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A new real-time downloading and distributed mobile GIS model based on mobile agent

A new real-time downloading and distributed mobile GIS model...

引用

International conference on Audio, Language and image processing

作者： Tian, Gen Department of Geo-informatics Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9781424458653

A new method of real-time downloading and distributed computing model is studied based on mobile geographic information system (GIS) environment. Key technologies are presented in the model, including mobile agent (MA) mobile computing, mobile GIS, global positioning system (GPS), least path computing model, and spatial information distributed grid computing and management model. In order to deal with the narrow bandwidth and instability of the wireless internet, distributed computing of tremendous spatial information, real-time request for spatial information based on limited processing speed and low memory of mobile devices, a new mobile agent based real-time downloading and distributed mobile GIS model (RDMG) is further proposed that has high processing efficiency, less network communication, good load balance and thus suitable for mobile real-time spatial information downloading and distributed computing. Real-time downloading of spatial information and distributed computing realized in the model. The theories and technologies architecture of RDMG are built originally from the base, including the mobile Geo-MA model, mobile GIS client model, mobile agent server model, and distributed GIS server model. An application system for RDMG is therefore developed authorship by visual c ++ and embedded visual c++. A field test is carried out through this system in Shanghai, and the results show that the proposed model and methods are feasible and adaptable for real-time downloading and distributed computing of spatial information based on mobile GIS environment. ©2010 IEEE.

关键词： Mobile agents

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CLOSED-FORM ERROR EXPONENT FOR THE NEYMAN-PEARSON FUSION OF TWO-DIMENSIONAL MARKOV LOCAL DECISIONS

CLOSED-FORM ERROR EXPONENT FOR THE NEYMAN-PEARSON FUSION OF ...

引用

18th European Signal processing conference (EUSIPCO)

作者： Plata-Chaves, Jorge Lazaro, Marcelino Univ Carlos III Madrid Dept Signal Theory & Commun Leganes Madrid Spain

We consider a distributed detection system formed by a large number of local detectors and a fusion center that performs a Neyman-Pearson fusion of the binary quantizations of the sensor observations. The aforementioned local decisions are taken with no kind of cooperation and transmitted to the fusion center over error free parallel access channels. Furthermore, the devices are located on a rectangular lattice so that sensors belonging to a specific row or column are equally spaced. For each hypothesis H-0 and H-1, the correlation structure of the local decisions is modelled with a two-dimensional causal field where the rows and columns are outcomes of the same first-order binary Markov chain. Under this scenario, we derive a closed-form error exponent for the Neyman-Pearson fusion of the local decisions. Afterwards, using the derived error exponent we study the effect of different design parameters of the network on its overall detection performance.

关键词： Signal processing

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Integration of gpgpu methods into a pet reconstruction system

Integration of gpgpu methods into a pet reconstruction syste...

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9th IASTED International conference on parallel and distributed Computing and Networks, PDCN 2010

作者： Schaetz, Sebastian Kucera, Markus Department of Computer Science and Mathematics University of Applied Sciences Regensburg Germany

ISBN: (纸本)9780889868205

Positron emission tomography (PET) is a medical imaging modality that allows the detection of tissue with particular properties or the observation of metabolic processes in living organisms over time. It plays a vital role in cancer diagnosis and heart examination and represents a promising method for early diagnosis of dementia. With the advancement of scanner technology as well as an ever increasing demand for higher quality images and higher patient throughput the image reconstruction system can become a bottleneck of a PET system. To meet this demand for more computing power in the reconstruction system a novel way to speed up the image reconstruction process for modern PET systems is presented. A common graphics processing device in conjunction with the Compute Unified Device Architecture (CUDA) is used to speed up existing algorithms for the CPU. Projectors for full 3D reconstruction are ported to the CUDA device and new algorithms are implemented where necessary. The main focus of this port is to speed up the calculation and to maintain the numerical accuracy of the result. On the basis of the CPU reconstruction system a new system that uses GPU projectors is implemented. With this modification a two-fold speed up is achieved compared to the highly optimized CPU implementation running on 4 CPU cores. Different optimization methods are explored and applied where suitable. The results calculated by GPU and CPU projectors are numerically identical allowing them to be interchanged. The system is validated and the algorithms are integrated into the reconstruction system of Siemens Healthcare Molecular Imaging PET scanners.

关键词： Three dimensional

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Towards building efficient content-based publish/subscribe systems over structured P2P overlays

Towards building efficient content-based publish/subscribe s...

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International conference on parallel processing

作者： Zhang, Shengdong Wang, Ji Shen, Rui Xu, Jie National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China School of Computing University of Leeds Leeds LS2 9JT United Kingdom

ISBN: (纸本)9780769541563

In this paper, we introduce a generic model to deal with the event matching problem of content-based publish/ subscribe systems over structured P2P overlays. In this model, we claim that there are three methods (eventoriented, subscription-oriented and hybrid) to make all the matched pairs (event, subscription) meet in a system. By theoretically analyzing the inherent problem of both eventoriented and subscription-oriented methods, we propose PEM (Popularity-based Event Matching), a variant of hybrid method. PEM can achieve better trade-off between event processing load and subscription storage load of a system. PEM has been verified through both mathematical and simulation-based evaluation. © 2010 IEEE.

关键词： Message passing

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A cluster-based parallel geometric correction algorithm for photogrammetry

A cluster-based parallel geometric correction algorithm for ...

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International conference on Networking and distributed Computing

作者： Liu, Hangye Zhang, Yongsheng Song, Shuang Dept. of Remote Sensing Information Engineering Zhengzhou Institute of Mapping and Surveying Zhengzhou China Jiangxi Province Key Lab. for Digital Land East China Institute of Technology FuZhou China Research Institute of Communication China Electronic Device System Engineering Company Beijing China

ISBN: (纸本)9780769542072

With the rapid development of data acquiring technology, the amount of image data that need to be geometrically corrected in photogrammetry becomes huge, thus processing time is becoming unbearable, especially in some applications that require real-time processing. To solve this kind of problem, the parallel geometric correction algorithm is studied, and a new parallel algorithm based on cluster is put forward. Load balanced data division strategy are analyzed and the issue of data communication is discussed. Experiments show that new algorithm can achieve good performance and has favorable expansibility. © 2010 IEEE.

关键词： Photogrammetry

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EFFICIENT HARDWARE ARCHITECTURE FOR PARTICLE FILTER BASED OBJECT TRACKING

EFFICIENT HARDWARE ARCHITECTURE FOR PARTICLE FILTER BASED OB...

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IEEE International conference on image processing

作者： Abd El-Halym, Howida A. Mahmoud, Imbaby I. Habib, S. E. -D. UKAEA Nucl Res Ctr Abingdon Oxon England Cairo Univ Fac Engn Cairo Egypt

ISBN: (纸本)9781424479948

In this paper, an efficient hardware architecture of Sample Important Resample Particle Filter (SIRF) is presented. This architecture carries out the sampling, weighting, and output calculations steps concurrently. The resampling step is implemented in a massively parallel form. For weight computation step, piecewise linear function is used instead of the classical exponential function. This decreases the complexity of the architecture without degrading the results. The presented architecture allows efficient memory utilization in addition to resource saving. Synthesis results confirmed the resource reduction and speed up advantages of our design. The hardware implementation targeted an Enhanced PF for object tracking application. FPGA is used as the implementation hardware platform.

关键词： FPGA hardware architecture object tracking object tracking particle filtering (numerical methods) piecewise linear function piecewise linear techniques sample important resample particle filter

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A study of distributed traffic information acquisition based on clustered VANET

A study of distributed traffic information acquisition based...

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2010 International conference on Optoelectronics and image processing, ICOIP 2010

作者： Wang, Yizhi Hu, Jianming Wang, Qi Zhang, Yi Department of Automation TNList Tsinghua University Beijing 100084 China

ISBN: (纸本)9780769542522

Inter-Vehicle Communication (IVC), which combines traditional traffic theory and network technology together, has drawn increasing research interests in recent years. This paper proposes a prototype of distributed traffic information acquisition based on IVC. Here, equipped vehicles act as moving sensors and form a Wireless Sensor Network (WSN) which takes charge of traffic information acquisition, sharing and fusion. Road-side stations as local access points can collect distributed real-time traffic information and upload it to superior network Traffic Management Centers (TMC). In this paper, a complete analysis and comparison on traffic information acquisition based on clustered VANET and common multi-hop VANET is studied, including the total network load, routing methods etc. And we also establish a simulation platform to realize and validate all these methods or systems. Finally, a clustered network structure is recommended because of its more utilization of network resource and better communication quality. © 2010 IEEE.

关键词： Wireless sensor networks

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Smart pixel camera based signal processing in an interferometric test station for massive parallel inspection of MEMS and MOEMS

Smart pixel camera based signal processing in an interferome...

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conference on Speckle 2010 - Optical Metrology

作者： Styk, Adam Lambelet, Patrick Royset, Arne Kujawinska, Malgorzata Gastinger, Kay Inst Micromech & Photon 8 Sw A Boboli St PL-02525 Warsaw Poland Heliotis Inc CH-6039 Root Langenbold Switzerland SINTEF N-7465 Trondheim Norway

ISBN: (纸本)9780819476708

The paper presents the electro-optical design of an interferometric inspection system for massive parallel inspection of Micro(Opto) ElectroMechanicalSystems (M(O)EMS). The basic idea is to adapt a micro-optical probing wafer to the M(O)EMS wafer under test. The probing wafer is exchangeable and contains a micro-optical interferometer array: a low coherent interferometer (LCI) array based on a Mirau configuration and a laser interferometer (LI) array based on a Twyman-Green configuration. The interference signals are generated in the micro-optical interferometers and are applied for M(O)EMS shape and deformation measurements by means of LCI and for M(O)EMS vibration analysis (the resonance frequency and spatial mode distribution) by means of LI. distributed array of 5x5 smart pixel imagers detects the interferometric signals. The signal processing is based on the "on pixel" processing capacity of the smart pixel camera array, which can be utilised for phase shifting, signal demodulation or envelope maximum determination. Each micro-interferometer image is detected by the 140 x 146 pixels sub-array distributed in the imaging plane. In the paper the architecture of cameras with smart-pixel approach are described and their application for massive parallel electro-optical detection and data reduction is discussed. The full data processing paths for laser interferometer and low coherent interferometer are presented.

关键词： Low coherence interferometry laser inteferometry M(O)EMS testing interferometric signal processing

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The AES Application in image Using Different Operation Modes

The AES Application in Image Using Different Operation Modes

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5th IEEE conference on Industrial Electronics and Applications

作者： Huang, Chi-Wu Chiang, Che-Hao Yen, Chien-Lun Chen, Yi-Cheng Chang, Kuo-Huang Chang, Chi-Jeng Natl Taiwan Normal Univ Dept Ind Educ Taipei Taiwan Natl Taiwan Normal Univ Inst Appl Elect Engn Taipei Taiwan

ISBN: (纸本)9781424450466

This paper presents an application of AES (Advanced Encryption Standard) operations in image encryption and decryption. The encrypted cipher images always display the uniformly distributed RGB pixels. It looks like the noise of TV without signals. However, in some cases the ECB mode operation may appear a kind of pattern in the area related to the portion of the original image having the same color. The reason for the pattern generation and the four operation modes of CBC, CFB, OFB and CTR which have the features to eliminate the patterns are discussed, in terms of the degree of random noise in cipher image as well as the feasibility of parallel operation in cipher blocks for high speed processing.

关键词： AES image processing Entropy ECB CTR

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A Comparative Study on the Performance of the parallel and Distributing Computing Operation in MatLab

A Comparative Study on the Performance of the Parallel and D...

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24th IEEE International conference on Advanced Information Networking and Applications (AINA)

作者： Goryawala, Mohammed Guillen, Magno R. Bhatt, Ruchir Mcgoron, Anthony Adjouadi, Malek Florida Int Univ Dept Biomed Engn 10555 W Flagler StECE 2220 Miami FL 33174 USA Florida Int Univ Dept Elect & Comp Engn Miami FL 33174 USA

ISBN: (纸本)9780769540184

This study describes the performance results on testing MatLab applications using the parallel computing and the distributed computing toolboxes under different platforms with different hardware and operating systems. Each trial was executed keeping the hardware fixed and changing the operating system to obtain unbiased results. To standardize the benchmarking test, Fast Fourier Transform (FFT), discrete cosine transform (DCT), edge detection and matrix multiplication algorithms were executed. The results show that the leveraging of multicore platforms can speed up considerably the processing of images through the use of parallel computing tools in MatLab. Two different system hardware platforms (systems 1 and 2) were used in a series of experiments. Four rounds of experiments were performed benchmarking the FFT algorithm using the parallel tool box, by changing system platform, number of workers, image size and number of images. The results of the ANOVA test suggest that although there is no statistical significance on the factor represented by the operating system (OS) on system 1, the OS plays a significant roll on system 2. Moreover, on both systems there is statistical significance on the factors represented by the number of workers utilized and the number of images processed, yielding more than a 500% performance increase by using 8 MatLab workers on a dual quad-core machine.

关键词： MatLab HPC parallel computing distributed computing performance metrics

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