• Journal of the HCI Society of Korea
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• v.10 no.2
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• pp.27-33
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• 2015

Augmented reality (AR) adds on and displays synthetic information spatially registered to real world objects. As a particular and important type of information visualization technique, AR possesses unique advantages and limitations. In this paper, we put forth three requirements for an effective augmentation, namely, "naturalness," "visibility," and "persistence," and review notable augmentation techniques around these three perspectives. Based on the review and analysis, future directions for AR based information visualization techniques are proposed.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.35-42
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• 2012

This study will research the possibility about the extension from aesthetic artwork of information visualization to performance area. In information visualization fields, the function of transmitting information is important factor. In addition, the relationship with the audience concerning immersion and interactivity is also significant. Therefore, if an artwork in information visualization can extend to a performance, this study proposes that it is necessary to consider what elements are needed to intensify sensorium for the audience in that artwork. In order to solve that question, this study introduces and analyzes the installation artworks by Ben Rubin and Mark hansen in 2001. From this case study, we suggest three elements-the performing self, the performing interface and the dramatic pattern-to amplify sensorium by hypermediacy for the audience. This research would contribute to the understanding aesthetic artworks based on information visualization in terms of performing arts.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.477-482
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• 2021

The integrated underground space map system provides information on infrastructure that requires security, but to prevent rupture accidents during excavation work at the underground construction site, it must provide information on all underground facilities on the site. Providing additional information other than the object of interest to the user is a factor that increases the risk of information leakage of security data. In this paper, we design the visualization filtering method that when visualizing the integrated underground space map in the field, the visualization of entire underground facilities of interest to workers is performed, but visualization of other underground facilities is minimized to minimize the risk of security data information leakage. To this end, a visualization area of a certain distance for each of the underground facilities of interest was created, and an integrated visualization filter was created with spatial union operation. When the integrated underground map is output on the screen, only the objects located within the filter area are visualized using the generated filter information, and objects that exist outside are not visualized, thereby minimizing the provision of information to the user.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.244-245
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• 2003

• Journal of Korea Multimedia Society
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• v.18 no.5
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• pp.671-681
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• 2015

This paper presents an extended scientific visualization for the public over the scientific visualization targeting for scientists. Our scientific visualization pursues both transmission of scientific information and good-looking visuals. First of all, we examine a tendency to produce scientific images that make the public understand science, even though they are not professional scientists. As a result, we can find several cases that actively generate scientific visualizations for the public. Among them, several research institutes possess own production studio. As the production of scientific images is a convergence field combined of art and science, cooperation between artists and scientists is necessary. Therefore, in-depth communication between them is essential at the planning stage. Moreover, continuous feedbacks between two groups in the production stage, the next stage of the planning, make the scientific visualization to perfection. In this paper, we present 2 modeling methods that are easily encountered during producing scientific visualizations and shading and rendering methods for generating photorealistic images. The concept of an extended scientific visualization that we present shows a new vision of the scientific visualization field.

• Korean Journal of Computational Design and Engineering
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• v.2 no.1
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• pp.11-18
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• 1997

Scientific volume visualization addresses the representation, manipulation, and rendering of volumetric data sets, providing mechanisms for looking closely into structures and understanding their complexity and dynamics. In the past several years, a tremendous amount of research and development has been directed toward algorithms and data modeling methods for a scientific data visualization. But there has been very little work on developing a mathematical volume model that feeds this visualization. Especially, in flow visualization, the volume model has long been required as a guidance to display the very large amounts of data resulting from numerical simulations. In this paper, we focus on the mathematical representation of volumetric data sets and the method of extracting meaningful information from the derived volume model. For this purpose, a B-spline volume is extended to a high dimensional trivariate model which is called as a flow visualization model in this paper. Two three-dimensional examples are presented to demonstrate the capabilities of this model.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.133-139
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• 2023

As the old saying goes "a picture is worth a thousand words" data visualization is essential in almost every industry. Companies make Data-driven decisions and gain insights from visual data. However, there is a need to investigate the role of data visualization in human resource management. This review aims to highlight the power of data visualization in the field of human resources. In addition, visualize the latest trends in the research area of human resource and data visualization by conducting a quantitative method for analysis. The study adopted a literature review on recent publications from 2017 to 2022 to address research questions.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.162-168
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• 2023

As the old saying goes "a picture is worth a thousand words" data visualization is essential in almost every industry. Companies make Data-driven decisions and gain insights from visual data. However, there is a need to investigate the role of data visualization in human resource management. This review aims to highlight the power of data visualization in the field of human resources. In addition, visualize the latest trends in the research area of human resource and data visualization by conducting a bibliometric analysis. The study adopted a literature review on recent publications from 2017 to 2022 to address research questions.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.212-213
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• 2007

• Journal of Biosystems Engineering
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• v.27 no.3
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• pp.227-234
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• 2002

This study was conducted to nondestructively estimate the volumetric information of peach and pit and to visualize the 3D information of internal structure from magnetic resonance imaging(MRI) data. Bruker Biospec 7T spectrometer operating at a proton reosonant frequency of 300 MHz was used for acquisition of MRI data of peach. Image processing algorithms and visualization techniques were implemented by using MATLAB (Mathworks) and Visualization Toolkit(Kitware), respectively. Thresholding algorithm and Kohonen's self organizing map(SOM) were applied to MRI data fur region segmentation. Volumetric information were estimated from segemented images and compared to the actual measurements. The average prediction errors of peach and pit volumes were 4.5%, 26.1%, respectively for the thresholding algorithm. and were 2.1%, 19.9%. respectively for the SOM. Although we couldn't get the statistically meaningful results with the limited number of samples, the average prediction errors were lower when the region segmentation was done by SOM rather than thresholding. The 3D visualization techniques such as isosurface construction and volume rendering were successfully implemented, by which we could nondestructively obtain the useful information of internal structures of peach.