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The humans have returned, and they have come in their thousands, but this time they have not come as explorers, but as settlers, and the original Martians, divided against and within themselves, find that they are displaced in new and alarming ways. They must adapt, and the planet must adapt with them, but unknown to the arriving droves, something ancient is stirring within the Martian crust...
A system may be studied by distinguishing its major components, characterizing the changes in them by differential equations that form their simplified representa tions, and then interconnecting these representations to obtain a model of the original system. Developing the model is the systems synthesis phase. The behaviour of the model may now be studied and compared with experimental results obtained from the system. This research method is called systems analysis and simulation. Systems analysis and simulation can serve to make predictions, to improve the insight in systems, and to test knowledge on consistency and completeness. Predictive models are rare in ecology, simply because the underlying processes which form the basis of the models are seldom well known. A successful example of a predictive model was the work of van Keulen (1975). He showed that under semi arid conditions, where water is the main factor controlling primary production, the simulation technique could predict the production of natural grasslands. Fair predicti ons could also be made for the Sahelian pastures (Penning de Vries & Djiteye, 1982). Predictive models of populations of different pest and disease organisms are being used in biological control systems (Zadoks et aI., 1984).
This book constitutes the refereed proceedings of the 8th International Conference on High Performance Computing, HiPC 2001, held in Hyderabad, India, in December 2001.The 29 revised full papers presented together with 5 keynote papers and 3 invited papers were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on algorithms, applications, architecture, systems software, communications networks, and challenges in networking.
University Challenge is one of the world's top quiz shows, enjoyed by millions, both participants and observers. But Discworld fans may feel that not many questions cover the real questions in Life, for example, Who or what could be seen as the inspiration for the near-tragic accident from which nanny Ogg is saved only be a special willow-reinforced hat made for her by Mr Vernissage of Slice? And give a plausible origin for Mrs Rosie Palm, proprietor of the famous House of Negotiable Affection in the Shades. Each Faculty at the Unseen University has provided a set of questions, and answers are included for those who are not sure how the poisonous effects of quicksilver fumes are an occupational hazard of magic-users. The questions have been compiled by Mr David Langford, who knows quite as much - and arguably more - about the Discworld as its Creator, and Terry Pratchett has provided an Introduction.
The inadequate use of wireless spectrum resources has recently motivated researchers and practitioners to look for new ways to improve resource efficiency. As a result, new cognitive radio technologies have been proposed as an effective solution. The Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management examines the emerging technologies being used to overcome radio spectrum scarcity. Providing timely and comprehensive coverage on topics pertaining to channel estimation, spectrum sensing, communication security, frequency hopping, and smart antennas, this research work is essential for use by educators, industrialists, and graduate students, as well as academicians researching in the field.
In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, target tracking, action selection and landmark learning, are reviewed and cluster implementations for these are presented.The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.