web- based instruction programs which included visual organizers of 'reduction' type and 'abstraction' type. Regarding the comprehension of contents, there were no significant effects of visual organizer types and cognitive styles. However, it was revealed that there were significant interaction effects between visual organizer types and cognitive styles on the awareness of structure in electronic texts. That is to say, while Type 2 ('abstraction' type) was more effective to field-dependent learners, Type 1 ('reduction' type) was more effective to field-independent learners in awareness of structure in electronic texts.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1167-1174
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• 2006

Text region detection from a natural scene is useful in many applications such as vehicle license plate recognition. Therefore, in this paper, we propose a text region extraction method using pattern histogram of character-edge maps. We create 16 kinds of edge maps from the extracted edges and then, we create the 8 kinds of edge maps which compound 16 kinds of edge maps, and have a character feature. We extract a candidate of text regions using the 8 kinds of character-edge maps. The verification about candidate of text region used pattern histogram of character-edge maps and structural features of text region. Experimental results show that the proposed method extracts a text regions composed of complex background, various font sizes and font colors effectively.