• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1857-1861
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• 2010

이 연구는 하천 제방의 누수 문제에 대해서, 누수의 실태, 대책공 및 조사 방법에 관한 사례를 수집 정리하는 동시에, 이들 사례에 기반한 누수 특성, 하천 특성에 따른 대책공 및 조사 방법에 대해서 검토하기 위한 목적으로 수행하였다. 제방 누수는 일반적으로는 하천수가 제체 또는 기초 지반에 침투해서 제방의 제내 비탈면, 제내 비탈끝 또는 제내지에서 스며나오는 현상을 총칭하며, 각 누수 형태의 개념과 특징을 정리하였다. 1987년 일본의 건설성 하천국의 토목연구소에서 수행한 약 300건의 누수사례에 관한 검토보고서를 참고하여 일본의 하천 제방의 누수 특징을 요약 정리하였다. 제방의 침투/누수 대책 공법을 4가지로 분류하여 특징을 정리하였다. 하천 제방의 제체 누수에 대한 제방 강화 대책 공법의 선정 과정 및 지침을 제시하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.949-955
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• 2022

Deep learning-based text summarization models are not free from datasets. For example, a summarization model trained with a news summarization dataset is not good at summarizing other types of texts such as internet posts and papers. In this study, we define this phenomenon as Data Bias Problem (DBP) and propose two training methods for solving it. The first is the 'proper nouns masking' that masks proper nouns. The second is the 'length variation' that randomly inflates or deflates the length of text. As a result, experiments show that our methods are efficient for solving DBP. In addition, we analyze the results of the experiments and present future development directions. Our contributions are as follows: (1) We discovered DBP and defined it for the first time. (2) We proposed two efficient training methods and conducted actual experiments. (3) Our methods can be applied to all summarization models and are easy to implement, so highly practical.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.72-74
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• 2022

The National Science and Technology Knowledge Information Service (NTIS) provides information on national R&D projects. Project information consists of meta-information such as 'project name', 'project performance institution', 'research manager name', and text explaining projects such as 'research goal', 'research content', and 'expected effect'. There is a problem that it takes a lot of time to find the desired project information by checking all of the "research goals" or "research contents" in the list of results of searching for 1 million project information. To solve this problem, this paper proposes a project information summary system that summarizes the parts consisting of long texts within the national R&D project information. By analyzing the linguistic characteristics of the Korean language, a preprocessor was built and a project information summary model based on natural language processing technology was developed to process preprocessed text information. Through this, project information composed of long sentences is provided in a compressed and summarized form, which will help users to easily and quickly infer the overall content with the summary information alone.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.4
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• pp.31-37
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• 2003

This paper is a review of the large-scale information retrieval system, CONDOR. This system was developed by the consortium that consists of Chonbuk National University, Searchline Co. and Carnegie Mellon University. This system is based on the probabilistic model of information retrieval systems. The multi-language query processing, online document summarization based on query and dynamic hierarchy clustering of this system make difference of other systems. We test this system with 30 million web documents successfully.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.755-758
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• 2005

뉴스 데이터를 구조적으로 분할하고 의미적으로 분류하여 내용별로 세분화하여 검색하는 방법을 제안한다. 구조적 분할은 공간 밝기 분포와 명암도의 불연속성 그리고 시간적인 관계 등 프레임간의 상관 정보를 이용하여 장면을 분할한다. 의미적 분류는 키 프레임에서 추출된 특징 정보를 사전 지식 정보와 비교하여 뉴스 비디오의 세부 내용을 기사별로 분류한다. 뉴스의 진행이 앵커 프레임을 중심으로 주기적으로 반복된다는 특징을 이용하여 앵커 장면과 비 앵커 장면으로 기사를 분류한다. 비 앵커 장면은 연설장면, 인터뷰장면, 일반 장면으로 세분화하고 기사별로 분류하여 검색하도록 한다. 또한 뉴스 아이콘에 의한 요약 검색 기능 그리고 자막 통합 처리에 의한 자막 검색을 하여 뉴스 비디오를 내용별로 분류하고 인덱싱하여 신속하게 뉴스 비디오를 검색할 수 있도록 설계한다.

• Journal of KIISE:Software and Applications
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• v.26 no.10
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• pp.1204-1218
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• 1999

