A modern microelectronic circuit can be compared to a large construction, a large city, on a very small area. A memory chip, a DRAM, may have up to 64 million bit locations on a surface of a few square centimeters. Each new generation of integrated circuit- generations are measured by factors of four in overall complexity -requires a substantial increase in density from the current technology, added precision, a decrease of the size of geometric features, and an increase in the total usable surface. The microelectronic industry has set the trend. Ultra large funds have been invested in the construction of new plants to produce the ultra large-scale circuits with utmost precision under the most severe conditions. The decrease in feature size to submicrons -0.7 micron is quickly becoming availabl- does not only bring technological problems. New design problems arise as well. The elements from which microelectronic circuits are build, transistors and interconnects, have different shape and behave differently than before. Phenomena that could be neglected in a four micron technology, such as the non-uniformity of the doping profile in a transistor, or the mutual capacitance between two wires, now play an important role in circuit design. This situation does not make the life of the electronic designer easier: he has to take many more parasitic effects into account, up to the point that his ideal design will not function as originally planned.
Complex function theory and linear algebra provide much of the basic mathematics needed by engineers engaged in numerical computations, signal processing or control. The transfer function of a linear time invariant system is a function of the complex vari able s or z and it is analytic in a large part of the complex plane. Many important prop erties of the system for which it is a transfer function are related to its analytic prop erties. On the other hand, engineers often encounter small and large matrices which describe (linear) maps between physically important quantities. In both cases similar mathematical and computational problems occur: operators, be they transfer functions or matrices, have to be simplified, approximated, decomposed and realized. Each field has developed theory and techniques to solve the main common problems encountered. Yet, there is a large, mysterious gap between complex function theory and numerical linear algebra. For example, complex function theory has solved the problem to find analytic functions of minimal complexity and minimal supremum norm that approxi e. g. , as optimal mate given values at strategic points in the complex plane. They serve approximants for a desired behavior of a system to be designed. No similar approxi mation theory for matrices existed until recently, except for the case where the matrix is (very) close to singular.
Have the squadron leaders over southern England in that long autumn of 1940, and their supporting flight commanders who led the squadrons into battle, had been neglected in the history books? Patrick Eriksson thinks so.
Including the latest developments in design, optimisation, manufacturing and experimentation, this text presents a wide range of topics relating to advanced types of structures, particularly those based on new concepts and new types of materials.
In international relations (IR), the theory of constructivism argues that the complicated web of international relations is not the result of basic human nature or some other unchangeable aspect but has been built up over time and through shared assumptions. Constructivism Reconsidered synthesizes the nature of and debates on constructivism in international relations, providing a systematic assessment of the constructivist research program in IR to answer specific questions: What extent of (dis)agreement exists with regard to the meaning of constructivism? To what extent is constructivism successful as an alternative approach to rationalism in explaining and understanding international affairs? Constructivism Reconsidered explores constructivism’s theoretical, empirical, and methodological strengths and weaknesses, and debates what these say about its past, present, and future to reach a better understanding of IR in general and how constructivism informs IR in particular.
The study describes the origins of the Southwest Mongolia vicariate beyond the Great Wall and along the Yellow River Bend during the transition period from Lazarist missionary activities in the 1840s to the Scheutists in the early 1870
Presenting the latest research discussed at the Twelfth International Conference on Computer Aided Optimum Design in Engineering, this book contains papers describing case studies in engineering; considering static, dynamic analysis and damage tolerance. Manufacturing and structural protection issues are discussed as well as emergent applications in fields such as biomechanics. Contributions also include numerical methods and different optimisation techniques.Nowadays, it is widely accepted that optimisation techniques have much to offer to those involved in the design of new industrial products. The formulation of optimum design has evolved from the time it was purely an academic topic, unable now to satisfy the requirements of real life prototypes. The development of new algorithms, the improvement of others, the appearance of powerful commercial computer codes with easy to use graphical interfaces and the revolution in the speed of computers has created a fertile field for the incorporation of optimisation in the design process in different engineering disciplines Topics covered include: Structural optimisation, Optimisation in biomechanics, Shape and topology optimisation, Industrial design optimisation cases, Evolutionary methods in design optimisation, Multi-level optimisation, Multidisciplinary optimisation, Reliability based optimisation, Material optimisation, Aerospace structures, Applications in mechanical and car engineering, New and enhanced formulations, Optimisation under extreme forces, Optimisation in aerodynamics, Optimisation in civil engineering, Life cost optimisation, Education issues in design optimisation, Commercial software for design optimisation.
This review volume contains a selection of papers by leading experts in the areas of Parallel Image Analysis, 2-D, 3-D Grammars and Automata and Neural Nets and Learning.
