Information Modeling for Interoperable Dimensional Metrology

Information Modeling for Interoperable Dimensional Metrology Review

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Information Modeling for Interoperable Dimensional Metrology Feature

Dimensional metrology is an essential part of modern manufacturing technologies, but the basic theories and measurement methods are no longer sufficient for today's digitized systems. The information exchange between the software components of a dimensional metrology system not only costs a great deal of money, but also causes the entire system to lose data integrity. Information Modeling for Interoperable Dimensional Metrology analyzes interoperability issues in dimensional metrology systems and describes information modeling techniques. It discusses new approaches and data models for solving interoperability problems, as well as introducing process activities, existing and emerging data models, and the key technologies of dimensional metrology systems. Written for researchers in industry and academia, as well as advanced undergraduate and postgraduate students, this book gives both an overview and an in-depth understanding of complete dimensional metrology systems. By covering in detail the theory and main content, techniques, and methods used in dimensional metrology systems, Information Modeling for Interoperable Dimensional Metrology enables readers to solve real-world dimensional measurement problems in modern dimensional metrology practices. 

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Process Dynamics, Modeling, and Control (Topics in Chemical Engineering)

Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) Review

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Process Dynamics, Modeling, and Control (Topics in Chemical Engineering) Feature

This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical quality control, and model-based control. This book is designed to be used as an introductory text for undergraduate courses in process dynamics and control. In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments.
The material is organized so that modern concepts are presented to the student but details of the most advanced material are left to later chapters. The text material has been developed, refined, and classroom tested over the last 10-15 years at the University of Wisconsin and more recently at the University of Delaware. As part of the course at Wisconsin, a laboratory has been developed to allow the students hands-on experience with measurement instruments, real time computers, and experimental process dynamics and control problems.

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Advances in Conceptual Modeling

Advances in Conceptual Modeling Review

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Advances in Conceptual Modeling Feature

This book constitutes the refereed joint proceedings of eight international workshops held in conjunction with the 28th International Conference on Conceptual Modeling, ER 2009, in Gramado, Brazil, in November 2009. The 33 revised full papers presented were carefully reviewed and selected from 100 submissions. Topics addressed by the workshops are active conceptual modeling of learning (ACM-L), conceptual modeling in the large (CoMoL), evolving theories of conceptual modeling (ETheCoM), workshop on foundations and practices of UML (FP-UML), joint international workshop on metamodels, ontologies, semantic technologies, and information systems for the semantic web (MOST-ONISW), quality of information systems (QoIS), requirements, Intentions and goals in conceptual modeling ( RIGiM) and semantic and conceptual issues in geographic information systems (SeCoGIS).

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Intelligent Modeling, Diagnosis and Control of Manufacturing Processes (World Scientific Series in Automation)

Intelligent Modeling, Diagnosis and Control of Manufacturing Processes (World Scientific Series in Automation) Review

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Intelligent Modeling, Diagnosis and Control of Manufacturing Processes (World Scientific Series in Automation) Feature

This edited volume demonstrates that the key to the modelling, diagnosis and control of the next generation manufacturing processes is to integrate knowledge-based systems with traditional techniques. An up-to-date study is given here of this relatively recent development. The book is for those working primarily with traditional techniques and those working in the knowledge-based systems field. Both sets of readers will find it to be a source of many specific ideas about the intelligence of knowledge-based systems with traditional techniques, and carrying a wealth of useful references.

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Computing Tools for Modeling, Optimization and Simulation

Computing Tools for Modeling, Optimization and Simulation Review

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Computing Tools for Modeling, Optimization and Simulation Feature

Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to create more efficient and powerful software tools in the years ahead. The 17 papers included in this volume were carefully selected to cover a wide range of topics related to the interface between operations research and computer science. The volume includes the now perennial applications of rnetaheuristics (such as genetic algorithms, scatter search, and tabu search) as well as research on global optimization, knowledge management, software rnaintainability and object-oriented modeling. These topics reflect the complexity and variety of the problems that current and future software tools must be capable of tackling. The OR/CS interface is frequently at the core of successful applications and the development of new methodologies, making the research in this book a relevant reference in the future. The editors' goal for this book has been to increase the interest in the interface of computer science and operations research. Both researchers and practitioners will benefit from this book. The tutorial papers may spark the interest of practitioners for developing and applying new techniques to complex problems. In addition, the book includes papers that explore new angles of well-established methods for problems in the area of nonlinear optimization and mixed integer programming, which seasoned researchers in these fields may find fascinating.

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Modeling with Data: Tools and Techniques for Scientific Computing

Modeling with Data: Tools and Techniques for Scientific Computing Review

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Modeling with Data: Tools and Techniques for Scientific Computing Feature

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.

Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date.

Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.

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Effective Competency Modeling and Reporting (With CD-ROM)

Effective Competency Modeling and Reporting (With CD-ROM) Review

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Effective Competency Modeling and Reporting (With CD-ROM) Feature

This text provides guidelines for constructing an entire competency modelling, assessment, and reporting process. This performance-enhancing process applies to every position in an organization, enabling employers to identify the competencies required to perform daily, tactical work tasks.

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Advanced Reliability Modeling: Proceedings of the 2004 Asian International Workshop (AIWARM 2004), Hiroshima, Japan, 26

Advanced Reliability Modeling: Proceedings of the 2004 Asian International Workshop (AIWARM 2004), Hiroshima, Japan, 26 Review

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Advanced Reliability Modeling: Proceedings of the 2004 Asian International Workshop (AIWARM 2004), Hiroshima, Japan, 26 Feature

The 2004 Asian International Workshop on Advanced Reliability Modeling is a symposium for the dissemination of state-of-the-art research and the presentation of practice in reliability engineering and related issues in Asia. It brings together researchers, scientists and practitioners from Asian countries to discuss the state of research and practice in dealing with reliability issues at the system design (modeling) level, and to jointly formulate an agenda for future research in this engineering area. The proceedings cover all the key topics in reliability, maintainability and safety engineering, providing an in-depth presentation of theory and practice.

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Reliability Modeling, Analysis And Optimization

Reliability Modeling, Analysis And Optimization Review

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Reliability Modeling, Analysis And Optimization Feature

As our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in reliability and its applications. The book comprises twenty-three chapters organized into four parts: Reliability Modeling, Software Quality Engineering, Software Reliability, and Maintenance and Inspection Policies. These sections cover a wide range of important topics, including system reliability modeling, optimization, software reliability and quality, maintenance theory and inspection, reliability failure analysis, sampling plans and schemes, software development processes and improvement, stochastic process modeling, statistical distributions and analysis, fault-tolerant performance, software measurements and cost effectiveness, queueing theory and applications, system availability, reliability of repairable systems, testing sampling inspection, software capability maturity model, accelerated life modeling, statistical control, and HALT testing.

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Software Process Change: International Software Process Workshop and International Workshop on Software Process Simulation and Modeling, SPW/ProSim 2006, Shanghai, China, May 20-21, 2006, Proceedings

Software Process Change: International Software Process Workshop and International Workshop on Software Process Simulation and Modeling, SPW/ProSim 2006, Shanghai, China, May 20-21, 2006, Proceedings Review

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Software Process Change: International Software Process Workshop and International Workshop on Software Process Simulation and Modeling, SPW/ProSim 2006, Shanghai, China, May 20-21, 2006, Proceedings Feature

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