• 제목/요약/키워드: Smart Document

검색결과 119건 처리시간 0.019초

비접촉 근거리 무선통신을 이용한 문서관리 시스템의 설계 및 구현 (Design and Implementation of Document Management System using Near Field Communication)

  • 김철호;이우용;황민태
    • 한국멀티미디어학회논문지
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    • 제17권5호
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    • pp.613-622
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    • 2014
  • In spite of the convenience and cost-effectiveness of an electronic document management system the paper-type documents still should be stored for a comparison against the original documents. In this paper, for the efficient management of paper documents, we designed and implemented a document management system using smart devices equipped with NFC(Near Field Communication) technology. To implement the proposed system we designed a database for document management and developed an Android application for smart device using Eclipse 3.0 and Java programming. Whenever we touch the smart phone on the NFC tags which are attached to the paper-type documents and document boxes, it is possible to registering, searching and carrying in and out services for documents and boxes. This study provides smart phone users with systematic, economical and convenient paper-type documents management functions, and thus enhances the business efficiency.

유비쿼터스 환경에서 사용자의 일정에 따른 지능 정보 제공 시스템 (Smart Adapted Service in Ubiquitous)

  • 안호석;사인규;백영민;안윤석;최진영
    • 전기학회논문지
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    • 제57권3호
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    • pp.480-487
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    • 2008
  • In this paper, we propose a Smart Adapted Service which can manage a schedule automatically. Smart Adapted Service gives a notice beforehand regarding information associated with the schedule, by searching the Internet. If the user has written down the name of goods or food which he wants to buy, Smart Adapted Service finds the most suitable store nearby him using the user's favorite list. The user's favorite list is created by Outlook Web Access System by analysing the schedule and habits of the user. User can access Smart Document System remotely through the Internet using Outlook Web Access System. We developed an Auto AP Roaming System for seamless communication and Smart Document System for arranging the information. We evaluated the system and verified that it is convenient to use and working well.

Automatic Linkage Method Between Email and Block Structure to Store Construction Project Documents in The Blockchain

  • Kim, Eu Wang;Park, Min Seo;Kim, Jong Inn;Wei, Ameng;Kim, Kyoungmin;Kim, Kyong Ju
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.886-892
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    • 2022
  • In construction projects, it is common to exchange documents using email because of convenience. In this study, a method extracting and organizing block information automatically based on email was developed. This method is composed of document exchange and archiving processes, which are difficult to manage and vulnerable to loss. Therefore, this study aims to develop a solution that can automatically link email and block information. The block data components are designed to derive from email exchange and user-additional input information. Also, automatically generating blocks process including extraction and conversion of information was proposed. This solution can lead to promote the convenience of project document management in terms of identifying the document flow and preventing loss of information.

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카메라기반의 왜곡이 보정된 흑백 문서 영상 생성 (Distortion Corrected Black and White Document Image Generation Based on Camera)

  • 김진호
    • 한국콘텐츠학회논문지
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    • 제15권11호
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    • pp.18-26
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    • 2015
  • 스캐너 대신 카메라를 이용하여 문서의 사본 영상을 촬영하면 촬영 각도에 따라 기하학적 왜곡이 발생하거나 그림자가 생길 수 있다. 본 논문에서는 카메라로 촬영한 문서 영상으로부터 왜곡을 보정하고 그림자 영향을 제거한 흑백 문서 영상 생성 알고리즘을 제안하였다. 카메라 렌즈의 방사 왜곡으로 인해 휘어진 테두리를 펴거나 촬영 각도에 따라 유입된 문서 외부 영역을 제거하기 위한 기하학적 보정을 위해 2차 미분 필터 기반의 문서 테두리 검출 방안을 마련하였다. 그리고 적응적 이진화 방법으로 그림자를 제거한 흑백 문서 영상을 생성하였다. 제안한 왜곡 보정 흑백 문서 영상 생성 알고리즘을 스마트 폰 카메라로 촬영한 문서 영상들을 대상으로 실험한 결과 우수한 처리 결과를 얻을 수 있었다.

현장 중심 서비스를 위한 응용레벨 모바일 서버의 설계 및 구현 (Design and Implementation of an Application Level Mobile Server for On-the-site Oriented Services)

  • 김선일;정진만;윤영선;은성배;소선섭;차신
    • 한국멀티미디어학회논문지
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    • 제21권3호
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    • pp.358-368
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    • 2018
  • The mobile characteristics of the smart phone are well suited to on-the-site oriented services and are being utilized in a variety of ways. However, since most applications operate on a central server basis, Internet access is inevitable, and there are various problems such as an increase in server maintenance cost and security deterioration. Although researches have been proposed to utilize the smart phone itself as a server to improve it, these methods are based on downsizing the PC-based web server or modifying the smart phone kernel. These methods have the problems that a end user has to use the rooting, and they are not able to effectively utilize various communication means of a smart phone. In this paper, we propose a design and implementation of an application level smart phone web server. The server receives the document request from the remote via the Internet and in the local area using the WPAN. At this time, the web document is stored as an internal file structure of the smart phone application. We proposed the phttp protocol which uses server's phone number as ID for document request. Through the implementation, we analyzed the capacity and latency of stored data and its effectiveness is evaluated.

