• Proceedings of the KSME Conference
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• 2008.11a
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• pp.625-630
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• 2008

In the manufacturing industries, viewing CAE analysis results is frequently required during the product development process for design verification. CAE data which include all related information of an analysis is, however, not efficiently shared among designers because CAE data size is in general large to deal with. In order to increase collaboration among designers this paper introduces the development of a CAE visualization system based on JT format exploiting for a large model visualization with a scene graph-based toolkit. Since CAE analysis results and JT format have different structure we developed a translator to convert the CAE result in binary format to the JT format. To show the effectiveness of JT format in showing the CAE result we also developed a prototype viewer offering basic functions provided by commercial systems. By using JT format we are able not only to reduce the size of analysis results, but to store a series of analysis results with several LOD in a data file.

• Transactions of the Korean Society of Automotive Engineers
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• v.8 no.3
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• pp.190-197
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• 2000

A graphic vehicle modeling pre-processing program and a visualization post-processing program have been developed for AutoDyn7, which is a special program for vehicle dynamics. The Rapid-App for GUI(Graphic User Interface) builder and the Open Inventor for 3D graphic library have been employed to develop these programs in Silicon Graphics workstation. A Graphic User Interface program integrates vehicle modeling pre-processor, AutoDyn7 analysis processor, and visualization post-processor. In vehicle modeling pre-processor, vehicle hard point data for a suspension model are automatically converted into multibody vehicle system data. An interactive graphics capabilities provides suspension modeling aides to verify user input data interactively. In visualization post-processor, vehicle virtual test simulation results are animated with virtual testing environments.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.637-639
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• 2000

다차원 정보 가시화(multidimensional information visualization)의 목적은 복잡하고 차원이 많은 정보 데이터(information data)를 이해하기 쉽게 그림이나 도표와 같은 특정한 형식을 이용하여 효과적으로 나타내고 비교하는데 있다. 그동안 제시되어 온 다차원 정보 가시화 기법의 대표적인 것으로는 Scatterplots, Perspective Wall, Parallel Coordinates, Glyph를 들 수 있다. 본 논문에서 소개하는 multidimensional rotating visualizer (MRV)이란 기존의 다차원 정보 가시화 기법들을 보완하여 다차원 데이터(multidimensional data)를 3차원 형식으로 보여주는 방법이다. MRV는 그중에서 특히 Glyph와 Parallel Coordinate의 특징을 혼합하여 화면상에 다차원 정보 데이터를 보여주는 새로운 시도라고 하겠다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.339-340
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• 2012

As the flood of huge data, simply static traditional diagram cannot help reader understand these dataset. Economic data analysis needs a lot of time to clearly understood. The purpose of this study is by using beautiful visualization method to analysis economic infographic displayed huge data easily, quickly and aesthetically.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.52-61
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• 2012

Text visualization is one of sectors in data visualization. This study is on methods to visually represent text's contents, structure, and form aspects based on various analytic techniques about wide range of text data. In this study -as a text visualization study-, 1) a method to find out the characteristics of a book's genre using words in the text of the book was looked into, 2) elements of visualization of a book's genre based on verification through an experiment were drew, and 3) the ways to intuitionally and efficiently visualize this were explained. According to visualization suggested by this study, first, actual genre of a book can be understood based on words used in the book. Second, with which genre is closed to the book can be found out with one glance through images of visualization. Moreover, the characteristics of complicated genres included in a book can be understood. Furthermore, the level of closeness (similarity) of a genre -which is found to be a representative genre using the number of dots, curvature of a curve, and brightness in the image- can be assumed. Finally, the outcome of this study can be used for a variety of fields including book customizing service such as a book recommendation system that provides images of personal preference books or genres through application of books favored by individual customers.

• Journal of The Korean Association For Science Education
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• v.34 no.4
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• pp.359-366
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• 2014

In this study, we try to examine its features by using the methods of systematic infographics analysis for visualization materials that are used in Physics I textbooks. Thus, after developing the analytical framework infographics, visualization materials is described in the section "information and communication" and have been analyzed separately as "data visualization" and "Infographics." The results of this study are as follows. First, the analysis framework of infographics can be classified contents of the information, visual representation, and media method. Second, the visualization materials that are displayed in the section "information and communication" of Physics I textbook are of higher quality than most schematized data that are graphically, simple information. Third, the features of visualization materials in textbooks have many relations & functions on 'information content', text & metaphor on 'visual element', illustration & comparison on 'expression type', graphic on 'expression mode', printed matter on 'media method', and horizontal & vertical type on 'the flow of attention'. From the analysis results, in the section "information and communication" of Physics I textbook uses a lot of visualization materials, however it does not provide rich infographics but only simple graphical materials. By utilizing the results of the analysis of textbook and analysis framework of infographics, which has been developed through the this study, let us hope that the opportunity to be able to grasp the importance of infographics in science education be provided.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.225-249
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• 2024

The purpose of this study is to develop an evaluation tool for map-based data visualization platforms and to conduct heuristic usability evaluations on existing platforms representing inter-regional information. We compared and analyzed the usability evaluation criteria of map-based platforms from the previous studies along with Nielsen's (1994) 10 usability evaluation principles. We proposed nine evaluation criteria, including (1) visibility, (2) representation of the real world, (3) consistency and standards, (4) user control and friendliness, (5) flexibility, (6) design, (7) compatibility, (8) error prevention and handling, and (9) help provision and documentation. Additionally, to confirm the effectiveness of the proposed criteria, four experts was invited to evaluate five domestic and international map-based data visualization platforms. As a result, the experts were able to rank the usability of the five platforms using the proposed map-based data visualization usability evaluation criteria, which included quantified scores and subjective opinions. The results of this study are expected to serve as foundational material for the future development and evaluation of map-based visualization platforms.

• Korean Journal of Remote Sensing
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• v.27 no.6
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• pp.753-760
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• 2011

The satellite Chollian was successfully launched on June 27, 2010 and is expected to perform its communication, oceanographic, and meteorological duties for seven years. The follow-up launch of the Chollian satellite is already being planned, and diverse studies are under way to enable the use of the Korean satellite data. Studies are also being actively conducted in and out of Korea to visualize the meteorological data on the open-source virtual globes. The meteorological data include ground observation, satellite, and digital-model data. In this study, an efficient three-dimensional technique was developed to visualize typhoons on the virtual globes using the Chollian satellite data. This study was conducted to provide service to the public via the scientific visualization of the satellite image data, and to create an efficient satellite image analysis environment for meteorological researchers.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1061-1075
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• 2016

In this paper, we discuss various methods to visualize high dimensional large-scale data and review some issues associated with visualizing this type of data. High-dimensional data can be presented in a 2-dimensional space with a few selected important variables. We can visualize more variables with various aesthetic attributes in graphics or use the projection pursuit method to find an interesting low-dimensional view. For large-scale data, we discuss jittering and alpha blending methods that solve any problem with overlapping points. We also review the R package tabplot, scagnostics, and other R packages for interactive web application with visualization.

• Journal of Sensor Science and Technology
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• v.23 no.2
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• pp.99-104
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• 2014

Sensor arrays based on chemical sensors produce multidimensional patterns of data that may be used discriminate between different chemicals. For the human observer, visualization of multidimensional data is difficult, since the eye and brain process visual information in two or three dimensions. To devise a simple means of data inspection from the response of sensor arrays, PCA (Principal Component Analysis) or Sammon's nonlinear mapping technique can be applied. The PCA, which is a well-known statistical method and widely used in data analysis, has disadvantages including data distortion and the axes for plotting the dimensionally reduced data have no physical meaning in terms of how different one cluster is from another. In this paper, we have investigated two techniques and proposed a combination technique of PCA and nonlinear Sammom mapping for visualization of multidimensional patterns to two dimensions using data sets from odor sensing system. We conclude the combination technique has shown more advantages comparing with the PCA and Sammon nonlinear technique individually.