• Title/Summary/Keyword: Visualization of information

Search Result 2,143, Processing Time 0.028 seconds

Approach for visualizing research trends: three-dimensional visualization of documents and analysis of relative vitalization

  • Yea, Sang-Jun;Kim, Chul
    • International Journal of Contents
    • /
    • v.10 no.1
    • /
    • pp.29-35
    • /
    • 2014
  • This paper proposes an approach for visualizing research trends using theme maps and extra information. The proposed algorithm includes the following steps. First, text mining is used to construct a vector space of keywords. Second, correspondence analysis is employed to reduce high-dimensionality and to express relationships between documents and keywords. Third, kernel density estimation is applied in order to generate three-dimensional data that can show the concentration of the set of documents. Fourth, a cartographical concept is adapted for visualizing research trends. Finally, relative vitalization information is provided for more accurate research trend analysis. The algorithm of the proposed approach is tested using papers about Traditional Korean Medicine.

Visualization of web pages for information search and analysis based on data adjacency in Internet Environment (인터넷 환경에서 데이터 인접성에 기반한 정보 검색 및 분석을 위한 웹페이지 시각화)

  • Byeon, Hyeon-Su;Kim, Jin-Hwa
    • Proceedings of the Korea Database Society Conference
    • /
    • 2008.05a
    • /
    • pp.211-224
    • /
    • 2008
  • As a lot of information and media are given to users in Internet space nowadays, users feel disoriented or "lost in space" intensively. So it is suggested that we have the system to reduce information overload and to propose effective and efficient information. In this study we present a visualizing technique which uses fisheye views on data adjacency to combine global context and local details for presentation of many results in limited space. Data Adjacency on graph theory is applied to set up degree of interest which is main focus in fisheye views. Graph theory is useful to solve the problem resulted from various combinational optimization, especially it has advantages to analyze issues in information space like Internet. To test the usability of the proposed visualization technique, we compared the effectiveness of different visualization techniques. Results show that our method is evaluated with respect to less time and high satisfaction for a task accomplishment.

  • PDF

A Visualization System of Brain MR image based on VTK

  • Du, Ruoyu;Lee, Hyo Jong
    • Annual Conference of KIPS
    • /
    • 2012.04a
    • /
    • pp.336-339
    • /
    • 2012
  • VTK is a free but professional development platform for images three-dimensional (3D) reconstruction and processing. It is powerful, open-source, and users can customize their own needs by self-development of great flexibility. To give the doctors more and detailed information by simulate dissection to the 3-D brain MRI image after reconstruction. A Visualization System (VS) is proposed to achieve 3D brain reconstruction and virtual dissection functions. Based on the free VTK visualization development platform and Visual Studio 2010 IDE development tools, through C++ language, using real people's MRI brain dataset, we realized the images 3D reconstruction and also its applications and extensions correspondingly. The display effect of the reconstructed 3D image is well and intuitive. With the related operations such as measurement, virtual dissection and so on, the good results we desired could be achieved.

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
    • /
    • v.20 no.1
    • /
    • pp.142-151
    • /
    • 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.

Re-exploring teaching and learning of probability and statistics using Excel

  • Lee, Seung-Bum;Park, Jungeun;Choi, Sang-Ho;Kim, Dong-Joong
    • Journal of the Korea Society of Computer and Information
    • /
    • v.21 no.7
    • /
    • pp.85-92
    • /
    • 2016
  • The law of large numbers, central limit theorem, and connection among binomial distribution, normal distribution, and statistical estimation require dynamics of continuous visualization for students' better understanding of the concepts. During this visualization process, the differences and similarities between statistical probability and mathematical probability that students should observe need to be provided with the intermediate steps in the converging process. We propose a visualization method that can integrate intermediate processes and results through Excel. In this process, students' experiences with dynamic visualization help them to perceive that the results are continuously changed and extracted from multiple situations. Considering modeling as a key process, we developed a classroom exercise using Excel to estimate the population mean and standard deviation by using a sample mean computed from a collection of data out of the population through sampling.

New Scheme for Intelligent Voyage Data Recorder Analysis System and Development of Visualization Module of the VDR (지능형 항해정보기록 분석 시스템 설계 및 가시화 모듈 개발)

  • Hwang, Il-Kyu;Lee, Kyung-Ho;Han, Young-Soo
    • Journal of Ocean Engineering and Technology
    • /
    • v.22 no.5
    • /
    • pp.126-131
    • /
    • 2008
  • The voyage data is very important for safety of ships, and duty being effectuated by the installation of voyage data record (VDR) on ships. VDR is a black-box, and it contains 14 kinds of voyage data as text. But it is not easy to understand when the accident happened because voyage data is saved as complicated texts. User interface (UI), analysis, visualization system, which works for assist to gather information about situation of accident, was developed. It will be possible to develop onboard ship monitoring and voyage prediction system by the VDR visualization system's development in near future.

Comparison of the borehole and tomography data in subsidence area using 3D visualization (3D 가시화를 이용한 지반침하지역의 시추자료와 토모그래피 자료의 비교)

  • 안조범;윤왕중;김진회
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 2002.10a
    • /
    • pp.231-236
    • /
    • 2002
  • The understanding of underground geologic structures is of great importance for the surface and subsurface constructions, prevention of natural hazards such as land-slides and subsidence, and many other areas. To get the information on the geologic conditions, many of investigations such as geologic survey, geophysical explorations, testings on the physical properties of rocks, drilling tests and logging, and groundwater surveys are usually conducted, and tremendous data are collected accordingly. In general, however, these huge amount of data are interpreted in the individual areas only. If these data are analyzed collectively, much more information on the geologic conditions can be obtained. In this study, 3D visualization of borehole logging data is attempted. Borehole logging data are obtained at the urban subsidence area. To compare the 3D logging data with other geologic and geophysical data such as resistivity tomography data, interface module was developed. The 3D visualization of logging data and the comparison with other data can be helpful for the understanding of underground geologic structures.

  • PDF

Web based Fault Tolerance 3D Visualization of IoT Sensor Information (웹 기반 IoT 센서 수집 정보의 결함 허용 3D 시각화)

  • Min, Kyoung-Ju;Jin, Byeong-Chan
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.26 no.1
    • /
    • pp.146-152
    • /
    • 2022
  • Information collected from temperature, humidity, inclination, and pressure sensors using Raspberry Pi or Arduino is used in automatic constant temperature and constant humidity systems. In addition, by using it in the agricultural and livestock industry to remotely control the system with only a smartphone, workers in the agricultural and livestock industry can use it conveniently. In general, temperature and humidity are expressed in a line graph, etc., and the change is monitored in real time. The technology to visually express the temperature has recently been used intuitively by using an infrared device to test the fever of Corona 19. In this paper, the information collected from the Raspberry Pi and the DHT11 sensor is used to predict the temperature change in space through intuitive visualization and to make a immediate response. To this end, an algorithm was created to effectively visualize temperature and humidity, and data representation is possible even if some sensors are defective.

Scientific Visualization of Oceanic Data (GIS정보를 이용한 해양자료의 과학적 가시화)

  • Im, Hyo-Hyuc;Kim, Hyeon-Seong;Han, Sang-Cheon;Seong, Ha-Keun;Kim, Kye-Yeong
    • Proceedings of the Korean Society of Marine Engineers Conference
    • /
    • 2006.06a
    • /
    • pp.195-196
    • /
    • 2006
  • Recently, there are increasing need to make a synthetic assessment about oceanic data which is collected over the various scientific field, in addition to just gathering oceanic data. In this study, we made a basic map using satellite image, aerial photo, multi-beam data, geological stratum data etc. And as well we are producing comprehensive SVT(Scientific Visualization Toolkit) which can visualize various kinds of oceanic data. These oceanic data include both survey data such as tidal height, tide, current, wave, water temperature, salinity, oceanic weather data and numeric modelling results such as ocean hydrodynamic model, wave model, erosion/sediment model, thermal discharged coastal water model, ocean water quality model. In this process, we introduce GIS(Geographic Information System) concepts to reflect time and spatial characteristics of oceanic data.

  • PDF

Facial Data Visualization for Improved Deep Learning Based Emotion Recognition

  • Lee, Seung Ho
    • Journal of Information Science Theory and Practice
    • /
    • v.7 no.2
    • /
    • pp.32-39
    • /
    • 2019
  • A convolutional neural network (CNN) has been widely used in facial expression recognition (FER) because it can automatically learn discriminative appearance features from an expression image. To make full use of its discriminating capability, this paper suggests a simple but effective method for CNN based FER. Specifically, instead of an original expression image that contains facial appearance only, the expression image with facial geometry visualization is used as input to CNN. In this way, geometric and appearance features could be simultaneously learned, making CNN more discriminative for FER. A simple CNN extension is also presented in this paper, aiming to utilize geometric expression change derived from an expression image sequence. Experimental results on two public datasets (CK+ and MMI) show that CNN using facial geometry visualization clearly outperforms the conventional CNN using facial appearance only.