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Hybrid Artificial Intelligence Systems
The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), as the name suggests, attracted researchers who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Hybrid intelligent systems have become increasingly po- lar given their capabilities to handle a broad spectrum of real-world complex problems which come with inherent imprecision, uncertainty and vagueness, hi- dimensionality, and nonstationarity. These systems provide us with the opportunity to exploit existing domain knowledge as well as r...
Large Scale Network-Centric Distributed Systems
A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas. Dealing with both wired and wireless networks, this book focuses on the design and performance issues of such systems. Large Scale Network-Centric Distributed Systems provides in-depth coverage ranging from ground-level hardware issues (such as buffer organization, router delay, and flow control) to the high-level issues immediately ...
Emerging Technologies and Information Systems for the Knowledge Society
This book, in conjunction with the volume CCIS 19, constitutes the refereed proceedings of theFirst World Summit, WSKS 2008, held in Athens, Greece, in September 2008. The 64 revised full papers presented were carefully reviewed and selected from 286 submissions. The papers are organized in topical sections on social & humanistic computing for the knowledge society; knowledge, learning, education, learning technologies and e-learning for the knowledge society; information technologies for the knowledge society; culture & cultural heritage - technology for culture management - management of tourism and entertainment - tourism networks in the knowledge society; government and democracy for the knowledge society.
Cognitive and Emotional Processes in Web-Based Education: Integrating Human Factors and Personalization
"This book presents theories and practical frameworks to assist educators and trainers in developing e-learning applications"--Provided by publisher.
Co-Scheduling of HPC Applications
High-performance computing (HPC) has become an essential tool in the modern world. However, systems frequently run well below theoretical peak performance, with only 5% being reached in many cases. In addition, costly components often remain idle when not required for specific programs, as parts of the HPC systems are reserved and used exclusively for applications. A project was started in 2013, funded by the German Ministry of Education and Research (BMBF), to find ways of improving system utilization by compromising on dedicated reservations for HPC codes and applying co-scheduling of applications instead. The need was recognized for international discussion to find the best solutions to t...
The Learning Grid Handbook
Grid technologies are rising with the next generation of Internet by defining a powerful computing paradigm. Grid could be used as a technology ‘glue’ providing users with a uniform way to access resources by means of several devices. These technologies can provide a support for Technology Enhanced Learning (TEL) by enabling new learning environments based on collaboration, real direct experience, personalization, ubiquity, accessibility and contextualization. Nevertheless, to be effectively used in TEL, Grid must be complemented with other elements like semantics and educational modelling; leading to the concept of ‘Learning Grid’ as defined in the homonymous Special Interest Group ...
Data Intensive Computing Applications for Big Data
The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on t...
Parallel Metaheuristics
Solving complex optimization problems with parallel metaheuristics Parallel Metaheuristics brings together an international group of experts in parallelism and metaheuristics to provide a much-needed synthesis of these two fields. Readers discover how metaheuristic techniques can provide useful and practical solutions for a wide range of problems and application domains, with an emphasis on the fields of telecommunications and bioinformatics. This volume fills a long-existing gap, allowing researchers and practitioners to develop efficient metaheuristic algorithms to find solutions. The book is divided into three parts: * Part One: Introduction to Metaheuristics and Parallelism, including an...
