• 제목/요약/키워드: 시각화 구조

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Improving Visual Object Query language (VOQL) by Introducing Visual Elements and visual Variables (시각 요소와 시각 변수를 통한 시각 객체 질의어(VOQL)의 개선)

  • Lee, Seok-Gyun
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.6
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    • pp.1447-1457
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    • 1999
  • Visual Object Query language(VOQL) proposed recently is a visual object-oriented database query language which can effectively represent queries on complex structured data, since schema information is visually included in query expressions. VOQL, which is a graph-based query language with inductively defined semantics, can concisely represent various text-based path expressions by graph, and clearly convey the semantics of complex path expressions. however, the existing VOQL assumes that all the attributes are multi-valued, and cannot visualize the concept of binding of object variables. therefore, VPAL query expressions are not intuitive, so that it is difficult to extend the existing VOQL theoretically. In this paper, we propose VOQL that improved on these problems. The improved VOQL visualizes the result of a single-valued attribute and that of a multi-valued attribute as a visual element and a subblob, respectively, and specifies the binding of object variables by introducing visual variables, so that the improved VOQL intuitively and clearly represents the semantics of queries.

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3차원 의료영상의 가시화 : 기술, 응용, 전망

  • 최수미;김정식
    • Korea Multimedia Society
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    • v.8 no.1
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    • pp.47-57
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    • 2004
  • 의료영상기기의 발달로 인체 내부의 장기들에 대한 촬영이 가능해지면서 의료영상을 이용하여 인체 해부학적 구조 및 장기 기능을 시각화 및 분석하는 것에 대한 관심이 높아지고 있다. 이러한 의료영상 가시화 기술은 영상처리 및 컴퓨터 비젼, 컴퓨터 그래픽스, 가상 및 증강현실 등의 다양한 분야의 기술과 연계되어 컴퓨터 의료진단 및 치료계획, 가상 수술 시뮬레이션, 원격 수술로 봇과 같은 첨단 의료 시스템의 개발에 박차를 가하고 있다. (중략)

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A Study on Urban Noise Visualization using 3D-GIS (3차원 GIS를 활용한 도시소음 시각화에 관한 연구)

  • Ryu, Keun-Won;Kim, Geun-Han;Kim, Hye-Young;Jun, Chul-Min
    • Journal of Korea Spatial Information System Society
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    • v.9 no.3
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    • pp.17-24
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    • 2007
  • The noise problem is one of the major problems associated with large cities and is considered important factor not only in maintenance but also in development of cities. Accordingly, the noise map is being increasingly used in city planning and design. However, the existing two-dimensional noise maps only show regional, planar distribution of noise. This study presented a method to build a data model for analyzing and visualizing noise levels at fine scale considering the vertical distribution of noise in a building. By expanding the 2D topology concept used in conventional GIS to 3D, it suggested a 3D GIS data model that makes 3D spatial queries, analyses and visualization possible and applied the proposed approach to building a 3D noise information system. By building and testing the system, the study showed different functionalities including 3D spatial queries and 3D visualization of noise levels varying temporally or according as the height of sound-proof walls. In each case, the population exposed to noise was quantitatively computed to illustrate the potential in the areas of city planning and design.

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Detecting outliers in multivariate data and visualization-R scripts (다변량 자료에서 특이점 검출 및 시각화 - R 스크립트)

  • Kim, Sung-Soo
    • The Korean Journal of Applied Statistics
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    • v.31 no.4
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    • pp.517-528
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    • 2018
  • We provide R scripts to detect outliers in multivariate data and visualization. Detecting outliers is provided using three approaches 1) Robust Mahalanobis distance, 2) High Dimensional data, 3) density-based approach methods. We use the following techniques to visualize detected potential outliers 1) multidimensional scaling (MDS) and minimal spanning tree (MST) with k-means clustering, 2) MDS with fviz cluster, 3) principal component analysis (PCA) with fviz cluster. For real data sets, we use MLB pitching data including Ryu, Hyun-jin in 2013 and 2014. The developed R scripts can be downloaded at "http://www.knou.ac.kr/~sskim/ddpoutlier.html" (R scripts and also R package can be downloaded here).

The Type of e-book's Visualization by the Narrative Space (내러티브 공간에 의한 이북(e-book)의 시각화 유형)

  • Shin, Seung-Yun;Jung, Hyun-Sun
    • The Journal of the Korea Contents Association
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    • v.14 no.7
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    • pp.103-114
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    • 2014
  • This study intends to make a proposal the direction classification to develop the independent study of e-book's visualization. For this, we research into the e-book of Disney animation which achieved recognition in the literary value and amusement First of all, We grasp the meaning of the concept of e-book's aerial-image and perceptual principle. Next, We found the subject that starts the movement, and then observed the factor of the presentation to be possible to experience the actual spatial experience by the motion-produced cues. Through analysis process, We can classify the appearance elements, media, camera, and the readers' motion-produced cues into 13 parts and define as the codes. As we analysis the frequency of use of the analysis object, We separated it into the 46 combination exercises. According to the combination with the independent exercise, We separated them into 4 groups. There are the actual spatial experience, narrative spatial experience, the experience of characters. The basis for these, we can analyze the characteristics of the motion-produced cues. This study has the meaning of the expansion of e-book into the film language system by separating the e-book's narrative visualization type.