문장 정보량 기반 문서 추출 요약의 효과성 제고 (Improving the effectiveness of document extraction summary based on the amount of sentence information)

  • 김은희;임명진;신주현
    • 스마트미디어저널
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    • 제11권3호
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    • pp.31-38
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    • 2022
  • 문서 추출 요약 연구에서는 문장 간 관계를 기반으로 중요한 문장을 선택하는 다양한 방법들이 제안되었다. 문장의 도합유사도를 이용한 한국어 문서 요약에서는 문장의 도합유사도를 문장 정보량으로 보고, 이를 기준으로 중요한 문장을 선택하여 요약문을 추출하였다. 그러나 이는 각 문장이 전체 문서에 기여하는 다양한 중요도를 고려하지 못한다는 문제가 있다. 이에 본 연구에서는 문장의 정량적 정보량과 의미적 정보량을 기반으로 중요한 문장을 선택하여 요약문을 제공하는 문서 추출 요약 방법을 제안한다. 실험 결과, 추출 문장 일치도는 58.56%, ROUGE 점수가 34로 비교 연구보다 우수한 성능을 보였으며, 딥러닝 기반 방법과 비교해 추출 방법은 가볍지만 성능은 유사하였다. 이를 통해 문장 간 의미적 유사성을 기반으로 정보를 압축해 나가는 방식이 문서 추출 요약에서 중요한 접근 방법임을 확인하였다. 또한 빠르게 추출된 요약문을 기반으로 문서 생성요약단계를 효과적으로 수행할 수 있으리라 기대한다.

Forgery Detection Mechanism with Abnormal Structure Analysis on Office Open XML based MS-Word File

  • Lee, HanSeong;Lee, Hyung-Woo
    • International journal of advanced smart convergence
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    • 제8권4호
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    • pp.47-57
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    • 2019
  • We examine the weaknesses of the existing OOXML-based MS-Word file structure, and analyze how data concealment and forgery are performed in MS-Word digital documents. In case of forgery by including hidden information in MS-Word digital document, there is no difference in opening the file with the MS-Word Processor. However, the computer system may be malfunctioned by malware or shell code hidden in the digital document. If a malicious image file or ZIP file is hidden in the document by using the structural vulnerability of the MS-Word document, it may be infected by ransomware that encrypts the entire file on the disk even if the MS-Word file is normally executed. Therefore, it is necessary to analyze forgery and alteration of digital document through internal structure analysis of MS-Word file. In this paper, we designed and implemented a mechanism to detect this efficiently and automatic detection software, and presented a method to proactively respond to attacks such as ransomware exploiting MS-Word security vulnerabilities.

Mongolian Traditional Stamp Recognition using Scalable kNN

  • Gantuya., P;Mungunshagai., B;Suvdaa., B
    • International journal of advanced smart convergence
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    • 제4권2호
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    • pp.170-176
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    • 2015
  • The stamp is one of the crucial information of traditional historical and cultural for nations. In this paper, we purpose to detect official stamps from scanned document and recognize the Mongolian traditional, historical stamps. Therefore we performed following steps: first, we detect official stamps from scanned document based on red-color segmentation and document standard. Then we collected 234 traditional stamp images with 6 classes and 100 official stamp images from scanned document images. Also we implemented the processing algorithms for noise removing, resize and reshape etc. Finally, we proposed a new scale invariant classification algorithm based on KNN (k-nearest neighbor). In the experimental result, our proposed a method had shown proper recognition rate.

Knowledge Domain and Emerging Trends of Intelligent Green Building and Smart City - A Visual Analysis Using CiteSpace

  • Li, Hongyang;Dai, Mingjie
    • 국제학술발표논문집
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    • The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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    • pp.24-31
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    • 2017
  • As the concept of sustainability becomes more and more popular, a large amount of literature have been recorded recently on intelligent green building and smart city (IGB&SC). It is therefore needed to systematically analyse the existing knowledge structure as well as the future new development of this domain through the identification of the thematic trends, landmark articles, typical keywords together with co-operative researchers. In this paper, Citespace software package is applied to analyse the citation networks and other relevant data of the past eleven years (from 2006 to 2016) collected from Web of Science (WOS). Through this, a series of professional document analysis are conducted, including the production of core authors, the influence made by the most cited authors, keywords extraction and timezone analysis, hot topics of research, highly cited papers and trends with regard to co-citation analysis, etc. As a result, the development track of the IGB&SC domains is revealed and visualized and the following results reached: (i) in the research area of IGB&SC, the most productive researcher is Winters JV and Caragliu A is most influential on the other hand; (ii) different focuses of IGB&SC research have been emerged continually from 2006 to 2016 e.g. smart growth, sustainability, smart city, big data, etc.; (iii) Hollands's work is identified with the most citations and the emerging trends, as revealed from the bursts analysis in document co-citations, can be concluded as smart growth, the assessment of intelligent green building and smart city.

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딥러닝 기반의 문서요약기법을 활용한 뉴스 추천 (News Recommendation Exploiting Document Summarization based on Deep Learning)

  • 허지욱
    • 한국인터넷방송통신학회논문지
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    • 제22권4호
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    • pp.23-28
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    • 2022
  • 최근 스마트폰 또는 타블렛 PC와 같은 스마트기기가 정보의 창구 역할을 하게 되면서 다수의 사용자가 웹포털을 통해 웹 뉴스를 소비하는 것이 더욱 중요해졌다. 하지만 인터넷 상에 생성되는 뉴스의 양을 사용자들이 따라가기 힘들며 중복되고 반복되는 폭발하는 뉴스 기사에 오히려 혼란을 야기 시킬 수도 있다. 본 논문에서는 뉴스 포털에서 사용자의 질의로부터 검색된 뉴스후보들 중 KoBART 기반의 문서요약 기술을 활용한 뉴스 추천 시스템을 제안한다. 실험을 통해서 새롭게 수집된 뉴스 데이터를 기반으로 학습한 KoBART의 성능이 사전훈련보다 더욱 우수한 결과를 보여주었으며 KoBART로부터 생성된 요약문을 환용하여 사용자에게 효과적으로 뉴스를 추천하였다.