This accessible guide describes the design and implementation of new front-end monitoring and control strategies for wireless power transfer (WPT). The new control paradigm moves all receiver-side controllers to the transmitter side to enable multiple advantages over conventional designs.Self‑Commissioning Wireless Power Transfer: A New Control Paradigm provides readers with information in three areas. First, it discusses a series of front-end monitoring and contro...

In recent decades, the Tang dynasty (618-907) has acquired a reputation as the most 'cosmopolitan' period in Chinese history. The standard narrative also claims that this cosmopolitan openness faded after the An Lushan Rebellion of 755-763, to be replaced by xenophobic hostility toward all things foreign. This Element reassesses the cosmopolitanism-to-xenophobia narrative and presents a more empirically-grounded and nuanced interpretation of the Tang empire's foreign relations after 755.

For about half a century, the Tang dynasty has held a reputation as the most 'cosmopolitan' period in Chinese history, marked by unsurpassed openness to foreign peoples and cultures and active promotion of international trade. Heavily influenced by Western liberal ideals and contemporary China's own self-fashioning efforts, this glamorous image of the Tang calls for some critical reexamination. This Element presents a broad and revisionist analysis of early Tang China's relations with the ...

Shao-yun Yang challenges assumptions that the cultural and socioeconomic watershed of the Tang-Song transition (800–1127 CE) was marked by a xenophobic or nationalist hardening of ethnocultural boundaries in response to growing foreign threats. In that period, reinterpretations of Chineseness and its supposed antithesis, “barbarism,” were not straightforward products of political change but had their own developmental logic based in two interrelated intellectual shifts among the literati e...

With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data li...

Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by “XaaS”, i.e. everything as a service. Cloud workflows, as typical software applications in the cloud, are composed of a set of partially ordered cloud software services to achieve specific goals. However, due to the low QoS (quality of service) nature of the cloud environment, the design of workflow systems in the cloud becomes a challenging issue fo...

Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrati...

The new multimedia standards (for example, MPEG-21) facilitate the seamless integration of multiple modalities into interoperable multimedia frameworks, transforming the way people work and interact with multimedia data. These key technologies and multimedia solutions interact and collaborate with each other in increasingly effective ways, contributing to the multimedia revolution and having a significant impact across a wide spectrum of consumer, business, healthcare, education, and gover...

Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when t...

Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrast...

The new multimedia standards (for example, MPEG-21) facilitate the seamless integration of multiple modalities into interoperable multimedia frameworks, transforming the way people work and interact with multimedia data. These key technologies and multimedia solutions interact and collaborate with each other in increasingly effective ways, contributing to the multimedia revolution and having a significant impact across a wide spectrum of consumer, business, healthcare, education, and gover...

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains...