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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"

共 15522 条记录，以下是251-260 订阅

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large-Scale Cinematic visualization Using Universal Scene Description 9

Large-Scale Cinematic Visualization Using Universal Scene De...

引用

9th ieee symposium on large data analysis and visualization (LDAV)

作者： Bolstad, Mark A. Sandia Natl Labs Livermore CA 94550 USA

ISBN: (纸本)9781728126050

Universal Scene Description (USD) is the core of Pixar Animation Studios graphics and rendering pipeline. Released as open source in 2016, USD provides for the interchange of elemental assets (e.g. models), but additionally enables assembly and organization of any number of assets into higher level concepts, such as scenes or shots. These assets can be non-destructively edited or modified through layering that can then be transmitted between applications. Exporting scientific simulations through the USD API allows access to a wide range of tools for creating cinematic visualizations or for viewing scientific simulations in an augmented/virtual reality environment.

关键词： Human-centered computing visualization visualization systems and tools visualization toolkits Computing methodologies Computer graphics Graphics systems and interfaces Graphics file formats

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Massive data visualization Techniques for use in Virtual Reality Devices 12

Massive Data Visualization Techniques for use in Virtual Rea...

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12th ieee symposium on large-Scale data analysis and visualization (LDAV)

作者： Ortiz, Jason A. Insley, Joseph A. Knowles, Janet Mateevitsi, Victor A. Papka, Michael E. Rizzi, Silvio Argonne Natl Lab Argonne IL 60439 USA Univ Cent Florida Orlando FL 32816 USA Northern Illinois Univ De Kalb IL 60115 USA

ISBN: (数字)9781665491563

ISBN: (纸本)9781665491563

Scientific simulations executed on supercomputers produce massive amounts of data. Visualizing this data is essential to discovery and dissemination, but methods for transforming and displaying such large data visualizations for use in Extended Reality (XR) devices are not commonly supported. We investigated the viability of existing XR applications (i.e., ParaView VR, SummitVR, and Omniverse XR) to display large data visualizations. Our investigations led us to create a proof-of-concept Virtual Reality (VR) application with Unity using Universal Scene Description (USD) files exported from Houdini to display and interact with large time-varying scientific data visualizations. We present our investigations as a basis for future work to display and interact with scientific data visualizations in XR.

关键词： Solid modeling data analysis Extended reality data visualization Games data models Supercomputers

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Force-Directed Graph Layouts by Edge Sampling 9

Force-Directed Graph Layouts by Edge Sampling

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9th ieee symposium on large data analysis and visualization (LDAV)

作者： Gove, Robert Two Six Labs Arlington VA 22203 USA

ISBN: (纸本)9781728126050

Recent work shows that sampling algorithms can be an effective tool for graph visualization. This paper extends prior work by applying edge sampling algorithms to speed up the spring force calculation in force-directed graph layout algorithms. An experiment on 72 graphs finds that some sampling algorithms achieve comparable quality as no sampling. This result is confirmed with visualizations of the graph layout results. However, runtime improvements are small, especially for graphs with 10,000 vertices or fewer, indicating that the runtime savings might not be worth the risk to layout quality. Therefore, this paper suggests that accurate spring forces may be more important to force-directed graph layout algorithms than accurate electric forces. A copy of this paper plus the code and data to reproduce the results are available at https://***/4ja29/

关键词： Human-centered computing visualization visualization techniques Graph drawings Theory of computtion Design and analysis of algorithms Streaming, sublinear and near linear time algorithms Sketching and sampling

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Patch based image processing for complex environment characterization

Patch based image processing for complex environment charact...

