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检索条件"机构=Image processing and Neurocomputing"

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Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model

Toward exploitation of cell multi-processor array in time-co...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Zoltan Nagy Laszlo Kek Zoltan Kincses Andras Kiss Peter Szolgay Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department Information Technology Pázmány Péter Catholic University Budapest Hungary Department Image Processing and Neurocomputing University of Pannonia Veszprem Hungary

Array computers can be useful in the solution of numerical spatiotemporal problems such as partial differential equations (PDEs). IBM has recently introduced the cell broadband engine (Cell BE) Architecture, which contains 8 identical vector processors in an array structure. In the paper the implementation of the 3-D Princeton Ocean Model on the Cell BE is discussed. The area/speed/power tradeoffs of our solution and different hardware implementations are also compared.

关键词： Computer architecture Microprocessors Registers Arrays Mathematical model Random access memory Equations

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A standalone FPGA based emulated-digital CNN-UM system

A standalone FPGA based emulated-digital CNN-UM system

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Zsolt Voroshazi Andras Kiss Zoltan Nagy Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Faculty of Information Technology Pázmáany Péter Catholic University Hungary Cellular Sensory and Wave Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

The Falcon emulated-digital CNN-UM (cellular neural/nonlinear networks universal machine) architecture has been extended by an embedded GAPU (global analogic programming unit) using the flexible Xilinx MicroBlaze soft-core processor to take full advantage of the joint computing power of high-speed distributed arithmetics and programmability. The implemented GAPU provides a stand-alone operation, which is capable of controlling complex sophisticated CNN analogic algorithms similar to various visual microprocessors, such as the ACE4k, ACE16k, and Bi-i vision systems. The quality of the embedded GAPU implementation is demonstrated by analogic algorithms, mainly in which sequences of template operations are required.

关键词： Field programmable gate arrays Computer architecture image processing Mathematical model Organizing Computers Cellular neural networks

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FPGA based emulated-digital CNN-UM implementation with GAPU

FPGA based emulated-digital CNN-UM implementation with GAPU

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Zsolt Voroshazi Andras Kiss Zoltan Nagy Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Faculty of Information Technology Pázmány Péter Catholic University Hungary Cellular Sensory and Wave Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

The paper addresses the issue of implementing a GAPU (global analogic programming unit) on the emulated-digital CNN-UM (cellular neural/nonlinear networks universal machine) architecture. It has been embedded with a flexible Xilinx MicroBlaze soft-core processor to take full advantage of the joint computing power of high-speed arithmetics and programmability. The GAPU implementation accelerates the processing performance of the Falcon architecture by decreasing the I/O communication and it also provides a stand-alone operation, which is capable of controlling complex sophisticated analogic CNN algorithms similar to various visual microprocessors, such as the ACE16k and the Q-Eye in the Bi-i, and eye-RIS cellular vision systems. Our primary aim was to implement an FPGA-based emulated-digital CNN-UM with embedded GAPU for computation intensive, real image-processing tasks.

关键词： Field programmable gate arrays Computer architecture Process control Random access memory Vector processors Mathematical model Computational modeling

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Two-dimensional Compressible Flow Simulation on Emulated Digital CNN-UM

Two-dimensional Compressible Flow Simulation on Emulated Dig...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Sandor Kocsardi Zoltan Nagy Arpad Csik Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Cellular Sensory and Wave Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Mathematics and Computational Sciences Sźechenyi István University Gyor Hungary Faculty of Information Technology Pázmány Péter Catholic University Budapest Hungary

In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. In this field, one of the most exciting areas is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. In this paper a CNN-UM based solver of 2D inviscid, adiabatic, compressible fluids will be presented. The governing equations are solved by using first- and second-order numerical methods. Unfortunately the necessity the coupled multi-layered computational structure with non-linear, space-variant templates does not make it possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution emulated digital CNN-UM implemented on FPGA has been used. Properties of the implemented specialized architecture is examined in terms of area, speed and accuracy.

关键词： Mathematical model Equations Computer architecture Microprocessors Field programmable gate arrays Computational modeling Magnetic cores

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Experimental Result on Supersonic Flow Simulation on Emulated Digital CNN-UM

Experimental Result on Supersonic Flow Simulation on Emulate...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Sandor Kocsardi Zoltan Nagy Arpad Csik Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Cellular Sensory and Wave Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Mathematics and Computational Sciences Széchenyi István University Gyor Hungary Faculty of Information Technology Pázmány Péter Catholic University Budapest Hungary

关键词： Mathematical model Fluids Computer architecture Computational modeling Equations Arrays Atmospheric modeling

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Reducing the foreground aperture problem in mixture of Gaussians based motion detection

Reducing the foreground aperture problem in mixture of Gauss...

