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检索条件"任意字段=Parallel and Distributed Methods for Image Processing IV"

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A multiway model for predicting earthquake ground motion

A multiway model for predicting earthquake ground motion

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14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed Computing, SNPD 2013

作者： Bai, Yang Tezcan, Jale Cheng, Qiang Cheng, Jie Southern Illinois University Carbondale IL 62901 United States University of Hawaii Hilo HI 96720 United States

ISBN: (纸本)9780769550053

This paper develops a novel supervised method for predicting earthquake ground motions in the wavelet domain. The training input is a set of seismological predictors related to seismic source, path and local site conditions, and the training output consists of the weights from a multiway analysis of ground motions. We treat wavelet transforms of acceleration records as images and extract essential patterns from them using tensor decomposition. The decomposition weights of these patterns are then linked to seismological variables using general regression neural network (GRNN). The resulting nonparametric model is then used to predict the wavelet image of an accelerogram for a given set of seismological variables. The predicted image can be transformed back to the time domain using inverse wavelet transform for subsequent processing to match a given design spectrum. Unlike conventional ground motion models, the proposed approach retains the time domain characteristics of ground motions. Pearson's correlation coefficient between the vectorized forms of actual and predicted wavelet images has been used as the similarity metric in assessing the prediction capability of the resulting model. Experimental results demonstrate the ability of the proposed model to predict significant patterns in the seismic energy distribution. © 2013 IEEE.

关键词： Correlation methods

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Storm System Database: A Big Data Approach to Moving Object Databases

Storm System Database: A Big Data Approach to Moving Object ...

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4th International Conference on Computing for Geospatial Research and Application (COM.Geo)

作者： Olsen, Brian McKenney, Mark So Illinois Univ Dept Comp Sci Edwardsville IL 62026 USA

ISBN: (纸本)9780769550121

Rainfall data is often collected by measuring the amount of precipitation collected in a physical container at a site. Such methods provide precise data for those sites, but are limited in granularity to the number and placement of collection devices. We use radar images of storm systems that are publicly available and provide rainfall estimates for large regions of the globe, but at the cost of loss of precision. We present a moving object database called Storm DB that stores decibel measurements of rain clouds as moving regions, ie., we store a single rain cloud as a region that changes shape and position over time. Storm DB is a prototype system that answers rain amount queries over a user defined time duration for any point in the continental United States. In other words, a user can ask the database for the amount of rainfall that fell at any point in the US over a specified time window. Although this single query seems straightforward, it is complicated due to the expected size of the dataset: storm clouds are numerous, radar images are available in high resolution, and our system will collect data over a large timeframe;thus, we expect the number and size of moving regions representing storm clouds to be large. To implement our proposed query, we bring together the following concepts: (i) image processing to retrieve storm clouds from radar images, (ii) interpolation mechanisms to construct moving regions with infinite temporal resolution from region snapshots, (iii) transformations to compute exact point in moving polygon queries using 2-dimensional rather than 3-dimensional algorithms, (iv) GPU algorithms for massively parallel computation of the duration that a point lies inside a moving polygon, and (v) map/reduce algorithms to provide scalability. The resulting prototype lays the groundwork for building big data solutions for moving object databases.

关键词： graphics processing units image processing query processing radar imaging visual databases

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parallel implementation of a X-ray tomography reconstruction algorithm based on MPI and CUDA 13

Parallel implementation of a X-ray tomography reconstruction...

引用

20th European MPI Users' Group Meeting, EuroMPI 2013

作者： Blas, Javier Garcia Abella, Monica Liria, Ernesto Isaila, Florin Carretero, Jesus Desco, Manuel Computer Architecture and Communication Area University Carlos III Madrid Spain Bioengineering and Aerospace Engineering IiSGM CIBERSAM Madrid Spain

ISBN: (纸本)9788461651337

Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory. image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp, Davis and Kress (FDK). Currently there is a strong need to speedup the reconstruction of X-Ray CT data in order to extend its clinical applications. The evolution of the semiconductor detector panels has resulted in an increase of detector elements density, which produces a higher amount of data to process. This work focuses on future high-resolution studies (density up to 4096 pixeles), in which multiple level of parallelism will be needed in the reconstruction. In addition, this paper addresses the future challenges of processing high-resolution images in many-core and distributed architectures. In our evaluation section we demonstrate that our solution is 17% faster than recent related works. Copyright 2013 ACM.

关键词： parallel architectures

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Visualizing parallelism in CS 2

Visualizing Parallelism in CS 2

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IEEE International Symposium on parallel and distributed processing Workshops and PhD Forum

作者： Sean Massung Cinda Heeren Computer Science Dept College of Engineering University of Illinois at Urbana-Champaign

ISBN: (纸本)9781479913725

This paper describes the incorporation of the IEEE-TCPP Curriculum Initiative into CS 2 at the University of Illinois at Urbana-Champaign. With control over only one course that requires a semi-rigid curriculum, we detail a sequence of three lessons that explore the basics of parallelism in a visual manner. We draw a contrast between standard teaching methods for parallelism and assert that our approach is more engaging and more accessible, particularly to spatial learners. We then present examples of our image-centric course material and discuss its deployment. Lastly, we reflect on the effectiveness of this technique over the past two semesters and consider its direction in the future.

关键词： parallelism Synclitism CONTAINMENT SPRAY carbon monosulfide Cesium conditioned stimulus Curriculum Illinois Pedagogy Teaching methods

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distributed and parallel Subarray Beamforming for Near-Field 3D Sonar Imaging

Distributed and Parallel Subarray Beamforming for Near-Field...

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International Conference on Computer Science and Network Technology

作者： Yeqiang Han Jiabao Fu Fan Zhou Xiang Tian Yaowu Chen Inst. of Adv. Digital Technol. & Instrum. Zhejiang Univ. Hangzhou China

ISBN: (纸本)9781479905607

The computational load is prohibitive in 3D sonar systems for real-time image generation. In the literature, an efficient frequency beamforming method based on the distributed and parallel subarray (DPS) has been introduced for planar arrays working in the far field. This paper extends the DPS beamforming algorithm to process the signals acquired from a scene in the near field. The alogrithm divides the full populated transducer array into two stage distributed subarrays. It performs parallel beamforming on the first-stage subarrays and applies the approximation for time delays in the near-field beam patterns of the second-stage subarray. The computational efficiency is significantly improved as compared with the traditional methods, while achieving the similar resolutions. In addition, a multi-FPGA signal processor is proposed for implementing the underwater 3-D imaging.

关键词： array signal processing delay systems field programmable gate arrays sonar imaging DPS beamforming algorithm computational load distributed subarray beamforming frequency beamforming method multiFPGA signal processor near-field 3D sonar imaging near-field beam patterns parallel subarray beamforming real-time image generation time delays Array signal processing Arrays Imaging Signal processing algorithms Sonar Three-dimensional displays distributed and parallel subarray beamforming sonar sensor array system sonar signal processing underwater 3D imaging

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Using clusters in undergraduate research: distributed animation rendering, photo processing, and image transcoding

Using clusters in undergraduate research: Distributed animat...

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IEEE International Conference on Cluster Computing

作者： Peter Bui Travis Boettcher Nicholas Jaeger Jeffrey Westphal Department of Computer Science University of Wisconsin - Eau Claire Eau Claire Wisconsin

With distributed and parallel computing becoming increasingly important in both industrial and scientific endeavors, it is imperative that students are introduced to the challenges and methods of high performance and high throughput computing. Because these topics are often absent in standard undergraduate computer science curriculums, it is necessary to encourage and support independent research and study involving distributed and parallel computing. In this paper, we present three undergraduate research projects that utilize distributed computing clusters: animation rendering, photo processing, and image transcoding. We describe the challenges faced in each project, examine the solutions developed by the students, and then evaluate the performance and behavior of each system. At the end, we reflect on our experience using distributed clusters in undergraduate research and offer six general guidelines for mentoring and pursing distributed computing research projects with undergraduates. Overall, these projects effectively promote skills in high performance and high throughput computing while enhancing the undergraduate educational experience.

关键词： Computers Animation Browsers Transcoding Reliability

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Building Variable Resolution Occupancy Grid Map from Stereoscopic System - a Quadtree based Approach

Building Variable Resolution Occupancy Grid Map from Stereos...

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IEEE Intelligent Vehicles Symposium

作者： Li, You Ruichek, Yassine Univ Technol Belfort Montbeliard Inst Rech Transports Energie & Soc Lab Syst & Transport IRTES SET F-90010 Belfort France

