• Title/Summary/Keyword: 시각화도구

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Building a Stereoscopic Display System for 3-D Spatial Data Analysis (3차원 공간 자료 분석을 위한 입체형 시각화 시스템 구축)

  • Lee, Doo-Sung
    • Geophysics and Geophysical Exploration
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    • v.7 no.2
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    • pp.105-108
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    • 2004
  • Immersive virtual reality has been used in areas of oil and gas exploration for visualization and analysis of various spatial data, such as wireline logs, 3-dimensional seismic data volume, formational boundaries, fault, and some other reservoir characteristics. Although virtual reality is a valuable tool in this area, in most cases, it requires a large budget. This paper describes the construction of a single screen, passive stereo, virtual reality, display system based on commodity, or otherwise, low-cost components. The core elements of the system are a PC with a two-channel 3-D graphics, two projects, and a polarized stereo. There are many options available for the major elements of such a system, and the basic system can be modified or adapted to many different styles of use.

Visualization of Local Eating-Out Trend Using AR Graph (증강현실 그래프를 이용한 지역별 외식 성향 시각화)

  • Kim, Sang-Joon;Ko, Yu-Jin;Park, Goo-Man;Choi, Yoo-Joo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.700-701
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    • 2019
  • 본 논문에서는 지역 데이터의 시각화에 적합한 증강현실 그래프를 제안하고, 이를 카드 사용 빅데이터에 적용하여 지역별 외식 성향 시각화 도구로 활용한 사례를 제시한다. 증강현실 그래프는 사용자가 위치한 해당 지역의 GPS 정보를 기반으로 빅데이터에서 분석 대상 지역을 선별하고, 지역별 특수 데이터를 찾아내어 해당 지역에 대한 빅데이타 분석 내용을 카메라 영상과 함께 시각화한 그래프이다. 증강현실 그래프를 적용한 외식 성향 시각화 사례에서는 카드 사용 가맹점 소재지 정보, 가맹점 업종, 카드사용시점(월), 카드 사용자 성별구분, 연령대, 월 카드사용금액 및 월 사용 건수 정보등을 수집하였다. 그리고, 분석 대상 지역에 대한 연령대별 외식 선호도 내용을 카드사용건수가 많은 업종별 순위 그래프로 시각화 하여 사용자의 위치에서 확인할 수 있도록 하였다. 제안 증강현실 그래프는 지역별 상권 현황, 아파트 시세 등에 효과적으로 적용될 수 있을 것으로 기대된다.

Case Studies on Deceptive Data Visualization (기만적 데이터 시각화 사례 연구)

  • Kim, Si-Hyun;Park, Jin-Wan
    • Journal of Digital Contents Society
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    • v.19 no.3
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    • pp.521-528
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    • 2018
  • Data visualization has become a useful tool to effectively communicate information and is widely used not only by experts but also at a general level. However, it is dangerous that it is as efficient as it is to transmit false information. All data visualizations have hidden intent with powerful messages by editor. Building a system that grasps these intentions helps to understand the thoughts of groups and individuals. Most of the existing research focuses on effective data visualization methods and methods of expression. The more various visualization methods, the more likely the data will be distorted. In this paper, we present an analysis of deceptive data visualization in a goal-oriented environment. Based on the vulnerability of human cognitive processing, we classify the attack types and identify what tricks occur in the context of data visualization. This study suggests the first step in studying the case of aggressive visualization and opens the way for further research.

Platform Implementation for Cooperation and Visualization of Emotional Research Data in the Adjacent Field (인접한 감성 연구 데이터의 상호 연계와 시각화를 위한 플랫폼 구현)

  • Lee, Sang-Tae;Jeong, Myeong-Su;Choe, Gi-Seok;Heo, Tae-Sang
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2008.10a
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    • pp.58-61
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    • 2008
  • 융합과 사용자 중심의 학문을 지향하는 현대 과학의 연구 흐름을 감성과학 분야에 적용하기 위해서는 감성 데이터의 생산, 정제, 관리, 시각화, 공유를 표준화된 플랫폼으로 제공할 필요가 있다. 이를 통해 인접 분야의 감성데이터를 손쉽게 연동하여 해석하고자 한다. 시각화 플랫폼을 통하여 외부 자극에 대한 실험참여자의 정서 데이터베이스와 분석 도구를 구축하고 이를 역 방향으로 진행시켜 자신의 의지대로 정서를 변화시키기 위하여 외부 자극을 선택할 수 있도록 돕는 것이 구축중인 플랫폼을 통한 감성 측정과 표현에 대한 디자인 목표이다.

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Development of a HTML5-based Component for Visualization of Distributed IoT Sensor Data (분산 IoT센서를 연결하는 HTML5기반 데이터 시각화 컴포넌트 개발)

  • Choi, Soon-Hyuck;Kim, Sung-Ki
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1804-1806
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    • 2015
  • 넓은 공간에 대한 물리량 감시응용에서는 다수의 IoT센서가 분산될 수 있으며, 개별 센서의 데이터를 식별하는 것 못지않게 총량의 통계적 변화를 직관성 있게 판단할 수 있도록 돕는 데이터 시각화 도구가 필요하다. 본 연구에서는 라즈베리파이를 IoT센서로 보고, 분산된 복수의 IoT센서들로부터 현장의 물리량 측정값을 모아, 사용자가 단말을 통해 현장의 물리량 변화 상황을 직관성 있게 판단할 수 있도록 돕는 시각화 컴포넌트를 개발하였다. 본 논문에서는 이러한 목적의 시각화 컴포넌트를 브라우저에 독립적인 구현을 지원하도록 HTML5 기반 웹 컴포넌트를 개발하였다.

Treemapping Work-Sharing Relationships among Business Process Performers (트리맵을 이용한 비즈니스 프로세스 수행자간 업무공유 관계 시각화)

  • Ahn, Hyun;Kim, Kwanghoon Pio
    • Journal of Internet Computing and Services
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    • v.17 no.4
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    • pp.69-77
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    • 2016
  • Recently, the importance of visual analytics has been recognized in the field of business intelligence. From the view of business intelligence, visual analytics aims for acquiring valuable insights for decision making by interactively visualizing a variety of business information. In this paper, we propose a treemap-based method for visualizing work-sharing relationships among business process performers. A work-sharing relationship is established between two performers who jointly participate in a specific activity of a business process and is an important factor for understanding organizational structures and behaviors in a process-centric organization. To this end, we design and implement a treemap-based visualization tool for representing work-sharing relationships as well as basic hierarchical information in business processes. Finally, we evaluate usefulness of the proposed visualization tool through an operational example using XPDL (XML Process Definition Language) process models.

Visualization of Calculus Concepts with GeoGebra (GeoGebra와 미분적분학 개념의 시각화)

  • Lee, Sang-Gu;Jang, Ji-Eun;Kim, Kyung-Won;Park, Kyung-Eun
    • Communications of Mathematical Education
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    • v.28 no.4
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    • pp.457-474
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    • 2014
  • Recently, with the development of technology, intuitive understanding of abstract mathematical concepts through visualizations is growing in popularity within college mathematics. In this study, we introduce free visualization tools developed for better understanding of topics which students learn in Calculus. We visualize important concepts of Calculus as much as we can according to the order of most Calculus textbooks. In this process, we utilized a well-known, free mathematical software called GeoGebra. Finally, we discuss our experience with visualizations in Calculus using GeoGebra in our class and discuss how it can be effectively adopted to other university math classes and high school math education.

On Visualization of Trajectory Data for Traffic Flow Simulation of Urban-scale (도시 스케일의 교통 흐름 시뮬레이션을 위한 궤적 데이터 시각화)

  • Choi, Namshik;Onuean, Athita;Jung, Hanmin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.582-585
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    • 2018
  • As traffic volume increases and road networks become more complicated, identifying for accurate traffic flow and driving smooth traffic flow are a concern of many countries. There are various analytical techniques and studies which desire to study about effective traffic flow. However, the necessary activity is finding the traffic flow pattern through data visualization including location information. In this paper aim to study a real-world urban traffic trajectory and visualize a pattern of traffic flow with a simulation tool. Our experiment is installing the sensor module in 40 taxis and our dataset is generated along 24 hours and unscheduled routes. After pre-processing data, we improved an open source traffic visualize tools to suitable for our experiment. Then we simulate our vehicle trajectory data with a dots animation over a period of time, which allows clearly view a traffic flow simulation and a understand the direction of movement of the vehicle or route pattern. In addition we further propose some novel timelines to show spatial-temporal features to improve an urban environment due to the traffic flow.

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Development of Lifelog Collection Interface and Visualization System for User Location Information Analysis (사용자 위치 정보 분석을 위한 라이프로그 수집 인터페이스 및 시각화 시스템 개발)

  • Choi, Jinu;Lee, Sukhoon;Jeong, Dongwon
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.7
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    • pp.1-11
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    • 2019
  • With the development of smartphones and wearable devices, researches related to platforms that collect lifelogs from these devices and the visualization of the lifelog results have also been advanced. However, the existed researches were impossible to collect data from various devices because they depended on a specific device and platform when transmitting or receiving lifelog data. In addition, they do not provide visualized analysis results of specialized lifelogs in specific areas, such as the users' location information. To resolve the problems, this paper analyzes user location information from the lifelog collection platform and develops the interface and visualization tools for lifelog collection. To do this, we define and analyze the requirements of developing the proposed system. Then, based on the analyzed requirements, this paper develops a lifelog visualization tool using various graphs, maps and the RESTful API interface and shows its implemented results.

A Study on Tools for Big Data Visualization Based on RPA(Robot Process Automation) (RPA(Robot Process Automation) 기반 빅데이터 시각화 방안에 관한 연구)

  • Han, Chung-Ku;Shin, Yongtae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.242-244
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    • 2021
  • RPA는 단순 반복적 사무업무를 자동화하여 업무 효율화의 강력한 도구로 최근 각광받고 있다. RPA는 업무 자동화를 정의하기 위한 세부 요소로 구성되며, 최근 빅데이터 기술과 융합되어 빅데이터 시각화 도구로써 기업 내 경영의사결정시스템을 구축할 수 있었다. SW Bot기반의 RPA의 기본 구성요소로 UI Bot, Process Bot, Data Bot을 정의하고 해당 기능별 요소 정의와 도입 효과를 확인한다.