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2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) : proceedings, October 17-19, 2017, Kyiv, Ukraine / / IEEE
| 2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) : proceedings, October 17-19, 2017, Kyiv, Ukraine / / IEEE |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2017 |
| Descrizione fisica | 1 online resource (277 pages) |
| Disciplina | 623.74 |
| Soggetto topico |
Drone aircraft
Navigation (Aeronautics) |
| ISBN | 1-5386-1817-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996279515503316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2018 International Conference on Unmanned Aircraft Systems : 12-15 June 2018, Dallas, TX, USA / / IEEE Control Systems Society
| 2018 International Conference on Unmanned Aircraft Systems : 12-15 June 2018, Dallas, TX, USA / / IEEE Control Systems Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (61 pages) |
| Disciplina | 623 |
| Soggetto topico |
Drone aircraft
Drone aircraft - Control systems Drone aircraft - Design and construction |
| ISBN | 1-5386-1354-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996279930303316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2018 International Conference on Unmanned Aircraft Systems : 12-15 June 2018, Dallas, TX, USA / / IEEE Control Systems Society
| 2018 International Conference on Unmanned Aircraft Systems : 12-15 June 2018, Dallas, TX, USA / / IEEE Control Systems Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (61 pages) |
| Disciplina | 623 |
| Soggetto topico |
Drone aircraft
Drone aircraft - Control systems Drone aircraft - Design and construction |
| ISBN | 1-5386-1354-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910284449403321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2019 International Conference on Computer and Drone Applications (IConDA) / / Institute of Electrical and Electronics Engineers
| 2019 International Conference on Computer and Drone Applications (IConDA) / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2019 |
| Descrizione fisica | 1 online resource (x, 61 pages) : illustrations (some color) |
| Disciplina | 623 |
| Soggetto topico | Drone aircraft |
| ISBN | 1-7281-6593-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2019 International Conference on Computer and Drone Applications |
| Record Nr. | UNINA-9910389463803321 |
| Piscataway, NJ : , : IEEE, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2019 International Conference on Computer and Drone Applications (IConDA) / / Institute of Electrical and Electronics Engineers
| 2019 International Conference on Computer and Drone Applications (IConDA) / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2019 |
| Descrizione fisica | 1 online resource (x, 61 pages) : illustrations (some color) |
| Disciplina | 623 |
| Soggetto topico | Drone aircraft |
| ISBN | 1-7281-6593-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2019 International Conference on Computer and Drone Applications |
| Record Nr. | UNISA-996574758903316 |
| Piscataway, NJ : , : IEEE, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2022 International Conference on Computer and Drone Applications (IConDA) / / Institute of Electrical and Electronics Engineers
| 2022 International Conference on Computer and Drone Applications (IConDA) / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2022 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 623.7469 |
| Soggetto topico | Drone aircraft |
| ISBN | 1-66549-235-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2022 International Conference on Computer and Drone Applications |
| Record Nr. | UNISA-996575268003316 |
| Piscataway, NJ : , : IEEE, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced UAV aerodynamics, flight stability, and control : novel concepts, theory and applications / / editors, Pascual Marques, Andrea Da Ronch
| Advanced UAV aerodynamics, flight stability, and control : novel concepts, theory and applications / / editors, Pascual Marques, Andrea Da Ronch |
| Pubbl/distr/stampa | Chichester, UK : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (xvii, 754 pages) : illustrations |
| Disciplina | 623.7469 |
| Collana | Aerospace Series |
| Soggetto topico | Drone aircraft |
| ISBN |
1-118-92870-9
1-5231-1560-2 1-118-92871-7 1-118-92869-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Series Preface -- Preface -- Companion Website -- Chapter 1 Advanced UAV Aerodynamics, Flight Stability and Control:: An Introduction -- 1.1 Unmanned Aircraft Aerodynamics -- 1.2 UAV Flight Stability and Control -- Chapter 2 Aerodynamics of UAV Configurations -- 2.1 Introduction -- 2.2 Emerging Technologies in UAV Aerodynamics -- 2.3 Aerodynamics and Stealth Compromises -- 2.4 Rotor Blade Tip Aerodynamics -- 2.5 Flight Dynamics of Canard Aircraft -- 2.6 Aerodynamics of the UCAV 1303 Delta‐wing Configuration -- 2.7 Flow Structure Modification using Plasma Actuators -- 2.8 Conclusion -- References -- Part I Novel Concepts in Unmanned Aircraft Aerodynamics -- 1.1 Fixed-wing (airplanes) -- Chapter 3 Aerodynamic Performance Analysis of Three Different Unmanned Re-entry Vehicles -- 3.1 Introduction -- 3.2 Vehicle Description -- 3.3 Flight Scenario and Flow‐regime Assessment -- 3.4 Rarefied and Transitional Regimes -- 3.5 Viscous-interaction Regime -- 3.6 High-temperature Real-gas Regime -- 3.7 Laminar-to-turbulent Transition Assessment -- 3.8 Design Approach and Tools -- 3.9 Aerodynamic Characterization -- 3.10 Low-order Methods Aerodynamic Results -- 3.11 CFD-based Aerodynamic Results -- References -- Chapter 4 Nonlinear Reduced-order Aeroservoelastic Analysis of Very Flexible Aircraft -- 4.1 Introduction -- 4.2 Large Coupled Computational Models -- 4.3 Coupled Reduced-order Models -- 4.4 Control System Design -- 4.5 Conclusion -- 4.6 Exercises -- References -- Chapter 5 Unmanned Aircraft Wind Tunnel Testing -- 5.1 Introduction -- 5.2 The Diana UAV Project -- 5.3 Experimental Facility -- 5.4 Force and Moment Measurements -- 5.5 Wind Tunnel and CFD Comparisons -- 5.6 Flow Visualization -- 5.7 Summary and Conclusions -- Acknowledgments -- References.
Chapter 6 Chord-dominated Ground-effect Aerodynamics of Fixed-wing UAVs -- 6.1 Introduction -- 6.2 Categories of Ground Effect -- 6.3 Chord-dominated Static Ground Effect -- 6.4 Chord-dominated Dynamic Ground Effect -- 6.5 Chord-dominated Mutational Ground Effect -- Acknowledgments -- References -- 1.2 Rotary-wing (helicopter) -- Chapter 7 Dynamics Modelling and System Identification of Small Unmanned Helicopters -- 7.1 Introduction -- 7.2 Model Development -- 7.3 System Identification -- 7.4 Basic Control Design -- 7.5 Conclusion -- Bibliography -- Chapter 8 Aerodynamic Derivative Calculation Using Radial Basis Function Neural Networks -- 8.1 Introduction -- 8.2 Helicopter Aerodynamic Derivatives -- 8.3 Radial Basis Function Neural Networks -- 8.4 The Delta Method -- 8.5 Parameter Estimation Using Simulated Data -- 8.6 Parameter Estimation Using Flight Data -- 8.7 Delta Method with Flight Data -- 8.8 Summary -- Acknowledgements -- References -- Chapter 9 Helicopter BERP Tip: Literature Review of Helicopter Blade Shape Optimisation Methods -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Summary -- Bibliography -- Chapter 10 Framework for the Optimisation of a Helicopter Rotor Blade with