Analysis of employee's characteristic using data visualization (데이터 시각화를 이용한 취업자 특성분석)

  • Cho, Jang Sik
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.727-736
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    • 2014
  • The fundamental concerns of this paper are to analyze the effects of some characteristics on the employment of new college graduated students in viewpoint of data visualization. We use individual and department characteristic data of K-university graduated students in 2010. We apply multiple correspondence analysis, decision tree analysis, association rules and social network analysis for data visualization. The results of the analysis are summarized as follows. First, an analysis of the determinants of employment shows that GPA, department category, age and number of majors, recruiting time affect the employment rate. Second, higher GPA and natural category of department positively affect the employment rate. Finally, low age, single major and early recruiting time also positively affect the employment rate.

Alpha : Java Visualization Tool (Alpha : 자바 시각화 도구)

  • Kim, Cheol-Min
    • The Journal of Korean Association of Computer Education
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    • v.7 no.3
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    • pp.45-56
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    • 2004
  • Java provides support for Web, concurrent programming, safety, portability, and GUI, so there is a steady increase in the number of Java users. Java is based on the object-oriented concepts such as classes, instances, encapsulation, inheritance, and polymorphism. However the JVM(Java Virtual Machine) hides most of the phenomena related to the concepts. This is why most of Java users have much difficulty in learning and using Java. As a solution to the problem, I have developed a tool Alpha that visualizes the phenomena occurred in the JVM from the standpoint of the concepts and will describe the design and features of the tool in this paper. For practicality and extendability Alpha has an MVC(Model-View-Controller) architecture and visualizes the phenomena such as object instantiations, method invocations, field accesses, cross-references among objects, and execution flows of threads in the various ways according to the levels and purposes of the users.

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A Study on layout algorithm for metabolic pathway visualization (대사 경로 시각화를 위한 레이아웃 알고리즘 연구)

  • Song, Eun-Ha;Yong, Seunglim
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.95-102
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    • 2013
  • In metabolomics, metabolic pathway is represented by well-displayed graph. Metabolic pathways, especially, have a complex binding structure, which makes the graphical representation hard to visualize. There is a problem that edge crossings exponentially increase as the number of nodes grows. To apply automatic graph layout techniques to the genome-scale metabolic flow of metabolism domains, it is very important to reduce unnecessary edge crossing on a metabolic pathway layout. we proposed a metabolic pathway layout algorithm based on 2-layer layout. Our algorithm searches any meaningful component existing in a pathway, such as circular components, highly connected nodes, and the components are drawn in upper layer. Then the remaining subgraphs except meaningful components are drawn in lower layer by utilizing a new radial layout algorithm. It reduces ultimately reduced the number of edge crossings. This algorithm is the basis of flexible analysis for metabolic pathways.

Photorealistic Building Modelling and Visualization in 3D GIS (3차원 GIS의 현실감 부여 빌딩 모델링 및 시각화에 관한 연구)

  • Song, Yong Hak;Sohn, Hong Gyoo;Yun, Kong Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.2D
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    • pp.311-316
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    • 2006
  • Despite geospatial information systems are widely used in many different fields as a powerful tool for spatial analysis and decision-making, their capabilities to handle realistic 3-D urban environment are very limited. The objective of this work is to integrate the recent developments in 3-D modeling and visualization into GIS to enhance its 3-D capabilities. To achieve a photorealistic view, building models are collected from a pair of aerial stereo images. Roof and wall textures are respectively obtained from ortho-rectified aerial image and ground photography. This study is implemented by using ArcGIS as the work platform and ArcObjects and Visual Basic as development tools. Presented in this paper are 3-D geometric modeling and its data structure, texture creation and its association with the geometric model. As the results, photorealistic views of Purdue University campus are created and rendered with ArcScene.

Applications of Generative Adversarial Networks (Generative Adversarial Networks의 응용 현황)

  • Kim, Dong-Wook;Kim, Sesong;Jung, Seung-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.807-809
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    • 2017
  • Generative adversarial networks (GAN)에 대한 간략하게 설명하고, MNIST (숫자 손 글씨 데이터 셋)를 이용한 간단한 실험을 통해 GAN 구조 구조의 이해를 돕는다. 그리고 GAN이 어떻게 응용이 되고있는지 다양한 논문들을 통해 살펴본다. 본 고에서는 GAN 논문들을 크게 이미지 스타일 변경, 3D 오브젝트 추정, 손상된 이미지 복원, 언어의 시각화, 기타 등으로 분류하였다.