引用

International Image Processing, Applications and Systems Conference (IPAS)

作者： Corentin Menier Cyril Meurie Timothée Guillemaille Yassine Ruichek Juliette Marais Univ Gustave Eiffel COSYS-LEOST Villeneuve d’Ascq France UTBM Belfort France

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

Environment analysis is a critical part of autonomous vehicle for transport applications and for passenger safety. The solutions demonstrating the greatest robustness have been integrating multiple sensors used for redundancy and refinement purposes. Vision applications have proven to offer a high degree of flexibility and performance. One particular instance of this is higlighted in vehicle localisation, which predominantly relies on GNSS-based systems for positioning calculation using propagation time measurements. However, this signal may be degraded through the environment around the vehicle, worst case being urban canyons leading to Non Line Of Sight(NLOS) scenarios or multipaths issues due to reflecting obstacles. Previous work have shown vision-based algorithms can be used to mitigate these effects. One widely studied approach relies on the segmentation of an acquired wide-angle image installed on the roof of the vehicle and oriented toward the *** the sky processing module is binary, the pipeline lack any way to express its uncertainty when applying weighting policies to the detected satellite state, which can be detrimental to the resulting positioning. In this paper, we propose a novel way of analysing wide-angle camera images, also known as fisheye images, dividing the image into patches to output the corresponding situation of each region of interest. Additionally we propose a new class to the previous sky versus non-sky segmentation, designated as mixed class and designed to serve as a fuzzy answer by the deep learning model to improve confidence to other scenarios as well as allow for new analysis policies of satellites signals. The data-driven algorithm is designed and tested on a publicly available dataset, composed of a large number of finely labelled images provided by ISAE-SUPAERO reaching a 94% accuracy.

关键词： Training Global navigation satellite system visualization Satellites Three-dimensional displays Accuracy Uncertainty Vegetation mapping Cameras Trajectory

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Visual analysis of large Dental Imaging data in Caries Research 4

Visual Analysis of Large Dental Imaging Data in Caries Resea...

引用

ieee symposium on large data analysis and visualization

作者： Ruan, Guangchen Zhang, Hui Indiana Univ Sch Informat & Comp Bloomington IN 47405 USA Indiana Univ Pervas Technol Inst Bloomington IN 47405 USA

ISBN: (纸本)9781479952151

With dental imaging data acquired at unprecedented speed and resolution, traditional serial image processing and single-node storage need to be re-examined in a "Bigdata" context. Furthermore, most previous dental computing has focused on the actual imaging acquisition and image analysis tools, while much less research has focused on enabling caries assessment via visual analysis of large dental imaging data. In this paper we present DENVIS, an end-to-end solution for cariologists to manage, mine, visualize, and analyze large dental imaging data for investigative carious lesion studies. DENVIS consists of two main parts: data driven image analysis modules triggered by imaging data acquisition that exploit parallel MapReduce tasks and ingest visualization archive into a distributed NoSQL store, and user driven modules that allow investigative analysis at run time. DENVIS has seen early use by our collaborators in oral health research, where our system has been used to pose and answer domain-specific questions for quantitative assessment of dynamic carious lesion activities.

关键词： dental computing visual knowledge discovery MapReduce I.6.8 [SIMULATION AND MODELING]: Types of Simulation Parallel H.5.2 [INFORMATION INTERFACES AND PRESENTATION]: User Interfaces Graphical user interfaces

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Exploring visualization Techniques with HACC Simulation data 8

Exploring Visualization Techniques with HACC Simulation Data

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8th ieee symposium on large-Scale data analysis and visualization (LDAV)

作者： Adamo, Joseph Emberson, J. D. Brooks, Edouard Rizzi, Silvio Insley, Joseph Papka, Michael E. Univ Illinois Champaign IL USA Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ De Kalb IL 60115 USA

ISBN: (纸本)9781538668733

In this project we explore several different techniques for visualizing data created by Hardware/Hybrid Accelerated Cosmology Code (HACC) cosmology simulations. We present four methods that have thus far been explored. Mainly, we discuss visualizing data through ParaView, vl3, SPH interpolation, and virtual reality environments. We display our preliminary results, as well as our plans to begin applying our techniques to large scale data sets.

关键词： Cosmology

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Techniques for data-Parallel Searching for Duplicate Elements 7

Techniques for Data-Parallel Searching for Duplicate Element...

