LEADER 10935nam 22004933 450 001 9910746959403321 005 20231006080236.0 010 $a3-031-40070-4 035 $a(MiAaPQ)EBC30769592 035 $a(Au-PeEL)EBL30769592 035 $a(PPN)272915580 035 $a(CKB)28449043600041 035 $a(EXLCZ)9928449043600041 100 $a20231006d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Automation, Mechanical and Design Engineering $eSamde 2022 205 $a1st ed. 210 1$aCham :$cSpringer,$d2023. 210 4$d©2023. 215 $a1 online resource (467 pages) 225 1 $aMechanisms and Machine Science Series ;$vv.138 311 08$aPrint version: Carbone, Giuseppe Advances in Automation, Mechanical and Design Engineering Cham : Springer,c2023 9783031400698 327 $aIntro -- Organization -- Preface -- Contents -- Part I Advanced Materials and Structures -- 1 Study on the Application of Inorganic Curing Expansion Filling Roof Jointing Material in the Rapid Confinement of Large Mining Height Coal Seam Roadway -- 1.1 Introduction -- 1.2 Related Works -- 1.3 Methods -- 1.4 Experimental Analysis -- 1.5 Conclusion -- References -- 2 Different Structural Parameters Impacted on the Rough Surfaces Contact Force and Area Between the Base and the Magnetic Film Cantilever -- 2.1 Introduction -- 2.2 The Magnetostrictive is Equivalent to Thermal Expansion Analysis -- 2.3 Modelling -- 2.3.1 Bending Displacement Model -- 2.3.2 Material Parameters and Structural Model -- 2.3.3 Boundary Conditions -- 2.4 Results and Discussions -- 2.5 Conclusions -- References -- 3 Study on the Longitudinal Distribution of the Relative Slip of Steel Bars in the Steel Grouting Sleeve -- 3.1 Introduction -- 3.2 Establishment of 3D Steel Grouting Sleeve Model -- 3.2.1 Geometric Model -- 3.2.2 Material Parameters -- 3.2.3 Boundary Conditions -- 3.3 Results and Analysis -- 3.3.1 Model Validation -- 3.3.2 ?n Along the Longitudinal Distribution of Steel -- 3.3.3 ?n Along the Longitudinal Distribution of Steel in the Sleeve -- 3.3.4 ?n Along the Longitudinal Distribution of Steel Outside the Sleeve -- 3.4 Conclusion -- References -- 4 Experimental Study on Temperature Variation Performance of Steel-UHPC Composite Bridge Deck Pavement -- 4.1 Introduction -- 4.2 Project Profile -- 4.2.1 Bridge Profile -- 4.2.2 UHPC Bridge Deck Pavement -- 4.3 Performance Test of UHPC Bridge Deck Pavement -- 4.3.1 Monitoring Parameters -- 4.3.2 Sensor Arrangement -- 4.3.3 Selection of Sensors and Data Collectors -- 4.3.4 Data Acquisition and Processing -- 4.4 Experimental Results on Temperature Variation Performance of the UHPC Bridge Deck Pavement. 327 $a4.4.1 Data of Temperature Variation -- 4.4.2 Strain in the Height Direction of the UHPC Layer -- 4.4.3 Cohesiveness Between UHPC and Steel Bridge Deck -- 4.4.4 The Influence of Temperature -- 4.5 Conclusion -- References -- 5 A 3D Point Cloud Model-Based Inspection Method for the Dimension of Prefabricated Steel Members -- 5.1 Introduction -- 5.2 3D Laser Scanning-Based Error Inspection Process for Steel Fabrication -- 5.3 Acquisition and Processing of Point Cloud Data -- 5.3.1 Point Cloud Data Acquisition -- 5.3.2 Point Cloud Registration -- 5.3.3 Point Cloud Simplification -- 5.3.4 Point Cloud Denoising -- 5.4 Geometric Modeling and Optimization of Members -- 5.5 Member Error Inspection and Key Parameter Extraction -- 5.5.1 Processing Quality Inspection of Members -- 5.5.2 Key Parameter Extraction -- 5.6 Conclusion -- References -- 6 Micron/Nano Imprinter Process to Fabricate Large-Area Micro Riblets Surface