• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.799-808
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• 2004

Well documented, simplified and clarified source code is required for the mission critical application software area in which C programing language is generally used. We suggest an XML_based comment management system for C source code. The comment management system is composed of 6 modules including comment user module, reviewer module, comment extraction module, comment traceability link module, comment tag definition module and storage management module. The XML comment tags defined in this paper cover categories of the development process activities applying the IEEE standard 1028 and IEEE standard 1012. The XML Schema Is used to insert comments into C source code and to extract XML tags from C source code and the XSL-FO is used fur the visual display professing o( comment extraction results.

• Proceedings of the Materials Research Society of Korea Conference
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• 2011.10a
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• pp.30.2-30.2
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• 2011

나노 채널 구조는 반응 물질의 빠른 확산 경로를 제공하고, 넓은 반응 활성화 면적을 가지므로, 센서, 촉매, 전지 등의 다양한 기능성 전기 화학 소자용 고효율 전극 구조로서 관심을 받고 있다. 최근 양극 산화법을 이용하여, 자가 배열된 나노 채널 구조의 주석 산화물을 형성시키는 연구가 진행되고 있다. 그러나, 기재위에 도금된 주석 박막이 양극 산화에 의해 산화물로 변화하는 과정에서 내부 균열 및 표면 기공의 막힘 현상이 관찰되고, 기재 위 주석의 산화가 완료되는 시점에서는 기재의 산화 및 산소 발생에 의한 기계적 충격 등으로 인해 산화물이 기재로부터 탈리되는 문제가 발생하여, 그 응용 연구가 크게 제한되어 있는 실정이다. 본 연구에서는 다공성 주석 산화물 합성 시의 구조적 결함이 나타나는 이유에 대해 체계적으로 분석하고, 이를 바탕으로 결함이 없는 나노 채널 주석 산화물을 제조하는 방법을 제시하였다. 또한, 주석 산화물 박막을 기능성 전기화학 소자용 전극 활물질, 특히 리튬 전지용 음극재료로 사용하기 위한 효과적인 전극 제조 방법에 대해 논의하고, 그에 따라 제조된 전극의 충방전 용량, 사이클링 안정성 등을 제시하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.602-604
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• 2003

인터넷 접속이 가능한 장치의 종류가 계속 증가하고 있으나, 인터넷에 있는 많은 컨텐츠들은 제한된 성능을 가지는 장치들에서는 제대로 표현되지 않는다. 컨텐츠 제작비용 절감을 위해서는 기존의 컨텐츠를 재활용하는 것이 바람직하며, 본 논문에서는 이러한 목적으로 주석 편집기, 저작시점의 주석서버, 수행시점의 주석서버로 구성되는 다중 사용자 주석시스템을 설계하고 구현하였다. 구현된 시스템을 활용하면 컨텐츠 저작자는 컨텐츠에 의미 정보와 중요성을 부여하고, 컨텐츠 제공자는 웹 컨텐츠 변환을 위한 기본 주석을 제공하고 일반 사용자는 자신만의 개인화된 컨텐츠를 위한 주석을 별도로 작성할 수 있어 웹 컨텐츠 저작과 구축 그리고 사용에 관계된 모든 사용자들의 요구 사항을 충족시킬 수 있는 웹 문서 변환이 가능하다.

• Polymer(Korea)
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• v.34 no.6
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• pp.588-593
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• 2010

New seven acrylic monomers with covalently bonded silicon, germanium, and tin were prepared for high refractive index materials. The monomers were copolymerized with a cross-linkable comonomer (Trimer) to prepare UV-films for optical characterization. The refractive index of the copolymers increased in proportion to the monomer content and extrapolated to determine that of homopolymer. $Ph_3Si$, $Ph_3Ge$, and $Ph_3Sn$ groups contributed to increase the refractive index of acrylic polymer, in which $Ph_3Sn$ was more effective than $Ph_3Ge$. The index increment confidently occurred with $Bu_3Sn$ attachment in comparison with aliphatic acrylic polymers. $Ph_3SnS$-attached acrylate polymer showed a refractive index of 1.671 at 589 nm. The index change was similarly observed at various different wavelengths (656, 830, 1310, and 1550 nm).

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.57-60
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• 2003

비디오 데이터를 효율적으로 처리하기 위해서는 비디오 데이터가 가지고 있는 내용에 대한 정보를 데이터베이스에 저장하고 사용자들의 다양한 질의를 처리할 수 있는 의미기반 검색 기법이 요구된다. 기존의 내용기반 비디오 검색 시스템들은 주석기반 검색 또는 특징기반 검색과 같은 단일 방식으로만 검색을 하므로 검색 효율이 낮을 뿐 아니라 완전한 자동 처리가 되지 않아 시스템 관리자나 주석자의 많은 노력을 요구한다. 본 논문에서는 주석기반 검색과 특징기반 검색을 이용하여 대용량의 비디오 데이터에 대한 사용자의 다양한 의미검색을 지원하는 에이전트 기반에서의 자동화되고 통합된 비디오 의미기반 검색 시스템을 제안한다. 사용자의 기본적인 질의와 질의에 의해 추출된 키 프레임의 이미지를 선택함으로써 에이전트는 추출된 키 프레임의 주석에 대한 의미를 더욱 구체화시킨다. 또한, 사용자에 의해 선택된 키 프레임은 질의 이미지가 되어 제안하는 특징기반 검색기법을 통해 가장 유사한 키 프레임을 검색한다. 따라서 의미기반 검색을 통해 비디오 데이터의 검색의 효율을 높일 수 있도록 시스템은 설계한다.

• The KIPS Transactions:PartB
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• v.11B no.6
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• pp.701-708
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• 2004

Existing contents-based video retrieval systems search by using a single method such as annotation-based or feature-based retrieval. Hence, it not only shows low search efficiency, but also requires many efforts to provide system administrator or annotator with a perfect automatic processing. Tn this paper, we propose an agent-based, and automatic and unified semantics-based video retrieval system, which support various semantics-retrieval of the massive video data by integrating the feature-based retrieval and the annotation-based retrieval. The indexing agent embodies the semantics about annotation of extracted key frames by analyzing a fundamental query of a user and by selecting a key-frame image that is ed by a query. Also, a key frame selected by user takes a query image of the feature-based retrieval and the indexing agent searches and displays the most similar key-frame images after comparing query images with key frames in the database by using the color-multiple-partition histogram techniques. Furthermore, it is shown that the performance of the proposed system can be significantly improved.

• The KIPS Transactions:PartB
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• v.16B no.4
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• pp.281-288
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• 2009

This paper proposes a novel algorithm for the efficient classification and annotation of medical images, especially X-ray images. Since X-ray images have a bright foreground against a dark background, we need to extract the different visual descriptors compare with general nature images. In this paper, a Color Structure Descriptor (CSD) based on Harris Corner Detector is only extracted from salient points, and an Edge Histogram Descriptor (EHD) used for a textual feature of image. These two feature vectors are then applied to a multi-class Support Vector Machine (SVM), respectively, to classify images into one of 20 categories. Finally, an image has the Annotation Code Array based on the pre-defined hierarchical relations of categories and priority code order, which is given the several optimal keywords by the Annotation Code Array. Our experiments show that our annotation results have better annotation performance when compared to other method.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.95-102
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• 2004

In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic-based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency md requires many efforts of system administrator or annotator because of imperfect automatic processing. In this paper, we propose semantics-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method and optimized comparison area extracting that propose. Therefore, we propose the system that can heighten retrieval efficiency of video data through semantics-based retrieval.

• Journal of the Korea Computer Industry Society
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• v.5 no.2
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• pp.203-216
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• 2004

In order to process video data effectively, it is required that the content information of video data is loaded in database and semantic- based retrieval method can be available for various query of users. Currently existent contents-based video retrieval systems search by single method such as annotation-based or feature-based retrieval, and show low search efficiency and requires many efforts of system administrator or annotator form less perfect automatic processing. In this paper, we propose semantic-based video retrieval system which support semantic retrieval of various users by feature-based retrieval and annotation-based retrieval of massive video data. By user's fundamental query and selection of image for key frame that extracted from query, the agent gives the detail shape for annotation of extracted key frame. Also, key frame selected by user become query image and searches the most similar key frame through feature based retrieval method that propose. Therefore, we design the system that can heighten retrieval efficiency of video data through semantic-based retrieval.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.205-212
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• 2003

ThruBook is a collaborative work platform based on ebook documents, supporting synchronized group work sessions. Using this platform, users can participate in a group session based on a same ebook, and share group actions synchronously. In this paper, we consider annotations as all kinds of additional data on ebooks, including bookmarks, memos, and figures. Also, model shared actions such as sharing/navigating these annotations. As a result, we could model all collaborative actions as annotations, and propose a collaborative work model as communicating annotation objects between session participants. This approach implemented in ThruBook platform could easily model shared actions in collaborative systems. The collaborative work platform implemented in ThruBook can be applied to other types of collaborative work systems.