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The purpose of this book is to describe the memory system of the brain, taking into account all the levels of neural organization: molecule, cell, small network, and anatomical circuit. This synthetic approach is necessary for determining the real mechanisms among the potential ones, that is the neural bases of learning and memory in intact organisms functioning under normal conditions. For this purpose, data from molecular, cellular and behavioral neurobiology, neuropsychology, animal and human psychology, and neural modellization are comprehensively reviewed by leading specialists and brought together in an original synthesis.
Complex System Reliability presents a state-of-the-art treatment of complex multi-channel system reliability assessment and provides the requisite tools, techniques and algorithms required for designing, evaluating and optimizing ultra-reliable redundant systems. Critical topics that make Complex System Reliability a unique and definitive resource include: • redundant system analysis for k-out-of-n systems (including complex systems with embedded k-out-of-n structures) involving both perfect and imperfect fault coverage; • imperfect fault coverage analysis techniques, including algorithms for assessing the reliability of redundant systems in which each element is subject to a given coverage value (element level coverage) or in which the system uses voting to avoid the effects of a failed element (fault level coverage); and • state-of-the-art binary decision diagram analysis techniques, including the latest and most efficient algorithms for the reliability assessment of large, complex redundant systems. This practical presentation includes numerous fully worked examples that provide detailed explanations of both the underlying design principles and the techniques (such as combinatorial, recursive and binary decision diagram algorithms) used to obtain quantitative results. Many of the worked examples are based on the design of modern digital fly-by-wire control system technology. Complex System Reliability provides in-depth coverage of systems subject to either perfect or imperfect fault coverage and also the most recent techniques for correctly assessing the reliability of redundant systems that use mid-value-select voting as their primary means of redundancy management. It is a valuable resource for those involved in the design and reliability assessment of highly reliable systems, particularly in the aerospace and automotive sectors.
Provides a set of good practices related to covert channel analysis of systems employed for processing classified and other sensitive information. Written to help vendors and evaluators understand covert channel analysis requirements. Contains suggestions and recommendations. Glossary. References. Illustrations
New information technologies enable us to interact with each other in totally new ways. The Interaction Society: Theories, Practice and Supportive Technologies provides readers with a rich overview of the emerging interaction society enabled by these new information and communication technologies (ICT). Readers will gain a theoretically deep understanding of the core issues related to the character of the emerging interaction society, be exposed to empirical case studies that can help to understand the impact of this emergence through analysis of concrete examples, and benefit from descriptions of concrete design projects aimed at designing new novel information technologies to support activities in the interaction society.
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Presenting students with a comprehensive and efficient approach to the modelling, simulation, and analysis of dynamic systems, this textbook addresses mechanical, electrical, thermal and fluid systems, feedback control systems, and their combinations. It features a robust introduction to fundamental mathematical prerequisites, suitable for students from a range of backgrounds; clearly established three-key procedures – fundamental principles, basic elements, and ways of analysis – for students to build on in confidence as they explore new topics; over 300 end-of-chapter problems, with solutions available for instructors, to solidify a hands-on understanding; and clear and uncomplicated examples using MATLAB®/Simulink® and Mathematica®, to introduce students to computational approaches. With a capstone chapter focused on the application of these techniques to real-world engineering problems, this is an ideal resource for a single-semester course in dynamic systems for students in mechanical, aerospace and civil engineering.