Computer Knowledge: Engineering

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Software Engineering for Self-Adaptive Systems (Lecture Notes in Computer Science / Programming and Software Engineering)

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Software Engineering for Self-Adaptive Systems (Lecture Notes in Computer Science / Programming and Software Engineering) Overview

Although the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in enabling the development of future software systems that are able to self-adapt to changes that may occur in the system, its requirements, or the environment in which it is deployed.

The 12 carefully reviewed papers included in this state-of-the-art survey originate from the International Seminar on Software Engineering for Self-Adaptive Systems, held in Dagstuhl Castle, Germany, in January 2008. They examine the current state-of-the-art in the field, describing a wide range of approaches coming from different strands of software engineering, and present future challenges facing this ever-resurgent and challenging field of research. Also included in this book is an invited roadmap paper on the research challenges facing self-adaptive systems within the area of software engineering, based on discussions at the Dagstuhl Seminar and put together by several of its participants. The papers have been divided into topical sections on architecture-based self-adaptation, context-aware and model-driven self-adaptation, and self-healing. These are preceded by three research roadmap papers.

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Mathematical Methods in Engineering

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Mathematical Methods in Engineering Overview

This book contains some of the contributions that have been carefully selected and peer-reviewed, which were presented at the International Symposium MME06 Mathematical Methods in Engineering, held in Cankaya University, Ankara, April 2006. The Symposium provided a setting for discussing recent developments in Fractional Mathematics, Neutrices and Generalized Functions, Boundary Value Problems, Applications of Wavelets, Dynamical Systems and Control Theory.

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Circuit Simulation Methods and Algorithms (Electronic Engineering Systems)

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Circuit Simulation Methods and Algorithms (Electronic Engineering Systems) Overview

Circuit Simulation Methods and Algorithms provides a step-by-step theoretical consideration of methods, techniques, and algorithms in an easy-to-understand format. Many illustrations explain more difficult problems and present instructive circuits.
The book works on three levels:

The simulator-user level for practitioners and students who want to better understand circuit simulators.

The basic theoretical level, with examples, dedicated to students and beginning researchers.

The thorough level for deep insight into circuit simulation based on computer experiments using PSPICE and OPTIMA.
Only basic mathematical knowledge, such as matrix algebra, derivatives, and integrals, is presumed.

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New Algorithms for Macromolecular Simulation (Lecture Notes in Computational Science and Engineering)

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New Algorithms for Macromolecular Simulation (Lecture Notes in Computational Science and Engineering) Overview

Molecular simulation is a widely used tool in biology, chemistry, physics and engineering. This book contains a collection of articles by leading researchers who are developing new methods for molecular modelling and simulation. Topics addressed here include: multiscale formulations for biomolecular modelling, such as quantum-classical methods and advanced solvation techniques; protein folding methods and schemes for sampling complex landscapes; membrane simulations; free energy calculation; and techniques for improving ergodicity. The book is meant to be useful for practitioners in the simulation community and for those new to molecular simulation who require a broad introduction to the state of the art.

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Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods (Engineering Materials and Processes)

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Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods (Engineering Materials and Processes) Overview

The physics of metal forming and metal removing is normally expressed using non-linear partial differential equations which can be solved using the finite element method (FEM). However, when the process parameters are uncertain and/or the physics of the process is not well understood, soft computing techniques can be used with FEM or alone to model the process.

Using FEM, fuzzy set theory and neural networks as modeling tools; Modeling of Metal Forming and Machining Processes provides a complete treatment of metal forming and machining, and includes:

an explanation of FEM and its application to the modeling of manufacturing processes;

a discussion of the numerical difficulties of FEM;

chapters on the application of soft computing techniques in this modeling process.

The algorithms and solved examples included make Modeling of Metal Forming and Machining Processes of value to postgraduates, senior undergraduates, lecturers and researchers in these fields. R&D engineers and consultants for the manufacturing industry will also find it of use.

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Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs: 14th Monterey Workshop 2007, Monterey, CA, USA, September 10-13, ... / Programming and Software Engineering)

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Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs: 14th Monterey Workshop 2007, Monterey, CA, USA, September 10-13, ... / Programming and Software Engineering) Overview

This book presents the thoroughly refereed and revised proceedings of the 14th Monterey workshop, held in Monterey, CA, USA, September 10-13, 2007. The theme of the workshop was Innovations for Requirement Analysis: From Stakeholders' Needs to Formal Designs.

The 10 revised full papers included in the book were carefully selected during two rounds of reviewing and revision. These are preceded by the abstracts of the three keynote talks as well as a detailed introduction to the theme of the workshop, including a case study used by many participants to frame their analyses, and a summary of the workshop's results. The full papers have been grouped thematically under the headings Innovative Requirements Engineering Techniques and Innovative Applications of Natural-Language Processing Techniques.

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Fundamental Numerical Methods for Electrical Engineering (Lecture Notes in Electrical Engineering)

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Fundamental Numerical Methods for Electrical Engineering (Lecture Notes in Electrical Engineering) Overview

The book presents fundamental numerical methods which are most frequently applied in the electrical (electronic) engineering. Mathematical problems are solved step by step, and all methods discussed are illustrated with real-world examples of applications.

