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Not all the problems related with the development of multiprocessor systems are addressed in th i s book. The covered range spans from the electrical and logical design problems, to architectural issues, to design methodologis for system software. Subj ects such as software development in a multiprocessor environment or loosely coupled multiprocessor systems are out of the scope of the book. Since the basic elements, processors and memories, are now available as standard integrated circuits, the key design problem is how to put them together in an efficient and reliable way.  Free Download Multi-Hazard Early Warning and Disaster Risks by Dilanthi Amaratunga English | EPUB | 2021 | 914 Pages | ISBN : 3030730026 | 137.7 MB This book presents a collection of papers under the theme of multi-hazard early warning and disaster risks. These were selected from the presentations made at the International Symposium on Tsunami and Multi-Hazard Risks, Early Warning and Community Awareness in supporting implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030. This conference aimed to recognize achievements and to highlight work that still needs to be carried out. The conference promoted collaboration among academia, research institutions and disaster management offices, and further encouraged multidisciplinary and multi-sectoral interaction.  Free Download Modern Trends and Research in Intermodal Transportation by Aleksander Sładkowski English | EPUB | 2022 | 566 Pages | ISBN : 3030871193 | 144.8 MB This book presents a specific technical solution, called intermodal transport, which became the basic technological solution that made it possible to provide global interregional transport. 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Leo Hemmen, Klaus Schulten English | PDF | 1994 | Pages | ISBN : 0387943625 | 34.9 MB Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is a short, say 1 ms, spike, localized in space and time. Spatial as well as temporal correlations of activity may represent different states of a network. In particular, temporal correlations of activity may express that neurons process the same "object" of, for example, a visual scene by spiking at the very same time. The traditional description of a neural network through a firing rate, the famous S-shaped curve, presupposes a wide time window of, say, at least 100 ms. 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