This book investigates the use of network technologies in research, and explores how such use potentially changes the nature of professional learning between academics. It attempts to situate the discussion of technology use in real-world research settings, to identify the different forms of participation in intellectual exchange embedded in academic dialogue, and to further contribute to knowledge on how the use of network technology potentially changes the nature of learning. Multiple data collection methods are employed, in two forms of study: a single case study, and a number of individual interviews. The single case study was carried out over a one-year period, and consisted of interviews (22 interviewees), observations, and document review. Individual semi-structured interviews were carried out over a similar period of time with a wider and different population of 24 academics from different Oxford faculties. Half of these were interviewed twice.The main findings presented in this book demonstrate that the direct consequences of technology use are changes to academic dialogue and scholarly communication in general. The change to this critical aspect of research – scholarly communication – has potentially led to more distributed research in interconnected research environments. It is the changes to scholarly communication and the research environment that consequently affect participation in intellectual exchange.
This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.
A power converter is a device used in electrical engineering, power engineering, and the electric power sector to convert electric energy from one form to another, such as converting between AC and DC, changing voltage or frequency, or a combination of these. It is used in a variety of applications, such as industrial drives, power supply, energy generating equipment, consumer goods, electrical vehicles/aeroplanes/ships, smart grids and more.This book will open a door for engineers to design the power converters via the artificial intelligence (AI) method. It begins by reviewing current AI technology in power converters. The book then introduces customized AI algorithms for power converters that take into account the particular characteristics of power converters. The book then presents a set of AI-based design methodologies for power devices, including DC/DC converters, resonant DC/DC converters, bidirectional DC/DC converters, DC/AC inverters, and AC/DC rectifiers. This is the first book to cover all you need to know about using AI to create power converters, including a literature review, algorithm, and circuit design.
This book is devoted to the optimum design of the DCT in a hybrid AC/DC microgrid, which takes into account not only the influence of different inductors/capacitors values, but also numerous design goals (i.e., VCG, efficiency, stability and so on). This book examines the DCT's design problem in detail. It begins by reviewing existing DCTs in, the hybrid AC/DC microgrid and their design problems. Following that, this book proposes a family of DCT optimization design approaches to ensure that the designed DCT has good power transmission and voltage regulation ability in the hybrid AC/DC microgrid, even when the actual inductors/capacitors values fluctuate with practical power and temperature. Following that, this book provides a family of multi-objective optimization design methodologies for the DCT to guarantee that it concurrently achieves the requirements of VCG, efficiency, and system stability. This book also covers how to control the DCT in a hybrid AC/DC microgrid optimally and generically.
This book introduces the concept of machine-type communication (MTC) for maritime Internet of Things. The first part of the book portrays a maritime MTC system from an architectural perspective and describes an MTC framework and the fundamental components, laying out a foundation that leads to an ultimate solution to the maritime IoT requirements and challenges. The second part ties together all discussed in the first part and demonstrates how to apply it to a practical system through a realistic design example based on an international maritime mobile spectrum. The book serves as a comprehensive tutorial of the maritime MTC from the top (the network architecture) to the bottom (the air/radio interface and regulatory radio spectrum constraints), guiding readers to an easier understanding of the maritime MTC-related issues and the rationale behind the design. The primary readers of this book include maritime communication engineers, maritime IoT professionals, maritime academia, and the general MTC and IoT communities. Presents the concept of machine-type communication (MTC) for maritime Internet of Things (IoT) and its services, requirements, and challenges; Explains space-earth-integrated maritime machine-type communication system architecture with a comparison with its land counterpart; Sets out a comprehensive framework and details the ways to implement it on a practical radio spectrum; Includes maritime MTC radio spectrum and regulations, network design, protocol design, and air interface design.
This book focuses on various Passive optical networks (PONs) types, including currently deployed Ethernet PON (EPON) and Gigabit PON (GPON) as well as next generation WDM PON and OFDM PON. Also this book examines the integrated optical and wireless access networks. Concentrating on two issues in these networks: media access control (MAC) and resource allocation. These two problems can greatly affect performances of PONs such as network resource utilization and QoS of end users. Finally this book will discuss various solutions to address the MAC and resource allocation issues in various PON networks.
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