Search results: Found 10

Listing 1 - 10 of 10
Sort by
Geometry of Submanifolds and Homogeneous Spaces

Authors: ---
ISBN: 9783039280001 9783039280018 Year: Pages: 128 DOI: 10.3390/books978-3-03928-001-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2020-01-30 16:39:46
License:

Loading...
Export citation

Choose an application

Abstract

The present Special Issue of Symmetry is devoted to two important areas of global Riemannian geometry, namely submanifold theory and the geometry of Lie groups and homogeneous spaces. Submanifold theory originated from the classical geometry of curves and surfaces. Homogeneous spaces are manifolds that admit a transitive Lie group action, historically related to F. Klein's Erlangen Program and S. Lie's idea to use continuous symmetries in studying differential equations. In this Special Issue, we provide a collection of papers that not only reflect some of the latest advancements in both areas, but also highlight relations between them and the use of common techniques. Applications to other areas of mathematics are also considered.

Differential Geometry

Author:
ISBN: 9783039218004 9783039218011 Year: Pages: 166 DOI: 10.3390/books978-3-03921-801-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-12-09 16:10:12
License:

Loading...
Export citation

Choose an application

Abstract

The present book contains 14 papers published in the Special Issue “Differential Geometry” of the journal Mathematics. They represent a selection of the 30 submissions. This book covers a variety of both classical and modern topics in differential geometry. We mention properties of both rectifying and affine curves, the geometry of hypersurfaces, angles in Minkowski planes, Euclidean submanifolds, differential operators and harmonic forms on Riemannian manifolds, complex manifolds, contact manifolds (in particular, Sasakian and trans-Sasakian manifolds), curvature invariants, and statistical manifolds and their submanifolds (in particular, Hessian manifolds). We wish to mention that among the authors, there are both well-known geometers and young researchers. The authors are from countries with a tradition in differential geometry: Belgium, China, Greece, Japan, Korea, Poland, Romania, Spain, Turkey, and United States of America. Many of these papers were already cited by other researchers in their articles. This book is useful for specialists in differential geometry, operator theory, physics, and information geometry as well as graduate students in mathematics.

Keywords

Euclidean submanifold --- position vector field --- concurrent vector field --- concircular vector field --- rectifying submanifold --- T-submanifolds --- constant ratio submanifolds --- Ricci soliton --- Kähler–Einstein metrics --- compact complex surfaces --- pinching of the curvatures --- statistical manifolds --- Hessian manifolds --- Hessian sectional curvature --- scalar curvature --- Ricci curvature --- Minkowski plane --- Minkowskian length --- Minkowskian angle --- Minkowskian pseudo-angle --- L2-harmonic forms --- Hodge–Laplacian --- manifold with singularity --- L2-Stokes theorem --- capacity --- k-th generalized Tanaka–Webster connection --- non-flat complex space form --- real hypersurface --- lie derivative --- shape operator --- conical surface --- developable surface --- generalized 1-type Gauss map --- cylindrical hypersurface --- inextensible flow --- lightlike surface --- ruled surface --- Darboux frame --- C-Bochner tensor --- generalized normalized ?-Casorati curvature --- Sasakian manifold --- slant --- invariant --- anti-invariant --- trans-Sasakian 3-manifold --- Reeb flow symmetry --- Ricci operator --- Sasakian statistical manifold --- conjugate connection --- Casorati curvature --- framed rectifying curves --- singular points --- framed helices --- centrodes --- circular rectifying curves --- statistical structure --- affine hypersurface --- affine sphere --- conjugate symmetric statistical structure --- sectional ?-curvature --- complete connection --- symplectic curves --- circular helices --- symplectic curvatures --- Frenet frame

An Invitation to Statistics in Wasserstein Space

Authors: ---
Book Series: SpringerBriefs in Probability and Mathematical Statistics ISBN: 9783030384388 Year: Pages: 147 DOI: 10.1007/978-3-030-38438-8 Language: English
Publisher: Springer Nature
Subject: Mathematics
Added to DOAB on : 2020-05-14 09:30:34
License:

Loading...
Export citation

Choose an application

Abstract

This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Further to reviewing state-of-the-art aspects, it also provides an accessible introduction to the fundamentals of this current topic, as well as an overview that will serve as an invitation and catalyst for further research. Statistics in Wasserstein spaces represents an emerging topic in mathematical statistics, situated at the interface between functional data analysis (where the data are functions, thus lying in infinite dimensional Hilbert space) and non-Euclidean statistics (where the data satisfy nonlinear constraints, thus lying on non-Euclidean manifolds). The Wasserstein space provides the natural mathematical formalism to describe data collections that are best modeled as random measures on Euclidean space (e.g. images and point processes). Such random measures carry the infinite dimensional traits of functional data, but are intrinsically nonlinear due to positivity and integrability restrictions. Indeed, their dominating statistical variation arises through random deformations of an underlying template, a theme that is pursued in depth in this monograph. ; Gives a succinct introduction to necessary mathematical background, focusing on the results useful for statistics from an otherwise vast mathematical literature. Presents an up to date overview of the state of the art, including some original results, and discusses open problems. Suitable for self-study or to be used as a graduate level course text. Open access.

Joseph Fourier 250th Birthday. Modern Fourier Analysis and Fourier Heat Equation in Information Sciences for the XXIst century

Authors: ---
ISBN: 9783038977469 Year: Pages: 260 DOI: 10.3390/books978-3-03897-747-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-04-05 11:17:10
License:

Loading...
Export citation

Choose an application

Abstract

For the 250th birthday of Joseph Fourier, born in 1768 in Auxerre, France, this MDPI Special Issue will explore modern topics related to Fourier Analysis and Heat Equation. Modern developments of Fourier analysis during the 20th century have explored generalizations of Fourier and Fourier–Plancherel formula for non-commutative harmonic analysis, applied to locally-compact, non-Abelian groups. In parallel, the theory of coherent states and wavelets has been generalized over Lie groups. One should add the developments, over the last 30 years, of the applications of harmonic analysis to the description of the fascinating world of aperiodic structures in condensed matter physics. The notions of model sets, introduced by Y. Meyer, and of almost periodic functions, have revealed themselves to be extremely fruitful in this domain of natural sciences. The name of Joseph Fourier is also inseparable from the study of the mathematics of heat. Modern research on heat equations explores the extension of the classical diffusion equation on Riemannian, sub-Riemannian manifolds, and Lie groups. In parallel, in geometric mechanics, Jean-Marie Souriau interpreted the temperature vector of Planck as a space-time vector, obtaining, in this way, a phenomenological model of continuous media, which presents some interesting properties. One last comment concerns the fundamental contributions of Fourier analysis to quantum physics: Quantum mechanics and quantum field theory. The content of this Special Issue will highlight papers exploring non-commutative Fourier harmonic analysis, spectral properties of aperiodic order, the hypoelliptic heat equation, and the relativistic heat equation in the context of Information Theory and Geometric Science of Information.

Entropy in Dynamic Systems

Authors: ---
ISBN: 9783039216161 9783039216178 Year: Pages: 172 DOI: 10.3390/books978-3-03921-617-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
License:

Loading...
Export citation

Choose an application

Abstract

In order to measure and quantify the complex behavior of real-world systems, either novel mathematical approaches or modifications of classical ones are required to precisely predict, monitor, and control complicated chaotic and stochastic processes. Though the term of entropy comes from Greek and emphasizes its analogy to energy, today, it has wandered to different branches of pure and applied sciences and is understood in a rather rough way, with emphasis placed on the transition from regular to chaotic states, stochastic and deterministic disorder, and uniform and non-uniform distribution or decay of diversity. This collection of papers addresses the notion of entropy in a very broad sense. The presented manuscripts follow from different branches of mathematical/physical sciences, natural/social sciences, and engineering-oriented sciences with emphasis placed on the complexity of dynamical systems. Topics like timing chaos and spatiotemporal chaos, bifurcation, synchronization and anti-synchronization, stability, lumped mass and continuous mechanical systems modeling, novel nonlinear phenomena, and resonances are discussed.

Learning to Understand Remote Sensing Images

Author:
ISBN: 9783038976844 9783038976851 Year: Volume: 1 Pages: 426 DOI: 10.3390/books978-3-03897-685-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-12-09 11:49:15
License:

Loading...
Export citation

Choose an application

Abstract

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

Keywords

hyperspectral image classification --- SELF --- SVMs --- Segment-Tree Filtering --- multi-sensor --- change feature analysis --- object-based --- multispectral images --- heterogeneous domain adaptation --- transfer learning --- multi-view canonical correlation analysis ensemble --- semi-supervised learning --- canonical correlation weighted voting --- ensemble learning --- image classification --- spatial attraction model (SAM) --- subpixel mapping (SPM) --- land cover --- mixed pixel --- spatial distribution --- hard classification --- building damage detection --- Fuzzy-GA decision making system --- machine learning techniques --- optical remotely sensed images --- sensitivity analysis --- texture analysis --- quality assessment --- ratio images --- Synthetic Aperture Radar (SAR) --- speckle --- speckle filters --- ice concentration --- SAR imagery --- convolutional neural network --- urban surface water extraction --- threshold stability --- sub-pixel --- linear spectral unmixing --- Landsat imagery --- image registration --- image fusion --- UAV --- metadata --- visible light and infrared integrated camera --- semantic segmentation --- CNN --- deep learning --- ISPRS --- remote sensing --- gate --- hyperspectral image --- sparse and low-rank graph --- tensor --- dimensionality reduction --- semantic labeling --- convolution neural network --- fully convolutional network --- sea-land segmentation --- ship detection --- hyperspectral image --- target detection --- multi-task learning --- sparse representation --- locality information --- remote sensing image correction --- color matching --- optimal transport --- CNN --- very high resolution images --- segmentation --- multi-scale clustering --- vehicle localization --- vehicle classification --- high resolution --- aerial image --- convolutional neural network (CNN) --- class imbalance --- deep learning --- convolutional neural network (CNN) --- fully convolutional network (FCN) --- classification --- remote sensing --- high resolution --- semantic segmentation --- deep convolutional neural networks --- manifold ranking --- single stream optimization --- high resolution image --- feature extraction --- hypergraph learning --- morphological profiles --- hyperedge weight estimation --- semantic labeling --- convolutional neural networks --- remote sensing --- deep learning --- aerial images --- hyperspectral image --- feature extraction --- dimensionality reduction --- optimized kernel minimum noise fraction (OKMNF) --- hyperspectral remote sensing --- endmember extraction --- multi-objective --- particle swarm optimization --- image alignment --- feature matching --- geostationary satellite remote sensing image --- GSHHG database --- Hough transform --- dictionary learning --- road detection --- Radon transform --- geo-referencing --- multi-sensor image matching --- Siamese neural network --- satellite images --- synthetic aperture radar --- inundation mapping --- flood --- optical sensors --- spatiotemporal context learning --- Modest AdaBoost --- HJ-1A/B CCD --- GF-4 PMS --- hyperspectral image classification --- automatic cluster number determination --- adaptive convolutional kernels --- hyperspectral imagery --- 1-dimensional (1-D) --- Convolutional Neural Network (CNN) --- Support Vector Machine (SVM) --- Random Forests (RF) --- machine learning --- deep learning --- TensorFlow --- multi-seasonal --- regional land cover --- saliency analysis --- remote sensing --- ROI detection --- hyperparameter sparse representation --- dictionary learning --- energy distribution optimizing --- multispectral imagery --- nonlinear classification --- kernel method --- dimensionality expansion --- deep convolutional neural networks --- road segmentation --- conditional random fields --- satellite images --- aerial images --- THEOS --- land cover change --- downscaling --- sub-pixel change detection --- machine learning --- MODIS --- Landsat --- very high resolution (VHR) satellite image --- topic modelling --- object-based image analysis --- image segmentation --- unsupervised classification --- multiscale representation --- GeoEye-1 --- wavelet transform --- fuzzy neural network --- remote sensing --- conservation --- urban heat island --- land surface temperature --- climate change --- land use --- land cover --- Landsat --- remote sensing --- SAR image --- despeckling --- dilated convolution --- skip connection --- residual learning --- scene classification --- saliency detection --- deep salient feature --- anti-noise transfer network --- DSFATN --- infrared image --- image registration --- MSER --- phase congruency --- hashing --- remote sensing image retrieval --- online learning --- hyperspectral image --- compressive sensing --- structured sparsity --- tensor sparse decomposition --- tensor low-rank approximation

Learning to Understand Remote Sensing Images

Author:
ISBN: 9783038976981 9783038976998 Year: Volume: 2 Pages: 376 DOI: 10.3390/books978-3-03897-699-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-12-09 11:49:15
License:

Loading...
Export citation

Choose an application

Abstract

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

Keywords

hyperspectral image classification --- SELF --- SVMs --- Segment-Tree Filtering --- multi-sensor --- change feature analysis --- object-based --- multispectral images --- heterogeneous domain adaptation --- transfer learning --- multi-view canonical correlation analysis ensemble --- semi-supervised learning --- canonical correlation weighted voting --- ensemble learning --- image classification --- spatial attraction model (SAM) --- subpixel mapping (SPM) --- land cover --- mixed pixel --- spatial distribution --- hard classification --- building damage detection --- Fuzzy-GA decision making system --- machine learning techniques --- optical remotely sensed images --- sensitivity analysis --- texture analysis --- quality assessment --- ratio images --- Synthetic Aperture Radar (SAR) --- speckle --- speckle filters --- ice concentration --- SAR imagery --- convolutional neural network --- urban surface water extraction --- threshold stability --- sub-pixel --- linear spectral unmixing --- Landsat imagery --- image registration --- image fusion --- UAV --- metadata --- visible light and infrared integrated camera --- semantic segmentation --- CNN --- deep learning --- ISPRS --- remote sensing --- gate --- hyperspectral image --- sparse and low-rank graph --- tensor --- dimensionality reduction --- semantic labeling --- convolution neural network --- fully convolutional network --- sea-land segmentation --- ship detection --- hyperspectral image --- target detection --- multi-task learning --- sparse representation --- locality information --- remote sensing image correction --- color matching --- optimal transport --- CNN --- very high resolution images --- segmentation --- multi-scale clustering --- vehicle localization --- vehicle classification --- high resolution --- aerial image --- convolutional neural network (CNN) --- class imbalance --- deep learning --- convolutional neural network (CNN) --- fully convolutional network (FCN) --- classification --- remote sensing --- high resolution --- semantic segmentation --- deep convolutional neural networks --- manifold ranking --- single stream optimization --- high resolution image --- feature extraction --- hypergraph learning --- morphological profiles --- hyperedge weight estimation --- semantic labeling --- convolutional neural networks --- remote sensing --- deep learning --- aerial images --- hyperspectral image --- feature extraction --- dimensionality reduction --- optimized kernel minimum noise fraction (OKMNF) --- hyperspectral remote sensing --- endmember extraction --- multi-objective --- particle swarm optimization --- image alignment --- feature matching --- geostationary satellite remote sensing image --- GSHHG database --- Hough transform --- dictionary learning --- road detection --- Radon transform --- geo-referencing --- multi-sensor image matching --- Siamese neural network --- satellite images --- synthetic aperture radar --- inundation mapping --- flood --- optical sensors --- spatiotemporal context learning --- Modest AdaBoost --- HJ-1A/B CCD --- GF-4 PMS --- hyperspectral image classification --- automatic cluster number determination --- adaptive convolutional kernels --- hyperspectral imagery --- 1-dimensional (1-D) --- Convolutional Neural Network (CNN) --- Support Vector Machine (SVM) --- Random Forests (RF) --- machine learning --- deep learning --- TensorFlow --- multi-seasonal --- regional land cover --- saliency analysis --- remote sensing --- ROI detection --- hyperparameter sparse representation --- dictionary learning --- energy distribution optimizing --- multispectral imagery --- nonlinear classification --- kernel method --- dimensionality expansion --- deep convolutional neural networks --- road segmentation --- conditional random fields --- satellite images --- aerial images --- THEOS --- land cover change --- downscaling --- sub-pixel change detection --- machine learning --- MODIS --- Landsat --- very high resolution (VHR) satellite image --- topic modelling --- object-based image analysis --- image segmentation --- unsupervised classification --- multiscale representation --- GeoEye-1 --- wavelet transform --- fuzzy neural network --- remote sensing --- conservation --- urban heat island --- land surface temperature --- climate change --- land use --- land cover --- Landsat --- remote sensing --- SAR image --- despeckling --- dilated convolution --- skip connection --- residual learning --- scene classification --- saliency detection --- deep salient feature --- anti-noise transfer network --- DSFATN --- infrared image --- image registration --- MSER --- phase congruency --- hashing --- remote sensing image retrieval --- online learning --- hyperspectral image --- compressive sensing --- structured sparsity --- tensor sparse decomposition --- tensor low-rank approximation

Multi-Sensor Information Fusion

Authors: ---
ISBN: 9783039283026 9783039283033 Year: Pages: 602 DOI: 10.3390/books978-3-03928-303-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
License:

Loading...
Export citation

Choose an application

Abstract

This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Keywords

linear regression --- covariance matrix --- data association --- sensor fusing --- SLAM --- multi-sensor data fusion --- conflicting evidence --- Dempster–Shafer evidence theory --- belief entropy --- similarity measure --- data classification --- fault diagnosis --- Bar-Shalom Campo --- Covariance Projection method --- data fusion --- distributed architecture --- Kalman filter --- linear constraints --- inconsistent data --- user experience evaluation --- user experience measurement --- eye-tracking --- facial expression --- galvanic skin response --- EEG --- interaction tracker --- self-reporting --- user experience platform --- mix-method approach --- image fusion --- multi-focus --- weight maps --- gradient domain --- fast guided filter. --- Dempster-Shafer evidence theory (DST) --- uncertainty measure --- open world --- closed world --- Deng entropy --- extended belief entropy --- sensor data fusion --- orthogonal redundant inertial measurement units --- data fusion architectures --- sensors bias --- fire source localization --- dynamic optimization --- global information --- the Range-Point-Range frame --- the Range-Range-Range frame --- sensor array --- SINS/DVL integrated navigation --- unscented information filter --- square root --- state probability approximation --- most suitable parameter form --- deep learning --- data preprocessing --- Human Activity Recognition (HAR) --- Internet of things (IoT) --- Industry 4.0 --- trajectory reconstruction --- low-cost sensors --- embedded systems --- powered two wheels (PTW) --- safe trajectory --- data fusion --- health management decision --- grey group decision-making --- health reliability degree --- maintenance decision --- sensor system --- least-squares filtering --- least-squares smoothing --- networked systems --- random parameter matrices --- random delays --- packet dropouts --- multi-sensor system --- multi-sensor information fusion --- particle swarm optimization --- sensor data fusion algorithm --- distributed intelligence system --- multi-sensor time series --- deep learning --- machine health monitoring --- time-distributed ConvLSTM model --- spatiotemporal feature learning --- optimal estimate --- unknown inputs --- distributed fusion --- augmented state Kalman filtering (ASKF) --- soft sensor --- coefficient of determination maximization strategy --- expectation maximization (EM) algorithm --- Gaussian mixture model (GMM) --- alumina concentration --- multi-sensor joint calibration --- high-dimensional fusion data (HFD) --- supervoxel --- Gaussian density peak clustering --- sematic segmentation --- multisensor data fusion --- multitarget tracking --- GMPHD --- sonar network --- RFS --- attitude estimation --- Kalman filter --- land vehicle --- magnetic angular rate and gravity (MARG) sensor --- quaternion --- yaw estimation --- network flow theory --- multitarget tracking --- spectral clustering --- A* search algorithm --- RTS smoother --- integer programming --- Surface measurement --- multi-sensor measurement --- surface modelling --- data fusion --- Gaussian process --- multi-sensor network --- observable degree analysis --- information fusion --- nonlinear system --- hybrid adaptive filtering --- weighted fusion estimation --- square-root cubature Kalman filter --- information filter --- surface quality control --- multi-sensor data fusion --- cutting forces --- vibration --- acoustic emission --- signal feature extraction methods --- predictive modeling techniques --- attitude --- orientation --- estimation --- Kalman filter --- quaternion --- manifold --- image registration --- evidential reasoning --- belief functions --- uncertainty --- DoS attack --- industrial cyber-physical system (ICPS) --- security zones --- mimicry security switch strategy --- fixed-point filter --- extended Kalman filter --- nested iterative method --- Steffensen’s iterative method --- convergence condition --- vehicular localization --- target positioning --- high-definition map --- vehicle-to-everything --- intelligent and connected vehicles --- intelligent transport system --- image registration --- non-rigid feature matching --- local structure descriptor --- Gaussian mixture model --- aircraft pilot --- workload --- multi-source data fusion --- fuzzy neural network --- principal component analysis --- parameter learning --- drift compensation --- domain adaption --- feature representations --- electronic nose --- data fusion --- dual gating --- MEMS accelerometer and gyroscope --- cardiac PET --- out-of-sequence --- multi-target tracking --- random finite set --- gaussian mixture probability hypothesis density --- multisensor system --- Gaussian process regression --- Bayesian reasoning method --- Dempster–Shafer evidence theory (DST) --- uncertainty measure --- novel belief entropy --- multi-sensor data fusion --- decision-level sensor fusion --- electronic nose --- subspace alignment --- interference suppression --- transfer --- evidence combination --- time-domain data fusion --- object classification --- uncertainty --- multirotor UAV --- precision landing --- artificial marker --- pose estimation --- sensor fusion --- camera --- LiDAR --- calibration --- plane matching --- ICP --- projection --- data fusion --- data registration --- adaptive distance function --- complex surface measurement --- Gaussian process model --- Dempster–Shafer evidence theory --- conflict measurement --- mutual support degree --- Hellinger distance --- Pignistic vector angle --- multi-sensor data fusion --- multi-environments --- state estimation --- unmanned aerial vehicle

Fluid Flow in Fractured Porous Media

Authors: ---
ISBN: 9783039214235 9783039214242 Year: Volume: 1 Pages: 578 DOI: 10.3390/books978-3-03921-424-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
License:

Loading...
Export citation

Choose an application

Abstract

The fluid flow in fracture porous media plays a significant role in the assessment of deep underground reservoirs, such as through CO2 sequestration, enhanced oil recovery, and geothermal energy development. Many methods have been employed—from laboratory experimentation to theoretical analysis and numerical simulations—and allowed for many useful conclusions. This Special Issue aims to report on the current advances related to this topic. This collection of 58 papers represents a wide variety of topics, including on granite permeability investigation, grouting, coal mining, roadway, and concrete, to name but a few. We sincerely hope that the papers published in this Special Issue will be an invaluable resource for our readers.

