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BIM in the Construction Industry
BIM in the Construction Industry
Autore Cha Hee Sung
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (414 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato green construction
code checking
mvdXML
semantic technology
SMEs
BIM
construction management system
steel frame construction
safety
path planning
A-Star Searching
evacuation
MEP
logic chain
Industry 4.0
construction industry
building information modeling
cyber-planning-physical system
open BIM
mobile BIM
mobile application
technology acceptance model (TAM)
building information modeling (BIM)
building project
hindrance
factor analysis
structural equation modeling (SEM)
managerial strategies
Singapore
Building Information Modeling
process improvement
construction management
information and communication technologies
Augmented Reality
building design
building performance simulation
energy conservation
fire safety inspection
real-time location system
smartphone
crowdsourcing
clash detection
supervised machine learning
openBIM
information interoperability
standards
software
fire disaster
facility management
lean construction
production planning and control
data-driven construction
concrete formwork
concrete maturity
interoperability
real-time monitoring
fire safety rule
visual language
portable firefighting equipment
Building Information Modeling (BIM)
Industry Foundation Classes (IFC)
partial model extraction
query language
selection set
3D Reconstruction
2D structural drawing
object detection
deep learning
YOLO
log data mining
modeling performance
collaborative environment
behavioral patterns
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557468203321
Cha Hee Sung  
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 electronic resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato eHealth
wearable
monitoring
services
integration
IoT
Telemedicine
wearable sensors
multivariate analysis
longitudinal study
functional decline
exercise intervention
accidental falls
fall detection
real-world
signal analysis
performance measures
non-wearable sensors
accelerometers
cameras
machine learning
smart textiles
healthcare
talking detection
activity recognition and monitoring
patient health and state monitoring
wearable sensing
orientation-invariant sensing
motion sensors
accelerometer
gyroscope
magnetometer
pattern classification
artificial intelligence
supervised machine learning
predictive analytics
hemodialysis
non-contact sensor
heart rate
respiration rate
heart rate variability
time-domain features
frequency-domain features
principal component analysis
behaviour analysis
classifier efficiency
personal risk detection
one-class classification
actigraphy
encoding
data compression
denoising
edge computing
signal processing
wearables
activity monitoring
citizen science
cluster analysis
physical activity
sedentary behavior
walking
energy expenditure
wearable device
impedance pneumography
neural network
mechanocardiogram (MCG)
smart clothes
heart failure (HF)
left ventricular ejection fraction (LVEF)
technology acceptance model (TAM)
physical activity classification
free-living
GENEactiv accelerometer
Gaussian mixture model
hidden Markov model
wavelets
skill assessment
deep learning
LSTM
state space model
probabilistic inference
latent features
human activity recognition
MIMU
genetic algorithm
feature selection
classifier optimization
bispectrum
entropy
feature extraction
heat stroke
filtering algorithm
physiological parameters
exercise experiment
biomedical signal processing
wearable biomedical sensors
wireless sensor network
respiratory monitoring
optoelectronic plethysmography
biofeedback
biomedical technology
exercise therapy
orthopedics
mobile health
qualitative
human factors
inertial measurement unit
disease prevention
occupational healthcare
P-Ergonomics
precision ergonomics
musculoskeletal disorders
wellbeing at work
electrocardiogram
conductive gels
noncontact electrode
myocardial ischemia
pacemaker
ventricular premature contraction
upper extremity
motion
action research arm test
activities of daily living
IoT wearable monitor
health
posture analysis
spinal posture
wearable sensor
embedded system
recurrent neural networks
physical workload
wearable systems for healthcare
machine learning for real-time applications
actigraph
body worn sensors
clothing sensors
cross correlation analysis
healthcare movement sensing
wearable devices
calibration
inertial measurement units
human movement
physical activity type
real-life
GPS
GIS
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
Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
Autore Fritzen Felix
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (254 p.)
Soggetto non controllato supervised machine learning
proper orthogonal decomposition (POD)
PGD compression
stabilization
nonlinear reduced order model
gappy POD
symplectic model order reduction
neural network
snapshot proper orthogonal decomposition
3D reconstruction
microstructure property linkage
nonlinear material behaviour
proper orthogonal decomposition
reduced basis
ECSW
geometric nonlinearity
POD
model order reduction
elasto-viscoplasticity
sampling
surrogate modeling
model reduction
enhanced POD
archive
modal analysis
low-rank approximation
computational homogenization
artificial neural networks
unsupervised machine learning
large strain
reduced-order model
proper generalised decomposition (PGD)
a priori enrichment
elastoviscoplastic behavior
error indicator
computational homogenisation
empirical cubature method
nonlinear structural mechanics
reduced integration domain
model order reduction (MOR)
structure preservation of symplecticity
heterogeneous data
reduced order modeling (ROM)
parameter-dependent model
data science
Hencky strain
dynamic extrapolation
tensor-train decomposition
hyper-reduction
empirical cubature
randomised SVD
machine learning
inverse problem plasticity
proper symplectic decomposition (PSD)
finite deformation
Hamiltonian system
DEIM
GNAT
ISBN 3-03921-410-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367759403321
Fritzen Felix  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Numerical Modeling in Civil and Mining Geotechnical Engineering
Numerical Modeling in Civil and Mining Geotechnical Engineering
Autore Li Li
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (300 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato near-surface thick deposit
surface subsidence
numerical simulation
unmanned aerial survey
accurate model
railway ballast fouling
ballast degradation
micro-mechanical parameters
shear strength
large diameter bored pile
hyperparameters
supervised machine learning
finite element method
parametric study
load transfer
failure mechanism
geothermal heat exchangers
permafrost
thaw settlement
sustainability
embedded beam elements
finite element
mesh sensitivity
soil-structure interaction
deep foundation
3D modelling
fluid fine tailings
dewatering
modelling
seasonal weathering
freeze-thaw
evaporation
mining backfill
compressibility
constitutive models
numerical modeling
plasticity
critical state soil model
modified Cam Clay model
model normalization
precomputation
incompatibility
rock
plastic deformation
goaf-side entry
stability of surrounding rock
pillar size optimization
confined water
paste filling mining
filling step
advancing distance
floor failure
tailings dam
impacting force
kinetic energy
smoothed particle hydrodynamics (SPH)
3D nonlinear yield criterion
elastoplastic model
circular opening
backfill
FLAC3D
pore water pressure
hydraulic conductivity
alternative method
numerical analyses
unsaturated soil
ISBN 3-0365-5442-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674391503321
Li Li  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearable Sensors Applied in Movement Analysis
Wearable Sensors Applied in Movement Analysis
Autore Buisseret Fabien
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (154 p.)
Soggetto topico Medical equipment & techniques
Soggetto non controllato inertial measurement unit
movement analysis
long-track speed skating
validity
IMU
principal component analysis
wearable
scoring
carving
balance assessment
data augmentation
gated recurrent unit
human activity recognition
one-dimensional convolutional neural network
intermittent claudication
vascular rehabilitation
6 min walking test
functional walking
TUG
kinematics
fall risk
logistic regression
elderly
inertial sensor
artificial intelligence
supervised machine learning
head rotation test
neck pain
cerebral palsy
dystonia
choreoathetosis
machine learning
home-based
wearable device
MLP
gesture recognition
flex sensor
model search
neural network
inertial measurement unit-IMU
movement complexity
sample entropy
trunk flexion
low back pain
lifting technique
camera system
ward clustering method
K-means clustering method
ensemble clustering method
Bayesian neural network
pain self-efficacy questionnaire
ISBN 3-0365-5859-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637794103321
Buisseret Fabien  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui