The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for the modelling and lifecycle analysis of human activities and behaviours based on real-time sensing observations from sensor networks and the Internet of Things. It also covers inference and decision-support methods and mechanisms, as well as personalization and adaptation techniques, which are required for emerging smart human-machine pervasive systems, such as self-management and assistive technologies in smart healthcare. Each chapter includes theoretical background, technological underpinnings and practical implementation, and step-by-step information on how to address and solve specific problems in topical areas. This monograph can be used as a textbook for postgraduate and PhD students on courses such as computer systems, pervasive computing, data analytics and digital health. It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few. Moreover, it offers smart technology and application developers practical insights into the use of activity recognition and behaviour analysis in state-of-the-art cyber-physical systems. Lastly, it provides healthcare solution developers and providers with information about the opportunities and possible innovative solutions for personalized healthcare and stratified medicine.
This work investigates the development of English as a Foreign Language (EFL) learners’ generic competence in reading, writing and translation within the particular Chinese classroom context. It provides a new perspective for the current teaching and research in reading, writing, translation within the EFL contexts and offers an insightful framework for pedagogical applications in language learning and teaching. Its findings will be extremely valuable not only in local situations, but also more generally in a wider regional and global context as well. The book employs a series of research tools, including pre-research and post-research questionnaires, pre-test and post-test of reading/writing/translation, multi-faceted writing portfolios (including reflection reports), textual analysis and in-depth interviews. It involves 209 participants from a primary university in Wuhan, among whom 171 are undergraduates and 38 are postgraduates. And it draws on the analysis of such varied multi-sourced data both qualitatively and quantitatively. Genre-based teaching is playing a critical role in initiating EFL learners into the discourse community of the target language. Developing EFL learners’ generic competence is viewed as the ultimate goal in the process of teaching and learning. This monograph effectively demonstrates that like genre-based English for Specific Purposes (ESP) pedagogies, it is also possible to take advantage of already acquired genre knowledge for use in EFL learning contexts. It offers an impressive view of the direction in which genre-based applications are likely to take in the coming years.
Computational fluid dynamics (CFD) has been widely applied in a wide variety of industrial applications, including aeronautics, astronautics, energy, chemical, pharmaceuticals, power and petroleum.This unique compendium documents the recent developments in CFD based on kinetic theories, introducing flux reconstruction strategies of kinetic methods for the simulation of complex incompressible and compressible flows, namely the lattice Boltzmann and the gas kinetic flux solvers (LBFS or GKFS). LBFS and GKFS combine advantages of both Navier-Stokes (N-S) solvers and kinetic solvers.Detailed derivations, evaluations and applications of LBFS and GKFS, and their advantages over conventional flux reconstruction strategies are analyzed and discussed in the volume.The must-have reference text is useful for scholars, researchers, professionals and students who are keen in CFD methods and numerical simulations.
High field laser physics emerged with the advent of ultrashort intense lasers about 25 years ago. It has developed into a frontier of cross-disciplinary studies, covering attosecond X-ray physics, particle accelerator physics, and physics of inertial confined fusion, etc., with prospects of wide applications. Because this is a new and rapidly developing field, so far there are only 2-3 related books available. There are a few review articles in some journals, which are limited to specific topics in high field physics. There are quite a few conference proceedings in this field, which are the collections of papers presented at conferences. In this book, a few leading experts working on different subjects in this field are invited to introduce the key topics in high field laser physics, which cover the involved fundamental physics, the recent advances, as well as the prospects of future applications. It shall be very useful to graduate students, young researchers, and people who want to have an overview of this field.
This book was originally pubished in 2000. China is the largest developing country in the world and is still heavily based on agriculture. Currently, about 70 per cent of China's total of more than one bilion people live in rural areas, and about half of the total national labour force is involved in agricultural activities. It is clear that agriculture is the foundation for the development of the Chinese national economy. Within agriculture, the grain economy is the most important sector: indeed it has been recognised as a treasure in managing the country by all past Chinese dynasties. Ensuring enough grain supply to meet the demands of such a huge population seems to be a long-term goal for the Chinese government and this book explores whether China will be able to produce enough grain to keep pace with its population increases.
Ubicomp '11: The 2011 ACM Conference on Ubiquitous Computing Sep 17, 2011-Sep 21, 2011 Beijing, China. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applications Is unique in emphasizing the practical utility of attention mechanisms Includes a number of real-world examples that readers can implement in their own work: robot navigation and object selection image and video quality assessment image and video coding Provides codes for users to apply in practical attentional models and mechanisms
This book was originally pubished in 2000. China is the largest developing country in the world and is still heavily based on agriculture. Currently, about 70 per cent of China's total of more than one bilion people live in rural areas, and about half of the total national labour force is involved in agricultural activities. It is clear that agriculture is the foundation for the development of the Chinese national economy. Within agriculture, the grain economy is the most important sector: indeed it has been recognised as a treasure in managing the country by all past Chinese dynasties. Ensuring enough grain supply to meet the demands of such a huge population seems to be a long-term goal for the Chinese government and this book explores whether China will be able to produce enough grain to keep pace with its population increases.
Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical examples taken from real-life research problems in
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