• Title/Summary/Keyword: Data visualization

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A Study on the 3-D Digital Modelling of the Sea Bottom Topography (3차원 해저지형 수치모델에 관한 연구)

  • 양승윤;김정훈;김병준;김경섭
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.2
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    • pp.50-61
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    • 2002
  • In this study, 3-dimensional virtual visualization was performed for a rapid and accurate analysis of sea bottom topography, The visualization was done through the extracted data using the developed program and the generated data using the gridding method. The data extraction program was developed with AutoLISP programming language and this program was able to extract the needed sample bathymetry data from the electronic sea chart systematically as well as effectively. The gridded bathymetry data were generated by the interpolation or extrapolation method from the spatially-irregular sample data. As the result of realization for the 3-dimensional virtual visualization, it was shown a proper feasibility in the analysis of the sea bottom topography to determine the route of submarine cable burial.

A Development and Application of Data Visualization EducationProgram for 3rd Grade Students in Elementary School (초등학교 3학년 학생들을 위한 데이터 시각화 교육 프로그램 개발 및 적용)

  • Jiseon Woo;Kapsu Kim
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.481-490
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    • 2022
  • With the development of computing technology, the big data era has arrived, and we live with a lot of data around us. Elementary school students are no exception. Therefore, it is very important to learn to process data from elementary school. Since elementary school students have intuitive thinking, data visualization, which expresses data directly in pictures, is an important learning element. In this study, we study how effective elementary school students can visualize data in their daily lives to improve their information processing capabilities. Adata visualization program was developed by organizing and visualizing data using data visualization tools for the 8th class, which can be done by third graders in elementary school, and then experiencing the process of interaction. As a result of applying the developed program to 186 students in 7 classes, knowledge information processing competency factors were evaluated before and after class. As a result of the pre- and post-test, there was a significant difference in knowledge information processing capabilities. Therefore, the data visualization program developed in this study is effective.

Development on Korean Visualization Literacy Assessment Test(K-VLAT) and Research Trend Analysis (한국형 데이터 시각화 리터러시 평가 개발 및 연구 동향 분석)

  • Kim, Ha-Neul;Kim, Sung-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.11
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    • pp.1696-1707
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    • 2021
  • With the recent growth of information technology, various literacy such as digital literacy, data literacy, AI literacy is being studied. In this paper, we focus on data visualization literacy as visualization is an essential part of big data analysis and is used in several mobile apps. Visualization Literacy Assessment Test(VLAT) was developed in 2016 and we introduce how the test was developed and modified to a Korean version, K-VLAT. K-VLAT is consisted of 12 visualizations and 53 questions through a website. Additionally, to understand the research trend in visualization literacy we analyzed 81 papers that had cited the VLAT publication. We categorized the research into 4 categories with 11 sub-categories. The area of studies visualization literacy related to was understanding the relation with cognition, expanding the literacy measures, relation with education, utilization for developing user-centric dashboards or using the test to show effectiveness of visualizations. At last, we discuss about different ways to utilize K-VLAT for future research.

A Research for New Taxonomy of Information Visualization (정보시각화의 새로운 분류법에 관한 연구)

  • Bae, Jun-Woo;Lee, Suk-Won;Kim, In-Soo;Myung, Ro-Hae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.2
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    • pp.76-84
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    • 2009
  • Since too much information has been generated, it became very difficult to find out valuable and necessary information. In order to deal with the problem of information overload, the taxonomy for information visualization techniques has been based upon visualized shapes such as tree map, fisheye view and parallel coordinates, so that it was difficult to choose the right representation technique by data characteristics. Therefore, this study was designed to introduce a new taxonomy for the information visualization by data characteristics which defined by space (3D vs. multi-dimensions), time (continuous vs. discrete), and relations of data (qualitative vs. quantitative). To verify the new taxonomy, forensic data which were generated to investigate the culprit of network security was used. The result showed that the new taxonomy was found to be very efficient and effective to choose the right visualized shape for forensic data for network security. In conclusion, the new taxonomy was proven to be very helpful to choose the right information visualization technique by data characteristics.

An Efficient Visualization Technique of Large-Scale Nodes Structure with Linked Information

  • Mun Su-Youl;Ha Seok-Wun
    • Journal of information and communication convergence engineering
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    • v.3 no.1
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    • pp.49-55
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    • 2005
  • This study is to suggest a visualization technique to display the relations of associated data in an optimal way when trying to display the whole data on a limited space by dealing with a large amount of data with linked information. For example, if you track an IP address through several steps and display the data on a screen, or if you visualize the human gene information on a 3-dimensional space, then it becomes even easier to understand the data flow in such cases. In order to simulate the technique given in this study, the given algorithm was applied to a large number of nodes made in a random fashion to optimize the data and we visually observed the result. According to the result, the technique given in this study is more efficient than any previous method in terms of visualization and utilizing space and allows to more easily understand the whole structure of a node because it consists of sub-groups.

