• Title/Summary/Keyword: Visualization analysis

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Trend Analysis on literature of Personnel Training in Construction Management Specialty Based on Visualization Technology (基于可视化技术的我国高校工程管理人才培养研究态势分析)

  • Xu, Lu;Wu, Renhua;Cai, Binqing
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.214-224
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    • 2017
  • This paper focuses on bibliometrics analysis of personnel training in construction management specialty using visualization software CiteSpace from CNKI database. And points out the research situation and development trend of college personnel training on construction management in China. The results show : (1)the research of professional talents in colleges of construction management presents continued activity, and the source journals are widely. There are a lot of researchers pay attention to this issue, but collaborate little with each other; (2)Most of literature fasten on the practical talent training mode, practical teaching reform and course system reformation. Therefore, we should be further strengthened in academic cooperation, be further broadened research scope, be further enriched the insight of the research, and should follow with interest the issue on personnel training on construction management under the background of new engineering disciplines.

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Exploring Visualization Process of Expert Teachers: a Case of the Simple Visual Task

  • HEO, Gyun
    • Educational Technology International
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    • v.7 no.1
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    • pp.21-37
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    • 2006
  • This paper focuses on finding out visualization process by means of VTA(Visual Task Analysis) of expert teachers' simple task. Findings indicate teachers have coding schema of performing visual task as such; (a) the analyzing by reading and some activities in the task text, (b) conceptualizing or understanding in his/her own way, (c) the explaining of the action or product, (d) the searching by thinking or finding, (e) the decision of visualizing of the task. Expert teachers tried to visualize in the form of abstract graph, and to omit the object which was not directly related to the topic at the pilot study. VAT based on ground theory and protocol analysis was developed and performed. This case study suggests that an additional study for searching a guide and method might be beneficial for conducting a visual task analysis.

A Review on the Visualization Plan of Ocean Waves for Ship Maneuvering Simulator (선박운항 시뮬레이터를 위한 해양파 가시화 방안 고찰)

  • Park, Se-Kil;Oh, Jae-Yong;Park, Jin-Ah
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.2
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    • pp.215-222
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    • 2015
  • To improve the ocean waves of the ship maneuvering simulator, we study and summarize the visualization elements of the ocean waves and the overall direction of their implementation in detail. We categorize the visualization elements of the ocean waves into five groups, including wave surface, wave breaking, interaction, lighting effects, and underwater. We also analyze the design and implementation issues of the visualization of the ocean waves for ship maneuvering simulator with respect to realistic and real-time ocean visualization, ship dynamics, and application purposes. Through the analysis, we have found that the realistic visualization of ocean waves plays an important role in the generation of immersiveness, more accurate ship motion, and the various and controllable simulation scenarios for the ship maneuvering simulator. Additionally, we have confirmed that there are many visualization elements, methods, and limitations to be considered for the visualization of the ocean waves for ship maneuvering simulator, and we have concluded that the systematic design is required before implementation.

Research on Effective Information Visualization Method Based on Mobile Web

  • YOO, Jina;KIM, Tae-Hyeong
    • The Journal of Industrial Distribution & Business
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    • v.11 no.7
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    • pp.41-49
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    • 2020
  • Purpose: The purpose of this study is to recognize the role and necessity of public data visualization through prior research, investigation, and data verification processes. In addition, this study intends to check what factors should be considered in order to visualize data on the mobile web. Through this process, by identifying the cognitive load affecting information visualization by type, as a result, I would like to propose an effective information visualization method to effectively deliver public data related to government policies. Research design, data and methodology: In this study, we analyzed the case of information visualization according to infographics, which has been widely used in the public field among various visualization methods. For this study, a questionnaire survey was conducted for young people in their 20s and 30s with the highest mobile usage rate. Results: Based on the results, IPA (Importance Performance Analysis) was performed to conduct cognitive load test tools for information visualization of public data and confirmed the implications for each type of infographics. Conclusions: As a result of research, in order to efficiently deliver public data on the mobile web, first, it is necessary to construct a visual screen that can be easily identified through clear data. Appropriate graphic elements can be used according to the type to make it easier for users to acquire and understand information. Second, it is necessary to provide useful content in visualizing information. Third, in order to efficiently transmit information and increase understanding of data, it is necessary to visualize information that can induce interest in data and form metaphors. Fourth, it is necessary to visualize information to reduce cognitive load in terms of physical and mental aspects in order to accommodate users' comfortable information. Fifth, in order to effectively deliver public data, it is necessary to compose contents and information that are easy for users to understand. This study examines effective information visualization methods to increase the communication effect of public data in response to changes in the data-based intelligent information society and suggests implications for each type considering cognitive loads to help future public institutions to communicate and accept information.

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.

The Development of Visualization Indicators for Case-study of Urban Geo-Spatial Information Visualization (도시공간정보 시각화 사례분석을 위한 지표 선정에 관한 연구)

  • Kim, Mi-Yun
    • Journal of The Korean Digital Architecture Interior Association
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    • v.12 no.3
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    • pp.49-58
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    • 2012
  • In Regarding urban geo-spatial information visualization in this study, visualization of physical attribute information is mostly related to the representation of spatial domain and physical objects, and visualization of non-physical attribute information has to do with visualizing citizens and their activity information in the physical environment. In particular, a citizen, one of the non-physical information attributes, is characterized by a constant mobility in the physical environment, and thus visualization of his/her activity information is vital in conveying information because this information may not be depicted with any given, fixed figures. In consideration of this difficulty, this study integrates interrelationship among urban space, human needs, social relations, and lifestyles into a 'high-tech' service where experience in time and space is possible. To analyze the web-service and visualization cases, the study has selected visualization indicators consisting of information representation objective, information representation means, and information representation result. The results of the case analysis through specific indicators set a range in information representation objective, means, and result, thereby forming a user-friendly environment in which representational results are readily available to users, and ultimately expanding the users' selection range coming with a variety of options. This study also assumes that a wide range of service provision is needed to reflect users' needs in developing urban geo-spatial service model, and the display of its results should visualize users' satisfaction to construct the best information needed to users.

Analysis of the Research on Augmented Reality Using Knowledge Domain Visualization based on Co-Citation Analysis (동시인용분석 기반 지식영역 가시화 기법을 활용한 증강현실 연구 분석)

  • Lee, Jeonghwan;Lee, Jae Yeol
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.5
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    • pp.309-320
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    • 2013
  • Augmented reality (AR) is considered to be an excellent user interface to a 3D information space embedded within physical reality. For this reason, it has been applied to various applications such as design, medical service, interaction, and collaboration. However, there is no formal way of analyzing the research trend and evolution of augmented reality. This paper identifies the research trend and change in augmented reality (AR) via co-citation analysis. The co-citation analysis provides how the AR research has evolved, who are main contributors, and which papers suggest essential and influencing impact. To systematically analyze the cocitation, we have retrieved 1,145 papers from the Web of Science and applied a scientomertric analysis using CiteSpace. Based on the co-citation analysis of authors and documents, it is possible to analyze the evolution of augmented reality, key authors and papers, and breakthroughs. We have also compared the proposed approach with survey papers written by experts so that the result of the co-citation analysis can compromise the qualitative result done by experts, and thus it can provide a different view and insight for visualizing the research on augmented reality.

Analysis of employee's characteristic using data visualization (데이터 시각화를 이용한 취업자 특성분석)

  • Cho, Jang Sik
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.727-736
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    • 2014
  • The fundamental concerns of this paper are to analyze the effects of some characteristics on the employment of new college graduated students in viewpoint of data visualization. We use individual and department characteristic data of K-university graduated students in 2010. We apply multiple correspondence analysis, decision tree analysis, association rules and social network analysis for data visualization. The results of the analysis are summarized as follows. First, an analysis of the determinants of employment shows that GPA, department category, age and number of majors, recruiting time affect the employment rate. Second, higher GPA and natural category of department positively affect the employment rate. Finally, low age, single major and early recruiting time also positively affect the employment rate.

Analysis of Transient Diesel Spray with Visualization and Injection Rate Measurement (가시화와 분사율 측정을 통한 비정상 디젤분무의 분석)

  • Kang, Jin-Suk;Choi, Wook;Bae, Choong-Sik
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.5
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    • pp.12-18
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    • 2004
  • Transient natures of diesel sprays are often characterized with spray visualization, since it is a non-intrusive and straightforward technique to be applied. However, as injection pressure is increased higher than a thousand bar in a modern direct injection diesel engine, very fine temporal and spatial resolutions in the spray visualization are required while sprays become optically denser. Discussed in this paper are macroscopic and microscopic spray visualization techniques and an example of image processing process for efficient and consistent measurement of spray parameters. The injection rate measurement method based on hydraulic pulse principle was suggested as a way of estimating injection velocity for transient diesel sprays. The spray visualization and injection rate measurement techniques were applied to analyze transient diesel sprays from a common-rail injection system and found to be practically effective.

Analysis of False Color Visualization for HDR Image (HDR영상에서 가색상 시각화 알고리즘 분석)

  • Lee, Yong-Hwan;Kim, Youngseop
    • Journal of the Semiconductor & Display Technology
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    • v.16 no.3
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    • pp.82-86
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    • 2017
  • High dynamic range (HDR) imaging offers a radically approach of representing colors in digital images. Instead of using the range of colors produced by given devices, HDR imaging method manipulates and stores all colors and brightness levels visible to the human eye. To faithfully represent, store and then reproduce all these effects, the original scene must be stored and treated using high fidelity HDR techniques. Then, tone mapping is required to accommodate HDR image to low dynamic range (LDR) devices, and tone mapping operation of HDR image for realistic display is commonly researched. However, color visualization for analyzing scene luminance in HDR imaging has less attention from researches. This paper presents and implements a method for reproduction and visualization of the false color in HDR images. We produce a color visualization framework with several mapping functions, and evaluate their effectiveness by using RMAE and SNR with commonly used HDR image data. Experiment reveals that the sigmodal mapping function shows better performance in the false color visualization, compared to other methods.

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