• The KIPS Transactions:PartC
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• v.10C no.4
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• pp.405-412
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• 2003

As the XML is approved standard language by the UN, the progress which complemented the XML security has being processed rapidly. In this paper, we design and implement the "XML-Signcryption" as a security mechanism to protect the XML document that can operate between other platforms. The signature and encryption which is the standard specification in W3C needs to be able to proceed them separately. Generally the signature and encryption require four times modular exponential operation, however the signcryption only needed three times modular exponential operation. This will benefit overall system effectiveness in terms of cost. And this scheme offers to convenient the user, because the signature and encryption implement as a single XML format. This tool can save the parsing time as a number of tags is few within a document. And also, in this paper, based on a research of Web Services security, we can apply XML-Signcryption to the SOAP message to provide the security services. Based on the XML-Signcryption scheme which provides confidentiality, integrity, authentication and non-repudiation to the XML document and Web Service security simultaneously.

• Aerospace Engineering and Technology
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• v.7 no.1
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• pp.210-215
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• 2008

Most of technology information obtained from KSLV-I program have been managed by Program Life-Cycle Management System(PLMS). As involving technologies in the program require high level of confidentiality as those may be dealt with entities in international cooperation, the enforcement of strict security policy is inevitable. Therefore, a document security system has been developed to enhance protection in document management. This paper describes the overview and development status of the security system, integrated with PLMS, which aims at preventing illegal access and inadvertant leakage of the technology information.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.49-57
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• 2010

This paper proposes a Korean document. categorization algorithm using Back Propagation Neural Network(BPNN) with Singular Value Decomposition(SVD). BPNN makes a network through its learning process and classifies documents using the network. The main difficulty in the application of BPNN to document categorization is high dimensionality of the feature space of the input documents. SVD projects the original high dimensional vector into low dimensional vector, makes the important associative relationship between terms and constructs the semantic vector space. The categorization algorithm is tested and compared on HKIB-20000/HKIB-40075 Korean Text Categorization Test Collections. Experimental results show that BPNN algorithm with SVD achieves high effectiveness for Korean document categorization.

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.285-288
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• 2004

This paper has been studied a EMR Sharing System using HL7 Message and CDA Document. HL7 Message is a Transaction for clinical data sharing between hospital-based. The CDA for document exchange supports shared care between hospital-based and community-based physicians, knowledge integration by permitting external links to other documents, and outcomes research through the capture of discrete and coded clinical data. And then this paper has designed XML based CDA for document exchange and interactive Hospital-based Transaction based on HL7 Message.

• Electronics and Telecommunications Trends
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• v.14 no.4 s.58
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• pp.104-113
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• 1999

국제 표준화 기구인 ITU, ISO, ISO/IEC/JTC1을 비롯해 지역표준화 기구인 ETSI, 국가기관인 Committee T1, TTA, TTC 등은 적기의 표준공급 및 전자적인 표준화 문서유통을 통한 신속한 표준보급 및 제정을 위해 EDH(Electronic Document Handling)라는 전자정보유통시스템을 구축해놓고 있다. 즉, 각자의 표준화 Workflow에 맞는 전자적 문서처리시스템을 구축하고, 이를 이용하여 표준화 진행에 관련된 각종 정보를 효율적으로 검색하고 처리할 수 있는 환경을 구축하는 데 많은 노력을 기울이고 있다. 본 고에서는 ITU-T의 최근 새롭게 구현된 ITU Web에서의 정보제공형태와 웹기반 EDH 활용지침 그리고, 이를 주도하고 있는 ITU-T/TSAG/WP3 관련 활동현황을 분석하고 향후 방향을 소개한다.

• Journal of Korea Multimedia Society
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• v.18 no.7
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• pp.843-852
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• 2015

Binarization of document images is a critical pre-processing step required for character recognition. Even though various research efforts have been devoted, the quality of binarization results largely depends on the noise amount and condition of images. We propose a new binarization method that combines Maximally Stable External Region(MSER) with down-sampling. Particularly, we propose to apply different threshold values for character regions, which turns out to be effective in reducing noise. Through a set of experiments on test images, we confirmed that the proposed method was superior to existing methods in reducing noise, while the increase of execution time is limited.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.651-658
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• 2021

In this paper, we propose methods for character recognition and classification for table items through deep learning. First, table areas are detected in a document image through CNN. After that, table areas are separated by separators such as vertical lines. The text in document is recognized through a neural network combined with CNN and RNN. To correct errors in the character recognition, multiple candidates for the recognized result are provided for a sentence which has low recognition accuracy.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.695-702
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• 2022

In this paper, we propose the method of a table structure recognition in various table types for document processing automation. A table with items surrounded by ruled lines are analyzed by detecting horizontal and vertical lines for recognizing the table structure. In case of a table with items separated by spaces, the table structure are recognized by analyzing the arrangement of row items. After recognizing the table structure, the areas of the table items are input into OCR engine and the character recognition result output to a text file in a structured format such as CSV or JSON. In simulation results, the average accuracy of table item recognition is about 94%.

• Proceedings of the Korean Society of Applied Pharmacology
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• 1995.04a
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• pp.21-27
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• 1995

This document collects Center for Drug Evaluation and Research (CDER) and Center for Devices and Radiological Health (CDRH) guidance documents, citations to the primary literature, and other published and unpublished documents relevant to development and approval of drug/device combinations collected by the CDRH Division of Cardiovascular, Respiratory and Neurological Devices (DCRND). Since the Master Bibliography number represents an accession number, an alphabetical (by author) listing appears at the end of the document, Any citation marked with a, is on file in the DCRND offices, 340B, in the Piccard Building (HFZ-450), 1390 Piccard Avenue, Rockville, MD 20850.

• Cross-Cultural Studies
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• v.35
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• pp.269-291
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• 2014

China has countless ancient books that contain thousand years of continuously recorded history across every generation. It is essential to organize the ancient cultural literature in order to better communicate. The study of ancient Chinese literature recently has become a subject of priority. Shi-Ji, one of the representative documents, is used for record keeping because of its experience with ancient Chinese historic materials and artifacts. This draft of Shi-ji is based on ancient Chinese research methods with the purpose to explore the character, phonology, syntax, exegesis and collation of historical value.