• Title, Summary, Keyword: visualization

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Towards Texture-Based Visualization of Multivariate Dataset

  • Mehmood, Raja Majid;Lee, Hyo Jong
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.582-585
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    • 2014
  • Visualization is a science which makes the invisible to visible through the techniques of experimental visualization and computer-aided visualization. This paper presents the practical aspects of visualization of multivariate dataset. In this paper, we will briefly discuss a previous research work and introduce a new visualization technique which will help us to design and develop a visualization tool for experimental visualization of multivariate dataset. Our newly developed visualization tool can be used in various domains. In this paper, we have chosen a software industry as an application domain and we used the multivariate dataset of software components computed by VizzMaintenance. VizzMaintenance is software analysis tool which give us multiple software metrics of open source Java based programs. Main objective of this research is to develop a new visualization tool for large multivariate dataset which will be more efficient and easy to perceive by viewer. Perception is very important for our research work and we have decided to test the perception level of our proposed visualization approach by researchers of our research lab.

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Visualization and Intuition in Mathematics Education (수학교육에서 시각화와 직관)

  • Lee, Dae-Hyun;Park, Bae-Hun
    • Journal of Educational Research in Mathematics
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    • v.12 no.1
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    • pp.71-79
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    • 2002
  • Visualization have strong driving force that enables us to recognize abstract mathematics by direct and specific method in school mathematics. Specially, visual thinking helps in effective problem solution via intuition in mathematics education. So, this paper examines the meaning of visualization, the role of visualization in intuitive problem solving process and the methods for enhancement of intuition using visualization in mathematics education. Visualization is an useful tool for illuminating of intuition in mathematics problem solving. It means that visualization makes us understand easily mathematical concepts, principles and rules in students' cognitive structure. And it makes us experience revelation of anticipatory intuition which finds clues and strategy in problem solving. But, we must know that visualization can have side effect in mathematics learning. So, we have to search for the methods of teaching and learning which can increase students' comprehension about mathematics through visualization and minimize side aspect through visualization.

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초등수학 기하문제해결에서의 시각화 과정 분석

  • Yun, Yea-Joo;Kim, Sung-Joon
    • East Asian mathematical journal
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    • v.26 no.4
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    • pp.553-579
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    • 2010
  • Geometric education emphasize reasoning ability and spatial sense through development of logical thinking and intuitions in space. Researches about space understanding go along with investigations of space perception ability which is composed of space relationship, space visualization, space direction etc. Especially space visualization is one of the factors which try conclusion with geometric problem solving. But studies about space visualization are limited to middle school geometric education, studies in elementary level haven't been done until now. Namely, discussions about elementary students' space visualization process and ability in plane or space figures is deficient in relation to geometric problem solving. This paper examines these aspects, especially in relation to plane and space problem solving in elementary levels. Firstly we propose the analysis frame to investigate a visualization process for plane problem solving and a visualization ability for space problem solving. Nextly we select 13 elementary students, and observe closely how a visualization process is progress and how a visualization ability is played role in geometric problem solving. Together with these analyses, we propose concrete examples of visualization ability which make a road to geometric problem solving. Through these analysis, this paper aims at deriving various discussions about visualization in geometric problem solving of the elementary mathematics.

A Study on the Scientific Visualization in Ocean-Atmospheric Sciences (표출사례를 통해 본 해양.대기 분야의 과학가시화)

  • Kim Dong-Hoon
    • Journal of the Korean Society of Visualization
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    • v.4 no.1
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    • pp.3-7
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    • 2006
  • This study reviews on the classification of the scientific visualization and the tools in ocean-atmospheric sciences. We have classified scientific visualization according to the purpose and data size; the visualization tools used commonly in the field are also enlisted. The examples of visualization using scalar and vector data are presented, and their distinctions are noted. Lastly, it is contemplated on the near future trend in the field and provided future directions.

