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Fundamentals of Internet of Things

Fundamentals of Internet of Things

The Internet of Things (IoT) networks have revolutionized the world and have innumerable real-time applications on automation. A few examples include driverless cars remote monitoring of the elderly remote order of tea or coffee of your choice from a vending machine and home/industrial automation amongst others. Fundamentals of Internet of Things build the foundations of IoT networks by leveraging the relevant concepts from signal processing communications net-works and machine learning. The book covers two fundamental components of IoT networks namely the Internet and Things. In particular the book focuses on networking concepts protocols clustering data fusion localization energy harvesting control optimization data analytics fog computing privacy and security including elliptic curve cryptography and blockchain technology. Most of the existing books are theoretical and without many mathematical details and examples. In addition some essential topics of the IoT networks are also missing in the existing books. Features: • The book covers cutting-edge research topics• Provides mathematical understanding of the topics in addition to relevant theory and insights• Includes illustrations with hand-solved numerical examples for visualization of the theory and testing of understanding• Lucid and crisp explanation to lessen the study time of the reader The book is a complete package of the fundamentals of IoT networks and is suitable for graduate-level students and researchers who want to dive into the world of IoT networks.

GBP 145.00
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Introduction to Self-Driving Vehicle Technology

Introduction to Self-Driving Vehicle Technology

This book aims to teach the core concepts that make Self-driving vehicles (SDVs) possible. It is aimed at people who want to get their teeth into self-driving vehicle technology by providing genuine technical insights where other books just skim the surface. The book tackles everything from sensors and perception to functional safety and cybersecurity. It also passes on some practical know-how and discusses concrete SDV applications along with a discussion of where this technology is heading. It will serve as a good starting point for software developers or professional engineers who are eager to pursue a career in this exciting field and want to learn more about the basics of SDV algorithms. Likewise academic researchers technology enthusiasts and journalists will also find the book useful. Key Features: Offers a comprehensive technological walk-through of what really matters in SDV development: from hardware software to functional safety and cybersecurity Written by an active practitioner with extensive experience in series development and research in the fields of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving Covers theoretical fundamentals of state-of-the-art SLAM multi-sensor data fusion and other SDV algorithms. Includes practical information and hands-on material with Robot Operating System (ROS) and Open Source Car Control (OSCC). Provides an overview of the strategies trends and applications which companies are pursuing in this field at present as well as other technical insights from the industry. | Introduction to Self-Driving Vehicle Technology

GBP 48.99
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Big Data Algorithms Analytics and Applications

Big Data Algorithms Analytics and Applications

As today’s organizations are capturing exponentially larger amounts of data than ever now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques organizations can harness this data discover hidden patterns and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields Big Data: Algorithms Analytics and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data including efficient algorithmic methods to process data better analytical strategies to digest data and representative applications in diverse fields such as medicine science and engineering. The book is organized into five main sections:Big Data Management—considers the research issues related to the management of Big Data including indexing and scalability aspectsBig Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settingsBig Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environmentsBig Data Privacy—focuses on models techniques and algorithms for preserving Big Data privacyBig Data Applications—illustrates practical applications of Big Data across several domains including finance multimedia tools biometrics and satellite Big Data processingOverall the book reports on state-of-the-art studies and achievements in algorithms analytics and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database data warehousing data mining and cloud computing research. It also explores related applications in diverse sectors covering technologies for media/data communication elastic media/data storage cross-network media/data fusion and SaaS. | Big Data Algorithms Analytics and Applications

GBP 44.99
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