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Analysis for Power Quality Monitoring
Analysis for Power Quality Monitoring
Autore González de la Rosa Juan-José
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (210 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato big data
computational solutions for advanced metering infrastructure (AMI)
constant amplitude trend
convolution neural network
data compression
data scalability
DC power quality indices
dense-mesh topology
detection
digital signal processing
distribution networks
dynamic phasor estimation
embedded microcontroller
embedded system
energizing warning
flicker
fourth-order statistics
FPGA
harmonics
higher-order statistics (HOS)
improved principal component analysis
induction machines
IoT
islanding operation
Kalman filters
limited resources hardware
long-term
low computational cost
low cost monitor
low-voltage DC networks
machine learning
modelling
modulation
municipal distribution network
operation analysis
phasor measurement
phasor measurement units
power distribution systems
power event detection
power quality
power quality (PQ)
power quality disturbance
power quality disturbances
power quality monitor
power quality monitoring
power system measurements
PQ indices and thresholds
reconfigurable computing
reliability
RMS voltage estimation
sensor node
sensors and instruments for PQ
signal waveform compression
smart grid
smart grid (SG) applications
smart grids
soft computing
spectral kurtosis
statistical signal processing
voltage fluctuations
voltage ripple
voltage sags
wind-grid distribution
wireless sensor network
ISBN 3-03928-111-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404080603321
González de la Rosa Juan-José  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Assessing Complexity in Physiological Systems through Biomedical Signals Analysis
Assessing Complexity in Physiological Systems through Biomedical Signals Analysis
Autore Castiglioni Paolo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (296 p.)
Soggetto topico Mathematics & science
Research & information: general
Soggetto non controllato aging in human population
Alzheimer's disease
approximate entropy
autonomic nervous function
autonomic nervous system
baroreflex
baroreflex sensitivity (BRS)
biomarker
blood pressure
brain
brain dynamics
brain functional networks
brain signals
cardiovascular system
central autonomic network
cognitive task
complexity
complexity analysis
conditional transfer entropy
correlation dimension
cross-entropy
data compression
detrended fluctuation analysis
digital volume pulse (DVP)
dynamic functional connectivity
ECG
ectopic beat
entropy
event-related de/synchronization
factor analysis
fetal heart rate
fNIRS
fractal dimension
fragmentation
fuzzy entropy
heart rate
heart rate variability
heart rate variability (HRV)
hypobaric hypoxia
information dynamics
information flow
interconnectivity
K-means clustering algorithm
labor
largest Lyapunov exponent
linear prediction
mental arithmetics
motor imagery
multifractality
multiscale
multiscale complexity
multivariate time series analysis
network physiology
nonlinear analysis
partial information decomposition
penalized regression techniques
percussion entropy index (PEI)
photo-plethysmo-graphy (PPG)
posture
preterm
recurrence quantification analysis
refined composite multiscale entropy
rehabilitation medicine
relative consistency
Sampen
sample entropy
self-organized criticality
self-similarity
sEMG
single-channel analysis
State-space models
static functional connectivity
support vector machines classification
time series analysis
vasovagal syncope
vector autoregressive model
vector quantization
Zipf's law
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557601803321
Castiglioni Paolo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare
Autore Syed Abdul Shabbir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato accelerometer
accelerometers
accidental falls
actigraph
actigraphy
action research arm test
activities of daily living
activity monitoring
activity recognition and monitoring
artificial intelligence
behaviour analysis
biofeedback
biomedical signal processing
biomedical technology
bispectrum
body worn sensors
calibration
cameras
citizen science
classifier efficiency
classifier optimization
clothing sensors
cluster analysis
conductive gels
cross correlation analysis
data compression
deep learning
denoising
disease prevention
edge computing
eHealth
electrocardiogram
embedded system
encoding
energy expenditure
entropy
exercise experiment
exercise intervention
exercise therapy
fall detection
feature extraction
feature selection
filtering algorithm
free-living
frequency-domain features
functional decline
Gaussian mixture model
GENEactiv accelerometer
genetic algorithm
GIS
GPS
gyroscope
health
healthcare
healthcare movement sensing
heart failure (HF)
heart rate
heart rate variability
heat stroke
hemodialysis
hidden Markov model
human activity recognition
human factors
human movement
impedance pneumography
inertial measurement unit
inertial measurement units
integration
IoT
IoT wearable monitor
latent features
left ventricular ejection fraction (LVEF)
longitudinal study
LSTM
machine learning
machine learning for real-time applications
magnetometer
mechanocardiogram (MCG)
MIMU
mobile health
monitoring
motion
motion sensors
multivariate analysis
musculoskeletal disorders
myocardial ischemia
n/a
neural network
non-contact sensor
non-wearable sensors
noncontact electrode
occupational healthcare
one-class classification
optoelectronic plethysmography
orientation-invariant sensing
orthopedics
P-Ergonomics
pacemaker
patient health and state monitoring
pattern classification
performance measures
personal risk detection
physical activity
physical activity classification
physical activity type
physical workload
physiological parameters
posture analysis
precision ergonomics
predictive analytics
principal component analysis
probabilistic inference
qualitative
real-life
real-world
recurrent neural networks
respiration rate
respiratory monitoring
sedentary behavior
services
signal analysis
signal processing
skill assessment
smart clothes
smart textiles
spinal posture
state space model
supervised machine learning
talking detection
technology acceptance model (TAM)
Telemedicine
time-domain features
upper extremity
ventricular premature contraction
walking
wavelets
wearable
wearable biomedical sensors
wearable device
wearable devices
wearable sensing
wearable sensor
wearable sensors
wearable systems for healthcare
wearables
wellbeing at work
wireless sensor network
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288603321
Syed Abdul Shabbir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing Data Compression
Remote Sensing Data Compression
Autore Lukin Vladimir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (366 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3D-CALIC
CCSDS
CCSDS 123.0-B-2
compact data structure
complexity
compressed sensing
compression impact
compressive sensing
computational complexity
coupled dictionary
crop classification
DACs
data compression
EBCOT
Elias codes
FAPEC
FPGA
fully convolutional network
GPU
graph filterbanks
graph signal processing
group convolution
HEVC
high bit-depth compression
hyperspectral
hyperspectral image
hyperspectral image coding
hyperspectral images
hyperspectral imaging
hyperspectral scenes
image classification
image quality
integer-to-integer transforms
intra coding
invertible projection
JPEG 2000
JPEG2000
k2-raster
k2-tree
Landsat-8
learned compression
lossless compression
lossy compression
M-CALIC
multispectral
multispectral image compression
multispectral satellite images
near-lossless hyperspectral image compression
neural networks
on board compression
on-board compression
on-board data compression
on-board processing
parallel computing
partitioned extraction
PCA
PForDelta
quadtree
rate-distortion
real time
real-time compression
real-time performance
real-time transmission
remote sensing
remote sensing data compression
Rice codes
semantic segmentation
Sentinel-2
Simple16
Simple9
singular value
spectral image
spectral-spatial feature
synthetic aperture sonar
task-driven learning
tensor decomposition
transform
transform coding
UAV
UAVs
underwater sonar imaging
variational autoencoder
visual quality metrics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557383103321
Lukin Vladimir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui