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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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Enterprise Modeling and Computing With UML

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Enterprise Modeling and Computing With UML Overview

Enterprise Modeling and Computing with UML bridges two fields that are closely related, but are often studied in isolation: enterprise modeling and information systems modeling. The principal idea is to use a standard language for modeling information systems, UML, as a catalyst, and investigate its potential for modeling enterprises. Enterprise Modeling and Computing with UML shows both the potential and the limit of using UML in an enterprise modeling context and a broad spectrum of ideas for aligning the development of information systems with the management of an enterprise.

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The Agent Modeling Language - AML: A Comprehensive Approach to Modeling Multi-Agent Systems (Whitestein Series in Software Agent Technologies and Autonomic Computing)

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The Agent Modeling Language - AML: A Comprehensive Approach to Modeling Multi-Agent Systems (Whitestein Series in Software Agent Technologies and Autonomic Computing) Overview

Multi-agent systems are already a focus of studies for more than 25 years. Despite substantial effort of an active research community, modeling of multi-agent systems still lacks complete and proper definition, general acceptance, and practical application. Due to the vast potential of these systems e.g., to improve the practice in software and to extent the applications that can feasibly be tackled, this book tries to provide a comprehensive modeling language - the Agent Modeling Language (AML) - as an extension of UML 2.0, concentrating on multi-agent systems and applications.

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Computer and Computing Technologies in Agriculture, Volume I: First IFIP TC 12 International Conference on Computer and Computing Technologies in ... in Information and Communication Technology)

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Computer and Computing Technologies in Agriculture, Volume I: First IFIP TC 12 International Conference on Computer and Computing Technologies in ... in Information and Communication Technology) Overview

This book constitutes the first volume of the proceedings of the First IFIP WG 12.5 CCTA 2007 held in Wuyishan, China.

The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.

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Advances in Visual Computing: Second International Symposium, ISVC 2006, Lake Tahoe, NV, USA, November 6-8, 2006, Proceedings, Part I (Lecture Notes in ... Vision, Pattern Recognition, and Graphics)

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Advances in Visual Computing: Second International Symposium, ISVC 2006, Lake Tahoe, NV, USA, November 6-8, 2006, Proceedings, Part I (Lecture Notes in ... Vision, Pattern Recognition, and Graphics) Overview

The two volume set LNCS 4291 and LNCS 4292 constitutes the refereed proceedings of the Second International Symposium on Visual Computing, ISVC 2006, held in Lake Tahoe, NV, USA in November 2006.

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Parallel and Distributed Simulation Systems (Wiley Series on Parallel and Distributed Computing)

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Parallel and Distributed Simulation Systems (Wiley Series on Parallel and Distributed Computing) Overview

A state-of-the-art guide for the implementation of distributed simulation technology.

The rapid expansion of the Internet and commodity parallel computers has made parallel and distributed simulation (PADS) a hot technology indeed. Applications abound not only in the analysis of complex systems such as transportation or the next-generation Internet, but also in computer-generated virtual worlds for military and professional training, interactive computer games, and the entertainment industry.

In this book, PADS expert Richard M. Fujimoto provides software developers with cutting-edge techniques for speeding up the execution of simulations across multiple processors and dealing with data distribution over wide area networks ,including the Internet. With an emphasis on parallel and distributed discrete event simulation technologies, Dr. Fujimoto compiles and consolidates research results in the field spanning the last twenty years, discussing the use of parallel and distributed computers in both the modeling and analysis of system behavior and the creation of distributed virtual environments.

While other books on PADS concentrate on applications, Parallel and Distributed Simulation Systems clearly shows how to implement the technology. It explains in detail the synchronization algorithms needed to properly realize the simulations, including an in-depth discussion of time warp and advanced optimistic techniques. Finally, the book is richly supplemented with references, tables and illustrations, and examples of contemporary systems such as the Department of Defense's High Level Architecture (HLA), which has become the standard architecture for defense programs in the United States.

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Advances in High Performance Computing and Computational Sciences: The 1st Kazakh-German Advanced Research Workshop, Almaty, Kazakhstan, September 25 to ... Mechanics and Multidisciplinary Design)

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Advances in High Performance Computing and Computational Sciences: The 1st Kazakh-German Advanced Research Workshop, Almaty, Kazakhstan, September 25 to ... Mechanics and Multidisciplinary Design) Overview

This volume contains contributions to the First Kazakh-German Advanced Research Workshop on Computational Science and High Performance Computing presented in September 2005 at Almaty, Kazakhstan. The workshop was organized by the High Performance Computing Center Stuttgart (Stuttgart, Germany), al-Farabi Kazakh National University (Almaty, Kazakhstan) and the Institute of Computational Technologies SB RAS (Novosibirsk, Russia) in the framework of activities of the German-Russian Center for Computational Technologies and High Performance

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Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)

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Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series) Overview

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling.

In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies – neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures.

The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.

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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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Introduction to Scientific Computing: A Matrix-Vector Approach Using MATLAB (2nd Edition)

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Introduction to Scientific Computing: A Matrix-Vector Approach Using MATLAB (2nd Edition) Overview

Unique in content and approach, this book covers all the topics that are usually covered in an introduction to scientific computing--but folds in graphics and matrix-vector manipulation in a way that gets readers to appreciate the connection between continuous mathematics and computing. MATLAB 5 is used throughout to encourage experimentation, and each chapter focuses on a different important theorem--allowing readers to appreciate the rigorous side of scientific computing. In addition to standard topical coverage, each chapter includes 1) a sketch of a “hard” problem that involves ill-conditioning, high dimension, etc.; 2)at least one theorem with both a rigorous proof and a “proof by MATLAB” experiment to bolster intuition; 3)at least one recursive algorithm; and 4)at least one connection to a real-world application. The book revolves around examples that are packaged in 200+ M-files, which, collectively, communicate all the key mathematical ideas and an appreciation for the subtleties of numerical computing. Power Tools of the Trade. Polynomial Interpolation. Piecewise Polynomial Interpolation. Numerical Integration. Matrix Computations. Linear Systems. The QR and Cholesky Factorizations. Nonlinear Equations and Optimization. The Initial Value Problem. For engineers and mathematicians.

