Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications
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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
CMOS design of cellular APAPs and FPAPAPs: an overview
- Trang 507-511
CNN-based analog visual microprocessors have similarities with the so-called
Single Instruction Multiple Data systems, although they work directly on analog
signal representations obtained through embedded optical sensors and hence do
not need a frontend sensory plane or analog-to-digital converters. The
architecture of these visual microprocessors is illustrated in the paper through
two prototype...
#Integrated circuit interconnections #Microprocessor chips #CMOS technology #Energy consumption #Data systems #Optical sensors #Analog-digital conversion #Prototypes #Timing #Silicon
The design of ratio-memory cellular neural network (RMCNN) with self-feedback template weight for pattern learning and recognition
- Trang 609-615
In this paper, a new type of the ratio-memory cellular neural network (RMCNN)
with spatial-dependent self-feedback A-template weights is proposed and designed
to recognize and classify the black-white image patterns. In the proposed RMCNN,
the combined four-quadrant multiplier and two-quadrant divider with separated
magnitude and sign is used to implement the Hebbian learning function and the
rati...
#Cellular neural networks #Pattern recognition #Capacitors #Leakage current #Neurofeedback #Neural networks #Feedforward neural networks #Image processing #Image recognition #Councils
A CNN based system to blind sources separation of MEG signals
- Trang 195-201
In this paper a cellular neural network (CNN) based system to perform a
real-time, parallel processing of magetoencephalographic data is proposed. In
particular, a nonlinear approach to blind sources separation, instead of the
linear procedure performed by independent component analysis, is introduced.
Moreover, the characteristic spatial distribution of the cells in the CNN system
has been exploi...
#Cellular neural networks #Independent component analysis #Electroencephalography #Heart beat #SQUIDs #Real time systems #Magnetic separation #Scalp #Humans #Hemodynamics
Computational and computer complexity of analogic cellular wave computers
- Trang 323-338
Computational complexity and computer complexity issues are studied in different
architectural settings. Three mathematical machines are considered: the
universal machine on integers (UMZ), the universal machine on reals (UMR) and
the universal machine on flows (UMF). The three machines induce different kinds
of computational difficulties: combinatorial, algebraic, and dynamic,
respectively. After...
#Computational complexity #Turing machines #Physics computing #Optical arrays #CMOS technology #Biology computing #Computer aided instruction #Computer architecture #Optical computing #Cellular neural networks
Improved ARAM for PARIS, an original programmable vision chip
- Trang 347-354
In this paper, a high accuracy analog random access memory (ARAM) for
programmable vision chips is addressed. In the context of a large retina, the
main sources of error are analyzed. Several architectures are presented and
compared. The design of an improved ARAM is detailed.
#Retina #Circuits #Image processing #Analog computers #Parallel processing #CMOS technology #Computer architecture #Silicon #Electronic mail #Parallel machines
Future visual microsensors for mini/micro-UAV applications
- Trang 498-506
New classes of small and micro-sized UAVs, with wingspans on the order of meters
and tens of centimeters, respectively, present interesting challenges to the
field of autonomous flight enabling sensing and control technologies. There is
currently a desire to develop a sensor/control suite that will allow such UAVs
to fly through complex environments, such as in an "urban canyon" or underneath
a fo...
#Microsensors #Nonlinear optics #Optical sensors #Animals #Insects #Image motion analysis #Optical control #Image processing #Machine vision #Software packages
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
Characterizing the spatio-temporal dynamics of the epileptogenic process with nonlinear EEG analyses
- Trang 228-242
In this overview we present our work investigating the spatio-temporal dynamics
of the epileptogenic process using time series analysis techniques derived from
the theory of nonlinear dynamics. Apart from a localization of epileptic foci in
different anatomical locations during the seizure-free interval we discuss
possibilities for seizure prediction, a field that represents one of the
greatest ch...
#Epilepsy #Electroencephalography #Electrodes #Time series analysis #Humans #Drugs #Surgery #Medical treatment #Physics computing #Nuclear physics
Fingerprint image enhancement using CNN Gabor-Type filters
- Trang 377-382
Fingerprint images are usually worsened by various kinds of noise causing
cracks, scratches and bridges in the ridges as well as ink blurs. These cause
matching errors in fingerprint recognition. For effective recognition the
correct ridge pattern is essential, requiring the enhancement of fingerprint
images. A fingerprint pattern consists of ridges. Segment by segment analysis of
the pattern yiel...
#Fingerprint recognition #Image matching #Cellular neural networks #Gabor filters #Image segmentation #Matched filters #Bridges #Ink #Pattern recognition #Image recognition