引用

14th International Conference on Systems Signals and image processing, IWSSIP 2007 and 6th EURASIP Conference Focused on Speech and image processing, Multimedia Communications and Services, EC-SIPMCS 2007

作者： Utasi, Á. Czúni, L. Department of Image Processing and Neurocomputing University of Pannonia Egyetem u. 10 Veszprém H-8200 Hungary

ISBN: (纸本)9789612480295

Separating the moving image parts from the static background is an important phase in video surveillance applications. The method based on Mixture of Gaussians (MOG) is an often used and robust approach to learn the background automatically and adaptively. Known MOG methods often suffer from the phenomena called the foreground aperture problem, when parts of large moving homogenous regions become part of the background instead of being selected as moving pixels. This article introduces a new method to eliminate this problem.

关键词： Motion analysis

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Strengthening Passwords by Keystroke Dynamics

Strengthening Passwords by Keystroke Dynamics

引用

IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Attila Meszaros Zoltan Banko Laszlo Czuni Department of Image Processing and Neurocomputing University of Pannonia Hungary

This document presents the application of biometrics to strength conventional passwords. We show methods to analyze and compare users' keystroke patterns to be able to verify their identity when entering the password into a computer system. The problem's difficulty arises from the fact that only a very limited amount data is available and that new users can come and others may leave the system meantime. That is we are not allowed to re-evaluate all users' data during the application. We show test results based on 2400 records collected from 25 users of different typing ability.

关键词： Biometrics Authentication Fingerprint recognition Application software Humans Filtering Pattern matching Open systems Conferences Data acquisition

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Reducing the Foreground Aperture Problem in Mixture of Gaussians Based Motion Detection

Reducing the Foreground Aperture Problem in Mixture of Gauss...

引用

International Conference on Systems, Signals and image processing, IWSSIP

作者： A. Utasi L. Czuni Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary

Separating the moving image parts from the static background is an important phase in video surveillance applications. The method based on mixture of Gaussians (MOG) is an often used and robust approach to learn the background automatically and adaptively. Known MOG methods often suffer from the phenomena called the foreground aperture problem, when parts of large moving homogenous regions become part of the background instead of being selected as moving pixels. This article introduces a new method to eliminate this problem.

关键词： Apertures Gaussian processes Motion detection Gaussian distribution Pixel image processing Video surveillance Robustness Application software Process design

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Emulated digital CNN solution for two dimensional compressible flows

Emulated digital CNN solution for two dimensional compressib...

引用

European Conference on Circuit Theory and Design, ECCTD

作者： Sandor Kocsardi Zoltan Nagy Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. Inside that one of the most exciting fields is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. In this paper a CNN-UM based solver of 2D inviscid, isothermal, compressible fluids will be presented. Unfortunately the necessity of the coupled multi-layered computational structure with non-linear, space-variant templates does not make it possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution an emulated digital CNN-UM has been used.

关键词： Cellular neural networks Analog computers Aerospace engineering Chemical engineering Civil engineering Partial differential equations Mathematics Computational modeling Fluid flow Land vehicles

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CNN model on cell multiprocessor array

CNN model on cell multiprocessor array

引用

European Conference on Circuit Theory and Design, ECCTD

作者： Zoltan Nagy Laszlo Kek Zoltan Kincses Peter Szolgay Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department Information Technology Pázmány Péter Catholic University Budapest Hungary Department Image Processing and Neurocomputing University of Pannonia Veszprem Hungary

Array computers can be useful in the solution of numerical spatio-temporal problems such as the state equation of the CNN or partial differential equations (PDE). IBM has recently introduced the cell broadband engine (Cell BE) Architecture which contains 8 identical vector processors in an array structure. In the paper the implementation of CNN simulation kernel on the Cell BE is described. The simulation kernel is optimized, according to the special requirements of the Cell BE and can use linear and also nonlinear (piecewise linear) templates. The area/speed/power tradeoffs of our solution and different hardware implementations are also compared.

关键词： Cellular neural networks Computer architecture Concurrent computing Partial differential equations Engines Kernel Hardware Signal processing Distributed computing Blades

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