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High Performance Scientific and Engineering Computing: Proceedings of the 3rd International FORTWIHR Conference on HPSEC, Erlangen, March 12-14, 2001

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High Performance Scientific and Engineering Computing: Proceedings of the 3rd International FORTWIHR Conference on HPSEC, Erlangen, March 12-14, 2001 Overview

The book is a state-of-the-art overview on high performance computing (HPC) activities to solve scientific and/or engineering problems on supercomputers. This topic has evolved to a key technology playing an important role in determining, or at least shaping, future research and development activities in many branches of industry. The main topics include the development of advanced numerical methods, parallel computing techniques, grid generation, and visualization. Applications of these techniques are directed to fluid dynamics, turbulence, combustion and porous media related flows, computational structural dynamics, material sciences, chemical engineering, dynamic systems, optimal control, and optimization of electronic circuits. The book includes 44 contributions from renowned international experts in the field of HPC and its applications.

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Advanced Information Systems Engineering: 7th International Conference, CAiSE '95, Jyväskylä, Finland, June 12 - 16, 1995. Proceedings (Lecture Notes in Computer Science)

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Advanced Information Systems Engineering: 7th International Conference, CAiSE '95, Jyväskylä, Finland, June 12 - 16, 1995. Proceedings (Lecture Notes in Computer Science) Overview

This volume constitutes the proceedings of the 7th International Conference on Advanced Information Systems Engineering, CAiSE '95, held in Jyväskylä, Finland in June 1995.
The 26 full papers presented in this volume were selected from more than 100 submissions; in addition there are three invited papers. Among the contributing authors are academics as well as information system practitioners from industry and administration. The volume is organized in sections on behaviour modelling, requirements engineering, 00 concepts and applications, work and communication modelling, meta modelling, user interface issues, CASE integration, reuse, conceptual modelling issues, and software development issues.

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Introduction to Physical Modeling with Modelica (The Springer International Series in Engineering and Computer Science)

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Introduction to Physical Modeling with Modelica (The Springer International Series in Engineering and Computer Science) Overview

The first book on Modelica, a modeling language that can be used to simulate both continuous and discrete behavior, Introduction to Physical Modeling with Modelica provides the necessary background to develop Modelica models of almost any physical system. The author starts with basic differential equations from several engineering domains and describes how these equations can be used to create reusable component models. Next, he describes techniques for modeling complex non-linear behavior, exploiting the powerful array handling features and mixing continuous and discrete behavior. The second part of the book focuses on effective use of all the language features provided by the Modelica modeling language. This includes, among other things, discussions on maximizing the reusability of component models being developed, managing the model development process, and making models as computationally efficient as possible. Introduction to Physical Modeling with Modelica includes a companion CD-ROM with the Modelica source code for all examples as well as an evaluation copy of Dymola. Using Dymola, readers can immediately begin to explore the dynamics of the models included with the book or to develop their own models. Nearly 100 examples of mechanical, electrical, biological, chemical, thermal and hydraulic models are included. Introduction to Physical Modeling with Modelica will be of interest to all professional engineers and university researchers developing physical models. Students studying control system development or modeling of physical systems will also find it useful.

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Particle Modeling (Modeling and Simulation in Science, Engineering and Technology)

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Particle Modeling (Modeling and Simulation in Science, Engineering and Technology) Overview

Focuses on a new area of simulation called particle modeling. The 3 parts cover: Mathematical, physical and numerical considerations, Qualitative Newtonian modeling and Quantitative modeling. DLC: Science - Computer simulation.

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Simulation Engineering: Build Better Embedded Systems Faster

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Simulation engineers seem to happen...rather than according to a plan. They build a model to solve a problem of theirs one day, and pretty soon other people are bringing them their problems to build models for.

This book is good for those of us who have followed that path. It links together those pieces that seem to float free in our knowledge bases, and helps to define the overall picture of doing a simulation and the topics that need to be addressed at a fundamental level when building a complex simulation.

If you want a beginning book...this ain't it. But if you have the need...then this is a good book to start with.

Simulation Engineering: Build Better Embedded Systems Faster Overview

Build complex embedded systems faster and with lower costs by: * Knowing when and how much simulation testing is appropriate * Applying engineering methods to simulation design and development * Using the best tools available to develop simulations. * Va

Learn when and how to use simulation methods. The range of important techniques are presented, beginning with the fundamentals of mathematical models and progressing through producing useful results, analyzing the data and validating the models. Each chapter provides step-by-step instructions for developing a working simulation.

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HCI and Usability for Education and Work: 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer ... / Programming and Software Engineering)

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HCI and Usability for Education and Work: 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer ... / Programming and Software Engineering) Overview

This book constitutes the refereed proceedings of the 4th Usability Symposium of the Human-Computer Interaction and Usability Engineering Workgroup of the Austrian Computer Society, USAB 2008, held in Graz, Austria, in November 2008.

The 7 revised full papers and 26 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers are organized in topical sections on cognitive processes and end user experience, social software and collaborative knowledge development, knowledge processing, assessment and human performance, human centered development and design accessibility, user centred information visualization and multimedia, adaptivity and personalization in ubiquitous learning systems, and human centred design for safety critical systems.

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Computer Modelling of Heat and Fluid Flow in Materials Processing (Series in Material Science and Engineering)

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Computer Modelling of Heat and Fluid Flow in Materials Processing (Series in Material Science and Engineering) Overview

The understanding and control of transport phenomena in materials processing play an important role in the improvement of conventional processes and in the development of new techniques. Computer modelling of these phenomena can be used effectively for this purpose. Although there are several books in the literature covering the analysis of heat transfer and fluid flow, this title is specifically addresses the understanding of these phenomena in materials processing situations.

Written at a level suitable for graduate students in materials science and engineering and related subjects, this title is ideal for those wishing to learn how to approach computer modelling of transport phenomena and apply these techniques in materials processing. The text includes a number of relevant case studies and each chapter is supported by numerous examples of transport modelling programs.

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GIS Environmental Modelling and Engineering

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GIS Environmental Modelling and Engineering Overview

Over the past decade environmental modelling (EM) has become increasingly seen to be significant, and is now seen as an important application of GIS. Both public and private sectors are now concerned about the environment, and widely recognise the need to assess and prevent against potential impacts.

This book aims to focuses on modelling, rather than on data collection or visualisation and aims to develop critical users for GIS and EM.

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Applications of Intelligent Control to Engineering Systems: In Honour of Dr. G. J. Vachtsevanos (Intelligent Systems, Control and Automation: Science and Engineering)

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Applications of Intelligent Control to Engineering Systems: In Honour of Dr. G. J. Vachtsevanos (Intelligent Systems, Control and Automation: Science and Engineering) Overview

This book represents the work of top scientists in the field of intelligent control and its applications, prognostics, diagnostics, condition based maintenance and unmanned systems. The work presents an approach to solving engineering problems related to manufacturing, automation, and especially unmanned systems and describes recent advances in the disciplines mentioned above. The main goal of the book is to demonstrate how concepts and ideas from diverse disciplines are merged within a common framework applied to the solution of complex problems.

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Correct Models of Parallel Computing (Concurrent Systems Engineering Series, 49)

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Correct Models of Parallel Computing (Concurrent Systems Engineering Series, 49) Overview

The 21st century will be the age of network computing. Among the many key technologies in this field, parallel computing and networking technology will play very important roles. In this book emphasis is placed on networking and modeling parallel computing. The topics cover parallel computing algorithms, parallel software, massively parallel computing systems and related applications. Articles cover parallel computing, networking and related applications, to initiate discussions. Since the appearance of Transputer chip T9000, C104, and standardizations of IEEE1355, Transputer systems seem to have opened a new interesting area of parallel computing, networking and many practical applications.

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Intelligent Computational Paradigms in Earthquake Engineering (Computational Intelligence and Its Applications)

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Intelligent Computational Paradigms in Earthquake Engineering (Computational Intelligence and Its Applications) Overview

"The enormous advances in computational hardware and software resources over the last fifteen years resulted in the development of non-conventional data processing and simulation methods. Among these methods artificial intelligence (AI) has been mentioned as one of the most eminent approaches to the so-called intelligent methods of information processing that present a great potential for engineering applications. Intelligent Computational Paradigms in Earthquake Engineering contains contributions that cover a wide spectrum of very important real-world engineering problems, and explore the implementation of neural networks for the representation of structural responses in earthquake engineering. This book assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering. Intelligent Computational Paradigms in Earthquake Engineering presents the application of learning machines, artificial neural networks and support vector machines as highly-efficient pattern recognition tools for structural damage detection. It includes an AI-based evaluation of bridge structures using life-cycle cost principles that considers seismic risk, and emphasizes the use of AI methodologies in a geotechnical earthquake engineering application. "

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Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications

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Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications Overview

A collection of state-of-the-art lectures by experts in the field of theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. The theory presented in this book has numerous applications in fluid dynamics, structure mechanics, electromagnetic, automation control, resource optimization, image processing and economics

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Computational Modelling & Electronic Engineering in Acoustics: Basic Principles and Applications

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Computational Modelling & Electronic Engineering in Acoustics: Basic Principles and Applications Overview

The application of computer modelling using numerical techniques is a fast developing field in acoustics. Many practical acoustic problems, such as room acoustics, environmental noise propagation and transducer design, cannot be solved by closed form analytical solutions and in the past have been handled using simplified approximations which are very limited in the scope of application and detail and accuracy which they can provide. Numerical techniques in acoustics have undergone tremendous development over the past two decades, spurred on by the need for more accurate and detailed modelling and made practical by the rapid increase in affordable desktop computing power.

The major numerical techniques which can be applied to acoustic transducer design, room acoustics prediction, environmental noise modelling, and other general modelling of noise radiation and diffraction are brought together. The basic principles are covered, but the book emphasises the application of the techniques and is illustrated with cases. This makes it a reference for undergraduates, postgraduates who are starting their research, and engineers in industry who need to find a solution for a specific practical problem.

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