Computer Methods for Analysis of Mixed-Mode Switching Circuits provides an in-depth treatment of the principles and implementation details of computer methods and numerical algorithms for analysis of mixed-mode switching circuits. Major topics include:
-Computer-oriented formulation of mixed-mode switching circuits,
-Network functions of linear and nonlinear time-varying systems,
-Numerical Laplace inversion based integration algorithms and inconsistent initial conditions,
-Time domain analysis of periodically switched linear and nonlinear circuits including response, sensitivity, noise, clock jitter, and statistical quantities,
-Time domain analysis of circuits with internally controlled switches and over-sampled sigma-delta modulators,
-Tellegen's theorem, frequency reversal theorem, and transfer function theorem of periodically switched linear circuits and their applications,
-Frequency domain analysis of periodically switched linear and nonlinear circuits including response, sensitivity, group delay, noise, and statistical quantities.

The switching net.work is an important. classic research area in t.ele- communication and comput.er net.works. It.s import.ancc st.ems from both theory and practice. In fact, some open problems, such as Benes conjec- ture on shuffle-exchange networks and Chung-Rmis conjecture on multi- rate rearrangeability, still attract many researchers and the further de- velopment in optical networks requires advanced technology in optical switching networks. In 1997, we had a workshop in switching networks held in NSF Sci- ence and Technology Center in Discrete Mathematics and Theoretical Computer Science (DIMACS), at Princeton University. This workshop was very successful. Many participants wished to have a similar activity every two or three years. This book is a result of such a wish. We are putting together SOllle important developments in this area during last. several years, including articles ill fault-tolerance, rearrang{~ability. non- blocking, optical networks. random permutation generat.ioll. and layout complexity. SOlllC of thos(~ art ides are research papers alld SOIllC an' sur- veys. All articles were reviewed. We would like to uWlItioll two special problems studied in those articles.

Computer graphics is important in many areas including engineering design, architecture, education, and computer art and animation. This book examines a wide array of current methods used in creating real-looking objects in the computer, one of the main aims of computer graphics.

Key features:

* Good foundational mathematical introduction to curves and surfaces; no advanced math required

* Topics organized by different interpolation/approximation techniques, each technique providing useful information about curves and surfaces

* Exposition motivated by numerous examples and exercises sprinkled throughout, aiding the reader

* Includes a gallery of color images, Mathematica code listings, and sections on curves & surfaces by refinement and on sweep surfaces

* Web site maintained and updated by the author, providing readers with errata and auxiliary material

This engaging text is geared to a broad and general readership of computer science/architecture engineers using computer graphics to design objects, programmers for computer gamemakers, applied mathematicians, and students majoring in computer graphics and its applications. It may be used in a classroom setting or as a general reference.

Digital Architecture Beyond Computers explores the deep history of digital architecture, tracing design concepts as far back as the Renaissance and connecting them with the latest software used by designers today. It develops a critical account of how the tools and techniques of digital design have emerged, and allows designers to deepen their understanding of the digital tools they use every day. What aesthetic, spatial, and philosophical concepts converge within the digital tools architects employ? What is their history? And what kinds of techniques and designs have they given rise to? This book explores the answers to these questions, showing how digital architecture brings together complex ideas and trajectories which span across several domains and have evolved over many centuries. It sets out to unpack these ideas, trace their origin and permeation into architecture, and re-examine their use in contemporary software. Chapters are arranged around the histories of nine 'fragments' - each a fundamental concept embedded in popular CAD applications: database, layers and fields, parametrics, pixel, programme, randomness, scanning, topology, and voxel/maxel - with each theme examined through a series of historical and contemporary case studies. The book thus connects the digital design process with architectural history and theory, allowing designers and theorists alike to develop more analytical and critical tools with which to conceptualise digital design and its software.

