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5th International conference on Computer Graphics, Imaging and visualization (CGIV)

作者： Bin Forkan, Fadni Shamsuddin, Siti Mariyam Hj Univ Teknol Malaysia Fac Comp Sci & Informat Syst Skudai 81310 Johor Malaysia

ISBN: (纸本)9780769533599

This work introduces a new method for surface reconstruction based on hybrid soft computing techniques: Kohonen Network and Particle Swarm optimization (PSO). Kohonen network learns the sample data through mapping grid that can grow. The implementation is executed by generating Kohonen mapping framework of the data subsequent to the learning process. Consequently, the learned and well-represented data become the input for surface fitting procedure, and in this study, PSO is proposed to probe the optimum fitting points on the surfaces. The proposed algorithms are applied on different types of curve and surfaces to observe its ability in reconstructing the objects while preserving the original shapes. The experimental results have shown that the proposed algorithm have succeeded in producing the with minimum errors generated.

关键词： Surface reconstruction Kohonen network Growing grid Particle Swarm optimization

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Discovery multiple data structures in Big Data through global optimization and clustering methods 22

Discovery multiple data structures in Big Data through globa...

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22nd International conference Information Visualisation (IV) - Biomedical visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging

作者： Bifulco, Ida Cirillo, Stefano Univ Salerno Dept Comp Sci Fisciano SA Italy

ISBN: (纸本)9781538672020

In this paper. we propose an approach to Big Data visualization, based on clustering techniques, in order to find a structure of them and to facilitate their visualization. However, the main problem of clustering is that sometimes it converges to a local minimum, showing only one solution. Thus. an optimization of the K-means algorithm has been proposed, with the aim to escape from local minimum and to visualize different solutions of the same problem. In particular, we use the K-means algorithm with multiple random starting points. in order to find several solutions to the same problem. The algorithm has been used experimentally on the data of the Italian cans for tender, extracted through a crawling technique, and optimized through the proposed approach. The aim here is to achieve a repository of calls for tender, which are clusterized so that they can be easily inquired and displayed during the formulation of an offer from a bidder company. The results on this case study show the feasibility and validity of the proposed approach.

关键词： Clustering global optimization K-means algorithm unsupervised learning public procurements

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Spatiotemporal visualization of Traffic Paths Using Color Space Time Curve 5

Spatiotemporal Visualization of Traffic Paths Using Color Sp...

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IEEE International conference on Big Data (IEEE Big Data)

作者： Baskaran, Savitha Fang, Shiaofen Jiang, Shenhui IUPUI Dept Comp Sci Indianapolis IN 46202 USA

ISBN: (纸本)9781538627150

In spatiotemporal data visualization, integrating the time dimension with the spatial dimensions is a challenging problem. In this paper, we propose a new time representation method by mapping time onto a time curve in a color space. Since no spatial dimension is needed for the time axis, this approach is more effective in integrating time space and spatial dimensions. Several designs of the time curves in a 3D color space will be discussed. We apply this approach to the visualization application for a large taxi GPS dataset. The visualization is applied directly over an interactive map to depict the time patterns of a large set of driving paths on city roads. Spatial optimization techniques are also implemented to process large volumes of GPS data. This approach provides a new alternative for many spatiotemporal data visualization application

关键词： spatiotemporal data visualization traffic path time axis

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Interactive Visual optimization and Analysis for RFID Benchmarking

Interactive Visual Optimization and Analysis for RFID Benchm...

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IEEE Information visualization conference/IEEE visualization conference

作者： Wu, Yingcai Chung, Ka-Kei Qu, Huamin Yuan, Xiaoru Cheung, S. C. Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Kowloon Hong Kong Peoples R China Peking Univ Minist Educ Key Lab Machine Percept Beijing 100871 Peoples R China Peking Univ Sch EECS Beijing 100871 Peoples R China

Radio frequency identification (RFID) is a powerful automatic remote identification technique that has wide applications. To facilitate RFID deployment, an RFID benchmarking instrument called alpha Gate has been invented to identify the strengths and weaknesses of different RFID technologies in various environments. However, the data acquired by alpha Gate are usually complex time-varying multidimensional 3D volumetric data, which are extremely challenging for engineers to analyze. In this paper, we introduce a set of visualization techniques, namely, parallel coordinate plots, orientation plots, a visual history mechanism, and a 3D spatial viewer, to help RFID engineers analyze benchmark data visually and intuitively. With the techniques, we further introduce two workflow procedures (a visual optimization procedure for finding the optimum reader antenna configuration and a visual analysis procedure for comparing the performance and identifying the flaws of RFID devices) for the RFID benchmarking, with focus on the performance analysis of the alpha Gate system. The usefulness and usability of the system are demonstrated in the user evaluation.

关键词： RFID visualization Visual analytics Visual optimization

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A three-stage system for camera calibration

A three-stage system for camera calibration

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conference on visualization and optimization techniques

作者： Wu, Q Xu, GY Wang, L Dept. of Comp. Science and Technol. Tsinghua University Beijing 100084 China

ISBN: (纸本)081944281X

This paper proposes a calibration system consisting of three components: a quasi-linear intrinsic calibrator, a linear extrinsic calibrator and a nonlinear L-M optimizer. The focal length is evaluated from vanishing points. Then the rotation matrix and the translation vector are estimated linearly. At last a Levenberg-Marquardt optimization is performed to refine the extrinsic parameters by minimizing the reprojection error. The parameterization of the rotation matrix is discussed in detail, and two parameterization methods, Euler-Angle and Axis-Angle, are compared. Experimental results prove that the system can calibrate the cameras precisely.

关键词： calibration vanishing points parameterization Levenberg-Marquardt optimization

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Technical visualizations in VLSI design

Technical visualizations in VLSI design

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38th Design Automation conference (DAC)

作者： Restle, PJ IBM Corp TJ Watson Res Ctr Yorktown Hts NY 10598 USA

ISBN: (纸本)1581132972

visualization techniques were applied to several different types of VLSI design and simulation data. A number of different visualizations have been tried, with varying results. Examples include 3D visualization of voltage and currents from fullwave interconnect analysis, on-chip clock distribution networks, chip/package power supply noise analysis, wire congestion, chip layout imaging, and static circuit tuning. The goals, successes, and failures of these examples will be discussed, along with some unexpected benefits from our ability to easily see patterns in complex visualizations.

关键词： visualization VLSI design interconnect inductance clock distribution circuit optimization

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Phase-based visualization and analysis of Java programs

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SCIENCE OF COMPUTER PROGRAMMING 2006年第1-2期59卷 64-81页

作者： Nagpurkar, P Krintz, C Univ Calif Santa Barbara Dept Comp Sci Santa Barbara CA 93106 USA

Extant Java Virtual Machines (JVMs) apply dynamic compiler optimizations adaptively, based on the partial execution of the program, with the goal of improving performance. Understanding and characterizing program behavior is of vital importance to such systems. Recent research, primarily in the area of computer architecture, has identified potential optimization opportunities in the repeating patterns in the time-varying behavior of programs. In view of this, we believe that by considering time-varying, i.e., phase, behavior in Java programs, adaptive JVMs can enable performance that exceeds current levels. To enable analysis and visualization of phase behavior in Java programs and to facilitate optimization development, we have implemented a freely available, offline, phase analysis framework within the IBM Jikes Research Virtual Machine (JikesRVM) for Java. The framework couples existing techniques into a unifying set of tools for data collection, processing, and analysis of dynamic phase behavior in Java programs. The framework enables optimization developers to significantly reduce analysis time and to target adaptive optimization to parts of the code that will recur with sufficient regularity. We use the framework to evaluate phase behavior in the SpecJVM benchmark suite and discuss optimizations that are enabled by the framework. (c) 2005 Elsevier B.V. All rights reserved.

关键词： program phases program behaviour visualization program analysis Java

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Voxelization: Multi-target optimization for Biomedical Volume Rendering 16th

Voxelization: Multi-target Optimization for Biomedical Volum...

