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Intelligent Networked Things : The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part I
Intelligent Networked Things : The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part I
Autore Zhang Lin
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2024
Descrizione fisica 1 online resource (287 pages)
Altri autori (Persone) YuWensheng
WangQuan
LailiYuanjun
LiuYongkui
Collana Communications in Computer and Information Science Series
ISBN 981-9739-51-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Theories and Mathematical Methods for Intelligent Networked Things -- A Method Based on the Principle of Polynomial Least Squares Fitting to Achieve High-Precision Temperature Measurement and Its Practical Application -- 1 Introduction -- 2 Analysis of the Current Situation of Temperature Measurement in SF6 Density Monitoring Equipment -- 3 Design Method for High Precision Temperature Measurement in Intelligent SF6 Gas Density Relay -- 3.1 Circuit Design and Noise Analysis of High Precision Temperature Sensing Unit -- 3.2 Calibration Test Platform for Intelligent Density Relays -- 4 Results and Discussion -- 4.1 Principle of Polynomial Least Squares Fitting -- 4.2 Fitted Curve -- 4.3 Comparison of High-Precision Fitting Methods -- 5 Conclusion -- References -- Design of an Attitude Control System for Hypersonic Ballistic Missiles with Extendable Swinging Nozzle Control -- 1 Introduction -- 2 Multibody Dynamics Model of a Ballistic Missile with Extendable Swinging Nozzle -- 2.1 The Ballistic Missile System with Extendable Swinging Nozzle -- 2.2 Establishment of a Dynamics Model for an Extended Swinging Nozzle Missile -- 2.3 Establishment of Nozzle Extension and Swinging Constraint Equation -- 3 Design of Ballistic Missile Attitude Controller -- 3.1 Attitude Control Model Transformation -- 3.2 Attitude Controller Design Based on Backstepping Sliding Mode -- 4 Simulation Results and Analysis -- 4.1 Simulation Verification Under Nominal Operating Conditions -- 4.2 Simulation Verification Under Aerodynamic Parameter Perturbation Conditions -- 5 Conclusion -- References -- Early Fault Diagnosis Method for Rolling Bearing Based on Improved Singular Values Decomposition -- 1 Introduction -- 2 Singular Value Decomposition -- 3 Improved Singular Value Decomposition Method.
3.1 Hankel Matrix Embedding Dimension Determination -- 3.2 Sub-signal Reconstruction -- 3.3 Selection of Optimal Sub-signal -- 4 Improved Singular Value Decomposition Method -- 5 Method Validation -- 5.1 Simulation Analysis -- 5.2 Experimental Analysis -- 6 Conclusion -- References -- Dynamic Analysis of Dual Motor-Gear Electromechanical Coupling System -- 1 Introduction -- 2 Establishment of Vector Control Simulation Model for PMSM -- 3 Dynamic Modeling of Gear Transmission System -- 4 Simulation of Electromechanical Coupling Dynamics Response of Dual Motor-Gear System -- 5 Experimental Verification and Analysis -- 5.1 Comparison and Analysis in the Time Domain -- 5.2 Comparison and Analysis in the Frequency Domain -- 6 Conclusions -- References -- Formal Proof of Meta-Theorem in First-Order Logic in Coq -- 1 Introduction -- 2 Preliminary -- 2.1 Formalization of Basic Concepts in First-Order Logic -- 2.2 Formalization of Axiom System in First-Order Logic -- 3 Formalization of Meta-theorem -- 3.1 Integrated Strategies -- 3.2 Meta-theorem -- 4 Conclusion -- References -- Formal Verification of Completeness Theorem in Grundlagen der Geometrie -- 1 Introduction -- 2 Axioms and Formalization -- 2.1 Group I -- 2.2 Group II -- 2.3 Group III -- 3 Lemmas and Formalization -- 4 The Formalization of Continuity Axioms -- 4.1 Archimedes' Axiom -- 4.2 Line Completeness Axiom -- 5 The Formalizarion of Completeness Theorem -- 5.1 The Formal Description of Completeness Theorem -- 5.2 The Verifaction of Completeness Theorem -- 6 Conclusions -- References -- Formalizing the Independence of Propositional Logic Axiom System in Coq -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Propositional Formulas -- 3.2 Axiom System -- 4 Formalization of the Independence of the Axiom System -- 4.1 Proof Methods for the Independence of the Axiom System.
4.2 Independence of Axiom P1 -- 4.3 Independence of Axiom P2 -- 4.4 Independence of Axiom P3 -- 4.5 Independence of the Axiom System -- 5 Conclusion -- References -- Spatiotemporal Information-Based Authorization Method for UOF Documents -- 1 Introduction -- 2 System Design -- 2.1 Total System Design -- 2.2 Encryption Process -- 2.3 Decryption Process -- 3 System Implementation -- 3.1 Develop Encryption Algorithms -- 3.2 The Lower Computer Obtains Space-Time Information -- 3.3 Upper Computer Software Writing -- 3.4 The Upper Computer Communicates with the Lower Computer -- 4 Case Study -- 4.1 Encryption Display -- 4.2 Decryption Display -- 5 Conclusion -- References -- Formalizing the Equivalence of Formal Systems in Propositional Logic in Coq -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Formula -- 3.2 Set Theory Involved -- 4 Formalization of the Axiom System -- 5 Formalization of the Natural Deduction System -- 6 Formalization of the Equivalence of the Two Systems -- 7 Conclusion -- References -- Formalization of the Filter Extension Principle (FEP) in Coq -- 1 Introduction -- 2 Filters -- 3 Formalization of the Filter Extension Principle (FEP) -- 3.1 Formalization of Lemma 1 -- 3.2 Formalization of Lemma 2 -- 3.3 Formalization of Lemma 3 and FEP -- 4 Conclusion -- References -- Lagrange's Theorem in Group Theory: Formalization and Proof with Coq -- 1 Introduction -- 2 Related Work -- 3 Formalization of Fundamental Concepts in Group Theory -- 4 Properties of Sets and Cardinalities -- 5 Formal Proof of Lagrange's Theorem -- 6 Conclusion -- References -- Observer-Based Fault Diagnosis for Re-entrant Manufacturing Systems -- 1 Introduction -- 2 Systems Modeling and Problems Formulation -- 3 Fault Detection Strategy -- 4 Adaptive-Observer Fault Diagnosis Scheme Design -- 5 Numerical Illustration -- 6 Conclusion -- References.
Prescribed-Time Leader-Follower Bipartite Consensus for Nonlinear Multi-agent Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Graph Theory -- 2.2 Useful Lemmas -- 2.3 Problem Statement -- 3 Main Results -- 4 Simulation Example -- 5 Conclusion -- References -- Off-Policy L2-Gain Control for Discrete-Time Linear Systems with Dropout -- 1 Introduction -- 2 Problem Formulation -- 2.1 Discrete-Time L2-Gain Control Problem -- 2.2 The Networked Control System with Dropout -- 2.3 The Solution of L2-Gain Problem with Dropout -- 3 Off Policy Reinforcement Learning Algorithm for Solving Dropout L2-Gain Control Problem -- 3.1 Model-Based Off-Policy Algorithm -- 3.2 Model-Free Off-Policy Algorithm -- 4 Simulation -- 5 Conclusion -- References -- Demand Response Analysis and Its Application to Smart Grids: A Evolutionary Game Method -- 1 Introduction -- 2 Preliminaries -- 2.1 Networked Evolutionary Games -- 2.2 Semi-tensor Product of Matrices -- 3 Modelling and Analysis of DR -- 3.1 Modelling of DR -- 3.2 Analysis of the Properties of DR -- 4 Conclusion -- References -- Promoting Cooperation in the Snowdrift Game: A Disconnection-Reconnection Reputation Memory Mechanism -- 1 Introduction -- 2 Model -- 3 Simulation Results and Analysis -- 4 Conclusions -- References -- Dynamic Output-Feedback Control for Multirate Positive Systems Under Round-Robin Protocol -- 1 Introduction -- 2 Problem Formulation and Some Preliminaries -- 3 Stability Analysis -- 4 l1-Gain Analysis -- 5 Conclusion -- References -- Analysis of Aggregation Behavior of Swarm Robotics Inspired by Temperature Source -- 1 Introduction -- 2 BEECLUST Algorithm -- 3 Experimental Setup -- 3.1 Simulation Platform -- 3.2 Experimental Parameters -- 4 Results and Discussion -- 4.1 Sensing Range -- 4.2 Forward Speed -- 4.3 Size of the Temperature Source -- 4.4 Intensity of the Temperature Source.
