• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.55-60
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• 2022

Acceleration of the pace of life, increasing the amount of information, the emergence of "clip way of thinking" as a phenomenon has led to the problem of choosing forms of presentation of educational materials to students. One of the ways to solve this problem is to use the means of visualization of information flow, forasmuch as the thinking of modern youth is more effective in perceiving visual images than verbal means. The purpose of the research is to prove the effectiveness of the use of visualization in the process of teaching Ukrainian as a foreign language to students with clip way of thinking. The following methods have been used, namely: analysis, synthesis, comparison, systematization and generalization of scientific literature; testing and surveys; pedagogical experiment; quantitative and qualitative analysis of data, interpretation and generalization of the research results. The essence of visualization means has been revealed; the expediency of their use in the methodology of teaching foreign students the Ukrainian language has been substantiated. It has been proven that the role of Ukrainian teachers lies in taking into account all new trends in teaching, integrating computer perception of information by foreign students into teaching technology and using cognitive visualization in order to intensify the learning process.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.219-220
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• 2009

• Journal of the Korean Society of Visualization
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• v.2 no.1
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• pp.8-11
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• 2004

Conditional sampling measurement is required for conditional averages as well as unconditional Favre averages to resolve different flame structures of turbulent combustion. A Favre average can be obtained as an integral of conditional average and Favre PDF in terms of the mixture fraction, which is a preferred choice as a sampling variable in diffusion controlled turbulent combustion. MILD combustion data are presented as an example for a conditionally averaged data set and comparison with CMC calculation results.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.284-286
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• 2000

본 논문에서는 컴퓨터 교육을 위한 자료구조나 알고리즘의 특성을 이해시키기 위한 시각적인 애니메이션을 지원하는 ADVA(Animation on Data Structure and Visualization on Algorithm)의 개발에 사용된 컴포넌트를 제시하고 이의 구조와 기능을 설명한다. 이 컴포넌트는 각 자료 구조와 알고리즘의 시각 표현에서 요구되는 공통된 기능들을 지원하는 객체이다. 이는 재사용성을 증가시켜 ADVA의 제작을 용이하게 하고 표현의 통일성을 높여서 향상된 학습 효과를 얻을 수 있다.

• Journal of the Korea Computer Graphics Society
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• v.23 no.3
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• pp.87-94
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• 2017

Due to improvements in the capabilities of commercial game engines, there are increasing instances of applying game engines to scientific visualization applications. This study describes a case of creating a virtual reality application that visualizes medical volume data based on the Unity3D game engine. When using a game engine, there is an advantage that various functions required for an application are basically provided, such as depth sorting of translucent objects or virtual reality hardware support. On the other hand, there is a restriction that the structure of the application program should be modified to suit the characteristics of the game engine. This paper describes a method for visualizing medical volume data using the structure of a game engine. As a result, we were able to create a virtual reality scene that consisted of surface data and medical volume data fragments together. And we confirmed the possibility of game engine as a future medical simulation production tool.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1463-1469
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• 2018

The development of multimedia devices with built-in cameras such as smart devices and various studies using video-related multimedia data such as images and video obtained from the devices have been actively conducted. These studies deal with image data. An image can be defined as a set of color information obtained from a digital sensor called a pixel. Images contain various cognitive information such as color, lighting, objects and so on. In order to extract or process such information, it is necessary to clearly understand the composition of colors. In this paper, we introduce 3-dimensional information visualization method which can effectively express the results of image processing together with color distribution. This study visualizes the characteristics of image related multimedia data as well as the characteristics of various analytical data derived from it, so that researchers can transmit the image information more clearly and effectively.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.83-90
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• 2020

In this paper, a web-based seed phenotype visualization support system is proposed to extract and visualize data such as the surface color, length, area, perimeter and compactness of seed, which is phenotype information from the image of soybean/rice seeds. This system systematically stores data extracted from seeds in databases, and provides a web-based user interface that facilitates the analysis of data by researchers using data tables and charts. Conventional seed characteristic studies have been manually measured by humans, but the system developed in this paper allows researchers to simply upload seed images for analysis and obtain seed's numerical data after image processing. It is expected that the proposed system will be able to obtain time efficiency and remove spatial restriction, if it is used in seed characterization research, and it will be easy to analyze through systematic management of research results and visualization of the phenotype characteristics.

• Geophysics and Geophysical Exploration
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• v.6 no.4
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• pp.195-198
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• 2003

In this study, we have developed a 3-D visualization program that is helpful in the interpretation or comparisons of geologic and geophysical data, which have been acquired to understand the cause of ground subsidence in the residential area and to establish reinforcement strategy. The visualization program was developed under the Windows operating system for convenient use and easy understanding. It uses Visual C++ for the Graphic User Interface and the OpenGL for graphic handling. Since this program is user-friendly, even users who do not have the basic idea about GIS or CAD can get very useful information with this program. The applicability of the program has been verified by visualizing the real core log and resistivity tomography images obtained from the ground subsidence area. These results have shown that the program is very useful for comparisons of these two data for the interpretation of subsurface structures.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.293-302
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• 2019

In this study, we developed the google spreadsheet education program which focuses on the education data visualization. And we applied it to forth and fifth grade students, and then verified its effect. The developed program was applied to 29 forth and fifth grade students for 36 classes in six days. Application of the program In order to verify the effect on creativity, Torrance Tests of Creative Thinking Figures A and B were introduced and pretests and post tests were carried out. As a result of the verification, it was found that the google spreadsheet education program which focuses on the education data visualization has positive effects on the creativity factors of the elementary school forth and fifth grade students.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.661-668
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• 2012

For displaying multivariate numerical data on a 2D plane by the projection, principal components biplot and the GGobi are two main tools of data visualization. The biplot is very useful for capturing the global shape of the dataset, by representing $n$ observations and $p$ variables simultaneously on a single graph. The GGobi shows a dynamic movie of the images of $n$ observations projected onto a sequence of unit vectors floating on the $p$-dimensional sphere. Even though these two methods are certainly very valuable, there are drawbacks. The biplot is too condensed to describe the detailed parts of the data, and the GGobi is too burdensome for ordinary data analyses. In this paper, "the local projective display(LPD)" is proposed for visualizing multivariate numerical data. Main steps of the LDP are 1) $k$-means clustering of the data into $k$ subsets, 2) drawing $k$ principal components biplots of individual subsets, and 3) sequencing $k$ plots by Hurley's (2004) endlink algorithm for cognitive continuity.