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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
fixed point arithmetic
biblio
Dynamic Analysis of Digital Chaotic Maps via State-Mapping Networks
Submitted by grigby1 on Fri, 09/04/2020 - 3:16pm
pseudo-random number generator (PRNG)
discrete-time chaotic maps
dynamics degradation
fixed point arithmetic
fixed-point arithmetic
floating point arithmetic
floating-point arithmetic
logistic map
Orbits
digital computer
pseudorandom number generators
Quantization (signal)
random number generation
randomness
SMN
state-mapping network
tent map
black box encryption
encryption
complex network
telecommunication security
Generators
pubcrawl
composability
Metrics
Resiliency
resilience
Cryptography
chaos
Degradation
chaotic communication
Logistics
black box
chaotic dynamics
chaotic map
communication securiy
biblio
Fixed Point Computation by Exponentiating Linear Operators
Submitted by aekwall on Mon, 01/20/2020 - 10:49am
linear operators
three-term control
set theory
Scalability
Resiliency
pubcrawl
piecewise linear techniques
PID controller
multivalued linear map
Linear systems
approximation
linear multivalued operators
Iterative methods
iterated functions
fixed point computation
fixed point arithmetic
exponentiation
control function
arbitrary time
approximation theory
biblio
An Energy-Efficient Stochastic Computational Deep Belief Network
Submitted by grigby1 on Wed, 03/06/2019 - 3:29pm
random number generation
high energy consumption
Human behavior
learning (artificial intelligence)
Metrics
neural nets
Neurons
nonlinearly separable patterns
pattern classification
policy-based governance
pubcrawl
Hardware
random number generators
rectifier linear unit
resilience
Resiliency
RNGs
SC-DBN design
Scalability
Stochastic computing
Stochastic processes
DNNs
belief networks
Biological neural networks
Cognitive Computing
collaboration
composability
computation speed
Correlation
Deep Belief Network
deep neural networks
approximate SC activation unit
effective machine learning models
Electronic mail
energy consumption
energy-efficient deep belief network
energy-efficient stochastic computational deep belief network
fixed point arithmetic
fixed-point implementation
floating point arithmetic
floating-point design
biblio
Minimum energy quantized neural networks
Submitted by grigby1 on Mon, 06/11/2018 - 2:24pm
iso-accuracy depending
automated minimum-energy optimization
BinaryNets
complex arithmetic
fixed point arithmetic
fundamental trade-off
generic hardware platform
higher precision operators
int4 implementations
int8 networks
arbitrary fixed point precision
low precision weights
Minimum Energy
minimum energy QNN
QNN training
Quantized Neural Network
quantized neural networks
wider network architectures
network on chip security
resilience
Resiliency
Scalability
Hardware
neural nets
energy consumption
telecommunication security
Neural networks
Training
deep learning
pubcrawl
Memory management
Metrics
Random access memory
system-on-chip
energy conservation
power aware computing
Mobile communication
approximate computing
