• 한국정밀공학회지
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• 제20권9호
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• pp.180-187
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• 2003

In engineering design environment it is hard to link design data and systems because the types of them are disparate. Therefore, the importance of metadata has increased. Some researches have been executed to develop metadata. But they cannot interact with other metadata and are difficult to extend. The purpose of this paper is to develop a common document structure which represents the general information of mechanical part assembly using XML, and to use it as base documents in order to integrate design data and systems. It is composed of part, assembly and user documents. Part document represents the information of a part independently to part type. Assembly document represents the location of constituent part documents. User document represents user's information. Common documents can be used as a broker between design data and systems, and it can improve the interpretability and reusability of document. We applied the developed common document structure to 2-stage spur gear drive.

• Journal of information and communication convergence engineering
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• 제11권4호
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• pp.241-246
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• 2013

A classic document clustering technique may incorrectly classify documents into different clusters when documents that should belong to the same cluster do not have any shared terms. Recently, to overcome this problem, internal and external knowledge-based approaches have been used for text document clustering. However, the clustering results of these approaches are influenced by the inherent structure and the topical composition of the documents. Further, the organization of knowledge into an ontology is expensive. In this paper, we propose a new enhanced text document clustering method using non-negative matrix factorization (NMF) and WordNet. The semantic terms extracted as cluster labels by NMF can represent the inherent structure of a document cluster well. The proposed method can also improve the quality of document clustering that uses cluster labels and term weights based on term mutual information of WordNet. The experimental results demonstrate that the proposed method achieves better performance than the other text clustering methods.

• Journal of information and communication convergence engineering
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• 제10권3호
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• pp.258-263
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• 2012

Recently, the magnitude of electronic data interchange (EDI) document processing for the handling of port logistics is abruptly being increased. The existing system processes EDI documents in a script mode, but due to a complicated script preparation procedure and low document processing efficiency, it cannot meet the demand as the usage flow of documents increases. In this paper, an EDI electronic document processing system was designed and implemented in a document scanner and mapper, which are binary form electronic document processing tools and do not require script files during the conversion of extensible markup language (XML)-based electronic documents. This new system has the merits of XML features during reading and writing with improved speed, usage convenience, and good portability on systems when compared to the conventional ones.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2003년도 학술대회지
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• pp.573-576
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• 2003

최근 들어 컴퓨터의 보급과 인터넷 기술의 발전으로 건설사업을 수행하면서 발생하는 서식문서, 보고서, 계산서, 시방서 등 각종 문서를 컴퓨터를 사용하여 작성하고 작성된 전자문서는 인터넷을 통해 활발히 유통하고 있는 실정이다. 기존 전자문서는 다양한 포맷으로 작성되어 포맷간의 호환성의 문제 결여와 문서 내용이 의미하는 것을 사람과 컴퓨터가 함께 인식할 수 있는 건설관련 기술문서를 단순하게 전자적인 형태로 작성하기 않고 특정 하드웨어나 소프트웨어에서 구애를 받지 않으면서 표준화된 정보체계에 따라 전자문서화하고 기술문서의 활용성 제고를 위한 요구가 점차 강조되고 있다. 본 연구는 이러한 요구를 충족시키기 위해 건설CALS/EC의 구조적 언어인 XML 기술을 사용하여 기술문서를 전자문서화하기 위한 개발 절차와 방법을 마련하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권5호
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• pp.1778-1797
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• 2021

Document image binarization is an important pre-processing step in document analysis and archiving. The state-of-the-art models for document image binarization are variants of encoder-decoder architectures, such as FCN (fully convolutional network) and U-Net. Despite their success, they still suffer from three limitations: (1) reduced feature map resolution due to consecutive strided pooling or convolutions, (2) multiple scales of target objects, and (3) reduced localization accuracy due to the built-in invariance of deep convolutional neural networks (DCNNs). To overcome these three challenges, we propose an improved semantic segmentation model, referred to as DP-LinkNet, which adopts the D-LinkNet architecture as its backbone, with the proposed hybrid dilated convolution (HDC) and spatial pyramid pooling (SPP) modules between the encoder and the decoder. Extensive experiments are conducted on recent document image binarization competition (DIBCO) and handwritten document image binarization competition (H-DIBCO) benchmark datasets. Results show that our proposed DP-LinkNet outperforms other state-of-the-art techniques by a large margin. Our implementation and the pre-trained models are available at https://github.com/beargolden/DP-LinkNet.