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Advances in Visual Computing: Second International Symposium, ISVC 2006, Lake Tahoe, NV, USA, November 6-8, 2006, Proceedings, Part II (Lecture Notes in ... Vision, Pattern Recognition, and Graphics)

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Advances in Visual Computing: Second International Symposium, ISVC 2006, Lake Tahoe, NV, USA, November 6-8, 2006, Proceedings, Part II (Lecture Notes in ... Vision, Pattern Recognition, and Graphics) Overview

The two volume set LNCS 4291 and LNCS 4292 constitutes the refereed proceedings of the Second International Symposium on Visual Computing, ISVC 2006, held in Lake Tahoe, NV, USA in November 2006.

The 65 revised full papers and 56 poster papers presented together with 57 papers of ten special tracks were carefully reviewed and selected from more than 280 submissions. The papers cover the four main areas of visual computing: vision, graphics, visualization, and virtual reality. The following topical sections are addressed: segmentation, tracking, and recognition, virtual reality, rendering, visualization, biomedical image analysis, visual computing and biological vision, understanding and imitating nature: analysis, interpretation, rendering and inspiration of biological forms, multimodal data understanding and visualization for industrial applications, intelligent environments: algorithms and applications, calibration, stereo, and reconstruction, computer graphics, discrete and computational geometry and their applications in visual computing, illumination, color, and texture, energy minimization approaches in image processing and computer vision, soft computing in image processing and computer vision, 4D medical data modeling, visualization and measurement, pattern analysis and recognition applications in biometrics, computer vision and applications.

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Computation in Cells and Tissues: Perspectives and Tools of Thought (Natural Computing Series)

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Computation in Cells and Tissues: Perspectives and Tools of Thought (Natural Computing Series) Overview

This book deals with key issues in the emerging interdisciplinary area involving cellular systems, computational modelling, and biologically inspired computing. This highly multidisciplinary book offers a unique blend of topical contributions that are written by biologists, computer scientists and mathematicians with non-expert readers in mind. It reflects important trends and developments in this exciting field of science.

The volume can serve as a textbook and reference book for advanced students and computer scientists, biologists, and mathematicians.

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Geometric Modelling: Dagstuhl 1993 (Computing Supplementa)

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Geometric Modelling: Dagstuhl 1993 (Computing Supplementa) Overview

Experts from university and industry are presenting new technologies for solving industrial problems and giving many important and practicable impulses for new research. Topics explored include NURBS, product engineering, object oriented modelling, solid modelling, surface interrogation, feature modelling, variational design, scattered data algorithms, geometry processing, blending methods, smoothing and fairing algorithms, spline conversion. This collection of 24 articles gives a state-of-the-art survey of the relevant problems and issues in geometric modelling.

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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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Applied Regression Including Computing and Graphics (Wiley Series in Probability and Statistics)

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Ray Carroll and David Ruppert are well known research statisticians who have published many joint articles on regression, weighted regression and transformation and they have also written an excellent book together on this research topic. Stefanski has recently published several papers on measurement error models with Carroll. Here they have teamed up to write a statistics text on a unique topic. Measurement error models are common and practical when dealing with covariates that have measurement error. Least squares estimation in linear regression is based on the assumption that the predictor variables are measured without error. There are many articles and an excellent text by Fuller "Measurement Error Models", published by Wiley in 1988 that deals with the linear case. Also look at a section in Chapter 5 of Miller's "Beyond ANOVA, Basics of Applied Statistics" that refers to the problem as the error in variables problem. For the nonlinear case this is the first treatment. Well written and well documented, this text provides an up-to-date account of the theory and methods and provides real applications (e.g. the Framingham Heart Study). This is a great reference as are many of the other monographs in this series by Chapman and Hall/CRC Press. Includes bootstrap approaches in the chapter on fitting methods and models.

Applied Regression Including Computing and Graphics (Wiley Series in Probability and Statistics) Overview

A step-by-step guide to computing and graphics in regression analysis

In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data analysis.
Accessible, self-contained, and fully referenced, Applied Regression Including Computing and Graphics assumes only a first course in basic statistical methods and provides a bona fide user manual for the Arc software. It is an invaluable resource for anyone interested in learning how to analyze regression problems with confidence and depth.

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Fuzzy Database Modeling (Studies in Fuzziness and Soft Computing)

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Fuzzy Database Modeling (Studies in Fuzziness and Soft Computing) Overview

Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book.

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Marcel: Simulating the Novice Programmer (Cognition and Computing Series)

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Marcel: Simulating the Novice Programmer (Cognition and Computing Series) Overview

This volume describes a cognitive model of student programmers, and an implementation of that model that allows student programmers to be simulated. The focus of the model is on the problem solving that students perform to generate both correct and buggy programs as well as on the individual differences that cause different students to generate different programs for the same programming task. By developing a taxonomy of student programmer knowledge; a model of student program generation; and a preliminary model of individual differences, this research contributes to a better understanding of four areas of the study of student programmers. The most important claim is that a cognitive model of student program generation fits within a properly "fleshed out" generate test-and-debug (GTD) problem solving architecture in which impasse/repair knowledge plays a key role. This research is important theoretically because it explores the use of a GTD impasse/repair problem solving architecture in a new domain, and important practically because of its educational implications for programming instructions.

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