5 Conclusion -- References -- Modeling and Simulation in Intelligent Networked Things -- Research on Simulation of Heat Conduction in the Built-in SF6 Multiparameter Sensor -- 1 Introduction -- 2 Simulation Analysis of Thermal Conduction Effects on Sensors -- 3 Physical Model of Thermal Conduction in Sensors -- 3.1 Basic Structure of Sensors -- 3.2 Thermal Isolation Strategies for Sensors -- 4 Thermal Conduction Simulation Analysis Methods for Sensors -- 4.1 Theory of Heat Transfer in Solids and Fluids -- 4.2 Experimental Methodology and Simulation Parameters -- 5 Simulation Results and Analysis -- 5.1 Experiment 1: Experimental Results of Fluid Heat Transfer in Two End Cavities -- 5.2 Experiment 2: Experimental Results of no Fluid Heat Transfer in Two End Cavities -- 5.3 Experiment 3: Experimental Results of Isolation Measures for Sensors and Base -- 5.4 Experiment 4: Experimental Results of Heat Transfer at the Perception Unit End -- 5.5 Analysis of Experimental Results -- 6 Conclusion -- References -- Modeling and Simulation Analysis of Alliance Anti-Missile Operational Capability -- 1 Introduction -- 2 Analysis Framework for Alliance Anti-Missile Operational Capability -- 2.1 Characteristics of Alliance Anti-Missile System -- 2.2 Modeling and Simulation Analysis Framework for Alliance Anti-Missile Operational Capability -- 3 Networked Indicator System for Alliance Anti-Missile Operational Capability -- 3.1 Alliance Anti-Missile Operational Capability Emergence Network -- 3.2 Networked Indicator System Based on Capability Emergence -- 4 Analysis Model of Alliance Anti-Missile Operational Capability Based on SEM -- 4.1 SEM Basic Theory -- 4.2 Analysis Model of Alliance Anti-Missile Operational Capability -- 5 Large Sample Simulation Analysis Based on System Confrontation -- 5.1 Experiment Design and Data Processing.
5.2 Analysis of Experimental Results.
Record Nr. UNINA-9910872189303321
Zhang Lin  
Singapore : , : Springer Singapore Pte. Limited, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Networked Things : The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part II
Intelligent Networked Things : The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part II
Autore Zhang Lin
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2024
Descrizione fisica 1 online resource (0 pages)
Altri autori (Persone) YuWensheng
WangQuan
LailiYuanjun
LiuYongkui
Collana Communications in Computer and Information Science Series
ISBN 981-9739-48-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Artificial Intelligence for Intelligent Networked Things -- Application of Improved ResNet18 Based Neural Network for Non-invasive Blood Glucose Testing -- 1 Introductory -- 2 Deep Learning Based on ResNet18-SVM -- 2.1 Wavelet Transform -- 2.2 ResNet18 Deep Learning Network with SVM Fusion Approach -- 3 Experiment and Result Analysis -- 3.1 Data Acquisition Process -- 3.2 Regression Testing Process -- 3.3 Results Analysis -- 3.4 Conclusion -- References -- iKnowiSee: AR Glasses with Language Learning Translation System and Identity Recognition System Built Based on Large Pre-trained Models of Language and Vision and Internet of Things Technology -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Overall Framework and Implementation of AR Glasses Designed and Developed Based on Internet of Things Technology -- 3.2 Language Learning and Translation System -- 3.3 Identification System -- 4 Experiments -- 4.1 AR Glasses Entity -- 4.2 Language Learning and Translation System -- 4.3 Identification System -- 4.4 APP Design and Build -- 5 Conclusion -- References -- HM-W2V: Word Embedding from Hippocampus Spiking Neural Network -- 1 Introduction -- 2 Related Research -- 3 Model Structure -- 3.1 LIF Neuron -- 3.2 HM Embedding Layer -- 3.3 PR Module -- 4 Experimental Evaluation -- 4.1 Word Similarity -- 4.2 Document Classification -- 4.3 Threshold of LIF Neuron -- 5 Conclusion -- References -- Multi-target Intelligent Detection Method of Support Structure Defects Based on Digital Image Processing Technology -- 1 Introduction -- 2 Support Defect Target Detection Algorithm -- 2.1 Target Detection of Defective Support Structure Based on YOLOv5 Neural Network -- 2.2 Training and Validation -- 3 Support Defect Feature Extraction Algorithm.
3.1 Improved Gaussian Algorithm Combined with Histogram Equalization -- 3.2 Improved Adaptive Canny Algorithm Combined with Otsu -- 3.3 Crack Algorithm Based on Morphology -- 3.4 Defect Area Algorithm Based on Connected Component Labelling -- 4 Experiments and Results -- 4.1 Construction of Image Acquisition Hardware Platform -- 4.2 Defect Image Detection Experiment -- 5 Conclusion -- References -- Design of Calculation Algorithm for Edge Straight Line Accuracy of Metal Plate Based on Point Cloud Data -- 1 Introduction -- 2 Measurement and Data Preprocessing -- 2.1 Line Structured Light Ranging Theory -- 2.2 Point Cloud Data Preprocessing Algorithm Design -- 3 Straight Line Accuracy Calculation -- 4 Experiments and Results -- 4.1 The Composition of the Measurement System -- 4.2 Straight Line Accuracy Calculation Experimental Verification -- 5 Conclusion -- References -- Fault Diagnosis of Rolling Bearings Based on SVM and Improved D-S Evidence Theory for Multi-sensor Fusion -- 1 Introduction -- 2 SVM Theory -- 3 Improved D-S Evidence Theory -- 3.1 The Fusion of Evidence is Modified Based on the Lance Distance Function and the Spectral Angle Cosine Function -- 3.2 Case Analysis -- 4 Fault Diagnosis Model Based on SVM and Improved D-S Evidence Theory -- 5 Case Study Analysis -- 5.1 Experimental Setup -- 5.2 Data Acquisition and Feature Extraction -- 5.3 Fault Diagnosis -- 6 Conclusion -- References -- mmWave Radar Point Cloud Based Pose Estimation with Residual Blocks for Rehabilitation Exercise -- 1 Introduction -- 2 Related Work -- 3 mmWave Radar Sensing System -- 3.1 Data Acquisition -- 3.2 Data Preprocessing -- 4 Proposed Method -- 4.1 Model Design -- 4.2 Loss Function -- 5 Experimental Evaluations -- 5.1 Experimental Setup and Dataset -- 5.2 Model Setting and Training Details -- 5.3 Experimental Results -- 5.4 Ablation Study.
