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(ISO 15288 / 42010) Architecting & MBSE Fundamentals: Conceptual Architecting & Modeling Techniques for Complex Systems

Building Real Time AI Agents Using Agentforce, Data cloud, RAG, Prompt Builder, Apex, Flows, Integrations, Slack

The first part of Volume I outlines the origins and development of CNC machine tools. It explains the construction of the equipment and also discusses the various elements necessary to ensure high quality of production. The second part considers how a company justifies the purchase of either cells or systems and illustrates why simulation exercises are essential prior to a full implementation. Communication protocols as well as networking topologies are examined. Finally, the important high-speed machining developments and the drive towards ultra-high precision are mentioned. Following a brief historical introduction to cutting tool development, chapters 1 and 2 of Volume II explain why CNC requires a change in cutting tool technology from conventional methods. A presentation is given of the working knowledge of cutting tools and cutting fluids which is needed to make optimal use of the productive capacity of CNC machines. Since an important consideration for any machine tool is how one can locate and restrain the workpiece in the correct orientation and with the minimum of set-up time, chapter 3 is concerned with workholding technology. Volume III deals with CNC programming. It has been written in conjunction with a major European supplier of controllers in order to give the reader a more consistent and in-depth understanding of the logic used to program such machines. It explains how why and where to program specific features of a part and how to build them up into complete programs. Thus, the reader will learn about the main aspects of the logical structure and compilation of a program. Finally, there is a brief review of so me of the typical controllers currently available from both universal and proprietary builders.

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A Concise Introduction to Computation Models and Computability Theory provides an introduction to the essential concepts in computability, using several models of computation, from the standard Turing Machines and Recursive Functions, to the modern computation models inspired by quantum physics. An in-depth analysis of the basic concepts underlying each model of computation is provided.

Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. These approaches normally are too categorical in the sense that in the name of “modelling accuracy” they try to describe all the structural details of the real physical system to be modelled. This can significantly increase the intricacy of the model and may result in a enormous computational burden without achieving considerable improvement of the solution. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it.

What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.