{"product_id":"unmanned-aircraft-systems-hardback-9781394230617","title":"Unmanned Aircraft Systems (Hardback) 9781394230617","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eUnmanned Aircraft Systems\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eSachin Kumar Gupta (Edited by), Gupta (Author), Manoj Kumar (Edited by), Anand Nayyar (Edited by), Shubham Mahajan (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394230617, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 20 December 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e688 pages\u003cbr\u003e22.9 x 15.2 x 3.6 cm, 1.134 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThis book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eWith the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eUnmanned Aircraft Systems\u003c\/i\u003e contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Unmanned Aircraft Systems (UASs): Technology, Applications, and Challenges 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eTarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary and Shahanawaj Ahamad\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.1.1 Overview of Unmanned Aircraft Systems (UAS) 3\u003c\/p\u003e \u003cp\u003e1.1.2 Historical Development and Evolution of UAS 6\u003c\/p\u003e \u003cp\u003e1.1.3 Importance and Impact of UAS Technology 8\u003c\/p\u003e \u003cp\u003e1.2 UAS Fundamentals 11\u003c\/p\u003e \u003cp\u003e1.2.1 UAS Components and Architecture 11\u003c\/p\u003e \u003cp\u003e1.2.2 UAS Control and Navigation Systems 14\u003c\/p\u003e \u003cp\u003e1.3 Literature Review 16\u003c\/p\u003e \u003cp\u003e1.4 UAS Applications 20\u003c\/p\u003e \u003cp\u003e1.4.1 Military and Defense Applications 20\u003c\/p\u003e \u003cp\u003e1.4.2 Civil and Commercial Applications 21\u003c\/p\u003e \u003cp\u003e1.4.3 Scientific and Research Applications 22\u003c\/p\u003e \u003cp\u003e1.5 UAS Regulations and Challenges 24\u003c\/p\u003e \u003cp\u003e1.5.1 Regulatory Framework for UAS Operations 24\u003c\/p\u003e \u003cp\u003e1.5.1.1 National and International Regulations 24\u003c\/p\u003e \u003cp\u003e1.5.1.2 Licensing and Certification Requirements 26\u003c\/p\u003e \u003cp\u003e1.5.1.3 Airspace Integration and Traffic Management 27\u003c\/p\u003e \u003cp\u003e1.5.2 Safety and Security Considerations 29\u003c\/p\u003e \u003cp\u003e1.5.2.1 Collision Avoidance and Risk Mitigation 30\u003c\/p\u003e \u003cp\u003e1.5.2.2 Cybersecurity and Data Protection 30\u003c\/p\u003e \u003cp\u003e1.5.2.3 Emergency Procedures and Contingency Planning 30\u003c\/p\u003e \u003cp\u003e1.5.3 Ethical and Legal Challenges 31\u003c\/p\u003e \u003cp\u003e1.5.3.1 Privacy and Surveillance Concerns 31\u003c\/p\u003e \u003cp\u003e1.5.3.2 Liability and Accountability Issues 32\u003c\/p\u003e \u003cp\u003e1.5.3.3 Public Perception and Acceptance 32\u003c\/p\u003e \u003cp\u003e1.5.3.4 UAS Performance Metrics 32\u003c\/p\u003e \u003cp\u003e1.6 Technological Advancements and Future Trends 34\u003c\/p\u003e \u003cp\u003e1.6.1 Emerging Technologies in UAS 34\u003c\/p\u003e \u003cp\u003e1.6.1.1 AI and ml 34\u003c\/p\u003e \u003cp\u003e1.6.1.2 Swarming and Cooperative Systems 36\u003c\/p\u003e \u003cp\u003e1.6.1.3 Extended Flight Endurance and Range 37\u003c\/p\u003e \u003cp\u003e1.6.2 Integration of UAS with Other Technologies 38\u003c\/p\u003e \u003cp\u003e1.6.2.1 IoT and Sensor Networks 38\u003c\/p\u003e \u003cp\u003e1.6.2.2 5G and Communication Infrastructure 40\u003c\/p\u003e \u003cp\u003e1.6.2.3 Augmented Reality (AR) and Virtual Reality (vr) 43\u003c\/p\u003e \u003cp\u003e1.6.3 Future Applications and Impacts of UAS 45\u003c\/p\u003e \u003cp\u003e1.6.3.1 Urban Air Mobility and Air Taxi Services 45\u003c\/p\u003e \u003cp\u003e1.6.3.2 Medical Delivery and Emergency Response 47\u003c\/p\u003e \u003cp\u003e1.6.3.3 Space Exploration and Planetary Science 48\u003c\/p\u003e \u003cp\u003e1.7 Conclusion 50\u003c\/p\u003e \u003cp\u003e1.7.1 Summary of UAS Technology and Applications 51\u003c\/p\u003e \u003cp\u003e1.7.2 Key Challenges and Opportunities in the UAS Industry 52\u003c\/p\u003e \u003cp\u003e1.7.3 Prospects for Future Development and Adoption of UAS 54\u003c\/p\u003e \u003cp\u003e1.8 Future Scope 55\u003c\/p\u003e \u003cp\u003eReferences 56\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Enhancing the Effectiveness of Drones to Monitor Mars Surface Exploration: A Study 65\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarneet Kour, Sachin Kumar Gupta, Shachi Mall, Radha Raman Chandan, Mohd Najim and Pankaj Jain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 66\u003c\/p\u003e \u003cp\u003e2.2 UAVs’ Exploration on Earth’s Surface 68\u003c\/p\u003e \u003cp\u003e2.2.1 Surveillance 68\u003c\/p\u003e \u003cp\u003e2.2.2 Mapping and Cartography 70\u003c\/p\u003e \u003cp\u003e2.2.3 Environmental Monitoring 71\u003c\/p\u003e \u003cp\u003e2.2.4 Infrastructure Inspection 71\u003c\/p\u003e \u003cp\u003e2.2.5 Agriculture and Crop Monitoring 72\u003c\/p\u003e \u003cp\u003e2.3 UAVs’ Exploration on Mars’ Surface 73\u003c\/p\u003e \u003cp\u003e2.4 In-Depth Analysis of UAVs for Mission Planning and Safety: A Martian Body 76\u003c\/p\u003e \u003cp\u003e2.4.1 Mars Environment and Challenges 78\u003c\/p\u003e \u003cp\u003e2.4.2 Design Considerations for Martian UAVs 81\u003c\/p\u003e \u003cp\u003e2.4.3 Development 83\u003c\/p\u003e \u003cp\u003e2.5 Modeling and Simulation of Martian UAVs 85\u003c\/p\u003e \u003cp\u003e2.5.1 Path Planning and Navigation 87\u003c\/p\u003e \u003cp\u003e2.5.2 Image Processing and Data Analysis 88\u003c\/p\u003e \u003cp\u003e2.5.3 Communication and Data Transmission 89\u003c\/p\u003e \u003cp\u003e2.6 Conclusion and Future Scope 89\u003c\/p\u003e \u003cp\u003eReferences 90\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 IoT-Enabled UAV: A Comprehensive Review of Technological Change in Indian Farming 93\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRahul Joshi and Krishna Pandey\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 94\u003c\/p\u003e \u003cp\u003e3.1.1 Indian Perspective on Drone Technology 95\u003c\/p\u003e \u003cp\u003e3.2 Utilization of Drones in Agricultural Practices 97\u003c\/p\u003e \u003cp\u003e3.3 Types of Drones and Sensors 101\u003c\/p\u003e \u003cp\u003e3.3.1 Drones Based on Design 101\u003c\/p\u003e \u003cp\u003e3.3.2 Drones Based on Weight 103\u003c\/p\u003e \u003cp\u003e3.3.3 Drones Based on Sensors 105\u003c\/p\u003e \u003cp\u003e3.4 Agricultural Drone Industry in India 107\u003c\/p\u003e \u003cp\u003e3.4.1 An Overview of India’s Farming Drone Business 108\u003c\/p\u003e \u003cp\u003e3.4.2 Major Organizations in India’s Agricultural Drone Industry 109\u003c\/p\u003e \u003cp\u003e3.5 Competitive Analysis of the Drone Market in the Agriculture Sector in India 113\u003c\/p\u003e \u003cp\u003e3.5.1 Prominent International Stakeholders 113\u003c\/p\u003e \u003cp\u003e3.5.2 Strategic Approach Used by Market Players 114\u003c\/p\u003e \u003cp\u003e3.5.3 Newest Trends in the Indian Market 116\u003c\/p\u003e \u003cp\u003e3.5.4 Barriers to Entry in the Indian Market 118\u003c\/p\u003e \u003cp\u003e3.6 Revenue and Growth of the Indian Drone Market 120\u003c\/p\u003e \u003cp\u003e3.6.1 Past Revenue Patterns and Future Growth Forecasts for the Drone Industry in the Farming Sector 121\u003c\/p\u003e \u003cp\u003e3.6.2 Revenue-Growing Components 121\u003c\/p\u003e \u003cp\u003e3.7 Successful Case Studies of Agriculture Drone in India 123\u003c\/p\u003e \u003cp\u003e3.8 Regulatory Frameworks Impacting the Use of Drones in Agriculture 126\u003c\/p\u003e \u003cp\u003e3.8.1 Directorate General of Civil Aviation Guidelines for Farming Drones 126\u003c\/p\u003e \u003cp\u003e3.8.2 Restricted Zone for Drone Flying in India 128\u003c\/p\u003e \u003cp\u003e3.9 Conclusion and Future Directions 130\u003c\/p\u003e \u003cp\u003eReferences 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Applications of AI in UAVs Using In-Flight Parameters 137\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eYogesh Beeharry and Raviduth Ramful\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 138\u003c\/p\u003e \u003cp\u003e4.1.1 UAV Technology 139\u003c\/p\u003e \u003cp\u003e4.1.2 UAV Navigation Technology 141\u003c\/p\u003e \u003cp\u003e4.1.2.1 Autonomous Navigation Systems 142\u003c\/p\u003e \u003cp\u003e4.1.3 Artificial Intelligence for UAV Navigation 145\u003c\/p\u003e \u003cp\u003e4.1.4 Regression-Based Predictive Models 146\u003c\/p\u003e \u003cp\u003e4.1.4.1 Linear Regression 146\u003c\/p\u003e \u003cp\u003e4.1.4.2 Regression Decision Tree 146\u003c\/p\u003e \u003cp\u003e4.1.4.3 Ensemble of Regression Learners 148\u003c\/p\u003e \u003cp\u003e4.1.4.4 Gaussian Process Regression 148\u003c\/p\u003e \u003cp\u003e4.1.4.5 Kernel Regression 148\u003c\/p\u003e \u003cp\u003e4.1.4.6 Regression Neural Network 149\u003c\/p\u003e \u003cp\u003e4.1.4.7 Regression Support Vector Machine 150\u003c\/p\u003e \u003cp\u003e4.2 Methodology 151\u003c\/p\u003e \u003cp\u003e4.2.1 Existing Datasets for UAV Navigation 151\u003c\/p\u003e \u003cp\u003e4.2.1.1 UAV Delivery Dataset 151\u003c\/p\u003e \u003cp\u003e4.2.1.2 Hull Drone Indoor Navigation (HDIN) Dataset 151\u003c\/p\u003e \u003cp\u003e4.2.1.3 UAVVAste Dataset 151\u003c\/p\u003e \u003cp\u003e4.2.2 Selected Dataset 151\u003c\/p\u003e \u003cp\u003e4.2.3 System Model 153\u003c\/p\u003e \u003cp\u003e4.3 Results for Instantaneous Power versus Wind Speed 154\u003c\/p\u003e \u003cp\u003e4.3.1 Linear Regression Model 154\u003c\/p\u003e \u003cp\u003e4.3.2 Regression Decision Tree Model 155\u003c\/p\u003e \u003cp\u003e4.3.3 Ensemble of Regression Learners Model 157\u003c\/p\u003e \u003cp\u003e4.3.4 Gaussian Process Regression Model 158\u003c\/p\u003e \u003cp\u003e4.3.5 Kernel Regression Model 159\u003c\/p\u003e \u003cp\u003e4.3.6 Regression Neural Network Model 161\u003c\/p\u003e \u003cp\u003e4.3.7 Regression Support Vector Machine 162\u003c\/p\u003e \u003cp\u003e4.4 Results for Instantaneous Power versus Wind Speed and Wind Angle 163\u003c\/p\u003e \u003cp\u003e4.4.1 Linear Regression Model 163\u003c\/p\u003e \u003cp\u003e4.4.2 Regression Decision Tree Model 165\u003c\/p\u003e \u003cp\u003e4.4.3 Ensemble of Regression Learners Model 166\u003c\/p\u003e \u003cp\u003e4.4.4 Gaussian Process Regression Model 168\u003c\/p\u003e \u003cp\u003e4.4.5 Kernel Regression Model 169\u003c\/p\u003e \u003cp\u003e4.4.6 Regression Neural Network Model 170\u003c\/p\u003e \u003cp\u003e4.4.7 Regression Support Vector Machine Model 171\u003c\/p\u003e \u003cp\u003e4.5 Comparative Analysis of Results 174\u003c\/p\u003e \u003cp\u003e4.6 Conclusion and Future Scope 174\u003c\/p\u003e \u003cp\u003eReferences 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 AVFD: Autonomous Vision-Based Fleet Management for Drone Delivery Optimization in E-Commerce 181\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVu Duy Trung, Phuong Anh Nguyen, Toh Yan Chi, Phung Thao Vi, Satyam Mishra and Le Anh Ngoc\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 182\u003c\/p\u003e \u003cp\u003e5.2 Literature Review 185\u003c\/p\u003e \u003cp\u003e5.2.1 Overview of Drone Technology in E-Commerce 185\u003c\/p\u003e \u003cp\u003e5.2.2 Current Challenges in Drone Fleet Management for Last-Mile Delivery 186\u003c\/p\u003e \u003cp\u003e5.2.3 State-of-the-Art Machine Learning Algorithms for Drone Optimization 187\u003c\/p\u003e \u003cp\u003e5.2.4 Previous Studies on Face-Tracking and Line-Follower Drones 189\u003c\/p\u003e \u003cp\u003e5.3 Methodology 192\u003c\/p\u003e \u003cp\u003e5.3.1 Research Design and Approach 192\u003c\/p\u003e \u003cp\u003e5.3.2 Data Collection and Sources 193\u003c\/p\u003e \u003cp\u003e5.3.3 Programming Process 197\u003c\/p\u003e \u003cp\u003e5.3.4 Experimental Setup for Face-Tracking Drone Development 199\u003c\/p\u003e \u003cp\u003e5.3.5 Experimental Setup for Line-Follower Drone Development 204\u003c\/p\u003e \u003cp\u003e5.4 Results and Discussion 208\u003c\/p\u003e \u003cp\u003e5.4.1 Performance Analysis of Face-Tracker Drone 208\u003c\/p\u003e \u003cp\u003e5.4.2 Performance Analysis of Line-Follower Drone 211\u003c\/p\u003e \u003cp\u003e5.4.3 Comparison with Existing Solutions 213\u003c\/p\u003e \u003cp\u003e5.4.4 Interpretation of Findings 214\u003c\/p\u003e \u003cp\u003e5.5 Conclusion and Future Scope 215\u003c\/p\u003e \u003cp\u003eReferences 218\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 STEDSDR: Simulated Testing and Evaluation of Drone Surveillance for Disaster Response 225\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eYan Chi Toh, Phuong Anh Nguyen, Satyam Mishra, Vu Duy Trung, Phung Thao Vi and Le Anh Ngoc\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 226\u003c\/p\u003e \u003cp\u003e6.2 Literature Review 229\u003c\/p\u003e \u003cp\u003e6.3 Research Methodology 231\u003c\/p\u003e \u003cp\u003e6.3.1 Research Design 231\u003c\/p\u003e \u003cp\u003e6.3.2 Test Case Development 231\u003c\/p\u003e \u003cp\u003e6.3.3 Drone Platform and Equipment 232\u003c\/p\u003e \u003cp\u003e6.3.4 Surveillance and Mapping Software 234\u003c\/p\u003e \u003cp\u003e6.3.5 Test Execution 234\u003c\/p\u003e \u003cp\u003e6.3.6 Data Analysis 236\u003c\/p\u003e \u003cp\u003e6.3.7 Ethical Considerations 237\u003c\/p\u003e \u003cp\u003e6.3.8 Drone Surveillance 237\u003c\/p\u003e \u003cp\u003e6.3.9 Drone Mapping 239\u003c\/p\u003e \u003cp\u003e6.4 Data Collection and Analysis 241\u003c\/p\u003e \u003cp\u003e6.4.1 Data Collection 241\u003c\/p\u003e \u003cp\u003e6.4.2 Quantitative Analysis 247\u003c\/p\u003e \u003cp\u003e6.4.3 Key Results 251\u003c\/p\u003e \u003cp\u003e6.5 Results and Discussion 252\u003c\/p\u003e \u003cp\u003e6.6 Conclusion, Recommendations, and Future Scope 255\u003c\/p\u003e \u003cp\u003eReferences 258\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Review on Assessment of Land Degradation in Watershed Using Geospatial Technique Based on Unmanned Aircraft Systems 263\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSoumya Pandey, Neeta Kumari and Lovely Mallick\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 264\u003c\/p\u003e \u003cp\u003e7.1.1 Global Initiatives Towards Land Degradation 267\u003c\/p\u003e \u003cp\u003e7.2 Processes of Land Degradation 269\u003c\/p\u003e \u003cp\u003e7.2.1 Soil Loss 269\u003c\/p\u003e \u003cp\u003e7.2.2 Land Use Land Cover 271\u003c\/p\u003e \u003cp\u003e7.2.3 Climate Change 273\u003c\/p\u003e \u003cp\u003e7.2.4 Hydrological Cycles 274\u003c\/p\u003e \u003cp\u003e7.2.5 Salinization 275\u003c\/p\u003e \u003cp\u003e7.2.6 Heavy Metal Pollution 275\u003c\/p\u003e \u003cp\u003e7.2.7 Plastic Pollution 276\u003c\/p\u003e \u003cp\u003e7.3 Geospatial Application in Addressing the Land Degradation 277\u003c\/p\u003e \u003cp\u003e7.4 Components of Unmanned Aircraft Systems (UASs) 281\u003c\/p\u003e \u003cp\u003e7.5 Data Collection and Processing for UAVs 283\u003c\/p\u003e \u003cp\u003e7.5.1 Pre-Flight Planning 283\u003c\/p\u003e \u003cp\u003e7.5.2 Sensors 284\u003c\/p\u003e \u003cp\u003e7.5.2.1 Optical Sensors 285\u003c\/p\u003e \u003cp\u003e7.5.2.2 Fluorescence Sensors 285\u003c\/p\u003e \u003cp\u003e7.5.2.3 Thermal Infrared Sensors 286\u003c\/p\u003e \u003cp\u003e7.5.2.4 LiDAR Sensors 286\u003c\/p\u003e \u003cp\u003e7.5.2.5 Gas Sensors 287\u003c\/p\u003e \u003cp\u003e7.5.2.6 Photogrammetric Sensors 288\u003c\/p\u003e \u003cp\u003e7.5.3 Platforms—Advantages and Disadvantages 289\u003c\/p\u003e \u003cp\u003e7.5.3.1 Fixed-Wing UAS 289\u003c\/p\u003e \u003cp\u003e7.5.3.2 Multirotor UAS 290\u003c\/p\u003e \u003cp\u003e7.5.3.3 Hybrid UAS 292\u003c\/p\u003e \u003cp\u003e7.5.3.4 Tethered UAS 294\u003c\/p\u003e \u003cp\u003e7.6 Advantages of UAS Integrated with GIS for Land Degradation Monitoring 295\u003c\/p\u003e \u003cp\u003e7.6.1 Selection of UAS 296\u003c\/p\u003e \u003cp\u003e7.7 Application of UAV in Land Degradation Monitoring and Assessment 297\u003c\/p\u003e \u003cp\u003e7.8 Conclusion and Future Scope 298\u003c\/p\u003e \u003cp\u003eReferences 299\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Unmanned Aircraft Systems (UAS), Surveillance, Risk Management to Cybersecurity and Legal Regulation Landscape: Unraveling the Future Analysis, Challenges, Demand, and Benefits in the High Sky Exploring the Strange New World 313\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eBhupinder Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 314\u003c\/p\u003e \u003cp\u003e8.1.1 Significance of Unmanned Aircraft Systems (UASs): Exponential Growth Across Industries 315\u003c\/p\u003e \u003cp\u003e8.1.2 Unmanned Aircraft Systems (UASs): High Sky Exploring the Strange New World 317\u003c\/p\u003e \u003cp\u003e8.1.3 Scope of the Chapter 319\u003c\/p\u003e \u003cp\u003e8.2 Evolution of Unmanned Aircraft Systems: Origin and Widespread Applications in Commercial and Civilian Sectors 322\u003c\/p\u003e \u003cp\u003e8.2.1 Motivations for UAS Assimilation 325\u003c\/p\u003e \u003cp\u003e8.3 Surveillance Applications and Ethical Considerations: Advantages and Challenges Associated with Surveillance Operations 326\u003c\/p\u003e \u003cp\u003e8.4 Risk Management and Safety Aspects within the UAS Ecosystem 328\u003c\/p\u003e \u003cp\u003e8.5 Cybersecurity Risks and Challenges in UAS: Highlighting Vulnerabilities, Potential Threats, and Need for Robust Cybersecurity Measures to Protect UAS Systems from Hacking, Data Breaches, and Malicious Activities 331\u003c\/p\u003e \u003cp\u003e8.6 Legal and Regulatory Framework: Airspace Integration and Challenges of Creating Adaptable Frameworks to Accommodate Evolving UAS Technologies 334\u003c\/p\u003e \u003cp\u003e8.7 Benefits of UAS Adoption: Economic, Environmental, and Societal Advantages to Enhance Efficiency and Reduce Costs via Contributing Toward Agriculture, Logistics, and Disaster Management 337\u003c\/p\u003e \u003cp\u003e8.8 Challenges and Mitigation Strategies: UAS Integration and Offer Strategies to Mitigate Issues of Privacy Concerns, Regulatory Hurdles, Technological Limitations, and Public Perception 341\u003c\/p\u003e \u003cp\u003e8.8.1 International Collaboration and Standardization 344\u003c\/p\u003e \u003cp\u003e8.8.2 Ethical Considerations and Societal Implications 345\u003c\/p\u003e \u003cp\u003e8.9 Conclusion and Future Scope 346\u003c\/p\u003e \u003cp\u003eReferences 348\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Navigating the Future: Unmanned Aerial Systems in IoT Paradigms 355\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChandrakant Mahobiya, Sailesh Iyer, Mahendra Verma, Prabhat Ranjan Mishra and Shailendra Kumar Bohidar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 356\u003c\/p\u003e \u003cp\u003e9.1.1 Setting the Stage 356\u003c\/p\u003e \u003cp\u003e9.1.2 Importance of the Convergence 357\u003c\/p\u003e \u003cp\u003e9.2 The Anatomy of UAS and IoT 358\u003c\/p\u003e \u003cp\u003e9.2.1 Understanding UAS 359\u003c\/p\u003e \u003cp\u003e9.2.2 Capabilities 363\u003c\/p\u003e \u003cp\u003e9.2.3 Classifications 364\u003c\/p\u003e \u003cp\u003e9.2.4 Exploring IoT 364\u003c\/p\u003e \u003cp\u003e9.2.5 Architecture 365\u003c\/p\u003e \u003cp\u003e9.2.5.1 Device Layer 365\u003c\/p\u003e \u003cp\u003e9.2.5.2 Communication Layer 365\u003c\/p\u003e \u003cp\u003e9.2.5.3 Data Processing Layer 366\u003c\/p\u003e \u003cp\u003e9.2.5.4 Application Layer 366\u003c\/p\u003e \u003cp\u003e9.2.6 Type of Devices 367\u003c\/p\u003e \u003cp\u003e9.2.7 UAS as IoT Nodes 367\u003c\/p\u003e \u003cp\u003e9.2.8 History of UAS and IoT 368\u003c\/p\u003e \u003cp\u003e9.2.8.1 Unmanned Aerial Systems (UASs) 368\u003c\/p\u003e \u003cp\u003e9.2.8.2 Internet of Things (IoT) 369\u003c\/p\u003e \u003cp\u003e9.3 Technical Infrastructure 370\u003c\/p\u003e \u003cp\u003e9.3.1 Communication Protocols 370\u003c\/p\u003e \u003cp\u003e9.3.1.1 LoRaWAN 370\u003c\/p\u003e \u003cp\u003e9.3.1.2 25G 371\u003c\/p\u003e \u003cp\u003e9.3.1.3 ZigBee 371\u003c\/p\u003e \u003cp\u003e9.3.2 Data Management and Analytics 371\u003c\/p\u003e \u003cp\u003e9.3.2.1 Edge Computing 372\u003c\/p\u003e \u003cp\u003e9.3.2.2 Cloud Computing 373\u003c\/p\u003e \u003cp\u003e9.3.2.3 Data Analytics 373\u003c\/p\u003e \u003cp\u003e9.3.3 Security Measures 373\u003c\/p\u003e \u003cp\u003e9.3.4 Types of Drones and Its Applications 374\u003c\/p\u003e \u003cp\u003e9.4 Application and Use Cases 375\u003c\/p\u003e \u003cp\u003e9.4.1 Agriculture 376\u003c\/p\u003e \u003cp\u003e9.4.2 Public Safety 376\u003c\/p\u003e \u003cp\u003e9.4.3 Industrial Inspection 377\u003c\/p\u003e \u003cp\u003e9.4.4 Environmental Monitoring 377\u003c\/p\u003e \u003cp\u003e9.4.5 Media and Entertainment 377\u003c\/p\u003e \u003cp\u003e9.4.6 Delivery Services 377\u003c\/p\u003e \u003cp\u003e9.4.7 Surveying and Mapping 378\u003c\/p\u003e \u003cp\u003e9.4.8 Research and Development 378\u003c\/p\u003e \u003cp\u003e9.5 Ethical and Legal Dimensions 378\u003c\/p\u003e \u003cp\u003e9.5.1 Privacy Concerns 378\u003c\/p\u003e \u003cp\u003e9.5.2 Regulatory Aspects 379\u003c\/p\u003e \u003cp\u003e9.6 Challenges and Opportunities 379\u003c\/p\u003e \u003cp\u003e9.6.1 Technological Obstacles 380\u003c\/p\u003e \u003cp\u003e9.6.1.1 Battery Life 380\u003c\/p\u003e \u003cp\u003e9.6.1.2 Range 381\u003c\/p\u003e \u003cp\u003e9.6.1.3 Data Security 381\u003c\/p\u003e \u003cp\u003e9.7 Conclusion and Future Scope 382\u003c\/p\u003e \u003cp\u003eReferences 383\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Dynamic Modeling and Designing Robust MIMO Controller for Rudderless Flying-Wing UAVs 387\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSevda Rezazadeh Movahhed and Mohammad Ali Hamed\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 388\u003c\/p\u003e \u003cp\u003e10.2 Literature Review 391\u003c\/p\u003e \u003cp\u003e10.3 Materials and Methods 399\u003c\/p\u003e \u003cp\u003e10.3.1 Physical Model of Rudderless Flying-Wing UAV 399\u003c\/p\u003e \u003cp\u003e10.3.2 Coordinate System 400\u003c\/p\u003e \u003cp\u003e10.3.3 Equations of Motion 401\u003c\/p\u003e \u003cp\u003e10.3.4 Forces and Moments 402\u003c\/p\u003e \u003cp\u003e10.3.5 Linearized Equations of Motion 403\u003c\/p\u003e \u003cp\u003e10.3.5.1 Small-Disturbance Theory 403\u003c\/p\u003e \u003cp\u003e10.3.5.2 Longitudinal and Lateral Motions 404\u003c\/p\u003e \u003cp\u003e10.3.5.3 State-Space Form 404\u003c\/p\u003e \u003cp\u003e10.3.6 LQG\/LTR Method 406\u003c\/p\u003e \u003cp\u003e10.4 Proposed Methodology: LQG\/LTR Method 406\u003c\/p\u003e \u003cp\u003e10.4.1 Optimal State Estimator: Kalman Filter 407\u003c\/p\u003e \u003cp\u003e10.4.2 Optimal State Feedback Controller: LQR Method 407\u003c\/p\u003e \u003cp\u003e10.4.3 Output Feedback Closed-Loop System 408\u003c\/p\u003e \u003cp\u003e10.4.4 Loop Transfer Recovery 408\u003c\/p\u003e \u003cp\u003e10.4.4.1 Kalman Filter-Based Adjustment Approach 409\u003c\/p\u003e \u003cp\u003e10.4.4.2 LQR Controller-Based Adjustment Approach 410\u003c\/p\u003e \u003cp\u003e10.5 Results and Discussion 411\u003c\/p\u003e \u003cp\u003e10.5.1 Case Study 411\u003c\/p\u003e \u003cp\u003e10.5.2 Longitudinal System Setup 413\u003c\/p\u003e \u003cp\u003e10.5.3 Lateral System Setup 417\u003c\/p\u003e \u003cp\u003e10.5.4 Tracking Behavior and Control Signals 418\u003c\/p\u003e \u003cp\u003e10.5.4.1 Longitudinal Motion 419\u003c\/p\u003e \u003cp\u003e10.5.4.2 Lateral Motion 420\u003c\/p\u003e \u003cp\u003e10.5.5 Input Disturbance Rejection 421\u003c\/p\u003e \u003cp\u003e10.6 Conclusion and Future Scope 423\u003c\/p\u003e \u003cp\u003eReferences 424\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Enhancing Security for Unmanned Aircraft Systems in IoT Environments: Defense Mechanisms and Mitigation Strategies 429\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eC.V. Suresh Babu and Abhinaba Pal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 430\u003c\/p\u003e \u003cp\u003e11.1.1 Background 430\u003c\/p\u003e \u003cp\u003e11.1.2 Objective of Chapter 431\u003c\/p\u003e \u003cp\u003e11.1.3 Scope of the Chapter 433\u003c\/p\u003e \u003cp\u003e11.2 Security Challenges in IoT-Enabled UAS 434\u003c\/p\u003e \u003cp\u003e11.2.1 Complexity and Heterogeneity of IoT Systems 434\u003c\/p\u003e \u003cp\u003e11.2.2 Distributed Nature and Access Control Issues 436\u003c\/p\u003e \u003cp\u003e11.2.3 Authentication and Confidentiality Concerns 436\u003c\/p\u003e \u003cp\u003e11.2.4 Data Protection and Firmware Security 437\u003c\/p\u003e \u003cp\u003e11.3 Case Study: SkySoftware Incident 441\u003c\/p\u003e \u003cp\u003e11.3.1 Exploiting an Unprotected Communications Link 441\u003c\/p\u003e \u003cp\u003e11.3.2 Intercepting Live Video Feeds from U.S. Predator Drones 441\u003c\/p\u003e \u003cp\u003e11.3.3 Implications of the Security Breach 443\u003c\/p\u003e \u003cp\u003e11.4 GPS Spoofing Attacks on UAS 443\u003c\/p\u003e \u003cp\u003e11.4.1 Equipment Used and Basic Functioning 444\u003c\/p\u003e \u003cp\u003e11.4.2 Comprehending GPS Spoofing and Its Corresponding Techniques 447\u003c\/p\u003e \u003cp\u003e11.4.3 Effects on UAS Navigation and Control 454\u003c\/p\u003e \u003cp\u003e11.4.4 Limitations of GPS Spoofing and Mitigation Tactics 455\u003c\/p\u003e \u003cp\u003e11.5 Sensor Based Attacks on UAS 457\u003c\/p\u003e \u003cp\u003e11.5.1 Laser Attacks 457\u003c\/p\u003e \u003cp\u003e11.5.2 Mitigation Strategies 461\u003c\/p\u003e \u003cp\u003e11.6 Trust Architectures for UAS Security 462\u003c\/p\u003e \u003cp\u003e11.6.1 Application Layer Defensive Security Mechanisms (e.g., MQTT, CoAP) 462\u003c\/p\u003e \u003cp\u003e11.6.2 Direct Sequence Spread Spectrum (DSSS) and Frequency Hopping Spread Spectrum (FHSS) Techniques for Secure Drone-to-Drone Communication 465\u003c\/p\u003e \u003cp\u003e11.7 Subsequent Trends in UAS Security 469\u003c\/p\u003e \u003cp\u003e11.7.1 A Machine Learning Approach Promoting UAS Edge-Security and Performance 469\u003c\/p\u003e \u003cp\u003e11.8 Conclusion and Future Scope 470\u003c\/p\u003e \u003cp\u003eReferences 472\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Foldable Quadcopters: Design, Analysis, and Additive Manufacturing for Enhanced Aerial Mobility 477\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eYash H. Thummar and Mohammad Irfan Alam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Background and Introduction 478\u003c\/p\u003e \u003cp\u003e12.2 Design Methodology 483\u003c\/p\u003e \u003cp\u003e12.2.1 Selection of Frame 484\u003c\/p\u003e \u003cp\u003e12.2.2 Understanding the Flight Dynamics 486\u003c\/p\u003e \u003cp\u003e12.2.3 Creating the Base 487\u003c\/p\u003e \u003cp\u003e12.2.4 CAD Modeling 488\u003c\/p\u003e \u003cp\u003e12.2.5 Quadcopter Foldable Arm Design 489\u003c\/p\u003e \u003cp\u003e12.2.6 Thrust and Total Flight Time Calculation 491\u003c\/p\u003e \u003cp\u003e12.3 Analysis of Design 492\u003c\/p\u003e \u003cp\u003e12.3.1 Material Selection 493\u003c\/p\u003e \u003cp\u003e12.3.2 Loads and Constraints Estimation 493\u003c\/p\u003e \u003cp\u003e12.3.3 Static Stress Analysis 494\u003c\/p\u003e \u003cp\u003e12.4 Fabrication Using 3D Printing 494\u003c\/p\u003e \u003cp\u003e12.4.1 3D Printing Filament 496\u003c\/p\u003e \u003cp\u003e12.4.2 CAD Part Slicing 497\u003c\/p\u003e \u003cp\u003e12.4.3 Printing the Quadcopter Parts 500\u003c\/p\u003e \u003cp\u003e12.5 Components and Assembly 500\u003c\/p\u003e \u003cp\u003e12.6 Testing and Verification 506\u003c\/p\u003e \u003cp\u003e12.7 Making to the First Flight 510\u003c\/p\u003e \u003cp\u003e12.8 Discussions and Applications 512\u003c\/p\u003e \u003cp\u003e12.9 Conclusions and Future Scope 513\u003c\/p\u003e \u003cp\u003eReferences 514\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 A Perspective Analysis of UAV Flight Control Architecture Incorporating Ground Control Stations and Near-Actual Techniques 519\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eImran Mir, Muhammad Amir Tahir and Suleman Mir\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 520\u003c\/p\u003e \u003cp\u003e13.2 UAV Dynamics and Control Algorithms 523\u003c\/p\u003e \u003cp\u003e13.2.1 Flight Control Techniques 527\u003c\/p\u003e \u003cp\u003e13.2.2 Stability and Robustness 529\u003c\/p\u003e \u003cp\u003e13.3 Near-Actual Simulation Techniques 532\u003c\/p\u003e \u003cp\u003e13.3.1 Model-in-Loop Simulation 533\u003c\/p\u003e \u003cp\u003e13.3.2 Software-in-Loop Simulation 534\u003c\/p\u003e \u003cp\u003e13.3.3 Processor-in-Loop Simulation 536\u003c\/p\u003e \u003cp\u003e13.3.4 Hardware-in-Loop Simulation 537\u003c\/p\u003e \u003cp\u003e13.4 Visualization Software 541\u003c\/p\u003e \u003cp\u003e13.4.1 X-Plane 542\u003c\/p\u003e \u003cp\u003e13.4.2 FlightGear 542\u003c\/p\u003e \u003cp\u003e13.4.3 jMAVSim 544\u003c\/p\u003e \u003cp\u003e13.4.4 Gazebo 544\u003c\/p\u003e \u003cp\u003e13.5 Ground Control Station 545\u003c\/p\u003e \u003cp\u003e13.5.1 QGroundControl 547\u003c\/p\u003e \u003cp\u003e13.5.2 Mission Planner 547\u003c\/p\u003e \u003cp\u003e13.5.3 Universal Ground Control Software 549\u003c\/p\u003e \u003cp\u003e13.5.4 MAVProxy 549\u003c\/p\u003e \u003cp\u003e13.6 Existing Challenges 550\u003c\/p\u003e \u003cp\u003e13.7 Conclusion 552\u003c\/p\u003e \u003cp\u003e13.7.1 Future Directions 552\u003c\/p\u003e \u003cp\u003eReferences 554\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Optimal Transportation System Based on Adaptive Federated Learning Techniques for Healthcare IoV (HIoV) 563\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePallati Narsimhulu, Rashmi Sahay and Premkumar Chithaluru\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 564\u003c\/p\u003e \u003cp\u003e14.2 Impacts of AI\/ML\/FL Techniques in HIoV 579\u003c\/p\u003e \u003cp\u003e14.3 Research Challenges in IoV Transportation 592\u003c\/p\u003e \u003cp\u003e14.4 Comparative Study 598\u003c\/p\u003e \u003cp\u003e14.5 Conclusions and Future Scope 605\u003c\/p\u003e \u003cp\u003eReferences 606\u003c\/p\u003e \u003cp\u003eIndex 609\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mechanical engineering \u0026amp; materials [\u003ca title=\"See our other books on Mechanical engineering \u0026amp; materials\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mechanical%20engineering%20\u0026amp;%20materials%20%5BTG%5D%22\"\u003eTG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433221222680,"sku":"9781394230617","price":200.35,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394230617.jpg?v=1784852094","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/unmanned-aircraft-systems-hardback-9781394230617","provider":"Freshly Printed Books","version":"1.0","type":"link"}