Pao-Ann Hsiung – författare

This book comprehensively discusses the role of cloud computing in artificial intelligence‑based data‑driven systems and hybrid cloud computing for large data‑driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‑based frameworks and advanced computing techniques to deal with online/virtual systems.

This book:

• Covers the aspects of security, authentication, and prediction for data‑driven systems in heterogeneous environments.

• Provides data‑driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‑making for real‑time problems.

• Showcases deep learning‑based computer vision algorithms for enhanced pattern detection in different domains based on data‑centric approaches.

• Examines the role of the Internet of Things and machine learning algorithms for data‑driven systems.

• Highlights the applications of data‑driven systems and cloud computing in enhancing network performance.

This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.

This book comprehensively discusses the role of cloud computing in artificial intelligence‑based data‑driven systems and hybrid cloud computing for large data‑driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‑based frameworks and advanced computing techniques to deal with online/virtual systems.

This book:

• Covers the aspects of security, authentication, and prediction for data‑driven systems in heterogeneous environments.

• Provides data‑driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‑making for real‑time problems.

• Showcases deep learning‑based computer vision algorithms for enhanced pattern detection in different domains based on data‑centric approaches.

• Examines the role of the Internet of Things and machine learning algorithms for data‑driven systems.

• Highlights the applications of data‑driven systems and cloud computing in enhancing network performance.

This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.

Reconfigurable systems have pervaded nearly all fields of computation and will continue to do so for the foreseeable future. Reconfigurable System Design and Verification provides a compendium of design and verification techniques for reconfigurable systems, allowing you to quickly search for a technique and determine if it is appropriate to the task at hand. It bridges the gap between the need for reconfigurable computing education and the burgeoning development of numerous different techniques in the design and verification of reconfigurable systems in various application domains.

The text explains topics in such a way that they can be immediately grasped and put into practice. It starts with an overview of reconfigurable computing architectures and platforms and demonstrates how to develop reconfigurable systems. This sets up the discussion of the hardware, software, and system techniques that form the core of the text. The authors classify design and verification techniques into primary and secondary categories, allowing the appropriate ones to be easily located and compared. The techniques discussed range from system modeling and system-level design to co-simulation and formal verification. Case studies illustrating real-world applications, detailed explanations of complex algorithms, and self-explaining illustrations add depth to the presentation.

Comprehensively covering all techniques related to the hardware-software design and verification of reconfigurable systems, this book provides a single source for information that otherwise would have been dispersed among the literature, making it very difficult to search, compare, and select the technique most suitable. The authors do it all for you, making it easy to find the techniques that fit your system requirements, without having to surf the net or digital libraries to find the candidate techniques and compare them yourself.

Hardware Software Co-Design of a Multimedia SOC Platform is one of the first of its kinds to provide a comprehensive overview of the design and implementation of the hardware and software of an SoC platform for multimedia applications. Topics covered in this book range from system level design methodology, multimedia algorithm implementation, a sub-word parallel, single-instruction-multiple data (SIMD) processor design, and its virtual platform implementation, to the development of an SIMD parallel compiler as well as a real-time operating system (RTOS). Hardware Software Co-Design of a Multimedia SOC Platform is written for practitioner engineers and technical managers who want to gain first hand knowledge about the hardware-software design process of an SoC platform. It offers both tutorial-like details to help readers become familiar with a diverse range of subjects, and in-depth analysis for advanced readers to pursue further.

Reconfigurable systems have pervaded nearly all fields of computation and will continue to do so for the foreseeable future. Reconfigurable System Design and Verification provides a compendium of design and verification techniques for reconfigurable systems, allowing you to quickly search for a technique and determine if it is appropriate to the task at hand. It bridges the gap between the need for reconfigurable computing education and the burgeoning development of numerous different techniques in the design and verification of reconfigurable systems in various application domains.

The text explains topics in such a way that they can be immediately grasped and put into practice. It starts with an overview of reconfigurable computing architectures and platforms and demonstrates how to develop reconfigurable systems. This sets up the discussion of the hardware, software, and system techniques that form the core of the text. The authors classify design and verification techniques into primary and secondary categories, allowing the appropriate ones to be easily located and compared. The techniques discussed range from system modeling and system-level design to co-simulation and formal verification. Case studies illustrating real-world applications, detailed explanations of complex algorithms, and self-explaining illustrations add depth to the presentation.

Comprehensively covering all techniques related to the hardware-software design and verification of reconfigurable systems, this book provides a single source for information that otherwise would have been dispersed among the literature, making it very difficult to search, compare, and select the technique most suitable. The authors do it all for you, making it easy to find the techniques that fit your system requirements, without having to surf the net or digital libraries to find the candidate techniques and compare them yourself.

These two volumes constitute the selected and revised papers presented at the Second International Conference on Communication, Networks and Computing, CNC 2022, held in Gwalior, India, in December 2022. The 53 full papers were thoroughly reviewed and selected from the 152 submissions. They focus on ​the exciting new areas of wired and wireless communication systems, high-dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, vehicular technology and applications and electronic circuits for communication systems that promise to make the world a better place to live in.

This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Computational Techniques and Applications (ICCTA 2021), organized by the Electronics and Telecommunication Engineers (IETE), Kolkata Center, India, during 8 – 9 October 2021. This includes research in the areas of intelligent computing and communication systems including computing, electronics, green energy design, communications, computers to interact and disseminate information on latest developments both academically and industrially for computational drifts. The three main tracks are (i) computing in network security, AI and data science; (ii) contemporary issues in electronics, and communication technology; and (iii) intelligent computing in electrical power, control systems and energy technology.