The development of any Software (Industrial) Intensive System, e.g. critical embedded software, requires both different notations, and a strong devel- ment process. Different notations are mandatory because different aspects of the Software System have to be tackled. A strong development process is mandatory as well because without a strong organization we cannot warrantee the system will meet its requirements. Unfortunately, much more is needed! The different notations that can be used must all possess at least one property: formality. The development process must also have important properties: a exha- tive coverage of the development phases, and a set of well integrated support tools. In Computer Science it is now widely accepted that only formal notations can guarantee a perfect de?ned meaning. This becomes a more and more important issue since software systems tend to be distributed in large systems (for instance in safe public transportation systems), and in small ones (for instance numerous processors in luxury cars). Distribution increases the complexity of embedded software while safety criteria get harder to be met. On the other hand, during the past decade Software Engineering techniques have been improved a lot, and are now currently used to conduct systematic and rigorous development of large software systems. UML has become the de facto standard notation for documenting Software Engineering projects. UML is supported by many CASE tools that offer graphical means for the UML notation.

IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system.

It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT'09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.

This book approaches the realisation of digital terrain and landscape data through clear and practical examples. From data provision and the creation of revealing analyses to realistic depictions for presentation purposes, the reader is led through the world of digital 3-D graphics. The authors deep knowledge of the scientific fundamentals and many years of experience in 3-D visualization enable them to lead the reader through a complex subject and shed light on previously murky virtual landscapes.

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.

The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, "The only satisfactory description of uncertainty is probability.

This book analyzes the causes of failures in computing systems, their consequences, as weIl as the existing solutions to manage them. The domain is tackled in a progressive and educational manner with two objectives: 1. The mastering of the basics of dependability domain at system level, that is to say independently ofthe technology used (hardware or software) and of the domain of application. 2. The understanding of the fundamental techniques available to prevent, to remove, to tolerate, and to forecast faults in hardware and software technologies. The first objective leads to the presentation of the general problem, the fault models and degradation mechanisms wh ich are at the origin of the failures, and finally the methods and techniques which permit the faults to be prevented, removed or tolerated. This study concerns logical systems in general, independently of the hardware and software technologies put in place. This knowledge is indispensable for two reasons: * A large part of a product' s development is independent of the technological means (expression of requirements, specification and most of the design stage). Very often, the development team does not possess this basic knowledge; hence, the dependability requirements are considered uniquely during the technological implementation. Such an approach is expensive and inefficient. Indeed, the removal of a preliminary design fault can be very difficult (if possible) if this fault is detected during the product's final testing.

One of the foundations for change in our society comes from designing. Its genesis is the notion that the world around us either is unsuited to our needs or can be improved. The need for designing is driven by a society's view that it can improve or add value to human existence well beyond simple subsistence. As a consequence of designing the world which we inhabit is increasingly a designed rather than a naturally occurring one. In that sense it is an "artificial" world. Designing is a fundamental precursor to manufacturing, fabrication, construction or implementation. Design research aims to develop an understanding of designing and to produce models of designing that can be used to aid designing. Artificial intelligence has provided an environmental paradigm within which design research based on computational constructions, can be carried out. Design research can be carried out in variety of ways. It can be viewed as largely an empirical endeavour in which experiments are designed and executed in order to test some hypothesis about some design phenomenon or design behaviour. This is the approach adopted in cognitive science. It often manifests itself through the use of protocol studies of designers. The results of such research form the basis of a computational model. A second view is that design research can be carried out by positing axioms and then deriving consequences from them.

Synthesis of Finite State Machines: Functional Optimization is one of two monographs devoted to the synthesis of Finite State Machines (FSMs). This volume addresses functional optimization, whereas the second addresses logic optimization. By functional optimization here we mean the body of techniques that: compute all permissible sequential functions for a given topology of interconnected FSMs, and select a `best' sequential function out of the permissible ones. The result is a symbolic description of the FSM representing the chosen sequential function. By logic optimization here we mean the steps that convert a symbolic description of an FSM into a hardware implementation, with the goal to optimize objectives like area, testability, performance and so on. Synthesis of Finite State Machines: Functional Optimization is divided into three parts. The first part presents some preliminary definitions, theories and techniques related to the exploration of behaviors of FSMs. The second part presents an implicit algorithm for exact state minimization of incompletely specified finite state machines (ISFSMs), and an exhaustive presentation of explicit and implicit algorithms for the binate covering problem. The third part addresses the computation of permissible behaviors at a node of a network of FSMs and the related minimization problems of non-deterministic finite state machines (NDFSMs). Key themes running through the book are the exploration of behaviors contained in a non-deterministic FSM (NDFSM), and the representation of combinatorial problems arising in FSM synthesis by means of Binary Decision Diagrams (BDDs). Synthesis of Finite State Machines: Functional Optimization will be of interest to researchers and designers in logic synthesis, CAD and design automation.

This book contains the revised contributions of 18 tutorial speakers at the seventh AACD '98 in Copenhagen, April 28-30, 1998. The conference was organized by OIe Olesen, ofthe Technical University of Denmark. The pro gram committee consisted of Johan H. Huijsing from Delft University ofTechnology, The Netherlands, Willy Samsen from the Katholieke Universiteit Leuven, Belgium and Rudy J. van de Plassche, Philips Research, The Netherlands. The pro gram was concentrated around three important topics in analog circuit design. Each of these three topics has been covered by six papers. Each of the three chapters of this book contains the six papers of one topic. The three topics are: I-Volt Electronics Design and implementation ofMixed Modes Systems. Low-Noise and RF power Amplifies for the communication. Other topics, which have been covered in this series before are: 1992 OpAmps ADC's AnalogCAD. 1993 Mixed-Mode AlD design Sensor Interfaces Communication circuits. 1994 Low-Power low-Voltage Integrated Filters Smart Power. 1995 Low-Noise, Low-Power, Low-Voltage Mixed Mode with CAD Tirals Voltage, Current and Time References. vii viii 1996 RF CMOS circuit design BandpassSigma Delta and other Converters Translinear circuits. 1997 RF A-D Converters Sensor and Actuator Interfaces Low-noise Oscillators, PLL's and and Synthesizers. We hope to serve the analog design community with these series of books and plan to continue this series in the future.

In VLSI CAD, difficult optimization problems have to be solved on a constant basis. Various optimization techniques have been proposed in the past. While some of these methods have been shown to work well in applications and have become somewhat established over the years, other techniques have been ignored. Recently, there has been a growing interest in optimization algorithms based on principles observed in nature, termed Evolutionary Algorithms (EAs). Evolutionary Algorithms in VLSI CAD presents the basic concepts of EAs, and considers the application of EAs in VLSI CAD. It is the first book to show how EAs could be used to improve IC design tools and processes. Several successful applications from different areas of circuit design, like logic synthesis, mapping and testing, are described in detail. Evolutionary Algorithms in VLSI CAD consists of two parts. The first part discusses basic principles of EAs and provides some easy-to-understand examples. Furthermore, a theoretical model for multi-objective optimization is presented. In the second part a software implementation of EAs is supplied together with detailed descriptions of several EA applications. These applications cover a wide range of VLSI CAD, and different methods for using EAs are described. Evolutionary Algorithms in VLSI CAD is intended for CAD developers and researchers as well as those working in evolutionary algorithms and techniques supporting modern design tools and processes.

Networks on Chip presents a variety of topics, problems and approaches with the common theme to systematically organize the on-chip communication in the form of a regular, shared communication network on chip, an NoC for short.

As the number of processor cores and IP blocks integrated on a single chip is steadily growing, a systematic approach to design the communication infrastructure becomes necessary. Different variants of packed switched on-chip networks have been proposed by several groups during the past two years. This book summarizes the state of the art of these efforts and discusses the major issues from the physical integration to architecture to operating systems and application interfaces. It also provides a guideline and vision about the direction this field is moving to. Moreover, the book outlines the consequences of adopting design platforms based on packet switched network. The consequences may in fact be far reaching because many of the topics of distributed systems, distributed real-time systems, fault tolerant systems, parallel computer architecture, parallel programming as well as traditional system-on-chip issues will appear relevant but within the constraints of a single chip VLSI implementation.

The book is organized in three parts. The first deals with system design and methodology issues. The second presents problems and solutions concerning the hardware and the basic communication infrastructure. Finally, the third part covers operating system, embedded software and application. However, communication from the physical to the application level is a central theme throughout the book.

The book serves as an excellent reference source and may be used as a text for advanced courses on the subject.

This practical guide and introduction to the design of key RF building blocks used in high data rate transmitters emphasizes CMOS circuit techniques applicable to oscillators and upconvertors. The book is written in an easily accessible manner, without losing detail on the technical side.

Memory Architecture Exploration for Programmable Embedded Systems addresses efficient exploration of alternative memory architectures, assisted by a "compiler-in-the-loop" that allows effective matching of the target application to the processor-memory architecture. This new approach for memory architecture exploration replaces the traditional black-box view of the memory system and allows for aggressive co-optimization of the programmable processor together with a customized memory system.
The book concludes with a set of experiments demonstrating the utility of this exploration approach. The authors perform architecture and compiler exploration for a set of large, real-life benchmarks, uncovering promising memory configurations from different perspectives, such as cost, performance and power.

The motivation for starting the work described in this book was the interest that Hewlett-Packard's microwave circuit designers had in simulation techniques that could tackle the problem of finding steady state solutions for nonlinear circuits, particularly circuits containing distributed elements such as transmission lines. Examining the problem of computing steady-state solutions in this context has led to a collection of novel numerical algorithms which we have gathered, along with some background material, into this book. Although we wished to appeal to as broad an audience as possible, to treat the subject in depth required maintaining a narrow focus. Our compromise was to assume that the reader is familiar with basic numerical methods, such as might be found in [dahlquist74] or [vlach83], but not assume any specialized knowledge of methods for steady-state problems. Although we focus on algorithms for computing steady-state solutions of analog and microwave circuits, the methods herein are general in nature and may find use in other disciplines. A number of new algorithms are presented, the contributions primarily centering around new approaches to harmonic balance and mixed frequency-time methods. These methods are described, along with appropriate background material, in what we hope is a reasonably satisfying blend of theory, practice, and results. The theory is given so that the algorithms can be fully understood and their correctness established.

Formal Design Theory (PDT) is a mathematical theory of design. The main goal of PDT is to develop a domain independent core model of the design process. The book focuses the reader's attention on the process by which ideas originate and are developed into workable products. In developing PDT, we have been striving toward what has been expressed by the distinguished scholar Simon (1969): that "the science of design is possible and some day we will be able to talk in terms of well-established theories and practices. " The book is divided into five interrelated parts. The conceptual approach is presented first (Part I); followed by the theoretical foundations of PDT (Part II), and from which the algorithmic and pragmatic implications are deduced (Part III). Finally, detailed case-studies illustrate the theory and the methods of the design process (Part IV), and additional practical considerations are evaluated (Part V). The generic nature of the concepts, theory and methods are validated by examples from a variety of disciplines. FDT explores issues such as: algebraic representation of design artifacts, idealized design process cycle, and computational analysis and measurement of design process complexity and quality. FDT's axioms convey the assumptions of the theory about the nature of artifacts, and potential modifications of the artifacts in achieving desired goals or functionality. By being able to state these axioms explicitly, it is possible to derive theorems and corollaries, as well as to develop specific analytical and constructive methodologies.

This book is the third in a series of books collecting the best papers from the three main regional conferences on electronic system design languages, HDLCon in the United States, APCHDL in Asia-Pacific and FDL in Europe. Being APCHDL bi-annual, this book presents a selection of papers from HDLCon'Ol and FDL'OI. HDLCon is the premier HDL event in the United States. It originated in 1999 from the merging of the International Verilog Conference and the Spring VHDL User's Forum. The scope of the conference expanded from specialized languages such as VHDL and Verilog to general purpose languages such as C++ and Java. In 2001 it was held in February in Santa Clara, CA. Presentations from design engineers are technical in nature, reflecting real life experiences in using HDLs. EDA vendors presentations show what is available - and what is planned-for design tools that utilize HDLs, such as simulation and synthesis tools. The Forum on Design Languages (FDL) is the European forum to exchange experiences and learn of new trends, in the application of languages and the associated design methods and tools, to design complex electronic systems. FDL'OI was held in Lyon, France, around seven interrelated workshops, Hardware Description Languages, Analog and Mixed signal Specification, C/C++ HW/SW Specification and Design, Design Environments & Languages, Real-Time specification for embedded Systems, Architecture Modeling and Reuse and System Specification & Design Languages.

This book provides an engineering insight into how to provide a scalable and robust verification solution with ever increasing design complexity and sizes. It describes SAT-based model checking approaches and gives engineering details on what makes model checking practical. The book brings together the various SAT-based scalable emerging technologies and techniques covered can be synergistically combined into a scalable solution.

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

This volume provides a complete understanding of the fundamental causes of routing congestion in present-day and next-generation VLSI circuits, offers techniques for estimating and relieving congestion, and provides a critical analysis of the accuracy and effectiveness of these techniques. The book includes metrics and optimization techniques for routing congestion at various stages of the VLSI design flow. The subjects covered include an explanation of why the problem of congestion is important and how it will trend, plus definitions of metrics that are appropriate for measuring congestion, and descriptions of techniques for estimating and optimizing routing congestion issues in cell-/library-based VLSI circuits.

Analog design is one of the more difficult aspects of electrical engineering. The main reason is the apparently vague decisions an experienced designer makes in optimizing his circuit. To enable fresh designers, like students electrical engineering, to become acquainted with analog circuit design, structuring the analog design process is of utmost importance. Structured Electronic Design: Negative-Feedback Amplifiers presents a design methodology for negative-feedback amplifiers. The design methodology enables to synthesize a topology and to, at the same time, optimize the performance of that topology. Key issues in the design methodology are orthogonalization, hierarchy and simple models. Orthogonalization enables the separate optimization of the three fundamental quality aspects: noise, distortion and bandwidth. Hierarchy ensures that the right decisions are made at the correct level of abstraction. The use of simple models, results in simple calculations yielding maximum-performance indicators that can be used to reject wrong circuits relatively fast. The presented design methodology divides the design of negative-feedback amplifiers in six independent steps. In the first two steps, the feedback network is designed. During those design steps, the active part is assumed to be a nullor, i.e. the performance with respect to noise, distortion and bandwidth is still ideal. In the subsequent four steps, an implementation for the active part is synthesized. During those four steps the topology of the active part is synthesized such that optimum performance is obtained. Firstly, the input stage is designed with respect to noise performance. Secondly, the output stage is designed with respect to clipping distortion. Thirdly, the bandwidth performance is designed, which may require the addition of an additional amplifying stage. Finally, the biasing circuitry for biasing the amplifying stages is designed. By dividing the design in independent design steps, the total global optimization is reduced to several local optimizations. By the specific sequence of the design steps, it is assured that the local optimizations yield a circuit that is close to the global optimum. On top of that, because of the separate dedicated optimizations, the resource use, like power, is tracked clearly. Structured Electronic Design: Negative-Feedback Amplifiers presents in two chapters the background and an overview of the design methodology. Whereafter, in six chapters the separate design steps are treated with great detail. Each chapter comprises several exercises. An additional chapter is dedicated to how to design current sources and voltage source, which are required for the biasing. The final chapter in the book is dedicated to a thoroughly described design example, showing clearly the benefits of the design methodology. In short, this book is valuable for M.Sc.-curriculum Electrical Engineering students, and of course, for researchers and designers who want to structure their knowledge about analog design further.