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This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Real-Time and Embedded Systems and Applications, RTCSA 2003, held in Tainan, Taiwan, in February 2003. The 28 revised full papers and 9 revised short papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on scheduling, networking and communication, embedded systems and environments, pervasive and ubiquitous computing, systems and architectures, resource management, file systems and databases, performance analysis, and tools and development.
This three-volume set constitutes the refereed proceedings of the International Conference on Computational Science and its Applications. These volumes feature outstanding papers that present a wealth of original research results in the field of computational science, from foundational issues in computer science and mathematics to advanced applications in almost all sciences that use computational techniques.
Written for those familiar with the basics and active in the area of mobile and ubiquitous computing, this volume contains papers that aid in understanding key issues and problems being tackled in the field. This text illustrates the design, implementation, and deployment of mobile and ubiquitous systems, particularly on mobile and ubiquitous environments, concepts, modeling, database components, and wireless infrastructures. It discusses new trends towards intelligent systems that aim to create software systems and discusses sensory input and multimedia information. The chapters also cover security, privacy, and trust.
Gathering selected, revised and extended contributions from the conference ‘Forecasting and Risk Management for Renewable Energy FOREWER’, which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems.
Selected, peer reviewed paper from 2011 International Conference on Advanced Materials and Computer Science (ICAMCS 2011), May 1-2, 2010 in Chengdu, China
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The directory of the artificial intelligence industry.