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Virtual reality supported visualization and evaluation of noise levels in manufacturing environments

Virtual reality supported visualization and evaluation of no...

引用

International Research and Training Group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Yang, Xiang Hamann, Bernd Aurich, Jan C. University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States

ISBN: (纸本)9783939897460

Virtual Reality (VR) provides users advanced visualization and interaction technology for designing, analyzing and exploring complex data. To address the issue of noise in manufacturing environments, we developed a VR-supported method allowing users to explore noise behavior. This method consists of an implementation of acoustic simulation and visualization for both desktop and Cave Automatic Virtual Environment (CAVE) based VR systems. It enables useroriented, interactive analysis of simulated data, where there capability to immerse oneself in the data is especially valuable. In a real-world factory, the acoustic measurements obtained essential input data for simulation settings and validation data for simulation results. Furthermore, some political and legal aspects are addressed to enhance the evaluation of results and the visualization. By using the implemented software tool, users are able to understand and investigate the noise issue in manufacturing straightforwardly.

关键词： visualization

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Structural decomposition trees

Structural decomposition trees

引用

13th Eurographics / IEEE Symposium on visualization, EuroVis 2011

作者： Engel, D. Rosenbaum, R. Hamann, B. Hagen, H. University of Kaiserslautern Germany Institute of Data Analysis and Visualization University of California Davis CA United States

Researchers and analysts in modern industrial and academic environments are faced with a daunting amount of multi-dimensional data. While there has been significant development in the areas of data mining and knowledge discovery, there is still the need for improved visualizations and generic solutions. The state-of-the-art in visual analytics and exploratory data visualization is to incorporate more profound analysis methods while focusing on fast interactive abilities. The common trend in these scenarios is to either visualize an abstraction of the data set or to better utilize screen-space. This paper presents a novel technique that combines clustering, dimension reduction and multi-dimensional data representation to form a multivariate data visualization that incorporates both detail and overview. This amalgamation counters the individual drawbacks of common projection and multi-dimensional data visualization techniques, namely ambiguity and clutter. A specific clustering criterion is used to decompose a multi-dimensional data set into a hierarchical tree structure. This decomposition is embedded in a novel Dimensional Anchor visualization through the use of a weighted linear dimension reduction technique. The resulting Structural Decomposition Tree (SDT) provides not only an insight of the data set's inherent structure, but also conveys detailed coordinate value information. Further, fast and intuitive interaction techniques are explored in order to guide the user in highlighting, brushing, and filtering of the data. © 2011 The Author(s) Journal compilation © 2011 The Eurographics Association and Blackwell Publishing Ltd. Published by Blackwell Publishing.

关键词： visualization

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Numerical examination of a model rotor in brownout conditions

Numerical examination of a model rotor in brownout condition...

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70th American Helicopter Society International Annual Forum 2014

作者： Kutz, Benjamin M. Günther, Tobias Rumpf, Andreas Kuhn, Alexander University of Stuttgart Institute of Aerodynamics and Gasdynamics Germany University of Magdeburg Visual Computing Group Germany Zuse Institute Berlin Visualization and Data Analysis Germany

ISBN: (纸本)9781632666918

In the present study a flow simulation of a rotor hovering in ground effect was performed and compared to an experimental study from literature. Different reconstruction schemes in the finite volume flow solver were employed, leading to a computation of second and fifth order accuracy in space. The higher order computation was also performed on different grids with six and 23 million grid cells. The integral simulation values were compared to the experimental results and other literature, showing good agreement. Further on, the vortex conservation of the several schemes was compared. The higher order computation yields a much longer vortex preservation and a much better shape approximation, especially with a fine spatial resolution of the computational domain. Moreover, brownout simulations were done in a one-way coupled post processing mode of the flow computation. The results show that a good preservation of the vortices is crucial for a following brownout simulation, which leads to the necessity of a fine resolution and high order computations. The influence of the particle size was examined, leading to the finding that especially a mix of big and small particles in the sediment bed may lead to severe brownout conditions, when flying near the ground. The blade tip vortices are interacting with the sediment and are one of the main drivers of particle entrainment in brownout conditions. ©2014. All rights reserved.

