Octavia A. Dobre – författare

Blockchains Empowering Technologies and Industrial Applications A comprehensive guide to the most recent developments in blockchains in theoretical and industrial perspectives Originally introduced as a method to keep track of Bitcoin transactions over a peer-to-peer network, blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography into a chain held in public databases. The use of this technology has grown since its cryptocurrency creation and now store three types of information: 1) transactions, including the date, time, and value of purchases; 2) records of participates in transactions; and 3) unique code known as a “hash” that distinguishes one block from another. A single block on the blockchain can hold 1 MB of data, or potentially thousands of transactions — this then can allow for hundreds of thousands of transactions to be recorded as each block can join the state-of-the-art blockchain. Blockchains provides a detailed overview of the latest and most innovative concepts, techniques, and applications related to the developing blockchain. Aimed at novices and experts on the subject, the book focuses on blockchain technologies, integrated systems, and use cases, specifically by looking at three major technical areas: blockchain platforms and distributed database technologies, consensus and fault tolerance, and Blockchain as a Service (BaaS). These avenues of research are essential to support blockchain functionalities, such as acquiring and updating existing data, securing data resources and the recovery of failures, and using blockchains in various services that range from cryptocurrencies to cloud automation. Blockchains readers will also find: Brainstorming activities that gradually builds the knowledge of readers on the described technology and deployment scenariosInvestigation of specific topics such as novel networking protocols, wireless techniques, new infrastructure designs, operations management, and deployment strategiesDiscussion of technical challenges in blockchain, as well as how to manage cloud-based networks, service automation, and cyber securityNumerous elementary and advanced examples on various topics at the end of the book that can be used for training purposesIllustrations including tables and diagrams to help elucidate points made throughout the volumeGlossary of relevant terminology to blockchains in enterpriseBlockchains is a useful reference for researchers in vehicular networking and computer science, as well as cloud storage providers and governmental offices for data management.

Blockchains Empowering Technologies and Industrial Applications

A comprehensive guide to the most recent developments in blockchains in theoretical and industrial perspectives

Originally introduced as a method to keep track of Bitcoin transactions over a peer-to-peer network, blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography into a chain held in public databases. The use of this technology has grown since its cryptocurrency creation and now store three types of information: 1) transactions, including the date, time, and value of purchases; 2) records of participates in transactions; and 3) unique code known as a “hash” that distinguishes one block from another. A single block on the blockchain can hold 1 MB of data, or potentially thousands of transactions — this then can allow for hundreds of thousands of transactions to be recorded as each block can join the state-of-the-art blockchain.

Blockchains provides a detailed overview of the latest and most innovative concepts, techniques, and applications related to the developing blockchain. Aimed at novices and experts on the subject, the book focuses on blockchain technologies, integrated systems, and use cases, specifically by looking at three major technical areas: blockchain platforms and distributed database technologies, consensus and fault tolerance, and Blockchain as a Service (BaaS). These avenues of research are essential to support blockchain functionalities, such as acquiring and updating existing data, securing data resources and the recovery of failures, and using blockchains in various services that range from cryptocurrencies to cloud automation.

Blockchains readers will also find:

Brainstorming activities that gradually builds the knowledge of readers on the described technology and deployment scenarios Investigation of specific topics such as novel networking protocols, wireless techniques, new infrastructure designs, operations management, and deployment strategies Discussion of technical challenges in blockchain, as well as how to manage cloud-based networks, service automation, and cyber security Numerous elementary and advanced examples on various topics at the end of the book that can be used for training purposes Illustrations including tables and diagrams to help elucidate points made throughout the volume Glossary of relevant terminology to blockchains in enterprise

Blockchains is a useful reference for researchers in vehicular networking and computer science, as well as cloud storage providers and governmental offices for data management.

Blockchains Empowering Technologies and Industrial Applications

A comprehensive guide to the most recent developments in blockchains in theoretical and industrial perspectives

Originally introduced as a method to keep track of Bitcoin transactions over a peer-to-peer network, blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography into a chain held in public databases. The use of this technology has grown since its cryptocurrency creation and now store three types of information: 1) transactions, including the date, time, and value of purchases; 2) records of participates in transactions; and 3) unique code known as a “hash” that distinguishes one block from another. A single block on the blockchain can hold 1 MB of data, or potentially thousands of transactions — this then can allow for hundreds of thousands of transactions to be recorded as each block can join the state-of-the-art blockchain.

Blockchains provides a detailed overview of the latest and most innovative concepts, techniques, and applications related to the developing blockchain. Aimed at novices and experts on the subject, the book focuses on blockchain technologies, integrated systems, and use cases, specifically by looking at three major technical areas: blockchain platforms and distributed database technologies, consensus and fault tolerance, and Blockchain as a Service (BaaS). These avenues of research are essential to support blockchain functionalities, such as acquiring and updating existing data, securing data resources and the recovery of failures, and using blockchains in various services that range from cryptocurrencies to cloud automation.

