Autonomous Vehicles, Volume 1: Using Machine Intelligence

AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library. Table of Contents 2 Series Page 19 Title Page 20 Copyright Page 21 Preface 22 1 A Comprehensive Study on Cloud Computing and its Security Protocols and Performance Enhancement Using Artificial Intelligence 24 1.1 Introduction 25 1.2 Aim of the Study 26 1.3 Architecture of Cloud Computing 26 1.4 The Impact of Cloud Computing on Business 27 1.5 The Benefits of Cloud Computing on Business 29 1.6 Generic Security Protocol Features 29 1.7 Cloud Computing Security Protocol Design 30 1.8 AI Based Cloud Security 37 1.9 Various Neuronal Network Architectures and Their Types 41 1.10 Conclusion 41 Acknowledgement 41 References 42 2 The Role of Machine Learning and Artificial Intelligence in Detecting the Malicious Use of Cyber Space 45 2.1 Introduction 46 2.2 Aim of the Study 47 2.3 Motivation for the Study 47 2.4 Detecting the Dark Web 50 2.5 Preventing the Dark Web 51 2.6 Recommendations 56 2.7 Conclusion 59 Acknowledgement 59 References 59 3 Advanced Rival Combatant LIDAR-Guided Directed Energy Weapon Application System Using Hybrid Machine Learning 63 3.1 Introduction 63 3.2 Aim of the Study 64 3.3 Motivation for the Study 64 3.4 Nature of LASERS 66 3.5 Ongoing Laser Weapon Projects 67 3.6 Directed Energy Weapons (DEWs) 68 3.7 LIDAR Guided LASER Weapon System (LaWS) Requirements 72 3.8 Methodology 73 3.9 Conclusion 74 Acknowledgement 75 References 75 4 An Impact on Strategical Advancement and Its Analysis of Training the Autonomous Unmanned Aerial Vehicles in Warfare [Theme - RPA and Machine Learning] 79 4.1 Introduction 80 4.2 Aim of the Study 82 4.3 Motivation for the Study 82 4.4 Supervised and Unsupervised Machine Learning for UAVs 83 4.5 Unsupervised Solution 87 4.6 Conclusion 91 4.7 Scope for the Future Work 92 Acknowledgement 92 References 92 5 FLASH: Web-Form’s Logical Analysis & Session Handling Automatic Form Classification and Filling on Surface and Dark Web 96 5.1 Introduction 96 5.2 Literature Review 97 5.3 How FLASH Offers Better Results 104 5.4 Methodology 104 5.5 Results 110 5.6 Limitations and Future Work 117 5.7 Conclusion 118 References 118 6 Performance Analysis of Terahertz Microstrip Antenna Designs: A Review 121 6.1 Introduction 121 6.2 Microstrip Antenna Design 123 6.3 Challenges of Terahertz Antenna Development 127 6.4 Antenna Performance Attributes 128 6.5 Comparative Analysis of Microstrip THZ Antennas 130 6.6 Conclusion 132 References 133 7 Smart Antenna for Home Automation Systems 138 7.1 Introduction 139 7.2 Home Automation Antenna Geometry and Robotics Process Automation 140 7.3 Results for Home Automation Smart Antenna 145 7.4 Conclusion 151 References 152 8 Special Military Application Antenna for Robotics Process Automation 156 8.1 Introduction 157 8.2 Special Military Application Antenna for Robotics Process Automation 158 8.3 Results for Special Military Application Antenna 163 8.4 Conclusion 171 References 172 9 Blockchain Based Humans-Agents Interactions/Human-Robot Interactions: A Systematic Literature Review and Research Agenda 177 9.1 Introduction 177 9.2 Conceptual Foundation 182 9.3 Motivation 186 9.4 Blockchain and Robotics Overview 187 9.5 Human-Robot Interaction 189 9.6 Applications of HRI 194 9.7 Transactions between Robots and Human Beings 198 9.8 Escrow Services 202 9.9 Challenges for HRI 203 9.10 Discussion and Future Work 205 9.11 Conclusion 208 References 208 10 Secured Automation in Business Processes 211 10.1 Introduction 211 10.2 Literature Survey 213 10.3 Background 219 10.4 Proposed Model 220 10.5 Analysis of the Work 223 10.6 Conclusion 224 References 225 11 Future of Business Organizations Based on Robotic Process Automation: A Review 228 11.1 Introduction 229 11.2 Literature Review 229 11.3 Technology: A Need of Robotic Process Automation 233 11.4 Business Enterprise 234 11.5 Conclusion and Future Scope 234 References 235 12 Comparative Overview of FER Methods for Human-Robot Interaction Using Review Analysis 238 12.1 Introduction 239 12.2 FER Method Review Based Analysis 240 12.3 Feature Extraction Techniques 241 12.4 Conclusion 244 References 244 13 Impact of Artificial Intelligence on Medical Science Post Covid 19 Pandemic 247 13.1 Introduction 248 13.2 Types of AI Relevant to Healthcare 248 13.3 Diagnosis and Treatment Application 252 13.4 Limitation of Artificial Intelligence in Medical Science 254 13.5 The Future of AI in Healthcare 257 13.6 Conclusion 258 References 259 14 Revolutionizing Modern Automated Technology with WEB 3.0 264 14.1 Introduction 264 14.2 What is WEB 3.0: Definitions 265 14.3 Features & Characteristics 267 14.4 Implementation 269 14.5 Inventions around Modern Technology 272 14.6 Conclusion 276 Acknowledgement 276 References 276 15 The Role of Artificial Intelligence, Blockchain, and Internet of Things in Next Generation Machine Based Communication 281 15.1 Introduction 281 15.2 Blockchain 283 15.3 Internet of Things 285 15.4 Convergence of Blockchain, Internet of Things, and Artificial Intelligence 287 15.5 Block Chain for Vehicular IoT 294 15.6 Convergence of IoT with Cyber-Physical Systems 296 15.7 Conclusion 298 References 299 16 Robots, Cyborgs, and Modern Society: Future of Society 5.0 304 16.1 Introduction 305 16.2 Comparing Humans, Cyborgs, and Robots 305 16.3 Some Philosophical Aspects 307 16.4 Reproduction or Replication 308 16.5 Future of our Society 309 16.6 Implications 314 16.7 Conclusion 317 References 319 17 Security and Privacy of Blockchain-Based Robotics System 324 17.1 Introduction 325 17.2 Security and Privacy Concerns 327 17.3 Security and Privacy Requirements 329 17.4 Consensus Algorithms 331 17.5 Privacy and Security Techniques 337 17.6 Conclusion 340 References 340 18 Digital Footprints: Opportunities and Challenges for Online Robotic Technologies 345 18.1 Introduction 346 18.2 Proposed Methodology 353 18.3 Conclusion 354 Acknowledgement 354 References 355 19 SOCIAL MEDIA: The 21st Century’s Latest Addiction Detracted Using Robotic Technology 358 19.1 Introduction 358 19.2 Proposed Methodology 359 19.3 Importance and Value of Internet 360 19.4 Effects of Online Addiction on Society 361 19.5 Challenges to Reduce Social Media Addiction 366 19.6 Challenges Future Impact of Social Media Addiction on Youth 367 19.7 Conclusion 368 Acknowledgement 369 References 369 20 Future of Digital Work Force in Robotic Process Automation 373 20.1 Introduction 374 20.2 Robotic Process Automation 378 20.3 Robotic Process Automation Operations 380 20.4 RPA-Operating Model Design 382 20.5 Who is Who in RPA Business? 384 20.6 Conclusion 390 References 391 21 Evolutionary Survey on Robotic Process Automation and Artificial Intelligence: Industry 4.0 395 21.1 Introduction 395 21.2 Robotic Process Automation 395 21.3 Artificial Intelligence and Industry 4.0 396 21.4 RPA Tools with IA Support 396 21.5 RPA Tools with IA Support 398 21.6 Conclusions 399 References 399 22 Advanced Method of Polygraphic Substitution Cipher Using an Automation System for Non-Invertible Matrices Key 403 22.1 Introduction 404 22.2 Significance of Advanced Methods of a Polygraphic Substitution Cipher 405 22.3 Related Work 406 22.4 Proposed Methodology 409 22.5 Exploration 412 22.6 Conclusions 413 References 413 23 Intelligence System and Internet of Things (IoT) Based Smart Manufacturing Industries 416 23.1 Introduction 417 23.2 Development of Artificial Intelligence 417 23.3 AI Evolution from Intelligent Manufacturing to Smart Manufacturing 421 23.4 IM and SM Comparison 425 23.5 Further Smart Manufacturing Development for Industry 4.0 429 23.6 Conclusion 432 References 433 24 E-Healthcare Systems Based on Blockchain Technology with Privacy 437 24.1 Introduction 437 24.2 Blockchains in Healthcare 439 24.3 Regulations and EHR Privacy 442 24.4 Issues with Migration 444 24.5 Blockchains: Unified or Multiple 447 24.6 Formation of a Unanimity 450 24.7 Access Control & Users 452 24.8 Conclusion 454 References 455 25 An Intelligent Machine Learning System Based on Blockchain for Smart Health Care 458 25.1 Introduction 458 25.2 Review of Literature 459 25.3 Use of Blockchain in the Healthcare System 460 25.4 Machine Learning Algorithms in the Medical Industry 466 25.5 Blockchain and Artificial Intelligence Solutions 467 25.6 Conclusions 469 References 469 26 Industry 4.0 Uses Robotic Methodology in Mechanization Based on Artificial Intelligence 473 26.1 Introduction 474 26.2 Mechanization of Robotic Processes 474 26.3 Industry 4.0 and Artificial Intelligence 475 26.4 RPM Outfits that Sustenance Artificial Intelligence 476 26.5 Discussion 480 26.6 Conclusions 482 References 483 27 RPA Using UiPATH in the Context of Next Generation Automation 487 27.1 Introduction 487 27.2 Traditional Approach vs RPA Approach 488 27.3 Related Work 489 27.4 Applications of RPA 491 27.5 Intelligent Process Automation 499 27.6 RPA and Blockchain 507 27.7 Implementation 509 27.8 Conclusion 517 References 517 About the Editors 522 Index 527 Also of Interest 529 End User License Agreement 532 ROBOTIC PROCESS AUTOMATION Presenting the latest technologies and practices in this ever-changing field, this groundbreaking new volume covers the theoretical challenges and practical solutions for using robotics across a variety of industries, encompassing many disciplines, including mathematics, computer science, electrical engineering, information technology, mechatronics, electronics, bioengineering, and command and software engineering. Robotics is the study of creating devices that can take the place of people and mimic their behaviors. Mechanical engineering, electrical engineering, information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, and other subjects are all included in robotics. Robots can be employed in a variety of scenarios and for a variety of objectives, but many are now being used in hazardous areas (such as radioactive material inspection, bomb detection, and deactivation), manufacturing operations, or in conditions where humans are unable to live (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation). Walking, lifting, speaking, cognition, and any other human activity are all attempted by robots. Many of today's robots are influenced by nature, making bio-inspired robotics a growing area. Defusing explosives, seeking survivors in unstable ruins, and investigating mines and shipwrecks are just a few of the activities that robots are designed to undertake. This groundbreaking new volume presents a Robotic Process Automation (RPA) software technique that makes it simple to create, deploy, and manage software robots that mimic human movements while dealing with digital systems and software. Software robots can interpret what's on a screen, type the correct keystrokes, traverse systems, locate and extract data, and do a wide variety of predetermined operations, much like people. Software robots can do it quicker and more reliably than humans, without having to stand up and stretch or take a coffee break.