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From Multiscale Modeling to Meso-Science : A Chemical Engineering Perspective / / by Jinghai Li, Wei Ge, Wei Wang, Ning Yang, Xinhua Liu, Limin Wang, Xianfeng He, Xiaowei Wang, Junwu Wang, Mooson Kwauk
| From Multiscale Modeling to Meso-Science : A Chemical Engineering Perspective / / by Jinghai Li, Wei Ge, Wei Wang, Ning Yang, Xinhua Liu, Limin Wang, Xianfeng He, Xiaowei Wang, Junwu Wang, Mooson Kwauk |
| Autore | Li Jinghai |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (484 p.) |
| Disciplina |
620
620.0011 620.00420285 620.1064 |
| Soggetto topico |
Fluid mechanics
Chemical engineering Computational complexity Computer-aided engineering Energy systems Engineering Fluid Dynamics Industrial Chemistry/Chemical Engineering Complexity Computer-Aided Engineering (CAD, CAE) and Design Energy Systems |
| ISBN | 3-642-35189-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Footprint and Profile -- Meso-scale Modeling—the EMMS Model for Gas-Solid Systems -- Verification of the EMMS model with pseudo-particle modeling -- Extension of the EMMS Model to Gas-Liquid Systems -- From EMMS Model to EMMS Paradigm -- Partial Realization of the EMMS Paradigm -- Complete Realization of the EMMS Paradigm -- Applications in Industry -- Academic Applications of EMMS-based Models -- Many-core Programming -- Software -- Experimental Characterization of Meso-scale Behaviors -- Perspectives: Meso-science and Virtual Process Engineering. |
| Record Nr. | UNINA-9910437910403321 |
Li Jinghai
|
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geological Disaster Monitoring Based on Sensor Networks [[electronic resource] /] / edited by Tariq S. Durrani, Wei Wang, Sheila M Forbes
| Geological Disaster Monitoring Based on Sensor Networks [[electronic resource] /] / edited by Tariq S. Durrani, Wei Wang, Sheila M Forbes |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (215 pages) |
| Disciplina | 363.34 |
| Collana | Springer Natural Hazards |
| Soggetto topico |
Hydraulic engineering
Telecommunication Wireless communication systems Mobile communication systems Geology Geoengineering, Foundations, Hydraulics Geotechnical Engineering & Applied Earth Sciences Communications Engineering, Networks Wireless and Mobile Communication Natural Hazards |
| ISBN | 981-13-0992-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Application of Dense Offshore Tsunami Observations from Ocean Bottom Pressure Gauges (OBPGs) for Tsunami Research and Early Warnings -- Remote Sensing for Natural or Man-made Disasters and Environmental Changes -- Classification of Post-Earthquake High Resolution Images using Adaptive Dynamic Region Merging and Gravitational Self-Organizing Maps -- A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management -- Modelling of Earthquake Hazard and Secondary Effects for Loss Assessment in Marmara (Turkey) -- Unmanned Aerial Vehicles for Disaster Management -- Human Detection based on Radar Sensor Network in Natural Disaster -- Real-time Wind Velocity Monitoring based on Acoustic Tomography -- Intelligent Sub-meter Localization Based on OFDM Modulation Signal -- Conclusions and Final Comments. |
| Record Nr. | UNINA-9910350347303321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Implementing industry 4.0 : the model factory as the key enabler for the future of manufacturing / / Carlos Toro, Wei Wang, Humza Akhtar, editors
| Implementing industry 4.0 : the model factory as the key enabler for the future of manufacturing / / Carlos Toro, Wei Wang, Humza Akhtar, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (432 pages) |
| Disciplina | 670 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico | Manufacturing processes - Technological innovations |
| ISBN | 3-030-67270-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Contents -- 1 A Framework to Support Manufacturing Digitalization -- Abstract -- 1.1 Introduction -- 1.2 An Overview of the Digitalization State of the Art -- 1.2.1 Digitalization Maturity Model -- 1.2.2 Demand Supply Integration (DSI) -- 1.2.3 Six Sigma Based DMAIC Approach -- 1.2.4 DREAMY Based Transformation Approach -- 1.2.5 acatech Industrie 4.0 Maturity Index -- 1.2.6 Singapore Smart Industry Readiness Index (SIRI) -- 1.2.7 Summary -- 1.3 The Proposed Manufacturing Digitalization Framework -- 1.3.1 Industry Input -- 1.3.2 Industry Interview -- 1.3.3 Study -- 1.3.4 Digitalization Roadmap -- 1.4 Framework Implementation: Case Study and Evaluation -- 1.4.1 Case Study: Reliability of Heavy Machinery -- 1.4.2 Evaluation (Comparison with Other Frameworks) -- 1.4.2.1 Digitalization Framework Inputs -- 1.4.2.2 Digitalization Framework Analysis -- 1.4.2.3 Digitalization Framework Outputs -- 1.4.2.4 Digitalization Framework Application -- 1.5 Conclusion -- References -- 2 Real-Time Asset Tracking for Smart Manufacturing -- Abstract -- 2.1 Introduction -- 2.2 RTLS in Smart Manufacturing -- 2.2.1 Parts Tracking -- 2.2.2 Work-in-Progress (WIP) Tracking -- 2.2.3 Tools Tracking -- 2.2.4 Personnel Tracking -- 2.3 RTLS Components -- 2.3.1 RTLS Technologies -- 2.3.1.1 Radio Frequency Identification (RFID) -- 2.3.1.2 Wi-Fi -- 2.3.1.3 Bluetooth -- 2.3.1.4 Ultra-Wideband (UWB) -- 2.3.1.5 Vision -- 2.3.2 Localization Schemes -- 2.3.2.1 Two-Way Ranging (TWR) -- 2.3.2.2 Time of Arrival (TOA) -- 2.3.2.3 Angle of Arrival (AOA) -- 2.3.2.4 Time Difference of Arrival (TDOA) -- 2.3.2.5 Fingerprinting -- 2.4 Challenges -- 2.4.1 Challenges in Accuracy -- 2.4.2 Challenges in the Industrial Environment -- 2.4.3 Challenges to System Adoption -- 2.5 Innovations and Future Trends -- 2.5.1 Hybridization -- 2.5.2 Filtering.
2.5.3 Machine Learning -- 2.5.4 Deep Learning -- 2.6 Conclusion -- References -- 3 Unified IIoT Cloud Platform for Smart Factory -- Abstract -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Unified IIoT Cloud Platform (Harmony) -- 3.3.1 Architecture -- 3.3.2 Back-End Framework -- 3.3.2.1 ASP.NET -- 3.3.2.2 Microsoft SQL Server -- 3.3.3 Edge Connector Service -- 3.3.3.1 MQTT (Client) -- 3.3.3.2 OPC UA -- 3.3.3.3 XML -- 3.3.4 Front-End User Interface (UI) -- 3.4 Results -- 3.5 Conclusion and Future Work -- Acknowledgements -- References -- 4 A Perspective into Analysing Tool Wear Condition in Hard-Turning Process-The Key Lessons Learnt -- Abstract -- 4.1 Introduction -- 4.2 Brief State-of-the-Art -- 4.2.1 Health Monitoring with Limited Degradation Data -- 4.2.2 Predictions Across Multi-cutting Conditions -- 4.2.3 RUL Estimation with Deep Learning -- 4.2.4 Feature Engineering Versus Deep Transfer Learning -- 4.2.5 Unified RUL Predictions -- 4.3 Hard Turning Process -- 4.3.1 Design of Experiments (DoE) -- 4.3.1.1 Experiments for Tool Wear Classification (DoE-1) -- 4.3.1.2 Experiments for Tool Wear Prediction and RUL Estimation (DoE-2) -- 4.3.1.3 Experiments for Unified Tool Wear RUL Predictions (DoE-3) -- 4.4 Data Analysis Framework -- 4.4.1 Data Pre-processing -- 4.4.2 Feature Engineering -- 4.4.2.1 Feature Extraction -- 4.4.2.2 Feature Selection -- 4.4.3 Modelling Methods -- 4.4.3.1 Methodology for Tool Wear Classification -- 4.4.3.2 Methodology for Tool Wear Prediction with Ensemble -- 4.4.3.3 Methodology for Tool Wear RUL Estimation with Deep Learning -- 4.4.3.4 Methodology for Tool Wear Detection with Deep Transfer Learning -- 4.4.3.5 Methodology for Unified Tool Wear RUL Predictions -- 4.4.4 Performance Evaluation -- 4.5 Key Results and Discussion -- 4.5.1 Results for Tool Wear Classification -- 4.5.2 Results for Tool Wear Prediction with Ensemble. 4.5.3 Results for Tool Wear RUL Estimation with Deep Learning -- 4.5.4 Results for Tool Wear Detection with Deep Transfer Learning -- 4.5.5 Results for Unified Tool Wear RUL Predictions -- 4.6 Conclusions -- Acknowledgements -- References -- 5 Condition Monitoring for Predictive Maintenance of Machines and Processes in ARTC Model Factory -- Abstract -- 5.1 Introduction -- 5.1.1 Purpose of Condition Monitoring and Predictive Maintenance -- 5.1.2 Machine Monitoring -- 5.2 Sensorization -- 5.3 Data Acquisition System and Storage -- 5.4 Data Modelling and Machine Learning -- 5.4.1 Feature Extraction -- 5.4.1.1 Time and Statistical Domain Method for Tool Wear Prediction -- 5.4.1.2 Frequency Domain Method for Spindle Failure Analysis -- 5.4.2 Feature Ranking -- 5.5 Machine Learning Application for Modeling and Prediction in Turning -- 5.5.1 Tool Wear Size Modeling and Prediction -- 5.5.2 Modeling and Prediction of Workpiece Quality -- 5.6 Machine Learning Application for Modeling and Prediction of Tool Wear in Milling -- 5.6.1 Tool Wear Detection and Feature Extraction -- 5.7 Machine Learning Application for Process Monitoring and Tool Wear Detection in Deep Cold Rolling (DCR) -- 5.8 Conclusion -- References -- 6 Federated Learning for Advanced Manufacturing Based on Industrial IoT Data Analytics -- Abstract -- 6.1 Introduction -- 6.2 Background and Related Work -- 6.2.1 Industrial IoT for Smart Manufacturing -- 6.2.2 Localized Learning -- 6.2.3 Centralized Training for Smart Manufacturing -- 6.2.4 Federated Learning for Smart Manufacturing -- 6.2.4.1 Federated Learning-Privacy and Security -- 6.2.5 Multi-party Computation -- 6.2.5.1 Multi-party Computation-Challenges -- 6.2.6 Related Work-Federated Learning Framework -- 6.3 Proposed Architecture -- 6.3.1 Two-Phase MPC Enabled Federated Learning -- 6.3.2 System Architecture -- 6.3.2.1 Edge Computing. 6.3.2.2 IIoT Platform -- 6.3.2.3 Data Analytics System -- 6.3.3 Machine Learning Models -- 6.3.3.1 Artificial Neural Network -- 6.3.3.2 Logistic Regression -- 6.3.3.3 Support Vector Machine -- 6.3.4 Federated Learning -- 6.4 Experimental Evaluation -- 6.4.1 Use Cases -- 6.4.1.1 Use Case 1: Tool Wear Detection in Machining Machine -- 6.4.1.2 Use Case 2: Fault Detection in Electrical Machines -- 6.4.2 Experimental Settings -- 6.4.3 Evaluation Metrics -- 6.4.3.1 Comparative Analysis-Federated Versus Centralized Versus Local -- 6.4.3.2 Performance of ML Algorithms -- 6.4.4 Communication Cost -- 6.4.5 Execution Time -- 6.5 Conclusion and Future Work -- References -- 7 Generalized Anomaly Detection Algorithm