Blockchains readers will also find:

Brainstorming activities that gradually builds the knowledge of readers on the described technology and deployment scenarios Investigation of specific topics such as novel networking protocols, wireless techniques, new infrastructure designs, operations management, and deployment strategies Discussion of technical challenges in blockchain, as well as how to manage cloud-based networks, service automation, and cyber security Numerous elementary and advanced examples on various topics at the end of the book that can be used for training purposes Illustrations including tables and diagrams to help elucidate points made throughout the volume Glossary of relevant terminology to blockchains in enterprise

Blockchains is a useful reference for researchers in vehicular networking and computer science, as well as cloud storage providers and governmental offices for data management.

Comprehensive review of state-of-the-art research and development in Generative AI for future communications and networking Generative AI for Communications Systems provides a systematic foundation of knowledge on Generative AI for communications and networking. This book discusses the great potential and challenges in applying Generative AI as promising solutions to future communications systems and enables and facilitates “Generative AI as a Service” by exploring novel communications, networking architectures, protocols, and research trends. The book also includes information on: Crucial challenges to solve in Generative AI, such as training data availability, computational complexity, generalization for various scenarios, robustness of noisy and incomplete data, and real-time adaptation in communications and networking systemsCybersecurity concerns such as ethics and privacy in relation to Generative AIApplications of Generative AI across various layers, including the PHY layer, MAC layer, Network layer, and Application layerCommunications and networking solutions to meet the computing and communications challenges and demands to train and deploy large-scale Generative AI modelsGenerative AI for Communications Systems is an excellent up-to-date resource on the subject for scholars and researchers in the fields of communications, artificial intelligence, machine learning, and network optimization as well as professionals working in the communications industry including engineers, network architects, and system designers.

Comprehensive review of state-of-the-art research and development in Generative AI for future communications and networking Generative AI for Communications Systems provides a systematic foundation of knowledge on Generative AI for communications and networking. This book discusses the great potential and challenges in applying Generative AI as promising solutions to future communications systems and enables and facilitates Generative AI as a Service by exploring novel communications, networking architectures, protocols, and research trends. The book also includes information on: Crucial challenges to solve in Generative AI, such as training data availability, computational complexity, generalization for various scenarios, robustness of noisy and incomplete data, and real-time adaptation in communications and networking systemsCybersecurity concerns such as ethics and privacy in relation to Generative AIApplications of Generative AI across various layers, including the PHY layer, MAC layer, Network layer, and Application layerCommunications and networking solutions to meet the computing and communications challenges and demands to train and deploy large-scale Generative AI models Generative AI for Communications Systems is an excellent up-to-date resource on the subject for scholars and researchers in the fields of communications, artificial intelligence, machine learning, and network optimization as well as professionals working in the communications industry including engineers, network architects, and system designers.

Comprehensive review of state-of-the-art research and development in Generative AI for future communications and networking Generative AI for Communications Systems provides a systematic foundation of knowledge on Generative AI for communications and networking. This book discusses the great potential and challenges in applying Generative AI as promising solutions to future communications systems and enables and facilitates Generative AI as a Service by exploring novel communications, networking architectures, protocols, and research trends. The book also includes information on: Crucial challenges to solve in Generative AI, such as training data availability, computational complexity, generalization for various scenarios, robustness of noisy and incomplete data, and real-time adaptation in communications and networking systemsCybersecurity concerns such as ethics and privacy in relation to Generative AIApplications of Generative AI across various layers, including the PHY layer, MAC layer, Network layer, and Application layerCommunications and networking solutions to meet the computing and communications challenges and demands to train and deploy large-scale Generative AI models Generative AI for Communications Systems is an excellent up-to-date resource on the subject for scholars and researchers in the fields of communications, artificial intelligence, machine learning, and network optimization as well as professionals working in the communications industry including engineers, network architects, and system designers.

A novel and authoritative approach to quantum machine learning in integrated circuits design optimization In Advanced Techniques for Optimal Sizing of Analog Integrated Circuits, a team of distinguished researchers deliver a comprehensive discussion of the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design. The authors explain IC design optimization, demonstrating cost-effective and time-saving design approaches, as well as techniques likely to be impactful in the near future. The book covers major topics in the field, describing key concepts, recent advances, effective algorithms, and pressing challenges associated with analog circuit sizing optimization. It discusses using both animal and human-inspired optimization algorithms to create basic and quantum machine learning methods. Readers will also find: A novel approach to quantum machine learning in integrated circuit design optimizationA range of introductory and advanced topics suitable for students, advanced professionals, and researchersDetailed illustrations that clarify abstract, complicated engineering conceptsComplete treatments of animal behavior-inspired optimization algorithms, including particle swarm optimization, firefly algorithm, cuckoo search, and bat algorithmPerfect for researchers in engineering, computer scientists, professors, and senior undergraduate and graduate students in integrated circuit design, this book will also benefit students of machine learning, computer science, quantum computing, and optimization.

A novel and authoritative approach to quantum machine learning in integrated circuits design optimization In Advanced Techniques for Optimal Sizing of Analog Integrated Circuits, a team of distinguished researchers deliver a comprehensive discussion of the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design. The authors explain IC design optimization, demonstrating cost-effective and time-saving design approaches, as well as techniques likely to be impactful in the near future. The book covers major topics in the field, describing key concepts, recent advances, effective algorithms, and pressing challenges associated with analog circuit sizing optimization. It discusses using both animal and human-inspired optimization algorithms to create basic and quantum machine learning methods. Readers will also find: A novel approach to quantum machine learning in integrated circuit design optimization A range of introductory and advanced topics suitable for students, advanced professionals, and researchers Detailed illustrations that clarify abstract, complicated engineering concepts Complete treatments of animal behavior-inspired optimization algorithms, including particle swarm optimization, firefly algorithm, cuckoo search, and bat algorithm Perfect for researchers in engineering, computer scientists, professors, and senior undergraduate and graduate students in integrated circuit design, this book will also benefit students of machine learning, computer science, quantum computing, and optimization.

A novel and authoritative approach to quantum machine learning in integrated circuits design optimization In Advanced Techniques for Optimal Sizing of Analog Integrated Circuits, a team of distinguished researchers deliver a comprehensive discussion of the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design. The authors explain IC design optimization, demonstrating cost-effective and time-saving design approaches, as well as techniques likely to be impactful in the near future. The book covers major topics in the field, describing key concepts, recent advances, effective algorithms, and pressing challenges associated with analog circuit sizing optimization. It discusses using both animal and human-inspired optimization algorithms to create basic and quantum machine learning methods. Readers will also find: A novel approach to quantum machine learning in integrated circuit design optimization A range of introductory and advanced topics suitable for students, advanced professionals, and researchers Detailed illustrations that clarify abstract, complicated engineering concepts Complete treatments of animal behavior-inspired optimization algorithms, including particle swarm optimization, firefly algorithm, cuckoo search, and bat algorithm Perfect for researchers in engineering, computer scientists, professors, and senior undergraduate and graduate students in integrated circuit design, this book will also benefit students of machine learning, computer science, quantum computing, and optimization.

Digital twin (DT) technology is a real-time evolving digital duplicate of a physical object or process that contains all its history. It is enabled by massive real-time multi-source data collection and analysis. While 6G is considered as an enabler of digital twins, DT can also be a facilitator for integrating AI and 6G towards reliable, pervasive and efficient intelligent technologies.While the DT concept is familiar among aerospace and industrial engineers, it is a relatively new topic among electronic, electrical, computer, communications and networking engineers. For future massive-scale industrial internet-of-things (IoT) applications facilitated by DTs, a 6G network will be much more advantageous than its 5G counterpart.Digital Twins for 6G: Fundamental theory, technology and applications aims to bring together knowledge from industrial practitioners and researchers, and to introduce novel concepts that can help address the challenges associated with this interdisciplinary topic. The authors will cover fundamentals, enabling technologies, standards and advanced topics of DT and 6G to demystify the DT concept and its networking requirements and benefits, support a broader understanding of DT and its relationship with 6G to a larger audience, support learning and understanding for researchers and professionals working on 5G and 6G, and create a foundation on DT and 6G for the international research community.This book is intended to be both a tutorial of the important topics around digital twin and advanced wireless communications technologies, including 6G, as well as an advanced overview for technical professionals in the communications industry, technical managers, and researchers in both academia and industry.

This book presents the intersection of two dynamic fields: Reinforcement Learning (RL) and RIS- Assisted Wireless Communications. With an emphasis on both discrete and continuous problems, it introduces a comprehensive overview of RL techniques and their applications in the evolving world of RIS-assisted wireless communications. Chapter 1 introduces the fundamentals of RL and deep RL (DRL), providing a solid foundation for understanding subsequent chapters. It  also presents the Q-learning, deep Q-learning, and deep deterministic policy gradient algorithms. Chapter 2 provides a holistic overview of RIS-assisted systems and details several use cases in wireless communications. Then, Chapters 3 and 4 present various applications of the discrete and continuous DRL to RIS-assisted wireless communications. From maximizing the sum-rate to minimizing, the system resources and maximizing the energy efficiency. These chapters showcase the versatility of the DRL algorithms in tackling arange of challenges. This book concludes with Chapter 5, which introduces the challenges and future directions in this field. It explores the particulars of hyperparameter tuning, problem design, and complexity analysis, while also highlighting the potential of hybrid DRL, multi-agent DRL, and transfer learning techniques for advancing wireless communication systems. Optimizing RIS-Assisted Wireless Systems requires powerful algorithms to cope with the dynamic propagation environment. DRL is envisioned as one of the key enabling techniques to exploit the full potential of RIS-Assisted Wireless Communication Systems. It empowers these systems to intelligently adapt to dynamic wireless environments, maximize performance metrics, and adjusts their configurations to accommodate diverse use cases efficiently. This book serves as a valuable resource, shedding light on the potential of DRL to optimize RIS-Assisted Wireless Communication, enabling researchers, engineers, advanced level students in computer science and electrical engineering and enthusiasts to grasp the intricacies of this topic. It offers a comprehensive understanding of the principles, applications, and challenges, making it a reference to recognize the full potential of the RIS technology in modern wireless communication systems.