The Dynamic Visualization Technology in Brain Deceleration Injury Research

How Dynamic Visualization Technology can Support Molecular Reasoning

Journal of Science Education and Technology ◽

10.1007/s10956-012-9424-6 ◽

2012 ◽

Vol 22 (5) ◽

pp. 702-717 ◽

Cited By ~ 32

Author(s):

Dalit Levy

Keyword(s):

Dynamic Visualization ◽

Visualization Technology

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Study on Application of Flexible Dynamic Visualization Technology in Medical Field

Artificial Intelligence and Robotics Research ◽

10.12677/airr.2017.63012 ◽

2017 ◽

Vol 06 (03) ◽

pp. 106-114

Author(s):

歧洪

Keyword(s):

Dynamic Visualization ◽

Medical Field ◽

Visualization Technology

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A Hydrodynamic Lake Model Coupled with a Three-Dimensional Dynamic Visualization Method

10.21203/rs.3.rs-540382/v1 ◽

2021 ◽

Author(s):

Xianyong Gu ◽

Zhenliang Liao ◽

Guozheng Zhi ◽

Wenchong Tian ◽

Jiaqiang Xie

Keyword(s):

Water Environment ◽

Three Dimensional ◽

Heterogeneous Data ◽

Hydrodynamic Characteristics ◽

Chaohu Lake ◽

Dynamic Visualization ◽

Data Set ◽

Analysis Methods ◽

Lake Model ◽

Visualization Technology

Abstract The hydrodynamic lake model is an important tool for lake management and decision-making. When model results are analyzed by the traditional analysis methods, the multi-source heterogeneous data are not expressed systematically and intuitively, which leads to the inability to extract useful information efficiently. In order to solve the above problems, a three-dimensional dynamic visualization analysis method of the hydrodynamic lake model (3DV-HLM) is proposed by coupling the hydrodynamic lake model and the three-dimensional dynamic visualization technology. Chaohu Lake is taken as an example to verify the feasibility of the method. 13 working conditions are set up and the simulated water flows changing with space and time are analyzed and compared by the 3DV-HLM method. Results show that the 3DV-HLM method proposed in this study is more systematic and effective in the expression of multi-source heterogeneous information than the traditional analysis methods. It is easier to discover rules and obtain useful information from huge data set by the 3DV-HLM method. Besides, the intuitive display of the model results by the 3DV-HLM method is close to the real environment, which can enhance the understanding of the hydrodynamic characteristics of the lake by the water environment managers.

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SINDVis: User-Centered Dynamic Interactive Visualization System for Space Information Networks

Electronics ◽

10.3390/electronics7110316 ◽

2018 ◽

Vol 7 (11) ◽

pp. 316 ◽

Cited By ~ 1

Author(s):

Shaobo Yu ◽

Lingda Wu ◽

Xitao Zhang ◽

Xiangli Meng ◽

Pengrui Cen

Keyword(s):

Visual Analysis ◽

Interactive Visualization ◽

User Interaction ◽

Information Support ◽

Dynamic Visualization ◽

Visualization System ◽

Advantages And Disadvantages ◽

Input Module ◽

Visualization Technology ◽

User Centered

As an important national strategy infrastructure, the Space Information Network (SIN) is a powerful platform for future information support. In this paper, we design and implement a user-centered, dynamic, interactive visualization system (SINDVis), and aim to assist multi-class users to understand, build, develop, maintain, and manage the SIN. We introduce the concept and architecture of SIN, summarize the key technologies of dynamic visualization and visual analysis, and analyze the basic characteristics of three types of users. Combining the content above, we design the architecture of SINDVis from an input module, a core-processing module, an output module, and a user body. We also describe eight basic functions of the entity domain view (GeoView) and topology domain view (TopolView). Meanwhile, we analyze the implementation methods of the GeoView and TopolView, including an improved Force-Directed Algorithm (FDA) layout, Fusion of Animation and Timeline (FAT) visualization, and Panning and Zooming (P&Z) interactions. We analyze the experiment platforms and running environments of the GeoView and TopolView and realize the main contents of both views with a typical SIN. The results also verify the validity and feasibility of the theories and methods proposed. Finally, we discuss and analyze experimental results and the advantages and disadvantages of the SINDVis and look forward to future work. With the development of visualization and visual analysis technology, both application-driven and user-interaction features are gradually highlighted. We introduce the visualization technology into the field of SIN in order to provide new ideas for the basic theory and key technology research of SIN.

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