• Title/Summary/Keyword: Document Databases

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ASSESSMENT OF CFD CODES USED IN NUCLEAR REACTOR SAFETY SIMULATIONS

  • Smith, Brian L.
    • Nuclear Engineering and Technology
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    • v.42 no.4
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    • pp.339-364
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    • 2010
  • Following a joint OECD/NEA-IAEA-sponsored meeting to define the current role and future perspectives of the application of Computational Fluid Dynamics (CFD) to nuclear reactor safety problems, three Writing Groups were created, under the auspices of the NEA working group WGAMA, to produce state-of-the-art reports on different aspects of the subject. The work of the second group, WG2, was to document the existing assessment databases for CFD simulation in the context of Nuclear Reactor Safety (NRS) analysis, to gain a measure of the degree of quality and trust in CFD as a numerical analysis tool, and to take initiatives to extend the existing databases. The group worked over the period of 2003-2007 and produced a final state-of-the-art report. The present paper summarises the material gathered during the study, illustrating the points with a few highlights. A total of 22 safety issues were identified for which the application of CFD was considered to potentially bring real benefits in terms of better understanding and increased safety. A list of the existing databases was drawn up and synthesised, both from the nuclear area and from other parallel, non-nuclear, industrial activities. The gaps in the technology base were also identified and discussed. In order to initiate new ways of bringing experimentalists and numerical analysts together, an international workshop -- CFD4NRS (the first in a series) -- was organised, a new blind benchmark activity was set up based on turbulent mixing in T-junctions, and a Wiki-type web portal was created to offer online access to the material put together by the group giving the reader the opportunity to update and extend the contents to keep the information source topical and dynamic.

Implementation of OSI Application Protocols in Library Networks (도서관 네트워크에서의 OSI프로토콜 응용에 관한 연구)

  • 정영미
    • Journal of the Korean Society for information Management
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    • v.14 no.1
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    • pp.47-76
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    • 1997
  • This study explores the importance of OSI standards in library environment and specifically of Z39.50/SR information retrival protocols and ILL protocol. Libraries and other information systems need to implement these ap lication protocols in order to facilitate the sharing of library information resources through information networks. The foreign systems which have implemented the standard protocols are reviewed in this paper, and it is suggested that search results of OPACs and other bibliographic databases be directly used for electronic document request for fast document delivery, first by implementing Z39.50 OPACs and standard interlibrary loan systems and next by integrating the two systems in Korean electronic libraries.

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A Way to Speed up Evaluation of Path-oriented Queries using An Abbreviation-paths and An Extendible Hashing Technique (단축-경로와 확장성 해싱 기법을 이용한 경로-지향 질의의 평가속도 개선 방법)

  • Park Hee-Sook;Cho Woo-Hyun
    • The KIPS Transactions:PartD
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    • v.11D no.7 s.96
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    • pp.1409-1416
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    • 2004
  • Recently, due to the popularity and explosive growth of the Internet, information exchange is increasing dramatically over the Internet. Also the XML is becoming a standard as well as a major tool of data exchange on the Internet. so that in retrieving the XML document. the problem for speeding up evaluation of path-oriented queries is a main issue. In this paper, we propose a new indexing technique to advance the searching performance of path-oriented queries in document databases. In the new indexing technique, an abbreviation-path file to perform path-oriented queries efficiently is generated which is able to use its hash-code value to index keys. Also this technique can be further enhanced by combining the Extendible Hashing technique with the abbreviation path file to expedite a speed up evaluation of retrieval.

Design and Performance Analysis of Storage Schema for Efficient Storing of GML Documents (효율적인 GML 문서 저장을 위한 저장 스키마의 설계 및 성능평가)

  • Chang, Jae-Woo;Wang, Tae-Woong;Lee, Hyun-Jo
    • Journal of Korea Spatial Information System Society
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    • v.9 no.2
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    • pp.35-53
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    • 2007
  • GML is a mark-up language which is suggested by OGC(Open GIS Consortium) for use of encoding standard concerning with storing and transferring Geographic information. For general spatial network database, researches supporting GML documents can be classified into three categories : parsing, storing, and retrieval of GML documents. Among them, the 'Storing of GML document' is essential for efficient GML document retrieval. However, There is little research on schema for storing GML documents. In addition, the existing schema for storing XML documents can't be used for GML documents due to geographic information. Therefore, In this paper, we propose efficient schema for storing GML documents In addition, we do performance evaluation of the GML schema.

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A Shared Inlining Method for Resolving the Overlapping Problem of Elements (엘리먼트의 중첩 문제를 해결한 Shared Inlining 저장 기법)

  • Hong, Eun-Il;Lee, Young-Ho
    • Journal of KIISE:Databases
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    • v.35 no.5
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    • pp.411-420
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    • 2008
  • The number of XML documents, which are widely used as a standard method for information expression and exchange in the web-based environment, increases rapidly along with the growing production of large XML documents. Many studies have been made to store and retrieve these XML documents on RDBMS, among which Shared Inlining storage method has a higher level of retrieval efficiency. The Shared Inlining method is the technique that analyzes the DTD information and stores the XML document in RDBMS by dividing for each node component. This study proposes the technique to resolve the overlapping problem that occurs in the element with several child nodes in the existing Shared Inlining method. The suggested method stores the XML document in the Shared Inlining structures appropriate to the DTD definition and enhances the accuracy of retrieval.

A Structured Markup Language for the Object-Oriented Representation and Management of Decision Models on the Web (웹상에서의 의사결정모형의 객체지향적 표현과 관리를 위한 구조적 마크업 언어)

  • Kim, Hyoung-Do
    • Asia pacific journal of information systems
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    • v.8 no.2
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    • pp.53-67
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    • 1998
  • The explosive growth of the Web is providing end-users access to ever-increasing volumes of information. The resources of legacy systems and relational databases have also been made available to the Web browser, which has become an essential business tool. Recently, model management on the Internet/Web is also proposed with its conceptual design or prototypical system like DecisionNet and DSS Web. However, they are also suffering from the same symptoms as the Web, Although we can identify the elements of a page with HTML tags and (declare) the relationships among the various document elements, they are semantically opaque to computer systems and have no domain-specific meaning. However, HTML is not extensible, so developers are forced to invent convoluted, non-standard solutions for embedding and parsing data. Extensible Markup Language (XML) is a simplified subset of SGML that has many benefits for folks who want to improve structure, maintainability, searchability, presentation, and other aspects of their document management. This paper proposes a structured markup language for model representation and management on the Web as an XML application. The language is based on a conceptual modeling framework, Object-Oriented Structured Modeling (OOSM), which is an extension of the structured modeling.

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The Query Optimization Techniques for XML Data using DTDs (DTD를 이용한 XML 데이타에 대한 질의 최적화 기법)

  • Chung, Tae-Sun;Kim, Hyoung-Joo
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.723-731
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    • 2001
  • As XML has become and emerging standard for information exchange on the World Wide Web it has gained attention in database communities of extract information from XML seen as a database model. Data in XML can be mapped to semistructured dta model based on edge-labeled graph and queries can be processed against it Here we propose new query optimization techniques using DTDs(Document Type Definitions) which have the schema information about XML data. Our techniques reduce traditional index techniques Also, as they preserve source database structure, they can process many kinds of complex queries. we implemented our techniques and provided preliminary performance results.

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Efficient Data Publishing Method for Protecting Sensitive Information by Data Inference (데이터 추론에 의한 민감한 정보를 보호하기 위한 효율적인 데이터 출판 방법)

  • Ko, Hye-Kyeong
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.9
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    • pp.217-222
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    • 2016
  • Recent research on integrated and peer-to-peer databases has produced new methods for handling various types of shared-group and process data. This paper with data publishing, where the publisher needs to specify certain sensitive information that should be protected. The proposed method cannot infer the user's sensitive information is leaked by XML constraints. In addition, the proposed secure framework uses encrypt to prevent the leakage of sensitive information from authorized users. In this framework, each node of sensitive data in an eXtensible Markup Language (XML) document is encrypted separately. All of the encrypted data are moved from their original document, and are bundled with an encrypted structure index. Our experiments show that the proposed framework prevents information being leaked via data inference.

Change Detection of Structured Documents using Path-Matching Algorithm (경로 매칭 알고리즘을 이용한 구조화된 문서의 변화 탐지)

  • Lee, Kyong-Ho;Byun, Chang-Won;Choy, Yoon-Chul;Koh, Kyun
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.606-619
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    • 2001
  • This paper presents an efficient algorithm to compute difference between old and new versions of an SGML/XML document. The difference between the two versions can be considered to be an edit script that transforms some document tree into another The proposed algorithm is based on hybridization of bottom-up and top-down methods: matching relationships between nodes in the two versions are producted in a bottom-up manner and top-down breadth -first search computes an edit script. Because the algorithm does not need to investigate possible existence of matchings for all nodes, faster matching can be achieved . Furthermore, it can detect more structurally meaningful changes such as subtree move and copy as well as simple changes to the node itself like insert, delete, and update.

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Improving classification of low-resource COVID-19 literature by using Named Entity Recognition

  • Lithgow-Serrano, Oscar;Cornelius, Joseph;Kanjirangat, Vani;Mendez-Cruz, Carlos-Francisco;Rinaldi, Fabio
    • Genomics & Informatics
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    • v.19 no.3
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    • pp.22.1-22.5
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    • 2021
  • Automatic document classification for highly interrelated classes is a demanding task that becomes more challenging when there is little labeled data for training. Such is the case of the coronavirus disease 2019 (COVID-19) clinical repository-a repository of classified and translated academic articles related to COVID-19 and relevant to the clinical practice-where a 3-way classification scheme is being applied to COVID-19 literature. During the 7th Biomedical Linked Annotation Hackathon (BLAH7) hackathon, we performed experiments to explore the use of named-entity-recognition (NER) to improve the classification. We processed the literature with OntoGene's Biomedical Entity Recogniser (OGER) and used the resulting identified Named Entities (NE) and their links to major biological databases as extra input features for the classifier. We compared the results with a baseline model without the OGER extracted features. In these proof-of-concept experiments, we observed a clear gain on COVID-19 literature classification. In particular, NE's origin was useful to classify document types and NE's type for clinical specialties. Due to the limitations of the small dataset, we can only conclude that our results suggests that NER would benefit this classification task. In order to accurately estimate this benefit, further experiments with a larger dataset would be needed.