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Efficient Algorithms for Large-Scale Image Analysis

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Book Series: Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung ISSN: 18665934 ISBN: 9783866447868 Year: Volume: 4 Pages: XVIII, 201 p. DOI: 10.5445/KSP/1000025309 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
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This work develops highly efficient algorithms for analyzing large images. Applications include object-based change detection and screening. The algorithms are 10-100 times as fast as existing software, sometimes even outperforming FGPA/GPU hardware, because they are designed to suit the computer architecture. This thesis describes the implementation details and the underlying algorithm engineering methodology, so that both may also be applied to other applications.

Steifigkeit axial beanspruchter Vollgewindeschrauben

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Book Series: Karlsruher Berichte zum Ingenieurholzbau / Karlsruher Institut für Technologie, Holzbau und Baukonstruktionen ISSN: 1860093X ISBN: 9783731508267 Year: Volume: 34 Pages: 174 p. DOI: 10.5445/KSP/1000085040 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: General and Civil Engineering
Added to DOAB on : 2019-07-28 18:37:01
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The load-bearing capacity of axially loaded fully threaded screws can be determined correctly according to the acknowledged rules of technology. Whereas the currently available calculation models for the axial stiffness are clearly different from one another. In this research, different test methods for the determination of the axial stiffness were tested and analysed. Based on the test results, a test method was finally identified and calculation models were developed.

Computergestützte Verfahren zur pragmatischen Beurteilung der Tragwiderstände von Brettschichtholz: Zusammenfassung exemplarischer Simulationsstudien

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Book Series: Karlsruher Berichte zum Ingenieurholzbau / Karlsruher Institut für Technologie, Holzbau und Baukonstruktionen ISSN: 1860093X ISBN: 9783731504931 Year: Volume: 31 Pages: 174 p. DOI: 10.5445/KSP/1000052710 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: General and Civil Engineering
Added to DOAB on : 2019-07-30 20:02:00
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This book contains experiences and results of computer simulations in the field of research on glued laminated timber. Literature and references to the corresponding methodical approach are given to facilitate the access to the elementary basics. It also contains constructive explanations and critical annotations on modelling glued laminated timber for bending, tension and compression tests. Finally, the relevance of the simulation results for practical issues is discussed.

Discontinuous Fiber Composites

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ISBN: 9783038974918 / 9783038974925 Year: Pages: 210 DOI: 10.3390/books978-3-03897-492-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Chemistry (General) --- General and Civil Engineering --- Materials
Added to DOAB on : 2019-01-15 12:25:03
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Discontinuous fiber-reinforced polymers have gained importance in the transportation industries due to their outstanding material properties, lower manufacturing costs and superior lightweight characteristics. One of the most attractive attributes of discontinuous fiber reinforced composites is the ease with which they can be manufactured in large numbers, using injection and compression molding processes.Typical processes involving discontinuous fiber reinforced thermoplastic composite materials include injection and compression molding processes as well as extrusion. Furthermore, the automotive and appliance industries also use thermosets reinforced with chopped fibers in the form of sheet molding compound and bulk molding compound, for compression and injection-compression molding processes, respectively.A big disadvantage of discontinuous fiber composites is that the configuration of the reinforcing fibers is significantly changed throughout production process, reflected in the form of fiber attrition, excessive fiber orientation, fiber jamming and fiber matrix separation. This process-induced variation of the microstructural fiber properties within the molded part introduces heterogeneity and anisotropies to the mechanical properties, which can limit the potential of discontinuous fiber reinforced composites for lightweight applications.The main aim of this Special Issue is to collect various investigations focused on the processing of discontinuous fiber reinforced composites and the effect processing has on fiber orientation, fiber length and fiber density distributions throughout the final part. Papers presenting investigations on the effect fiber configurations have on the mechanical properties of the final composite products and materials are welcome in the Special Issue. Researchers who are modeling and simulating processes involving discontinuous fiber composites as well as those performing experimental studies involving these composites are welcomed to submit papers. Authors are encouraged to present new models, constitutive laws and measuring and monitoring techniques to provide a complete framework on these groundbreaking materials and facilitate their use in different engineering applications.

Polymeric Foams

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ISBN: 9783039216321 / 9783039216338 Year: Pages: 322 DOI: 10.3390/books978-3-03921-633-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Chemical Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Advances in nanotechnology have boosted the development of more efficient materials, with emerging sectors (electronics, energy, aerospace, etc.) demanding novel materials to fulfill the complex technical requirements of their products. This is the case of polymeric foams, which may display good structural properties alongside functional characteristics through a complex composition and (micro)structure in which a gas phase is combined with rigid ones, mainly based on nanoparticles, dispersed throughout the polymer matrix. In recent years, there has been an important impulse in the development of nanocomposite foams, extending the concept of nanocomposites to the field of cellular materials. This, alongside developments in new advanced foaming technologies which have allowed the generation of foams with micro, sub-micro, and even nanocellular structures, has extended the applications of more traditional foams in terms of weight reduction, damping, and thermal and/or acoustic insulation to novel possibilities, such as electromagnetic interference (EMI) shielding. This Special Issue, which consists of a total of 22 articles, including one review article written by research groups of experts in the field, considers recent research on novel polymer-based foams in all their aspects: design, composition, processing and fabrication, microstructure, characterization and analysis, applications and service behavior, recycling and reuse, etc.

Keywords

grey relational analysis --- multi-objective particle swarm optimization --- acoustic performances --- Ethylene Propylene Diene Monomer --- polyurethane foam composites --- DOPO --- itaconic acid --- ethyl cellulose --- phenolic foams --- composites --- adjacent façade --- PUR --- energy conservation --- heat transfer --- burning characteristic --- semi-rigid polyurethane foams --- aluminum microfibers --- quasi-static compression tests --- mechanical properties --- energy absorption capability --- foams --- polyamide --- crystalline --- thermal conductivity --- mechanical property --- functional --- biomaterials --- composites --- EMI --- cellulose foam --- polypropylene --- foaming quality --- impact property --- intrinsic toughness --- flame-retardant ABS microcellular foams --- phosphorus flame retardants --- MuCell® injection-molding foaming --- graphene oxide --- rigid polyurethane foam --- thermogravimetric analysis --- activation energies --- extrusion foaming --- super critical CO2 --- lignin --- sound absorption coefficient --- mechanical property --- Pluronic --- surfactants --- foams --- SANS --- multilayers --- epoxy composite foam adhesive --- core–shell rubber --- impact wedge–peel test --- automobile structural adhesives --- flame retardancy --- foams --- phosphorus --- ternary synergistic effect --- polypropylene --- fluoelastomer --- scCO2 foaming --- heterogeneous nucleation --- polypropylene --- cellulose nanofiber --- foam injection molding --- mechanical properties --- polystyrene foams --- 1,3,5-benzene-trisamides --- cell nucleation --- foam extrusion --- foam morphology --- supramolecular additives --- thermal insulation --- compression properties --- piezoelectric --- functional foam --- piezocomposite --- PZT --- expandable microspheres --- permittivity --- polyetherimide foams --- graphene --- multifunctional foams --- ultrasonication --- scCO2 --- electrical conductivity --- polymer waste --- polyurethane foam --- leaching test --- microstructure --- absorbent PMI foam --- metallic tube --- electromagnetic wave absorption --- mechanical properties --- failure mechanism --- polymers --- foams --- shock compression --- equation of state --- epoxy --- foams --- expandable microspheres --- graphene --- nanotubes --- conductivity --- syntactic foams --- n/a

The Future of Hyperspectral Imaging

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ISBN: 9783039218226 / 9783039218233 Year: Pages: 220 DOI: 10.3390/books978-3-03921-823-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General)
Added to DOAB on : 2019-12-09 16:39:37
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hyperspectral imaging --- Raman --- fluorescence --- sorting --- quality control --- black polymers --- PZT --- classification --- machine learning --- alternating direction method of multipliers --- Cramer–Rao lower bound --- forward observation model --- linear mixture model --- maximum likelihood --- multiband image fusion --- total variation --- fingerprints --- blood detection --- age determination --- hyperspectral imaging --- lossless compression --- multitemporal hyperspectral images --- information theoretic analysis --- predictive coding --- hyperspectral imaging --- plant phenotyping --- disease detection --- spectral tracking --- time series --- hyperspectral imaging --- principal component analysis --- oxygen saturation --- wound healing --- diabetic foot ulcer --- Raman spectroscopy --- chemical imaging --- compressive detection --- spatial light modulators (SLM) --- digital micromirror device (DMD) --- digital light processor (DLP) --- optimal binary filters --- Chemometrics --- multivariate data analysis --- compressive sensing --- hyperspectral imaging --- multiplexing system --- liquid crystal --- three-dimensional imaging --- integral imaging --- remote sensing --- point target detection --- CS-MUSI --- hyperspectral --- video --- imaging --- coastal dynamics --- moving vehicle imaging --- bi-directional reflectance distribution function (BRDF) --- hemispherical conical reflectance factor (HCRF) --- stereo imaging --- digital elevation model --- Virginia Coast Reserve Long Term Ecological Research (VCR LTER) --- Hyperspectral imaging --- painting samples --- retouching pigments --- watercolours --- multivariate analysis --- potatoes --- sprouting --- primordial leaf count --- hyperspectral imaging --- spectroscopy --- fusion --- wavelength selection --- PLSR --- interval partial least squares --- deep learning --- hyperspectral imaging --- neural networks --- machine learning --- image processing --- hyperspectral imaging --- medical imaging by HSI --- HSI for biology --- remote sensing --- hyperspectral microscopy --- fluorescence hyperspectral imaging --- Raman hyperspectral imaging --- infrared hyperspectral imaging --- statistical methods for HSI --- hyperspectral data mining and compression --- statistical methods for HSI --- hyperspectral data mining and compression

Processing-Structure-Properties Relationships in Polymers

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ISBN: 9783039218806 / 9783039218813 Year: Pages: 400 DOI: 10.3390/books978-3-03921-881-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-01-07 09:08:26
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This collection of research and review papers is aimed at depicting the state of the art on the possible correlations between processing variables, obtained structure and special properties which this structure induces on the plastic part. The extraordinary capacity of plastics to modify their properties according to a particular structure is evidenced for several transformation processes and for many applications. The final common goal is to take profit of this peculiar capacity of plastics by inducing, through a suitable processing, a specific spatial organization.

Keywords

carbon nanotube --- homogeneous dispersion --- ethylene vinyl acetate --- mechanical performance --- electrical conductivity --- microencapsulation --- melamine polyphosphate --- polyurethane --- composite --- flame retardant --- biodegradable nanofibers --- PLGA --- collagen --- epinephrine --- lidocaine --- polyimide film --- linear coefficient of thermal expansion (CTE) --- copper clad laminate --- structure and properties --- polymorphism --- isotactic polypropylene --- deformation --- phase transitions --- uniaxial compression --- uniaxial tensile deformation --- temperature --- in situ X-ray --- cavitation --- indentation --- Harmonix AFM --- polymer morphology --- mechanical properties --- ultra-high molecular weight polyethylene (UHMWPE) --- microcellular injection molding --- supercritical fluid --- supercritical N2 --- supercritical CO2 --- tissue engineering and regenerative medicine --- bioresorbable polymers --- 3D printing/additive manufacturing --- fused filament fabrication/fused deposition modelling --- degradation --- physicochemical characterization --- polycaprolactone --- layered double hydroxides --- ionic liquids --- PLA --- reactive blending --- biobased films --- graphene --- nanoreinforcement --- curing rate --- epoxy microstructure --- fatigue --- composites --- critical gel --- poly(lactic acid) --- carbon black --- graphite --- polymer blend --- poly(ethylene terephthalate) --- intrinsic viscosity --- polyolefin --- compatibilizer --- isotactic polypropylene --- stress-induced phase transitions --- structural analysis --- X-ray diffraction --- polyoxymethylene (POM) --- octakis[(3-glycidoxypropyl)dimethylsiloxy]octasilsesquioxane (GPOSS) --- composites --- morphology --- mechanical properties --- conductive filler --- orientation --- conductive polymer composites --- foam --- model --- PLLA --- bioresorbable vascular scaffolds --- stretch blow molding --- biaxial elongation --- SAXS --- WAXS --- microfibrillar composites --- crystalline morphology --- crystallinity --- mechanical properties --- crystallisation --- morphology --- nanoparticles --- shear --- flow --- orientation --- poly(?-caprolactone) --- polyvinyl butyral --- hydrophobicity --- contact angle --- polypropylene --- atomic force microscopy --- injection molding --- mold temperature evolution --- polycaprolactone --- ultra-high molecular weight polyethylene --- incremental forming --- SPIF --- XRD --- chain orientation --- temperature sensitive --- gel --- controllable gas permeability --- breathable film --- polymer composite --- processing --- polyamide 6 --- compression molding --- polymorphism --- polyamide 6 --- injection molding --- polymorphism --- humidity --- mechanical properties

Image Processing Using FPGAs

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ISBN: 9783038979180 / 9783038979197 Year: Pages: 204 DOI: 10.3390/books978-3-03897-919-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-06-26 08:44:06
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This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.

Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics

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ISBN: 9783039214099 / 9783039214105 Year: Pages: 254 DOI: 10.3390/books978-3-03921-410-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied fields of application. This book illustrates recent results on coupling machine learning with computational mechanics, particularly for the construction of surrogate models or reduced order models. The articles contained in this compilation were presented at the EUROMECH Colloquium 597, « Reduced Order Modeling in Mechanics of Materials », held in Bad Herrenalb, Germany, from August 28th to August 31th 2018. In this book, Artificial Neural Networks are coupled to physics-based models. The tensor format of simulation data is exploited in surrogate models or for data pruning. Various reduced order models are proposed via machine learning strategies applied to simulation data. Since reduced order models have specific approximation errors, error estimators are also proposed in this book. The proposed numerical examples are very close to engineering problems. The reader would find this book to be a useful reference in identifying progress in machine learning and reduced order modeling for computational mechanics.

Keywords

parameter-dependent model --- surrogate modeling --- tensor-train decomposition --- gappy POD --- heterogeneous data --- elasto-viscoplasticity --- archive --- model reduction --- 3D reconstruction --- inverse problem plasticity --- data science --- model order reduction --- POD --- DEIM --- gappy POD --- GNAT --- ECSW --- empirical cubature --- hyper-reduction --- reduced integration domain --- computational homogenisation --- model order reduction (MOR) --- low-rank approximation --- proper generalised decomposition (PGD) --- PGD compression --- randomised SVD --- nonlinear material behaviour --- machine learning --- artificial neural networks --- computational homogenization --- nonlinear reduced order model --- elastoviscoplastic behavior --- nonlinear structural mechanics --- proper orthogonal decomposition --- empirical cubature method --- error indicator --- symplectic model order reduction --- proper symplectic decomposition (PSD) --- structure preservation of symplecticity --- Hamiltonian system --- reduced order modeling (ROM) --- proper orthogonal decomposition (POD) --- enhanced POD --- a priori enrichment --- modal analysis --- stabilization --- dynamic extrapolation --- computational homogenization --- large strain --- finite deformation --- geometric nonlinearity --- reduced basis --- reduced-order model --- sampling --- Hencky strain --- microstructure property linkage --- unsupervised machine learning --- supervised machine learning --- neural network --- snapshot proper orthogonal decomposition

Refrigeration Systems and Applications 2019

Authors: --- ---
ISBN: 9783039219520 / 9783039219537 Year: Pages: 200 DOI: 10.3390/books978-3-03921-953-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-01-07 09:08:26
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The Special Issue “Refrigeration Systems and Applications” aims to encourage researchers to address the concerns associated with climate change and the sustainability of artificial cold production systems, and to further the transition to the more sustainable technologies and methodologies of tomorrow through theoretical, experimental, and review research on the different applications of refrigeration and associated topics.

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