• Title/Summary/Keyword: 지식 시각화

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컴퓨터 대수체계(CAS) Module이 포함된 graphing Calculator를 활용한 교실 수업모형 -연립 일차방정식과 이차함수를 중심으로, Casio fx2.0-

  • Heo, Man-Seong
    • Communications of Mathematical Education
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    • v.10
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    • pp.505-517
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    • 2000
  • 수학 학습에서 컴퓨터와 계산기의 활용은 시각화의 강화로부터 직관력과 사고력의 향상을 가져왔다. 컴퓨터 대수체계(Computer Algebra System)가 탑재된 수학 학습용 컴퓨터 프로그램과 계산기가 활발히 사용되고 있으며, 교수매체로서의 활용은 지식 정보전달 체계와 학습자의 지식 구성방법에 새로운 패러다임을 형성하였다. 특히 수학학습용 그래픽 계산기(Graphing Calculator)는 휴대형(Hand-held Technology)으로 학습공간의 이동(Mobil Education)이 가능하며, 수학학습 전용기라는데 의미를 둘 수 있다. Symbolic Graphing Calculator를 활용한 수업에서 학습자는 계산기를 가지고, 기호연산 실행 조작을 통해 자신의 사고과정을 표현하고, Symbolic Graphing Calculator는 실행 조작에 즉각적으로 과정과 결과를 제공하며, 다른 표상과 상호작용을 함으로써 학습자 스스로의 규제가 강화된 과정을 통해 지식을 구성하게 된다. 이때 교사는 지식 정보전달 체계인 대화형 실행매체(IMTs)를 작성하여 학습자의 지식 형성에 안내자의 역할을 하게 된다. 이번 워크샵에서는 CASIO fx 2.0을 활용한 교실 수업모형을 그래프 표상과 연계한 방정식의 풀이과정을 통해 알아본다.

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A Method of Mining Visualization Rules from Open Online Text for Situation Aware Business Chart Recommendation (상황인식형 비즈니스 차트 추천기 개발을 위한 개방형 온라인 텍스트로부터의 시각화 규칙 추출 방법 연구)

  • Zhang, Qingxuan;Kwon, Ohbyung
    • The Journal of Society for e-Business Studies
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    • v.25 no.1
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    • pp.83-107
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    • 2020
  • Selecting business charts based on the nature of the data and the purpose of the visualization is useful in business analysis. However, current visualization tools lack the ability to help choose the right business chart for the context. Also, soliciting expert help about visualization methods for every analysis is inefficient. Therefore, the purpose of this study is to propose an accessible method to improve business chart productivity by creating rules for selecting business charts from online published documents. To this end, Korean, English, and Chinese unstructured data describing business charts were collected from the Internet, and the relationships between the contexts and the business charts were calculated using TF-IDF. We also used a Galois lattice to create rules for business chart selection. In order to evaluate the adequacy of the rules generated by the proposed method, experiments were conducted on experimental and control groups. The results confirmed that meaningful rules were extracted by the proposed method. To the best of our knowledge, this is the first study to recommend customizing business charts through open unstructured data analysis and to propose a method that enables efficient selection of business charts for office workers without expert assistance. This method should be useful for staff training by recommending business charts based on the document that he/she is working on.

The Study on Information Visualization Methods Using 3D interactive Animation (3차원 인터랙티브 애니메이션을 활용한 정보시각화 방법에 관한 연구)

  • 김성곤
    • Archives of design research
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    • v.17 no.1
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    • pp.299-308
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    • 2004
  • The methods of presenting information are more variable with advanced computer media technology. However, when we visualize information of database, it is more difficult to understand data meaning by complex date, which is not required by user. To compose new information, user needs to combine own his memory and new information presenting result. To be quickly explored new information and be exactly understood relationship of data structure, the data presenting of visualized information is more structured and presented with meaning form. It is possible to make information visualization system, which users can explore database by oneself, with supporting interaction to be able to control and combine relationship of three-dimensional scene graphic structure, presenting factors of animation and data structure of database. There are several diagrams, such as VR diagram, Form structure diagram and simulated diagram as the case study.

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A Method for Selective Storing and Visualization of Public Big Data Using XML Structure (XML구조를 이용한 공공 빅데이터의 선별 저장 및 시각화 방법)

  • Back, BongHyun;Ha, Il-Kyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.12
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    • pp.2305-2311
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    • 2017
  • In recent years, there have been tries to open public data from various government agencies along with publicization of public information for the public interest. In other words, various kinds of electronic data generated and collected by the public institutions as a result of their work are opened in the public portal sites. However, users who use it are limited in their use of big data due to lack of understanding of data format, lack of data processing knowledge, difficulty in accessing and managing data, and lack of visualization data to understand collected and stored data. Therefore, in this study, we propose a big data collection, storing and visualization platform that can collect big data provided by various public sites using data set URL and API regardless of data format, re-process collected data using XML structure.

Development of Plant Engineering Analysis Platform using Knowledge Base (지식베이스를 이용한 플랜트 엔지니어링 분석 플랫폼 개발)

  • Young-Dong Ko;Hyun-Soo Kim
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.139-152
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    • 2022
  • Engineering's work area for plants is a technical area that directly affects productivity, performance, and quality throughout the lifecycle from planning, design, construction, operation and disposal. Using the different types of data that occur to make decisions is important not only in the subsequent process but also in terms of cyclical cost reduction. However, there is a lack of systems to manage and analyze these integrated data. In this paper, we developed a knowledge base-based plant engineering analysis platform that can manage and utilize data. The platform provides a knowledge base that preprocesses previously collected engineering data, and provides analysis and visualization to use it as reference data in AI models. Users can perform data analysis through the use of prior technology and accumulated knowledge through the platform and use visualization in decision-support and systematically manage construction that relied only on experience.

Method of Visualization and UI/UX Component mapping for Senior (고령 사용자를 위한 UI/UX 컴포넌트 매핑 및 시각화 방법)

  • Lee, Seolhwa;So, Aram;Hur, Yuna;Hwang, Taesun;Lim, Heuiseok
    • Proceedings of The KACE
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    • 2018.08a
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    • pp.85-87
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    • 2018
  • 고령 사회의 급격한 확대로 인해 스마트 기기를 잘 다루는 스마트 시니어들의 문화향유가 급증하고 있다. 시니어 세대는 인지 및 운동능력이 급격히 감퇴하는 시기로, 콘텐츠를 활용한 원활한 문화향유를 위해서는 감퇴하는 능력에 대한 개인의 능력을 파악하여 콘텐츠 제작자들에게 알맞은 가이드라인을 제공해줄 필요가 있다. 본 연구는 시니어의 인지 및 운동능력 측정을 통하여 웹콘텐츠에 사용되는 UI/UX 컴포넌트를 매핑하고, 컴퓨터 과학에 전문적인 지식이 없는 개발자 또는 콘텐츠 제작자들에게 시니어를 잘 이해할 수 있도록 하는 시각화 방법을 제안한다.

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A Study on Creative Fashion Design by Visualization of Knowledge -Focusing on Gucci Collection by ATTA Evaluation Items- (지식의 시각화에 의한 창의적 패션디자인 연구 -ATTA 평가항목에 의한 구찌컬렉션을 중심으로-)

  • Kim, Minji
    • Journal of Fashion Business
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    • v.21 no.4
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    • pp.90-104
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    • 2017
  • In a rapidly changing fashion design world, creative ideas are always required. Knowledge has been created as an art, exhibiting a new imagination that surpasses reality, while being visualized from the past. The purpose of this study is to derive types of visualization of knowledge for continuous creation of fashion design. The study consists of literature and empirical studies. ATTA, a creativity evaluation method made by Torrance applied for analyzing of Gucci fashion design collections from 2016-2017. Creativity of the Gucci collection by ATTA evaluation items are that first, a vivid idea was revealed through collection history, myths and animal and plants, second, conceptual incongruity is in the composition of the garment, third, provocative questions are the symbolism of the meaning of the text, fourth, different perspectives derive a new formative beauty through the synthesis of twisted elements, fifth, abstraction is a symbolic expression of animals and plants, sixth, synthesis is a mixture of various materials and techniques by plural inspiration, seventh, context, it is developed as a design accompanied by stories of history and myth and eighth, fantasy is fictitious animals and animals and detail. In addition, formativeness of fashion design by visualization of this knowledge was extracted with contamination, symbolism, enjoyment and fabrication. Visualization of the knowledge is expected to be used as a strategy to attract ongoing ideas for creative fashion designs.

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.

Interactive Map-based Spatio-Temporal Visualization of Typhoon Situation using Web News BigData (웹 뉴스 빅데이터를 이용한 태풍 상황정보의 인터렉티브 지도 기반 시공간 시각화 방안)

  • Lee, Jiae;Kim, Junchul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.773-776
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    • 2020
  • 웹 뉴스 기사는 태풍과 같은 재해 발생상황에 대한 신속하고 정확한 정보를 포함하고 있다. 예를 들어, 태풍의 발생시점, 이동·예측경로, 피해·사고 현황 등 유용한 정보를 텍스트, 이미지, 동영상의 형태로 관련 상황정보를 전달한다. 그러나 대부분의 재해재난 관련 뉴스 기사는 특정 시점의 정보만을 웹페이지 형태로 제공하므로, 시계열 측면의 연결성을 지니는 기사들에 대한 정보를 전달하기 어렵다. 또한 시간적 변화에 따라 기사 내용에 포함된 장소, 지역, 건물 등의 지명에 대한 공간적 정보를 지도와 연계하여 정보를 전달하는데 한계가 있어, 시공간적 변화에 따른 특정 재해재난 상황정보에 대한 전체적인 현황파악이 어렵다. 따라서, 본 논문에서는 데이터 시각화 측면에서 이러한 한계를 극복하기 위해, 1) 웹크롤링을 통해 구축된 뉴스 빅데이터를 자연어 처리를 통해 태풍과 관련된 뉴스 기사들을 추출하였고, 2) 시공간적 관련 정보를 지식그래프로 구축하였고, 이를 통해 최근 발생한 태풍 사건들과 관련된 뉴스 정보를 시계열 특성을 고려하여 3) 인터렉티브 지도 기반의 태풍 상황정보를 시각화하는 방안을 연구하였다.

Development of a Method for Analyzing and Visualizing Concept Hierarchies based on Relational Attributes and its Application on Public Open Datasets

  • Hwang, Suk-Hyung
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.9
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    • pp.13-25
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    • 2021
  • In the age of digital innovation based on the Internet, Information and Communication and Artificial Intelligence technologies, huge amounts of datasets are being generated, collected, accumulated, and opened on the web by various public institutions providing useful and public information. In order to analyse, gain useful insights and information from data, Formal Concept Analysis(FCA) has been successfully used for analyzing, classifying, clustering and visualizing data based on the binary relation between objects and attributes in the dataset. In this paper, we present an approach for enhancing the analysis of relational attributes of data within the extended framework of FCA, which is designed to classify, conceptualize and visualize sets of objects described not only by attributes but also by relations between these objects. By using the proposed tool, RCA wizard, several experiments carried out on some public open datasets demonstrate the validity and usability of our approach on generating and visualizing conceptual hierarchies for extracting more useful knowledge from datasets. The proposed approach can be used as an useful tool for effective data analysis, classifying, clustering, visualization and exploration.