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

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A Performance Estimation Technique for the SegBus distributed Architecture

A Performance Estimation Technique for the SegBus Distribute...

引用

International conference on parallel processing Workshops (ICPPW)

作者： Moazzam Fareed Niazi Tiberiu Seceleanu Hannu Tenhunen Turku Centre of Computer Science TUCS Department of Information Technology University of Turku Finland ABB Corporate Research Malardalen University Vasteras Sweden

We propose a performance estimation technique for a multi-core segmented bus platform, SegBus. The technique enables us to assess the performance aspects of any specific application on a particular platform configuration, modeled in Unified Modeling Language (UML). We present methods to transform Packet Synchronous Data Flow (PSDF) and Platform Specific Model (PSM) models of the application into Extensible Markup Language (XML) schemes using modeling tool and how the generated XML schemes can be utilized by the emulator program to get the execution results. The technique facilitates us to estimate performance aspects of application mapped on a number of different platform configurations during the early stages of the design process.

关键词： Unified modeling language XML Emulation DSL Hardware Field programmable gate arrays Computer architecture

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High-Performance Complex Event processing for Large-Scale RFID Applications

High-Performance Complex Event Processing for Large-Scale RF...

引用

2010 2nd International conference on Signal processing System(2010年信号处理系统国际会议 ICSPS 2010)

作者： Yongheng Wang Shenghong Yang School of Computer and Communication Hunan University Changsha China

RFID technology holds the promise of real-time identifying, locating and monitoring physical objects. Complex event processing is the key part of the RFID middleware. Most of the current methods of complex event processing can't support large-scale RFID applications since they have not considered much on performance and distributed data. In this paper, a distributed CEP architecture is proposed which spreads centralized CEP tasks load over multiple communicating stations over CORBA. Based on this architecture, a high performance plan based distributed CEP method is proposed which uses parallel operations to improve performance. The experimental study sbows that the performance of our approach is remarkable in largescale RFID applications.

关键词： RFID Complex Event processing High-Performance

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Solving the Multi-Operator Placement Problem in Large-Scale Operator Networks

Solving the Multi-Operator Placement Problem in Large-Scale ...

引用

International conference on Computer Communications and Networks (ICCCN)

作者： Stamatia Rizou Frank Dürr Kurt Rothermel Universität Stuttgart Institute of Parallel and Distributed Systems Stuttgart Germany

processing streams of data in an overlay network of operators distributed over a wide-area network is a common idea shared by different applications such as distributed event correlation systems and large-scale sensor networks. In order to utilize network resources efficiently and allow for the parallel deployment of a large number of large-scale operator networks, suitable placement algorithms are vital that place operators on physical nodes. In this paper, we present a distributed placement algorithm that minimizes the bandwidth-delay product of data streams between operators of the network in order to reduce the induced network load. Since the fundamental optimization problem is NP-hard, we propose a heuristic solution. First, we calculate an optimal solution in an intermediate continuous search space, called latency space. Subsequently the continuous solution is mapped to the physical network. Our evaluations show that this algorithm reduces the resulting network load significantly compared to state of the art algorithms and achieves results close to the optimum.

关键词： Peer to peer computing Approximation algorithms Delay Optimization distributed databases Approximation methods

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Decentralization of particle filters using arbitrary state decomposition

Decentralization of particle filters using arbitrary state d...

引用

IEEE conference on Decision and Control

作者： Tianshi Chen Thomas B. Schön Henrik Ohlsson Lennart Ljung Division of Automatic Control Department of Electrical Engineering Linköping University Linkoping Sweden

ISBN: (纸本)9781424477456

In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filtering problem into two nested sub-problems and then handles the two nested sub-problems using PFs. The DPF has an advantage over the regular PF that the DPF can increase the level of parallelism of the PF. In particular, part of the resampling in the DPF bears a parallel structure and thus can be implemented in parallel. The parallel structure of the DPF is created by decomposing the state space, differing from the parallel structure of the distributed PFs which is created by dividing the sample space. This difference results in a couple of unique features of the DPF in contrast with the existing distributed PFs. Simulation results from a numerical example indicates that the DPF has a potential to achieve the same level of performance as the regular PF, in a shorter execution time.

