Bücher der Reihe The Springer International Series in Engineering and Computer Science

High Performance Computing Systems and Applications contains fully refereed papers from the 15th Annual Symposium on High Performance Computing.

Following the content industry trend to "create once and publish everywhere"-COPE, a number of architectures, technologies, and tools are currently being developed and deployed to facilitate the automatic conversion of content to multiple formats, and the creation of innovative multi-platform services.

The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and software testing.

Perspectives On Software Requirements presents perspectives on several current approaches to software requirements. Chapters highlight familiar issues with recent results and experiences, which are accompanied by chapters describing well-tuned new methods for specific domains.

This book contains the proceedings of the workshop Uncertainty in Geomet ric Computations that was held in Sheffield, England, July 5-6, 2001. The applications of computer modelling are large and diverse, but the workshop focussed on the management of un certainty in three areas : Geometric modelling, computer vision, and computer graphics.

Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies.

The book covers the behavior of Java applications, embedded processors for Java, memory system design, and high-performance single-chip architectures designed to execute Java applications efficiently.

Business Component-Based Software Engineering, an edited volume, aims to complement some other reputable books on CBSE, by stressing how components are built for large-scale applications, within dedicated development processes and for easy and direct combination.

The book will also provide basic material for teaching the state of the art techniques in data visualization.Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization.

Practical Performance Modeling: Application of the MOSEL Language introduces the new and powerful performance and reliability modeling language MOSEL (MOdeling, Specification and Evaluation Language), developed at the University of Erlangen, Germany.

Presently, software controls many critical functions in (1) airplanes, (2) electronic commerce, (3) space-bound systems, (4) medical systems, and (5) various transportation systems such as automobiles and trains.

In Chapter 1 we introduce our rationale for writing a book about systems that process queries in global information systems. Chapter 3 presents our proposed global system architecture for query processing in global information systems.

Applied and Computational Control, Signals, and Circuits: Recent Developments is an interdisciplinary book blending mathematics, computational mathematics, scientific computing and software engineering with control and systems theory, signal processing, and circuit simulations.

Optical networks, employing Wavelength-Division Multiplexing (WDM) and wavelength routing, are believed to be the answer for the explosion in IP traffic and the emergence of real-time multimedia applications.

In recent years, the conservation of tropical forests has received worldwide publicity whereas effective forest management, particularly for timber extraction, has attracted little attention and gained some notoriety.

Constrained Coding and Soft Iterative Decoding is the first work to combine the issues of constrained coding and soft iterative decoding (e.g., turbo and LDPC codes) from a unified point of view.

Computer systems that analyze images are critical to a wide variety of applications such as visual inspections systems for various manufacturing processes, remote sensing of the environment from space-borne imaging platforms, and automatic diagnosis from X-rays and other medical imaging sources.

Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. naïve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions. The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems. The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information. Soft Computing for Knowledge Discovery is for advanced undergraduates,professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.

ATM Network Performance, Second Edition, describes approaches to computer and communication network management at the ATM layer of the protocol hierarchy. New material on round-robin scheduling, jitter control, QoS paradigms as well as special treatment of fluid modeling and variable bit rate channel capacity.

VLSI advances now enable increasingly sophisticated signal processing methods for negligible cost and complexity, a trend sure to continue even as disk access speeds progress to billions of bits per second and terabits per square inch in the new millennium of the in formation age.

Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities.

This "must have" reference work for semiconductor professionals and researchers provides a basic understanding of how the most commonly used tools and techniques in silicon-based semiconductors are applied to understanding the root cause of electrical failures in integrated circuits.

Database Support for Workflow Management: The WIDE Project presents the results of the ESPRIT WIDE project on advanced database support for workflow management.

Behavioral Specifications of Businesses and Systems deals with the reading, writing and understanding of specifications.

Stochastically-Based Semantic Analysis investigates the problem of automatic natural language understanding in a spoken language dialog system.