关键词： Vortex flow

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A survey of dimension reduction methods for high-dimensional data analysis and visualization

A survey of dimension reduction methods for high-dimensional...

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International Research and Training Group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Engel, Daniel Hüttenberger, Lars Hamann, Bernd Computer Graphics and HCI Group University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States

ISBN: (纸本)9783939897460

Dimension reduction is commonly defined as the process of mapping high-dimensional data to a lower-dimensional embedding. Applications of dimension reduction include, but are not limited to, filtering, compression, regression, classification, feature analysis, and visualization. We review methods that compute a point-based visual representation of high-dimensional data sets to aid in exploratory data analysis. The aim is not to be exhaustive but to provide an overview of basic approaches, as well as to review select state-of-the-art methods. Our survey paper is an introduction to dimension reduction from a visualization point of view. Subsequently, a comparison of state-of-the-art methods outlines relations and shared research foci.

关键词： visualization

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Sequential reconstruction segment-wise feature track and structure updating based on parallax paths

Sequential reconstruction segment-wise feature track and str...

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11th Asian Conference on Computer Vision, ACCV 2012

作者： Hess-Flores, Mauricio Duchaineau, Mark A. Joy, Kenneth I. Institute for Data Analysis and Visualization University of California Davis CA United States Lawrence Livermore National Laboratory Livermore CA United States

ISBN: (纸本)9783642374302

This paper presents a novel method for multi-view sequential scene reconstruction scenarios such as in aerial video, that exploits the constraints imposed by the path of a moving camera to allow for a new way of detecting and correcting inaccuracies in the feature tracking and structure computation processes. The main contribution of this paper is to show that for short, planar segments of a continuous camera trajectory, parallax movement corresponding to a viewed scene point should ideally form a scaled and translated version of this trajectory when projected onto a parallel plane. This creates two constraints, which differ from those of standard factorization, that allow for the detection and correction of inaccurate feature tracks and to improve scene structure. Results are shown for real and synthetic aerial video and turntable sequences, where the proposed method was shown to correct outlier tracks, detect and correct tracking drift, and allow for a novel improvement of scene structure, additionally resulting in an improved convergence for bundle adjustment optimization. © 2013 Springer-Verlag.

关键词： Antennas

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End-to-end data reduction and hardware accelerated rendering techniques for visualizing time-varying non-uniform grid volume data

End-to-end data reduction and hardware accelerated rendering...

引用

Fourth International Workshop on Volume Graphics 2005

作者： Akiba, Hiroshi Ma, Kwan-Liu Clyne, John Institute for Data Analysis and Visualization University of California Davis United States Scientific Computing Devision National Center for Atmospheric Research CO United States

ISBN: (纸本)3905673266

We present a systematic approach for direct volume rendering terascale-sized data that are time-varying, and possibly non-uniformly sampled, using only a single commodity graphics PC. Our method employs a data reduction scheme that combines lossless, wavelet-based progressive data access with a user-directed, hardware-accelerated data packing technique. data packing is achieved by discarding data blocks with values outside the data interval of interest and encoding the remaining data in a structure that can be efficiently decoded in the GPU. The compressed data can be transferred between disk, main memory, and video memory more efficiently, leading to more effective data exploration in both spatial and temporal domains. Furthermore, our texture-map based volume rendering system is capable of correctly displaying data that are sampled on a stretched, Cartesian grid. To study the effectiveness of our technique we used data sets generated from a large solar convection simulation, computed on a non-uniform, 504×504×2048 grid. © The Eurographics Association 2005.

