• 제목/요약/키워드: Visualized Data

검색결과 564건 처리시간 0.019초

A Realtime Analytical System of Football Game

  • Min, Dae-kee
    • Communications for Statistical Applications and Methods
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    • 제8권2호
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    • pp.557-564
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    • 2001
  • The objective of he study is to record the real conditions along with the soccer ball that is, each player's ball keeping time, the number football keeping, accuracy of passing to other player, direction, etc., on a real-time basis, measure them in numbers and get necessary analyzed output as much as one needs. The study consists of the following stages: (1) Record the data by drawing through Visual Interface on a real-time basis; (2) Graphic windows to display the recorded data item by item in graphic; (3) Form windows to display the individual or team scores anytime when needed; (4) Windows to display the analyzed data in visualized form. The effect of the study is threefold: (1) It inputs all the game-related data on a real-time basis, which was impossible before and shows analyzed contents during the game enabling each tea manager o use; (2) In cse of TV broadcasting or newspaper articles, it explains objectively the situations of he game to the TV viewers or readers; (3) After the game, it provides importance information on each team's playing ability and individual player's technical improvement through data analysis.

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QCanvas: An Advanced Tool for Data Clustering and Visualization of Genomics Data

  • Kim, Nayoung;Park, Herin;He, Ningning;Lee, Hyeon Young;Yoon, Sukjoon
    • Genomics & Informatics
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    • 제10권4호
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    • pp.263-265
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    • 2012
  • We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering results can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge of scripting languages to carry out the data clustering and visualization. Furthermore, the heatmaps allow the selective display of data points satisfying user-defined criteria. For example, a clustered heatmap of experimental values can be differentially visualized based on statistical values, such as p-values. Including diverse menu-based display options, QCanvas provides a convenient graphical user interface for pattern analysis and visualization with high-quality graphics.

Improving Computational Thinking Comprehension through Visualized Sorting App Development

  • Kim, Jongwan;Kim, Taeseong
    • Journal of Multimedia Information System
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    • 제8권3호
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    • pp.191-196
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    • 2021
  • Computational thinking refers to the process and method of solving everyday problems using computers. When teaching a computational thinking class for computer majors and non-majors at university, the easiest example to deliver the concept of computational thinking is sorting. Sorting is the concept of arranging given data in order. In this work, we have implemented four visualized sorting algorithms that anyone can easily use. In particular, it helps to understand the difference between the algorithms by showing the number of comparisons and exchanges between elements, which are the criteria for evaluating the performance of the sorting algorithm in real time. It was confirmed that the practice of using the sorting visualization app developed in this research contributed to the improvement of students' understanding of computational thinking.

E-customized Product: User-centered Co-design Experiences

  • Li, Pei;Liu, Zi Yang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권9호
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    • pp.3680-3692
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    • 2020
  • The purpose of this study is to orient users' touchpoints in co-design experience, to identify their need via visualized experience map, to recommend valid design information in online e-customization services. A user-centered co-design experience map (UCEM) is adopted to analyze the relation between users' desire and time spent, so as to evaluate the online co-design experiences. Based on evolutionary algorithm and fuzzy theory, data of this study is collected from 30 participants. The data was analyzed by descriptive analysis in SPSS, and frequency query and word cloud in NVivo. Employing design category and evaluating users' time spent, the findings are that (a) vamp color matching is consistent with interview data; (b) supported by qualitative feedback, the virtual experience map played an important role in the co-design process and the visualized interaction process; and (c) participants prefer to get more information and professional help on color matching and exterior design. Based on the findings in design category, future work should be focused on developing a better understanding of design resource recommendations and multi-stakeholder communication.

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

  • 강윤아;김형기;한순흥;김만규
    • 한국CDE학회논문집
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    • 제18권3호
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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.

정보시각화의 새로운 분류법에 관한 연구 (A Research for New Taxonomy of Information Visualization)

  • 배준우;이석원;김인수;명노해
    • 산업경영시스템학회지
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    • 제32권2호
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    • pp.76-84
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    • 2009
  • Since too much information has been generated, it became very difficult to find out valuable and necessary information. In order to deal with the problem of information overload, the taxonomy for information visualization techniques has been based upon visualized shapes such as tree map, fisheye view and parallel coordinates, so that it was difficult to choose the right representation technique by data characteristics. Therefore, this study was designed to introduce a new taxonomy for the information visualization by data characteristics which defined by space (3D vs. multi-dimensions), time (continuous vs. discrete), and relations of data (qualitative vs. quantitative). To verify the new taxonomy, forensic data which were generated to investigate the culprit of network security was used. The result showed that the new taxonomy was found to be very efficient and effective to choose the right visualized shape for forensic data for network security. In conclusion, the new taxonomy was proven to be very helpful to choose the right information visualization technique by data characteristics.

Hemodynamically Isolated Intracranial Aneurysms on DSA and CEMRA: Clinical and Experimental Data

  • 정태섭;강원석;심용운;임윤철;이승구;주진양
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2001년도 제6차 학술대회 초록집
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    • pp.134-134
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    • 2001
  • Purpose: To evaluate the physiologic background of poorly visualized aneurysms during DSA a contrast-enhanced MRA(CEMRA) due to hemodynamical isolation on clinical and experiment data. Method: Two cases of intracranial aneurysm which were poorly visualized on DSA a CEMRA and one case of intracranial aneurysm which had poor turnover of contrast mediu during DSA were selected for this clinical study. We evaluated the turnover of blood in t terminal aneurysm of handmade elastic silicon phantoms for comparative experiment. Flo experiments with DSA and contrast enhanced MRA were performed in elastic phantoms aneurysm with 3 different diameters (2, 5 and 10 mm) of neck mimicking basilar ti aneurysm, attached to pulsatile pump similar to that of human physiologic parameters. W compared the results with those of computational flow dynamics(CFD).

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보행검사 데이터 시각화 프로그램 설계 (Gait Data Visualized Program Design)

  • 김우겸;이언석
    • 한국콘텐츠학회논문지
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    • 제17권9호
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    • pp.32-38
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    • 2017
  • 퇴행성 변화를 겪으면서 발생할 수 있는 각종 신체 질환을 포함한, 재활환자들의 보행검사 평가 지표는 환자별 텍스트 형식으로 입력되어 있는 자료들로부터 평가 지표를 얻는다. 본 연구에서는 시간적 정확도 향상을 위하여 환자 개인과 특정 질환 집단의 측정 데이터를 개인, 집단 형식으로 차트 형식으로 시각화함으로써 연구 시 오차 범위를 줄이고, 자료 분석 시간을 감소시켜 효율성을 증대 시키고자 하였다. 또한, 추후 각 분야의 전문의와 협력해 환자 측정 데이터에 따라 의심 질환 제시까지 가능한 의료콘텐츠 소프트웨어로서 개발 가능하도록 하였다.

공공데이터 분석 기반 여성안전 시설지수 시각화: 서울시 중심으로 (Visualization of women's safety facility index based on public data analysis: Focusing on Seoul)

  • 김형균
    • 디지털융복합연구
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    • 제19권4호
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    • pp.19-24
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    • 2021
  • 본 논문에서는 서울시와 관련한 공공데이터를 이용해 여성 안전시설지수를 작성하고 시각화하였다. CPTED, 지역여성 안전지수 관련 8가지 데이터와 여성 5대 범죄피해자 데이터를 수집·분석하여 여성 안전시설지수를 작성하였다. 여성 안전시설지수 요소와 여성 범죄 피해자 수 간의 상관분석 결과 신뢰도 95% 수준에서 유의미하다고 결과가 나온 'CCTV', '가로등', '여성안심지킴이집' 3가지 데이터를 주요 요소로 선정하였다. 여성 안전시설 지수 산출을 위한 주요 요소간의 상관계수를 이용해 가중치를 부여해서 구별 여성 안전시설 지수를 산출하고 파이썬의 Follium 라이브러리를 이용해 시각화하였다.

지구통계학을 활용한 지반정보 가시화 기법 개발 (The Development of Technique for the Visualization of Geological Information Using Geostatistics)

  • 송명규;김진하;황제돈;김승렬
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2001년도 봄 학술발표회 논문집
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    • pp.501-508
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    • 2001
  • A graph or topographic map can often convey larger amounts of information in a shorter time than ordinary text-based methods. To visualize information precisely it is necessary to collect all the geological information at design stage, but actually it is almost impossible to bore or explore the entire area to gather the required data. So, tunnel engineers have to rely on the judgement of expert from the limited number of the results of exploration and experiment. In this study, several programs are developed to handle the results of geological investigation with various data processing techniques. The results of the typical case study are also presented. For the electric survey, eleven points are chosen at the valley to measure the resistivity using Schlumberger array. The measured data are interpolated in 3-dimensional space by kriging and the distribution of resistivity are visualized to find weak or fractured zone. The correlation length appears to be around 5 to 20 meter in depth. Regression analyses were performed to find a correlation length. No nugget effect is assumed, and the topographic map, geologic formation, fault zone, joint geometry and the distribution of resistivity are successfully visualized by using the proposed technique.

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