This brief explores current research on dynamic spectrum auctions, focusing on fundamental auction theory, characteristics of the spectrum market, spectrum auction architecture and possible auction mechanisms. The brief explains how dynamic spectrum auctions, which enable new users to gain spectrum access and existing spectrum owners to obtain financial benefits, can greatly improve spectrum ef…
This book shares the goal of the classic text How to Lie with Statistics, namely, preventing and correcting statistical misconceptions that are common among practitioners, though its focus is on the educational context. It illustrates and discusses the essentials of educational statistics that will help educational practitioners to do this part of their job properly, i.e., without making concep…
Supercomputing facilities are becoming increasingly available in neuroscience, predominantly for simulating the dynamics of electrical activity propagating through neuronal circuits. On today's most advanced supercomputers, large-scale models can be simulated with up to a billion of neurons. However, merely further increasing the number of neurons and synapses will not be sufficient to create b…
This book provides readers with a state-of-the-art description of techniques to be used for ultra-low-power (ULP) and ultra-low-cost (ULC), short-range wireless receivers. Readers will learn what is required to deploy these receivers in short-range wireless sensor networks, which are proliferating widely to serve the internet of things (IoT) for “smart cities.” The authors address key chall…
This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car-following model to describe drivers’ random choices concerning headways/spacings, putting forward a stochastic fundamental diagram model for w…
This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides e…
Optics and photonics offer new and vibrant approaches to meeting the challenges of the 21st century concerning energy conservation, education, agriculture, personal health and the environment. One of the most effective ways to address these global problems is to provide updated and reliable content on light-based technologies. Optical thin films and meta-materials, lasers, optical communication…
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book…
This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to prese…
This study focuses on the effects of market reform on the life chances of rural people in China. Based on comparative ethnographical evidence from three townships of rural Guangdong province, this book provides a more recent and detailed story about the social inequality in rural China, a further explanation for the institutional analysis on the social stratification of China, a new typology of…