A policy integration method based on multilevel security for data integration

Wang, Xinming; Haoxiang, Tan; Chen, Kaijun; Tang, Hua; Zhao, Gansen; Tang, Yong; Nie, Rencan

doi:10.1007/s11859-015-1123-8

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…More details regarding grid initialization, travel vector computation, and travel vector projection will be presented in Sections 4.1.1, 4.1.2, and 4.1.3, respectively. Common types of grids include regular grids, rectangular grids, unstructured grids, scattered points, and Cartesian grids [44]. In this study, a regular grid type was chosen due to its advantages of low computational cost and distinct visualization features.…”

Section: Construction Of Travel Vector Gridmentioning

confidence: 99%

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A Vector Field Visualization Method for Trajectory Big Data

Li,

Xu,

Zhang

et al. 2023

IJGI

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With the rapid growth of trajectory big data, there is a need for more efficient methods to extract, analyze, and visualize these data. However, existing research on trajectory big data visualization mainly focuses on displaying trajectories for a specific period or showing spatial distribution characteristics of trajectory points in a single time slice using clustering, filtering, and other techniques. Therefore, this paper proposes a vector field visualization model for trajectory big data, aiming to effectively represent the inherent movement trends in the data and provide a more intuitive visualization of urban traffic congestion trends. The model utilizes the motion information of vehicles to create a travel vector grid and employs WebGL technology for vector field visualization rendering. The vector field effects are effectively displayed by generating many particles and simulating their movements. Furthermore, this research also designs and implements congestion trend point identification and hotspot congestion analysis, thus validating the practicality and effectiveness of trajectory big data vector field visualization. The results indicate that compared to traditional visualization methods, the vector field visualization method can demonstrate the direction and density changes in traffic flow and predict future traffic congestion. This work provides valuable data references and decision support for urban traffic management and planning.

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Section: Construction Of Travel Vector Gridmentioning

confidence: 99%

“…Common types of grids include regular grids, rectangular grids, unstructured grids, scattered points, and Cartesian grids [44]. In this study, a regular grid type was chosen due to its advantages of low computational cost and distinct visualization features.…”

Section: Grid Initializationmentioning

confidence: 99%

A Vector Field Visualization Method for Trajectory Big Data

Li,

Xu,

Zhang

et al. 2023

IJGI

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“…In response to the requirements for 3D scene applications, literature [4] proposes a VR/AR resource crowdfunding and crowd-creation sharing publishing system based on open digital cultural centers. The literature [5] proposes a website system framework for open digital cultural centers, while the literature [6] suggests a rapid acquisition mode that can be applied to VR/AR resources.…”

Section: Introductionmentioning

confidence: 99%

Advanced manufacturing technology for static three-dimensional panoramic image

Wu,

Wang

2023

Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023)

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With the continuous advancement of science and technology, three-dimensional (hereinafter referred to as 3D) scene images have gradually become integrated into our daily lives. From immersive tours of museums and art galleries to incar imaging, current 3D panoramic products are capable of meeting individual user needs. However, due to their lengthy production cycles and high costs, they remain a creative production product that cannot satisfy the demands for building large quantities of fast, real-time, dynamic three-dimensional panoramic pictures. Therefore, in the context of the continuous development of digital information technology, studying process production models and technical specifications is a necessary condition for adapting 3D panorama to the next generation of information service industry. Based on this situation, this paper proposes a series of development directions guided by advanced manufacturing concepts.

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A policy integration method based on multilevel security for data integration

Cited by 2 publications

References 7 publications

A Vector Field Visualization Method for Trajectory Big Data

A Vector Field Visualization Method for Trajectory Big Data

Advanced manufacturing technology for static three-dimensional panoramic image

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