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Mediterranean conference on Medical and Biological Engineering and Computing (MEDICON) and International conference on Medical and Biological Engineering (CMBEBIH)

作者： Denisova, Elena Manetti, Leonardo Bocchi, Leonardo Iadanza, Ernesto Univ Florence Dept Informat Engn Via S Marta 3 I-50139 Florence Italy Univ Siena Dept Med Biotechnol Via Banchi Sotto 55 I-53100 Siena Italy Epica Imaginalis Via Rodolfo Morandi 13-15 I-50019 Sesto Fiorentino Italy Eidolab Florence Italy

ISBN: (纸本)9783031490613;9783031490620

Almost all existing software for visualization of biomedical volumes provides three-dimensional (3D) rendering. The most common techniques for 3D rendering of volume data are maximum intensity projection (MIP) and direct volume rendering (DVR). Recently, rendering algorithms based on Monte-Carlo path tracing (MCPT) have also been considered. Depending on the algorithm, level of detail, volume size, and transfer function, rendering can be quite slow. In this paper, we present a simple and intuitive voxelization method for biomedical volume rendering optimization. The main advantage of the proposed method, besides the fast structure construction and traversal, is its straightforward application to MIP, DVR and MCPT rendering techniques (multi-target optimization). The same single structure (voxel grid) can be used for empty space skipping, optimized maximum intensity calculation and advanced Woodcock tracking. The performance improvement results suggest the use of the proposed method especially in cases where different rendering techniques are combined.

关键词： Rendering optimization Voxelization Biomedical volumes visualization

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visualization of multidimensional design and optimization data using cloud visualization

Visualization of multidimensional design and optimization da...

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28th Design Automation conference

作者： Eddy, John Lewis, Kemper E. Department of Mechanical and Aerospace Engineering University at Buffalo Buffalo NY 14260 United States

ISBN: (纸本)0791836215

As our ability to generate more and more data for increasingly large engineering models improves, the need for methods for managing that data becomes greater. Information management from a decision-making perspective involves being able to capture and represent significant information to a designer so that they can make effective and efficient decisions. However, most visualization techniques used in engineering, such as graphs and charts, are limited to two-dimensional representations and at most three-dimensional representations. In this paper, we present a new visualization technique to capture and represent engineering information in a multidimensional context. The new technique, Cloud visualization, is based upon representing sets of points as clouds in both the design and performance spaces. The technique is applicable to both single and multiobjective optimization problems and the relevant issues with each type of problem are discussed. A multiobjective case study is presented to demonstrate the application and usefulness of the Cloud visualization techniques. Copyright © 2002 by ASME.

关键词： Cloud platforms

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Enhancing the interactive visualization of procedurally encoded multifield data with ellipsoidal basis functions

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COMPUTER GRAPHICS FORUM 2006年第3期25卷 587-596页

作者： Jang, Yun Botchen, Ralf P. Lauser, Andreas Ebert, David S. Gaither, Kelly P. Ertl, Thomas Purdue Univ Rendering & Perceptualizat Lab W Lafayette IN 47907 USA Univ Stuttgart D-7000 Stuttgart Germany Univ Texas Texas Adv Comp Ctr Austin TX 78712 USA

Functional approximation of scattered data is a popular technique for compactly representing various types of datasets in computer graphics, including surface, volume, and vector datasets. Typically, sums of Gaussians or similar radial basis functions are used in the functional approximation and PC graphics hardware is used to quickly evaluate and render these datasets. Previously, researchers presented techniques for spatially-limited spherical Gaussian radial basis function encoding and visualization of volumetric scalar vector and multifield datasets. While truncated radially symmetric basis functions are quick to evaluate and simple for encoding optimization, they are not the most appropriate choice for data that is not radially symmetric and are especially problematic for representing linear planar and many non-spherical structures. Therefore, we have developed a volumetric approximation and visualization system using ellipsoidal Gaussian functions which provides greater compression, and visually more accurate encodings of volumetric scattered datasets. In this paper we extend previous work to use ellipsoidal Gaussians as basis functions, create a rendering system to adapt these basis functions to graphics hardware rendering, and evaluate the encoding effectiveness and performance for both spherical Gaussians and ellipsoidal Gaussians.

关键词： UNSTEADY-FLOW visualization RADIAL BASIS FUNCTIONS TEXTURE ADVECTION REPRESENTATION SURFACES POINTS

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