Based on Time Series Statistical Features -- Abstract -- 7.1 Introduction -- 7.2 Literature Review on Fault Detection on Rotatory Machine -- 7.3 Experiment Methodology -- 7.3.1 Experiment Setup -- 7.3.2 Data Acquisition System -- 7.3.3 Statistical Features -- 7.4 Problem Formulation -- 7.4.1 Pseudo-Code of the Generic Machine Learning Algorithm -- 7.4.1.1 Features Result from the Analysis -- 7.5 Result in Discussion -- 7.6 Conclusions -- Acknowledgements -- References -- 8 Online Overall Equipment Effectiveness (OEE) Improvement Using Data Analytics Techniques for CNC Machines -- Abstract -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Methodology -- 8.3.1 Data-Driven OEE Modules -- 8.3.2 Data Collection -- 8.3.3 Remaining Useful Life -- 8.3.4 Quality Prediction Model -- 8.3.5 Machine Performance Prediction -- 8.3.6 OEE Calculation and Factor Analysis -- 8.4 System Implementation -- 8.4.1 Software Architecture -- 8.4.2 Data Analytic Service Implementation -- 8.4.3 OEE Before Using ML Prediction Models -- 8.4.4 OEE After Using ML Prediction Models -- 8.5 Conclusions -- Acknowledgements -- References. 9 A Review of Dynamic Scheduling: Context, Techniques and Prospects -- Abstract -- 9.1 Introduction -- 9.2 Context and Objective -- 9.2.1 Context of Scheduling -- 9.2.2 Objective of Scheduling -- 9.3 Dynamic Scheduling Approaches -- 9.3.1 Completely Reactive Approaches -- 9.3.2 Robust Proactive Approaches -- 9.3.3 Predictive-Reactive Approaches -- 9.4 Dynamic Scheduling Techniques -- 9.4.1 Heuristics -- 9.4.1.1 Schedule Repair Methods -- 9.4.1.2 Dispatching Rules -- 9.4.2 Meta-Heuristics -- 9.4.2.1 Genetic Algorithm -- 9.4.2.2 Particle Swarm Optimization -- 9.4.2.3 Ant Colony Optimization [136] -- 9.4.3 Machine Learning Based Approaches -- 9.4.3.1 Artificial Neural Network -- 9.4.3.2 Reinforcement Learning -- 9.4.4 Multi-agent System Approach -- 9.5 Summary and Research Direction -- References -- 10 Digital Twin Architecture and Development Trends on Manufacturing Topologies -- Abstract -- 10.1 Introduction -- 10.1.1 Background of the Need for Digital Twins -- 10.1.1.1 Digital Twin Evolution -- 10.1.1.2 DT-Enhanced Value Creation -- 10.1.2 Analysis of DT Fundamentals and Other 'Twin' Concepts -- 10.1.2.1 DT Components and Functionalities -- 10.1.2.2 Roadmap for Establishing a DT System -- 10.1.2.3 Variants of DT in Different Domains -- 10.1.3 Significance and Applications of DT -- 10.1.3.1 Technologies to Achieve DT-Enhanced Capabilities -- 10.1.3.2 DT Influence in Manufacturing and Alternate Sectors -- 10.2 Digital Twin-Driven Solutions to Enable Intelligent Manufacturing -- 10.2.1 DT Influence in Manufacturing and Alternate Sectors -- 10.2.2 DT Impact on Key Manufacturing Companies -- 10.3 Digital Twin-Driven Solutions to Enable Intelligent Manufacturing -- 10.3.1 Integrated Technologies in Model Factory -- 10.3.2 Model Factory @ARTC, Singapore -- 10.4 Challenges and Future Trends -- 10.4.1 Key Challenges Hindering Mass DT Adoption. 10.4.2 Potential Advancements in DT Capabilities. |
| Record Nr. | UNINA-9910483750803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing for Big Data
| Intelligent Computing for Big Data |
| Autore | Wang Wei |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (100 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
multimodal data
