Recent advancements in carbon and molecular electronics have opened the door to a new generation of electronic nanoscale components. This book outlines the basic principles of electromagnetic-based communication at this nanoscale using terahertz and optical frequencies with a focus on theoretical principles and applications. It answers the questions: How can nano-devices communicate with each other by applying electromagnetic techniques? Do conventional communication and networking schemes and principles still apply? How feasible is it to deploy such networks with various applications? Topics covered include an introduction to nano-communication; fundamentals and applications of nano-electromagnetic communications; simulation and experimental platforms for nano-electromagnetic communication networks; terahertz antenna design for wearable applications; terahertz application in food contamination detection; channel modelling for electromagnetic nano-communication; modulation, coding and synchronization techniques for nano-electromagnetic communications in the terahertz band; routing protocols for nano-electromagnetic communication networks; error control mechanisms for nano-electromagnetic communication networks; and conclusion and future outlook.

This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other disciplines to illustrate the methods presented. An accessible textbook for students in the fields of economics, management, mathematics, statistics, and related fields wanting to gain insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers. As the subtitle suggests, the book highlights parametric models based on normal distribution, t-distribution, normal mixture distribution, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the development of computing techniques to find the maximum likelihood estimator. It also addresses statistical process control, as well as Bayesian and regression methods. Lastly, to help readers analyze their data, it provides computer codes (R codes) for most of the statistical methods.

This SpringerBrief discusses the most recent research in the field of multimedia QoE evaluation, with a focus on how to evaluate subjective multimedia QoE problems from objective techniques. Specifically, this SpringerBrief starts from a comprehensive overview of multimedia QoE definition, its influencing factors, traditional modeling and prediction methods. Subsequently, the authors introduce the procedure of multimedia service data collection, preprocessing and feature extractions. Then, describe several proposed multimedia QoE modeling and prediction techniques in details. Finally, the authors illustrate how to implement and demonstrate multimedia QoE evaluation in the big data platform. This SpringerBrief provides readers with a clear picture on how to make full use of multimedia service data to realize multimedia QoE evaluation. With the exponential growth of the Internet technologies, multimedia services become immensely popular. Users can enjoy multimedia services from operators or content providers by TV, computers and mobile devices. User experience is important for network operators and multimedia content providers. Traditional QoS (quality of service) can not entirely and accurately describe user experience. It is natural to research the quality of multimedia service from the users' perspective, defined as multimedia quality of experience (QoE). However, multimedia QoE evaluation is difficult, because user experience is abstract and subjective, hard to quantify and measure. Moreover, the explosion of multimedia service and emergence of big data, all call for a new and better understanding of multimedia QoE. This SpringerBrief targets advanced-level students, professors and researchers studying and working in the fields of multimedia communications and information processing. Professionals, industry managers, and government research employees working in these same fields will also benefit from this SpringerBrief.

This is the first book in English to offer an extensive introduction to the Tongmunson (Selections of Refined Literature of Korea)-the largest and most important Korean literary collection created prior to the twentieth century-as well as translations of essays from key chapters. The Tongmunson was compiled in 1478 by So Kojong (1420-1488) and other Choson literati at the command of King Songjong (r. 1469-1494). It was modeled after the celebrated Chinese anthology Wen Xuan and contains poetry and prose in an extensive array of styles and genres. The Translators' Introduction begins by describing the general structure of the Tongmunson and contextualizes literary output in Korea within the great sweep of East Asian literature from the eighth to the fifteenth centuries. The entire Tongmunson as well as all of the essays selected for translation were written in hanmun (as opposed to Korean vernacular), which points to a close literary connection between the continent and the peninsula. The Introduction goes on to discuss the genres contained in the Tongmunson and examines style as revealed through prosody. The translation of two of these genres (treatises and discourses) in four books of the Tongmunson showcases prose-writing and the intellectual concerns of the age. Through their discussions of morality, nature, and the fantastic, we see Daoist, Buddhist, and Confucian themes at work in essays by some of Korea's most distinguished writers, among them Yi Kyubo, Yi Saek, Yi Chehyon, and Chong Tojon. The translations also include annotations and extensive cross-references to classical allusions in the Chinese canon, making the present volume an essential addition to any East Asian literature collection.