检索结果-内蒙古大学图书馆

Phase-based visualization and analysis of Java programs

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

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

visualization of multidimensional design and optimization data using cloud visualization

Visualization of multidimensional design and optimization da...

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Structure revealing techniques based on parallel coordinates plot

引用

VISUAL COMPUTER 2012年第6-8期28卷 541-551页

作者： Zhao, Xin Kaufman, Arie SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA

Parallel coordinates plot (PCP) is an excellent tool for multivariate visualization and analysis, but it may fail to reveal inherent structures for complex and large datasets. Therefore, polyline clustering and coordinate sorting are inevitable for the accurate data exploration and analysis. In this paper, we propose a suite of novel clustering and dimension sorting techniques in PCP, to reveal and highlight hidden trend and correlation information of polylines. Spectrum theory is first introduced to specifically design clustering and sorting techniques for a clear view of clusters in PCP. We also provide an efficient correlation based sorting technique to optimize the ordering of coordinates to reveal correlated relations, and show how our view-range metrics, generated based on the aggregation constraints, can be used to make a clear view for easy data perception and analysis. Experimental results generated using our framework visually represent meaningful structures to guide the user, and improve the efficiency of the analysis, especially for the complex and noisy data.

关键词： Parallel coordinates plot Dimension sorting optimization Visual representation

来源：评论

学校读者我要写书评

暂无评论

Intelligent Simulation and Prediction Methods of Structure State

Intelligent Simulation and Prediction Methods of Structure S...

引用

20th Chinese Control and Decision conference

作者： Yuan, Jingling Zhong, Luo Li, Xiaoyan Wuhan Univ Technol Sch Comp Sci & Technol Wuhan 430070 Peoples R China

ISBN: (纸本)9781424417339

This paper provides a set of intelligent simulation techniques of structure state, which mainly combines intelligent technique of information processing, mix programming, scientific visualization technique, visualization interface based on XML technique, soft component technique and engineering database, etc, this method fully integrates advanced computer science and technology with structure analysis and optimization. Then, intelligent visualization is proposed and researched. Especially, two improved gray models (GRBF static prediction model and DRBF dynamic prediction model) that can well visualize small sample data simulation are proposed. Finally, fundamental intelligent simulation framework of structure state is established.

关键词： Intelligent Simulation XML GRBF DRBF visualization Interface

来源：评论

学校读者我要写书评

暂无评论

A View Selection Method Based on Particle Swarm optimization

A View Selection Method Based on Particle Swarm Optimization

引用

International conference on Computers, Communications and Systems (ICCCS)

作者： Yao Xiaoling Wang Yanni Linyi Univ Informat Sch Linyi Shandong Peoples R China Daxie Zone Finance Bur Informat Ctr Ningbo Zhejiang Peoples R China

ISBN: (纸本)9781467397544

An automatic viewpoint selection method based on the particle swarm optimization is proposed in this paper. The method introduces artificial intelligent techniques to design transfer function and select optimal viewpoint. By the method, the search for the transfer function and the optimal viewpoint are reformulated as a global optimization problem to decrease the reluctant interactions and computations. With this method the optimal position of the observation data is provided. This method improves the visualization efficiency by displaying as much information as possible on the screen.

关键词： volume rendering view point selection transfer function particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

Optimal Control of Shading System using Hybrid Model Predictive Control 13

Optimal Control of Shading System using Hybrid Model Predict...

引用

13th European Control conference (ECC)

作者： Le, Khang Bourdais, Romain Gueguen, Herve SUPELEC IETR Hybrid Syst Control Team F-35511 Cesson Sevigne France

ISBN: (纸本)9783952426913

This paper deals with the adaptation of a model predictive control to a blind system for building for preventing thermal discomfort, which occurs during summer. This system can be seen as a hybrid system by considering various blind positions. The MPC formulation leads to define a multi-objective optimization problem, for which the criteria are antagonist. This method seems to be effectiveness and is illustrated by various simulations within SIMBAD, a Matlab toolbox dedicated to building simulation. The proposed scheme is based on Branch and Bound techniques and does not rely on disturbance predictions, so that it could be easily implemented on industrial products.

关键词： Buildings Mathematical model optimization Predictive models Temperature control Temperature measurement visualization Buildings Temperature control temperature measurement Prediction models Mathematical Model visualization Hybrid modes Optimal control Predictive control hybrid systems branch-and-bound techniques built structure Manufactured products

来源：评论

学校读者我要写书评

暂无评论

Semantic Evolutionary visualization 8th

Semantic Evolutionary Visualization

引用

8th International conference on Swarm Intelligence (ICSI)

作者： Keshk, Marwa Univ New South Wales Canberra Canberra ACT Australia

ISBN: (纸本)9783319618333;9783319618326

The Evolutionary optimization (EO) field has become an active area of research for handling complex optimization problems. However, EO techniques need tuning to obtain better results. visualization is one approach used by EA researchers to identify early stagnation, loss of diversity, and other indicators that can help them to guide evolutionary search to better areas. In this paper, a Semantic Evolutionary visualization framework (SEV) is proposed for analysing and exploring the potential EA dynamics. Empirical results have shown that the SEV can help to reveal and monitor information on evolutionary dynamics;thus, it can assist researchers in adapting the evolutionary parameters to obtain better performance.

关键词： Semantic visualization Fitness landscape analysis EA

来源：评论

学校读者我要写书评

暂无评论

A new approach to reconstruct a 3D high-resolution image from a sequence of low resolution images

A new approach to reconstruct a 3D high-resolution image fro...

引用

conference on visualization and optimization techniques

作者： Xu, QA Maître, H Ecole Natl Super Telecommun Bretagne Dept Signal & Image Proc Paris France

ISBN: (纸本)081944281X

In this paper we propose a new approach to address the 3D multiframe reconstruction problem, by which a high resolution image is reconstructed from several low resolution images. The originality of this approach is that we regard the 3D perspective transformation as a part of the degradation faced by the imaging process from the original 3D object surface to the 2D imaged frames. Therefore, we reconstruct the pixel values of the original image directly from the low resolution image sequences. The quality of this approach is well demonstrated by simulated experiments.

关键词： high resolution multiframe 3D reconstruction gradient descent optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：