Distributed-order differential equations, a generalization of fractional calculus, are of increasing importance in many fields of science and engineering from the behaviour of complex dielectric media to the modelling of nonlinear systems. This Brief will broaden the toolbox available to researchers interested in modeling, analysis, control and filtering. It contains contextual material outlining the progression from integer-order, through fractional-order to distributed-order systems. Stability issues are addressed with graphical and numerical results highlighting the fundamental differences between constant-, integer-, and distributed-order treatments. The power of the distributed-order model is demonstrated with work on the stability of noncommensurate-order linear time-invariant systems. Generic applications of the distributed-order operator follow: signal processing and viscoelastic damping of a mass–spring set up. A new general approach to discretization of distributed-order derivatives and integrals is described. The Brief is rounded out with a consideration of likely future research and applications and with a number of MATLAB® codes to reduce repetitive coding tasks and encourage new workers in distributed-order systems.
This book examines the comprehensive engineering education reform since China put forward its New Engineering Education policy in early 2017. It presents systematic reform measures at micro-level, such as national policies on massively building up new programs that cater to emerging state-of-the-art technologies in the industry, on developing synergistic approaches to education through tightened university–industry collaboration, and on formulating the four-level quality assurance mechanisms. The book also addresses meso-level institutional schemes and implementations at several case universities researched, and micro-level issues directly regarding teaching and student learning based on empirical studies. Overall, this book provides the international community the knowledge of how international benchmarking of university engineering education is reflected in the Chinese context, and helps readers to gain an understanding the success and failure of different practices in achieving relevant reform goals.
This book is suitable for front-line personnel engaged in the design, construction and maintenance of tramway track engineering as a technical reference, and also provides theoretical reference for researchers in related fields.
This book studies China’s urbanization with the theory of production of space. The authors redefine the production of space and build a new theoretical framework for understanding the evolving relations between urbanization and spatial production. Since the reform and opening-up, especially in the last twenty years, the logic of spatial production has dominated China’s urbanization. The authors choose the most representative cases, such as the Yangtze River Delta Urban Agglomeration, Jiangsu Province, National High-tech Industrial Development Zone, New Urban District, State-Level New Area, University Town, and some villages, to conduct a series of empirical studies on production of space at the macro-, meso-, and micro-scales. Through an in-depth analysis of the interaction between social spaces and urbanization influenced by power, capital, and class, the book reveals that the essence of China’s urbanization is dominated by the logic of spatial production. The authors finally propose that an important shift toward humanism should be made in the future development of China’s new-type urbanization, emphasizing more even and adequate development between different regions and between urban and rural areas, which also provides new ideas for the theory and practice of urbanization worldwide. This book can be read and referenced by researchers in the fields of urban and regional studies, geography, sociology, urban and rural planning, management, etc. It can also be used as a teaching reference book for teachers, researchers, and students of scientific research institutions in related fields.
This book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, privacy-aware Internet of Things (IoT) communications, intelligent resource management and location privacy protection. In the IRS aided maritime communication system, the reflecting elements of IRS can be intelligently controlled to change the phase of signal, and finally enhance the received signal strength of maritime ships (or sensors) or jam maritime eavesdroppers illustrated in this book. The power and spectrum resource in maritime communications can be jointly optimized to guarantee the quality of service (i.e., security and reliability requirements), and reinforcement leaning is adopted to smartly choose the resource allocation strategy. Moreover, learning based privacy-aware offloading and location privacy protection are proposed to intelligently guarantee the privacy-preserving requirements of maritime ships or (sensors). Therefore, these communication schemes based on reinforcement learning algorithms can help maritime communication systems to improve the information security, especially in dynamic and complex maritime environments. This timely book also provides broad coverage of the maritime wireless communication issues, such as reliability, security, resource management, and privacy protection. Reinforcement learning based methods are applied to solve these issues. This book includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students. Practitioners seeking solutions to maritime wireless communication and security related issues will benefit from this book as well.
This book provides a timely and comprehensive study of dynamic resource management for network slicing in service-oriented fifth-generation (5G) and beyond core networks. This includes the perspective of developing efficient computation resource provisioning and scheduling solutions to guarantee consistent service performance in terms of end-to-end (E2E) data delivery delay. Network slicing is enabled by the software defined networking (SDN) and network function virtualization (NFV) paradigms. For a network slice with a target traffic load, the E2E service delivery is enabled by virtual network function (VNF) placement and traffic routing with static resource allocations. When data traffic enters the network, the traffic load is dynamic and can deviate from the target value, potentially leading to QoS performance degradation and network congestion. Data traffic has dynamics in different time granularities. For example, the traffic statistics (e.g., mean and variance) can be non-stationary and experience significant changes in a coarse time granularity, which are usually predictable. Within a long time duration with stationary traffic statistics, there are traffic dynamics in small timescales, which are usually highly bursty and unpredictable. To provide continuous QoS performance guarantee and ensure efficient and fair operation of the network slices over time, it is essential to develop dynamic resource management schemes for the embedded services in the presence of traffic dynamics during virtual network operation. Queueing theory is used in system modeling, and different techniques including optimization and machine learning are applied to solving the dynamic resource management problems. Based on a simplified M/M/1 queueing model with Poisson traffic arrivals, an optimization model for flow migration is presented to accommodate the large-timescale changes in the average traffic rates with average E2E delay guarantee, while addressing a trade-off between load balancing and flow migration overhead. To overcome the limitations of Poisson traffic model, the authors present a machine learning approach for dynamic VNF resource scaling and migration. The new solution captures the inherent traffic patterns in a real-world traffic trace with non-stationary traffic statistics in large timescale, predicts resource demands for VNF resource scaling, and triggers adaptive VNF migration decision making, to achieve load balancing, migration cost reduction, and resource overloading penalty suppression in the long run. Both supervised and unsupervised machine learning tools are investigated for dynamic resource management. To accommodate the traffic dynamics in small time granularities, the authors present a dynamic VNF scheduling scheme to coordinate the scheduling among VNFs of multiple services, which achieves network utility maximization with delay guarantee for each service. Researchers and graduate students working in the areas of electrical engineering, computing engineering and computer science will find this book useful as a reference or secondary text. Professionals in industry seeking solutions to dynamic resource management for 5G and beyond networks will also want to purchase this book.
This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as security, and network selection. Machine learning based methods are applied to solve these issues. This book also includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues. This book will also help readers understand how to use machine learning to address the security and communication challenges in VANETs. Vehicular ad-hoc networks (VANETs) support vehicle-to-vehicle communications and vehicle-to-infrastructure communications to improve the transmission security, help build unmanned-driving, and support booming applications of onboard units (OBUs). The high mobility of OBUs and the large-scale dynamic network with fixed roadside units (RSUs) make the VANET vulnerable to jamming. The anti-jamming communication of VANETs can be significantly improved by using unmanned aerial vehicles (UAVs) to relay the OBU message. UAVs help relay the OBU message to improve the signal-to-interference-plus-noise-ratio of the OBU signals, and thus reduce the bit-error-rate of the OBU message, especially if the serving RSUs are blocked by jammers and/or interference, which is also demonstrated in this book. This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues.
The Zhuangzi is one of the great classic Taoist texts. Zhuangzi (or Zhuang Tzu) himself was born during the upheavals and chaos of China' s Warring States period (475&– 221 BC). His outstanding written style, vivid and fantastical imagination and marvelous fables exercised a profound influence on the formation of traditional Chinese culture, whilst he himself occupied a commanding position amongst the thinkers of the day. He disdained worldly fame and profit and lived in transcendent calm and unaffected ease. Amidst the rush, busyness and ever-increasing tempo of life today it is easy to become lost and exhausted. However, Zhuangzi and his wisdom can teach us how to find spiritual comfort in this vast world of ours.This book takes the essence of Zhuangzi' s classic and in a single phrase or topic or even a story in its commentary provides us with a concise and original interpretation in an easily understood form. It combines the philosophy of the classic with modern life and takes the reader through 1,000 years of history. In this dialogue with the sages of Chinese philosophy there is both an exchange and collision of ideas that absorb a life force from their wisdom, provide an understanding of the real meaning of life and place us in the modern world, calm and confident in our conduct.Open this book and then, like the kunpeng, journey at will in the liberated poetic world of Zhuangzi.
Practical and Theoretical Geoarchaeology, Second Edition, provides an invaluable and vastly updated overview of geoarchaeology and how it can be used effectively in the study of archaeological sites and contexts. Taking a pragmatic and functional approach, this book presents: a fundamental, broad-based perspective of the essentials of modern geoarchaeology in order to demonstrate the breadth of the approaches and the depth of the problems that it can tackle. the rapid advances made in the area in recent years, but also gives the reader a firm grasp of conventional approaches. covers traditional topics with the emphasis on landscapes, as well as anthropogenic deposits and site formation processes and their investigation. provides guidelines for the presentation of field and laboratory methods and the reporting of geoarchaeological results. essential reading for archaeology undergraduate and graduate students, practicing archaeologists and geoscientists who need to understand and apply geoarchaeological methodologies, and help foster the dialog among diverse researchers investigating archaeological sites. Practical and Theoretical Geoarchaeology, Second Edition, is an ideal resource for undergraduate and graduate students in archaeology, and a great practical reference for practicing archaeologists and geoscientists who need to understand and apply geoarchaeological methodologies internationally.
Extended Finite Element and Meshfree Methods provides an overview of, and investigates, recent developments in extended finite elements with a focus on applications to material failure in statics and dynamics. This class of methods is ideally suited for applications, such as crack propagation, two-phase flow, fluid-structure-interaction, optimization and inverse analysis because they do not require any remeshing. These methods include the original extended finite element method, smoothed extended finite element method (XFEM), phantom node method, extended meshfree methods, numerical manifold method and extended isogeometric analysis. This book also addresses their implementation and provides small MATLAB codes on each sub-topic. Also discussed are the challenges and efficient algorithms for tracking the crack path which plays an important role for complex engineering applications. - Explains all the important theory behind XFEM and meshfree methods - Provides advice on how to implement XFEM for a range of practical purposes, along with helpful MATLAB codes - Draws on the latest research to explore new topics, such as the applications of XFEM to shell formulations, and extended meshfree and extended isogeometric methods - Introduces alternative modeling methods to help readers decide what is most appropriate for their work
This thesis focuses on the design and synthesis of novel one-dimensional colloidal chalcogenide hetero-nanostructures for enhancing solar energy conversion applications. Semiconducting nanomaterials are particular attractive for energy conversion due to the quantum confinement effects dictating their unique optical and electronic properties. Steering the photo-induced charge-flow based on unique bandgap alignment in semiconductor heterojunctions is critical for photo-electric/chemical conversion. The author presents the controllable preparation strategies to synthesize 1D chalcogenide hetero-nanostructures with various fine structures, further been used as excellent template materials for preparing other novel and complex hybrid architectures through a series of chemical transformations. The heterogeneous growth mechanisms of novel hetero-nanostructures is studied for developing a facile and general method to prepare more novel heterostructures. The band gap structure simulations, detailed charge carrier behaviour and unique solar energy conversion properties of the prepared hybrid nanostructures are deeply investigated. This work would open a new door to rationally designing hybrid systems for photo-induced applications.
Based on a case study of engineering teaching in China’s higher education sector, this book unravels the interlocking influencing factors that condition the experience of engineering faculty members along with multiple stakeholders’ expectations of engineering teaching. What motivates and demotivates a university instructor to provide excellent teaching, especially in the disciplines where effective instructor guidance is crucial for student learning? This book gives evidence-based answers to this research question, drawing upon a social realist framework in relation to the disciplinary features of engineering and based on both qualitative and quantitative methods. It expatiates upon structural, cultural, and reflexive factors concerning both the academic profession and industry and how teaching behaviors are shaped. In doing so, the author advances pragmatic suggestions for higher education reform under the prevalent performance management systems, posing implications for global higher education in regard to what structural arrangements and cultural milieu should be in place to unleash the potential of engineering teaching. The book will appeal to scholars of higher education, Chinese and comparative education, and education sociology, and academics and policy-makers interested in engineering education and teacher education.
Distributed-order differential equations, a generalization of fractional calculus, are of increasing importance in many fields of science and engineering from the behaviour of complex dielectric media to the modelling of nonlinear systems. This Brief will broaden the toolbox available to researchers interested in modeling, analysis, control and filtering. It contains contextual material outlining the progression from integer-order, through fractional-order to distributed-order systems. Stability issues are addressed with graphical and numerical results highlighting the fundamental differences between constant-, integer-, and distributed-order treatments. The power of the distributed-order model is demonstrated with work on the stability of noncommensurate-order linear time-invariant systems. Generic applications of the distributed-order operator follow: signal processing and viscoelastic damping of a mass–spring set up. A new general approach to discretization of distributed-order derivatives and integrals is described. The Brief is rounded out with a consideration of likely future research and applications and with a number of MATLAB® codes to reduce repetitive coding tasks and encourage new workers in distributed-order systems.
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