an Approximate BERP Tip: Numerical Methods and Application -- 10.1 Introduction -- 10.2 Numerical Methods -- 10.3 Optimisation Method -- 10.4 Parameterisation Technique -- 10.5 Grid and Geometry Generation -- 10.6 Flight Conditions -- 10.7 Hover Results -- 10.8 Forward Flight Results -- 10.9 Planform Optimisation -- 10.10 Summary and Conclusions -- Bibliography -- Chapter 11 Active Blade Twist in Rotary UAVs using Smart Actuation -- 11.1 Introduction -- 11.2 Actuation Concepts -- 11.3 Integral Twist Actuation -- 11.4 Summary -- References -- 1.3 Hybrid Aircraft. Chapter 12 Hybrid Aircraft Aerodynamics and Aerodynamic Design Considerations of Hover-to-Dash Convertible UAVs -- 12.1 Why Hover-to-Dash Conversion is Important -- 12.2 Aircraft Mission Profiles and Sizing Chart Structure -- 12.3 Convertible Coleopter Design, Wind Tunnel and Flight Testing -- 12.4 Future: Convertible QuadCopter Design and Flight Testing -- 12.5 The Extreme: Hover-to-Supersonic Dash Aircraft -- References -- PART II Novel Concepts in Unmanned Aircraft Flight Stability and Control -- 2.1 Fixed-wing (airplanes) -- Chapter 13 Closed-loop Active Flow Control for UAVs -- 13.1 Introduction -- 13.2 Objectives -- 13.3 Actuators -- 13.4 Linear System -- 13.5 Plant Model Identification -- 13.6 Controller Architecture -- 13.7 Conclusions -- Acknowledgement -- References -- Chapter 14 Autonomous Gust Alleviation in UAVs -- 14.1 Introduction -- 14.2 The Composite Spar -- 14.3 The Energy-harvesting and Storage Component -- 14.4 Reduced Energy Control Law -- 14.5 Gust Modelling -- 14.6 Experimental Validation -- 14.7 Performance -- 14.8 Other Considerations -- 14.9 Summary and Discussion -- Acknowledgement -- References -- Chapter 15 Virtual Flight Simulation using Computational Fluid Dynamics -- 15.1 Introduction -- 15.2 Aerodynamic Model for Flight Simulation -- 15.3 Generation of Tabular Aerodynamic Model -- 15.4 Time-accurate CFD for Flight Simulations -- 15.5 Conclusions -- References -- Chapter 16 Flow Structure Modification Using Plasma Actuation for Enhanced UAV Flight Control -- 16.1 Introduction -- 16.2 Aerodynamic Flow Control -- 16.3 Plasma Actuators -- 16.4 Dielectric Barrier Discharge -- 16.5 Experimental Setup -- 16.6 Results and Analysis -- 16.7 Conclusions -- Acknowledgments -- References -- Chapter 17 Constrained Motion Planning and Trajectory Optimization for Unmanned Aerial Vehicles -- 17.1 Introduction. 17.2 UAV Dynamics and Internal Constraints -- 17.3 Environmental Constraints -- 17.4 Off-line CMP -- 17.5 Real-time CMP -- 17.6 Variable Objective CMP -- 17.7 Summary and Conclusions -- References -- Chapter 18 Autonomous Space Navigation Using Nonlinear Filters with MEMS Technology -- 18.1 Introduction and Problem Statement -- 18.2 Concurrent Orbit and Attitude Determination -- 18.3 Concurrent Attitude and System Identification -- 18.4 Summary and Conclusions -- References -- Chapter 19 Adaptive Fault-tolerant Attitude Control for Spacecraft Under Loss of Actuator Effectiveness -- 19.1 Introduction -- 19.2 Mathematical Model of Flexible Spacecraft and Problem Formulation -- 19.3 Adaptive Backstepping Fault-Tolerant Controller Design -- 19.4 Numerical Simulations -- 19.5 Conclusion -- References -- 2.2 Quad-rotor Aircraft -- Chapter 20 Novel Concepts in Multi-rotor VTOL UAV Dynamics and Stability -- 20.1 Introduction -- 20.2 Multi-rotors -- 20.3 Novel Quad-rotor Concepts -- 20.4 Conclusions -- References -- Further reading -- Chapter 21 System Identification and Flight Control of an Unmanned Quadrotor -- 21.1 Introduction -- 21.2 Quadrotor System and Experimental Infrastructure Overview -- 21.3 System Identification Using CIFER -- 21.4 Flight Testing -- 21.5 System Identification Results and Discussion -- 21.6 Controller Modeling and Validation -- 21.7 Controller Optimization in CONDUIT -- 21.8 Conclusion -- References -- Index -- Supplemental Images -- EULA. |
| Record Nr. | UNINA-9910271042103321 |
| Chichester, UK : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced UAV aerodynamics, flight stability, and control : novel concepts, theory and applications / / editors, Pascual Marques, Andrea Da Ronch
| Advanced UAV aerodynamics, flight stability, and control : novel concepts, theory and applications / / editors, Pascual Marques, Andrea Da Ronch |
| Pubbl/distr/stampa | Chichester, UK : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (xvii, 754 pages) : illustrations |
| Disciplina | 623.7469 |
| Collana | Aerospace Series |
| Soggetto topico | Drone aircraft |
| ISBN |
1-118-92870-9
1-5231-1560-2 1-118-92871-7 1-118-92869-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Series Preface -- Preface -- Companion Website -- Chapter 1 Advanced UAV Aerodynamics, Flight Stability and Control:: An Introduction -- 1.1 Unmanned Aircraft Aerodynamics -- 1.2 UAV Flight Stability and Control -- Chapter 2 Aerodynamics of UAV Configurations -- 2.1 Introduction -- 2.2 Emerging Technologies in UAV Aerodynamics -- 2.3 Aerodynamics and Stealth Compromises -- 2.4 Rotor Blade Tip Aerodynamics -- 2.5 Flight Dynamics of Canard Aircraft -- 2.6 Aerodynamics of the UCAV 1303 Delta‐wing Configuration -- 2.7 Flow Structure Modification using Plasma Actuators -- 2.8 Conclusion -- References -- Part I Novel Concepts in Unmanned Aircraft Aerodynamics -- 1.1 Fixed-wing (airplanes) -- Chapter 3 Aerodynamic Performance Analysis of Three Different Unmanned Re-entry Vehicles -- 3.1 Introduction -- 3.2 Vehicle Description -- 3.3 Flight Scenario and Flow‐regime Assessment -- 3.4 Rarefied and Transitional Regimes -- 3.5 Viscous-interaction Regime -- 3.6 High-temperature Real-gas Regime -- 3.7 Laminar-to-turbulent Transition Assessment -- 3.8 Design Approach and Tools -- 3.9 Aerodynamic Characterization -- 3.10 Low-order Methods Aerodynamic Results -- 3.11 CFD-based Aerodynamic Results -- References -- Chapter 4 Nonlinear Reduced-order Aeroservoelastic Analysis of Very Flexible Aircraft -- 4.1 Introduction -- 4.2 Large Coupled Computational Models -- 4.3 Coupled Reduced-order Models -- 4.4 Control System Design -- 4.5 Conclusion -- 4.6 Exercises -- References -- Chapter 5 Unmanned Aircraft Wind Tunnel Testing -- 5.1 Introduction -- 5.2 The Diana UAV Project -- 5.3 Experimental Facility -- 5.4 Force and Moment Measurements -- 5.5 Wind Tunnel and CFD Comparisons -- 5.6 Flow Visualization -- 5.7 Summary and Conclusions -- Acknowledgments -- References.
Chapter 6 Chord-dominated Ground-effect Aerodynamics of Fixed-wing UAVs -- 6.1 Introduction -- 6.2 Categories of Ground Effect -- 6.3 Chord-dominated Static Ground Effect -- 6.4 Chord-dominated Dynamic Ground Effect -- 6.5 Chord-dominated Mutational Ground Effect -- Acknowledgments -- References -- 1.2 Rotary-wing (helicopter) -- Chapter 7 Dynamics Modelling and System Identification of Small Unmanned Helicopters -- 7.1 Introduction -- 7.2 Model Development -- 7.3 System Identification -- 7.4 Basic Control Design -- 7.5 Conclusion -- Bibliography -- Chapter 8 Aerodynamic Derivative Calculation Using Radial Basis Function Neural Networks -- 8.1 Introduction -- 8.2 Helicopter Aerodynamic Derivatives -- 8.3 Radial Basis Function Neural Networks -- 8.4 The Delta Method -- 8.5 Parameter Estimation Using Simulated Data -- 8.6 Parameter Estimation Using Flight Data -- 8.7 Delta Method with Flight Data -- 8.8 Summary -- Acknowledgements -- References -- Chapter 9 Helicopter BERP Tip: Literature Review of Helicopter Blade Shape Optimisation Methods -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Summary -- Bibliography -- Chapter 10 Framework for the Optimisation of a Helicopter Rotor Blade with an Approximate BERP Tip: Numerical Methods and Application -- 10.1 Introduction -- 10.2 Numerical Methods -- 10.3 Optimisation Method -- 10.4 Parameterisation Technique -- 10.5 Grid and Geometry Generation -- 10.6 Flight Conditions -- 10.7 Hover Results -- 10.8 Forward Flight Results -- 10.9 Planform Optimisation -- 10.10 Summary and Conclusions -- Bibliography -- Chapter 11 Active Blade Twist in Rotary UAVs using Smart Actuation -- 11.1 Introduction -- 11.2 Actuation Concepts -- 11.3 Integral Twist Actuation -- 11.4 Summary -- References -- 1.3 Hybrid Aircraft. Chapter 12 Hybrid Aircraft Aerodynamics and Aerodynamic Design Considerations of Hover-to-Dash Convertible UAVs -- 12.1 Why Hover-to-Dash Conversion is Important -- 12.2 Aircraft Mission Profiles and Sizing Chart Structure -- 12.3 Convertible Coleopter Design, Wind Tunnel and Flight Testing -- 12.4 Future: Convertible QuadCopter Design and Flight Testing -- 12.5 The Extreme: Hover-to-Supersonic Dash Aircraft -- References -- PART II Novel Concepts in Unmanned Aircraft Flight Stability and Control -- 2.1 Fixed-wing (airplanes) -- Chapter 13 Closed-loop Active Flow Control for UAVs -- 13.1 Introduction -- 13.2 Objectives -- 13.3 Actuators -- 13.4 Linear System -- 13.5 Plant Model Identification -- 13.6 Controller Architecture -- 13.7 Conclusions -- Acknowledgement -- References -- Chapter 14 Autonomous Gust Alleviation in UAVs -- 14.1 Introduction -- 14.2 The Composite Spar -- 14.3 The Energy-harvesting and Storage Component -- 14.4 Reduced Energy Control Law -- 14.5 Gust Modelling -- 14.6 Experimental Validation -- 14.7 Performance -- 14.8 Other Considerations -- 14.9 Summary and Discussion -- Acknowledgement -- References -- Chapter 15 Virtual Flight Simulation using Computational Fluid Dynamics -- 15.1 Introduction -- 15.2 Aerodynamic Model for Flight Simulation -- 15.3 Generation of Tabular Aerodynamic Model -- 15.4 Time-accurate CFD for Flight Simulations -- 15.5 Conclusions -- References -- Chapter 16 Flow Structure Modification Using Plasma Actuation for Enhanced UAV Flight Control -- 16.1 Introduction -- 16.2 Aerodynamic Flow Control -- 16.3 Plasma Actuators -- 16.4 Dielectric Barrier Discharge -- 16.5 Experimental Setup -- 16.6 Results and Analysis -- 16.7 Conclusions -- Acknowledgments -- References -- Chapter 17 Constrained Motion Planning and Trajectory Optimization for Unmanned Aerial Vehicles -- 17.1 Introduction. 17.2 UAV Dynamics and Internal Constraints -- 17.3 Environmental Constraints -- 17.4 Off-line CMP -- 17.5 Real-time CMP -- 17.6 Variable Objective CMP -- 17.7 Summary and Conclusions -- References -- Chapter 18 Autonomous Space Navigation Using Nonlinear Filters with MEMS Technology -- 18.1 Introduction and Problem Statement -- 18.2 Concurrent Orbit and Attitude Determination -- 18.3 Concurrent Attitude and System Identification -- 18.4 Summary and Conclusions -- References -- Chapter 19 Adaptive Fault-tolerant Attitude Control for Spacecraft Under Loss of Actuator Effectiveness -- 19.1 Introduction -- 19.2 Mathematical Model of Flexible Spacecraft and Problem Formulation -- 19.3 Adaptive Backstepping Fault-Tolerant Controller Design -- 19.4 Numerical Simulations -- 19.5 Conclusion -- References -- 2.2 Quad-rotor Aircraft -- Chapter 20 Novel Concepts in Multi-rotor VTOL UAV Dynamics and Stability -- 20.1 Introduction -- 20.2 Multi-rotors -- 20.3 Novel Quad-rotor Concepts -- 20.4 Conclusions -- References -- Further reading -- Chapter 21 System Identification and Flight Control of an Unmanned Quadrotor -- 21.1 Introduction -- 21.2 Quadrotor System and Experimental Infrastructure Overview -- 21.3 System Identification Using CIFER -- 21.4 Flight Testing -- 21.5 System Identification Results and Discussion -- 21.6 Controller Modeling and Validation -- 21.7 Controller Optimization in CONDUIT -- 21.8 Conclusion -- References -- Index -- Supplemental Images -- EULA. |
| Record Nr. | UNINA-9910824919803321 |
| Chichester, UK : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in aerial sensing and imaging / / edited by Sandeep Kumar [and five others]
| Advances in aerial sensing and imaging / / edited by Sandeep Kumar [and five others] |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc. |
| Descrizione fisica | 1 online resource (xiv, 415 pages) : illustrations, charts |
| Soggetto topico |
Imaging systems
Drone aircraft in remote sensing Drone aircraft |
| ISBN |
1-394-17551-5
1-394-17550-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope -- 1.1 Introduction -- 1.2 Literature Work -- 1.2.1 Based on Camera Axis -- 1.2.2 Based on Scale -- 1.2.3 Based on Sensor -- 1.3 Challenges of Object Detection and Classification in Aerial Images -- 1.4 Applications of Aerial Imaging in Various Domains -- 1.5 Conclusions and Future Scope -- 1.5.1 Conclusions -- 1.5.2 Future Scope -- References -- Chapter 2 Oriental Method to Predict Land Cover and Land Usage Using Keras with VGG16 for Image Recognition -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Materials and Methods -- 2.3.1 Dataset -- 2.3.2 Model Implemented -- 2.4 Discussion -- 2.5 Result Analysis -- 2.6 Conclusion -- References -- Chapter 3 Aerial Imaging Rescue and Integrated System for Road Monitoring Based on AI/ML -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Number of Accidents, Fatalities, and Injuries: 2016-2022 -- 3.3.1 Accidents Statistics in India -- 3.3.2 Accidents Statistics in Haryana -- 3.4 Proposed Methodology -- 3.4.1 ROI and Line Selection -- 3.4.2 Motion Detection -- 3.4.3 Single-Stage Clustering -- 3.4.4 Feature Fusion Process -- 3.4.5 Second-Stage Clustering -- 3.4.6 Tracking Objects -- 3.4.7 Classification -- 3.5 Result Analysis -- 3.6 Conclusion -- References -- Chapter 4 A Machine Learning Approach for Poverty Estimation Using Aerial Images -- 4.1 Introduction -- 4.2 Background and Literature Review -- 4.3 Proposed Methodology -- 4.3.1 Data Acquisition -- 4.3.2 Pre-Processing -- 4.3.3 Feature Extraction -- 4.3.4 Data Integration -- 4.3.5 Model Development -- 4.3.6 Validation -- 4.3.7 Visualization and Analysis -- 4.3.8 Policy and Program Development -- 4.4 Result and Discussion -- 4.5 Conclusion and Future Scope -- References.
Chapter 5 Agriculture and the Use of Unmanned Aerial Vehicles (UAVs): Current Practices and Prospects -- 5.1 Introduction -- 5.2 UAVs Classification -- 5.2.1 Comparison of Various UAVs -- 5.3 Agricultural Use of UAVs -- 5.4 UAVs in Livestock Farming -- 5.5 Challenges -- 5.6 Conclusion -- References -- Chapter 6 An Introduction to Deep Learning-Based Object Recognition and Tracking for Enabling Defense Applications -- 6.1 Introduction -- 6.2 Related Work -- 6.2.1 Importance of Object Monitoring and Surveillance in Defense -- 6.2.2 Need for Object Monitoring and Surveillance in Defense -- 6.2.3 Object Detection Techniques -- 6.2.4 Object Tracking Techniques -- 6.3 Experimental Methods -- 6.3.1 Experimental Setup and Dataset -- 6.3.2 DataSetVISdrone 2019 -- 6.3.3 Experimental Setup -- 6.4 Results and Outcomes -- 6.4.1 Comparison Results -- 6.4.2 Training Results -- 6.5 Conclusion -- 6.6 Future Scope -- References -- Chapter 7 A Robust Machine Learning Model for Forest Fire Detection Using Drone Images -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Proposed Methodology -- 7.4 Result and Discussion -- 7.5 Conclusion and Future Scope -- References -- Chapter 8 Semantic Segmentation of Aerial Images Using Pixel Wise Segmentation -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Proposed Method -- 8.3.1 Pixelwise Classification Method -- 8.3.2 Morphological Processing -- 8.4 Datasets -- 8.5 Results and Discussion -- 8.5.1 Analysis of the Proposed Method -- 8.6 Conclusion -- References -- Chapter 9 Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks: Mitigation Methods and UAV Security Recommendations -- 9.1 Introduction -- 9.2 Types of Ransomwares -- 9.3 History of Ransomware -- 9.4 Notable Ransomware Strains and Their Impact -- 9.4.1 CryptoLocker (2013) -- 9.4.2 CryptoWall (2014) -- 9.4.3 TeslaCrypt (2015) -- 9.4.4 Locky (2016). 9.4.5 WannaCry (2017) -- 9.4.6 NotPetya (2017) -- 9.4.7 Ryuk (2018) -- 9.4.8 REvil (2019) -- 9.4.9 Present-Day Ransomware Families -- 9.5 Mitigation Methods for Ransomware Attacks -- 9.6 Cybersecurity in UAVs (Unmanned Aerial Vehicles) -- 9.6.1 Introduction on FANETS -- 9.6.2 Network Security Concerning FANETs -- 9.6.3 UAV Security Enhancement -- 9.6.4 Limitations in UAVs -- 9.6.5 Future Scope -- 9.7 Experimental analysis of Wi-Fi Attack on Ryze Tello UAVs -- 9.7.1 Introduction -- 9.7.2 Methodology -- 9.8 Results and Discussion -- 9.9 Conclusion and Future Scope -- References -- Chapter 10 A Framework for Detection of Overall Emotional Score of an Event from the Images Captured by a Drone -- 10.1 Introduction -- 10.1.1 Need for Emotion Recognition -- 10.1.2 Applications of Drones in Deep Learning -- 10.2 Literature Review -- 10.3 Proposed Work -- 10.3.1 Extraction of Images from a Drone -- 10.3.2 Proposed CNN Model -- 10.4 Experimentation and Results -- 10.4.1 Dataset Description -- 10.5 Future Work and Conclusion -- References -- Chapter 11 Drone-Assisted Image Forgery Detection Using Generative Adversarial Net-Based Module -- 11.1 Introduction -- 11.2 Literature Survey -- 11.3 Proposed System -- 11.3.1 Common Forged Feature Network -- 11.3.2 Features Extraction -- 11.3.3 Features Classification and Classification Network -- 11.3.4 Label Prediction -- 11.3.5 Contrastive Learning -- 11.3.6 Binary Cross-Entropy Loss -- 11.4 Results -- 11.4.1 Experimental Settings -- 11.4.2 Performance Comparison -- 11.4.3 LBP Visualized Results -- 11.4.4 Training Convergence -- 11.5 Conclusion -- References -- Chapter 12 Optimizing the Identification and Utilization of Open Parking Spaces Through Advanced Machine Learning -- 12.1 Introduction -- 12.2 Proposed Framework Optimized Parking Space Identifier (OPSI) -- 12.2.1 Framework Components. 12.2.2 Learning Module: Adaptive Prediction of Parking Space Availability -- 12.2.3 System Design -- 12.2.4 Tools and Usage -- 12.2.5 Architecture -- 12.2.6 Implementation Techniques and Algorithms -- 12.2.7 Existing Methods and Workflow Model -- 12.2.8 Hyperparameter for OPSI -- 12.3 Potential Impact -- 12.3.1 Claims for the Accurate Detection of Fatigue -- 12.3.2 Similar Study and Results Analysis -- 12.4 Application and Results -- 12.4.1 Algorithm and Results -- 12.4.2 Implementation Using Python Modules -- 12.5 Discussion and Limitations -- 12.5.1 Discussion -- 12.5.2 Limitations -- 12.6 Future Work -- 12.6.1 Integration with Autonomous Vehicles -- 12.6.2 Real-Time Data Analysis -- 12.6.3 Integration with Smart Cities -- 12.7 Conclusion -- References -- Chapter 13 Graphical Password Authentication Using Python for Aerial Devices/Drones -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Methodology -- 13.4 A Brief Overview of a Drone and Authentication -- 13.4.1 Password Authentication -- 13.4.2 Types of Password Authentication Systems -- 13.4.3 Graphical Password Authentication -- 13.4.4 Advantages and Disadvantages of Graphical Passwords -- 13.5 Password Cracking -- 13.6 Data Analysis -- 13.7 Discussion -- 13.8 Conclusion and Future Scope -- References -- Chapter 14 A Study Centering on the Data and Processing for Remote Sensing Utilizing from Annoyed Aerial Vehicles -- 14.1 Introduction -- 14.2 An Acquisition Method for 3D Data Utilising Annoyed Aerial Vehicles -- 14.3 Background and Literature of Review -- 14.4 Research Gap -- 14.5 Methodology -- 14.6 Discussion -- 14.7 Conclusion -- References -- Chapter 15 Satellite Image Classification Using Convolutional Neural Network -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Objectives of this Research Work -- 15.3.1 Novelty of the Research Work -- 15.4 Description of the Dataset. 15.5 Theoretical Framework -- 15.6 Implementation and Results -- 15.6.1 Data Visualization -- 15.6.1.1 Class-Wise Data Count -- 15.6.1.2 Class-Wise Augmented Data Count -- 15.6.2 Implementation of MobileNetV3 -- 15.6.2.1 Visualization of a Sample of Training Images -- 15.6.2.2 Visualization of Executed Codes of MobileNetV3 -- 15.6.2.3 Training Results of MobileNetV3 -- 15.6.2.4 Classifications of Errors on Test Sets of MobileNetV3 -- 15.6.2.5 Confusion Matrix of MobileNetV3 -- 15.6.2.6 Classification Report of MobileNetV3 -- 15.6.3 Implementation of EfficientNetB0 -- 15.6.3.1 Visualization of a Sample of Training Images -- 15.6.3.2 Visualization of Executed Codes of EfficientNetB0 -- 15.6.3.3 Training Results of EfficientNetB0 -- 15.6.3.4 Classifications of Errors on Test Sets of EfficientNetB0 -- 15.6.3.5 Confusion Matrix of EfficientNetB0 -- 15.6.3.6 Classification Report of EfficientNetB0 -- 15.7 Conclusion and Future Scope -- References -- Chapter 16 Edge Computing in Aerial Imaging - A Research Perspective -- 16.1 Introduction -- 16.1.1 Edge Computing and Aerial Imaging -- 16.2 Research Applications of Aerial Imaging -- 16.2.1 Vehicle Imaging -- 16.2.2 Precision Agriculture -- 16.2.3 Environment Monitoring -- 16.2.4 Urban Planning and Development -- 16.2.5 Emergency Response -- 16.3 Edge Computing and Aerial Imaging -- 16.3.1 Research Perspective in Aerial Imaging -- 16.3.2 Edge Architectures -- 16.4 Comparative Analysis of the Aerial Imaging Algorithms and Architectures -- 16.5 Discussion -- 16.6 Conclusion -- References -- Chapter 17 Aerial Sensing and Imaging Analysis for Agriculture -- 17.1 Introduction -- 17.2 Experimental Methods and Techniques -- 17.3 Aerial Imaging and Sensing Applications in Agriculture -- 17.3.1 Assessing Yield and Fertilizer Response -- 17.3.2 Plant and Crop Farming -- 17.3.3 Soil and Field Analysis. 17.3.4 Weed Mapping and Management. |
| Record Nr. | UNINA-9910840858103321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc. | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Aerial play : drone medium, mobility, communication, and culture / / Julia M. Hildebrand
| Aerial play : drone medium, mobility, communication, and culture / / Julia M. Hildebrand |
| Autore | Hildebrand Julia M. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (220 pages) |
| Disciplina | 623.7469 |
| Collana | Geographies of Media |
| Soggetto topico |
Drone aircraft
Drone aircraft - Social aspects Aerial photography - Social aspects |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2195-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910495205803321 |
Hildebrand Julia M.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
