Yan Li

Triply Periodic Minimal Surface Lattices by Selective Laser Melting Additive Manufacturing presents the design, manufacturing, microstructure, mechanical properties and applications of TPMS structures fabricated by selective laser additive manufacturing technology. The title explains these complex and useful structures based on systematic work in the UK and China. Sections introduce structure design methods, assess TPMS structures, explain mathematical their modeling, present the manufacturing, microstructure, mechanical and fatigue properties of metal uniform TPMS structures, discuss manufacturing and mechanical responses for functionally graded TPMS structures, give numerical analysis methods for predicting the mechanics of uniform and functionally graded TPMS structures, and more.

This book focuses on the multifaceted reality of social and health constraints and health services access among migrants in China, by originally exploring the social strata, social networks, and the understanding of health and health services among migrants. Furthermore, this book investigates the health constraints and health services access of rural-urban migrants in the absence of equal social protection by the government. It argues that the main obstacles to access health services are not only the shortage of financial resources among rural-urban migrants, but also lie in the institutional blindness regarding health security provision, rural-urban dualism and the household registration system in China. The book highlights the key function that social networks play in health and health services access among migrants in China, which has rarely been discussed in previous studies. And it also discusses the understanding of health among migrants, and further analyses that althoughmany migrants have not formed proper understanding of the connotation of health and have limited knowledge of health, prime responsibility should not be put on the migrants because their poor understanding of health mainly results from their rural perspective while health and health services access depend on the social-economic environment in which they live and work. This book would be of interest to people in migration studies, social exclusion and social welfare studies and to people interested in rural-urban migration and health in China.

This book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancements, and future of natural language understanding (NLU) in human-computer interactions. To this end, the book is structured in seven chapters: Introduction to Natural Language Understanding lays the foundation by tracing the evolution of NLU from early human communication to modern human-computer interactions. Prerequisites and Glossary for Natural Language Understanding then serves as a foundational resource, consolidating essential prerequisites and key terminologies relevant across the book. Single-Turn Natural Language Understanding looks at Single-Turn NLU, focusing on tasks that involve interpreting and processing user inputs in a single interaction, while Multi-Turn Natural Language Understanding moves on systems for extended interactions with users and explores techniques for managing dialogues, using context and integrating external knowledge bases. Next, Evaluating Natural Language Understanding discusses the annotation of datasets and various performance assessment methods, covering different levels of understanding from intent recognition to slot filling and domain classification. Applications and Case Studies in Natural Language Understanding subsequently shows real-world applications of NLU in finance, medicine, and law. Eventually Challenges, Conclusions and Future Directions explores the core obstacles hindering the advancement of NLU, including ambiguity, domain adaptation, data scarcity, and ethical concerns. By understanding these challenges, this chapter highlights the ongoing work needed to advance NLU. This book mainly targets researchers, PhD students, and professionals who are entering this field and look for a state-of-the-art introduction to NLU applied in conversational systems such as chatbots, large language models, or educational systems.

This textbook provides students with an overview of cyber-physical microgrid networks and an in-depth introduction to photovoltaics, batteries, flywheel, supercapacitor, micro-turbines, wind generation, power-electronic interfaces, modeling and stability analysis of microgrids, and cyber-communication networks and security. The text helps upper-level undergraduate and graduate students gain a foundational understanding of microgrids and renewable energy, and offers an introduction to the frontier of theoretical research and practical applications of cyber-physical systems, paving the way to uncover and understand the operational mechanism of cyber-physical microgrids. The book includes examples and test systems throughout for problem-solving and will be an essential resource for students, researchers, and professionals in power engineering.

This book comprehensively and systematically introduces the microstructure characteristics of plant fibers and the manufacturing process, interface characteristics, mechanical behaviors and physical properties of plant fiber reinforced composites, as well as their engineering demonstration applications. Plant fibers derived from natural resources have been thrust into the global spotlight as environment-friendly materials with attractive advantages of renewability, biodegradability, high specific strength and modulus and good sound absorption and heat insulation performance, and have become promising alternative to traditional synthetic fibers in making fiber-reinforced composites with structure-function integration. This book combines the basic theory with engineering applications for highlighting the unique research method for plant fiber reinforced composites with hierarchical structure. It is intended for undergraduate and graduate students who are interested in natural fiber composites, and scientific researchers and engineers looking to develop the design and manufacture of green composites in the fields of aerospace, railway transportation vehicles, automotive engineering and civil infrastructures.

This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developedmethodologies that have been tested on several real-time benchmark databases.This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals.