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Elsevier

Books in Hardware and architecture

Showcasing processor design, digital logic, and embedded systems, this collection provides deep insights into hardware development. Featuring the latest research, design methodologies, and practical applications, these titles support engineers, researchers, and students in creating efficient, innovative computing devices. Addressing emerging trends like quantum computing and hardware security, the collection fosters technological progress at the hardware-software interface.

  • Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability.Dig... Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.

  • Digital Twin and Blockchain for Sensor Networks in Smart Cities

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Digital twin, blackchain, and wireless sensor networks can work together to improve services in the smart city. Big data derived from wireless sensor networks can be integrated to accommodate the exchange of real-time data between citizens, governments, and organizations. Blockchain can provide high security for large-scale communications and transactions between many stakeholders. Digital twin uses physical models and historical data to integrate big information under multidiscipline, multiphysical quantities, multiscale, and multiprobability conditions.Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twin and blockchain can be optimized to improve services. This book is divided into three parts. Part 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while Part 2 describes their applications for managing the regular operations and services. Part 3 deals with their applications for safe cities.

  • Blockchain and Digital Twin for Smart Healthcare

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient.

  • Blockchain and Digital Twin for Smart Hospitals

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare, covering the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated, and managed with blockchain for efficient and private medical data exchange. Medical data is collected real-time from devices and systems in smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies.

  • Advanced Sensors for Smart Healthcare

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Advanced Sensors for Smart Healthcare provides an invaluable resource for researchers and healthcare practitioners who are eager to use technology to improve the lives of patients. Sections highlight data from sensor networks via the smart hospital framework, including data, insights, and access. This book shows how the use of sensors to gather data on a patient's condition and the environment their care takes place in can allow healthcare professionals to monitor well-being and make informed decisions about treatment.

  • Sensor Networks for Smart Hospitals

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.

  • Iris and Periocular Recognition using Deep Learning

    • 1st Edition
    • Ajay Kumar
    • English
    Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques.

  • Modern Assembly Language Programming with the ARM Processor

    • 2nd Edition
    • Larry D Pyeatt
    • English
    Modern Assembly Language Programming with the ARM Processor, Second Edition is a tutorial-based book on assembly language programming using the ARM processor. It presents the concepts of assembly language programming in different ways, slowly building from simple examples towards complex programming on bare-metal embedded systems. The ARM processor was chosen as it has fewer instructions and irregular addressing rules to learn than most other architectures, allowing more time to spend on teaching assembly language programming concepts and good programming practice.Careful consideration is given to topics that students struggle to grasp, such as registers vs. memory and the relationship between pointers and addresses, recursion, and non-integral binary mathematics. A whole chapter is dedicated to structured programming principles. Concepts are illustrated and reinforced with many tested and debugged assembly and C source listings. The book also covers advanced topics such as fixed- and floating-point mathematics, optimization, and the ARM VFP and NEONTM extensions.

  • Embedded Systems

    ARM Programming and Optimization
    • 2nd Edition
    • Jason D. Bakos
    • English
    Embedded Systems: ARM Programming and Optimization, Second Edition combines an exploration of the ARM architecture with an examination of the facilities offered by the Linux operating system to explain how various features of program design can influence processor performance. The book demonstrates methods by which a programmer can optimize program code in a way that does not impact its behavior but instead improves its performance. Several applications, including image transformations, fractal generation, image convolution, computer vision tasks, and now machine learning are used to describe and demonstrate these methods. From this, the reader will gain insight into computer architecture and application design, as well as practical knowledge in embedded software design for modern embedded systems. The second edition has been expanded to include more topics of interest to upper level undergraduate courses in embedded systems.

  • Embedded System Design

    Methodologies and Issues
    • 1st Edition
    • Lawrence J. Henschen + 1 more
    • English
    Embedded Systems Design: Methodologies and Issues presents methodologies for designing these systems and discusses major issues, both present and future, that designers must consider in bringing products with embedded processing to market. The book starts from the first step after product proposal (behavioral modeling) and goes through the steps for modeling internal operations. Specific areas of focus include methods for designing safe, reliable, and robust embedded systems. Sections cover selection of processors and related hardware as well as issues involved in designing related software. Finally, the book present issues that will occur in systems designed for the Internet of Things. This book is for junior/senior/MS students in computer science, computer engineering, and electrical engineering who intend to take jobs in industry designing and implementing embedded systems and Internet of Things applications.

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