문서영상 검색을 위한 디지털도서관의 대부분은 논문제목과/또는 논문요약으로부터 만들어진 색인에 근거한 제한적인 검색기능을 제공하고 있다. 본 논문에서는 영문 문서영상전체에 대한 검색을 위한 단어 영상 형태 특징기반의 단어검색시스템을 제안한다. 본 논문에서는 검색의 효율성과 정확도를 높이기 위해 1) 기존의 단어검색시스템에서 사용된 특징들을 조합하여 사용하며, 2) 특징의 개수 및 위치뿐만 아니라 특징들의 순서를 포함하여 매칭하는 방법을 사용하며, 3) 특징비교에 의해 검색결과를 얻은 후에 여과목적으로 문자인식을 부분적으로 적용하는 2단계의 검색방법을 사용한다. 제안된 시스템의 동작은 다음과 같다. 문서 영상이 주어지면, 문서 영상 구조가 분석되고 단어 영역들의 조합으로 분할된다. 단어 영상의 특징들이 추출되어 저장된다. 사용자의 텍스트 질의가 주어지면 이에 대응되는 단어 영상이 만들어지며 이로부터 영상특징이 추출된다. 이 참조 특징과 저장된 특징들과 비교하여 유사한 단어를 검색하게 된다. 제안된 시스템은 IBM-PC를 이용한 웹 환경에서 구축되었으며, 영문 문서영상을 이용하여 실험이 수행되었다. 실험결과는 본 논문에서 제안하는 방법들의 유효성을 보여주고 있다. Abstract Most existing digital libraries for document image retrieval provide a limited retrieval service due to their indexing from document titles and/or the content of document abstracts. This paper proposes a word spotting system for full English document image retrieval based on word image shape features. In order to improve not only the efficiency but also the precision of a retrieval system, we develop the system by 1) using a combination of the holistic features which have been used in the existing word spotting systems, 2) performing image matching by comparing the order of features in a word in addition to the number of features and their positions, and 3) adopting 2 stage retrieval strategies by obtaining retrieval results by image feature matching and applying OCR(Optical Charater Recognition) partly to the results for filtering purpose. The proposed system operates as follows: given a document image, its structure is analyzed and is segmented into a set of word regions. Then, word shape features are extracted and stored. Given a user's query with text, features are extracted after its corresponding word image is generated. This reference model is compared with the stored features to find out similar words. The proposed system is implemented with IBM-PC in a web environment and its experiments are performed with English document images. Experimental results show the effectiveness of the proposed methods.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.530-539
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• 2002

Recently, there have been a lot of researches to develop an archive system for news videos that usually has a fixed structure. However, since the meta-data representation and storing schemes for news video are different from each other in the previously proposed archive systems, it was very hard to exchange these meta-data. This paper proposes a scheme for news video based on MPEG-7 MDS that is an international standard to represent the contents of multimedia, and a summarization mechanism reflecting the characteristics of shots in the news videos. The proposed scheme for news video uses the MPEG-7 MDS schemes such as VideoSegment and TextAnnotation to keep the original structure of news video, and the proposed summarization mechanism uses a slide-show style presentation of key frames with associated audio to reduce the data size of the summary video.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.219-239
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• 2017

As IT technology develops rapidly and the personal dissemination of smart devices increases, video material is especially used as a medium of information transmission among audiovisual materials. Video as an information service content has become an indispensable element, and it has been used in various ways such as unidirectional delivery through TV, interactive service through the Internet, and audiovisual library borrowing. Especially, in the Internet environment, the information provider tries to reduce the effort and cost for the processing of the provided information in view of the video service through the smart device. In addition, users want to utilize only the desired parts because of the burden on excessive network usage, time and space constraints. Therefore, it is necessary to enhance the usability of the video by automatically classifying, summarizing, and indexing similar parts of the contents. In this paper, we propose a method of automatically segmenting the shots that make up videos by analyzing the contents and characteristics of language education videos and indexing the detailed contents information of the linguistic videos by combining visual features. The accuracy of the semantic based shot segmentation is high, and it can be effectively applied to the summary service of language education videos.

• Journal of The Korean Association For Science Education
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• v.32 no.7
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• pp.1099-1108
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• 2012

The purpose of this study was to examine the effects of argument structure on students' writing in implementation of argument-based inquiry using the Science Writing Heuristic (SWH) approach. Participants of this study were 108 8th grade students (three classes). Two classes (68 students) were assigned to an experimental group, and the other class (35 students) was assigned to a comparative group. The experimental group was taught argument-based inquiry using the Science Writing Heuristic (SWH) approach, while the comparative group was taught with the traditional teaching strategy. After implementing this program, the two groups were asked to write summaries using structured argumentation in their writing. The result of this study showed that the experimental group used better argument structure and multimodal representation such as pictures, graphs and examples in evidence than the comparative group. The quality of evidence used in the students' writing was different between two groups. Students of the comparative group only listed fragments of science concepts for evidence to support their claims, but students of the experimental group explained science concepts by giving specific examples. The findings show that argument-based inquiry using the SWH approach was effective on argument structure in students' writing.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.11b
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• pp.229-236
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• 1999

방송환경을 변화시키는 원인 중의 가장 핵심이라고 할 수 있는 것은 방송의 디지털화이고,그 과정에서 나타나는 다양한 특징 중에서 최근 비중있게 다루어지는 것이 방송이 다기능화이다. 통신의 개념이 일부 포함됨으로써 방송에서도 고전적인 개념의 방송이 아닌 훨씬 다양한 서비스를 준비하고 있는데, 그 것은 데이터방송이란 이름으로 요약된다. 현재 데이터방송을 실현하기 위한 기반기술이나 규격을 정립하기 위하여 세계각국에서 연구 단체가 형성되어 활동하고 있는데, 다양한 대안들이 제시되어 아직은 통일된 안이 형성되지 못하고 있다. 국내에서도 이러한 시대흐름에 따라 데이터방송을 실시하기위한 규격의 확정과 실험 시스템을 제작하여 볼 필요성이 인식하여, 가장 실용적이고 구현이 용이하다고 할 수 있는 국제표준인 MHEG을 이용하여 시스템을 구현하여 실험하였다. 본 논문에서 그 시스템에 관한 내용을 살펴본다.