Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications
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Các bài báo tiêu biểu
Hysteresis cellular neural networks for solving combinatorial optimization problems
- Trang 539-546
Hysteresis cellular neural networks are one of artificial neural networks which
work effectively against large scale problems. In the previous work, remarkable
methods have never been developed to overcome the defects of hysteresis cellular
neural networks. We then propose a novel architecture for combinatorial
optimization problems to overcome them. Experimental results indicate the
efficiency of...
#Hysteresis #Cellular neural networks #Artificial neural networks #Large-scale systems #Limit-cycles #Piecewise linear techniques #Electronic mail #Cellular networks #Computer architecture #Heuristic algorithms
A study on limit cycles in nearly symmetric cellular neural networks
- Trang 41-46
It is known that symmetric cellular neural networks (CNNs) are completely
stable, i.e., each trajectory converges towards some equilibrium point. The
paper addresses the issue of the loss of CNN complete stability caused by errors
in the implementation of the nominal symmetric interconnections. The main result
is a structural condition which implies the existence of stable limit cycles
generated v...
#Limit-cycles #Intelligent networks #Cellular neural networks #Neurons #Symmetric matrices #Bifurcation #Neural networks #Differential equations #Robust stability #Stationary state
CNN-based 3D thermal modeling of the soil for antipersonnel mine detection
- Trang 307-314
The inherent analogies between the defining equation of CNN and that of heat
transfer are well known. In this paper, we explore the projection of a 3D
thermal model of the soil on this kind of structure. In so doing, reliable and
fast prediction of the thermodynamic behavior of soil subject to known boundary
conditions can be obtained. That way, it is possible to characterize different
kinds of so...
#Cellular neural networks #Landmine detection #Heat transfer #Soil measurements #Equations #Boundary conditions #Nonhomogeneous media #Infrared detectors #Time measurement #Thermal conductivity
Theo dõi nhiều mục tiêu với các máy CNN thế hệ đầy đủ có chương trình lưu trữ Dịch bởi AI
- Trang 299-306
Bài báo này chỉ ra rằng hiệu suất của các hệ thống theo dõi nhiều mục tiêu (MTT)
có thể được cải thiện đáng kể bằng các cảm biến mạng tế bào thích ứng có chương
trình lưu trữ. Động lực chính của công trình hiện tại là định nghĩa một kiến
trúc vi xử lý topo cho MTT với các cảm biến nhúng có khả năng hoạt động theo
cách thời gian thực. Trong các thí nghiệm đang diễn ra, giả định rằng dòng dữ
liệu đầ...
#Cellular neural networks #Turing machines #Sensor arrays #Digital signal processing #Adaptive arrays #Microprocessors #Sensor phenomena and characterization #Target tracking #Sensor systems #Cellular networks
Analyzing multidimensional neural activity via CNN-UM
- Trang 243-250
In this paper we show that CNN-UM is an excellent tool for analyzing time series
of multidimensional binary signals. The developed algorithm is dedicated to
process electrophysiological multi-neuron recordings: our aim is to find
specific multidimensional activity patterns, which may reflect higher order
functional cell-assemblies. The analysis consists of two parts: the occurrences
of different p...
#Multidimensional systems #Neurons #Frequency synchronization #Cellular neural networks #Electrodes #Physics #Neurophysiology #Signal analysis #Time series analysis #Electrophysiology
Implementing grayscale morphological operators with a compact ranked order extractor circuit
- Trang 646-653
Mathematical morphology provides tools for many image processing tasks. In this
paper we discuss the implementation of grayscale morphological operators of
erosion, dilation and reconstruction with a hardware efficient ranked order
filter circuit. By using dedicated hardware for these basic operations a higher
performance of processing more complex functions in a massively parallel
processor array...
#Gray-scale #Circuits #Morphology #Image reconstruction #Filters #Image processing #Hardware #Cellular neural networks #Morphological operations #Data mining
Basic mammalian retinal effects on the prototype complex cell CNN universal machine
- Trang 251-8
The unique possibility for reconstructing the first stage of the visual system
on a programmable silicon chip is described. The developed mammalian retinal
model can be implemented as an analogic algorithm running on a prototype complex
cell cellular neural network processor. It enables the neuro-biological and
vision research communities to study the wisdom of biological visual
transformations de...
#Retina #Prototypes #Cellular neural networks #Turing machines #Visual system #Silicon #Biological system modeling #Design engineering #Biology computing #Neuroscience
Delay-driven contrast enhancement using a cellular neural network with state-dependent delay
- Trang 202-208
We design a cellular neural network model with state-dependent delay to perform
delay-driven contrast enhancement on continuous image sequences, e.g., in moving
image data. We report here some preliminary results of a simulation of this
system using a recently-released algorithm for solving systems of delay
differential equations containing state-dependent delays.
#Cellular neural networks #Delay #Personal digital assistants #Pervasive computing #Object detection #Integrated circuit modeling #Equations #Mathematics #Neural networks #Impedance
Biometric authentication based on perceptual resonance between CNN emergent patterns and humans
- Trang 267-274
This paper investigates a novel application in biometry of the emergent complex
patterns in cellular neural networks. Using a set of patterns generated in the
"unstable" regime of discrete-time generalized cellular automata (GCA), it was
found that human subjects exposed to these patterns would resonate perceptually
with them in a personal manner which qualifies such a resonance as a biometric
"br...
#Biometrics #Authentication #Resonance #Cellular neural networks #Humans #Biological information theory #Electronic mail #Performance evaluation #Costs #Fingerprint recognition
CNN based color constancy algorithm
- Trang 452-8
Color constancy (CC) is a perceptional phenomena in which living species,
capable of color vision, perceive object color apart from the spectral
distribution of light applied to illuminate the objects. The algorithm that can
recover objects' original color and display them as if they were illuminated by
spectrally even (white) light is called the CC algorithm. In contrast to other
solutions our ap...
#Cellular neural networks #Lighting #Robustness #Color #Semiconductor device modeling #Humans #Computer vision #Distributed computing #Cellular networks #Layout