Author:
Publisher:
ISBN: 9781728181042
Category :
Languages : en
Pages :
Book Description
2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain 7 - 11 December 2021
Author:
Publisher:
ISBN: 9781728181042
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781728181042
Category :
Languages : en
Pages :
Book Description
Signal and Information Processing, Networking and Computers
Author: Yue Wang
Publisher: Springer Nature
ISBN: 9811999686
Category : Technology & Engineering
Languages : en
Pages : 1257
Book Description
This book collects selected papers from the 10th Conference on Signal and Information Processing, Networking and Computers held in Xi’Ning, China held in July, 2022. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. People from both academia and industry of this field can contribute and find their interests from the book.
Publisher: Springer Nature
ISBN: 9811999686
Category : Technology & Engineering
Languages : en
Pages : 1257
Book Description
This book collects selected papers from the 10th Conference on Signal and Information Processing, Networking and Computers held in Xi’Ning, China held in July, 2022. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. People from both academia and industry of this field can contribute and find their interests from the book.
Machine Learning and Optimization for Engineering Design
Author: Apoorva S. Shastri
Publisher: Springer Nature
ISBN: 9819974569
Category : Computers
Languages : en
Pages : 175
Book Description
This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.
Publisher: Springer Nature
ISBN: 9819974569
Category : Computers
Languages : en
Pages : 175
Book Description
This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.
A Roadmap to Future Space Connectivity
Author: Claudio Sacchi
Publisher: Springer Nature
ISBN: 3031307623
Category : Technology & Engineering
Languages : en
Pages : 303
Book Description
This book provides an overview of the latest R&D advancements in the field of ICT technologies inherent to a New Space vision. The book presents a system-level and technology-level description of future space networking and communications. The authors also expand the vision to interplanetary networks. The book spans hardware and software technologies for future space communication networks, also considering very modern paradigms like quantum technologies and Softwarization. In the book, the word “space” is intended in a wider sense than the usual “satellite communications”, including new and partially unexplored fields like quantum space communications, interplanetary communications, and extra-terrestrial Radio Access Networks (RANs). The book includes applications including Internet of Space Things, Tactile Internet/Digital twins for Space and discusses future challenges like those involved by the concept of “sustainable Space”. Provides an overview of the latest R&D advancements in the field of ICT technologies inherent to a New Space vision; Considers visions and perspectives of space technology, including a through overview of satellite communications; Presents a system-level overview of future space networking and communications.
Publisher: Springer Nature
ISBN: 3031307623
Category : Technology & Engineering
Languages : en
Pages : 303
Book Description
This book provides an overview of the latest R&D advancements in the field of ICT technologies inherent to a New Space vision. The book presents a system-level and technology-level description of future space networking and communications. The authors also expand the vision to interplanetary networks. The book spans hardware and software technologies for future space communication networks, also considering very modern paradigms like quantum technologies and Softwarization. In the book, the word “space” is intended in a wider sense than the usual “satellite communications”, including new and partially unexplored fields like quantum space communications, interplanetary communications, and extra-terrestrial Radio Access Networks (RANs). The book includes applications including Internet of Space Things, Tactile Internet/Digital twins for Space and discusses future challenges like those involved by the concept of “sustainable Space”. Provides an overview of the latest R&D advancements in the field of ICT technologies inherent to a New Space vision; Considers visions and perspectives of space technology, including a through overview of satellite communications; Presents a system-level overview of future space networking and communications.
Advanced signal processing techniques in radiation detection and imaging
Author: Jian Dong
Publisher: Frontiers Media SA
ISBN: 2832540872
Category : Science
Languages : en
Pages : 148
Book Description
Publisher: Frontiers Media SA
ISBN: 2832540872
Category : Science
Languages : en
Pages : 148
Book Description
Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security
Author: Sudeep Tanwar
Publisher: Springer Nature
ISBN: 9819914795
Category : Technology & Engineering
Languages : en
Pages : 920
Book Description
This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Ghaziabad in collaboration with WSG Poland, SFU Russia, & CSRL India. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
Publisher: Springer Nature
ISBN: 9819914795
Category : Technology & Engineering
Languages : en
Pages : 920
Book Description
This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Ghaziabad in collaboration with WSG Poland, SFU Russia, & CSRL India. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
Security and Privacy in Web 3.0
Author: Meng Shen
Publisher: Springer Nature
ISBN: 9819757525
Category :
Languages : en
Pages : 164
Book Description
Publisher: Springer Nature
ISBN: 9819757525
Category :
Languages : en
Pages : 164
Book Description
Intelligent Distributed Computing XVI
Author: Michael Köhler-Bußmeier
Publisher: Springer Nature
ISBN: 3031600231
Category :
Languages : en
Pages : 320
Book Description
Publisher: Springer Nature
ISBN: 3031600231
Category :
Languages : en
Pages : 320
Book Description
Decentralized Frameworks for Future Power Systems
Author: Mohsen Parsa Moghaddam
Publisher: Academic Press
ISBN: 0323985629
Category : Technology & Engineering
Languages : en
Pages : 502
Book Description
Decentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives is the first book to consider the principles and applications of decentralized decision-making in future power networks. The work opens by defining the emerging power system network as a system-of-systems (SoS), exploring the guiding principles behind optimal solutions for operation and planning problems. Chapters emphasize the role of regulations, prosumption behaviors, and the implementation of transactive energy processes as key components in decentralizing power systems. Contributors explore local markets, distribution system operation and proactive load management. The role of cryptocurrencies in smoothing transactive distributional challenges are presented. Final sections cover energy system planning, particularly in terms of consumer smart meter technologies and distributed optimization methods, including artificial intelligence, meta-heuristic, heuristic, mathematical and hybrid approaches. The work closes by considering decentralization across the cybersecurity, distributed control, market design and power quality optimization vertices. - Develops a novel framework for transactive energy management to enhance flexibility in future power systems - Explores interactions between multiple entities in local power markets based on a distributed optimization approach - Focuses on practical optimization, planning and control of smart grid systems towards decentralized decision-making
Publisher: Academic Press
ISBN: 0323985629
Category : Technology & Engineering
Languages : en
Pages : 502
Book Description
Decentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives is the first book to consider the principles and applications of decentralized decision-making in future power networks. The work opens by defining the emerging power system network as a system-of-systems (SoS), exploring the guiding principles behind optimal solutions for operation and planning problems. Chapters emphasize the role of regulations, prosumption behaviors, and the implementation of transactive energy processes as key components in decentralizing power systems. Contributors explore local markets, distribution system operation and proactive load management. The role of cryptocurrencies in smoothing transactive distributional challenges are presented. Final sections cover energy system planning, particularly in terms of consumer smart meter technologies and distributed optimization methods, including artificial intelligence, meta-heuristic, heuristic, mathematical and hybrid approaches. The work closes by considering decentralization across the cybersecurity, distributed control, market design and power quality optimization vertices. - Develops a novel framework for transactive energy management to enhance flexibility in future power systems - Explores interactions between multiple entities in local power markets based on a distributed optimization approach - Focuses on practical optimization, planning and control of smart grid systems towards decentralized decision-making
Green Machine Learning Protocols for Future Communication Networks
Author: Saim Ghafoor
Publisher: CRC Press
ISBN: 1000968936
Category : Computers
Languages : en
Pages : 249
Book Description
Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.
Publisher: CRC Press
ISBN: 1000968936
Category : Computers
Languages : en
Pages : 249
Book Description
Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.