Zhenmin Peng
Swansea University
9 Papers
64 Citations
Zhenmin Peng is an academic researcher from Swansea University. The author has contributed to research in topics: Visualization & Information visualization. The author has an hindex of 5, co-authored 8 publications.
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Papers
Angular Histograms: Frequency-Based Visualizations for Large, High Dimensional Data
TL;DR: Angular histogram and attribute curves offer an intuitive way for the user to explore the clustering, linear correlations and outliers in large data sets without the over-plotting and clutter problems associated with traditional parallel coordinates.
Mesh-Driven Vector Field Clustering and Visualization: An Image-Based Approach
TL;DR: A novel, robust, automatic vector field clustering algorithm that produces intuitive and insightful images of vector fields on large, unstructured, adaptive resolution boundary meshes from CFD and is the first to combine the properties of the underlying vector field and mesh into a unified error-driven representation.
•Proceedings Article
Vector glyphs for surfaces: A fast and simple glyph placement algorithm for adaptive resolution meshes
Zhenmin Peng,Robert S. Laramee +1 more
- 01 Jan 2008
TL;DR: A fast and simple glyph placement algorithm in order to investigate and visualize flow data based on unstructured, adaptive resolution boundary meshes from CFD, which doesn’t rely on any pre-processing of the data or parameterization of the surface and handles large meshes efficiently.
Visualization of flow past a marine turbine: the information-assisted search for sustainable energy
Zhenmin Peng,Zhao Geng,Michael Nicholas,Robert S. Laramee,Nick Croft,R. Malki,Ian Masters,Charles Hansen +7 more
TL;DR: Customized visualization techniques are developed to help engineers gain a fast overview and intuitive insight into the flow past the marine turbine in order to evaluate turbine blade design.
Design and Implementation of a System for Interactive Higher Dimensional Vector Field Visualization
Zhenmin Peng,Zhao Geng,Robert S. Laramee +2 more
- 01 Jan 2011
TL;DR: The design and implementation of a generic framework incorporating a selection of related scientific and information visualization techniques which are interactively integrated to provide tools for effective visualization of the higher dimensional CFD (Computational Fluid Dynamics) simulation data is described.