关键词： Approximation methods Proposals Routing parallel processing Particle measurements Accuracy Atmospheric measurements

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Structure preserving semantic coherent object segmentation

Structure preserving semantic coherent object segmentation

引用

IEEE International conference on image processing

作者： Xiaoqian Jiang Qi Wu Peng Tao Latanya Sweeney School of Computer Science Carnegie Mellon University USA Department of ECE Carnegie Mellon University USA

We improve prior efforts to extract coherent image contents (objects) from complex scenes by exploiting structural and semantic coherency. Generative models like latent Dirichlet allocation (LDA) and its variants are popular methods for unsupervised object segmentation, but they lack comprehensive consideration of structure correlations. Even small amounts of globally distributed noise in the image can negatively effect results. In this paper, we introduce a structure preserving semantic coherent model (SP-SC) to support more comprehensive object segmentation. Our approach combines Euclidean distance, graph distances and structural similarity of homogeneous patches in a unified framework. The method groups structural and semantic coherent patches together thereby overcoming false segmentation due to many kinds of noise and scene complexities. Comparative results in segmentation experiments using standard image data sets show the efficacy of proposed approach.

关键词： image segmentation Visualization Horses Object segmentation Semantics Computational modeling Correlation

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A Discrete Event Simulation Model for Understanding Kernel Lock Thrashing on Multi-core Architectures

A Discrete Event Simulation Model for Understanding Kernel L...

引用

International conference on parallel and distributed Systems (ICPADS)

作者： Yan Cui Weiyi Wu Yingxin Wang Xufeng Guo Yu Chen Yuanchun Shi Department of Computer Science and Technology Tsinghua University China

Multi-core architectures have become mainstream. Trends suggest that the number of cores integrated on a single chip will increase continuously. However, lock contention in operating systems can limit the parallel scalability on multi-cores so significantly that the speedup decreases with the increasing number of cores (thrashing). Although the phenomenon can be easily reproduced experimentally, most existing lock models are not able to do so. To overcome this challenge, this paper develops a discrete event simulation model which has the capability of capturing both the sequential execution in critical sections and the contention for shared hardware resources. The model is evaluated using a series of typical parameter configurations which can represent different degrees of lock contention. Experimental results suggest that the thrashing phenomenon can be observed when the model parameters are selected properly. To further understand this phenomenon, statistics such as the percentage of time spent waiting for locks and the number of cores waiting for a lock are exploited to characterize the lock thrashing. In addition, the model sensitivity to changes in memory latency and hardware architectures are also examined. Finally, we use this model to compare three methods which are proposed for preventing the lock thrashing.

关键词： Hardware Discrete event simulation Multicore processing Synchronization Data structures Servers

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A framework for grid-based mobile flower recognition

A framework for grid-based mobile flower recognition

引用

International conference on (DFMA) distributed Frameworks for Multimedia Applications

作者： M. Yazid M. Jaafar Mohd. Azam Osman Wan Mohd Nazmee Wan Zainon Abdullah Zawawi Talib School of Computer Sciences Universiti Sains Islam Malaysia Pulau Pinang Malaysia

Identifying an organic object like a flower against the background picture is known to be challenging. Several methods have been proposed so that unique characteristics of flowers can be extracted with increased accuracy. Establishing this process as a mobile flower identification service for the public requires major adaptation of the system due to numerous picture requests being received simultaneously. This paper presents a framework for grid-based mobile flower recognition that employs 1) grid computing technology for further optimization of multiple concurrent image processing and 2) mobile wireless communication as the primary data transfer for accessing this mobile service. Globus Toolkit is applied as the middleware in the distributed computing environment whereby Short Message Services (SMS) and Multimedia Messaging Services (MMS) technology are used for picture and result delivery.

