This book constitutes the thoroughly refereed post-conference proceedings of the 6th International ICST Conference on Wireless Internet (WICON 2011) held in Xi'an, Shaanxi, China in October 2011. The 55 revised full papers were carefully selected from numerous submissions and focus on research in telecommunication and networking and development in information and communication technologies. The papers are presented in 10 technical sessions and cover topics as video streaming over OFDMA downlink systems, cognitive radio networks, distributed antenna systems, joint source channel coding,...
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International ICST Conference on Wireless Internet (WICON 2011) h...
This book presents recent results on nonlinear evolutionary fluid equations such as the compressible (radiative) magnetohydrodynamics (MHD) equations, compressible viscous micropolar fluid equations, the full non-Newtonian fluid equations and non-autonomous compressible Navier-Stokes equations. These types of partial differential equations arise in many fields of mathematics, but also in other branches of science such as physics and fluid dynamics.
This book will be a valuable resource for graduate students and researchers interested in partial differential equations, and will also...
This book presents recent results on nonlinear evolutionary fluid equations such as the compressible (radiative) magnetohydrodynamics (MHD) equatio...
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book:
Explains how reputation-based systems are used to determine trust in diverse online communities
Describes how machine learning techniques are employed to build robust reputation systems
Explores two...
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in va...
This work presents the application of organic semiconductor distributed feedback laser as free-space excitation source in Raman spectroscopy. Surface-enhanced Raman scattering effect is exploited to improve the detection sensitivity. The SERS condition is achiedved by using substrates consisting of gold-coated polymeric nanopillar arrays. The organic-laser-excited SERS measurements are applied to verify the concentration variation of biomolecule adenosine in aqueous solutions.
This work presents the application of organic semiconductor distributed feedback laser as free-space excitation source in Raman spectroscopy. Surface-...
