Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book presents recent studies covering the aspects of challenges in predictive modelling and applications. Advanced numerical techniques for accurate and efficient real-time prediction and optimal management in coastal and hydraulic engineering are explored. For example, adaptive unstructured meshes are introduced to capture the important dynamics that operate over a range of length scales. Deep learning techniques enable rapid and accurate modelling simulations and pave the way towards both real-time forecasting and overall optimisation control over time, thus improving profitability and managing risk. The use of data assimilation techniques incorporates information from experiments and observations to reduce uncertainties in predictions and improve predictive accuracy. Targeted observation approaches can be used for identifying when, where, and what types of observations would provide the greatest improvement to specific model forecasts at a future time. Such targeted observations are important as they will allow the most effective use of available monitoring resources. The combination of deep learning and data assimilation enables a rapid and accurate response in emergencies. The technologies discussed here can be also used to determine the sensitivity of outputs to various operational conditions in engineering and management, thus providing reliable information to both the public and policy-makers

Research & information: general --- numerical modelling --- unstructured meshes --- finite volume --- North Sea --- salinity --- deep learning --- martinez boundary salinity generator --- Sacramento–San Joaquin Delta --- residence time --- exposure time --- transport time scale --- hyper-tidal estuary --- singular value decomposition --- data assimilation --- ocean models --- observation strategies --- ocean forecasting systems --- ocean Double Gyre --- 4D-Var --- ROMS --- MEOF --- initial ensemble --- ensemble spread --- LETKF --- n/a --- Sacramento-San Joaquin Delta

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book comprises ten articles covering different aspects of power quality issues in microgrids and distributed generation (DG) systems, including 1) Detection and estimation of power quality; 2) Modeling; 3) Harmonic control for DG systems and microgrids; 4) Stability improvements for microgrids. Different power quality phenomena and solution were studied in the included papers, such as harmonics, resonance, frequency deviation, voltage sag, and fluctuation. From a network point of view, some papers studied the harmonic and stability issues in standalone microgrids which are more likely to cause power quality problems. Other papers discussed the power quality problems in microgrids which are weakly interconnected with the main distribution grid. In view of the published papers, there is a trend that increasingly advanced modeling, analysis, and control schemes were applied in the studies. Moreover, the latest works focus not only on single-unit problems but also multiple units or network issues. Although some of the hot topics are not included, this book covers multiple aspects of the current power quality research frontier, and represents a particularly useful reference book for frontier researchers in this field.

power quality improvement --- differential feedforward --- weak grid --- data testing --- distributed generations --- voltage-source converter --- dynamic frequency support --- coordinated control --- grid-connection/island switching process --- virtual damping --- PV generation --- virtual inertia --- autonomous microgrid --- optimal virtual resistor --- multi-inverter system --- standalone microgrid --- unscented Kalman filter --- HVDC --- voltage fluctuation --- solar photovoltaic system --- nonlinear dynamic system --- state estimation --- voltage stability --- diesel generator --- voltage control --- multi-time scale --- sliding mode control --- power system simulation --- stability analysis --- grid impedance --- modeling method --- shunt inverter --- voltage compensation --- 2nd-order lowpass filter --- virtual synchronous generator --- microgrid --- output impedance --- hybrid energy storage --- grid-connected inverter --- parameter identification --- wind farm --- frequency stability --- harmonic suppression --- current source mode (CSM) --- voltage source mode (VSM) --- stand-alone microgrid --- frequency control --- vector control --- power quality control --- grid-tied inverter --- submarine cables --- line commutated converter --- reference current compensation --- power quality --- series inverter --- impedance enhancement

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents fourteen state-of-the-art research papers prepared by research scientists and engineers around the world. They explore the subject of scour related to bridge piers, monopiles, propellers, turbines, weirs, dams, grade-control structures, and pipelines. Their works are based on three different research methodologies, namely experimental, numerical, and field approaches.

Technology: general issues --- seabed scour --- tidal current turbine --- ocean renewable energy --- ship twin-propeller --- jet --- scour --- 3D printing --- visible light communication system --- offshore wind turbine foundation --- early warning monitoring --- life cycle --- cylindrical pier --- local scour --- anti-scour collar --- bridge --- experiment --- scour protection --- scour development --- optimal design --- complex bridge pier --- pier-pier proximity --- temporal evolution --- equilibrium scour pattern --- bed-form migration --- scour predictor evaluation --- propeller jet --- confined propeller scour --- energy spectra --- turbulence --- vortex system --- downward seepage --- pier --- turbulent statistics --- bridge foundations --- supercritical flows --- sediment hydraulics --- two-phase flow --- pipeline --- numerical modeling --- turbulence modeling --- sediment transport --- clear-water scour --- submerged weir --- temporal development --- bed morphology --- bridge scour --- general scour --- grade control --- dredging --- reservoir sedimentation --- replenishment --- cohesive sediment --- horseshoe vortex --- pile scour --- waves and currents --- computational fluid dynamics --- REEF3D --- scour and erosion --- time scale of local scour --- blockage ratio --- research approaches

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents fourteen state-of-the-art research papers prepared by research scientists and engineers around the world. They explore the subject of scour related to bridge piers, monopiles, propellers, turbines, weirs, dams, grade-control structures, and pipelines. Their works are based on three different research methodologies, namely experimental, numerical, and field approaches.

Technology: general issues --- seabed scour --- tidal current turbine --- ocean renewable energy --- ship twin-propeller --- jet --- scour --- 3D printing --- visible light communication system --- offshore wind turbine foundation --- early warning monitoring --- life cycle --- cylindrical pier --- local scour --- anti-scour collar --- bridge --- experiment --- scour protection --- scour development --- optimal design --- complex bridge pier --- pier-pier proximity --- temporal evolution --- equilibrium scour pattern --- bed-form migration --- scour predictor evaluation --- propeller jet --- confined propeller scour --- energy spectra --- turbulence --- vortex system --- downward seepage --- pier --- turbulent statistics --- bridge foundations --- supercritical flows --- sediment hydraulics --- two-phase flow --- pipeline --- numerical modeling --- turbulence modeling --- sediment transport --- clear-water scour --- submerged weir --- temporal development --- bed morphology --- bridge scour --- general scour --- grade control --- dredging --- reservoir sedimentation --- replenishment --- cohesive sediment --- horseshoe vortex --- pile scour --- waves and currents --- computational fluid dynamics --- REEF3D --- scour and erosion --- time scale of local scour --- blockage ratio --- research approaches --- seabed scour --- tidal current turbine --- ocean renewable energy --- ship twin-propeller --- jet --- scour --- 3D printing --- visible light communication system --- offshore wind turbine foundation --- early warning monitoring --- life cycle --- cylindrical pier --- local scour --- anti-scour collar --- bridge --- experiment --- scour protection --- scour development --- optimal design --- complex bridge pier --- pier-pier proximity --- temporal evolution --- equilibrium scour pattern --- bed-form migration --- scour predictor evaluation --- propeller jet --- confined propeller scour --- energy spectra --- turbulence --- vortex system --- downward seepage --- pier --- turbulent statistics --- bridge foundations --- supercritical flows --- sediment hydraulics --- two-phase flow --- pipeline --- numerical modeling --- turbulence modeling --- sediment transport --- clear-water scour --- submerged weir --- temporal development --- bed morphology --- bridge scour --- general scour --- grade control --- dredging --- reservoir sedimentation --- replenishment --- cohesive sediment --- horseshoe vortex --- pile scour --- waves and currents --- computational fluid dynamics --- REEF3D --- scour and erosion --- time scale of local scour --- blockage ratio --- research approaches

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.

History of engineering & technology --- electrocardiogram --- heart rate variability --- multiscale distribution entropy --- RR interval --- short-term inter-beat interval --- Alzheimer disease --- functional near infra-red spectroscopy --- signal complexity --- clock drawing test --- digit span test --- corsi block tapping test --- structural health monitoring --- multi-scale --- composite cross-sample entropy --- PD --- fault diagnosis --- variational mode decomposition --- multi-scale dispersion entropy --- HMSVM --- multiscale entropy --- embodied media --- tele-communication --- humanoid --- prefrontal cortex --- human behavior --- complexity --- page view --- sample entropy --- Wikipedia --- missing values --- physiological data --- medical information --- postural stability index --- stability states --- ensemble empirical mode decomposition --- gait --- Multiscale Permutation Entropy --- ordinal patterns --- estimator variance --- Cramér–Rao Lower Bound --- finite-length signals --- nonlinear dynamics --- multiscale indices --- cardiac risk stratification --- Holter --- long term monitoring --- multifractal spectrum --- multiscale time irreversibility --- predictability --- multiscale analysis --- entropy rate --- memory effect --- financial time series --- entropy --- cardiac autonomic neuropathy --- diabetes --- mental workload --- motif --- multi-scale entropy --- permutation entropy --- HRV --- SVM --- multivariate multiscale dispersion entropy --- multivariate time series --- electroencephalogram --- magnetoencephalogram --- CPD --- EEG --- sleep staging --- tensor decomposition --- preterm neonate --- bearing fault diagnosis --- weak fault --- multi-component signal --- local robust principal component analysis --- multi-scale permutation entropy --- brain complexity --- dynamic functional connectivity --- edge complexity --- fluid intelligence --- node complexity --- resting-state functional magnetic resonance imaging --- aging --- consolidation --- default mode network --- episodic memory --- fMRI --- network complexity --- resting state --- copula density --- dependency structures --- Voronoi decomposition --- ambient temperature --- telemetry --- systolic blood pressure --- pulse interval --- thermoregulation --- vasopressin --- center of pressure --- falls --- postural control --- cross-entropy --- multiscale cross-entropy --- asynchrony --- coupling --- cross-sample entropy --- cross-approximate entropy --- cross-distribution entropy --- cross-fuzzy entropy --- cross-conditional entropy --- eye movement events detection --- nonlinear analysis time series analysis --- approximate entropy --- fuzzy entropy --- multilevel entropy map --- time-scale decomposition --- heart sound --- ICEEMDAN --- RCMDE --- Fisher ratio --- biometric characterization --- multi-scale entropy (MSE) --- vector autoregressive fractionally integrated (VARFI) models --- heart rate variability (HRV) --- systolic arterial pressure (SAP) --- multivariate data --- electrocardiogram --- heart rate variability --- multiscale distribution entropy --- RR interval --- short-term inter-beat interval --- Alzheimer disease --- functional near infra-red spectroscopy --- signal complexity --- clock drawing test --- digit span test --- corsi block tapping test --- structural health monitoring --- multi-scale --- composite cross-sample entropy --- PD --- fault diagnosis --- variational mode decomposition --- multi-scale dispersion entropy --- HMSVM --- multiscale entropy --- embodied media --- tele-communication --- humanoid --- prefrontal cortex --- human behavior --- complexity --- page view --- sample entropy --- Wikipedia --- missing values --- physiological data --- medical information --- postural stability index --- stability states --- ensemble empirical mode decomposition --- gait --- Multiscale Permutation Entropy --- ordinal patterns --- estimator variance --- Cramér–Rao Lower Bound --- finite-length signals --- nonlinear dynamics --- multiscale indices --- cardiac risk stratification --- Holter --- long term monitoring --- multifractal spectrum --- multiscale time irreversibility --- predictability --- multiscale analysis --- entropy rate --- memory effect --- financial time series --- entropy --- cardiac autonomic neuropathy --- diabetes --- mental workload --- motif --- multi-scale entropy --- permutation entropy --- HRV --- SVM --- multivariate multiscale dispersion entropy --- multivariate time series --- electroencephalogram --- magnetoencephalogram --- CPD --- EEG --- sleep staging --- tensor decomposition --- preterm neonate --- bearing fault diagnosis --- weak fault --- multi-component signal --- local robust principal component analysis --- multi-scale permutation entropy --- brain complexity --- dynamic functional connectivity --- edge complexity --- fluid intelligence --- node complexity --- resting-state functional magnetic resonance imaging --- aging --- consolidation --- default mode network --- episodic memory --- fMRI --- network complexity --- resting state --- copula density --- dependency structures --- Voronoi decomposition --- ambient temperature --- telemetry --- systolic blood pressure --- pulse interval --- thermoregulation --- vasopressin --- center of pressure --- falls --- postural control --- cross-entropy --- multiscale cross-entropy --- asynchrony --- coupling --- cross-sample entropy --- cross-approximate entropy --- cross-distribution entropy --- cross-fuzzy entropy --- cross-conditional entropy --- eye movement events detection --- nonlinear analysis time series analysis --- approximate entropy --- fuzzy entropy --- multilevel entropy map --- time-scale decomposition --- heart sound --- ICEEMDAN --- RCMDE --- Fisher ratio --- biometric characterization --- multi-scale entropy (MSE) --- vector autoregressive fractionally integrated (VARFI) models --- heart rate variability (HRV) --- systolic arterial pressure (SAP) --- multivariate data