Bøger af Wei Wang

The book explores how ethnic minority culture is integrated into school practices inside and outside classrooms in Southwest China.

Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties.Based on the basic graph theory and adaptive backstepping control, this monograph: - Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control- Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers- Explores adaptive finite-time consensus for uncertain nonlinear systems- Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback- Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification- Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communicationDistributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources.

This volume demonstrates advanced strategies in biomedical sciences and healthcare focused on suboptimal health conditions in the framework of Predictive, Preventive and Personalised Medicine (3PM/PPPM). Potential benefits in healthcare systems and for society at large include but are not restricted to an improved life-quality of major populations and socio-economical groups, advanced professionalism of healthcare-givers and sustainable healthcare economy. ​Reactive medical services applied to healthcare resulted in epidemics of non-communicable diseases such as diabetes mellitus type 2 with currently about a half of billion patients registered worldwide. Far-reaching consequences are cascading co-morbidities with poor prognosis such as severe cardiovascular and neurological disorders, eye pathologies (e.g., proliferative diabetic retinopathy as the world leading cause of blindness) and several types of cancer, amongst others. Corresponding socio-economic burden istremendous. The paradigm changes from reactive medicine to PPPM propagated by EPMA is, therefore, pivotal for advanced healthcare to improve the economy of medical services, life quality of populations and individual outcomes. To this end, individuals with suboptimal health condition comprise the target group for predictive diagnostics and cost-effective personalised treatments to protect affected individuals and sub-populations against health-to-disease transition, a window of opportunity for PPPM. This goal is of highest priority benefiting millions of people and societies at large.

The development of nanotechnology and energy-related technologies in the past three decades has led to an increased interest in the application of carbon fiber-based materials in electrochemical energy storage devices, such as supercapacitors, Li/Na-ion batteries. However, the electrochemical performance of carbon fiber-based materials is closely related to their structure and fabrication methods. Therefore, how to control the micro-nanostructure of carbon fiber-based materials and gain a deep understanding of the relationship between their electrochemical performance, structure, and fabrication methods is an essential requirement for expanding the application of these materials in electrochemical energy storage devices. This book provides a comprehensive overview of the preparation of carbon fiber-based materials, structural control, and the optimization of their electrochemical performance when used as negative electrodes in Li/Na-ion batteries. It is intended to serve as a guide for researchers and practitioners in the field, offering both theoretical and experimental evidence for the electrochemical applications of carbon fiber-based materials.

This book constitutes the refereed post-conference proceedings of the 13th EAI International Conference on Broadband Communications, Networks, and Systems, Broadnets 2022, which took place in March 2023. Due to COVID-19 pandemic the conference was held virtually. The 9 full papers presented were carefully reviewed and selected from 23 submissions. The papers are thematically grouped as follows: Mobile Communication Networks; Mobile Software Security; and Algorithm, Model and Application. The scope of this conference is the 5G-enabled digital society.

In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful.

This book brings together papers presented at the 3rd International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE, etc).

This book constitutes the refereed proceedings of the 13th International Conference on Web-Age Information Management, WAIM 2012, held in Harbin, China in August 2012. The 32 revised full papers presented together with 10 short papers and three keynotes were carefully reviewed and selected from a total of 178 submissions. The papers are organized in topical sections on wireless sensor networks; data warehousing and data mining; query processing; spatial databases; similarity search and queries; XML and Web data; graph and uncertain data; distributed computing; data security and management; information extraction and integration; and social networks and modern Web services.

Cognitive radio is a hot research area for future wireless communications in the recent years. In order to increase the spectrum utilization, cognitive radio makes it possible for unlicensed users to access the spectrum unoccupied by licensed users. Cognitive radio let the equipments more intelligent to communicate with each other in a spectrum-aware manner and provide a new approach for the co-existence of multiple wireless systems. The goal of this book is to provide highlights of the current research topics in the field of cognitive radio systems. The book consists of 17 chapters, addressing various problems in cognitive radio systems.

This book puts forward the concept of the Diameter-Transformed Fluidized Bed (DTFB): a fluidized bed characterized by the coexistence of multiple flow regimes and reaction zones, achieved by transforming the bed into several sections of different diameters.

This book contributes insights into second language (L2) students' learning of academic genres in English for academic purposes (EAP) writing classes by its focus on the current EAP practice in the context of higher education of China. It presents knowledge construction of genre learning research in L2 writing and English for specific purposes (ESP) genre studies, and reports an in-depth qualitative inquiry into three issues of instruction-based genre learning in an academic writing class: students' learning process of an academic genre in the community of an EAP writing class, students' individual factors in the learning process, and genre knowledge development through engagement in genre-focused writing instruction. The book has theoretical implications for learning English for academic purposes as well as for learning English as a foreign language in general. It also has pedagogical implications for genre teaching in EAP at Chinese universities and similar educational contexts.

This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies.

This book combines multiple research methods, experiment, survey, and design science, as well as traditional measurements and neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more solid and comprehended research findings.

This book examines media representation of migrant workers in China. Drawing on discourse analysis and sociolinguistic theories, it investigates how identities of and stances towards migrant workers were constructed and mediated in media with a view to exploring the interrelationship between media representation and social change in China.

This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies.