• Title/Summary/Keyword: Data visualization

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BITSE Ground Software

  • Baek, Ji-Hye;Park, Jongyeob;Choi, Seonghwan;Kim, Jihun;Yang, Heesu;Kim, Yeon-Han;Swinski, Joseph-Paul A.;Newmark, Jeffrey S.;Gopalswamy, Nat.
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.58.1-58.1
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    • 2019
  • We have developed Ground Software (GSW) of BITSE. The ground software includes mission operation software, data visualization software and data processing software. Mission operation software is implemented using COSMOS. COSMOS is a command and control system providing commanding, scripting and data visualization capabilities for embedded systems. Mission operation software send commands to flight software and control coronagraph. It displays every telemetry packets and provides realtime graphing of telemetry data. Data visualization software is used to display and analyze science image data in real time. It is graphical user interface (GUI) and has various functions such as directory listing, image display, and intensity profile. The data visualization software shows also image information which is FITS header, pixel resolution, and histogram. It helps users to confirm alignment and exposure time during the mission. Data processing software creates 4-channel polarization data from raw data.

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Visualization of Medical Images Using Visualization Toolkit (VTK를 이용한 의료영상의 가시화)

  • Choi, H.G.;Tack, G.R.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.113-114
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    • 1998
  • In this paper, visualization of Visible Human data offered by NLM(National Library of Medicine) is performed using $VTK^{TM}$. Computed Tomography Data set(axial, $587\times341\times256$, and the distance between slices 1mm) is used throughout the study. Before the actual visualization routine, 8 bit-reader class of VTK is developed to transform CT data to VTK dataset. After that, the visualization procedures are done to display 3D image on PC. VTK is freeware, not a commercial software. The results of VTK show relatively good image quality and slower processing time compared with the commercial softwares like IAP, IDL, AVS. Thus if processing time is not the critical factor, VTK is worthy to be used in visualization of the medical images.

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TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data

  • Lim, Jae Hyun;Lee, Soo Youn;Kim, Ju Han
    • Genomics & Informatics
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    • v.15 no.1
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    • pp.51-53
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    • 2017
  • High-throughput transcriptome sequencing, also known as RNA sequencing (RNA-Seq), is a standard technology for measuring gene expression with unprecedented accuracy. Numerous bioconductor packages have been developed for the statistical analysis of RNA-Seq data. However, these tools focus on specific aspects of the data analysis pipeline, and are difficult to appropriately integrate with one another due to their disparate data structures and processing methods. They also lack visualization methods to confirm the integrity of the data and the process. In this paper, we propose an R-based RNA-Seq analysis pipeline called TRAPR, an integrated tool that facilitates the statistical analysis and visualization of RNA-Seq expression data. TRAPR provides various functions for data management, the filtering of low-quality data, normalization, transformation, statistical analysis, data visualization, and result visualization that allow researchers to build customized analysis pipelines.

Development of a Converter for Visualizing SEDRIS (SEDRIS 합성 환경 데이터 가시화를 위한 변환기 개발)

  • Kang, Yuna;Kim, Hyungki;Han, Soonhung;Kim, Man Kyu
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.3
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    • pp.189-199
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    • 2013
  • The need for reusing synthetic environment data that are employed in the field of modeling and simulation has recently been rising. SEDRIS (Synthetic Environment Data Representation & Interchange Specification) is a standard to exchange synthetic environment data, and is the specification utilized in various military simulations of the Pentagon for representing and exchanging 3D data. SEDRIS represents environmental areas based on a data model; it can represent wind speed, wind directions, weather changes, the information of buildings, as well as terrain data. In some situations, however, the synthetic environment data stored in SEDRIS format should be converted to various visualization formats. First, because SEDRIS is a form of a super-set, it is necessary to verify whether large scale SEDRIS files are stored successfully through visualization. Second, the synthetic environment data should be visualized in some visualization programs for the simulation results to provide an immersive and realistic sense. In this study, we have developed converters for converting SEDRIS data to various visualization formats and visualized the converted results.

A Study on Big Data Visualization Strategy Based on Social Communication:Focusing on User Experience (UX) based on Big Data Visualization Types (소셜 커뮤니케이션에 기반한 빅데이터의 시각화(Big Data Visualization) 전략에 관한 연구:빅데이터 시각화 유형에 따른 사용자 경험(UX)을 중심으로)

  • Choo, Jin-Ki
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.142-151
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    • 2020
  • The reason why today's public actively uses social communication is that the necessary information is collected and classified under the name of social big data through the web space to create the big data era, an ecosystem of information. In order for big data information to be used by the public, it is necessary to visualize it easily. This study categorized the types of visualization according to the information of social big data, and targeted the experienced students including the related majors and the general public who need to directly utilize and study the actual big data visualization as an experience evaluation target. As a result of analyzing the experiences of the experienced people, important implications for the visualization method for managing, analyzing, and utilizing the data were derived. The big data visualization strategy is to be expressed in a way that fits the data environment and user's eye level on SNS. In the future, if big data visualization is applied to product service or social trend, it will be an important data in terms of broadening its role, scope of application, and application.

CONTROL OF A 3-DIMENSIONAL POSTPROCESSING SOFTWARE USING DATA GLOVES FOR IMMERSIVE ENVIRONMENT (몰입 환경을 위한 3차원 데이터 후처리 소프트웨어의 데이터 글로브에 의한 제어 구현)

  • Kim K.Y.;Kim B.S.
    • Journal of computational fluids engineering
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    • v.11 no.2 s.33
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    • pp.56-61
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    • 2006
  • As the size and dimension of target problems in the field of computational engineering including CFD gets bigger and higher, it is needed to have more efficient and flexible data visualization environment in terms of software and hardware. Even though it is still manageable to use a mouse in controlling 3-dimensional data visualization, it would be beneficial to use 3-D input device for 3-D visualization. 'Data Glove' is one of the best 3-D input devices, because human hands are best tools for understanding 3-D space and manipulating 3-D objects. Signals coming from 'Data Glove' are analog and very sensitive to finger motions, therefore signal filtering using a digital filter is applied. This paper describes our experience and benefits of using data gloves in controlling 3-dimensional postprocessing softwares.

Analysis of Big Data Visualization Technology Based on Patent Analysis (특허분석을 통한 빅 데이터의 시각화 기술 분석)

  • Rho, Seungmin;Choi, YongSoo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.7
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    • pp.149-154
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    • 2014
  • Modern data computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. The visualization has proven effective for not only presenting essential information in vast amounts of data but also driving complex analyses. Big-data analytics and discovery present new research opportunities to the computer graphics and visualization community. In this paper, we discuss the patent analysis of big data visualization technology development in major countries. Especially, we analyzed 160 patent applications and registered patents in four countries on November 2012. According to the result of analysis provided by this paper, the text clustering analysis and 2D visualization are important and urgent development is needed to be oriented. In particular, due to the increase of use of smart devices and social networks in domestic, the development of three-dimensional visualization for Big Data can be seen very urgent.

Information Visualization for the Manufacturing Process Optimization Based on Design of Experiment and Data Analysis (실험계획법과 데이터 분석 기반의 제조공정 최적화를 위한 정보 시각화)

  • Kim, Jae Chun;Jin, Seon A;Park, Young Hee;Noh, Seong Yeo;Lee, Hyun Dong
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.9
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    • pp.393-402
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    • 2015
  • Data visualization technology helps people easily understand various data and its analysis result, so usefulness of it is expected in the real industrial manufacturing sites. The large amount of data which is occurred at the manufacturing sites is able to fulfill very important roll to improve the manufacturing process. In this paper, we propose an information visualization for the manufacturing process optimization based on design of experimental and data analysis. The manufacturing process may be improved and be reduced cause of faulty by providing the easy-process analysis to understand the operation site through the information visualization of data analysis result.

Visualization of Dynamic Simulation Data for Power System Stability Assessment

  • Song, Chong-Suk;Jang, Gil-Soo;Park, Chang-Hyun
    • Journal of Electrical Engineering and Technology
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    • v.6 no.4
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    • pp.484-492
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    • 2011
  • Power system analyses, which involve the handling of massive data volumes, necessitate the use of effective visualization methods to facilitate analysis and assist the user in obtaining a clear understanding of the present state of the system. This paper introduces an interface that compensates for the limitations of the visualization modules of dynamic security assessment tools, such as PSS/e and TSAT, for power system variables including generator rotor angle and frequency. The compensation is made possible through the automatic provision of dynamic simulation data in visualized and tabular form for better data intuition, thereby considerably reducing the redundant manual operation and time required for data analysis. The interface also determines whether the generators are stable through a generator instability algorithm that scans simulation data and checks for an increase in swing or divergence. The proposed visualization methods are applied to the dynamic simulation results for contingencies in the Korean Electric Power Corporation system, and have been tested by power system researchers to verify the effectiveness of the data visualization interface.

A Study on the 3-D Digital Modelling of the Sea Bottom Topography (3차원 해저지형 수치모델에 관한 연구)

  • 양승윤;김정훈;김병준;김경섭
    • Journal of the Korea Institute of Military Science and Technology
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    • v.5 no.3
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    • pp.33-44
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    • 2002
  • In this study, 3-dimensional virtual visualization was performed for a rapid and accurate analysis of sea bottom topography. The visualization was done through the extracted data using the developed program and the generated data using the gridding method. The data extraction program was developed with AutoLISP programming language and this program was able to extract the needed sample bathymetry data from the electronic sea chart systematically as well as effectively The gridded bathymetry data were generated by the interpolation or extrapolation method from the spatially-irregular sample data. As the result of realization for the 3-dimensional virtual visualization, it was shown a proper feasibility in the analysis of the sea bottom topography to determine the route of submarine cable burial.