6 Limitations of the Proposed Method -- 7 Conclusions -- References -- Enhancing Repetitive Action Counting Through Hierarchical Transformer-Based Radar-Vision Fusion -- 1 Introduction -- 2 Related Work -- 2.1 Repetitive Action Counting -- 2.2 Radar-Vision Fusion Based Learning -- 3 Radar-Video Based Multi-modal Fusion Approach -- 3.1 Method Overview -- 3.2 Feature Extraction Module -- 3.3 Hierarchical Multi-modal Fusion Transformer -- 3.4 Period Predictor -- 4 Experiment Studies -- 4.1 Data Collection -- 4.2 Dataset Description -- 4.3 Experiment Setting -- 4.4 Experiment Results -- 5 Conclusion -- References -- Realizing Human Pose Estimation Based on Deep Kalman Filtering -- 1 Introduction -- 2 Related Work -- 2.1 Human Pose Estimation Based on Radar -- 2.2 Deep Kalman Filtering -- 3 mmWave Radar Sensing System -- 3.1 Data Acquisition -- 3.2 Data Processing -- 3.3 Overview of Our Method -- 4 Deep Kalman Filtering Method -- 4.1 Deep Kalman Filtering -- 5 Experimental Studies -- 5.1 Radar Configuration and Dataset -- 5.2 Experimental Results -- 6 Conclusion -- References -- A Multi-scale Feature Fusion Method for Demand Forecasting in Supply Chain Management -- 1 Introduction -- 2 Methods -- 3 Experiments -- 3.1 Data Preprocessing -- 3.2 Training Settings -- 3.3 Results -- 3.4 Ablation Study -- 4 Conclusion -- References -- Process Fault Diagnosis Based on Moving Window KECA and Random Forest -- 1 Introduction -- 2 Basic KECA and RF -- 3 Moving Window KECA-RF Fault Diagnosis Method -- 4 Simulation Results and Analysis -- 5 Conclusion -- References -- Intelligent Monitoring Method for Gear Grinding Machine Spindle Based on Multi-source Information Fusion -- 1 Introduction -- 2 Related Works -- 3 Overall Framework -- 4 Methodology -- 4.1 Spindle Vibration Signal Feature Extraction of Wavelet Packet Based on Sample Entropy.
4.2 Evaluation of Gear Grinding Machine State Based on Entropy Weight Method Improved D-S Evidence Theory -- 5 Experiment and Result -- 6 Conclusion -- References -- Research on Improving ResNet18 for Classifying Complex Images Based on Attention Mechanism -- 1 Introduction -- 2 The Method of This Article -- 2.1 Overall Model Structure Design -- 2.2 The Channel Attention Mechanism -- 2.3 The Spatial Convolution Attention Mechanism -- 3 Experiment and Analysis -- 3.1 Experimental Environment and Parameter Design -- 3.2 Experimental Dataset -- 3.3 Experimental Results and Analysis -- 3.4 Ablation Experiment -- 3.5 Classification Confusion Matrix -- 4 Conclusion -- References -- A Framework for Automated Generation of Transmission Processes Based on Kinetic Knowledge Mapping -- 1 Introduction -- 2 Related Works -- 3 Overall Framework -- 4 Methodology -- 4.1 Dynamic and Static Multimodal Transmission Domain Knowledge Graph Construction -- 4.2 Process Scheme Generation Based on Graph Cyclic Networks and Ant Colony Algorithm -- 5 Experiment and Result -- 6 Conclusion -- References -- Optimization and Decision in Intelligent Networked Things -- Intelligent Optimization Methods for Unmanned Cluster Delivery Support Task Allocation -- 1 Introduction -- 2 VRPTW Model Based on Unmanned Swarming -- 2.1 Description of the VRPTW Model Based on Unmanned Cluster Task Allocation -- 2.2 Mathematical Model of the VRPTW Based on Unmanned Delivery Platforms -- 3 Task Allocation Method Based on Genetic Algorithms -- 3.1 Encoding Design -- 3.2 Fitness Function -- 3.3 Genetic Operation Operator -- 4 Simulation and Experimental Verification -- 4.1 Introduction of the Example -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- Knowledge-Specific Reinforcement Learning for Job-Shop Scheduling with Dynamic Processing States in Disassembly Factory.
