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FORMING AN INFORMATION TECHNOLOGY DEPARTMENT IN TURBULENT TIMES

IEEE COMMUNICATIONS MAGAZINE 1992年第11期30卷 52-56页

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

The goals, objectives, characteristics, prerequisites, and courses of an information technology curriculum developed at the University of Veszprem in Hungary are discussed. Basic, introductory, and core courses as well as special subjects are listed, and the program schedule of the five years is presented. The place and role of information engineering in a changing world is discussed, including some thoughts on the role of information technology in the general university curricula.< >

关键词： Information technology Laboratories Education Educational technology Automation Europe Mechanical engineering Electrical engineering computing Informatics Solids

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Using cellular neural network to "see" random-dot stereograms 5th

Using cellular neural network to "see" random-dot stereogram...

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5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993

作者： Radványi, András G. Dual and Neural Computing Systems Laboratory Computer & Automation Institute Hungarian Academy of Sciences Bp POB 63 H-1518 Hungary

ISBN: (纸本)9783540572336

The Cellular neural Networks (CNN) providing for efficient analog array processing of images are used for revealing surface features hidden in different types of random-dot stereograms (RDS) coding 3D information in internal correlation. Although originally random-dot stereograms are for probing human stereopsis, they may also find application in engineering practice based on the method proposed for creating stereograms of real objects in optical environment using projector and camera. Also the concept of difference surface and difference stereogram is introduced and used for coding smooth surfaces. © 1993, Springer Verlag. All rights reserved.

关键词： Cellular neural networks

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A two-layer Radon transform cellular neural network

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IEEE Transactions on Circuits and systems II: Analog and Digital Signal Processing 1992年第7期39卷 488-489页

作者： Wu, Chai Wah Chua, Leon O. Roska, Tamas Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA Dual and Neural Computing Systems Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presented. The functionality of this cellular neural network follows from the functionality of the connected com... 详细信息

关键词： Image processing

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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 part 2: Programmability and applications 2

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

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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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A dual CNN model of cyclopean perception and its application potentials in artificial steropsis

A dual CNN model of cyclopean perception and its application...

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

作者： A.G. Radvanyi Dual and Neural Computing Systems Laboratory Computer & Automation Stitute (MTA SZTAKI) Research Divsion Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

Random-dot stereograms coding 3-D information in their internal correlation are used for probing human stereopsis. dual cellular neural net (CNN) algorithms that can reveal 3-D surfaces coded in stereograms are reported. The concept of the difference stereogram is introduced and used for coding smooth surfaces. Its importance is due to the fact that difference stereograms of real objects can be created in an optical environment using a projector and camera.< >

关键词： Cellular neural networks Humans Cameras Application software Laboratories Automation Visual system Retina Testing Image segmentation

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An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates 2

An experimental system for optical detection of layout error...

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

作者： Szolgay, P. Kispál, I. Kozek, T. Dual and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences P.O.B.63 BudapestH-1502 Hungary Department of Information Technology Faculty of Engineering University of Veszprém Egyetem u. 10 VeszprémH-8201 Hungary

ISBN: (纸本)0780308751

Cellular neural networks (CNNs) are considered here as cellular analog programmable multidimensional processing arrays with distributed logic and memory. The interconnecting weights between the neighbouring processing elements are defined by the template *** the paper a new systematic way is presented to find robust templates. Using the new learning algorithm some templates were found for a CNN based layout design rule checking algorithm. The algorithm has been tested in our experimental system with real life examples. A typical design rule checking of a 432×164 pixels area takes 8s computation time on our CNN hardware accelerator board. © 1992 IEEE.

关键词： Cellular neural networks

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Random parameter variation in analog VLSI neural networks for linear image filtering

Random parameter variation in analog VLSI neural networks fo...

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International Joint Conference on neural Networks (IJCNN)

作者： B.E. Shi T. Roska L.O. Chua Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA Dual and Neural and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

This paper introduces an analytic method to determine the sensitivity to random parameter variations of analog VLSI neural network architectures for linear image filtering. The authors compare the robustness of several different circuit architectures for low pass filtering. This method can also determine which components within a particular architecture should specified the most precisely.< >

关键词： Intelligent networks Very large scale integration neural networks Nonlinear filters Circuits Filtering Robustness Low pass filters Computer architecture Cellular neural 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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