Qian Wang

Yi Du

Samira Anderson

Aging-Related Changes in Auditory Perception and Cognition: Measurements, Mechanisms, and Interventions

Ming Cheng

Peng Han

Honghui Wen

General Airgap Field Modulation Theory for Electrical Machines Introducing a new theory for electrical machines Air-gap magnetic field modulation phenomena have been widely observed in electrical machines. This book serves as the first English-language overview of these phenomena, as well as developing systematically for the first time a general theory by which to understand and research them. This theory not only serves to unify analysis of disparate electrical machines, from conventional DC machines, induction machines, and synchronous machines to unconventional flux-switching permanent magnet machines, Vernier machines, doubly-fed brushless machines etc., but also paves the way towards the creation of new electrical machine topologies. General Airgap Field Modulation Theory for Electrical Machines includes both overviews of key concepts in electrical machine engineering and in-depth specialized analysis of the novel theory itself. It works through the applications of the developed theory before proceeding to both qualitative analysis of the theory’s operating principles and quantitative analysis of its parameters. Readers will also find: The collective experience of four award-winning authors with long records of international scholarship on this subject Three separate chapters covering the principal applications of the theory, with detailed examples Discussion of potential innovations made possible by this theory General Airgap Field Modulation Theory for Electrical Machines is an essential introduction to this theory for postgraduates, researchers, and electrical engineers.

Principles and Practice

General Airgap Field Modulation Theory for Electrical Machines

Deyi Li

The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with Uncertainty explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. The authors focus on the importance of natural language-the carrier of knowledge and intelligence-for artificial intelligence (AI) study. This book develops a framework that shows how uncertainty in AI expands and generalizes traditional AI. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy. With in-depth discussions on the fundamentals, methodologies, and uncertainties in AI, this book explains and simulates human thinking, leading to a better understanding of cognitive processes.

Artificial Intelligence with Uncertainty

This book investigates first language (L1) and second language (L2) use in Chinese university classrooms, focusing on the experiences of four Chinese EFL teachers who were teaching non-English major students at four different proficiency levels. It examines these four teachers' actual use of L1 and L2, including the distribution of their L1 and L2 use; the circumstances, functions and grammatical patterns of their language use; and their language use across different frames of classroom discourse. It also explores their attitudes and beliefs regarding this issue in depth, as well as their own perceptions of and reasons for their language use and possible influencing factors. Through its detailed analysis of the teachers' language use, as well as their respective beliefs and decision-making techniques, this book contributes to L2 teachers' professional development and L2 teaching in general, especially with regard to establishing a pedagogically principled approach to L1 and L2 use.

The Use of First and Second Language in Chinese University EFL Classrooms

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.

Yi Du

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