• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.367-369
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• 2014

Digital data are mostly comprised of unstructured data such as text file, office file, image file, video file, and drawing file. The recent digital data being generated and used within enterprise are sharply increasing in quantity. Those digital data are becoming significant as digital assets, but the value of digital assets is not properly evaluated. Accordingly, this study will present a model to evaluate the value of unstructured data as digital assets within enterprise and will also present a differentiated management plan for unstructured data as assets.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.9-13
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• 2021

With the development of communication technology, various forms of digital crime are increasing, and the need for digital forensics is increasing. Moreover, if a textual document containing sensitive data is deliberately deleted or modified by a particular person, it could be important data to prove its connection to a particular person and crime through a system that checks for data modification detection. This paper proposes a data modification detection system that can analyze the hash data, file size, file creation date, file modification date, file access date, etc. of SHA-256, one of the encryption techniques, focusing on text files, to compare whether the target text file is modified or not.

• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.49-56
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• 2010

In this paper, we implement a Hadoop based cluster for cloud computing and evaluate the performance of this cluster based on application characteristics by executing RandomTextWriter, WordCount, and PI applications. A RandomTextWriter creates given amount of random words and stores them in the HDFS(Hadoop Distributed File System). A WordCount reads an input file and determines the frequency of a given word per block unit. PI application induces PI value using the Monte Carlo law. During simulation, we investigate the effect of data block size and the number of replications on the execution time of applications. Through simulation, we have confirmed that the execution time of RandomTextWriter was proportional to the number of replications. However, the execution time of WordCount and PI were not affected by the number of replications. Moreover, the execution time of WordCount was optimum when the block size was 64~256MB. Therefore, these results show that the performance of cloud computing system can be enhanced by using a scheduling scheme that considers application's characteristics.

• Proceedings of the Korean Society for Information Management Conference
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• 1996.08a
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• pp.15-18
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• 1996

본 논문은 본문 전체가 기계가독형 화일로 구성된 텍스트 전문데이터베이스와 이미지화일로 구성된 이미지 전문데이터베이스와의 검색효율성을 비교함으로써 도서관과 최종이용자의 입장에서 바람직한 전문데이터베이스가 어떤 것인지를 제안하고자 한다.

• Journal of the Korean Society for information Management
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• v.17 no.1
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• pp.67-87
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• 2000

The purpose of the study is to develop an integrated viewer which can display both text and image files on the Internet environment. Up to now, most viewers for full-text databases can be displayed documents only by image or graphic viewers. The newly developed system can compress document files in commercial word processors (e.g, 한글TM, WordTM, ExceITM, PowerpointTM, HunminJungumTM, ArirangTM, CADTM), as well as conventional TIFF image file in smaller size, which were converted into DVI(DeVice Independent) file format, and display them on computer screen. IDoc Viewer was evaluated to test its performance by user group, consisting of 5 system developers, 5 librarians, and 10 end-users. IDoc Viewer has been proved to be good or excellent at 20 out of 26 check lists.

• Korean Journal Plant Pathology
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• v.10 no.2
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• pp.99-104
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• 1994

A computer-based diagnosing system for diseases of grasses, ornamental plant and fruit trees was developed using a 16 bit personal computer (Model Acer 900) and BASIC was used as a programing language. the developed advisory system was named as Korean Plant Disease Advisory System (KOPDAS). The diagraming system files were composed of a system operation file and several database files. The knowledge-base files are composed of text files, code files and implement program files. The knowledge-base of text files are composed of 79 files of grasses diseases, 122 files of ornamental plant diseases and 67 files of fruit tree diseases. The information of each text file include disease names, causal agents, diseased parts, symptoms, morphological characteristics of causal organisms and control methods for the diagnosing of crop diseases.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.1
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• pp.33-44
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• 2024

This study developed e-book content in order to use e-books as a tool to provide more efficient classes to learners who are familiar with smart devices and online spaces. E-book contents were produced using Sigil-0.9.10. The development process is as follows. Before e-book development, it is necessary to prepare manuscript files, image files to be inserted, fonts to be used, and e-book covers. After inserting the book cover images, it is necessary to register the table of contents using the title tag and register the free fonts. Also, a style must be created for text or images used in the main text connected to a file containing the entire text. Then, after separating the entire text file into separate files according to each chapter, the text is completed in turn. E-books were produced focusing on hyperlink functions so that educational content and various example images could be accessed. Currently, there is a lack of research on e-books as textbooks in universities within the fashion design major. In the future, if e-book contents are developed according to the characteristics of courses and the level of learners, they can be used as effective teaching tools.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.100-102
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• 2001

Intensive I/O bandwidth demand of the multimedia streaming service puts significant burden on file system. Different from the legacy text based or image data, the semantics of the data in multimedia format can be significantly affected if the data block is not delivered by the predefined deadline. The legacy file system used in Unix or Unix like environment is designed to efficiently handle the files who sizes range from few hundreds of byte to several tens of gigabytes. This fundamental design philosophy results in the file system based on multi level skewed tree structure. Multi level i-node structure has significant drawback when the application performs sequential read operation. In this article, we present the result of the performance study of the file system which is specifically designed for handling multimedia streams. We implemented the file system on Linux Operating System environment and examines the performance behavior of the file system under streaming I/O workload. The result of the study shows that the proposed file system performs much more efficiently than the ext2 file system of Linux does.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.5
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• pp.119-126
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• 2019

Typical software developed and used by North Korea is Red Star and internal application software. However, most of the existing research on the North Korean software is the software installation method and general execution screen analysis. One of the ways to identify software vulnerabilities is file fuzzing, which is a typical method for identifying security vulnerabilities. In this paper, we use file fuzzing to analyze the security vulnerability of the software used in North Korea's Seogwang Document Processing System. At this time, we propose the analysis of open document text (ODT) file produced by Seogwang Document Processing System, extraction of node based on Document Object Mode (DOM) to determine test target, and generation of mutation file through insertion and substitution, this increases the number of crash detections at the same testing time.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.41-48
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• 2008

This study focuses on the modeling file search engine and suggesting modified file search schema based on weight value using file contents in order to improve the performance in terms of search accuracy and matching time. Most of the file search engines have used string matching algorithms like KMP(Knuth.Morris.Pratt), which may limit portability and fast searching time. However, this kind of algorithms don't find exactly the files what you want. Hence, the file search engine based on weight value using file contents is proposed here in order to optimize the performance for mobile environments. The Comparison with previous research shows that the proposed schema provides better.