This book describes a new type of computer aided VLSI design tool, called a VLSI System Planning, that is meant to aid designers dur ing the early, or conceptual, state of design. During this stage of design, the objective is to define a general design plan, or approach, that is likely to result in an efficient implementation satisfying the initial specifications, or to determine that the initial specifications are not realizable. A design plan is a collection of high level design decisions. As an example, the conceptual design of digital filters involves choosing the type of algorithm to implement (e. g. , finite impulse response or infinite impulse response), the type of polyno mial approximation (e. g. , Equiripple or Chebyshev), the fabrication technology (e. g. , CMOS or BiCMOS), and so on. Once a particu lar design plan is chosen, the detailed design phase can begin. It is during this phase that various synthesis, simulation, layout, and test activities occur to refine the conceptual design, gradually filling more detail until the design is finally realized. The principal advantage of VLSI System Planning is that the increasingly expensive resources of the detailed design process are more efficiently managed. Costly redesigns are minimized because the detailed design process is guided by a more credible, consistent, and correct design plan.

Theory and practice of tolerances are very important for designing and manufacturing engineering artifacts on a rational basis. Tolerance specifies a degree of "discrepancy" between an idealized object and its physical realization. Such discrepancy inevitably comes into our product realization processes because of practical cost consideration or our inability to fully control manufacturing processes. Major product and production characteristics which are affected by tolerances are product quality and cost. For achieving high precision machines tight tolerance specification is necessary, but this will normally increase product cost. In order to optimally compromise the conflicting requirements of quality and cost, it is essential to take into account of the total product life cycle throughout product planning, design, manufacturing, maintenance and recycling. For example, in order to construct durable products under severe working conditions, low sensitivity of product functionality with respect to tolerances is required. In future, re-use of components or parts will become important, and tolerance synthesis with respect to this aspect will be an interesting future research topics.

In the last few years CMOS technology has become increas ingly dominant for realizing Very Large Scale Integrated (VLSI) circuits. The popularity of this technology is due to its high den sity and low power requirement. The ability to realize very com plex circuits on a single chip has brought about a revolution in the world of electronics and computers. However, the rapid advance ments in this area pose many new problems in the area of testing. Testing has become a very time-consuming process. In order to ease the burden of testing, many schemes for designing the circuit for improved testability have been presented. These design for testability techniques have begun to catch the attention of chip manufacturers. The trend is towards placing increased emphasis on these techniques. Another byproduct of the increase in the complexity of chips is their higher susceptibility to faults. In order to take care of this problem, we need to build fault-tolerant systems. The area of fault-tolerant computing has steadily gained in importance. Today many universities offer courses in the areas of digital system testing and fault-tolerant computing. Due to the impor tance of CMOS technology, a significant portion of these courses may be devoted to CMOS testing. This book has been written as a reference text for such courses offered at the senior or graduate level. Familiarity with logic design and switching theory is assumed. The book should also prove to be useful to professionals working in the semiconductor industry."

In system design, generation of high-level abstract models that can be closely associated with evolving lower-level models provides designers with the ability to incrementally test' an evolving design against a model of a specification. Such high-level models may deal with areas such as performance, reliability, availability, maintainability, and system safety. Abstract models also allow exploration of the hardware versus software design space in an incremental fashion as a fuller, detailed design unfolds, leaving behind the old practice of hardware-software binding too early in the design process. Such models may also allow the inclusion of non-functional aspects of design (e.g. space, power, heat) in a simulatable information model dealing with the system's operation. This book addresses Model Generation and Application specifically in the following domains: Specification modeling (linking object/data modeling, behavior modeling, and activity modeling). Operational specification modeling (modeling the way the system is supposed to operate - from a user's viewpoint). Linking non-functional parameters with specification models. Hybrid modeling (linking performance and functional elements). Application of high-level modeling to hardware/software approaches. Mathematical analysis techniques related to the modeling approaches. Reliability modeling. Applications of High Level Modeling. Reducing High Level Modeling to Practice. High-Level System Modeling: Specification and Design Methodologies describes the latest research and practice in the modeling of electronic systems and as such is an important update for all researchers, design engineers and technical managers working in design automation and circuit design.

