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The CNN Universal Machine part 1: The architecture 2

The CNN Universal Machine part 1: The architecture

引用

2nd International Workshop on Cellular neural Networks and their Applications, CNNA 1992

作者： Chua, Leon O. Roska, Tamás Electronics Research Laboratory Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA94720 United States Dual and Neural Computing Systems Laboratory in the Computer and Automation Institute of the Hungarian Academy of Sciences Kende-u.13/17 BudapestH-1111 Hungary

ISBN: (纸本)0780308751

Various types of CNNs are summarized and the taxonomy of CNN is given according to the different types of grids, processors, interactions, and modes of operation. Next, the CNN Universal Machine is introduced. The architecture and the key features are outlined. A quite exhaustive list of references completes the paper. © 1992 IEEE.

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Elastic Grid Based Analysis of Motion Field for Object-Motion Detection in Airborne Video Flows

Elastic Grid Based Analysis of Motion Field for Object-Motio...

引用

IEEE International Symposium on Circuits and systems (ISCAS)

作者： Gergely Balazs Soos Csaba Rekeczky Faculty of Information Technology Pázmány Péter Catholic University Budapest Hungary Analogic and Neural Computing Systems Laboratory Computer and Automation Research Institute Budapest Hungary

The visual navigation system of a UAV is a complex embedded device designed to modify the path of the platform depending on objects or events detected on the ground. In the visual field of the autopilot these events could be formalized as specific space-time signatures. Processing all pixels captured by the on-board camera(s) in real time with high frame rate needs huge computational effort that is often unnecessary. An adequate computational strategy would focus on the interesting locations only as in the visual system of various species. In this article we describe an automatic focusing mechanism relying on optical flow calculation for detecting moving objects on the ground, thus efficiently separating the motion of interest from ego-motion of the platform.

关键词： Motion analysis Motion detection Object detection Event detection Unmanned aerial vehicles Navigation Cameras Image motion analysis Animals Floods

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High performance processor array for image processing

High performance processor array for image processing

引用

IEEE International Symposium on Circuits and systems (ISCAS)

作者： Peter Foldesy Akos Zarandy Csaba Rekeczky Tamas Roska Computer and Automation Research Institute of the Hungarian Academy of Sciences Analogic and Neural Computing Laboratory Budapest Hungary Eutecus Inc. Berkeley California USA AnaLogic Computers Budapest Hungary

The ASIC implementation of a digital cellular visual microprocessor architecture is introduced. The processor array is constructed of simple, locally interconnected 8 bit microprocessors, operating in an extended SIMD... 详细信息

关键词： Image processing Sensor arrays Xenon Pixel Silicon Arithmetic High performance computing Analog computers Filters Morphology

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Implementation of Nonlinear Template Runner Emulated Digital CNN-UM on FPGA

Implementation of Nonlinear Template Runner Emulated Digital...

引用

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

作者： Z. Kincses Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute of HAS Budapest Hungary

In the original CNN paradigm template values are defined as constants but several complex tasks can be efficiently solved by using nonlinear weights between the CNN cells. Unfortunately programmable nonlinear weights can not be implemented by using present day analog VLSI technology. In this paper a new emulated digital CNN-UM architecture will be presented which makes it possible to use zero and first order nonlinear templates during emulation. The new architecture is based on the Falcon emulated digital CNN-UM architecture and implemented on FPGAs. The computing precision of the architecture is configurable and the area/speed/accuracy tradeoffs are investigated

关键词： Field programmable gate arrays Cellular neural networks Gray-scale Very large scale integration computer architecture Image processing Detectors Emulation Hamming distance Application software

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Collision prediction via the CNN Universal Machine

Collision prediction via the CNN Universal Machine

引用

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

作者： V. Gal T. Roska Analogical & Neural Computing Systems Laboratory at the computer Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary

We present an analogic CNN algorithm that estimates the time to an impending collision between an approaching object and the observer. Calculation is based on a context insensitive method, which is well known in neuro... 详细信息

关键词： Cellular neural networks Turing machines Animals Equations Geometrical optics Object detection Image edge detection Detectors Pixel Optical arrays

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An embedded CNN-UM Global analogic Programming Unit implementation on FPGA

An embedded CNN-UM Global Analogic Programming Unit implemen...

引用

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

作者： Zsolt Voroshazi Zoltan Nagy Andras Kiss Peter Szolgay Departrnent of Image Processing Neurocomputing University of Pannonia Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute of HAS Budapest Hungary

In this paper the implementation of an embedded GAPU (global analogic programming unit) on the reconfigurable emulated digital CNN-UM architecture will be presented. It has been extended by a Xilinx MicroBlaze soft processor core to take full advantage of the joint computing power of high speed distributed arithmetics and programmability. The basic guidelines are presented considering the design of embedded GAPU with special regards to speed, programming flexibility and minimal additional cost in area

关键词： Field programmable gate arrays computer architecture Cellular neural networks Application software computer networks Electronic mail Distributed computing Arithmetic Costs Concurrent computing

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Acoustic wvave propagation modeling on 3D CNN-UM architecture

Acoustic wvave propagation modeling on 3D CNN-UM architectur...