This highly accessible and engaging introduction to IP law encourages readers to critically evaluate the ownership of intangible goods. The rigorous pedagogy, featuring many real-world cases, both historical and up-to-date, full colour images, discussion exercises, end-of-chapter questions and activities, allows readers to engage fully with the philosophical concepts foundational of the subject, while also enabling them to independently analyse key cases, texts and materials relevant to IP law in the contemporary world. This innovative textbook, written by one of the leading authorities on the subject, is the ideal route to a full understanding of copyright, patents, designs, trade marks, passing off, remedies and litigation for undergraduate and beginning graduate students in IP law.
Containing the edited papers presented at the Sixth International Conference on High Performance Structures and Materials, High Performance Structures and Materials VI addresses the issues involved with advanced types of structures, particularly those based on new concepts or new materials. Contributions will highlight the latest developments in design, optimisation, manufacturing and experimentation in these areas.The use of novel materials and new structural concepts nowadays is not restricted to highly technical areas like aerospace, aeronautical applications or the automotive industry, but affects all engineering fields including those such as civil engineering and architecture. Most high performance structures require the development of a generation of new materials, which can more easily resist a range of external stimuli or react in a non-conventional manner.The book will cover such topics as: Composite materials and structures, Lightweight structures, Nanocomposites, High performance concretes, Concrete fibres, Automotive composites, Steel structures, Natural fibre composites, Timber structures, Material characterisation, Experiments and numerical analysis, Damage and fracture mechanics, Computational intelligence, Adaptable and mobile structures, Environmentally friendly structures.
One of the most dominant security issues of the twenty-first century has been the US led battle against transnational terrorism – the aptly named Long War. Over the past fifteen years the Long War has been examined using multiple perspectives. However, one central mechanism is missing in current Long War analyses: defence diplomacy. Defence diplomacy enhances the diplomatic and security capacity of a state, providing the only link between executive office and the ministries of foreign affairs and defence, two vital institutions in the Long War. Using a case study of US defence diplomacy in Afghanistan from 2001 to 2014, the paper argues simply that the practice of defence diplomacy far outweighs current theories on what it is, how it works and why it matters. The paper aims to generate a more nuanced understanding of defence diplomacy, as well as identify it as a key component of the US CT/COIN strategy to achieve their Long War policy objectives.
The book is organized in seven chapters. Physical design flow. Timing constraints. Place and route concepts. Tool vendors. Process constraints. Timing closure. Place and route methodology and flow. ECO and spare gates. Formal verification. Coupling noise. Chip optimization and tapeout.
This book covers issues and solutions in the physical integration and tapeout management for VLSI design. Chapter 1 gives the overview. Chapter 2 shows detailed techniques for physical design. Chapter 3 provides CAD flows. Chapter 4 discusses on-chip interconnects. A glossary of keywords is provided at the end.
This book is an extension of one author's doctoral thesis on the false path problem. The work was begun with the idea of systematizing the various solutions to the false path problem that had been proposed in the literature, with a view to determining the computational expense of each versus the gain in accuracy. However, it became clear that some of the proposed approaches in the literature were wrong in that they under estimated the critical delay of some circuits under reasonable conditions. Further, some other approaches were vague and so of questionable accu racy. The focus of the research therefore shifted to establishing a theory (the viability theory) and algorithms which could be guaranteed correct, and then using this theory to justify (or not) existing approaches. Our quest was successful enough to justify presenting the full details in a book. After it was discovered that some existing approaches were wrong, it became apparent that the root of the difficulties lay in the attempts to balance computational efficiency and accuracy by separating the tempo ral and logical (or functional) behaviour of combinational circuits. This separation is the fruit of several unstated assumptions; first, that one can ignore the logical relationships of wires in a network when considering timing behaviour, and, second, that one can ignore timing considerations when attempting to discover the values of wires in a circuit.
Complex function theory and linear algebra provide much of the basic mathematics needed by engineers engaged in numerical computations, signal processing or control. The transfer function of a linear time invariant system is a function of the complex vari able s or z and it is analytic in a large part of the complex plane. Many important prop erties of the system for which it is a transfer function are related to its analytic prop erties. On the other hand, engineers often encounter small and large matrices which describe (linear) maps between physically important quantities. In both cases similar mathematical and computational problems occur: operators, be they transfer functions or matrices, have to be simplified, approximated, decomposed and realized. Each field has developed theory and techniques to solve the main common problems encountered. Yet, there is a large, mysterious gap between complex function theory and numerical linear algebra. For example, complex function theory has solved the problem to find analytic functions of minimal complexity and minimal supremum norm that approxi e. g. , as optimal mate given values at strategic points in the complex plane. They serve approximants for a desired behavior of a system to be designed. No similar approxi mation theory for matrices existed until recently, except for the case where the matrix is (very) close to singular.
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