110 research outputs found

    A Visualization System for Hexahedral Mesh Quality Study

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    In this paper, we introduce a new 3D hex mesh visual analysis system that emphasizes poor-quality areas with an aggregated glyph, highlights overlapping elements, and provides detailed boundary error inspection in three forms. By supporting multi-level analysis through multiple views, our system effectively evaluates various mesh models and compares the performance of mesh generation and optimization algorithms for hexahedral meshes.Comment: Accepted by IEEE VIS 2023 Short Papers and will be published on IEEE Xplore. Paper contains 4 pages, and 1 reference page. Supplemental includes 4 page

    Design of 2D time-varying vector fields

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    pre-printDesign of time-varying vector fields, i.e., vector fields that can change over time, has a wide variety of important applications in computer graphics. Existing vector field design techniques do not address time-varying vector fields. In this paper, we present a framework for the design of time-varying vector fields, both for planar domains as well as manifold surfaces. Our system supports the creation and modification of various time-varying vector fields with desired spatial and temporal characteristics through several design metaphors, including streamlines, pathlines, singularity paths, and bifurcations. These design metaphors are integrated into an element-based design to generate the time-varying vector fields via a sequence of basis field summations or spatial constrained optimizations at the sampled times. The key-frame design and field deformation are also introduced to support other user design scenarios. Accordingly, a spatial-temporal constrained optimization and the time-varying transformation are employed to generate the desired fields for these two design scenarios, respectively. We apply the time-varying vector fields generated using our design system to a number of important computer graphics applications that require controllable dynamic effects, such as evolving surface appearance, dynamic scene design, steerable crowd movement, and painterly animation. Many of these are difficult or impossible to achieve via prior simulation-based methods. In these applications, the time-varying vector fields have been applied as either orientation fields or advection fields to control the instantaneous appearance or evolving trajectories of the dynamic effects

    Linear arboricity of degenerate graphs

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    A linear forest is a union of vertex-disjoint paths, and the linear arboricity of a graph GG, denoted by la(G)\operatorname{la}(G), is the minimum number of linear forests needed to partition the edge set of GG. Clearly, la(G)Δ(G)/2\operatorname{la}(G) \ge \lceil\Delta(G)/2\rceil for a graph GG with maximum degree Δ(G)\Delta(G). On the other hand, the Linear Arboricity Conjecture due to Akiyama, Exoo, and Harary from 1981 asserts that la(G)(Δ(G)+1)/2\operatorname{la}(G) \leq \lceil(\Delta(G)+1) / 2\rceil for every graph G G . This conjecture has been verified for planar graphs and graphs whose maximum degree is at most 6 6 , or is equal to 8 8 or 10 10 . Given a positive integer kk, a graph GG is kk-degenerate if it can be reduced to a trivial graph by successive removal of vertices with degree at most kk. We prove that for any kk-degenerate graph GG, la(G)=Δ(G)/2\operatorname{la}(G) = \lceil\Delta(G)/2 \rceil provided Δ(G)2k2k\Delta(G) \ge 2k^2 -k.Comment: 15 pages, 1 figur

    Hybrid Base Complex: Extract and Visualize Structure of Hex-dominant Meshes

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    Hex-dominant mesh generation has received significant attention in recent research due to its superior robustness compared to pure hex-mesh generation techniques. In this work, we introduce the first structure for analyzing hex-dominant meshes. This structure builds on the base complex of pure hex-meshes but incorporates the non-hex elements for a more comprehensive and complete representation. We provide its definition and describe its construction steps. Based on this structure, we present an extraction and categorization of sheets using advanced graph matching techniques to handle the non-hex elements. This enables us to develop an enhanced visual analysis of the structure for any hex-dominant meshes.We apply this structure-based visual analysis to compare hex-dominant meshes generated by different methods to study their advantages and disadvantages. This complements the standard quality metric based on the non-hex element percentage for hex-dominant meshes. Moreover, we propose a strategy to extract a cleaned (optimized) valence-based singularity graph wireframe to analyze the structure for both mesh and sheets. Our results demonstrate that the proposed hybrid base complex provides a coarse representation for mesh element, and the proposed valence singularity graph wireframe provides a better internal visualization of hex-dominant meshes.Comment: accepted by IEEE Transactions on Visualization and Computer Graphic

    Extract and Characterize Hairpin Vortices in Turbulent Flows

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    Hairpin vortices are one of the most important vortical structures in turbulent flows. Extracting and characterizing hairpin vortices provides useful insight into many behaviors in turbulent flows. However, hairpin vortices have complex configurations and might be entangled with other vortices, making their extraction difficult. In this work, we introduce a framework to extract and separate hairpin vortices in shear driven turbulent flows for their study. Our method first extracts general vortical regions with a region-growing strategy based on certain vortex criteria (e.g., λ2\lambda_2) and then separates those vortices with the help of progressive extraction of (λ2\lambda_2) iso-surfaces in a top-down fashion. This leads to a hierarchical tree representing the spatial proximity and merging relation of vortices. After separating individual vortices, their shape and orientation information is extracted. Candidate hairpin vortices are identified based on their shape and orientation information as well as their physical characteristics. An interactive visualization system is developed to aid the exploration, classification, and analysis of hairpin vortices based on their geometric and physical attributes. We also present additional use cases of the proposed system for the analysis and study of general vortices in other types of flows.Comment: Accepted for presentation at IEEE VIS 2023. The paper will appear in IEEE Transactions on Visualization and Computer Graphic

    Morse Set Classification and Hierarchical Refinement Using Conley Index

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    Integral Curve Clustering and Simplification for Flow Visualization: A Comparative Evaluation

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    Asymmetric Tensor Field Visualization for Surfaces

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    Potential immune evasion of the severe acute respiratory syndrome coronavirus 2 Omicron variants

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    Coronavirus disease 2019 (COVID-19), which is caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a global pandemic. The Omicron variant (B.1.1.529) was first discovered in November 2021 in specimens collected from Botswana, South Africa. Omicron has become the dominant variant worldwide, and several sublineages or subvariants have been identified recently. Compared to those of other mutants, the Omicron variant has the most highly expressed amino acid mutations, with almost 60 mutations throughout the genome, most of which are in the spike (S) protein, especially in the receptor-binding domain (RBD). These mutations increase the binding affinity of Omicron variants for the ACE2 receptor, and Omicron variants may also lead to immune escape. Despite causing milder symptoms, epidemiological evidence suggests that Omicron variants have exceptionally higher transmissibility, higher rates of reinfection and greater spread than the prototype strain as well as other preceding variants. Additionally, overwhelming amounts of data suggest that the levels of specific neutralization antibodies against Omicron variants decrease in most vaccinated populations, although CD4+ and CD8+ T-cell responses are maintained. Therefore, the mechanisms underlying Omicron variant evasion are still unclear. In this review, we surveyed the current epidemic status and potential immune escape mechanisms of Omicron variants. Especially, we focused on the potential roles of viral epitope mutations, antigenic drift, hybrid immunity, and “original antigenic sin” in mediating immune evasion. These insights might supply more valuable concise information for us to understand the spreading of Omicron variants
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