引用

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

作者： P. Sonkoly P. Kozma Z. Nagy P. Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprém Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute of HAS Budapest Hungary

Solution of partial differential equations (PDE) has long been one of the most important fields of mathematics. Several previous studies proved the effectiveness of the CNN-UM solution for partial differential equations in two dimensions. This paper works with the 3D acoustic wave equation which describes the pressure wave propagation in fluid medium. This three-dimensional PDE can be solved also with 3D CNN-UM and multilayer 2D CNN-UM architecture. Unfortunately the huge number of space-dependent equations and the low computational precision do not make it possible to utilize the huge computing power of the analogue CNN-UM chips so the Falcon emulated digital CNN-UM architecture is used to implement our solution

关键词： Acoustic propagation Partial differential equations Acoustic waves Electronic mail computer networks computer architecture Analog computers Very large scale integration Differential equations Cellular neural networks

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Real-life application case studies using CMOS 0.8 /spl mu/m CNN universal chip: analogic algorithm for motion detection and texture segmentation

Real-life application case studies using CMOS 0.8 /spl mu/m ...

引用

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

作者： P. Foldesy A. Zarandy P. Szolgay T. Sziranyi Analogical and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

Using a 20/spl times/22 CNN Universal Machine chip two application case studies are presented. A new analogic CNN algorithm is shown to detect objects having larger size than a given value on black-and-white image sequences moving in a given range of direction and speed (17 /spl mu/s processing speed could be achieved). An extremely fast texture classification analogic algorithm is given next with approximately 2 /spl mu/s processing speed and with less than 5% misclassification error rate for 4 natural textures in a real-life testing environment.

关键词： computer aided software engineering Cellular neural networks Switches Logic Motion detection Turing machines Testing Prototypes Registers Thyristors

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High speed stand-alone visual decision maker device based on focal plane analogic processor array chip

High speed stand-alone visual decision maker device based on...

引用

IEEE International Workshop on Virtual and Intelligent Measurement systems

作者： L. Torok A. Zarandy T. Roska Analogical & Neural Computing Systems Laboratory at Computer and Automation Research Institute of the Hungarian Academy of Sciences Budapest Hungary

ISBN: (纸本)0780365682

Newly emerging problems require high speed decision making based on visual perception of the environment. A project was set up to construct an intelligent agent like self-contained device that is capable to act in real-time and show collaborative behavior. Giving the hardware basis for decisions to be made a cellular nonlinear network CNN (Chua and Yang, 1988) chip implementation's optical input is used in combination with the cooperative devices' information that is received via binary ports and serial ports. The proposed design is a self-contained compact device that is prepared to operate stand-alone for up to 10 hours running on medium sized batteries while doing measurements, logging and collaborating with its environment via parallel port (for image transfer), RS-232 port (using modbus, profibus, PPP protocols) and binary I/O-s. Intelligent power module, optical isolation, watch dog capability is also considered.

关键词： Collaboration High speed optical techniques Nonlinear optics Decision making Visual perception Intelligent agent Hardware Cellular networks Cellular neural networks Nonlinear optical devices

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Optimal CNN templates for deconvolution

Optimal CNN templates for deconvolution

引用

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

作者： L. Orzo Analogical & Neural Computing Systems Laboratory at the Computer and Automation Research Institute of the Hungarian Academy of Sciences Budapest Hungary

A simplified version of the gradient descent method is introduced as a straightforward way to find optimal 3/spl times/3 CNN templates for the inversion of known point spread functions (PSF). In practical applications the determination of this inverse is necessary to fulfil deconvolution tasks. The proposed method is much faster than the previously applied algorithms (like genetic algorithm) and still, in almost all practically important cases, it is convergent. Moreover, unlike a closed form method, it leads to 3/spl times/3 templates instead of 5/spl times/5 or bigger ones. In several important practical cases the PSF, which can be caused by motion, out of focus or the aberration of the imaging system, can be computed from object positions and from the optical system's parameters. Iterative deconvolution algorithms, which are necessary for volume reconstruction from microscopic image sequences, require considerable computation time. Using CNN-UM chips for these deconvolution tasks, a much higher speed, even real time processing seems to be achievable.

关键词： Cellular neural networks Deconvolution Genetic algorithms Focusing Optical imaging Optical computing Iterative algorithms Image reconstruction Microscopy Image sequences

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