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Real-time and networked embedded systems are important bidirectional bridges between the physical and the information worlds. Embedded intelligence is increasingly pervading industry, infrastructure, and public and private spaces, being identified as an emerging societal and economic “neural system” that supports both societal changes and economic growth. As cost/performance improves, objects connected in everyday life increasingly rely on embedded intelligence in an ever-growing array of application fields, specialized technologies, and engineering disciplines. While this process gradually builds the IoT, it exposes a series of specific non-trivial timing and other extra-functional requirements and system properties that are less common in other computing areas. The ten articles in this book propose solutions to the specific open problems of cyber–physical and real-time embedded systems applicable to both traditional application domains, such as industrial automation and control, energy management, automotive, aerospace and defense systems, as well as emerging domains, such as medical devices, household appliances, mobile multimedia, gaming, and entertainment systems.]

Internet of Things (IoT) --- Embedded Systems --- Cyber-Physical Systems --- Real-Time Systems

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Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Computational intelligence. --- Cooperating objects (Computer systems). --- Artificial intelligence. --- Computational Intelligence. --- Cyber-Physical Systems. --- Artificial Intelligence.

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This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

Embedded computer systems. --- Cooperating objects (Computer systems). --- Artificial intelligence. --- Embedded Systems. --- Cyber-Physical Systems. --- Artificial Intelligence.

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This book investigates data security approaches in Heterogeneous Communications Networks (HCN). First, the book discusses the urgent need for a decentralized data management architecture in HCN. The book investigates preliminaries and related research to help readers obtain a comprehensive picture of the research topic. Second, the book presents three blockchain-based approaches for data management in HCN: data provenance, data query, and data marketing. Finally, based on the insights and experiences from the presented approaches, the book discusses future research directions. Discusses the need for decentralized data security approaches in heterogeneous communications networks (HCN); Presents solutions applicable and practical for real-world applications; Investigates HCN data security approaches such as reliable data provenance, transparent data query, and fair data marketing.

Telecommunication. --- Cooperating objects (Computer systems). --- Blockchains (Databases). --- Communications Engineering, Networks. --- Cyber-Physical Systems. --- Blockchain.

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This third edition of this text covers the key technologies associated with the physical transmission of data on 5G mobile systems. Following an updated overview of these technologies, the author provides a high-level description of 3GPP’s mobile communications standard (5G/5G-Advanced) and shows how the key technologies presented earlier facilitate the transmission of very high-speed user data and control data and can provide very low latency for use cases where this is important. In the final chapter, an updated overview and the physical layer aspects of 5G NR enabled Fixed Wireless Access (FWA) networks is presented. Material in the second edition addressed mainly the key physical layer technologies and features associated with 3GPP Release 15, the first release to support 5G, and Release 16. This edition adds descriptions of some of the technological advancements supported in Releases 17 and 18, the latter being designated by 3GPP as 5G-Advanced. In addition to numerous enhancements of existing features, these releases include new features such as support for 1024-QAM in the downlink in the FR1 band, Reduced Capability (RedCAP) devices, Network Controlled repeaters, operation in the 6 GHz band and above 52.6 GHz, support for broadcast/multicast services, and Non-terrestrial Networks (NTNs). Additionally, a look ahead at some of the planned features and enhancements of Release 19 is provided. This textbook is intended for graduate and upper undergraduate engineering students and practicing engineers and technicians who have an interest in 3GPP’s 5G enabled mobile and or FWA networks and want to acquire, where missing, the necessary technology background in order to understand 3GPP’s physical layer specifications and operation. Provided are working problems and helpful examples throughout the text. Presents key 3GPP 5G/5G-Advanced physical layer technologies in a technically coherent fashion; Covers digital modulation, LDPC/polar coding, and multi-carrier based multiple-access antenna techniques; Provides an overview of 5G higher-layer protocols and an introduction to the 5G physical-layer structure. .

Telecommunication. --- Cooperating objects (Computer systems). --- Computer networks. --- Communications Engineering, Networks. --- Cyber-Physical Systems. --- Computer Communication Networks.