behavior recognition dog detection fusion model deep learning older people long-term care artificial intelligence blockchain technology decentralized architecture autism spectrum disorder (ASD) big data bioinformatics machine learning classification bio-inspired algorithms Grey Wolf Optimization (GWO) Support Vector Machine (SVM) convolution neural network spatio-temporal document document classification big text data proxy re-encryption blockchain storage proof-of-replication |
| ISBN | 3-0365-5878-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637792303321 |
|
Wang Wei
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information Processing with Matlab / / Xiu Zhang, Xin Zhang, and Wei Wang
| Intelligent Information Processing with Matlab / / Xiu Zhang, Xin Zhang, and Wei Wang |
| Autore | Zhang Xiu |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
| Descrizione fisica | 1 online resource (258 pages) |
| Disciplina | 620.00151 |
| Soggetto topico |
Artificial intelligence
Neural networks (Computer science) |
| ISBN | 981-9964-49-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Preface -- Acknowledgments -- Contents -- 1 Artificial Neural Network -- 1.1 Artificial Neuron -- 1.2 Overview of Artificial Neural Network -- 1.3 Backpropagation Neural Network -- 1.4 Hopfield Neural Network -- 1.5 Competitive Neural Network -- 1.6 Deep Neural Network -- References -- 2 Convolutional Neural Network -- 2.1 Overview of Convolutional Neural Network -- 2.2 Neural Network Performance Evaluation -- 2.3 Transfer Learning with Convolutional Neural Network -- 2.4 Research Progress of Neural Network -- References -- 3 Fuzzy Computing -- 3.1 Overview of Fuzzy Computing -- 3.2 Fuzzy Sets -- 3.3 Fuzzy Pattern Recognition -- 3.4 Fuzzy Clustering -- 3.5 Fuzzy Inference -- 3.6 Fuzzy Control System -- 3.7 Fuzzy Logic Designer -- References -- 4 Fuzzy Neural Network -- 4.1 Overview of Fuzzy Neural Network -- 4.2 Adaptive Fuzzy Neural Inference System -- 4.3 Time Series Prediction -- 4.4 Interval Type-2 Fuzzy Logic -- 4.5 Fuzzy C-means Clustering -- 4.6 Suburban Commuting Prediction Problem -- 4.7 Research Progress of Fuzzy Computing -- References -- 5 Evolutionary Computing -- 5.1 Overview of Evolutionary Computing -- 5.2 Simple Genetic Algorithm -- 5.3 Genetic Algorithm for Travelling Salesman Problem -- 5.4 Ant Colony Optimization Algorithm -- 5.5 Particle Swarm Optimization Algorithm -- 5.6 Differential Evolution Algorithm -- References -- 6 Testing and Evaluation of Evolutionary Computing -- 6.1 Test Set of Traveling Salesman Problem -- 6.2 Test Set of Continuous Optimization Problem -- 6.3 Evaluation of Continuous Optimization Problems -- 6.4 Artificial Bee Colony Algorithm -- 6.5 Fireworks Algorithm -- 6.6 Research Progress of Evolutionary Computing -- References. |
| Record Nr. | UNINA-9910751397603321 |
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Zhang Xiu
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| Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Kinematic differential geometry and saddle synthesis of linkages / / Delun Wang and Wei Wang
| Kinematic differential geometry and saddle synthesis of linkages / / Delun Wang and Wei Wang |
| Autore | Wang Delun |
| Pubbl/distr/stampa | Singapore : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (499 p.) |
| Disciplina | 516.36 |
| Soggetto topico |
Geometry, Differential
Kinematic geometry |
| ISBN |
