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The CNN Universal Machine part 2: Programmability and applications 2

The CNN Universal Machine part 2: Programmability and applic...

引用

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

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

ISBN: (纸本)0780308751

The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The application potential is reviewed and the biological relevance is analyzed. It turns out that the architecture is optimal not only for silicon implementations, however, many biological information processing organs have the same structure. © 1992 IEEE.

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The CNN Universal Machine part 1: The architecture 2

The CNN Universal Machine part 1: The architecture

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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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Statistical subpixel pattern recognition by histograms

Statistical subpixel pattern recognition by histograms

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International Conference on Pattern Recognition

作者： T. Sziranyi Dual and Neural Computing Systems Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

A new statistical pattern recognition method has been developed for detection, recognition or measurement of patterns which are (much) smaller than the measure of the elementary pixel windows in the image screen. In this measurement the gray-level histogram of the objects examined is compared with the simulated histograms of different (in type or size) possible objects, and the recognition (of shape or measure) is taken on the basis of the comparison. This method does not need ultra-precise movement of the scanning sensors or any additional hardwares. Moreover, the examined pattern should be randomly distributed on the screen, or a random movement of camera (or target or both) is needed. Effect of noises are analyzed, and filtering processes are suggested in the histogram domain. Several examples of different shapes are presented through simulations and experiments.< >

关键词： Pattern recognition Histograms Shape measurement Size measurement Image recognition Pixel Hardware Cameras Noise shaping Filtering

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The CNN universal machine. II. Programmability and applications

The CNN universal machine. II. Programmability and applicati...

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

作者： T. Roska L.O. Chua The Electronics Research Laboratory and Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA USA Dual and Neural Computing Systems Laboratory in the Computer and Automation Institute of the Hungarian Academy of Sciences Budapest Hungary

For pt.I, see ibid., p.1-10 (1992). The programmability (as a stored program) of the CNN universal machine is discussed. It is shown why and in which sense this machine is universal. The analogic type of algorithm is introduced. The application potential is reviewed and the biological relevance is analyzed. It is shown that the architecture is optimal not only for silicon implementations, but also for many biological information processing organs that have the same structure.< >

关键词： Cellular neural networks Turing machines Application software Laboratories neural networks Cloning Storage automation Silicon Information processing Cellular networks

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The CNN universal machine. I. The architecture

The CNN universal machine. I. The architecture

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

作者： L.O. Chua T. Roska The Electronics Research Laboratory and Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA USA Dual and Neural Computing Systems Laboratory in the Computer and Automation Institute of the Hungarian Academy of Sciences Budapest Hungary

Various types of cellular neural networks (CNNs) are summarized, and a taxonomy of CNNs is given according to the different types of grids, processors, interactions, and modes of operation. The CNN universal machine is introduced. The architecture and the key features of the CNN universal machine are outlined. An exhaustive list of references is given.< >

关键词： Cellular neural networks Turing machines computer architecture Grid computing Laboratories Taxonomy Optical computing Chaos Programmable logic arrays automation

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Some novel capabilities of CNN: game of life and examples of multipath algorithms

Some novel capabilities of CNN: game of life and examples of...

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

作者： L.O. Chua T. Roska P.L. Venetianer A. Zarandy Department of Electrical Engineering and Computer Sciences and the Electronics Research Laboratory University of California Berkeley Berkeley CA USA Dual and Neural Computing Systems Laboratory Computer & Automation Institute (MTA SzTAKI) Research Division Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

The authors show that the game of life algorithm, which is equivalent to a Turing machine, can be realized by cellular neural networks (CNNs). They also present a multipath CNN algorithm that demonstrates the capabilities of analog/logic (analogic) software. Complex image processing tasks can be realized by programmable dual computing CNNs. A specific example of blob-counting in a gray-scale image is presented.< >

关键词： Cellular neural networks Turing machines Laboratories Logic Analog computers Biological system modeling automation Games Fading neural networks

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Optical tracking system for automatic guided vehicles using cellular neural networks

Optical tracking system for automatic guided vehicles using ...

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

作者： G. Eross T. Boros A. Kiss A. Radvanyi T. Roska J. Bito J. Vass Centre of Robotics and Automation Tungsram TH Company Limited Budapest Hungary Dual and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary Department of information Technology Faculty of Engineering University of Veszprém Veszprem Hungary

A method for the path-control of automated guided vehicles (AGVs) in computer integrated manufacturing (CIM) systems that combines the flexibility and easy installation of optical methods with the simplicity and robustness of the inductive method is proposed. Using a new computing paradigm, the cellular neural network (CNN), and a related device, the VLSI CNN chip, a very high speed solution that is less expensive than the conventional methods can be achieved. This AGV control complies with the requirements of CIM systems. Further advantages of the proposed system are as follows: fault tolerance and the ability to give instructions along the path, and the use of a simple local control.< >

关键词： Vehicles computer integrated manufacturing Cellular neural networks High speed optical techniques Control systems Integrated optics Optical computing Robustness computer networks Very large scale integration

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Yield enhancement of wafer scale integrated arrays

Yield enhancement of wafer scale integrated arrays

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International Conference on Wafer Scale Integration

作者： J. Narasimhan K. Nakajima C.S. Rim A.T. Dahbura E.E. Department & Systems Research Center University of Maryland College Park MD USA Design Automation Systems Section Semiconductor Technology Division Electronics and Telecommunications Research Institute Daejeon South Korea E.E. Department Systems Research Center & Institute for Advanced Computer Studies University of Maryland College Park MD USA Computing Systems Research Laboratory AT and T Bell Laboratories Inc. Murray Hill NJ USA

In an approach proposed by V.P. Kumar et al. (see Proc. IEEE Int. Conf. on computer-Aided Design, p.226-9, Nov. 1989) for the yield enhancement of programmable gate arrays (PGAs), an initial placement of a circuit is first obtained using a standard technique such as simulated annealing on a defect-free PGA. In the next step this placement is reconfigured so that the circuit is mapped onto the defect-free portion of a defective PGA chip with the same architecture. In the present work, the authors consider the problem of yield enhancement along the same lines as above not only for PGAs but also for wafer-scale-integrated arrays. A heuristic algorithm for reconfiguration based on a graph-theoretic formulation of the problem and a polynomial-time exact algorithm for a special case of the problem are presented. The reconfiguration algorithms are evaluated by comparing the routability and wire length of the reconfigured and initial placements of the circuit.< >

关键词： Electronics packaging Integrated circuit yield Design automation Computational modeling Circuit simulation computer simulation Simulated annealing Heuristic algorithms Polynomials

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Manufacturing systems Control Design 1

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丛书名： Advances in Industrial Control

1000年

作者： Stjepan Bogdan Zdenko Kovačić Frank L. Lewis José Mireles

ISBN: (数字)9781846283345

ISBN: (纸本)9781852339821;9781849969895

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.

关键词： Control and systems Theory Industrial and Production Engineering Manufacturing, Machines, Tools, Processes Simulation and Modeling Linear and Multilinear Algebras, Matrix Theory Industrial Organization

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