Keywords

scanning electron microscope (SEM) images --- permeability --- high temperature --- Darcy’s law --- confining pressures --- chemical grouts --- grain size of sand --- initial water contained in sand --- grouted sand --- macroscopic mechanical behaviors --- microstructure characteristics --- ductile failure --- gas concentration --- gob-side entry retaining (GER) --- limestone roof --- roof-cutting resistance --- roadside backfill body (RBB) --- solid backfill coal mining --- goaf --- water soaked height --- loose gangue backfill material --- deformation --- crushing ratio --- fracture grouting --- cement–silicate grout --- geophysical prospecting --- seepage --- Yellow River Embankment --- contiguous seams --- water-dripping roadway --- roadway deformation --- bolt support --- pervious concrete --- permeability coefficient --- porosity --- pore distribution characteristics --- strength --- soil–structure interface --- internal erosion --- critical hydraulic gradient --- orthogonal tests --- Pseudo Steady-State (PPS) constant --- finite-conductivity fracture --- conductivity-influence function --- normalized conductivity-influence function --- circular closed reservoir --- glutenite --- gravel --- hydraulic fracture --- numerical simulation --- propagation --- glauberite cavern for storing oil &amp --- gas --- thermal-hydrological-chemical interactions --- temperature --- brine concentration --- microstructure --- micro-CT --- damage --- cyclic heating and cooling --- physical and mechanical parameters --- failure mode --- acoustic emission --- anisotropy --- bedding plane orientation --- coal --- gas --- adsorption–desorption --- laboratory experiment --- pore pressure --- hydro-mechanical coupling --- fracture closure --- constitutive model --- effective stress --- debris flow --- dynamic characteristics --- numerical analysis --- debris-resisting barriers --- coal measures sandstone --- creep characteristics --- seepage pressure --- seepage-creep --- microscopic morphology --- Darcy flow --- heterogeneity --- numerical manifold method --- high-order --- refraction law --- hydraulic fracture network --- cohesive element method --- coal seams --- fracture propagation --- discontinuous natural fracture --- secondary fracture --- fault water inrush --- coupled THM model --- nonlinear flow in fractured porous media --- numerical model --- warning levels of fault water inrush --- bentonite-sand mixtures --- differential settlement --- deformation --- hydraulic conductivity --- crack --- geogrid --- enhanced permeability --- deviatoric stress --- mechanical behavior transition --- CH4 seepage --- volumetric strain --- strain-based percolation model --- rock-soil mechanics --- soft filling medium --- segmented grouting --- split grouting --- model experiment --- reinforcement mechanism --- longwall mining --- gob behaviors --- stress relief --- permeability --- gas drainage --- hard and thick magmatic rocks --- orthogonal ratio test --- similar simulation --- fracture --- bed separation --- disaster-causing mechanism --- artificial joint rock --- shear-flow coupled test --- hydraulic aperture --- roughness --- seepage pressure --- mixing --- conservative solute --- fractal --- roughness --- fracture --- transversely isotropic rocks --- failure mechanism --- particle flow modeling --- interface --- n/a --- fractured porous rock mass --- grouting experiment --- visualization system --- flow law --- layered progressive grouting --- sandstone and mudstone particles --- rheological deformation --- segmented rheological model --- rheological limit strain --- rheological test --- water-rock interaction --- dry-wet cycles --- slope stability --- laboratory experiment --- mechanical properties --- Xinjiang --- land reclamation --- management period --- soil particle size --- fluid flow in reclaimed soil --- effluents --- soil properties --- cohesive soils --- contamination --- time variation --- stabilization --- mixer --- viscoelastic fluid --- pore structure --- orthogonal test --- fluid–solid coupling theory --- similar-material --- regression equation --- optimum proportioning --- hydraulic fracturing --- gas fracturing --- oriented perforation --- fracture propagation --- damage mechanics --- fluid viscosity --- CO2 flooding --- supercritical CO2 --- CO2 geological storage --- tight sandstone gas reservoirs --- enhanced gas recovery --- flotation --- coal particle --- collision angle --- initial settlement position --- particle velocity --- adhesion efficiency --- green mining --- paste-like slurry --- XRD --- intelligent torque rheometer --- on-site monitoring --- cyclic wetting-drying --- deterioration --- sandstone --- mudstone --- elastic modulus --- uniaxial compressive strength --- permeability characteristics --- grading broken gangue --- compressive stress --- compression deformation --- mine shaft --- alternate strata --- surrounding rock --- shaft lining --- relief excavation --- consolidation process --- unsaturated soil --- semi-analytical solution --- impeded drainage boundary --- excess pore-pressures --- coalbed methane (CBM) --- soft coal masses --- pore structure --- fractal pore characteristics --- hydraulic fractures --- PPCZ --- multitude parameters --- propagation pattern --- stress interference --- naturally fracture --- filtration effects --- grout penetration --- unified pipe-network method --- two-phase flow --- fractured porous medium --- new cementitious material --- cement-based paste discharge --- XRD --- TG/DTG --- SEM --- MIP --- mechanical behaviors --- rock fracture --- shear-flow coupled test --- constant normal stiffness conditions --- transmissivity --- hydraulic aperture --- water inrush prevention --- backfill mining --- strata movement --- ground pressure --- floor failure depth --- water–rock interaction --- degradation mechanism --- mixed mode fracture resistance --- fracture criteria --- T-stress --- hydro-power --- high-steep slope --- fractured rock --- permeability --- seepage control --- gas-bearing coal --- electrical potential --- charge separation --- gas adsorption --- damage evolution --- Unsaturation --- chloride --- concrete --- coupling model --- numerical calculation --- debris flow --- forecasting --- rainfall-unstable soil coupling mechanism(R-USCM) --- scoops3D --- Jiaohe --- non-aqueous phase liquid --- finite element method --- two-phase flow --- mixed-form formulation --- FLAC --- pore structure --- movable fluid --- tight sandstones --- Ordos Basin --- tectonically deformed coal --- coal and gas outburst --- coal-like material --- mechanical properties --- deformation feature --- adsorption/desorption properties --- minerals --- mechanical properties --- uniaxial compressive strength --- crack distribution characteristics --- discrete element method --- lignite --- nitric acid modification --- pore structure --- surface characteristics --- adsorption performance --- n/a

Fluid Flow in Fractured Porous Media

Authors: ---
ISBN: 9783039214730 9783039214747 Year: Volume: 2 Pages: 492 DOI: 10.3390/books978-3-03921-474-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
License:

Loading...
Export citation

Choose an application

Abstract

The fluid flow in fracture porous media plays a significant role in the assessment of deep underground reservoirs, such as through CO2 sequestration, enhanced oil recovery, and geothermal energy development. Many methods have been employed—from laboratory experimentation to theoretical analysis and numerical simulations—and allowed for many useful conclusions. This Special Issue aims to report on the current advances related to this topic. This collection of 58 papers represents a wide variety of topics, including on granite permeability investigation, grouting, coal mining, roadway, and concrete, to name but a few. We sincerely hope that the papers published in this Special Issue will be an invaluable resource for our readers.

Keywords

scanning electron microscope (SEM) images --- permeability --- high temperature --- Darcy’s law --- confining pressures --- chemical grouts --- grain size of sand --- initial water contained in sand --- grouted sand --- macroscopic mechanical behaviors --- microstructure characteristics --- ductile failure --- gas concentration --- gob-side entry retaining (GER) --- limestone roof --- roof-cutting resistance --- roadside backfill body (RBB) --- solid backfill coal mining --- goaf --- water soaked height --- loose gangue backfill material --- deformation --- crushing ratio --- fracture grouting --- cement–silicate grout --- geophysical prospecting --- seepage --- Yellow River Embankment --- contiguous seams --- water-dripping roadway --- roadway deformation --- bolt support --- pervious concrete --- permeability coefficient --- porosity --- pore distribution characteristics --- strength --- soil–structure interface --- internal erosion --- critical hydraulic gradient --- orthogonal tests --- Pseudo Steady-State (PPS) constant --- finite-conductivity fracture --- conductivity-influence function --- normalized conductivity-influence function --- circular closed reservoir --- glutenite --- gravel --- hydraulic fracture --- numerical simulation --- propagation --- glauberite cavern for storing oil &amp --- gas --- thermal-hydrological-chemical interactions --- temperature --- brine concentration --- microstructure --- micro-CT --- damage --- cyclic heating and cooling --- physical and mechanical parameters --- failure mode --- acoustic emission --- anisotropy --- bedding plane orientation --- coal --- gas --- adsorption–desorption --- laboratory experiment --- pore pressure --- hydro-mechanical coupling --- fracture closure --- constitutive model --- effective stress --- debris flow --- dynamic characteristics --- numerical analysis --- debris-resisting barriers --- coal measures sandstone --- creep characteristics --- seepage pressure --- seepage-creep --- microscopic morphology --- Darcy flow --- heterogeneity --- numerical manifold method --- high-order --- refraction law --- hydraulic fracture network --- cohesive element method --- coal seams --- fracture propagation --- discontinuous natural fracture --- secondary fracture --- fault water inrush --- coupled THM model --- nonlinear flow in fractured porous media --- numerical model --- warning levels of fault water inrush --- bentonite-sand mixtures --- differential settlement --- deformation --- hydraulic conductivity --- crack --- geogrid --- enhanced permeability --- deviatoric stress --- mechanical behavior transition --- CH4 seepage --- volumetric strain --- strain-based percolation model --- rock-soil mechanics --- soft filling medium --- segmented grouting --- split grouting --- model experiment --- reinforcement mechanism --- longwall mining --- gob behaviors --- stress relief --- permeability --- gas drainage --- hard and thick magmatic rocks --- orthogonal ratio test --- similar