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The third-order output IM adjacent to the fundamental F 1, or to its harmonic, has power 2 pout,F 1 pout,F 2 pout,IM3 ( 2f1 f2 ) = (25) 2 pOIP3,IM or Pout,IM3 ( 2f1 f2 ) = 2Pout,F 1 + Pout,F 2 2POIP3,IM . The equivalent third-order input IM is pin,IM3 ( 2f1 f2 ) = or Pin,IM3 ( 2f1 f2 ) = 2Pin,F 1 + Pin,F 2 2PIIP3,IM . The ratio of this third-order IM to the fundamental pout,F 1 adjacent to it is pout,F 1 pout,F 2 pout,IM3 ( 2f1 f2 ) = 2 pout,F 1 pOIP3,IM = pin,IM3 ( 2f1 f2 ) pin,F 1 pin,F 2 = 2 pin,F 1 pIIP3,IM (29) (30) (28)

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This meta-model is a UML class diagram in which each concept is depicted as a class, and the relationships between the concepts are either an association or a specialization The meta-model also indicates which factors would hinder or prevent the business from achieving its goals..

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The first chapter, Concurrent and Networked Objects, presents an overview of the challenges facing developers of concurrent and networked object-oriented applications and middleware We use a real example, a concurrent Web server, to illustrate key aspects of these domains, including service access and configuration, event handling, synchronization, and concurrency s 2 through 5 form the main part of the book They contain patterns, the 'real things' [U2], that codify well-established principles and techniques for developing high-quality concurrent and networked systems We hope these patterns will be useful role models for developing your own concurrent and networked applications, and for documenting patterns that you discover 6, Weaving the Patterns Together, discusses how the patterns in s 2 through 5 are interconnected We also show how they can be connected with other patterns in the literature to form a pattern language for concurrent networked systems and middleware.

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As mentioned earlier, some patterns are also applicable outside the context of concurrent and networked systems For these patterns we summarize the scope of their applicability 7, The Past, Present, and Future of Patterns, revisits our 1996 forecast on 'where patterns will go', published in the first volume of the Pattern-Oriented Software Architecture series We discuss the directions that patterns actually took during the past four years and analyze where patterns and the patterns community are now Based on this retrospection, we revise our vision about future research and the application of patterns and pattern languages.

1. The ideas in this chapter on activity-based resource planning (ABRP) are based on excellent research from a professional society, the ActivityBased Budgeting Project Team of the Consortium of Advanced Manufacturing International s (CAM-I) Cost Management Systems (CMS) group. More information is available at www.cam-i.org. 2. More can be learned about RCA at www.rcainfo.com.

The book ends with a general reflection on the patterns we present, a glossary of frequently used terms, an appendix of notations, an extensive list of references to work in the field, a pattern index, a general subject index, and an index of names that lists all persons who helped us shaping this book Supplementary material related to this book is available on-line at http://wwwposauciedu/ This URL also contains links to the ACE and TAO source code that contains C++ and some Java examples for all the patterns in this book There are undoubtedly aspects of concurrent and networked object systems that we have omitted, or which will emerge over time when applying and extending our pattern language in practice If you have comments, constructive criticism, or suggestions for improving the style and content of this book, please send them to us via electronic mail to <patterns@mchp.

The flow of parts passing through the production line is assumed to be continuous. Then the performance evaluation method uses an aggregation technique and/or a decomposition technique. Nowadays we have efficient analytical methods to evaluate the performance of certain classes of manufacturing systems. Assuming that the treatment duration of parts is exponentially distributed independently and that the machines are independent, a first algorithm for evaluating the performance of a production line has been proposed. Its convergence speed has been increased by Dallery, David and Xie [DAL 89]. More recently, the quality of the results has been improved by Dallery and Le Bihan [DAL 97] using a better characterization in the decomposition procedure. However, these analytical methods and the new decomposition scheme do not capture the variability of the flow in high throughput manufacturing systems. Now let us consider the performance evaluation methods dedicated to the structures of strongly connected marked graphs. We will be interested more particularly in the characterization of the permanent mode.

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