• Title/Summary/Keyword: Table of contents

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A Study on the Providing Model of Table of Contents for Monography (단행본 목차 정보 서비스 제공 모형에 관한 연구)

  • Jeong, Hye-Mi;Chung, Jae-Young
    • Journal of Korean Library and Information Science Society
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    • v.39 no.1
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    • pp.299-318
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    • 2008
  • Library catalogs are as a tool in order to satisfy the information needs of user but currently user's need is more complex and more diverse. Therefore, currently library catalogs do not meet the user's need and have some limitations. One of the ways for solving this problem will provide for the table of contents about monography. However recently, table of contents about books is builded individual library itself so the redundancy issue is pointed to waste of the cost of materials and human resources. Therefore, it should establish a standardized table of contents information DB and each of the related institutions can collaborate and share ways to be provided to take advantage of the table of contents. In order to this, central institutions should be provided a standardized way of building DB, provided conversion program, and mutual sharing principles associated with the building of table of contents DB.

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Noise Effects on Shaking Table Test of Structures (진동대를 이용한 구조물의 내진실험시 잡음의 영향에 관한 고찰)

  • 최인길
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 1998.10a
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    • pp.312-319
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    • 1998
  • The effect of noise on the input motion for the seismic test of structures using shaking table was studied. Table motions usually contain high frequency contents which influence the PGA of input motions. It was shown that the noise influenced PGA much with minor changes in high frequency contents. The Butterworth bandpass filter can be effectively used. The adequacy of the table motion should be judged based on both the frequency contents and the PGA.

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A Study on the Statistical Characteristics for Table of Contents Text of the Books in Social Sciences Field (사회과학 분야 도서의 목차 텍스트에 대한 통계적 특성에 관한 연구)

  • Lee, Yong-Gu
    • Journal of the Korean Society for information Management
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    • v.36 no.2
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    • pp.255-273
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    • 2019
  • Recently, the table of contents (TOC) has been becoming increasingly accessible and utilized. The study conducted descriptive statistics and comparative analysis of the table of contents in terms of parts of speech and subject in text. For this purpose, this study chose the books of the social sciences field from acquisition lists of an academic library, obtained Dewey class numbers of target books from KERIS union catalog, and extracted TOC data from online bookstore. Morphological analysis was performed on each book titles and TOCs, and descriptive statistics and frequency analysis were carried out. As a result, nouns made up roughly half of the morphemes of titles or the TOCs. TOCs had about 50 times more nouns than titles. The percentage of unique nouns that appeared only in the table of contents is estimated to be 95.2% of the TOC's total nouns. The table of contents also showed a differences in its lengths depending on the field of social science.

Table Structure Recognition in Images for Newspaper Reader Application for the Blind (시각 장애인용 신문 구독 프로그램을 위한 이미지에서 표 구조 인식)

  • Kim, Jee Woong;Yi, Kang;Kim, Kyung-Mi
    • Journal of Korea Multimedia Society
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    • v.19 no.11
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    • pp.1837-1851
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    • 2016
  • Newspaper reader mobile applications using text-to-speech (TTS) function enable blind people to read newspaper contents. But, tables cannot be easily read by the reader program because most of the tables are stored as images in the contents. Even though we try to use OCR (Optical character reader) programs to recognize letters from the table images, it cannot be simply applied to the table reading function because the table structure is unknown to the readers. Therefore, identification of exact location of each table cell that contains the text of the table is required beforehand. In this paper, we propose an efficient image processing algorithm to recognize all the cells in tables by identifying columns and rows in table images. From the cell location data provided by the table column and row identification algorithm, we can generate table structure information and table reading scenarios. Our experimental results with table images found commonly in newspapers show that our cell identification approach has 100% accuracy for simple black and white table images and about 99.7% accuracy for colored and complicated tables.

Development of Table-Top System for Using Educational Contents (교육용 콘텐츠 활용을 위한 테이블 탑 시스템)

  • Kim, ki-hyun;Kim, Jung-hoon;Kang, Maeng-kwan;Park, hyun-woo;Lee, dong-hoon;Yun, tae-soo
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.108-111
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    • 2008
  • In this paper, we propose the Table-top system for using educational contents. Table-top system that is matched visual information and interaction space offers easy and intuitive interface. Moreover, because the effectiveness of education is enlarged if the content for education intuitive recognizes and an interaction, the table top system is suitable. In this paper, the multi touch,that is the advantage of the table top system, was implemented in the content for education manufactured as a flash. This system can solve the member of the instinctive interaction between a user and the contents which was short in the system like the existing desktop.

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Table Detection from Document Image using Vertical Arrangement of Text Blocks

  • Tran, Dieu Ni;Tran, Tuan Anh;Oh, Aran;Kim, Soo Hyung;Na, In Seop
    • International Journal of Contents
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    • v.11 no.4
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    • pp.77-85
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    • 2015
  • Table detection is a challenging problem and plays an important role in document layout analysis. In this paper, we propose an effective method to identify the table region from document images. First, the regions of interest (ROIs) are recognized as the table candidates. In each ROI, we locate text components and extract text blocks. After that, we check all text blocks to determine if they are arranged horizontally or vertically and compare the height of each text block with the average height. If the text blocks satisfy a series of rules, the ROI is regarded as a table. Experiments on the ICDAR 2013 dataset show that the results obtained are very encouraging. This proves the effectiveness and superiority of our proposed method.

Design and implementation of the focusable table component for mobile application using the WFC (모바일 GUI를 지원하는 WFC에서 포커싱 가능한 테이블 컴포넌트의 설계 및 구현)

  • Jun, Jong-Chan;Kim, Jeong-Ik;Kang, Young-Man;Han, Soon-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.2
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    • pp.485-492
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    • 2010
  • In this paper, we propose a focusable table component for mobile application to support table form representation of various contents and manipulation such as focusing on the contents using the WFC which is a software module to support components of the window based GUI package. It is not easy for us to express contents with table attributes on mobile devices. Java provides several table components, but these are not suitable on the mobile environment. So we design and develop the extended table component to provide properly table form representation and manipulation on the mobile devices. Also, we provide a performance comparison between th supposed table component and Java Swing's JTable.

Implementation of a Journal's Table of Contents Separation System based on Contents Analysis (내용분석을 통한 논문지의 목차분류 시스템의 구현)

  • Kwon, Young-Bin
    • The KIPS Transactions:PartB
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    • v.14B no.7
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    • pp.481-492
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    • 2007
  • In this paper, a method for automatic indexing of contents to reduce effort for inputting paper information and constructing index is considered. Existing document analysis methods can't analyse various table of contents of journal paper formats efficiently because they have many exceptions. In this paper, various contents formats for journals, which have different features from those for general documents, are analysed and described. The principal elements that we want to represent are titles, authors, and pages for each papers. Thus, the three principal elements are modeled according to the order of their arrangement, and their features are extracted. And a table of content recognition system of journal is implemented, based on the proposed modeling method. The accuracy of exact extraction ratio of 91.5% on title, author, and page type on 660 published papers of various journals is obtained.

Mapping Design between XML and Table in Relation Database (XML과 관계 데이터베이스 자료 간의 매핑 설계)

  • Kim Gil-Choon
    • Journal of Digital Contents Society
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    • v.5 no.3
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    • pp.180-186
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    • 2004
  • XML has an essential funtion of dealing with standardized document to be used in all academic areas and industrial areas as well as e-commerce. The transformation of XML data into Relation Database table is also necessary for data search using SQL language. Mapping relation between XMLand Table in Relation Database is required for transformation of XML. This arti치e studies the mapping relation between XML and Relation Database using DTD which enables to check the unity automatically whenever document is read so that it studied mapping design for the transformation of XML data info Relation Database table.

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