• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.1-10
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• 2007

Many types of information provided through the web including news contents contain unnecessary clutters. These clutters make it difficult to build automated information processing systems such as the summarization, extraction and retrieval of documents. We propose a system that extracts and summarizes news contents from the web. The extraction system receives news contents in HTML as input and builds an element tree similar to DOM tree, and extracts texts while removing clutters with the hyperlink attribute in the HTML tag from the element tree. Texts extracted through the extraction system are transferred to the summarization system, which extracts key sentences from the texts. We implement the summarization system using co-occurrence relation graph. The summarized sentences of this paper are expected to be transmissible to PDA or cellular phone by message services such as SMS.

• Journal of the Korea Society of Computer and Information
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• v.8 no.3
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• pp.80-86
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• 2003

XML is being watched with keen interest for the communication and saving of information. Information represented in XML provides more accuracy and a higher-speed of reference after the process of being implication. But, it is difficult that XML document is exchanged or shared in different area such as electronic commerce or digital library. Because, XML document is being different in syntax but similar in logic, with using structured difference analysis. In this thesis, we converted object-oriented class diagram to XML DTD and designed an index mechanism based on the structure information for the converted XML DTD. With our methods, we could effectively and lastly retrieve the specific element and respect to usefully access element by simple operations.

• Journal of Broadcast Engineering
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• v.24 no.7
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• pp.1228-1236
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• 2019

Recently, media platforms such as YouTube and Twitch provide services that can generate personal revenue by utilizing media content produced by individuals. In this regard, interest in the copyright of media content is increasing. In particular, in the case of an audio source, competition for securing audio source copyright is fierce because it is an essential element for almost all media content production. In this paper, we propose a method to store the audio source and its signature using a blockchain and distributed storage system to verify the copyright of music content. To identify the possibility of extracting the audio signature of the audio source and to include it as blockchain transaction data, we implement the audio source and its signature file upload system based on the proposed scheme. In addition, we show the effectiveness of the proposed method through experiments on uploading and retrieving audio files and identify future improvements.

• Korean Journal of Artificial Intelligence
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• v.1 no.1
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• pp.1-3
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• 2013

This study suggested ways to control UML diagram and to make design of database and to retrieve diagram information by giving questions. The study classified elements of the diagram. For instance, class diagram was made of classes, and class was done of class name and attribute operator. The elements were transformed to be database table having basic key and foreign key information. The ways suggested had advantages of users' sharing of model information and reuse of the model. This study investigated cost saving, time saving and UML model construction by database. We had designed integrated and relation database that could save and manage UML diagram, and suggested retrieval. For instance, we classified class diagram into elements to make tables and kept relation of each element by using not only basic key of relation database but also foreign key information. We made database of modeling depending upon methods to give users convenience.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.584-586
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• 2003

XML 문서의 검색을 위한 많은 연구들이 수행되고 있지만 순수하게 구조적 관계성만을 대상으로 하는 검색 즉, 구조적 검색 처리 기법에 대해서는 많이 다루지 않고 있거나 XML 문서 트리에 대한 반복적인 순회를 기반으로 처리하는 방법들이 제안되었다. 또한, 사용자가 원하지 않는 엘리먼트들을 제외하기 위해서는 부가적인 필터링 과정을 필요로 한다. 한편, 대부분의 XML 문서의 검색 관련 연구들은 엘리먼트의 삽입 또는 삭제 등 XML 문서의 부분적인 갱신 및 변경이 발생하는 환경을 고려하지 않고 있다. 본 논문에서는 사용자로부터 주어지는 질의에 포함된 엘리먼트 타입 정보 이용하여 XML 문서 트리에 대한 순회를 없애거나 최소화시키고, 필터링 과정도 필요로 하지 않는 구조적 검색 기법을 설계한다. 또한, 엘리먼트의 삭제 및 삽입 등 동적인 변경에 빠르고 유연하게 대처할 수 있는 인덱스 구조를 설계하고 이를 기반으로 구조적 검색 질의의 주요 유형에 대한 처리 방안을 예를 들어 설명한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.649-651
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• 2001

본 논문에서는 XML 문서의 효율적인 관리와 구조검색을 위한 구조적 색인 방법을 제안한다. 기존의 방법은 특정 엘리먼트의 부모, 자식, 형제애 대한 다양한 구조검색을 효율적으로 지원하지 못하므로, XML 문서의 구조정보를 LETID(Labeled Element Type ID)로 표현하며 엘리먼트를 식별하고, 부모와 자식 엘리먼트간의 계층 정보와 동일한 부모 엘리먼트를 갖는 자식 엘리먼트들의 순서정보를 나타낸다. LETID는 고정된 크기로 하며, 엘리먼트에 고유 ID를 부여하는 방식을 통해서 DTD의 논리적 구조를 분석할 때 부모 형제 노드를 직접적으로 찾을 수 있고 ID 값에 깊이정보가 포함되어 있기 때문에 고유번호만 보고 깊이를 알 수가 있다. 이 구조정보를 이용하여 빠른 검색을 위한 내용 색인 구조 색인 애트리뷰트 색인을 설계하고 설계된 색인을 통하여 질의를 처리하여 다양한 구조적 질의를 효율적으로 처리할 수 있다.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.967-985
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• 2019

Bug report processing is a key element of bug fixing in modern software maintenance. Bug reports are not processed immediately after submission and involve several processes such as bug report deduplication and bug report triage before bug fixing is initiated; however, this method of bug fixing is very inefficient because all these processes are performed manually. Software engineers have persistently highlighted the need to automate these processes, and as a result, many automation techniques have been proposed for bug report processing; however, the accuracy of the existing methods is not satisfactory. Therefore, this study focuses on surveying to improve the accuracy of existing techniques for bug report processing. Reviews of each method proposed in this study consist of a description, used techniques, experiments, and comparison results. The results of this study indicate that research in the field of bug deduplication still lacks and therefore requires numerous studies that integrate clustering and natural language processing. This study further indicates that although all studies in the field of triage are based on machine learning, results of studies on deep learning are still insufficient.

• Current Optics and Photonics
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• v.5 no.1
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• pp.40-44
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• 2021

In this paper, LED arrays with segmented mirrors and a mask are presented as a new dark-field illuminator for reflective Fourier ptychographic microscopy (FPM). The illuminator can overcome the limitations of the size and the position of samples that the dark-field illuminator using a parabolic mirror has had. The new concept was demonstrated by measuring a USAF 1951 target, and it resolved a pattern in group 10 element 6 (274 nm) in the USAF target. The new design of the dark-field illuminator can enhance competitiveness of the reflective FPM as a versatile measurement method in industry.

• Journal of the Korea Computer Industry Society
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• v.2 no.8
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• pp.1089-1098
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• 2001

Structure information contained in a structured document supports various access paths to document. In order to use structure information contained in a structured document, it is required to construct an index structural on document structures. Content indexing and structure indexing per document require high memory overhead. Therefore, processing of pure structure queries based on document structure like relationship between elements or element orders, low memory overhead for indexing are required. This paper suggests the GDIT(Global Document Instance Tree) data structure and indexing scheme about structure of document which supports low memory overhead for indexing and powerful types of user queries. The structure indexing scheme only index the lowest level element of document and does not effect number of document having retrieval element. Based on the index structure, we propose an query processing algorithm about pure structure, proof the indexing schemes keeps up indexing efficient in terms of space. The proposed index structure bases GDR concept and uses index technique based on GDIT.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.5
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• pp.487-495
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• 2000

Information Feature Visualization integrates the traditional information retrieval techniques and visualization techniques and reduces the time and effort from searching for requested information by promoting apprehension from the wide and various internet information. It's used to understand the related information tendency by supporting the statistic materials for retrieved results. It's useful to catch a tendency regarding information over the search process. Recently, by increasing interest in the information visualization in the library system, The research about various visualization technology and searching system has been developed by many researchers. So, to describe systematically and visually the feature of information, we'll make the element of information visualization uniform by various views and suggest paradigm renewing retrieval technology using information outlining techniques by developing search tool to improve apprehension about information and navigate more easily among information. We can improve user's apprehension about search information and search more usefully.