ISBN: (纸本)9781467327541

In intelligent vehicle field, occupancy grid maps are popular tools for representing the environment. Usually, occupancy grids, mapping the environment as a field of uniformly distributed binary/ternary variables, are generated by various kinds of sensors (e. g. lidar, radar, monocular/binocular vision system). In literature, most of proposed occupancy grid mapping methods create array-based fixed-resolution maps in either cartesian, polar, or column/disparity spaces. The problems of such maps are accuracy deficiency and prohibitive memory cost when trying to increase the resolution. This paper addresses these issues by presenting a novel variable-resolution occupancy grid map based on quadtree structure from stereovision measurements. In the proposed method, a quadtree-based grid map with a settled resolution is calculated from a stereoscopic system at first. Then, the previously created map adapts its resolution to actual stereo measurements by merging or splitting nodes in the quadtree structure. The principal advantage of the proposed method is the ability to improve map's accuracy. Meanwhile, compared with some existing methods, the stereo-vision based occupancy grid mapping algorithm is improved. Experimental results with real datasets demonstrate that the accuracy of grid map created by our method is promoted from decimeter to centimeter.

关键词： grid computing road vehicles stereo image processing traffic engineering computing visual perception

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A Study of the Behavior of Synchronization methods in Commonly Used Languages and Systems

A Study of the Behavior of Synchronization Methods in Common...

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International Symposium on parallel and distributed processing (IPDPS)

作者： Daniel Cederman Bapi Chatterjee Nhan Nguyen Yiannis Nikolakopoulos Marina Papatriantafilou Philippas Tsigas Computer Science and Engineering Chalmers University of Technology Sweden

ISBN: (纸本)9781467360661

Synchronization is a central issue in concurrency and plays an important role in the behavior and performance of modern programmes. Programming languages and hardware designers are trying to provide synchronization constructs and primitives that can handle concurrency and synchronization issues efficiently. Programmers have to find a way to select the most appropriate constructs and primitives in order to gain the desired behavior and performance under concurrency. Several parameters and factors affect the choice, through complex interactions among (i) the language and the language constructs that it supports, (ii) the system architecture, (iii) possible run-time environments, virtual machine options and memory management support and (iv) applications. We present a systematic study of synchronization strategies, focusing on concurrent data structures. We have chosen concurrent data structures with different number of contention spots. We consider both coarse-grain and fine-grain locking strategies, as well as lock-free methods. We have investigated synchronization-aware implementations in C++, C# (.NET and Mono) and Java. Considering the machine architectures, we have studied the behavior of the implementations on both Intel's Nehalem and AMD's Bulldozer. The properties that we study are throughput and fairness under different workloads and multiprogramming execution environments. For NUMA architectures fairness is becoming as important as the typically considered throughput property. To the best of our knowledge this is the first systematic and comprehensive study of synchronization-aware implementations. This paper takes steps towards capturing a number of guiding principles and concerns for the selection of the programming environment and synchronization methods in connection to the application and the system characteristics.

关键词： Synchronization Instruction sets Data structures Throughput Memory management Java Programming

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A Laplace transform method for the image in-painting

A Laplace transform method for the image in-painting

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The 12th International Symposium on distributed Computing and Applications to Business,Engineering and Science(DCABES 2013)(第十二届分布式计算及其应用国际学术研讨会)

作者： N.Kokulan C.-H.Lai School of Computing and Mathematical Sciences University of Greenwich London UK

There are many image processing techniques based on partial differential equations that perform well,but they consume much computational ***'s vital that rapid and efficient ways of solving these equations are *** of the Laplace transforms permits solution to the time dependent problems in a parallel *** solution procedure requires numerical computation of an inverse Laplace transform of which the Stehfest method was examined in the *** investigated the performance and efficiency of using the Laplace transform technique for the solution of a mathematical model related to image in-painting and compared the results with temporal integration.

关键词： CDD in-painting temporal parallel methods time dependent problems

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Multi-label Classification with Clustering for image and Text Categorization

Multi-label Classification with Clustering for Image and Tex...

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International Congress on image and Signal processing

作者： Gulisong Nasierding Atul Sajjanhar School of Computer Science and Technology Xinjiang Normal University Parallel and Distributed Computing Lab School of Information Technology Deakin University

ISBN: (纸本)9781479927654

This paper explores effective multi-label classification methods for multi-semantic image and text categorization. We perform an experimental study of clustering based multi-label classification (CBMLC) for the target problem. Experimental evaluation is conducted for identifying the impact of different clustering algorithms and base classifiers on the predictive performance and efficiency of CBMLC. In the experimental setting, three widely used clustering algorithms and six popular multi-label classification algorithms are used and evaluated on multi-label image and text datasets. A multi-label classification evaluation metrics, micro F1-measure, is used for presenting predictive performances of the classifications. Experimental evaluation results reveal that clustering based multi-label learning algorithms are more effective compared to their non-clustering counterparts.

关键词： Multi-label classification Clustering image and text categorization

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