Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.
Advanced Seat Suspension Control System Design for Heavy Duty Vehicles provides systematic knowledge of the advanced seat suspension design and control for heavy duty vehicles. Nowadays, people are paying more and more attention to ride comfort and the health of drivers and passengers. This is especially for heavy duty vehicles, where drivers/operators are exposed to much severer vibrations than those in passenger vehicles due to a harsh working environment, operating conditions, and long hour driving, etc. Seat suspension systems can effectively help to suppress the high magnitude vibration transmitted to drivers with relatively simple structure and low cost, and hence are widely adopted in heavy duty vehicles. This book helps researchers and engineers to have a comprehensive understanding of the seat suspension system and to conduct in-depth studies on seat suspension design and control; this book covers a wide range of perspectives about seat suspension design and control methods. Describes the variable damping, variable stiffness, and, especially, variable inertance seat suspensions Provides the advanced and comprehensive knowledge about semi-active vibration control Introduces the multiple-DOF seat suspension Includes the innovative hybrid seat suspension and nonlinear seat suspension All the introduced designs have been prototyped and experimentally validated Provides Matlab Simulation programming codes
This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions. The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this book can help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT. This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful.
Number 2 diesel fuel is also a complex mixture of IVOCs, which formed 14 times higher SOA than previously reported for diesel fuel. Further, doubling NOx concentrations within relevant urban concentration levels (NO x 50 ppb) enhanced SOA formation by an additional 33%. However, when NOx levels were raised to the very high NOx concentrations ( 1.5 ppm) needed mimic the earlier studies of diesel fuel SOA, SOA formation was fourteen fold times less than the SOA formation consistent with earlier studies.
Nowadays, graph theory is an important analysis tool in mathematics and computer science. Because of the inherent simplicity of graph theory, it can be used to model many different physical and abstract systems such as transportation and communication networks, models for business administration, political science, and psychology and so on. The purpose of this book is not only to present the latest state and development tendencies of graph theory, but to bring the reader far enough along the way to enable him to embark on the research problems of his own. Taking into account the large amount of knowledge about graph theory and practice presented in the book, it has two major parts: theoretical researches and applications. The book is also intended for both graduate and postgraduate students in fields such as mathematics, computer science, system sciences, biology, engineering, cybernetics, and social sciences, and as a reference for software professionals and practitioners.
The Struggles of an Ordinary Man - The Turbulent History of China Through a Farmer's Eyes from 1900 to 2000 (Volume Two)" is the true record of one hundred years of modern history in rural areas of the Eastern Shandong Peninsula from the 1900 to 2000, including the end of the Qing Dynasty, the Anti-Japanese War (1938-1945), China's War of Liberation (1945-1949), the development of China after liberation (1950-1957), the Great Leap Forward Movement (1958-1959), the Three-year Disaster (1960-1962), the Socialist Education Movement (1964-1965), the Great Cultural Revolution (1966-1976), and the reform and opening up of China (1978-2000). This work, with the spirit of unvarnished realism and true-life style, illustrates the actual life and inner mind of an ordinary man in rural areas, and through his eyes to see the significant changes of China during the past one hundred years.
Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.
Advanced Seat Suspension Control System Design for Heavy Duty Vehicles provides systematic knowledge of the advanced seat suspension design and control for heavy duty vehicles. Nowadays, people are paying more and more attention to ride comfort and the health of drivers and passengers. This is especially for heavy duty vehicles, where drivers/operators are exposed to much severer vibrations than those in passenger vehicles due to a harsh working environment, operating conditions, and long hour driving, etc. Seat suspension systems can effectively help to suppress the high magnitude vibration transmitted to drivers with relatively simple structure and low cost, and hence are widely adopted in heavy duty vehicles. This book helps researchers and engineers to have a comprehensive understanding of the seat suspension system and to conduct in-depth studies on seat suspension design and control; this book covers a wide range of perspectives about seat suspension design and control methods. Describes the variable damping, variable stiffness, and, especially, variable inertance seat suspensions Provides the advanced and comprehensive knowledge about semi-active vibration control Introduces the multiple-DOF seat suspension Includes the innovative hybrid seat suspension and nonlinear seat suspension All the introduced designs have been prototyped and experimentally validated Provides Matlab Simulation programming codes
This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions. The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this book can help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT. This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful.
The aim of this book is to extend the application field of 'anomalous diffusion', and describe the newly built models and the simulation techniques to the models.The book first introduces 'anomalous diffusion' from the statistical physics point of view, then discusses the models characterizing anomalous diffusion and its applications, including the Fokker-Planck equation, the Feymann-Kac equations describing the functional distribution of the anomalous trajectories of the particles, and also the microscopic model — Langevin type equation. The second main part focuses on providing the high accuracy schemes for these kinds of models, and the corresponding convergence and stability analysis.
This book provides a timely and comprehensive study of developing efficient network slicing frameworks in both 5G wireless and core networks. It also presents protocol stack layer perspectives, which includes virtual network topology design, end-to-end delay modeling, dynamic resource slicing, and link-layer and transport-layer protocol customization. This book provides basic principles, concepts and technologies for communication, computing and networking. Optimization and queueing analysis techniques are applied to solving different problems for network slicing illustrated in this book as well. Researchers working in the area of network slicing in 5G networks and beyond, and advanced-level students majoring in electrical engineering, computer engineering and computer science will find this book useful as a reference or secondary textbook. Professionals in industry seeking solutions to resource management for 5G networks and beyond will also want to purchase this book.
Interaction in Mandarin Chinese and English as a Multilingua Franca: Context, Practice, and Perception proposes a model of context, practice, and perception and raises awareness of the importance of understanding language use and perception in context in order to avoid intercultural communication misunderstandings. This book provides an overview of previous research on the pragmatics of Chinese and English as a multilingua franca in multilingual contexts. It argues that context is socioculturally shaped, interactionally constructed, and personally related. Context can influence and be established by the practice and perception of communicative acts. This book also combines the proposed model with the discursive-interactional approach to uncover the interplay of context, practice, and perception of extended concurrent speech for strong disagreement by native Chinese speakers in spontaneous conversations in Mandarin and English as a multilingua franca.
This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli (MB), labeled MB (LMB), d-generalized LMB (d-GLMB), marginalized d-GLMB, together with their Gaussian mixture and sequential Monte Carlo implementations. Five extended applications are covered, which are maneuvering target tracking, target tracking for Doppler radars, track-before-detect for dim targets, target tracking with non-standard measurements, and target tracking with multiple distributed sensors. The comprehensive and systematic summarization in target tracking with RFSs is one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in target tracking with RFSs. The book benefits researchers, engineers, and graduate students in the fields of random finite sets, target tracking, sensor fusion/data fusion/information fusion, etc.
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