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Dectection of Insurance Fraud using Visualization Data Mining Tool (Visualization Data Mining Tool을 활용한 보험사기 적발)

  • Sung, Tae-Kyung
    • Information Systems Review
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    • v.5 no.1
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    • pp.49-60
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    • 2003
  • The purpose of this study is to empirically and practically verify the applicability of visualization data mining tool in detecting real-word insurance frauds that are now emerged as one of the most serious problems socially and economically. For the verification, Analyst's Notebook by i2, which has been known as the most effective visualization data mining tool, was adopted. With Analyst's Notebook, fraud-probable insurance transactions from a very large insurance claims are selected and then substantiation for insurance frauds are attempted. The results show that Analyst's Notebook not only detects insurance fraud transactions from a vast number of insurance claims, but is also able to pinpoint organized crime group by associating one fraud transaction to another fraud transaction. Therefore, it is safe to conclude that visualization data mining is very effective in detecting false transactions and crime behaviors including insurance fraud.

Development of 3D Visualization Technology for Meteorological Data (기상자료 3차원 가시화 기술개발 연구)

  • Seo In Bum;Joh Min Su;Yun Ja Young
    • Journal of the Korean Society of Visualization
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    • v.1 no.2
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    • pp.58-70
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    • 2003
  • Meteorological data contains observation and numerical weather prediction model output data. The computerized analysis and visualization of meteorological data often requires very high computing capability due to the large size and complex structure of the data. Because the meteorological data is frequently formed in multi-variables, 3-dimensional and time-series form, it is very important to visualize and analyze the data in 3D spatial domain in order to get more understanding about the meteorological phenomena. In this research, we developed interactive 3-dimensional visualization techniques for visualizing meteorological data on a PC environment such as volume rendering, iso-surface rendering or stream line. The visualization techniques developed in this research are expected to be effectively used as basic technologies not only for deeper understanding and more exact prediction about meteorological environments but also for scientific and spatial data visualization research in any field from which three dimensional data comes out such as oceanography, earth science, and aeronautical engineering.

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Development of 3D Visualization Technology for Meteorological Data Using IDL (IDL을 이용한 기상자료 3 차원 가시화 기술개발 연구)

  • Joh Min-su;Yun Ja-Young;Seo In-Bum
    • 한국가시화정보학회:학술대회논문집
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    • pp.77-80
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    • 2002
  • The recent 3D visualization such as volume rendering, iso-surface rendering or stream line visualization gives more understanding about structures or distribution of data in a space and, moreover, the real-time rendering of a scene enables the animation of time-series data. Because the meteorological data is frequently formed as multi-variables, 3-dimensional and time-series data, the spatial analysis, time-series analysis, vector display, and animation techniques can do important roles to get more understanding about data. In this research, our aim is to develop the 3-dimensional visualization techniques for meteorological data in the PC environment by using IDL. The visualization technology from :his research will be used as basic technology not only for the deeper understanding and the more exact prediction about meteorological environments but also for the scientific and spatial data visualization research in any field from which three-dimensional data comes out such as oceanography, earth science, or aeronautical engineering.

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Flow Visualization Model Based on B-spline Volume (비스플라인 부피에 기초한 유동 가시화 모델)

  • 박상근;이건우
    • 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.

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A Study on the Creation of Scientific Visualization for the Public (일반인을 대상으로 하는 과학 시각화 제작 연구)

  • You, Mi
    • 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.

3D Visualization Approaches for Evaluating Location Solution Performances (시설물 접근성 분석을 위한 GIS의 3차원 시각화 기법 적용)

  • Kim, Young-Hoon;Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.3
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    • pp.21-32
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    • 2003
  • This paper discusses the design of location optimization visualization and feasibility of 3 dimensional visualization techniques. In generic GIS visualization of location analysis, 2 dimensional visualization techniques have been used to map location elements and model solution, such as displaying demand and supply points, drawing connecting lines(e. g. spider line) of optimal locations to their demands, and representing density of location variations. Nevertheless, current GIS and location analysis literatures have little attentions in 3D visualization applications for location optimization problems. Previous research has been neglected 3D visualization of solution performances and its evaluation of solution quality. Consequently, this paper demonstrates potential benefits of 3D visualization techniques and its appropriate GIS applications for location optimization analysis. The visualization effectiveness of 3D approaches is examined in terms of spatial accessibility, and solution performance of optimal location models is evaluated. Finally, this paper proposes extensive 3D visualization perspectives for location analysis and GIS research as a further research agenda.

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