simulation --- fracture --- bed separation --- disaster-causing mechanism --- artificial joint rock --- shear-flow coupled test --- hydraulic aperture --- roughness --- seepage pressure --- mixing --- conservative solute --- fractal --- roughness --- fracture --- transversely isotropic rocks --- failure mechanism --- particle flow modeling --- interface --- n/a --- fractured porous rock mass --- grouting experiment --- visualization system --- flow law --- layered progressive grouting --- sandstone and mudstone particles --- rheological deformation --- segmented rheological model --- rheological limit strain --- rheological test --- water-rock interaction --- dry-wet cycles --- slope stability --- laboratory experiment --- mechanical properties --- Xinjiang --- land reclamation --- management period --- soil particle size --- fluid flow in reclaimed soil --- effluents --- soil properties --- cohesive soils --- contamination --- time variation --- stabilization --- mixer --- viscoelastic fluid --- pore structure --- orthogonal test --- fluid–solid coupling theory --- similar-material --- regression equation --- optimum proportioning --- hydraulic fracturing --- gas fracturing --- oriented perforation --- fracture propagation --- damage mechanics --- fluid viscosity --- CO2 flooding --- supercritical CO2 --- CO2 geological storage --- tight sandstone gas reservoirs --- enhanced gas recovery --- flotation --- coal particle --- collision angle --- initial settlement position --- particle velocity --- adhesion efficiency --- green mining --- paste-like slurry --- XRD --- intelligent torque rheometer --- on-site monitoring --- cyclic wetting-drying --- deterioration --- sandstone --- mudstone --- elastic modulus --- uniaxial compressive strength --- permeability characteristics --- grading broken gangue --- compressive stress --- compression deformation --- mine shaft --- alternate strata --- surrounding rock --- shaft lining --- relief excavation --- consolidation process --- unsaturated soil --- semi-analytical solution --- impeded drainage boundary --- excess pore-pressures --- coalbed methane (CBM) --- soft coal masses --- pore structure --- fractal pore characteristics --- hydraulic fractures --- PPCZ --- multitude parameters --- propagation pattern --- stress interference --- naturally fracture --- filtration effects --- grout penetration --- unified pipe-network method --- two-phase flow --- fractured porous medium --- new cementitious material --- cement-based paste discharge --- XRD --- TG/DTG --- SEM --- MIP --- mechanical behaviors --- rock fracture --- shear-flow coupled test --- constant normal stiffness conditions --- transmissivity --- hydraulic aperture --- water inrush prevention --- backfill mining --- strata movement --- ground pressure --- floor failure depth --- water–rock interaction --- degradation mechanism --- mixed mode fracture resistance --- fracture criteria --- T-stress --- hydro-power --- high-steep slope --- fractured rock --- permeability --- seepage control --- gas-bearing coal --- electrical potential --- charge separation --- gas adsorption --- damage evolution --- Unsaturation --- chloride --- concrete --- coupling model --- numerical calculation --- debris flow --- forecasting --- rainfall-unstable soil coupling mechanism(R-USCM) --- scoops3D --- Jiaohe --- non-aqueous phase liquid --- finite element method --- two-phase flow --- mixed-form formulation --- FLAC --- pore structure --- movable fluid --- tight sandstones --- Ordos Basin --- tectonically deformed coal --- coal and gas outburst --- coal-like material --- mechanical properties --- deformation feature --- adsorption/desorption properties --- minerals --- mechanical properties --- uniaxial compressive strength --- crack distribution characteristics --- discrete element method --- lignite --- nitric acid modification --- pore structure --- surface characteristics --- adsorption performance --- n/a

Listing 1 - 10 of 10
Sort by
Narrow your search