STUDY ON 3-D VIRTUAL REALITY FOR STEREOSCOPIC VISUALIZATION ON THE WEB (웹 환경에서의 입체적 가시화를 위한 3-D 가상현실 기법의 적용)

  • Lee, J.H.;Park, Y.C.;Kim, J.H.;Kim, B.S.
    • Journal of computational fluids engineering
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    • v.16 no.1
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    • pp.30-35
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    • 2011
  • In this paper, our effort to apply 3-D Virtual Reality system for stereoscopic visualization of mesh data on the web is briefly described. This study is an extension of our previous and on-going research efforts to develop an automatic grid generation program specialized for wing mesh, named as eGWing. The program is developed by using JAVA programming language, and it can be used either as an application program on a local computer or as an applet in the network environment. In this research advancing layer method(ALM) augmented by elliptic smoothing method is used for the structured grid generation. And to achieve a stereoscopic viewing capability, two graphic windows are used to render its own viewing image for the left and right eye respectively. These two windows are merged into one image using 3D monitor and the viewers can see the mesh data visualization results with stereoscopic depth effects by using polarizing glasses. In this paper three dimensional mesh data visualization with stereoscopic technique combined with 3D monitor is demonstrated, and the current achievement would be a good start-up for further development of low-cost high-quality stereoscopic mesh data visualization system which can be shared by many users through the web.

Multi-gigabyte Multimedia Collections Using Qis Visualization Spreadsheet

  • 지승현
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.207-214
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    • 2004
  • The Qis visualizational spreadsheet environment is shown to be extremely effective in supporting the visualization of multi-gigabyte multi-dimensional data sets. The Qis has a novel framestack that is the 3-D arrangement of spreadsheet elements. It enables the visualization spreadsheet to effectively manage, rapidly organize, and compactly encapsulate multi-dimensional data sets for visualization. Using several experiments with scientific users, the Qis has been demonstrated to be a highly interactive visual browsing tool for the analysis o( multidimensional data, displaying 2-D 3-D graphics, and rendering in each frame of the spreadsheet.

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Research on Cyber IPB Visualization Method based on BGP Archive Data for Cyber Situation Awareness

  • Youn, Jaepil;Oh, Haengrok;Kang, Jiwon;Shin, Dongkyoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.749-766
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    • 2021
  • Cyber powers around the world are conducting cyber information-gathering activities in cyberspace, a global domain within the Internet-based information environment. Accordingly, it is imperative to obtain the latest information through the cyber intelligence preparation of the battlefield (IPB) process to prepare for future cyber operations. Research utilizing the cyber battlefield visualization method for effective cyber IPB and situation awareness aims to minimize uncertainty in the cyber battlefield and enable command control and determination by commanders. This paper designed architecture by classifying cyberspace into a physical, logical network layer and cyber persona layer to visualize the cyber battlefield using BGP archive data, which is comprised of BGP connection information data of routers around the world. To implement the architecture, BGP archive data was analyzed and pre-processed, and cyberspace was implemented in the form of a Di-Graph. Information products that can be obtained through visualization were classified for each layer of the cyberspace, and a visualization method was proposed for performing cyber IPB. Through this, we analyzed actual North Korea's BGP and OSINT data to implement North Korea's cyber battlefield centered on the Internet network in the form of a prototype. In the future, we will implement a prototype architecture based on Elastic Stack.

New Scheme for Intelligent Voyage Data Recorder Analysis System and Development of Visualization Module of the VDR (지능형 항해정보기록 분석 시스템 설계 및 가시화 모듈 개발)

  • Hwang, Il-Kyu;Lee, Kyung-Ho;Han, Young-Soo
    • Journal of Ocean Engineering and Technology
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    • v.22 no.5
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    • pp.126-131
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    • 2008
  • The voyage data is very important for safety of ships, and duty being effectuated by the installation of voyage data record (VDR) on ships. VDR is a black-box, and it contains 14 kinds of voyage data as text. But it is not easy to understand when the accident happened because voyage data is saved as complicated texts. User interface (UI), analysis, visualization system, which works for assist to gather information about situation of accident, was developed. It will be possible to develop onboard ship monitoring and voyage prediction system by the VDR visualization system's development in near future.

Data visualization education using the storytelling with Minard's figurative map (Minard의 정보맵과 함께 하는 스토리텔링을 이용한 데이터시각화 교육)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.31 no.2
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    • pp.167-188
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    • 2018
  • Minard's figurative map is an infographic on Napoleon's Russian Campaign of 1812. Tufte (The Visual Display of Quantitative Information, Graphics Press, 1983) declared that Napoleon's March "may well be the best statistical graphic ever produced." We can use this data map as storytelling material for data visualization education. In this paper, with Minard's figurative map, we study four themes (infographics, information design, Minard, and the Russian Campaign) in data visualization education.