关键词： Mobile communication Pipelines Engines Grid computing Wireless communication image recognition

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3D Wave field phase retrieval from multi-plane observations

3D Wave field phase retrieval from multi-plane observations

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3DTV conference

作者： Artem Migukin Vladimir Katkovnik Jaakko Astola Department of Signal Processing Tampere University of Technology Tampere Finland

We reconstruct a spatially distributed three-dimensional (3D) wave field from a number of intensity observations, obtained in different sensor planes, parallel to the object plane. The proposed algorithm can be treated as a multiple plane iterative Gerchberg-Saxton algorithm [1]. It is obtained from the best linear estimate of the complex-valued object distribution derived for the complex-valued observations. This estimator is modified for the intensity measurements in the sensor planes. The algorithm is studied by numerical experiments performed for amplitude and phase object distributions. It is shown that the proposed method allows reconstructing the whole 3D wave fields for different setup parameters. This technique can be applied for 3D imaging. The comparison versus the successive iterative method [2] shows an accuracy advantage of the proposed algorithm provided that the type of modulation in the object plane is known.

关键词： Signal processing algorithms image reconstruction Iterative algorithms Phase measurement Optical imaging Optical interferometry Iterative methods Holography Reconstruction algorithms Optical scattering

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The Investigation of Cloud-Computing-based image Mining Mechanism in Mobile Communication WEB on Android

The Investigation of Cloud-Computing-based Image Mining Mech...

引用

International conference on Grid and Cooperative Computing (GCC)

作者： Gu Cai-dong Lu Kan Wu Jian-ping Fu Ying-li Li Jing-xiang Xiao Chang-shui Si Mao-xin Liu Zhao-bin JiangSu Province Support Software Engineering Research and Development Center for Modern Information Technology Application in Enterprise Suzhou Vocational University Suzhou China Department of Computer Engineering Suzhou Vocational University Suzhou China Suzhou Vocational University Suzhou Jiangsu CN

With the development of 3G network technology, the rapid upgrading of mobile phone hardware, and the refined requirements for mobile phones by mobile phone users, it is essential for mobile phones to be able to promptly and accurately process images. A mobile phone terminal sends the service requests to cloud computer system which then processes the requests and sends the results via 3G network back to the mobile phone terminal. This paper presents a architectural model to realize the image processing system that connects mobile phone with clouding computing through 3G network. The method is to build intra-enterprise server group, distributed database system, and parallel computing system to form a private cloud computing system, which defines ontological semantic tags for images uploaded from mobile phone terminals and stores them in a distributed way (cloud storing), and to design the corresponding search algorithms to help the system to promptly and accurately query the images (cloud computing), and retrieve the appropriate images through sorting matching indexes, weights, and etc.

关键词： Cloud computing Mobile handsets Mobile communication Google image processing Clouds

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ON COMPRESSED SENSING IN parallel MRI OF CARDIAC PERFUSION USING TEMPORAL WAVELET AND TV REGULARIZATION

ON COMPRESSED SENSING IN PARALLEL MRI OF CARDIAC PERFUSION U...

引用

IEEE International conference on Acoustics, Speech, and Signal processing

作者： C. Bilen I. W. Selesnick Y. Wang R. Otazo D. Kim L. Axel D. K. Sodickson Polytechnic Institute of NYU Dept. of Electrical and Computer Engineering Brooklyn NY NYU School of Medicine Center for Biomedical Imaging New York NY

ISBN: (纸本)9781424442959;9781424442966

Imaging of cardiac perfusion with MR is a challenging area of research especially due to the motion of the heart and limited time of data acquisition. Compressed sensing is a popular signal estimation method recently adopted by researchers in MRI which can improve the spatial and/or temporal resolution of the acquired images by reducing the number of necessary samples for image reconstruction. This paper focuses on performance of temporal regularization with total variation and wavelets in compressed sensing. The impact of the choice of regularization parameters on the image quality and the temporal variation of intensity in region of interests (ROIs) are discussed. It is found that selecting the regularization parameter so as to optimize the quality of the reconstructed image sequence as a whole, leads to erroneous reconstruction of certain regions due to over regularization.

关键词： Compressed Sensing parallel MRI Cardiac Perfusion Compressed sensing Perfusion COMPRESSED image quality image sequences image reconstruction Television Magnetic Resonance Imaging Data Collection methods C7orf49 gene wavelets

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