with Drag Reduction Performance -- 6.1 Introduction -- 6.2 Experimental -- 6.2.1 Materials and Method -- 6.2.2 Drag Reduction -- 6.2.3 Mechanism -- 6.3 Conclusion -- References -- 7 Research on Compressive Properties of PVA Hybrid Fiber Concrete After High Temperature -- 7.1 Introduction -- 7.2 Experimental Work -- 7.2.1 Test Materials -- 7.2.2 Test Setup and Procedure -- 7.2.3 High Temperature Test Process -- 7.3 Test Results and Discussion -- 7.3.1 Failure Mode -- 7.3.2 Compression Strength of Hybrid Fiber Concrete After High Temperature -- 7.4 Conclusion -- References -- 8 Flow Field Simulation Analysis and Test on the Separation Device of Waste Mulching Films and Straws in the Cotton Field -- 8.1 Introduction -- 8.2 Composition Measurement of Film-Impurity Mixture -- 8.3 Measurement of Suspension Speed of the Film-Impurity Mixture -- 8.4 Simulation Analysis on the Internal Flow Field of the Film-Impurity Separation Device. 327 $a8.4.1 Determination of the Structure and Dimensions of the Device -- 8.4.2 Design of Spiral Blades -- 8.4.3 Model Establishment -- 8.4.4 Simulation Analysis on the Flow Field at Different Wind Speeds -- 8.4.5 Simulation Analysis on the Flow Field at Different Air Inlet Angles -- 8.5 Validation Test -- 8.6 Conclusions and Discussion -- 8.6.1 Conclusions -- 8.6.2 Discussion -- References -- 9 An Improved Three-Dimensional Cellular Automata Model for Simulating the Multi-orient Dendrites of Binary Alloy -- 9.1 Introduction -- 9.2 Improved 3D CA Model -- 9.3 Results and Discussion -- 9.4 Conclusions -- References -- Part II Intelligent Systems and Machine Learning -- 10 Application Study of Slope Intelligent Monitoring Based on IOT and UAV -- 10.1 Introduction -- 10.2 Present Situation and Method of Slope Monitoring -- 10.2.1 Statistics of Landslide Hazards -- 10.2.2 Development History of Slope Monitoring Technology -- 10.2.3 Standardization of Slope Deformation Monitoring -- 10.2.4 Slope Monitoring Technology and Development Trend -- 10.3 Application of IOT Technology in Slope Intelligent Detection -- 10.3.1 IOT Platform Architecture -- 10.3.2 Data Acquisition and Transmission Mechanism -- 10.4 Application of UAV in Slope Disease Identification -- 10.4.1 Design of UAV Flight Route -- 10.4.2 UAV Image Processing -- 10.5 Intelligent Operation and Maintenance of Slope Health -- 10.6 Summary and Prospect -- References -- 11 UWB Localization Based on Improved SO-Robust KF Fusion Algorithm -- 11.1 Introduction -- 11.2 System Architecture -- 11.2.1 UWB Ranging Model -- 11.2.2 SO Algorithm -- 11.3 Optimization Algorithm -- 11.3.1 Improved Adaptive Weighting Factor -- 11.3.2 Improved Fitness Function -- 11.3.3 Robust Kalman Filter -- 11.4 Simulation Results -- 11.4.1 Static Experiments -- 11.4.2 Dynamic Experiments -- 11.5 Conclusion -- References. 327 $a12 Class-Imbalanced and Fine-Grained Object Detection in Video Surveillance for Production Safety -- 12.1 Introduction -- 12.2 Related Work -- 12.2.1 Object Detection -- 12.2.2 Attention Mechanism -- 12.2.3 Class-Imbalanced Image Recognition -- 12.2.4 Fine-Grained Image Recognition -- 12.3 Methodology -- 12.3.1 Attention Enhancement -- 12.3.2 Improved Loss Function -- 12.4 Experiments -- 12.4.1 Dataset -- 12.4.2 Implementation Details -- 12.4.3 Ablation Studies -- 12.5 Conclusion -- References -- 13 NLFA: A Non Local Fusion Alignment Module for Multi-Scale Feature in Object Detection -- 13.1 Introduction -- 13.2 Related Work -- 13.2.1 Deformable Convolution and Feature Alignment -- 13.2.2 Non Local Algorithm and Feature Alignment -- 13.3 Methods -- 13.3.1 Non Local Align Module -- 13.3.2 Channel Fusion Augmentation Module -- 13.4 Experiments -- 13.4.1 Evaluation Metrics -- 13.4.2 Implementation Details -- 13.4.3 Comparison Methods -- 13.4.4 Comparison with Baseline -- 13.4.5 Ablation Study -- 13.5 Conclusions -- References -- 14 Image Reconstruction for Rain Removal in Both Wavelet and Spatial Frequency Sub-bands Using W-CycleGANs -- 14.1 Introduction -- 14.2 Background and Related Work -- 14.3 Wavelet Transform for Processing Rain Images in the Frequency Domain -- 14.4 Network Architecture of W-CycleGANs -- 14.5 Network Training and Testing -- 14.6 Gamma Correction -- 14.7 Comparison Results Between the W-CycleGANs and the CycleGAN -- 14.8 Conclusions -- References -- 15 Pedestrian Multi-object Tracking Based on ResNeXt and FairMOT -- 15.1 Introduction -- 15.2 Related Work -- 15.3 Model Framework -- 15.3.1 ResNeXt -- 15.3.2 NAM -- 15.4 Results and Discussion -- 15.4.1 Datasets -- 15.4.2 Evaluation Indicators -- 15.4.3 Experimental Environment and Parameter Settings -- 15.5 Conclusion -- References. 327 $a16 Recognition of Leftover Food Based on Deep Learning -- 16.1 Introduction -- 16.2 Related Work -- 16.3 System Overview -- 16.4 Methodology -- 16.4.1 Data Augmentation -- 16.4.2 Model Training -- 16.4.3 Model Structure -- 16.5 Experiments -- 16.5.1 Experiments Setup -- 16.5.2 Experiments Result: Data Augmentation and Training -- 16.5.3 Experiments Result: Classification -- 16.6 Conclusion -- References -- Part III Optimization and Modeling Techniques -- 17 Task Offloading for UAV-Assisted of Collaborative Mobile Edge Computing Network Based on Deep Reinforcement Learning -- 17.1 Introduction -- 17.1.1 Related Work -- 17.1.2 Contribution and Organization -- 17.2 System Model -- 17.2.1 Collaborative Offloading Model -- 17.2.2 Communication Model -- 17.2.3 Computing Model -- 17.2.4 Problem Formulation -- 17.3 The Proposed Algorithm -- 17.4 Simulation Results -- 17.5 Conclusion -- References -- 18 Multi-scale Rain Removal Across Multiple Frequencies Sub-bands Using MS-CycleGANs -- 18.1 Introduction -- 18.2 Background and Related Work -- 18.3 NIQE Rain Distortion Metric -- 18.4 Network, Training and Testing -- 18.4.1 Network Parameter and Training Data Set -- 18.5 Testing and Evaluation -- 18.6 Experimental Results -- 18.6.1 Qualitative Comparison -- 18.7 Quantitative Comparison -- 18.8 Conclusion -- References -- 19 Research on the Optimization of the Assembly Sequence of Continuous Steel Arch Bridges with Multi-span Deck -- 19.1 Introduction -- 19.2 Optimization of the Sequence of Multi Arch Assembly Based on Stress Displacement Weight -- 19.3 Project of Continuous Steel Arch Bridge with Multi-span Deck -- 19.4 Determination of the Optimized Assembly Sequence -- 19.4.1 Analysis on the Stresses During Assembly -- 19.4.2 Analysis on the Displacements During Assembly -- 19.4.3 Optimization Results -- 19.4.4 Installation Performance -- 19.5 Conclusion. 327 $aReferences. 410 0$aMechanisms and Machine Science Series 676 $a670.427 700 $aCarbone$b Giuseppe$0381230 701 $aLaribi$b Med Amine$01431308 701 $aJiang$b Zhiyu$01368827 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746959403321 996 $aAdvances in Automation, Mechanical and Design Engineering$93573644 997 $aUNINA