• 제목/요약/키워드: engineering document

검색결과 1,253건 처리시간 0.028초

SysML 기반 문서 모델링 사례 (SysML-based Document Modeling Case)

  • 이태경;차재민;김준영
    • 시스템엔지니어링학술지
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    • 제14권2호
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    • pp.8-15
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    • 2018
  • In traditional Document Based Configuration Management(DBCM) environment, changes in a system's configurations are hard to be reflected to existing engineering documents. This nature of DBCM triggers unconformities of system configurations which could become great risks. Model-based Configuration Management(MBCM) has been introduced to solve the problem of DBCM by managing system's configurations through an unified model. Therefore, it is important to model engineering documents in a general modeling language, down to low-level information items to develop traceability and flexibility of a system's engineering information. So, in the research, to explore the possibility of Model-based Approach(MBA) in the field of configuration management, a development of a systems requirement document model using SysML based Views & Viewpoints concept has been studied.

Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images

  • Oh, KangHan;Kim, SooHyung;Na, InSeop;Kim, GwangBok
    • International Journal of Contents
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    • 제10권3호
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    • pp.35-40
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    • 2014
  • Text line segmentation is a critical task in handwritten document recognition. In this paper, we propose a novel text-line-segmentation method using baseline estimation and watershed. The baseline-detection algorithm estimates the baseline using Adaptive Head-Tail Connection (AHTC) on the document. Then, the watershed method segments the line region using the baseline-detection result. Finally, the text lines are separated by watershed result and a post-processing algorithm defines the lines more correctly. The scheme successfully segments text lines with 97% accuracy from the handwritten document images in the ICDAR database.

XML 기반 EDI 문서 처리 시스템 (XML-Based EDI Document Processing System)

  • 조휘경;진성근;정회경
    • 한국정보통신학회논문지
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    • 제16권4호
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    • pp.829-834
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    • 2012
  • 본 논문에서는 XML에 기반한 EDI 전자문서를 처리하기 위한 시스템에 관한 것이다. XML에 기반한 EDI 전자문서로 변환 시에 스크립트 파일을 사용하지 않고, 문서를 읽고 쓸 때 바이너리 형식의 전자문서 처리기인 문서 스캐너와 매퍼를 설계 및 구현 하였다. 또한, 그래픽적으로 전자문서간의 변환 룰을 정의하는 매핑 툴을 설계 및 구현하였다. 따라서, 본 논문에서 제안하고 있는 XML에 기반한 EDI 전자문서 처리 시스템은 XML 특성이 갖는 장점을 가지며 기존 EDI 전자문서 처리 시스템에 비해 속도 개선 및 사용의 편의성, 시스템에 대한 이식성 등이 뛰어나 B2B 게이트웨이 시스템으로 널리 활용될 것이다.

문서교환을 위한 ODIF 테이터 스트림 변환 시스템 설계 및 구현 (The Design and Implementation of the ODIF Data Stream Translation System for Document Interchange)

  • 정회경;김용호;김진수
    • 공학논문집
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    • 제1권1호
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    • pp.71-80
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    • 1997
  • 본 논문은 서로 다른 시스템들과 응용들 간의 문서 정보 교환을 위해 기존의 워드프로세서(wordprocessor) 화일을 국제 표준 형식인 ODIF(Open Document Interchange Format) 데이터 스트림(stream)으로 변환하는 시스템에 관한 것이다. 이를 위해 본 논문에서는 국제 기본 표준인 ODA(Open Document Architecture)와 기능 표준인 FOD 26을 채택하며, 기존의 문서 화일은 보석글V 화일을 채택한다. 구현 단계에서 국제 표준의 기능 표준에 기본해 설계함으로써 국제 환경 속에서 문서 교환이 가능하며, 멀티미디어 문서 정보통신 분야에 크게 기여할 수 있으리라 본다. 본 시스템은 PC 환경에서 Windows, ODAC(ODA Consortium) 툴킷(toolkit)을 사용한다.

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Query Space Exploration Using Genetic Algorithm

  • Lee, Jae-Hoon;Kim, Young-Cheon;Lee, Sung-Joo
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.683-689
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    • 2003
  • Information retrieval must be able to search the most suitable document that user need from document set. If foretell document adaptedness by similarity degree about QL(Query Language) of document, documents that search person does not require are searched. In this paper, showed that can search the most suitable document on user's request searching document of the whole space using genetic algorithm and used knowledge-base operator to solve various model's problem.

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Query Space Exploration Model Using Genetic Algorithm

  • Lee, Jae-Hoon;Lee, Sung-Joo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권2호
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    • pp.222-226
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    • 2003
  • Information retrieval must be able to search the most suitable document that user need from document set. If foretell document adaptedness by similarity degree about QL(Query Language) of document, documents that search person does not require are searched. In this paper, showed that can search the most suitable document on user's request searching document of the whole space using genetic algorithm and used knowledge-base operator to solve various model's problem.