Very large scale integration (VLSI) technologies are now maturing with a current emphasis toward submicron structures and sophisticated applications combining digital as well as analog circuits on a single chip. Abundant examples are found on today's advanced systems for telecom munications, robotics, automotive electronics, image processing, intelli gent sensors, etc .. Exciting new applications are being unveiled in the field of neural computing where the massive use of analog/digital VLSI technologies will have a significant impact. To match such a fast technological trend towards single chip ana logi digital VLSI systems, researchers worldwide have long realized the vital need of producing advanced computer aided tools for designing both digital and analog circuits and systems for silicon integration. Ar chitecture and circuit compilation, device sizing and the layout genera tion are but a few familiar tasks on the world of digital integrated circuit design which can be efficiently accomplished by matured computer aided tools. In contrast, the art of tools for designing and producing analog or even analogi digital integrated circuits is quite primitive and still lack ing the industrial penetration and acceptance already achieved by digital counterparts. In fact, analog design is commonly perceived to be one of the most knowledge-intensive design tasks and analog circuits are still designed, largely by hand, by expert intimately familiar with nuances of the target application and integrated circuit fabrication process. The techniques needed to build good analog circuits seem to exist solely as expertise invested in individual designers."

Machine Vision technology is becoming an indispensible part of the manufacturing industry. Biomedical and scientific applications of machine vision and imaging are becoming more and more sophisticated, and new applications continue to emerge. This book gives an overview of ongoing research in machine vision and presents the key issues of scientific and practical interest. A selected board of experts from the US, Japan and Europe provides an insight into some of the latest work done on machine vision systems and appliccations.

Object-oriented techniques and languages have been proven to significantly increase engineering efficiency in software development. Many benefits are expected from their introduction into electronic modeling. Among them are better support for model reusability and flexibility, more efficient system modeling, and more possibilities in design space exploration and prototyping. Object-Oriented Modeling explores the latest techniques in object-oriented methods, formalisms and hardware description language extensions. The seven chapters comprising this book provide an overview of the latest object-oriented techniques for designing systems and hardware. Many examples are given in C++, VHDL and real-time programming languages. Object-Oriented Modeling describes further the use of object-oriented techniques in applications such as embedded systems, telecommunications and real-time systems, using the very latest techniques in object-oriented modeling. It is an essential guide to researchers, practitioners and students involved in software, hardware and system design.

Test generation is one of the most difficult tasks facing the designer of complex VLSI-based digital systems. Much of this difficulty is attributable to the almost universal use in testing of low, gate-level circuit and fault models that predate integrated circuit technology. It is long been recognized that the testing prob lem can be alleviated by the use of higher-level methods in which multigate modules or cells are the primitive components in test generation; however, the development of such methods has proceeded very slowly. To be acceptable, high-level approaches should be applicable to most types of digital circuits, and should provide fault coverage comparable to that of traditional, low-level methods. The fault coverage problem has, perhaps, been the most intractable, due to continued reliance in the testing industry on the single stuck-line (SSL) fault model, which is tightly bound to the gate level of abstraction. This monograph presents a novel approach to solving the foregoing problem. It is based on the systematic use of multibit vectors rather than single bits to represent logic signals, including fault signals. A circuit is viewed as a collection of high-level components such as adders, multiplexers, and registers, interconnected by n-bit buses. To match this high-level circuit model, we introduce a high-level bus fault that, in effect, replaces a large number of SSL faults and allows them to be tested in parallel. However, by reducing the bus size from n to one, we can obtain the traditional gate-level circuit and models."

Hardware Component Modeling highlights the current status of the modeling of electronic components. It includes contributions from many of the leading researchers and practitioners in the field. The contents focus on four important topics. Standards: Three chapters describe current developments in employing standards for the use of component libraries. A major part of these chapters provides an excellent introduction to VITAL (an IEEE standard), its application and some of the issues in using and implementing it. There are, however, other standards with a role to play and these are also covered. Data Types: One chapter describes the latest techniques for using data types in modeling and simulation. Model Generation: One chapter describes a model generator for reusable component models and another describes a generator which takes actual physical data as its source and generates a functional model. Quality Assurance: Two chapters are devoted to improving the quality of models. One introduces a method for quantifying aspects of model quality and the other introduces quality concepts which can lead to an increase in model value through reuse and robustness.Hardware Component Modeling is a valuable reference for researchers and practitioners involved in the process of modeling electronic components.

In the early days of VLSI, the design of the power distribution for an integrated cir cuit was rather simple. Power distribution --the design of the geometric topology for the network of wires that connect the various power supplies, the widths of the indi vidual segments for each of these wires, the number and location of the power I/O pins around the periphery of the chip --was simple because the chips were simpler. Few available wiring layers forced floorplans that allowed simple, planar (non-over lapping) power networks. Lower speeds and circuit density made the choice of the wire widths easier: we made them just fat enough to avoid resistive voltage drops due to switching currents in the supply network. And we just didn't need enormous num bers of power and ground pins on the package for the chips to work. It's not so simple any more. Increased integration has forced us to focus on reliability concerns such as metal elec tromigration, which affects wire sizing decisions in the power network. Extra metal layers have allowed more flexibility in the topological layout of the power networks."

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.

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.