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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.

  • Computational Intelligence in Mechatronics

    Solving Real-World Problems in Electronic Systems Design
    • 1st Edition
    • Mohamed Arezki Mellal
    • English
    Computational Intelligence in Mechatronics: Solving Real-World Problems in Electronic Systems Design provides a comprehensive exploration of the diverse applications of computational intelligence in the realm of applied electronics. By compiling cutting-edge research and practical case studies, the book bridges the gap between theory and practice, offering insights into how CI techniques can be effectively utilized to solve real-world problems in electronic systems design, analysis, and optimization. Through a combination of theoretical foundations, algorithmic implementations, and practical examples, readers will gain a deeper understanding of the potential benefits and limitations of CI in various applications within the field of applied electronics.From optimizing circuit designs to enhancing signal processing algorithms, CI has demonstrated its efficacy in addressing challenges across diverse domains such as telecommunications, consumer electronics, renewable energy systems, and medical devices. As the demand for intelligent electronic systems continues to grow, understanding and harnessing the potential of computational intelligence becomes imperative for researchers, engineers, and practitioners in the field of applied electronics.
  • Embedded Systems Architecture

    A Comprehensive Guide for Engineers and Programmers
    • 3rd Edition
    • Tammy Noergaard
    • English
    Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers, Third Edition is a practical and technical guide for understanding the components that make up an embedded system’s architecture. This book is perfect for those starting out as technical professionals such as engineers, programmers, and designers of embedded systems but is also great for students of computer science, computer engineering, and electrical engineering. Users will find a much-needed ‘big picture’ for recently graduated engineers grappling with understanding the design of real-world systems. In addition, the book provides professionals with a systems-level picture of the key elements that can go into embedded design.
  • AI-Driven Optimization and Automation of Integrated Circuit Design

    • 1st Edition
    • Neha Singh + 2 more
    • English
    Artificial Intelligence (AI) offers a solution to the bottleneck issues in the design of integrated circuits (IC) by optimizing and automating tasks in the design and fabrication process. As the world focuses on the development of skilled manpower and automation tools for chip design, verification, testing and fabrication, AI can be utilised to optimize and automate various steps in design cycle, saving time, reducing errors, and managing power consumption. AI-Driven Optimization and Automation of Integrated Circuit Design discusses the latest AI-based methods, algorithms, architectures, and frameworks for digital, analog, and mixed-signal VLSI circuit design, verification and testability, physical design and related areas. It considers the issues with traditional circuit design, and explains how machine learning techniques can optimise and automate the process. It goes on to explain how AI-driven design can impact logic synthesis, circuit placement and routing, and behavioural simulation. It closes with cases studies and a look at future developments for implementations of VLSI design, IC design, and hardware realization using AI tools and techniques.
  • Foundations of Digital Twins

    • 1st Edition
    • Tuan Anh Nguyen + 2 more
    • English
    Digital twin computing is the bridge between the real and virtual worlds, and operates as a mirror that reflects the real world into the virtual world. Digital twin technologies take data from sensor networks in the real world, utilise artificial intelligence and machine learning to analyse the data, and then create a digital representation or simulation that updates as their real world counterpart updates. As such, the model can be used to understand the real world environment, and the digital twin can be used to make informed decisions that will be of benefit in the real world. Foundations of Digital Twins explains the fundamentals of digital twins, how digital twin technologies can gather real world data using the sensor networks that comprise the Internet of Things, and how that data can be sorted, analysed, and utilised to improve services and to increase sustainability. Structured in five sections, the book begins with an introductory overview of each technology, establishing a clear understanding of their individual roles and their potential when combined. The second section delves into data acquisition, featuring advanced sensors, drones, robots and actuators. Part Three considers data exchange and security, focusing on CPS, the internet of things, and blockchain. Part Four looks at how digital twins can impact on data computing, such as video streaming, cloud computing, fog computing and edge-computing. The final section explores the future opportunities and risks of adopting advanced technologies in this evolving field, including artificial intelligence, the ethical issues concerned when collecting and using data, and the security implications. By blending theory with practical insights, Foundations of Digital Twins serves as both an educational resource and a practical guide for researchers, students and professionals seeking to harness the power of these advanced technologies in complex, real world environments.
  • Digital Twins in the Smart Classroom

    Utilising Sensor Networks in the Educational Environment
    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Digital Twins in the Smart Classroom: Utilising Sensor Networks in the Educational Environment explores virtual schools that have incorporated digital twin computing into the day-to-day running of the classroom. The book discusses the foundational concepts, practical applications, future directions, and the various aspects of virtual school, such as the student's daily activities, intelligent wireless sensor networks, privacy issues, and how the internet of things, artificial intelligence, machine learning, cloud computing, and fog/edge-computing can enable a smarter, more efficient, more optimized classroom.The smart classroom allows the incorporation of digital devices and learning software into the school environment, as well as sensor networks for tracking classroom processes, for data gathering, and to developed insights into the management of scholarly activity. Additionally, modern infrastructure within schools can involve the installation of advanced Information and communication technology (ICT): student-friendly data can be collected from wearable devices (personal digital assistants, iPads, iPods, smart watches, etc.) via wireless sensor networks; smart sensors can monitor the classroom environment, such as noise level, CO2 level, temperature, humidity, lecturers’ voice, and students/lecturers’ motion (by PIR - passive infrared sensors), and much more.
  • Confidential Computing

    Principles and Technology
    • 1st Edition
    • Jiewen Yao
    • English
    At present, major companies are launching their own confidential computing solutions, which pose significant challenges to users. This book summarizes the common designs of various mainstream TEE hardware, and explains their commonalities to help understand the working principles of TEE hardware, facilitating users to define TEE usage scenarios through abstract commonalities.Confid... Computing: Principles and Technology comprehensively introduces the design principles and usage methods of TEE in terms of security models, lifecycle, attestation models, attack methods, and mitigation strategies, helping readers understand the security attributes and implementation points of confidential computing. At the same time, this book takes the TEE provided by the mainstream X86, ARM, and RISC-V architectures in the industry as examples to analyze the specific implementation methods and similarities and differences of hardware TEE, helping users deeply understand the advantages and disadvantages of different implementations, and hoping to provide some inspiration for future TEE software and hardware designers.
  • Digital Twin Technology and Smart Grid

    • 1st Edition
    • Iraklis Varlamis + 2 more
    • English
    Digital Twin Technology and Smart Grid explores the intersection of these technologies, which are essential for the evolution of energy systems. The book explains how it utilizes intelligent wireless sensor networks, the Internet of Things, artificial intelligence, machine learning, cloud, edge, and fog-computing to monitor power consumption. It discusses how security risks and privacy challenges can be accommodated, and explains the ethical/legal implications of collecting data. As the global energy landscape moves toward greater sustainability and decentralization, digital twins present unprecedented opportunities to enhance grid efficiency, bolster resilience, and support the integration of renewable energy sources.The integration of Digital Twin (DT) technology with Smart Grids (SG) represents a groundbreaking development in energy management, making this a highly significant and timely topic. As urban areas expand and energy demands rise, the need for more efficient, sustainable, and resilient energy systems becomes critical. DT technology, with its ability to create real-time, virtual replicas of physical systems, offers unprecedented opportunities for enhancing the performance, reliability, and security of smart grids.
  • Integrated Photonics for Sensing Applications

    • 1st Edition
    • Anu Agarwal + 2 more
    • English
    Integrated Photonics for Sensing Applications introduces sensors as an important application area for integrated photonics. It provides a brief historical perspective and highlights key free-space spectroscopic sensing techniques such as FTIR, Raman, SPR, and reflectometry, and it thoroughly explores the advantages of photonic integrated circuit (PIC) sensor systems, which have the potential for low SWAP-C and high performance.The topics covered include sensor system components such as waveguides (for optical wavelengths less than and greater than 1550 nm), ring resonators and toroids, photonic crystals, MZ interferometers, light input and output, light sources (wavelengths less than and greater than 1550 nm), and spectrometers and detectors. The book considers integrated systems that employ biofunctionalization... for applications in chem–bio sensing, and it also addresses sensor manufacturing at scale, including materials, PDK development, and sensor packaging.
  • Digital Design using VerilogHDL

    VLSI Modeling, Coding and Verification
    • 1st Edition
    • Shilpi Birla + 2 more
    • English
    Digital Design using VerilogHDL: VLSI Modeling, Coding and Verification covers the concepts of digital logic design, including, logic simplification and optimization for digital circuit synthesis and implementation, design and integration of logics (combinational and sequential) in the building of digital circuits and systems, the practical aspects of number systems, the use of VerilogHDL in the logic design, testbench verification, and the synthesis of digital circuits and systems with HDL code examples. Users will find an approach to the design, integration, verification, and synthesizing of a digital logic circuit, complete with coding examples.
  • Home Digital Twins

    • 1st Edition
    • Tuan Anh Nguyen
    • English
    Home Digital Twins explores how digital twin technologies can serve as a bridge between the real home and the virtual home. It explains how IoT devices, wearable sensors, artificial intelligence (AI), and machine learning (ML) can aid in the diagnosis, prediction, and prevention of abnormal/critical/ex... problems in real home environments, while also showing how digital twin computing can support the management of home energy consumption to optimize everyday living. The book also considers the security and ethical implications of introducing digital twin technology in the home to ensure the technology benefit the lives of the home's inhabitants.The introduction of sensor networks into the home environment allows automation into the home, utilizing internet of things (IoT) devices to program, for example, door opening, room luminosity, room temperature, and humidity. Digital Twin technology extends the capabilities of the smart home, collecting and analyzing data from the Activities of Daily Living (ADLs) and applying Human Activity Recognition (HAR) algorithms to provide adaptive services, including minimizing power consumption, improving healthcare, and enhancing overall well-being. However, there are many challenges when applying these algorithms to the smart home due to the variability and sparsity of sensor data, which can lead to a mismatch between the real home and the digital home.