Significant update of knowledge in the field of high-entropy materials, including promising new high-entropy ceramics High-Entropy Materials provides information on state-of-the-art development in the field of high-entropy materials, including high-entropy alloys, high-entropy ceramics, and a variety of their applications, covering many core topics to provide a thorough and detailed overview of the subject. The book also thoroughly explores the applications of high-entropy materials in various areas, such as EBC/TBC coating, superhard and wear resistance coating, nuclear energy, batteries, catalysts, thermoelectric, supercapacitors, biocompatible structure, and microelectronics. In High-Entropy Materials, readers can expect to find specific information on: Basics of high entropy materials, structural features and thermodynamics of high-entropy materials, and theoretical design in high-entropy materials Synthesis and processing of high-entropy materials and characterization of high-entropy materials, as well as their mechanical and functional properties Challenges and future directions of high-entropy materials, a relatively new type of material that has been in development only since the early 2000s How high-entropy materials are a horizon-broadening class of materials that can significantly further humanity’s pursuit of progress Focusing on the fundamentals and developments of high-entropy alloys and ceramics as well as on their microstructure and properties for a wide range of applications, High-Entropy Materials is an essential resource on the subject for materials scientists, metallurgists, mechanical engineers, and professionals in the aerospace industries.
This book provides a dynamic simulation model based on input-output table. The model includes an objective function, i.e. maximizing economic and social development and three sub-models, including economic growth model, pollutant emission model and energy balance model. The data of 2012 is selected as the base period data. The haze control policy of Hebei Province is written into the model as an exogenous variable. Reducing the total PM2.5 emissions is an environmental constraint, which is used to eliminate the impact of natural factors on environmental quality. Lingo software is used to simulate this model. By comparing the socio-economic impacts in different scenarios, this book found the most effective policy combination of haze governance. Comprehensive haze governance policy recommendations provide experience for other regions of China and other developing countries. In this book, the dynamic simulation model of haze governance also provides a reference to other environmental policy simulations. This book is divided into five parts. The first part is an introduction. This paper mainly introduces the research background, research status at home and abroad, the purpose and significance of the study, the content and methods of the study, the key scientific problems to be solved and the expected results. In the second part, the current situation and existing problems of economic, social, energy and environment development in the study area are analyzed in detail. In the third part, a comprehensive evaluation model of dynamic optimization of haze control policy is constructed. The fourth part carries on the simulation experiment, and carries on the analysis to the experimental result. The fifth part puts forward the policy suggestions to realize the economic, social, energy and environmental development of Hebei Province. In this book, we have some understandings about haze governance. From the perspective of policy effect, the policy effects of subsidy for soil and water conservation, subsidy for development and utilization of clean energy, subsidy for new energy vehicles, motor vehicle restriction and subsidy for introduction of PM2.5 treatment technology are decreasing. Comprehensive policy can better achieve the goal of sustainable development of economy, energy and environment than single policy, and the effect of "source governance" policy is better than that of "end governance" policy.
This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.
A combinatorial method is developed in this book to explore the mysteries of chaos, which has became a topic of science since 1975. Using tools from theoretical computer science, formal languages and automata, the complexity of symbolic behaviors of dynamical systems is classified and analysed thoroughly. This book is mainly devoted to explanation of this method and apply it to one-dimensional dynamical systems, including the circle and interval maps, which are typical in exhibiting complex behavior through simple iterated calculations. The knowledge for reading it is self-contained in the book.
This book presents an updated, systematic review of the latest developments in diamond CVD processes, with emphasis on the nucleation and early growth of diamond CVD. The objective is to familiarize the reader with the scientific and engineering aspects of diamond CVD, and to provide experiences researchers, scientists, and engineers in academia and industry with the latest developments in this growing field.
Despite a number of retrospective works on cultural studies, to date no other book dedicates itself to the historical and theoretical examination of British cultural studies' engagement with the »active audience theory« of the Birmingham School and its legacies. However, this book is no mere reconstruction of active audience theory as Huimin Jin develops new theoretical insights initially through a critical review of Stuart Hall's classical model of »encoding/decoding« and close readings of David Morley's groundbreaking ethnographic audience studies. Questioning the discourse model of the active audience proposed by Hall and Morley, Jin elaborates a new materialistic concept of audiences for the twenty-first century.
This is the first book to encompass the fundamental phenomenon, principles, and processes of discrete droplets of both normal liquids and melts. It provides the reader with the science and engineering of discrete droplets, and provides researchers, scientists and engineers with the latest developments in the field. The book begins with a systematic review of various processes and techniques, along with their applications and associations with materials systems. This is followed by a description of the phenomena and principles in droplet processes. Correlations, calculations, and numerical modeling of the droplet processes provide insight into the effects of process parameters on droplet properties for optimization of atomizer design. Droplets are found in the areas of metallurgy, materials, automotive, aerospace, medicine, food processing, agriculture, and power generation, and encountered in a huge range of engineering applications.
Learning and memory are intensively studied topics in modern brain and cognitive science. Drosophila has been used in the study of visual learning and memory for approximately the past 20 years. In this chapter, we discuss the architecture and function of fruit fly’s visual system, which provides it with the sensory and neural substrate for color, motion, and shape vision. We then discuss visual learning, visual memory, invariant pattern recognition, selective attention, choice behavior, context generalization, spatial learning, habit formation, cross-modal memory transform, and synergism. Finally, we address the issues of collective learning and social decision making.
This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.
This book provides a dynamic simulation model based on input-output table. The model includes an objective function, i.e. maximizing economic and social development and three sub-models, including economic growth model, pollutant emission model and energy balance model. The data of 2012 is selected as the base period data. The haze control policy of Hebei Province is written into the model as an exogenous variable. Reducing the total PM2.5 emissions is an environmental constraint, which is used to eliminate the impact of natural factors on environmental quality. Lingo software is used to simulate this model. By comparing the socio-economic impacts in different scenarios, this book found the most effective policy combination of haze governance. Comprehensive haze governance policy recommendations provide experience for other regions of China and other developing countries. In this book, the dynamic simulation model of haze governance also provides a reference to other environmental policy simulations. This book is divided into five parts. The first part is an introduction. This paper mainly introduces the research background, research status at home and abroad, the purpose and significance of the study, the content and methods of the study, the key scientific problems to be solved and the expected results. In the second part, the current situation and existing problems of economic, social, energy and environment development in the study area are analyzed in detail. In the third part, a comprehensive evaluation model of dynamic optimization of haze control policy is constructed. The fourth part carries on the simulation experiment, and carries on the analysis to the experimental result. The fifth part puts forward the policy suggestions to realize the economic, social, energy and environmental development of Hebei Province. In this book, we have some understandings about haze governance. From the perspective of policy effect, the policy effects of subsidy for soil and water conservation, subsidy for development and utilization of clean energy, subsidy for new energy vehicles, motor vehicle restriction and subsidy for introduction of PM2.5 treatment technology are decreasing. Comprehensive policy can better achieve the goal of sustainable development of economy, energy and environment than single policy, and the effect of "source governance" policy is better than that of "end governance" policy.
This book provides a dynamic simulation model based on input-output table. The model includes an objective function, i.e. maximizing economic and social development and three sub-models, including economic growth model, pollutant emission model and energy balance model. The data of 2012 is selected as the base period data. The haze control policy of Hebei Province is written into the model as an exogenous variable. Reducing the total PM2.5 emissions is an environmental constraint, which is used to eliminate the impact of natural factors on environmental quality. Lingo software is used to simulate this model. By comparing the socio-economic impacts in different scenarios, this book found the most effective policy combination of haze governance. Comprehensive haze governance policy recommendations provide experience for other regions of China and other developing countries. In this book, the dynamic simulation model of haze governance also provides a reference to other environmental policy simulations. This book is divided into five parts. The first part is an introduction. This paper mainly introduces the research background, research status at home and abroad, the purpose and significance of the study, the content and methods of the study, the key scientific problems to be solved and the expected results. In the second part, the current situation and existing problems of economic, social, energy and environment development in the study area are analyzed in detail. In the third part, a comprehensive evaluation model of dynamic optimization of haze control policy is constructed. The fourth part carries on the simulation experiment, and carries on the analysis to the experimental result. The fifth part puts forward the policy suggestions to realize the economic, social, energy and environmental development of Hebei Province. In this book, we have some understandings about haze governance. From the perspective of policy effect, the policy effects of subsidy for soil and water conservation, subsidy for development and utilization of clean energy, subsidy for new energy vehicles, motor vehicle restriction and subsidy for introduction of PM2.5 treatment technology are decreasing. Comprehensive policy can better achieve the goal of sustainable development of economy, energy and environment than single policy, and the effect of "source governance" policy is better than that of "end governance" policy.
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