• 산업경영시스템학회지
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• 제36권4호
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• pp.18-24
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• 2013

A document control system (DCS), ANSIM (KAERI Advanced Nuclear Safety Information Management) was designed for the purpose of documents preparation, review, and approvement for JRTR (Jordan Research and Training Reactor) project. The ANSIM system consists of a document management, document container, project management, organization management, and EPC (Engineering, Procurement and Construction) document folder. The document container folder run after specific contents, a revision history of the design documents and drawings are issued in KAERI. The EPC document work-scope is a registry for incoming documents in ANSIM, the assignment of a manager or charger, document review, preparing and outgoing PM memorandum as attached the reviewed paper. On the other hand, KAERI is aiming another extra network server for the NRR (New Research Reactor) by the end of this year. In conclusion, it is the first, computation system of DCS that provides document form, document number, and approval line. Second, ANSIM increases the productivity of performance that can be recognized the document work-flow of oneself and all participants. Finally, a plenty of experience and knowledge of nuclear technology can be transmitted to next generation for the design, manufacturing, testing, installation, and commissioning. Though this, ANSIM is expected to allow the export of a knowledge and information system as well as a research reactor.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제6권6호
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• pp.635-642
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• 2000

본 논문에서는 이동 단말에 적응적으로 웹 문서를 제공할 수 있는 효율적인 문서 변환 방법과 적응적 태그 단순화(tag reduction)를 수행하기 위한 RHTML(Reduced HTML)을 제안하였다. 제안한 적응적 문서 변환 방법은 마크업(markup) 오류 제거 과정을 통해 HTML(HyperText Markup Language) 문서를 XML(Extensible Markup Language)의 응용 문서로 변환한다. 이를 통해 웹 문서는 DOM(Document Object Model)을 사용하여 트리 구조로 손쉽게 다루어질 수 있게 되며, 따라서 이동 단말에서 마크업 오류를 수정하는 하드웨어의 부하를 제거할 수 있다. 또한 제안한 문서를 단순화하는 과정에서는 RHTML에 정의 된 3가지의 DTD(Document Type Definition)중 하나를 참고하여 이동 단말에 적응적으로 웹문서를 제공한다.

• 산업경영시스템학회지
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• 제39권2호
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• pp.113-118
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• 2016

Project management is a tool for smooth operation during a full cycle from the design to normal operation including the schedule, document, and budget management, and document management is an important work for big projects such as the JRTR (Jordan Research and Training Reactor). To manage the various large documents for a research reactor, a project management system was resolved, a project procedure manual was prepared, and a document control system was established. The ANSIM (Advanced Nuclear Safety Information Management) system consists of a document management folder, document container folder, project management folder, organization management folder, and EPC (Engineering, Procurement and Construction) document folder. First, the system composition is a computerized version of the Inter-office Correspondence (IOC), the Document Distribution for Agreement (DDA), Design Documents, and Project Manager Memorandum (PM Memo) works prepared for the research reactor design. Second, it reviews, distributes, and approves design documents in the system and approves those documents to register and supply them to the research reactor user. Third, it integrates the information of the document system-using organization and its members, as well as users' rights regarding the ANSIM document system. Throughout these functions, the ANSIM system has been contributing to the vitalization of united research. Not only did the ANSIM system realize a design document input, data load, and search system and manage KAERI's long-period experience and knowledge information properties using a management strategy, but in doing so, it also contributed to research activation and will actively help in the construction of other nuclear facilities and exports abroad.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.200-207
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• 2006

A new formal standardization methodology of the structural design document information is proposed in this paper. The standardization process is divided into three steps: pre-process of the collected sample document (CSD), construction of the document structure, and definition of the occurrence of each element in the document. During the pre-process, the detail document contents in the CSD are indexed with templates defined in this study, and the indexed CSD is translated into XML Schema (XSD) formal Afterwards the degree of confidences of all elements between the temporary standard document (TSD) and the translated CSD are calculated by using the XML schema matching algorithm; the TSD is then updated. This second step is repeated until all of the CSD are compared. In the final step, the common elements and unbounded elements are extracted by determining the occurrence of the temporary document elements, and the standardized document schema is exported in the XSD format. The case study dealing with the structural calculation documents show that the ,proposed methodology can be effectively used to build a XML -based information model of structural design documents.

• 한국정보통신학회논문지
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• 제13권12호
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• pp.2603-2608
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• 2009

문서군집은 정보검색의 많은 응용분야에 사용되는 중요한 문서 분석 방법이다. 본 논문은 비음수 행렬 분해 (NMF, non-negative matrix factorization)를 군집방법과 군집의 응집도(coherence of cluster)를 이용한 군집 내 문서들의 정제를 이용한 새로운 문서군집방법을 제안한다. 제안된 방법은 문서집합의 내부구조를 나타내는 의미특징행렬과 의미변수행렬 이용하여 문서군집의 성능을 높일 수 있고, 문장들 간의 유사도에 기반 한 군집의 응집도를 이용하여 군집내의 문서들을 정제하여서 재 할당함으로써 군집의 효율을 향상시킬 수 있다. 실험결과 제안방법을 적용한 문서군집방법이 다른 문서군집 방법에 비하여 좋은 성능을 보인다.