1 Introduction -- 2 Problem Description -- 2.1 Job-Shop Scheduling Problem -- 2.2 Disassembly Job-Shop with Dynamic Factors -- 3 Knowledge-Specific Dynamic Scheduling Method -- 3.1 Environment and Constraints -- 3.2 RL Interaction Design -- 3.3 Algorithm -- 4 Experiment -- 4.1 Experiment Configuration -- 4.2 Dynamic Job-Shop Scheduling with Unequal Probability Distributions -- 4.3 Dynamic Job-Shop Scheduling with Different MTBF -- 5 Conclusion -- References -- Implementation of Real-Time Robot Monitoring and Scheduling Platform in Cloud Manufacturing Environment -- 1 Introduction -- 2 Scheduling Model -- 2.1 Robot, Enterprise and Logistics -- 2.2 Task and Subtask -- 2.3 Constraints and Objectives -- 3 Requirements Analysis and Implementation -- 3.1 Requirements Analysis -- 3.2 Implementation -- 4 Deployment and Test -- 4.1 Deployment -- 4.2 Test -- 5 Conclusion -- References -- Multi-mission UAV Trajectory Planning in Smart Agriculture with Polarization Learning Model-Driven by Harris Hawks Optimizer -- 1 Introduction -- 2 Literature Review -- 3 Design and Optimization of the Harris Hawks Optimizer -- 3.1 Polarization Model-Based Diversity Enhancement Mechanism -- 3.2 Nonlinear Energy Parameter Optimization Mechanism -- 3.3 Random Spiral Perturbation Based Mutation Mechanism -- 4 Examination of the PL-HHO Algorithm -- 4.1 Experimental Parameters and Test Functions -- 4.2 Results and Analysis of Tests -- 5 Multi-mission UAV Trajectory Planning in Smart Agriculture -- 5.1 Mission Scale Setting -- 5.2 Multi-mission UAV Trajectory Planning Under Routine Conditions -- 5.3 Multi-mission UAV Trajectory Planning in Complex Conditions -- 6 Conclusion -- References -- Optimal Deception Attacks on Remote State Estimation with Heterogeneous Vulnerabilities -- 1 Introduction -- 2 Problem Formulation -- 2.1 Process Model -- 2.2 Smart Sensor and Remote Estimator.
2.3 False Data Detector.
Record Nr. UNINA-9910872188103321
Zhang Lin  
Singapore : , : Springer Singapore Pte. Limited, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding : Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers / / edited by Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding : Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers / / edited by Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVI, 143 p. 77 illus., 45 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Mathematical logic
Application software
Data mining
Artificial Intelligence
Mathematical Logic and Formal Languages
Computer Appl. in Administrative Data Processing
Data Mining and Knowledge Discovery
ISBN 981-13-3146-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Towards answering geography questions in Gaokao: a hybrid approach -- Distant supervision for chinese temporal tagging -- Convolutional neural network-based question answering over knowledge base with type constraint -- MMCRD: An effective algorithm for deploying monitoring point on social network -- Deep learning for knowledge-driven ontology stream prediction -- DSKG: a Deep sequential model for knowledge graph completion -- Pattern learning for Chinese open information extraction -- Adversarial training for relation classification with attention based gate mechanism -- A novel approach on entity linking for encyclopedia infoboxes -- Predicting concept-based research trends with rhetorical framing -- Knowledge augmented inference network for natural language inference -- Survey on schema induction from knowledge graphs.
Record Nr. UNINA-9910350237503321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wind turbine airfoils and blades : optimization design theory / / edited by Jin Chen, Quan Wang
Wind turbine airfoils and blades : optimization design theory / / edited by Jin Chen, Quan Wang
Autore Chen Jin
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2018]
Descrizione fisica 1 online resource (392 pages)
Disciplina 621.4/5
Collana GREEN alternative energy resources
Soggetto topico Wind turbines
ISBN 3-11-038374-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Preface / Chen, Jin -- Contents -- 1. Introduction -- 2. Aerodynamic characteristics of wind turbine airfoils -- 3. Integrated expressions of wind turbine airfoils -- 4. Theory of parametric optimization for wind turbine airfoils -- 5. Experiments on the wind turbine airfoil and data analysis -- 6. Aerodynamics of wind turbine rotors and tip-loss corrections -- 7. Integrated representations for wind turbine blade shapes -- 8. Shape optimization of wind turbine blades -- 9. Structural optimization of composite wind turbine blades -- 10. Analysis of the aeroelastic coupling of wind turbine blades -- 11. Aeroelastic stability analysis of two-dimensional airfoil sections for wind turbine blades -- References
Record Nr. UNINA-9910260058203321
Chen Jin  
Berlin ; ; Boston : , : De Gruyter, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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