• Title/Summary/Keyword: Document research

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Research on the usage status of Job Instructions in domestic enterprises holding ISO certification (국내 ISO 인증기업의 실무지침서 운용실태에 대한 조사연구)

  • Syn, Dong-Sig;Jung, Jang-Woo;Pack, Jong-Yop;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.10 no.4
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    • pp.165-171
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    • 2008
  • In the policy management system of the safety&health(same as the environment and the quality), the documentation of the management system is required in various international standards & guides. In case of 3 level classification of the system documents, it generally will be identified such name as the manual, the procedure(or the process) and the job instruction. Each level of the document has the unique role and usage though, the job instructions, especially, would be developed to support the practical job worker. Considering such document level, the job instructions should be reflect the latest know-how of the job-handling methods. And that, it should be used at any times by the related job worker. This paper is prepared for surveying the actual usage status of the job instructions of the domestic enterprises holding ISO certificate and trying to suggest the better way of application of the system documents.

Performance Comparison of Database Management Methods on XML Document Storage Functions for both Commerce and Military Applications (XML 문서저장에 관한 민군겸용 데이터베이스 관리체계의 성능비교)

  • Gang, Seok-Hun;Lee, Jae-Yun;Lee, Mal-Sun
    • Journal of National Security and Military Science
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    • s.2
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    • pp.237-260
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    • 2004
  • As the research work about XML based on the development of Internet and according to the information exchange standard is being carried out, the need of discovering new methods to store XML documents and manage them efficiently according to the frequency of large-capacity XML documents increases. Consequently, as a kind of back-end database system, XML storage systems such as RDBMS, OODBMS and Native XML DBMS etc. are coming forth in order to save XML documents. It is an urgent task to make comparisons among usage expense, function comparison storage, inquiry, and manage dimension for each DBMS. This paper makes an analysis and comparison of DTD-independent XML document access methods in RDBMS, OODBMS and Native XML DBMS for XML storage and management. After analyzing the advantages and disadvantages of each access method and comparing the function of typical commerce DBMS such as Oracle 8i, eXcelon and Tamino for finding the possibility of military applications, an another appropriate method to save XML documents is proposed as to find an implementation approach to save structural XML documents.

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Automatic Retrieval of SNS Opinion Document Using Machine Learning Technique (기계학습을 이용한 SNS 오피니언 문서의 자동추출기법)

  • Chang, Jae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.5
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    • pp.27-35
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    • 2013
  • Recently, as Social Network Services(SNS) are becoming more popular, much research has been doing on analyzing public opinions from SNS. One of the most important tasks for solving such a problem is to separate opinion(subjective) documents from others(e.g. objective documents) in SNS. In this paper, we propose a new method of retrieving the opinion documents from Twitter. The reason why it is not easy to search or classify the opinion documents in Twitter is due to a lack of publicly available Twitter documents for training. To tackle the problem, at first, we build a machine-learned model for sentiment classification using the external documents similar to Twitter, and then modify the model to separate the opinion documents from Twitter. Experimental results show that proposed method can be applied successfully in opinion classification.

Efficient Retrieval of Short Opinion Documents Using Learning to Rank (기계학습을 이용한 단문 오피니언 문서의 효율적 검색 기법)

  • Chang, Jae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.4
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    • pp.117-126
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    • 2013
  • Recently, as Social Network Services(SNS), such as Twitter, Facebook, are becoming more popular, much research has been doing on opinion mining. However, current related researches are mostly focused on sentiment classification or feature selection, but there were few studies about opinion document retrieval. In this paper, we propose a new retrieval method of short opinion documents. Proposed method utilizes previous sentiment classification methodology, and applies several features of documents for evaluating the quality of the opinion documents. For generating the retrieval model, we adopt Learning-to-rank technique and integrate sentiment classification model to Learning-to-rank. Experimental results show that proposed method can be applied successfully in opinion search.

A Design of Encryption System Using XML Signature in Mobile Environment (모바일 환경에서의 XML 전자서명을 이용한 암호화 시스템 설계)

  • Sung, Kyung
    • The Journal of Korean Association of Computer Education
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    • v.7 no.4
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    • pp.61-66
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    • 2004
  • Electronic commerce that use Mobile Phone according as the radio Internet develops rapidly and performance of Mobile Phone develops is activated. It is said that electronic commerce that use these Mobile Phone is M-Commerce. Also, the most important controversial point is data security or an user certification technology at these electronic commerce, there are research reactor WPKI and WTLS about this technology. However, when transmit message again after sign electronic documents in Mobile Phone, if do not encrypt, danger exists to be exposed to outside. Therefore, in this paper, designed system to encipher document that handle and handles user certification applying XML electronic sign technique in Mobile environment. Prevent of XML electronic sign in Mobile environment through this paper, and can stave off danger from outside by enciphering electronic sign document.

