Drone Data Analytics in Aerial Computing

Drone Data Analytics in Aerial Computing PDF Author: P. Karthikeyan
Publisher: Springer Nature
ISBN: 9819950562
Category : Technology & Engineering
Languages : en
Pages : 282

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Book Description
This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department.

Drone Data Analytics in Aerial Computing

Drone Data Analytics in Aerial Computing PDF Author: P. Karthikeyan
Publisher: Springer Nature
ISBN: 9819950562
Category : Technology & Engineering
Languages : en
Pages : 282

Get Book

Book Description
This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department.

Unmanned Aerial Vehicles for Internet of Things (IoT)

Unmanned Aerial Vehicles for Internet of Things (IoT) PDF Author: Vandana Mohindru
Publisher: John Wiley & Sons
ISBN: 1119768829
Category : Computers
Languages : en
Pages : 322

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Book Description
UNMANNED AERIAL VEHICLES FOR INTERNET OF THINGS This comprehensive book deeply discusses the theoretical and technical issues of unmanned aerial vehicles for deployment by industries and civil authorities in Internet of Things (IoT) systems. Unmanned aerial vehicles (UAVs) has become one of the rapidly growing areas of technology, with widespread applications covering various domains. UAVs play a very important role in delivering Internet of Things (IoT) services in small and low-power devices such as sensors, cameras, GPS receivers, etc. These devices are energy-constrained and are unable to communicate over long distances. The UAVs work dynamically for IoT applications in which they collect data and transmit it to other devices that are out of communication range. Furthermore, the benefits of the UAV include deployment at remote locations, the ability to carry flexible payloads, reprogrammability during tasks, and the ability to sense for anything from anywhere. Using IoT technologies, a UAV may be observed as a terminal device connected with the ubiquitous network, where many other UAVs are communicating, navigating, controlling, and surveilling in real time and beyond line-of-sight. The aim of the 15 chapters in this book help to realize the full potential of UAVs for the IoT by addressing its numerous concepts, issues and challenges, and develops conceptual and technological solutions for handling them. Applications include such fields as disaster management, structural inspection, goods delivery, transportation, localization, mapping, pollution and radiation monitoring, search and rescue, farming, etc. In addition, the book covers: Efficient energy management systems in UAV-based IoT networks IoE enabled UAVs Mind-controlled UAV using Brain-Computer Interface (BCI) The importance of AI in realizing autonomous and intelligent flying IoT Blockchain-based solutions for various security issues in UAV-enabled IoT The challenges and threats of UAVs such as hijacking, privacy, cyber-security, and physical safety. Audience: Researchers in computer science, Internet of Things (IoT), electronics engineering, as well as industries that use and deploy drones and other unmanned aerial vehicles.

UAVs and Urban Spatial Analysis

UAVs and Urban Spatial Analysis PDF Author: Tony H. Grubesic
Publisher: Springer Nature
ISBN: 3030358658
Category : Science
Languages : en
Pages : 206

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Book Description
This book provides an introduction to the use of unmanned aerial vehicles (UAVs) for the geographic observation and spatial analysis of urban areas. The velocity of urban change necessitates observation platforms that not only enhance situational awareness for planning and allied analytical efforts, but also provide the ability to rapidly and inexpensively collect data and monitor change. UAVs can accomplish both of these tasks, but their use in urban environments is loaded with social, operational, regulatory and technical challenges that must be addressed for successful deployments. The book provides a resource for educators and students who work with geographic information and are seeking to enhance these data with the use of unmanned aerial vehicles. Topics covered include, 1) a primer on UAVs and the many different ways they can be used for geographic observation, 2) a detailed overview on the use of aviation maps and charts for operating UAVs in complex urban airspace, 3) techniques for integrating UAV-derived data with more traditional geographic information, 4) application of spatial analytical tools for urban and environmental planning, and 5) an exploration of privacy and public safety issues associated with UAV operation.

Advances in Aerial Sensing and Imaging

Advances in Aerial Sensing and Imaging PDF Author: Sandeep Kumar
Publisher: John Wiley & Sons
ISBN: 1394174691
Category : Computers
Languages : en
Pages : 436

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Book Description
Advances in Aerial Sensing and Imaging This groundbreaking book is a comprehensive guide to the technology found in the complex field of aerial sensing and imaging, and the real-world challenges that stem from its growing significance and demand. The advent of unmanned aerial vehicles (UAVs), or drones, along with advancements in sensor technology and image processing techniques, has further enhanced the capabilities and applications of aerial sensing and imaging. These developments have opened up new research, innovation, and exploration avenues. Aerial sensing and imaging have rapidly evolved over the past few decades and have revolutionized several fields, including land cover and usage prediction, crop and livestock management, road accident monitoring, poverty estimation, defense, agriculture, forest fire detection, UAV security issues, and open parking management. This book provides a comprehensive understanding and knowledge of the underlying technology and its practical applications in different domains. Audience Computer science and artificial intelligence researchers working in the fields of aerial sensing and imaging, as well as professionals working in industries such as agriculture, geology, surveying, urban planning, disaster response, etc; this book provides them with practical guidance and instruction on how to apply aerial sensing and imaging for various purposes and stay up-to-date with the latest developments in the domain.

Unmanned Aerial Vehicles in Smart Cities

Unmanned Aerial Vehicles in Smart Cities PDF Author: Fadi Al-Turjman
Publisher: Springer Nature
ISBN: 3030387127
Category : Technology & Engineering
Languages : en
Pages : 193

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Book Description
This book addresses the major challenges in realizing unmanned aerial vehicles (UAVs) in IoT-based Smart Cities. The challenges tackled vary from cost and energy efficiency to availability and service quality. The aim of this book is to focus on both the design and implementation aspects of the UAV-based approaches in IoT-enabled smart cities’ applications that are enabled and supported by wireless sensor networks, 5G, and beyond. The contributors mainly focus on data delivery approaches and their performability aspects. This book is meant for readers of varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies. Involves the most up to date unmanned aerial vehicles (UAV) assessment and evaluation approaches Includes innovative operational ideas in agriculture, surveillance, rescue, etc. Pertains researchers, scientists, engineers and practitioners in the field of smart cities, IoT, and communications Fadi Al-Turjman received his Ph.D. from Queen’s University, Canada. He is a full professor and a research center director at Near East University, Nicosia. He is a leading authority in the area of IoT and intelligent systems. His publication history spans over 250 publications in addition to his editorialship in top journals such as the IEEE Communication Surveys and Tutorials, and the Elsevier Sustaibable Cities and Society.

Big Data Analytics and Computational Intelligence for Cybersecurity

Big Data Analytics and Computational Intelligence for Cybersecurity PDF Author: Mariya Ouaissa
Publisher: Springer Nature
ISBN: 303105752X
Category : Computers
Languages : en
Pages : 336

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Book Description
This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security. The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in different approaches of security. It also displays solutions that will help analyze complex patterns in user data and ultimately improve productivity. This book can be a source for researchers, students, and practitioners interested in the fields of artificial intelligence, cybersecurity, data analytics, and recent trends of networks.

Computing, Internet of Things and Data Analytics

Computing, Internet of Things and Data Analytics PDF Author: Fausto Pedro García Márquez
Publisher: Springer Nature
ISBN: 3031537173
Category :
Languages : en
Pages : 540

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Book Description


Drones - Various Applications

Drones - Various Applications PDF Author: Dragan Cvetković
Publisher: BoD – Books on Demand
ISBN: 0854661646
Category : Technology & Engineering
Languages : en
Pages : 258

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Book Description
Although many believe that unmanned aerial vehicles or drones are a recent invention, unmanned flight has a rich history that goes all the way back to ancient times. The first systems that can be specified under the modern definition of unmanned aerial vehicles or drones include reconnaissance drones developed and deployed during the Cold War period. Today, such systems have evolved and can have different designs. In the last twenty years, many drones with different aerodynamic characteristics, flight endurance, methods and places of launch and acceptance, and even more diverse purposes have been developed. The achievements of modern science, technique, and technology, especially in the field of microelectronics and control systems, have made it possible to design and manufacture drones that are capable of performing controllable flight in a wide range of altitudes, speeds, and distances while performing complex and diverse tasks with almost the same efficiency as well as manned aircraft. This book provides a comprehensive overview of drone technology and applications with chapters on the detection and classification of drones, issues related to electric unmanned aerial vehicles, integrating drones into educational curricula, and the uses of different types of drones in various situations, among other topics.

Applications of Computer Vision and Drone Technology in Agriculture 4.0

Applications of Computer Vision and Drone Technology in Agriculture 4.0 PDF Author: Siddharth Singh Chouhan
Publisher: Springer Nature
ISBN: 9819986842
Category :
Languages : en
Pages : 332

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Book Description


Machine Intelligence, Big Data Analytics, and IoT in Image Processing

Machine Intelligence, Big Data Analytics, and IoT in Image Processing PDF Author: Ashok Kumar
Publisher: John Wiley & Sons
ISBN: 1119865492
Category : Technology & Engineering
Languages : en
Pages : 516

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Book Description
MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design and development. This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind. Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life to assist working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies. Audience The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc. will find this book exceedingly useful.