1-118-25507-0
1-118-25505-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Acknowledgments; Chapter 1 Planar Kinematic Differential Geometry; 1.1 Plane Curves; 1.1.1 Vector Curve; 1.1.2 Frenet Frame; 1.1.3 Adjoint Approach; 1.2 Planar Differential Kinematics; 1.2.1 Displacement; 1.2.2 Centrodes; 1.2.3 Euler-Savary Equation; 1.2.4 Curvatures in Higher Order; 1.2.5 Line Path; 1.3 Plane Coupler Curves; 1.3.1 Local Characteristics; 1.3.2 Double Points; 1.3.3 Four-bar Linkage I; 1.3.4 Four-bar Linkage II; 1.3.5 Oval Coupler Curves; 1.3.6 Symmetrical Coupler Curves; 1.3.7 Distribution of Coupler Curves; 1.4 Discussion
2.3.2 Saddle CircleReferences; Chapter 2 Discrete Kinematic Geometry and Saddle Synthesis of Planar Linkages; 2.1 Matrix Representation; 2.2 Saddle Point Programming; 2.3 Saddle Circle Point; 2.3.1 Saddle Circle Fitting; 2.3.3 Four Positions; 2.3.4 Five Positions; 2.3.5 Multiple Positions; 2.3.6 Saddle Circle Point; 2.4 Saddle Sliding Point; 2.4.1 Saddle Line Fitting; 2.4.2 Saddle Line; 2.4.3 Three Positions; 2.4.4 Four Positions; 2.4.5 Multiple Positions; 2.4.6 Saddle Sliding Point; 2.5 The Saddle Kinematic Synthesis of Planar Four-bar Linkages; 2.5.1 Kinematic Synthesis 2.5.2 Crank-rocker Linkage2.5.3 Crank-slider Linkage; 2.6 The Saddle Kinematic Synthesis of Planar Six-bar Linkages with Dwell Function; 2.6.1 Six-bar Linkages; 2.6.2 Local Saddle Curve Fitting; 2.6.3 Dwell Function Synthesis; 2.7 Discussion; References; Chapter 3 Differential Geometry of the Constraint Curves and Surfaces; 3.1 Space Curves; 3.1.1 Vector Representations; 3.1.2 Frenet Trihedron; 3.2 Surfaces; 3.2.1 Elements of Surfaces; 3.2.2 Ruled Surfaces; 3.2.3 Adjoint Approach; 3.3 Constraint Curves and Surfaces; 3.4 Spherical and Cylindrical Curves; 3.4.1 Spherical Curves (S-S) 3.4.2 Cylindrical Curves (C-S)3.5 Constraint Ruled Surfaces; 3.5.1 Constant Inclination Ruled Surfaces (C'-P'-C); 3.5.2 Constant Axis Ruled Surfaces (C'-C); 3.5.3 Constant Parameter Ruled Surfaces (H-C, R-C); 3.5.4 Constant Distance Ruled Surfaces (S'-C); 3.7.3 Constant Inclination Curvature; 3.6 Generalized Curvature of Curves; 3.6.1 Generalized Curvature of Space Curves; 3.6.2 Spherical Curvature and Cylindrical Curvature; 3.7 Generalized Curvature of Ruled Surfaces; 3.7.1 Tangent Conditions; 3.7.2 Generalized Curvature; 3.7.4 Constant Axis Curvature; 3.8 Discussion; References Chapter 4 Spherical Kinematic Differential Geometry4.1 Spherical Displacement; 4.1.1 General Expression; 4.1.2 Adjoint Expression; 4.2 Spherical Differential Kinematics; 4.2.1 Spherical Centrodes (Axodes); 4.2.2 Curvature and Euler-Savary Formula; 4.3 Spherical Coupler Curves; 4.3.1 Basic Equation; 4.3.2 Double Point; 4.3.3 Distribution; 4.4 Discussion; References; Chapter 5 Discrete Kinematic Geometry and Saddle Synthesis of Spherical Linkages; 5.1 Matrix Representation; 5.2 Saddle Spherical Circle Point; 5.2.1 Saddle Spherical Circle Fitting; 5.2.2 Saddle Spherical Circle 5.2.3 Four Positions |
| Record Nr. | UNINA-9910140645003321 |
|
Wang Delun
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| Singapore : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Kinematic differential geometry and saddle synthesis of linkages / / Delun Wang and Wei Wang
| Kinematic differential geometry and saddle synthesis of linkages / / Delun Wang and Wei Wang |
| Autore | Wang Delun |