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RDF Document validator and N-Triple Generator for Creation mil Maintenance of Metadata (메타데이타의 생성 및 관리를 위한 RDF 문서 검증기와 N-Triple 생성기)

  • Cho, Sung-Hoon;Song, Byoung-Youl;Cho, Hyun-Gyu;Choi, Eui-In
    • The KIPS Transactions:PartB
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    • v.11B no.5
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    • pp.619-624
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    • 2004
  • The quantity of business information like to be shared enterprise information and business catalog quickly increased because of activating e-commerce. Necessary of metadata management which is using RDF was required. RDF metadata management does not have to be restricted by RDF/RDFS knowledges, has to describe web resources and has to support metadata validation. But research which supports this is not enough. In this paper we enable to create and manage RDF/RDFS document using various interfaces, change from metadata to N-Triple and verify metadata validation.

A Study on the Restoration of the Russian Legation in Jeongdong Seoul in the Latter Era of Choseon Dynasty (구한말 서울 정동의 러시아공사관에 대한 복원적 연구)

  • Kim, Jung-Shin;Valeriy A., Savostenko;Kim, Jai-Myung
    • Journal of architectural history
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    • v.19 no.6
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    • pp.61-78
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    • 2010
  • Old Russian Legation(1890) has been attracted public attention in terms of politics and foreign affairs than architectural style because of conditions of location and historical incident. Though it was heavily damaged during the Korean war, and only the tower has been restored, it is very important in architectural history in Korea, because it is the oldest western style brick building which is existing with the old bishop's house in Myeong-Dong. But it has been impossible to reveal exactly the original form as there has been few reliable materials(picture, drawing, document) and it's remains were nearly destroyed owing to development of the surroundings. Recently the decisive document(site outline map) was found, and new research on the architect Sabatine was studied. So I can get into close with the original form by the results. In this study, I tried to conjecture the original form of the old Russian legation(the size, style, plan and indoor space, arrangement of attached facilities) and I checked the location and structure of the room where King Gojong stayed when he took refuge, and the use of the passage in the basement.

Characteristics of Location Accuracy in KOMPSAT-2 (다목적실용위성2호 위치정확도 특성)

  • Seo, Doo-Chun;Park, Ji-Yong;Choi, Hea-Sun;Jung, Jae-Heon;Hong, Ki-Byung;Lee, Sun-Gu
    • Aerospace Engineering and Technology
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    • v.12 no.1
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    • pp.144-151
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    • 2013
  • The KOrea Multi-Purpose SATellite-2 (KOMPSAT-2) is to provide 1.0 m Ground Sample Distance (GSD) panchromatic image and 4.0 m GSD multi-spectral image data for various applications. The KOMPSAT-2 system performs mission applications in the field of earth observations, covering land, sea, coastal zones, and Geographic Information Systems (GIS). The purpose of this document is to compute ground coordinate using satellite position, velocity and attitude data in KOMPSAT-2 and document for work-flow of location accuracy correction in KOMPSAT-2.

Web Site Construction Using Internet Information Extraction (인터넷 정보 추출을 이용한 웹문서 구조화)

Keyword Reorganization Techniques for Improving the Identifiability of Topics (토픽 식별성 향상을 위한 키워드 재구성 기법)

  • Yun, Yeoil;Kim, Namgyu
    • Journal of Information Technology Services
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    • v.18 no.4
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    • pp.135-149
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    • 2019
  • Recently, there are many researches for extracting meaningful information from large amount of text data. Among various applications to extract information from text, topic modeling which express latent topics as a group of keywords is mainly used. Topic modeling presents several topic keywords by term/topic weight and the quality of those keywords are usually evaluated through coherence which implies the similarity of those keywords. However, the topic quality evaluation method based only on the similarity of keywords has its limitations because it is difficult to describe the content of a topic accurately enough with just a set of similar words. In this research, therefore, we propose topic keywords reorganizing method to improve the identifiability of topics. To reorganize topic keywords, each document first needs to be labeled with one representative topic which can be extracted from traditional topic modeling. After that, classification rules for classifying each document into a corresponding label are generated, and new topic keywords are extracted based on the classification rules. To evaluated the performance our method, we performed an experiment on 1,000 news articles. From the experiment, we confirmed that the keywords extracted from our proposed method have better identifiability than traditional topic keywords.