关键词： data reduction

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Uncertain Transport in Unsteady Flows

Uncertain Transport in Unsteady Flows

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International Conference on Visualisation, VIS

作者： Tobias Rapp Carsten Dachsbacher Institute for Visualization and Data Analysis Karlsruhe Institute of Technology

ISBN: (数字)9781728180144

ISBN: (纸本)9781728180151

We study uncertainty in the dynamics of time-dependent flows by identifying barriers and enhancers to stochastic transport. This topological segmentation is closely related to the theory of Lagrangian coherent structures and is based on a recently introduced quantity, the diffusion barrier strength (DBS). The DBS is defined similar to the finite-time Lyapunov exponent (FTLE), but incorporates diffusion during flow integration. Height ridges of the DBS indicate stochastic transport barriers and enhancers, i.e. material surfaces that are minimally or maximally diffusive. To apply these concepts to real-world data, we represent uncertainty in a flow by a stochastic differential equation that consists of a deterministic and a stochastic component modeled by a Gaussian. With this formulation we identify barriers and enhancers to stochastic transport, without performing expensive Monte Carlo simulation and with a computational complexity comparable to FTLE. In addition, we propose a complementary visualization to convey the absolute scale of uncertainties in the Lagrangian frame of reference. This enables us to study uncertainty in real-world datasets, for example due to small deviations, data reduction, or estimated from multiple ensemble runs.

关键词： Uncertainty Monte Carlo methods Satellite broadcasting Measurement uncertainty Stochastic processes data visualization Probabilistic logic

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Color Assessment of Paper-Based Color 3D Prints Using Layer-Specific Color 3D Test Charts 11th

Color Assessment of Paper-Based Color 3D Prints Using Layer-...

引用

11th China Academic Conference on Printing and Packaging, CACPP 2020

作者： Yuan, Jiangping Tian, Jieni Yao, Danyang Chen, Guangxue State Key Laboratory of Pulp and Paper Engineering South China University of Technology Guangzhou China Institute for Visualization and Data Analysis Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (纸本)9789811605024

Color 3D printing is an important advancement in 3D printing for lifelike personalization, but color reproduction in paper-based color 3D printers suffers from accuracy issues. In this study, 5 color 3D test charts containing 6 thickness-increasing colored stairs with 13 specific colored bars were developed based on a thickness tunable printed layers design. At the same time, color differences and surface images of tested charts with specific layers were both captured under standard conditions. Results demonstrated that the chromatic aberrations and Mean-SSIM values of color bars showed a slight downward trend as the stair thickness increases, while the linear correlations were not obvious. Combined with color SSIM maps analysis, color samples with small differences in color quality can be clearly detected to analyze the color reproduction performance of paper-based color 3D printers. This research provides new ideas for the development of powerful color 3D test chart to check the color reproduction performance of paper-based 3D printers and predict paper-based color 3D printing. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Color

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visualization in Medicine and Life Sciences II 1

引用

丛书名： Mathematics and visualization

1000年

作者： Lars Linsen Hans Hagen Bernd Hamann Hans-Christian Hege

ISBN: (数字)9783642216084

ISBN: (纸本)9783642216077;9783662519691

For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions.

关键词： visualization Computer Graphics Computer Appl. in Life Sciences Mathematical Modeling and Industrial Mathematics Image Processing and Computer Vision Computational Science and Engineering

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Topology-based simplification for feature extraction from 3D scalar fields

Topology-based simplification for feature extraction from 3D...

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IEEE Conference on visualization

作者： A. Gyulassy Vijay Natarajan Institute for Data Analysis and Visualization University of California Davis

In this paper, we present a topological approach for simplifying continuous functions defined on volumetric domains. We introduce two atomic operations that remove pairs of critical points of the function and design a combinatorial algorithm that simplifies the Morse-Smale complex by repeated application of these operations. The Morse-Smale complex is a topological data structure that provides a compact representation of gradient flow between critical points of a function. Critical points paired by the Morse-Smale complex identify topological features and their importance. The simplification procedure leaves important critical points untouched, and is therefore useful for extracting desirable features. We also present a visualization of the simplified topology.

关键词： Feature extraction data visualization Topology Computer science data analysis data structures Computer graphics Solid modeling Tree graphs Probability distribution

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