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Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence
Applications in Electronics Pervading Industry, Environment and Society : Sensing Systems and Pervasive Intelligence
Autore Saponara Sergio
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (258 p.)
Soggetto topico Technology: general issues
Soggetto non controllato model-based design
FPGA
HDL code generation
wearable sensors
embedded devices
face recognition
face verification
biometric sensors
deep learning
distillation
convolutional neural networks
spatial transformer network
video coding
discrete cosine transform
directional transform
VLSI
alternative representations to float numbers
posit arithmetic
Deep Neural Networks (DNNs)
neural network activation functions
surface electromyography
event-driven
functional electrical stimulation
embedded system
resampling
interpolating polynomial
polyphase filter
digital circuit design
ASIC
bitmap indexing
processing in memory
memory wall
big data
internet of things
intelligent sensors
autonomous driving
cyber security
HW accelerator
on-chip random number generator (RNG)
SHA2
ASIC standard-cell
machine learning
edge computing
edge analytics
ANN
k-NN
SVM
decision trees
ARM
X-Cube-AI
STM32 Nucleo
rad-hard
PLL (phase-locked loop)
SEE (single event effects)
Spacefibre
TID (total ionization dose)
charge pump
phase/frequency detector
frequency divider
ring oscillator
LC-tank oscillator
SpaceFibre
rad-hard circuits
radiation effects
high-speed data transfer
support attitude
inertial measurement unit
coal mining
unscented Kalman filter
quaternion
gradient descent
research data collection and sharing
connected and automated driving
deployment and field testing
vehicular sensors
impact assessment
knowledge management
collaborative project methodology
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Applications in Electronics Pervading Industry, Environment and Society
Record Nr. UNINA-9910557367703321
Saponara Sergio  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning and Data Mining Applications in Power Systems
Machine Learning and Data Mining Applications in Power Systems
Autore Leonowicz Zbigniew
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (314 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Energy industries & utilities
Soggetto non controllato virtual power plant (VPP)
power quality (PQ)
global index
distributed energy resources (DER)
energy storage systems (ESS)
power systems
long-term assessment
battery energy storage systems (BESS)
smart grids
conducted disturbances
power quality
supraharmonics
2-150 kHz
Power Line Communications (PLC)
intentional emission
non-intentional emission
mains signalling
virtual power plant
data mining
clustering
distributed energy resources
energy storage systems
short term conditions
cluster analysis (CA)
nonlinear loads
harmonics, cancellation, and attenuation of harmonics
waveform distortion
THDi
low-voltage networks
optimization techniques
different batteries
off-grid microgrid
integrated renewable energy system
cluster analysis
K-means
agglomerative
ANFIS
fuzzy logic
induction generator
MPPT
neural network
renewable energy
variable speed WECS
wind energy conversion system
wind energy
frequency estimation
spectrum interpolation
power network disturbances
COVID-19
time-varying reproduction number
social distancing
load profile
demographic characteristic
household energy consumption
demand-side management
energy management
time series
Hidden Markov Model
short-term forecast
sparse signal decomposition
supervised dictionary learning
dictionary impulsion
singular value decomposition
discrete cosine transform
discrete Haar transform
discrete wavelet transform
transient stability assessment
home energy management
binary-coded genetic algorithms
optimal power scheduling
demand response
Data Injection Attack
machine learning
critical infrastructure
smart grid
water treatment plant
power system
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576877503321
Leonowicz Zbigniew  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui