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Applications of Finite Element Modeling for Mechanical and Mechatronic Systems
| Applications of Finite Element Modeling for Mechanical and Mechatronic Systems |
| Autore | Krawczuk Marek |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (392 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Abaqus
active periodic structures adaptivity Almen intensity aluminum conductor steel-reinforced cable applied load aramid fiber assessment bell crank bend deformation bias tire biomechanics carbon fiber channel collision modeling contact detection convergence crack detection cut bar method damage damage detection delamination design design of experiment detection disability drill pipe joint driver electro-mechanical systems endogenous fires equilibrated residual method experiment fatigue fracture FEA FEM finite element analysis finite element method finite element modeling finite elements Finite Elements Analysis (FEA) finite volumne method first-order models friction coefficient generative modelling HALE UAV head injury heat lakes hierarchical models high peening coverage hp-adaptivity hpq/hp-approximations hybrid composite inflation analysis injury criteria local behaviors longwall low loading mechanical parameters misalignment natural frequency nondestructive inspection numerical locking numerical modeling numerical simulation NURBS p-enrichment PCHE piezoelectrics quantitative description of peening coverage residual compressive stress resolution reverse engineering roll-to-roll process rubber safety sealing properties sensitivity analysis SFEM shot peening shrinkage single-sided smart materials solid mechanics spontaneous combustion steady-state strain deviation stress stress gradients surface profile swingarm textile cord thermal conductivity thin-layer composite structure three-wheel motorcycle topology optimization torsion springs transition models turbine blade underground coal mine utilization factor ventilation system vibrometer web deformation wind loads |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557596503321 |
Krawczuk Marek
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital heritage reconstruction using super-resolution and inpainting / / Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri
| Digital heritage reconstruction using super-resolution and inpainting / / Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri |
| Autore | Padalkar Milind G. |
| Pubbl/distr/stampa | [San Rafael, California] : , : Morgan & Claypool, , 2017 |
| Descrizione fisica | 1 online resource (170 pages) : illustrations |
| Disciplina | 621.367 |
| Collana | Synthesis lectures on visual computing |
| Soggetto topico |
Image reconstruction
Image processing - Digital techniques Historic sites - Conservation and restoration Statues - Conservation and restoration Inpainting |
| Soggetto non controllato |
super-resolution
inpainting cultural heritage crack detection digital reconstruction |
| ISBN | 1-62705-616-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
1. Introduction -- 1.1 What is super-resolution? -- 1.2 What is inpainting? -- 1.3 Applying super-resolution and inpainting in digital heritage images: challenges and solutions -- 1.4 A tour of the book --
2. Image super-resolution: self-learning, sparsity and Gabor prior -- 2.1 Single-image SR: a unified framework -- 2.1.1 Classical (within-scale) super-resolution -- 2.1.2 Exampled-based (across-scale) super-resolution -- 2.1.3 Unifying classical and example-based SR -- 2.2 Self-learning and degradation estimation -- 2.3 Gabor prior and regularization -- 2.4 Performance evaluation -- 2.4.1 Qualitative evaluation -- 2.4.2 Quantitative evaluation -- 2.5 Conclusion -- 3. Self-learning: faster, smarter, simpler -- 3.1 Efficient self-learning -- 3.1.1 Improved self-learning for super-resolution -- 3.2 Performance evaluation -- 3.2.1 Perceptual and quantitative evaluation -- 3.2.2 Improvements and extensions -- 3.3 Conclusion -- 4. An exemplar-based inpainting using an autoregressive model -- 4.1 Limitation of existing approaches -- 4.2 Proposed approach -- 4.3 Experimental results -- 4.4 Conclusion -- 5. Attempts to improve inpainting -- 5.1 A modified exemplar-based multi-resolution approach -- 5.1.1 Refinement by matching a larger region -- 5.1.2 Refinement using the patch-neighborhood relationship -- 5.1.3 Refinement using compressive sensing framework -- 5.2 Curvature-based approach for inpainting -- 5.3 Observations and conclusion -- 6. Simultaneous inpainting and super-resolution -- 6.1 Need for patch comparison at finer resolution -- 6.2 Proposed approach -- 6.2.1 Constructing image-representative LR-HR dictionaries -- 6.2.2 Estimation of HR patches -- 6.2.3 Simultaneous inpainting and SR of missing pixels -- 6.3 Experimental results -- 6.4 Conclusion -- 7. Detecting and inpainting damaged regions in facial images of statues -- 7.1 Preprocessing -- 7.2 Extraction of eye, nose and lip regions -- 7.3 Classification -- 7.4 Inpainting -- 7.5 Experimental results -- 7.6 Conclusion -- 8. Auto-inpainting cracks in heritage scenes -- 8.1 A simple method for detecting and inpainting cracks -- 8.1.1 Order-statistics-based filtering -- 8.1.2 Scan-line peak difference detection -- 8.1.3 Density-based filtering -- 8.1.4 Refinement -- 8.1.5 Experimental results -- 8.2 Singular value decomposition-based crack detection and inpainting -- 8.2.1 SVD and patch analysis -- 8.2.2 Thresholding -- 8.2.3 Experimental results -- 8.3 Crack detection using tolerant edit distance and inpainting -- 8.3.1 Preprocessing -- 8.3.2 Patch comparison using tolerant edit distance -- 8.3.3 Edge strength calculation -- 8.3.4 Thresholding -- 8.3.5 Refinement -- 8.3.6 Experimental results -- 8.4 Extension to auto-inpaint cracks in videos -- 8.4.1 Homography estimation -- 8.4.2 Reference frame detection -- 8.4.3 Tracking and inpainting cracked regions across frames -- 8.4.4 Experimental results -- 8.5 Conclusion -- 9. Challenges and future directions -- Bibliography -- Authors' biographies. |
| Record Nr. | UNINA-9910155693403321 |
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Padalkar Milind G.
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| [San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optical Sensors for Structural Health Monitoring
| Optical Sensors for Structural Health Monitoring |
| Autore | Antunes Paulo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (248 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D reconstruction
artificial neural networks atmosphere autoencoder blade tip timing bridge damage detection Brillouin scattering castigliano's theorem centrifugal compressor colorimetric detection convolutional neural network corrosion sensor crack detection crack measurement crack opening cracking damage index deep learning depth sensor DIC distributed fiber optic sensors distributed measurements distributed optical fiber strain sensing cable distributed vibration elasto-plastic behavior environmental monitoring equivalent length feature extraction Fiber Bragg grating Fiber Bragg Grating (FBG) fiber optic gyroscope fiber optic sensors fiber optic sensors embedded in concrete flexural cracks Fusarium head blight growth stage hybrid processes hyperspectral imaging image-based measurement load estimation load localization material extrusion microcracking monitoring non-synchronous blade vibration nuclear power plant oil and gas pipelines optical fiber sensors optical fibers PAD photometric stereo random forest Rayleigh scattering rotating stall scour shear cracks SHM similarity measure soil-structure interaction spectral indices strain measurement strain sensing cable characterization strain sensitivity coefficients structural health monitoring subway tunnel temperature and strain monitoring testing UHPFRC ultra-weak FBG visual inspection water weldable fiber optic sensors winkler model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557104003321 |
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Antunes Paulo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Symmetry in Structural Health Monitoring
| Symmetry in Structural Health Monitoring |
| Autore | Yang Yang |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (310 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
ARMA
artificial neutral network BPNN cable clamp collision response concrete surface construction process convolutional neural network coupling model crack detection curved surface fitting curvedcontinuous girder bridge damper data anomaly detection deep learning digital twin dynamic response finite element method flatness calculation datum force analysis frequency domain frequency-domain integration approach (FDIA) genetic algorithm H∞ control heavy-duty vehicle high formwork Hilbert-Huang transform (HHT) improved YOLOv4 integration algorithm intelligent construction micro inertial measurement unit (MIMU) mixed sensitivity multiple square loops (MSL)-string near and far field offshore oil platform pounding mitigation and unseating prevention prestressed steel structure real-time hybrid simulation RGB road safety assessment seismic excitation seismic mitigation seismic pulse self-anchored suspension bridge slippage stress trend prediction structural health monitoring structural health monitoring (SHM) substructure shake table testing surface flatness of initial support of tunnel technical codes terrestrial laser scanning three-dimensional laser scanning time delay time domain time-frequency domain time-frequency extraction torsion angle calculation variational mode decomposition (VMD) vibration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580210603321 |
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Yang Yang
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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