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Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber-Physical Systems
Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber-Physical Systems
Autore Törngren Martin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (232 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato component-based software engineering
mode
mode-switch
complexity
cyber-physical systems
systems engineering
uncertainty
microgrid
distributed design
self-similar architecture
plug-n-play
distributed control
distribution network
field test
autonomous cyber-physical systems
resilience
ethics
nano-bio-info-cogno technologies
smart cyber-physical systems
self-generated intelligence
ampliative reasoning mechanism
procedural abduction
data-driven system control
run-time acquired data
computational functions
self-adaptation capability
human/socially-centered applications
embedded systems
software component
component-based development
CBD
GPU
GPU component
allocation
component allocation
architecture layer
time-triggered system
real-time
adaptation
scheduling
multi-core
real-time systems
Fixed-Priority Preemptive Scheduling (FPPS)
mixed-criticality systems
Cyber Physical Systems
Reactive Systems
Model-Based Design
Embedded Systems
Automatic Code Generation
IDE
Internet of Things
model testing
mutation testing
energy consumption
EAST-ADL
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557582003321
Törngren Martin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data-Intensive Computing in Smart Microgrids
Data-Intensive Computing in Smart Microgrids
Autore Herodotou Herodotos
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (238 p.)
Soggetto topico Technology: general issues
Soggetto non controllato electricity load forecasting
smart grid
feature selection
Extreme Learning Machine
Genetic Algorithm
Support Vector Machine
Grid Search
AMI
TL
SG
NB-PLC
fog computing
green community
resource allocation
processing time
response time
green data center
microgrid
renewable energy
energy trade contract
real time power management
load forecasting
optimization techniques
deep learning
big data analytics
electricity theft detection
smart grids
electricity consumption
electricity thefts
smart meter
imbalanced data
data-intensive smart application
cloud computing
real-time systems
multi-objective energy optimization
renewable energy sources
wind
photovoltaic
demand response programs
energy management
battery energy storage systems
demand response
scheduling
automatic generation control
single/multi-area power system
intelligent control methods
virtual inertial control
soft computing control methods
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557603203321
Herodotou Herodotos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Image Processing Using FPGAs
Image Processing Using FPGAs
Autore Bailey Donald
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (204 p.)
Soggetto non controllato nuclei detection
System-on-Chip
FPGA
K-Means
hardware acceleration
image analysis
perceptual coding
line buffer
heterogeneous computing
window filters
processor architectures
hardware accelerators
stream processing
embedded systems
image processing pipeline
image processing
generalized Laplacian of Gaussian filter
background estimation
real-time systems
FPGA implementation
hardware architecture
compression
image borders
memory
zig-zag scan
histopathology
just-noticeable difference (JND)
memory management
downsampling
image segmentation
feature extraction
design
mean Shift clustering
high-throughput
segmentation
streaming architecture
power
D-SWIM
hardware/software co-design
high-level synthesis
contrast masking
texture detection
pipeline
field programmable gate array (FPGA)
JPEG-LS
low-latency
connected components analysis
luminance masking
field programmable gate arrays (FPGA)
ISBN 3-03897-919-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346693003321
Bailey Donald  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Vehicles
Intelligent Vehicles
Autore Fernández-Llorca David
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (752 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato tracking-by-detection
multi-vehicle tracking
Siamese network
data association
Markov decision process
driving behavior
real-time monitoring
driver distraction
mobile application
portable system
simulation test
dynamic driving behavior
traffic scene augmentation
corridor model
IMU
vision
classification networks
Hough transform
lane markings detection
semantic segmentation
transfer learning
autonomous
off-road driving
tire-road forces estimation
slip angle estimation
gauge sensors
fuzzy logic system
load transfer estimation
simulation results
normalization
lateral force empirical model
driver monitor
lane departure
statistical process control
fault detection
sensor fault
signal restoration
intelligent vehicle
autonomous vehicle
kinematic model
visual SLAM
sparse direct method
photometric calibration
corner detection and filtering
loop closure detection
road friction coefficient
tire model
nonlinear observer
self-aligning torque
lateral displacement
Lyapunov method
automatic parking system (APS)
end-to-end parking
reinforcement learning
parking slot tracking
deceleration planning
multi-layer perceptron
smart regenerative braking
electric vehicles
vehicle speed prediction
driver behavior modeling
electric vehicle control
driver characteristics online learning
objects’ edge detection
stixel histograms accumulate
point cloud segmentation
autonomous vehicles
scene understanding
occlusion reasoning
road detection
advanced driver assistance system
trajectory prediction
risk assessment
collision warning
connected vehicles
vehicular communications
vulnerable road users
fail-operational systems
fall-back strategy
automated driving
advanced driving assistance systems
illumination
shadow detection
shadow edge
image processing
traffic light detection
intelligent transportation system
lane-changing
merging maneuvers
game theory
decision-making
intelligent vehicles
model predictive controller
automatic train operation
softness factor
fusion velocity
online obtaining
hardware-in-the-loop simulation
driving assistant
driving diagnosis
accident risk maps
driving safety
intelligent driving
virtual test environment
millimeter wave radar
lane-change decision
risk perception
mixed traffic
minimum safe deceleration
automated driving system (ADS)
sensor fusion
multi-lane detection
particle filter
self-driving car
unscented Kalman filter
vehicle model
Monte Carlo localization
millimeter-wave radar
square-root cubature Kalman filter
Sage-Husa algorithm
target tracking
stationary and moving object classification
localization
LiDAR
GNSS
Global Positioning System (GPS)
monte carlo
autonomous driving
robot motion
path planning
piecewise linear approximation
multiple-target path planning
autonomous mobile robot
homotopy based path planning
LiDAR signal processing
sensor and information fusion
advanced driver assistance systems
autonomous racing
high-speed camera
real-time systems
LiDAR odometry
fail-aware
sensors
sensing
percepction
object detection and tracking
scene segmentation
vehicle positioning
fail-x systems
driver behavior modelling
automatic operation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557112303321
Fernández-Llorca David  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Real-Time Sensor Networks and Systems for the Industrial IoT
Real-Time Sensor Networks and Systems for the Industrial IoT
Autore Koulamas Christos
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (242 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato anomaly detection
recurrent neural networks
neural networks compression
LHC
WirelessHART network
delay analysis
real-time systems
multi-channel processing
simulation modeling
transmission scheduling scheme
industrial internet of things
wireless networks
industrial control systems
wireless networked control systems
industrial IoT
security
legacy production machinery
real-time condition monitoring
wireless local area network
IEEE 802.11ah
medium access control
timeliness
Wireless Sensor and Actuator Networks (WSANs)
multipath retransmission
resource scheduling
realtime wireless communication
monitoring and control system
virtualization
controller area network
fieldbus
real-time
container
Industrial Internet of Things (IIoT)
LoRa
WiFi HaLow
Time Slotted Channel Hopping (TSCH)
Narrowband IoT (NB-IoT)
Bluetooth Low Energy (BLE)
BLE Long Range
WirelessHART
ISA100.11a
deep sparse coding
convolutional neural networks
signal analysis
respiratory diseases
medication adherence
hardware design
trust
cryptography
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557745003321
Koulamas Christos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui