• Title/Summary/Keyword: Document-Classification

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A Study on the Space Planning for Science High Schools (과학고등학교 공간계획에 관한 연구)

  • Jo, Han-Hee;Lee, Hwa-Ryong
    • Journal of the Korean Institute of Educational Facilities
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    • v.18 no.6
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    • pp.3-14
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    • 2011
  • This research aims at proposing the space planning and architectural guideline required in designing the Science High School. It investigates specific features of the science high school which are distinguished from the general high school and analyses the compositional figure of teachers and students, the teaching methods and its educational curriculum, especially the revised educational curriculum in 2009. Meanwhile, it explores the administrative systems and facilities of the existing science high schools through both the document survey and on-the-spot interview. Such endeavor results in proposing the space classification, the space composition methods and a classroom managing system, which would be suited to the science high school. Finally it presents the architectural guidelines for planning the special subject learning area that is composed of a special subject classroom, a specified lab, medial space, a project and research room and teacher's room. The result of this study could be the fundamental resources for programming the special purposed high school as well as the science high school building.

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Classification and Retrieval of XML Document for Teacher Support System based on Web (웹 기반의 교수 지원 시스템을 위한 XML 문서의 분류 및 검색)

  • Kim, Haeng-Kon;Kim, Ji-Young;Choi, Mun-Kyoung;Kim, Soung-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.10b
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    • pp.1615-1618
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    • 2001
  • 최근 인터넷이 급속히 성장함에 따라 웹을 기반으로 한 학습이 활발히 진행되고 있고, 또한 학교 업무의 효율화를 지원하기 위한 분야에서도 웹이 응용되고 있다. 특히 웹에서 교수를 위한 복잡한 학교 업무의 관리와 학습자료 및 업무 자료를 지원하기 위해서는 확장성과 호환성, 편의성을 가진 XML 형태의 문서가 제공되어져야 한다. 따라서 교수 업무 지원을 위해 XML 문서의 정보들을 효율적이고 정확하게 이용하기 위해 이들 문서를 적절하게 분류하고 저장, 검색하기 위한 방법이 필요하다. 본 논문에서는 XML로 작성된 교수 업무 지원 문서의 저장과 검색을 위한 선행작업으로서, 일반적인 메타 데이터와 DTD 데이터를 정의하고, 이렇게 정의된 데이터를 이용하여 패싯 검색과 구조기반 검색, 키워드 검색을 제공함으로써 사용자는 원하는 문서를 쉽게 검색한 수 있다. 따라서 이를 통해 교수 업무 지원 문서들을 웹 상에서 효율적이고 정확하게 저장하며, 사용자가 원하는 문서를 정확하고 신속하게 검색할 수 있게 하고자 한다.

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A HTML Document Transcoding Technique for Mobile Devices (이동 단말을 위한 HTML 문서의 변환 기법)

  • Shin, Hee-Sook;Cho, Soo-Sun;Lee, Dong-Woo;Mah, Pyeong-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11c
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    • pp.2347-2350
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    • 2002
  • 본 논문에서는 일반 데스크탑 PC의 디스플레이 성능에 적합하도록 작성된 유선의 웹 문서를 무선 인터넷 환경의 핸드헬드 계열 소형 단말에서도 효율적으로 표현하기 위한 변환 기법을 제시한다. 이는 기존의 단순한 텍스트 위주의 추출 및 형식의 변환과는 달리, 분석 및 변환을 위한 최소 내용 단위를 설정하고, 이들의 재배치를 통하여 원본 웹 문서의 정보를 보다 정확히 반영한다. 또한 새로운 인덱스 형식으로의 재표현을 통하여 기존의 페이지 조각과 계층적 구조의 인덱스 링크를 이용한 인터페이스보다 편리한 검색 및 페이지 이동을 제공한다. 이 기법은 보다 많은 정보를 복잡한 구조로 표현하는 현재의 웹 문서 특징을 반영하고, 이동 단말들의 고성능화 추세와 함께 화려한 무선 인터넷을 요구하는 사용자들을 고려한 것이다. 전체 변환 과정은 Layout-Forming Tag Analysis Algorithm, Component Grouping Algorithm Component Block Classification Method, Index Generation Method로 구성된다. 변환 시스템의 구성 모듈별 설계와 프로토타입의 구현을 통하여 제안하는 알고리즘 및 변환 방법을 평가하였고, 실제 웹 문서에 대한 실험 결과에서 단말의 소형 화면에 적합하게 변환된 모습을 확인하였다.

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Emotion Prediction of Document using Paragraph Analysis (문단 분석을 통한 문서 내의 감정 예측)

  • Kim, Jinsu
    • Journal of Digital Convergence
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    • v.12 no.12
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    • pp.249-255
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    • 2014
  • Recently, creation and sharing of information make progress actively through the SNS(Social Network Service) such as twitter, facebook and so on. It is necessary to extract the knowledge from aggregated information and data mining is one of the knowledge based approach. Especially, emotion analysis is a recent subdiscipline of text classification, which is concerned with massive collective intelligence from an opinion, policy, propensity and sentiment. In this paper, We propose the emotion prediction method, which extracts the significant key words and related key words from SNS paragraph, then predicts the emotion using these extracted emotion features.

Identifying New Technologies in Product and Processes through Patent Databanks

  • Silva, Luan Carlos Santos;Caten, Carla Schwengber ten;Gaia, Silvia;Faco, Renata Tilemann;Zocche, Lidiana;Travessini, Rosana
    • The Journal of Industrial Distribution & Business
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    • v.6 no.3
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    • pp.27-33
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    • 2015
  • Purpose - This paper's aim is to analyze the technological information in patent databanks as a strategy in prospecting for new technologies. Research design, data, and methodology - We detail the major free electronic database sources for patent information, the patent documents, the patent document structures, INID codes (Internationally Agreed Numbers for the Identification of Data), indexation, references, and classification notions. Additionally, we review and analyze information on the activities of the Center of Dissemination Documentation and Technological Information (CEDIN) from the National Institute of Intellectual Property (INPI) of Brazil for the period 2000 to 2011. Results - The research shows that the technological information contained in the patents could provide a wide range of functionality within companies and universities. Conclusions - In recent years, (CEDIN), a specialist in intellectual property, has been serving internal and external users by providing guidance on the basis of patents and other literature, but the number of users served is still small. In order to familiarize more potential users of such technological information, task forces should be created among INPI, universities, and companies.

Printed Hangul Recognition with Adaptive Hierarchical Structures Depending on 6-Types (6-유형 별로 적응적 계층 구조를 갖는 인쇄 한글 인식)

  • Ham, Dae-Sung;Lee, Duk-Ryong;Choi, Kyung-Ung;Oh, Il-Seok
    • The Journal of the Korea Contents Association
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    • v.10 no.1
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    • pp.10-18
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    • 2010
  • Due to a large number of classes in Hangul character recognition, it is usual to use the six-type preclassification stage. After the preclassification, the first consonent, vowel, and last consonent can be classified separately. Though each of three components has a few of classes, classification errors occurs often due to shape similarity such as 'ㅔ' and 'ㅖ'. So this paper proposes a hierarchical recognition method which adopts multi-stage tree structures for each of 6-types. In addition, to reduce the interference among three components, the method uses the recognition results of first consonents and vowel as features of vowel classifier. The recognition accuracy for the test set of PHD08 database was 98.96%.

A Study on the Improvement of Bayesian networks in e-Trade (전자무역의 베이지안 네트워크 개선방안에 관한 연구)

  • Jeong, Boon-Do
    • International Commerce and Information Review
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    • v.9 no.3
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    • pp.305-320
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    • 2007
  • With expanded use of B2B(between enterprises), B2G(between enterprises and government) and EDI(Electronic Data Interchange), and increased amount of available network information and information protection threat, as it was judged that security can not be perfectly assured only with security technology such as electronic signature/authorization and access control, Bayesian networks have been developed for protection of information. Therefore, this study speculates Bayesian networks system, centering on ERP(Enterprise Resource Planning). The Bayesian networks system is one of the methods to resolve uncertainty in electronic data interchange and is applied to overcome uncertainty of abnormal invasion detection in ERP. Bayesian networks are applied to construct profiling for system call and network data, and simulate against abnormal invasion detection. The host-based abnormal invasion detection system in electronic trade analyses system call, applies Bayesian probability values, and constructs normal behavior profile to detect abnormal behaviors. This study assumes before and after of delivery behavior of the electronic document through Bayesian probability value and expresses before and after of the delivery behavior or events based on Bayesian networks. Therefore, profiling process using Bayesian networks can be applied for abnormal invasion detection based on host and network. In respect to transmission and reception of electronic documents, we need further studies on standards that classify abnormal invasion of various patterns in ERP and evaluate them by Bayesian probability values, and on classification of B2B invasion pattern genealogy to effectively detect deformed abnormal invasion patterns.

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The Retained Documents Disposal Project and Reorganization of National Records Management System(1968~1979): Focused on Reorganization the Government Document Classification Scheme and Criteria for Retention Period (보존문서정리작업과 국가기록관리체계의 개편(1968~1979) - 공문서분류표와 보존연한책정기준의 개편을 중심으로 -)

  • Lee, Seung-Il;Lee, Sang-Hun
    • Journal of Korean Society of Archives and Records Management
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    • v.8 no.1
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    • pp.65-96
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    • 2008
  • The Retained documents disposal project, promoted in 1968 and 1975, was executed as part of administrative plans for prompt movement of the government in case of national emergency. It was main contents that archival documents were re-appraised and reduced the least, and then moved rearward. The Retained documents disposal project denied The Records Management System of Korean Government that had been founded in 1964, promoted reduction of documents physically for convenience to dispersion of the government. Korean Government had completed these projects and then reorganized records management system to reduce creation of archival documents systematically in 1979.

Sentence Cohesion & Subject driving Keywords Extraction for Document Classification (문서 분류를 위한 문장 응집도와 주어 주도의 주제어 추출)

  • Ahn Heui-Kook;Roh Hi-Young
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.463-465
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    • 2005
  • 문서분류 시 문서의 내용을 표현하기 위한 자질로서 사용되는 단어의 출현빈도정보는 해당 문서의 주제어를 표현하기에 취약한 점을 갖고 있다. 즉, 키워드가 문장에서 어떠한 목적(의미)으로 사용되었는지에 대한 정보를 표현할 수가 없고, 문장 간의 응집도가 강한 문장에서 추출되었는지 아닌지에 대한 정보를 표현할 수가 없다. 따라서, 이 정보로부터 문서분류를 하는 것은 그 정확도에 있어서 한계를 갖게 된다. 본 논문에서는 이러한 문서표현의 문제를 해결하기위해, 키워드를 선택할 때, 자질로서 문장의 역할(주어)정보를 추출하여 가중치 부여방식을 통하여 주어주도정보량을 추출하였다. 또한, 자질로서 문장 내 키워드들의 동시출현빈도 정보를 추출하여 문장 간 키워드들의 연관성정도를 시소러스에 담아내었다. 그리고, 이로부터 응집도 정보를 추출하였다. 이 두 정보의 통합으로부터 문서 주제어를 결정함으로서, 문서분류를 위한 주제어 추출 시 불필요한 키워드의 삽입을 줄이고, 동시 출현하는 키워드들에 대한 선택 기준을 제공하고자 하였다. 실험을 통해 한번 출현한 키워드라도, 문장을 주도하는 주어로서 사용될 경우와 응집도 가중치가 높을 경우에 주제어로서의 선택될 가능성이 향상되고, 문서분류를 위해 좀 더 세분화된 키워드 점수화가 가능함을 확인하였다. 따라서, 선택된 주제어가 문서분류의 정확도에 있어서 향상을 가져올 수 있을 것으로 기대한다.

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A Study on the Ship Design of a new ICLL for the 21st Century (21세기 국제만재흘수선협약에 따른 선박설계의 연구)

  • Park M.K.;Kwon Y.J.
    • Journal of Korean Port Research
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    • v.7 no.1
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    • pp.89-114
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    • 1993
  • ICLL 66 is the most widely ratified instrument of the IMO and is, along with the International Convention on Safety of life at Sea (SOLAS), the primary document setting forth internationally agreed ship safety standards. ICLL 66 set freeboard requirement based on experience gained from the first Load Line Convention in 1930 and on contemporary developments in ship design. Reexamination of ICLL 66 is indicated by the proliferation of novel ship designs for which it lacks adequate regulations and by significant advancements in analytical seakeeping and deck wetness prediction techniques now available to the designer. In this paper, the Freeboard Advisory Group reviews these issues against the changing climate of the marine industry and maritime administrations, discusses the state of the art in analytical seakeeping programs, and outlines a series of recommendations for the establishment of a new international load line convention for the next century. The steps needs for an international program at IMO are discussed and a new convention is proposed.

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