Content-based Configuration Management System for Software Research and Development Document Artifacts

  • Baek, Dusan;Lee, Byungjeong;Lee, Jung-Won
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권3호
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    • pp.1404-1415
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    • 2016
  • Because of the properties of software such as invisibility, complexity, and changeability, software configuration management (SCM) for software artifacts generated during software life-cycle has been used for guarantee of the quality of the software. However, the existing SCM system has only focused on code artifacts and software development document artifacts such as Software Requirements Specification (SRS), Software Design Description (SDD), and Software Test Description (STD). Moreover, software research-oriented project comes out late the code artifacts and the software development document artifacts. Therefore, there is a need for trace and management of software research document artifacts composed of highly abstracted non-functional requirements like 'the purpose of the project', 'the objectives', and 'the progress' before generation of the code artifacts and the software development document artifacts for a long time. Nevertheless, the existing SCM system cannot trace and manage them. In this paper, we propose content-based configuration management system comprised of the relevance link generation phase and content-based testing phase to trace and manage them. The preliminary application results show applicability and feasibility of the proposed system.

비정형 문서의 정보추출을 통한 OWL 온톨로지 구축 시스템의 설계 및 구현 (The Design and Implementation of OWL Ontology Construction System through Information Extraction of Unstructured Documents)

  • 조대웅;최지웅;김명호
    • 한국컴퓨터정보학회논문지
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    • 제19권10호
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    • pp.23-33
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    • 2014
  • 정보검색 분야의 발전은 많은 양의 정보를 빠르게 찾아주는 것에서 사람이 원하는 정보를 정확하게 찾아주는 연구 분야로 넓혀가고 있다. 핵심 기술로는 개인화 및 시맨틱 웹 기술을 활용하고 있다. 웹 문서에 대한 자동색인 기술과 처리능력은 연구단계를 넘어 실용 서비스로 나타나고 있다. 하지만 웹 문서 이외의 첨부된 문서 형태에 대한 문서정보검색에 관한 연구는 미진한 상황이다. 본 논문에서는 텍스트, 워드, 한글과 같은 형식으로 작성된 비정형 문서의 본문 내용을 분석하여 OWL 온톨로지로 구축하는 방법에 대해 설명한다. 문서 온톨로지의 TBox를 구축하고, 문서로부터 얻을 수 있는 자원을 선정하여, 구축된 문서 온톨로지의 인스턴스로 활용할 수 있도록 시스템으로 구현한다. 이와 같은 비정형 문서의 온톨로지 자동 구축으로 해당 문서의 시맨틱 기술을 이용한 정보검색 및 문서관리 시스템에서 효과적으로 활용 가능하다.

품질경영 체제에서의 문서관리 시스템 확보 방안 (A Study on the Establishing Document Control System in Quality Management)

  • 박상필;김영세;박건우
    • 산업경영시스템학회지
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    • 제18권36호
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    • pp.307-313
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    • 1995
  • Everyone knows that documents are very useful to obtain and transfer an information. Establishing a good document control system is difficult although it is important. In this point, document control is the base of the quality system. This paper provides possible implementation methods and achieving the method of good document control through analysis of code requirements. The best method is to provide a freedom to people.

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Semantic Conceptual Relational Similarity Based Web Document Clustering for Efficient Information Retrieval Using Semantic Ontology

  • Selvalakshmi, B;Subramaniam, M;Sathiyasekar, K
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권9호
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    • pp.3102-3119
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    • 2021
  • In the modern rapid growing web era, the scope of web publication is about accessing the web resources. Due to the increased size of web, the search engines face many challenges, in indexing the web pages as well as producing result to the user query. Methodologies discussed in literatures towards clustering web documents suffer in producing higher clustering accuracy. Problem is mitigated using, the proposed scheme, Semantic Conceptual Relational Similarity (SCRS) based clustering algorithm which, considers the relationship of any document in two ways, to measure the similarity. One is with the number of semantic relations of any document class covered by the input document and the second is the number of conceptual relation the input document covers towards any document class. With a given data set Ds, the method estimates the SCRS measure for each document Di towards available class of documents. As a result, a class with maximum SCRS is identified and the document is indexed on the selected class. The SCRS measure is measured according to the semantic relevancy of input document towards each document of any class. Similarly, the input query has been measured for Query Relational Semantic Score (QRSS) towards each class of documents. Based on the value of QRSS measure, the document class is identified, retrieved and ranked based on the QRSS measure to produce final population. In both the way, the semantic measures are estimated based on the concepts available in semantic ontology. The proposed method had risen efficient result in indexing as well as search efficiency also has been improved.