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[null,"1.","Record Nr.",null,"UNINA9910746959403321"]
[null,null,"Autore",null,"Carbone Giuseppe"]
[null,null,"Titolo",null,"Advances in Automation, Mechanical and Design Engineering : SAMDE 2022 / / edited by Giuseppe Carbone, Med Amine Laribi, Zhiyu Jiang"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9783031400704"]
[{"$nulls":4},"3031400704"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (467 pages)"]
[null,null,"Collana",null,"Mechanisms and Machine Science, , 2211-0992 ; ; 138"]
[null,null,"Disciplina",null,"670.427"]
[null,null,"Soggetti",null,"Automatic control"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Engineering design"]
[{"$nulls":4},"Biomedical engineering"]
[{"$nulls":4},"Control, Robotics, Automation"]
[{"$nulls":4},"Engineering Design"]
[{"$nulls":4},"Biomedical Engineering and Bioengineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- 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 δn Along "]
[{"$nulls":4},"the Longitudinal Distribution of Steel -- 3.3.3 δn Along the Longitudinal Distribution of Steel in the Sleeve -- 3.3.4 δn Along the Longitudinal Distribution of Steel Outside the Sleeve -- 3.4 Conclusion -- References -- 4 Experimental Study on Temperature Variation Performance of Steel-UHPC Composite Bridge Deck Pavement -- 4.1 Introduction -- 4.2 Project Profile -- 4.2.1 Bridge Profile -- 4.2.2 UHPC Bridge Deck Pavement -- 4.3 Performance Test of UHPC Bridge Deck Pavement -- 4.3.1 Monitoring Parameters -- 4.3.2 Sensor Arrangement -- 4.3.3 Selection of Sensors and Data Collectors -- 4.3.4 Data Acquisition and Processing -- 4.4 Experimental Results on Temperature Variation Performance of the UHPC Bridge Deck Pavement."]
[{"$nulls":4},"4.4.1 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."]
[{"$nulls":4},"8.4.1 Determination of the Structure and Dimensions of the Device -- 8.4.2 Design of Spiral Blades -- 8.4.3 Model Establishment -- 8.4.4 Simulation Analysis on the Flow Field at Different Wind Speeds -- 8.4.5 Simulation Analysis on the Flow Field at Different Air Inlet Angles -- 8.5 Validation Test -- 8.6 Conclusions and Discussion -- 8.6.1 Conclusions -- 8.6.2 Discussion -- References -- 9 An Improved Three-Dimensional Cellular Automata Model for Simulating the Multi-orient Dendrites of Binary Alloy -- 9.1 Introduction -- 9.2 Improved 3D CA Model -- 9.3 Results and Discussion -- 9.4 Conclusions -- References -- Part II Intelligent Systems and Machine Learning -- 10 Application Study of Slope Intelligent Monitoring Based on IOT and UAV -- 10.1 Introduction -- 10.2 Present Situation and Method of Slope Monitoring -- 10.2.1 Statistics of Landslide Hazards -- 10.2.2 Development History of Slope Monitoring Technology -- 10.2.3 Standardization of Slope Deformation Monitoring -- 10.2.4 Slope Monitoring Technology and Development Trend -- 10.3 Application of IOT Technology in Slope Intelligent Detection -- 10.3.1 IOT Platform "]
[{"$nulls":4},"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."]
[{"$nulls":4},"12 Class-Imbalanced and Fine-Grained Object Detection in Video Surveillance for Production Safety -- 12.1 Introduction -- 12.2 Related Work -- 12.2.1 Object Detection -- 12.2.2 Attention Mechanism -- 12.2.3 Class-Imbalanced Image Recognition -- 12.2.4 Fine-Grained Image Recognition -- 12.3 Methodology -- 12.3.1 Attention Enhancement -- 12.3.2 Improved Loss Function -- 12.4 Experiments -- 12.4.1 Dataset -- 12.4.2 Implementation Details -- 12.4.3 Ablation Studies -- 12.5 Conclusion -- References -- 13 NLFA: A Non Local Fusion Alignment Module for Multi-Scale Feature in Object Detection -- 13.1 Introduction -- 13.2 Related Work -- 13.2.1 Deformable Convolution and Feature Alignment -- 13.2.2 Non Local Algorithm and Feature Alignment -- 13.3 Methods -- 13.3.1 Non Local Align Module -- 13.3.2 Channel Fusion Augmentation Module -- 13.4 Experiments -- 13.4.1 Evaluation Metrics -- 13.4.2 Implementation Details -- 13.4.3 Comparison Methods -- 13.4.4 Comparison with Baseline -- 13.4.5 Ablation Study -- 13.5 Conclusions -- References -- 14 Image Reconstruction for Rain Removal in Both Wavelet and Spatial Frequency Sub-bands Using W-CycleGANs -- 14.1 Introduction -- 14.2 Background and Related Work -- 14.3 Wavelet Transform for Processing Rain Images in the Frequency Domain -- 14.4 Network Architecture of W-CycleGANs -- 14.5 Network Training and Testing -- 14.6 Gamma Correction -- 14.7 Comparison Results Between the W-CycleGANs and the CycleGAN -- 14.8 Conclusions -- References -- 15 Pedestrian Multi-object Tracking Based on ResNeXt and FairMOT -- 15.1 Introduction -- 15.2 Related Work -- 15.3 Model Framework -- 15.3.1 ResNeXt -- 15.3.2 NAM -- 15.4 Results and Discussion -- 15.4.1 Datasets -- 15.4.2 Evaluation Indicators -- 15.4.3 Experimental Environment and Parameter Settings -- 15.5 Conclusion -- References."]
[{"$nulls":4},"16 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 -- "]
[{"$nulls":4},"18.4 Network, Training and Testing -- 18.4.1 Network Parameter and Training Data Set -- 18.5 Testing and Evaluation -- 18.6 Experimental Results -- 18.6.1 Qualitative Comparison -- 18.7 Quantitative Comparison -- 18.8 Conclusion -- References -- 19 Research on the Optimization of the Assembly Sequence of Continuous Steel Arch Bridges with Multi-span Deck -- 19.1 Introduction -- 19.2 Optimization of the Sequence of Multi Arch Assembly Based on Stress Displacement Weight -- 19.3 Project of Continuous Steel Arch Bridge with Multi-span Deck -- 19.4 Determination of the Optimized Assembly Sequence -- 19.4.1 Analysis on the Stresses During Assembly -- 19.4.2 Analysis on the Displacements During Assembly -- 19.4.3 Optimization Results -- 19.4.4 Installation Performance -- 19.5 Conclusion."]
[{"$nulls":4},"References."]
[null,null,null,"Sommario/riassunto","This book presents the proceedings of the 2022 3rd International Symposium on Automation, Mechanical and Design Engineering (SAMDE), held in Beijing, China, on December 16–18, 2022, and organized by the Hong Kong Society of Robotics and Automation (HKSRA). It gathers contributions by researchers from several countries on the following topics: digitalized development and use of sustainable products and manufacturing systems, artificial intelligence, automated reasoning, human–robot collaborative interaction, sensors and autonomous sensor systems, cyber-physical control systems, generative design including topology optimization, advanced simulation and modelling, intelligent automation, smart materials, materials processing and factories, and circular economy, etc. The book offers a source of information and inspiration for researchers seeking to improve their work and gather new ideas for future developments."]