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ieee 7th symposium on large data analysis and visualization (LDAV)

作者： Lessley, Brenton Moreland, Kenneth Larsen, Matthew Childs, Hank Univ Oregon Eugene OR 97403 USA Sandia Natl Labs Albuquerque NM USA Lawrence Livermore Natl Lab Livermore CA USA

ISBN: (纸本)9781538606179

We study effective shared-memory, data-parallel techniques for searching for duplicate elements. We consider several data-parallel approaches, and how hash function, machine architecture, and data set can affect performance. We conclude that most choices of algorithm and hash function are problematic for general usage. However, we demonstrate that the choice of the Hash-Fight algorithm with the FNV1a hash function has consistently good performance over all configurations.

关键词： Sorting Computer architecture Indexing Algorithm design and analysis Runtime Electronic mail

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A visualization Pipeline for large-Scale Tractography data 5

A Visualization Pipeline for Large-Scale Tractography Data

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ieee 5th symposium on large data analysis and visualization (LDAV)

作者： Kress, James Anderson, Erik Childs, Hank Univ Oregon Eugene OR 97403 USA Elect Geodes Inc Eugene OR USA Lawrence Berkeley Natl Lab Berkeley CA USA

ISBN: (纸本)9781467385176

We present a novel methodology for clustering and visualizing large-scale tractography data sets. Tractography data sets contain hundreds of millions of line segments, making visualizing and understanding this data very difficult. Our method reduces and simplifies this data to create coherent groupings and visualizations. Our input is a collection of tracts, from which we derive metrics and perform clustering. Using the clustered data, we create a three-dimensional histogram that contains the counts of the number of tracts that intersect each bin. With these new data sets, we can perform standard visualization techniques. Our contribution is the visualization pipeline itself, as well as a study and evaluation schema. Our study utilizes our evaluation schema to identify the best and most influential clustering metrics, and an optimal number of clusters under varying user requirements.

关键词： Tractography Neuroscience visualization Clustering

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Topological analysis of High Velocity Turbulent Flow 9

Topological Analysis of High Velocity Turbulent Flow

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9th ieee symposium on large data analysis and visualization (LDAV)

作者： Bridel-Bertomeu, Thibault Fovet, Benjamin Tierny, Julien Vivodtzev, Fabien CEA Paris France Sorbonne Univ CNRS LIP6 Paris France

ISBN: (纸本)9781728126050

In order to guarantee the performances of complex systems, the CEA is driving large numerical simulations in various fields such as thermomechanics, electromagnetism and aerodynamics. Due to the size of the problems and the use of High Performance Computing approaches, large and complex datasets need to be explored to understand the physical phenomena. This paper focuses on the exploration of a compressible turbulent 2D flow, to better understand the flight behavior of an object. Topological data analysis (TDA) is used to improve understanding and avoid costly traditional methods such as 3D modal decomposition algorithms or highly technical hydrodynamic stability codes. The attention is put on the large eddies shed behind a cylinder hit by a crossflow. Thanks to TDA the tracking of the eddies, the identification of their origin and the evolution of their amplitude with the downstream distance are facilitated.

关键词： Topology

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Toward Bi-directional In Situ visualization and analysis of Blood Flow Simulations With Dynamic Deforming Walls 12

Toward Bi-directional In Situ Visualization and Analysis of ...

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12th ieee symposium on large-Scale data analysis and visualization (LDAV)

作者： Tishchenko, Nazariy Ferrier, Nicola Insley, Joseph A. Mateevitsi, Victor A. Papka, Michael E. Rizzi, Silvio Tan, Jifu Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ De Kalb IL 60115 USA

ISBN: (数字)9781665491563

ISBN: (纸本)9781665491563

We present some preliminary work toward bi-directional in situ visualization and analysis of blood flow considering blood cell suspensions and dynamic moving walls to mimic the clot growth process. The work is implemented through integrating multiple open source packages including fluid flow solver, blood cells, and in situ visualization and analysis. It shows that in situ visualization enables us to examine and process the simulation results without writing data to files. In addition, preliminary results on bidirectional steering (still in progress) can accelerate engineers to explore the complicated stress environment experienced by clots of different sizes.

关键词： Deformable models Analytical models Simulation data visualization Bidirectional control Writing Aerodynamics

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