kluwer International Series in Engineering & Computer Science – serie

There are three outstanding points of this book. First: for the first time, a collective point of view on the role of artificial intelligence paradigm in logic design is introduced. Second, the book reveals new horizons of logic design tools on the technologies of the near future. Finally, the contributors of the book are twenty recognizable leaders in the field from the seven research centres. The chapters of the book have been carefully reviewed by equally qualified experts. All contributors are experienced in practical electronic design and in teaching engineering courses. Thus, the book's style is accessible to graduate students, practical engineers and researchers.

The Dictionary of Information Security provides complete and easy to read explanations of common security and infrastructure protection terms (quick refresher terms). Special attention is given to terms that most often prevent educated readers from understanding journal articles or books in cryptography, computer security, information systems, role-based access management and applied fields that build on those disciplines. Also included in the dictionary are terms that refer to computing forensics, malware attacks, privacy issues, system design, security auditing and vulnerability testing. Although it is difficult for an IT professional or an IT student to keep aware of the current terminology being practiced today, the Dictionary of Information Security presents cutting-edge information on the most recent terms in use in one concisely formatted volume. Similar to dictionaries for languages, statistics, epidemiology and other disciplines, this IT Security Dictionary is a reference tool that should become part of any professional and IT student's library.The Dictionary of Information Security is designed for a professional audience, composed of researchers and practitioners in industry. This dictionary is also suitable for students in computer science, engineering and information sciences.

Systematic Design of Sigma-Delta Analog-to-Digital Converters describes the issues related to the sigma-delta analog-to-digital converters (ADCs) design in a systematic manner: from the top level of abstraction represented by the filters defining signal and noise transfer functions (STF, NTF), passing through the architecture level where topology-related performance is calculated and simulated, and finally down to parameters of circuit elements like resistors, capacitors, and amplifier transconductances used in individual integrators. The systematic approach allows the evaluation of different loop filters (order, aggressiveness, discrete-time or continuous-time implementation) with quantizers varying in resolution. Topologies explored range from simple single loops to multiple cascaded loops with complex structures including more feedbacks and feedforwards. For differential circuits, with switched-capacitor integrators for discrete-time (DT) loop filters and active-RC for continuous-time (CT) ones, the passive integrator components are calculated and the power consumption is estimated, based on top-level requirements like harmonic distortion and noise budget.This unified, systematic approach to choosing the best sigma-delta ADC implementation for a given design target yields an interesting solution for a high-resolution, broadband (DSL-like) ADC operated at low oversampling ratio, which is detailed down to transistor-level schematics. The target audience of Systematic Design of Sigma-Delta Analog-to-Digital Converters are engineers designing sigma-delta ADCs and/or switched-capacitor and continuous-time filters, both beginners and experienced. It is also intended for students/academics involved in sigma-delta and analog CAD research.

Speech and Human-Machine Dialog focuses on the dialog management component of a spoken language dialog system. Spoken language dialog systems provide a natural interface between humans and computers. These systems are of special interest for interactive applications, and they integrate several technologies including speech recognition, natural language understanding, dialog management and speech synthesis. Due to the conjunction of several factors throughout the past few years, humans are significantly changing their behavior vis-a-vis machines. In particular, the use of speech technologies will become normal in the professional domain, and in everyday life. The performance of speech recognition components has also significantly improved. This book includes various examples that illustrate the different functionalities of the dialog model in a representative application for train travel information retrieval (train time tables, prices and ticket reservation). Speech and Human-Machine Dialog is designed for a professional audience, composed of researchers and practitioners in industry.This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: Flexible Neuro-Fuzzy Systems is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.