Climate change is an inevitable and urgent global challenge with long-term implications for the sustainable development of all countries. To overcome this human crisis, the scientific consensus is driving global action towards low carbon economics. Though this action has to involve all sectors (industries, governments, and citizens) and at all levels (global, national and regional levels), the implementation of climate strategies will predominantly be at the regional level. By establishing an innovative range of model technologies, this book aims to develop systematic quantificational methods, such as uncertain multi-objective programming models and system dynamics models, to provide a new approach to low carbon economics that can serve as a paradigm for general regions. At the same time, it offers decision makers a number of effective strategies for some key issues in regional low carbon development, such as greenhouse gas control, ecological capacity evaluation, regional economic prediction, energy structure optimization, land resource utilization, industrial structure adjustment, low carbon industrial chains, low carbon transportation systems and low carbon tourism. It also provides researchers with a new perspective on how to address social problems using quantitative techniques.
What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some descriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.
This book investigates how schools, enterprises and families in China have coped with the formal online education in the light of government policy throughout the COVID-19 epidemic outbreak, with special focus on the problems they have encountered and possible solutions. Using grounded theory, over 1000 posts retrieved from public online forums were analyzed under a 4*4 framework, referring to four special time nodes (proposal period, exploratory period, full deployed period, exiting period) and four major subjects (government, schools, enterprises, families). The book identifies four main issues faced by massive online education during the epidemic: platform selection in proposal period, teacher training in exploratory period, resource integration in full deployed period, and flexibility of returning to schools in exiting period. These findings enlighten us with a deeper understanding of the process of online learning in an educational emergency, helping to develop best countermeasures in similar situations, as well as to provide paths to follow for other countries. The book will appeal to teachers, researchers and school administrators of the online education and education emergency management, as well as those who are interested in Chinese education during the COVID-19 outbreak in general.
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.
This book states that a space-induced crisis is recognized as the cause of trouble that Moore’s Law is currently facing. The contemporary practice of this empirical law can be considered as happening within a space-dominant paradigm. An alternative of exploiting potential in the dimension of time is identified as an emerging paradigm in microelectronics. The new practice is termed a time-oriented paradigm. It is justified as the turn of Moore’s Law from space to time. The resultant Time-Moore strategy is envisioned as the next-generation enabler for continuing Moore’s Law’s pursuit of everhigher information processing power and efficiency. It also serves as the perpetuation of the spirit that Moore’s law is nothing but a collective storied history of innovations. In the first part of this book, by following Thomas Kuhn’s seminal work around the concepts of paradigm and scientific revolution, the argument for the Time-Moore strategy (Time-Moore: to use time more) and the paradigm shift from space to time is carried out heavily through philosophical persuasion rather than technical proof due to the difficult challenge of change-of-mindset. The second part of the book provides solid technical materials for supporting this transition from the old paradigm to the new one. In short, the goal of this book is to reevaluate the contemporary practice of microelectronics, identify the cause of the current crisis, advocate a change-of-mindset to circumvent the crisis, and ultimately point out a new route for advancing. After achieving so many unprecedented accomplishments through several decades of relentless endeavor, it’s time for the big ship of Moore’s Law (i.e., the art of microelectronic system design) to make a turn.
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
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
The age of nanotechnology is upon us. Engineering at the molecular level is no longer a computer-generated curiosity and is beginning to affect the lives of everyone. Molecules which can respond to their environment and the smart machines we can build with them are and will continue to be a vital part of this 21st-century revolution. Liming Dai presents the latest work on many newly-discovered intelligent macromolecular systems and reviews their uses in nano-devices. Intelligent Macromolecules for Smart Devices features: - An accessible assessment of the properties and materials chemistry of all the major classes of intelligent macromolecules from optoelectronic biomacromolecules to dendrimers, artificial opals and carbon nanotubes - In-depth analysis of various smart devices including a critique of the suitability of different molecules for building each type of device - A concise compilation of the practical applications of intelligent macromolecules including sensors and actuators, polymer batteries, carbon-nanotube supercapacitors, novel lasing species and photovoltaic cells As an exposition of cutting-edge research against a backdrop of comprehensive review, Intelligent Macromolecules for Smart Devices will be an essential addition to the bookshelf of academic and industrial researchers in nanotechnology. Graduate and senior undergraduate students looking to make their mark in this field of the future will also find it most instructive.
Climate change is an inevitable and urgent global challenge with long-term implications for the sustainable development of all countries. To overcome this human crisis, the scientific consensus is driving global action towards low carbon economics. Though this action has to involve all sectors (industries, governments, and citizens) and at all levels (global, national and regional levels), the implementation of climate strategies will predominantly be at the regional level. By establishing an innovative range of model technologies, this book aims to develop systematic quantificational methods, such as uncertain multi-objective programming models and system dynamics models, to provide a new approach to low carbon economics that can serve as a paradigm for general regions. At the same time, it offers decision makers a number of effective strategies for some key issues in regional low carbon development, such as greenhouse gas control, ecological capacity evaluation, regional economic prediction, energy structure optimization, land resource utilization, industrial structure adjustment, low carbon industrial chains, low carbon transportation systems and low carbon tourism. It also provides researchers with a new perspective on how to address social problems using quantitative techniques.
This book investigates how schools, enterprises and families in China have coped with the formal online education in the light of government policy throughout the COVID-19 epidemic outbreak, with special focus on the problems they have encountered and possible solutions. Using grounded theory, over 1000 posts retrieved from public online forums were analyzed under a 4*4 framework, referring to four special time nodes (proposal period, exploratory period, full deployed period, exiting period) and four major subjects (government, schools, enterprises, families). The book identifies four main issues faced by massive online education during the epidemic: platform selection in proposal period, teacher training in exploratory period, resource integration in full deployed period, and flexibility of returning to schools in exiting period. These findings enlighten us with a deeper understanding of the process of online learning in an educational emergency, helping to develop best countermeasures in similar situations, as well as to provide paths to follow for other countries. The book will appeal to teachers, researchers and school administrators of the online education and education emergency management, as well as those who are interested in Chinese education during the COVID-19 outbreak in general.
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