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2008 11th International Workshop on Cellular Neural Networks and Their Applications

14-16 July 2008

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  • 2008 11th international workshop on cellular neural networks and their applications CNNA2008

    Publication Year: 2008, Page(s): c1
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  • 2008 11th international workshop on cellular neural networks and their applications CNNA2008

    Publication Year: 2008, Page(s): i
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  • Proceedings of the 2008 11th international workshop on cellular neural networks and their applications CNNA2008

    Publication Year: 2008, Page(s): c2
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  • 2008 11th international workshop on cellular neural networks and their applications CNNA2008

    Publication Year: 2008, Page(s): ii
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  • 2008 11th international workshop on cellular neural networks and their applications CNNA 2008

    Publication Year: 2008, Page(s): iii
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  • 2008 11th International Workshop on Cellular Neural Networks and their Applications CNNA 2008

    Publication Year: 2008, Page(s):iv - v
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  • CNNA 2008- List of reviewers

    Publication Year: 2008, Page(s): vi
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  • CNNA 2008 - Author index

    Publication Year: 2008, Page(s):vii - viii
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  • Preface

    Publication Year: 2008, Page(s):ix - x
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  • CNNA 2008 - Table of contents

    Publication Year: 2008, Page(s):xi - xvi
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  • A 64x64 cell mixed-mode array processor prototyping system

    Publication Year: 2008, Page(s): 1
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1684 KB) | HTML iconHTML

    This paper introduces a 64x64 cell massively parallel processor array and measurement system. The approach taken in the chip is based on the inclusion of dedicated computing cores, each of which have been designed to implement a specific set of operations very efficiently. The chip can be roughly divided into two grayscale processing cores, one for order statistic filtering and the other for absol... View full abstract»

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  • Demonstration of the APRON processor array simulation software

    Publication Year: 2008, Page(s): 2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1006 KB) | HTML iconHTML

    A software tool for the development, prototyping and emulation of cellular processor array hardware is presented. APRON provides a dasiavirtual processor arraypsila that operates at high speed, that can be extended to form vision systems, multi-layer neural networks, cellular neural networks and neuromorphic arrays. View full abstract»

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  • Robotic gaze and vergence control via disparity energy neurons

    Publication Year: 2008, Page(s): 3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1180 KB) | HTML iconHTML

    We briefly describe a demonstration of an active stereo vision system with gaze and vergence control driven by models of the disparity selective neurons in the mammalian visual cortex. The hardware consists of a stereo camera mounted on a pan-tilt head and three multimap boards. The multimap boards compute multiple cortical maps responding to target locations, orientations and disparities, and gen... View full abstract»

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  • A standalone FPGA based emulated-digital CNN-UM system

    Publication Year: 2008, Page(s): 4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (971 KB) | HTML iconHTML

    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, w... View full abstract»

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  • Experimental result on supersonic flow simulation on emulated digital CNN-UM

    Publication Year: 2008, Page(s): 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (937 KB) | HTML iconHTML

    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. View full abstract»

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  • An advanced real-time, multi-channel emulated-digital retina model implementation on FPGA

    Publication Year: 2008, Page(s): 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1195 KB) | HTML iconHTML

    Various channels of the neuromorphic, multi-layer retina has been successfully modeled by CNN. Our primary aim was to build up a real-time test environment with camera input and display output in order to mimic the behavior of retina model implementation on emulated digital CNN by using a low-cost, moderate sized field-programmable gate array (FPGA) architecture. View full abstract»

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  • A programmable hardware for exploring spatiotemporal waves in real-time

    Publication Year: 2008, Page(s): 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1433 KB) | HTML iconHTML

    In this demo, we will introduce a hardware based on Xilinx XC2VP30 FPGA chip on the Xilinx University Program Virtex-II Pro Development System for studying spatiotemporal waves in real-time. The network which is implemented on the FPGA is a two dimensional reaction-diffusion Cellular Neural Network consists of relaxation oscillators. The network can be programmed to generate spatiotemporal waves. ... View full abstract»

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  • Digital holographic microscopy and CNN based image processing for biohazard detection

    Publication Year: 2008, Page(s): 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1003 KB) | HTML iconHTML

    A new digital holographic microscope is developed and used to detect and identify microscopic organisms. Our demonstration setup shows the efficiency of this new kind of microscopy and provides insight how CNN can be used as an image processing framework to preprocess the gained data. View full abstract»

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  • High-speed visual control of laser welding processes by cellular neural networks (CNN)

    Publication Year: 2008, Page(s): 9
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5135 KB) | HTML iconHTML

    Former investigations showed that many errors in laser welding processes are detectable by analyzing the parameters of the keyhole shape and the melt. By performing this analysis in real time, the welding process can be controlled and errors can be eliminated as they occur. The high dynamics of the process require constant image processing frame rates of about 10 kHz. Therefore, we decided to use ... View full abstract»

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  • Developing system to detect and analyze spatio-temporal tactile events

    Publication Year: 2008, Page(s): 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (757 KB) | HTML iconHTML

    This contribution presents a new developing system to test methods of tactile sensing and processing for dexterous telemanipulation, i.e., telemanipulation that involves imparting forces and motions with the fingertips. View full abstract»

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  • DT-CNN emulator: 3D heat equation solver with applications on the non-destructive soil inspection

    Publication Year: 2008, Page(s):11 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2489 KB) | HTML iconHTML

    Modelling of physical phenomena often involves the use of complex systems of equations whose computational solution has demanding requirements in terms of memory and computing power. Among the different techniques proposed to alleviate this problem, the discrete-time cellular neural network (DT-CNN) has been proved to be a powerful tool as it has the advantage of a feasible hardware implementation... View full abstract»

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  • A DT-CNN data-flow implementation

    Publication Year: 2008, Page(s):17 - 22
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2237 KB) | HTML iconHTML

    Digital implementations of Cellular Neural Networks are studied in terms of their communication requirements. Secure and reliable communication seems to imply close control, which degrades performance. We introduce a mechanism that removes the need for explicit local network control, taking the internal network communication out of the performance equation. This allows handling boundary conditions... View full abstract»

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  • A new approach to emulate CNN on FPGAs for real time video processing

    Publication Year: 2008, Page(s):23 - 28
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2442 KB) | HTML iconHTML

    A new processor architecture implementing the Discrete Time Cellular Neural Networks (DT-CNN) on FPGA is proposed. This architecture intends to process video images real time with 3times3 CNN templates and without the use of an external memory. The absence of the external memory decreases the cost and complexity of the system. The architecture is based on a single pipelined cell which is employed ... View full abstract»

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  • An implementation of 2D locally coupled relaxation oscillators on an FPGA for real-time autowave generation

    Publication Year: 2008, Page(s):29 - 33
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4465 KB) | HTML iconHTML

    This paper introduces a digital implementation of a new simple programmable autowave generator network on a field programmable gate array (FPGA). The network is a two dimensional reaction-diffusion Cellular Neural Network which consists of relaxation oscillators. The introduced implementation successfully simulates 25,600 neurons in real-time with novel Cellular Neural Processing Network architect... View full abstract»

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  • An alternative proof of the universality of the CNN-UM and its practical applications

    Publication Year: 2008, Page(s):34 - 39
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2223 KB) | HTML iconHTML

    In this paper we give a proof of the universality of the Cellular Neural Network - Universal Machine (CNN-UM) alternative to those presented so far. On the one hand, this allows to find a general structure for CNN-UM programs; on the other hand, it helps to formally demonstrate that machine learning techniques can be used to find CNN-UM programs automatically. Finally, we report on two experiments... View full abstract»

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