This thesis presents research focusing on the improvement of high-resolution global black carbon (BC) emission inventory and application in assessing the population exposure to ambient BC. A particular focus of the thesis is on the construction of a high-resolution (both spatial and sectorial) fuel consumption database, which is used to develop the emission inventory of black carbon. Above all,…
This interdisciplinary study promotes the thesis that some contemporary Chinese ink artists succeed in using principles of traditional Chinese aesthetics to convey the union of self with nature, others and the universe. The investigation is a case study of the writings and paintings of Jizi, an ink-wash artist in Beijing, who combines images of icy mountains, Tibetan landscapes, cosmic vistas, …
Swift OS X Programming for Absolute Beginners is your step-by-step guide to learning how to code using Swift, Apple's hottest new programming language. This book will not only teach complete programming novices how to write OS X programs, but it can also help experienced programmers moving to the Macintosh for the first time. You will learn to understand the principles of programming, how to us…
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connecte…
This brief systematically examines the trackback problem and its interaction with low-latency anonymous communication. First, it provides an overview of the common techniques a network-based attack may use to hide its origin and identity. Then the authors explore the MIX-based anonymity and the building blocks of low-latency anonymous communication. Later chapters offer a comprehensive study of…
The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These a…
This book constitutes the refereed proceedings of the Second International Conference on Internet of Vehicles, IOV 2015, held in Chengdu, China, in December 2015. The 40 full papers presented were carefully reviewed and selected from 128 submissions. They focus on the following topics: IOV architectures and applications; intelligent mobility; V2V and M2M communications; and modeling and …
This book offers a new framework that facilitates the development of more intelligent systems and methods for data analysis and international information sharing, such as the use of satellite imaging and geospatial data to predict changes in weather conditions and shifts in water levels, and to assess the extent of the forest cover remaining on Earth that is visible from space. It brings togeth…
This book presents emerging research on the effectiveness of mindfulness methods in reducing behavior problems associated with autism spectrum disorders (ASD) in children. The volume synthesizes current research and theories on the therapeutic uses of mindfulness, specifically for people living with developmental disabilities. In addition, it examines a promising new study in which mothers of c…
In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are stochastic manifolds that improve, for a given realization of the noise, in mean square error the partial…