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Comment 1 on 'Evidence for response contraction bias in side-by-side matching tests' by SA Fotios and C Cheal

Lighting Research and Technology 2007年第2期39卷 167-168页

作者： Houser, K.W. Schanda, J. Department of Architectural Engineering Durham School of Architectural Engineering and Construction University of Nebraska-Lincoln 1110 South 67th Street Omaha NE 68182-0681 United States Department of Image Processing and NeuroComputing University of Pannonia Egyetem u 10 Veszprém 8200 Hungary

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Colour memory

Colour memory

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作者： Bodrogi, Peter Department of Image Processing and Neurocomputing Faculty of Information Technology Pannon University 10 Egyetem St. H-8200 Veszprém Hungary

ISBN: (纸本)0892082623

The aim of this study is to give an overview about the phenomenon of human colour memory: the related concepts, methodology, experimental findings and their interpretation. The concept of "cognitive colour" is defined. The characteristics of short-term and long-term colour memory are discussed, including memory colour shifts. Psycho-physical experimental methods to quantify colour memory are described and some typical memory colour results are briefly presented and interpreted.

关键词： Color

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

Implementation of Nonlinear Template Runner Emulated Digital...

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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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Acoustic wvave propagation modeling on 3D CNN-UM architecture

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

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

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

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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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CNNUM-Based Methods Using Deformable Contours on Smooth Boundaries

CNNUM-Based Methods Using Deformable Contours on Smooth Boun...

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

作者： Tamas Szabo Peter Szolgay Department of Image Processing and Neurocomputing Faculty of Information Technology University of Pannonia Veszprem Hungary Analogical and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In this paper two methods are presented. A CNNUM-based method is shown to quantify the displacement of the normal interhemisperic bilateral symmetry line. The method uses a deformable open contouring technique. Anothe... 详细信息

关键词： Active contours Computed tomography Magnetic resonance Anatomical structure image segmentation Biomedical imaging Electronic mail Computer networks Pixel image resolution

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FPGA Based Implementation of Water Reinjection in Geothermal Structure

FPGA Based Implementation of Water Reinjection in Geothermal...

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

作者： S. Kocsardi Z. Nagy S. Kostianev P. Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Department of Mathematical Geophysics University of Mining and Geology Sofia Bulgaria Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In the area of geophysical and mining engineering the solution of partial differential equations (PDE) 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 geothermal processes which can be used in the everyday energy-management. In this contribution a CNN-UM simulation of water reinjection are presented. Unfortunately the three dimensional - or the coupled multi-layered - computational structure and space-variant templates do 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： Field programmable gate arrays Filtration Cellular neural networks Heat transfer Geophysics computing Electronic mail Partial differential equations Analog computers Water heating Differential equations

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Tillarom: An AJAX based folk song search and retrieval system with gesture interface based on kodály hand

Tillarom: An AJAX based folk song search and retrieval syste...

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1st ACM International Workshop on Human-Centered Multimedia, HCM 2006, co-located with the 2006 ACM International Multimedia Conference

作者： Licsár, Attila Szirányi, Tamás Kovács, László Pataki, Balázs University of Pannonia Department of Image Processing and Neurocomputing Egyetem u. 10 H-8200 Veszprém Hungary Department of Distributed Systems Computer and Automation Research Institute Hungarian Academy of Sciences Lágymányosi u. 11 H-1111 Budapest Hungary Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Lágymányosi u. 11 H-1111 Budapest Hungary

ISBN: (纸本)1595935002

A digital folk song search and retrieval system with a hand gesture based interface is presented. Tillarom is a comprehensive collection of original Hungarian folk songs recorded using different technologies such as phonographs and/or stereo DAT cassettes. This digital archive contains professional quality metadata records as well as MIDI recordings for presenting the different types of clustered folk songs. An AJAX based search and retrieval interface was developed that can be used together with optically recognized Kodály's hand signs to formulate queries through a web browser. The appearance based recognition of hand gestures utilizes contour analysis and SVM based classification. We evaluated the performance of the recognition of hand signs and investigated the main problems of their usage in our system. Copyright 2006 ACM.

关键词： Information systems

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A Real-time Mammalian Retina Model Implementation on FPGA

A Real-time Mammalian Retina Model Implementation on FPGA

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

作者： Zoltan Nagy Zsolt Voroshazi Peter Szolgay Department of Image Processing and Neurocomputing University of Pannonia Veszprem Hungary Analogic and Neural Computing Laboratory Computer and Automation Institute of HAS Kende u. 13-17 H-1111 Budapest Hungary. e-mail: szolgay@sztaki.hu

This paper presents an extended emulated digital retina model to compute two different retina channels in video real-time. The proposed emulated digital implementation of the two-channel retina model is discussed in three different points of view: processing speed, number of physical cells and accuracy. A real-time test environment with camera input and display output is going to be set up to analyze the retina model implementation on emulated digital CNN model by using a 6M gate equivalent FPGA (Field Programmable Gate Array).

关键词： Retina Field programmable gate arrays Cellular neural networks Partial differential equations Cameras Displays Very large scale integration Application software image processing Laboratories

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A CNN Implementation of the Horn & Schunck Motion Estimation Method

A CNN Implementation of the Horn & Schunck Motion Estimation...

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

作者： A. Gacsadi C. Grava V. Tiponut P. Szolgay Electronics Department University of Oradea Oradea Romania Applied Electronics Department Polytechnic University of Timisoara Timisoara Romania Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Image Processing and Neurocomputing Department Veszprem University Veszprem Hungary

In this paper the parallel implementation of the Horn and Schunck motion estimation method in image sequences is presented, by using cellular neural networks (CNN). One of the drawbacks of the classical motion estimation algorithms is the computational time. The goal of the CNN implementation of the Horn & Schunck method is to increase the efficiency of the well-known classical implementation of this method, which is one of the most used algorithms among the motion estimation techniques. The aim is to obtain a smaller computation time and to include such an algorithm in motion compensation algorithms implemented using CNN, in order to obtain homogeneous algorithms for real-time applications in artificial vision or medical imaging

关键词： Cellular neural networks Motion estimation Brightness image motion analysis Biomedical optical imaging Equations image sequences image processing Electronic mail Biomedical imaging

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