| Pubbl/distr/stampa | Singapore : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (499 p.) |
| Disciplina | 516.36 |
| Soggetto topico |
Geometry, Differential
Kinematic geometry |
| ISBN |
1-118-25507-0
1-118-25505-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Acknowledgments; Chapter 1 Planar Kinematic Differential Geometry; 1.1 Plane Curves; 1.1.1 Vector Curve; 1.1.2 Frenet Frame; 1.1.3 Adjoint Approach; 1.2 Planar Differential Kinematics; 1.2.1 Displacement; 1.2.2 Centrodes; 1.2.3 Euler-Savary Equation; 1.2.4 Curvatures in Higher Order; 1.2.5 Line Path; 1.3 Plane Coupler Curves; 1.3.1 Local Characteristics; 1.3.2 Double Points; 1.3.3 Four-bar Linkage I; 1.3.4 Four-bar Linkage II; 1.3.5 Oval Coupler Curves; 1.3.6 Symmetrical Coupler Curves; 1.3.7 Distribution of Coupler Curves; 1.4 Discussion
2.3.2 Saddle CircleReferences; Chapter 2 Discrete Kinematic Geometry and Saddle Synthesis of Planar Linkages; 2.1 Matrix Representation; 2.2 Saddle Point Programming; 2.3 Saddle Circle Point; 2.3.1 Saddle Circle Fitting; 2.3.3 Four Positions; 2.3.4 Five Positions; 2.3.5 Multiple Positions; 2.3.6 Saddle Circle Point; 2.4 Saddle Sliding Point; 2.4.1 Saddle Line Fitting; 2.4.2 Saddle Line; 2.4.3 Three Positions; 2.4.4 Four Positions; 2.4.5 Multiple Positions; 2.4.6 Saddle Sliding Point; 2.5 The Saddle Kinematic Synthesis of Planar Four-bar Linkages; 2.5.1 Kinematic Synthesis 2.5.2 Crank-rocker Linkage2.5.3 Crank-slider Linkage; 2.6 The Saddle Kinematic Synthesis of Planar Six-bar Linkages with Dwell Function; 2.6.1 Six-bar Linkages; 2.6.2 Local Saddle Curve Fitting; 2.6.3 Dwell Function Synthesis; 2.7 Discussion; References; Chapter 3 Differential Geometry of the Constraint Curves and Surfaces; 3.1 Space Curves; 3.1.1 Vector Representations; 3.1.2 Frenet Trihedron; 3.2 Surfaces; 3.2.1 Elements of Surfaces; 3.2.2 Ruled Surfaces; 3.2.3 Adjoint Approach; 3.3 Constraint Curves and Surfaces; 3.4 Spherical and Cylindrical Curves; 3.4.1 Spherical Curves (S-S) 3.4.2 Cylindrical Curves (C-S)3.5 Constraint Ruled Surfaces; 3.5.1 Constant Inclination Ruled Surfaces (C'-P'-C); 3.5.2 Constant Axis Ruled Surfaces (C'-C); 3.5.3 Constant Parameter Ruled Surfaces (H-C, R-C); 3.5.4 Constant Distance Ruled Surfaces (S'-C); 3.7.3 Constant Inclination Curvature; 3.6 Generalized Curvature of Curves; 3.6.1 Generalized Curvature of Space Curves; 3.6.2 Spherical Curvature and Cylindrical Curvature; 3.7 Generalized Curvature of Ruled Surfaces; 3.7.1 Tangent Conditions; 3.7.2 Generalized Curvature; 3.7.4 Constant Axis Curvature; 3.8 Discussion; References Chapter 4 Spherical Kinematic Differential Geometry4.1 Spherical Displacement; 4.1.1 General Expression; 4.1.2 Adjoint Expression; 4.2 Spherical Differential Kinematics; 4.2.1 Spherical Centrodes (Axodes); 4.2.2 Curvature and Euler-Savary Formula; 4.3 Spherical Coupler Curves; 4.3.1 Basic Equation; 4.3.2 Double Point; 4.3.3 Distribution; 4.4 Discussion; References; Chapter 5 Discrete Kinematic Geometry and Saddle Synthesis of Spherical Linkages; 5.1 Matrix Representation; 5.2 Saddle Spherical Circle Point; 5.2.1 Saddle Spherical Circle Fitting; 5.2.2 Saddle Spherical Circle 5.2.3 Four Positions |
| Record Nr. | UNINA-9910814016803321 |
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Wang Delun
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| Singapore : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Microfluidics for advanced functional polymeric materials / / Liang-Yin Chu and Wei Wang
| Microfluidics for advanced functional polymeric materials / / Liang-Yin Chu and Wei Wang |
| Autore | Chu Liang-Yin |
| Pubbl/distr/stampa | Weinheim, Germany : , : Wiley-VCH, , 2017 |
| Descrizione fisica | 1 online resource (335 pages) : illustrations |
| Disciplina | 532.05 |
| Soggetto topico | Microfluidics |
| ISBN |
3-527-80365-3
3-527-80366-1 3-527-80363-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910270914803321 |
|
Chu Liang-Yin
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| Weinheim, Germany : , : Wiley-VCH, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Microfluidics for advanced functional polymeric materials / / Liang-Yin Chu and Wei Wang
| Microfluidics for advanced functional polymeric materials / / Liang-Yin Chu and Wei Wang |
| Autore | Chu Liang-Yin |
| Pubbl/distr/stampa | Weinheim, Germany : , : Wiley-VCH, , 2017 |
| Descrizione fisica | 1 online resource (335 pages) : illustrations |
| Disciplina | 532.05 |
| Collana | THEi Wiley ebooks |
| Soggetto topico | Microfluidics |
| ISBN |
3-527-80365-3
3-527-80366-1 3-527-80363-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910808612103321 |
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Chu Liang-Yin
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| Weinheim, Germany : , : Wiley-VCH, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Oncoplastic surgery / / edited by Xiao Zhou, Yilin Cao, Wei Wang
| Oncoplastic surgery / / edited by Xiao Zhou, Yilin Cao, Wei Wang |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVIII, 552 p. 338 illus., 185 illus. in color.) |
| Disciplina | 617.952 |
| Collana | Plastic and Reconstructive Surgery |
| Soggetto topico |
Plastic surgery
Surgical oncology Plastic Surgery Surgical Oncology |
| ISBN | 981-10-3400-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | General remarks -- Microsurgical techniques -- All kinds of commonly used tissue flaps -- Defect repair after eyelid tumor surgery -- Defect repair after lip cancer surgery -- Defect repair after tongue cancer surgery -- Repair and reconstruction of penetrating defect in oral-maxillofacial area -- Repair and reconstruction of maxillary bone defects -- Repair and reconstruct of mandibular defects -- Defect repair after resection of the tumor of the external nose -- Repair of facial nerve paralysis after tumor surgery -- Defect repair after resection of scalp malignant tumors -- Repair and reconstruct of cranial and maxillofacial defects -- Defect repairs after resections of laryngeal cancer, hypopharyngeal cancer and cervical esophageal cancer -- Defect repair after breast cancer surgery -- Repair and reconstruction of defects after resection of chest wall and abdominal tumors -- Defect repair after resection of the upper limb malignant tumor -- Defect repair after resection of the malignant tumor of the lower limb -- Defect repair after genital malignant tumor surgery -- Application of skin soft tissue expansion in oncoplastic surgery -- Application of vascular surgical techniques in oncological surgery -- Tissue engineering and tumor surgery -- Prospects and problems of oncoplastic surgery. |
| Record Nr. | UNINA-9910300451503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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