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Computer-Aided Engineering Journal

Issue 1 • Date February 1987

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Displaying Results 1 - 15 of 15
  • News

    Page(s): 2 - 3
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    Freely Available from IEEE
  • TechAlert

    Page(s): 4 - 5
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    Freely Available from IEEE
  • Editorial

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  • Knowledge-based systems for industrial control

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    Artificial intelligence can assist in industrial control in many ways, but this paper concentrates on the role of knowledge-based systems in the areas of control, detection and diagnosis of faults, scheduling and planning. The paper argues that the application of knowledge-based techniques can provide a unification of these and other activities, and outlines the requirements of knowledge representation and inference techniques that are needed to make such systems a reality. The advances in hardware, including sensors as well as computers, that will be driven by and in turn stimulate the introduction of the knowledge-based industrial control systems are also considered. View full abstract»

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  • The fifth generation, engineers and knowledge engineering

    Page(s): 21 - 23
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    The new fifth generation of computers, now under development, will build upon but not replace the knowledge of engineers. In this paper knowledge engineering concepts are de-mystified with examples from motor vehicle engineering. View full abstract»

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  • Combining inductive and deductive reasoning

    Page(s): 24 - 28
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    Work in artificial intelligence has shown that rule induction is a useful aid to knowledge acquisition but that its general applicability is limited. In particular, induced rules can be difficult to understand and hard to modify. This paper describes a computer program to generate knowledge bases from examples in a form which can be interpreted either as a set of rules or as an inference network. The rules are readily understood so that the structure can be modified by the expert into a form that the program will tune again to fit the examples. This new tool for analysing data/knowledge draws together two very different techniques, inductive and deductive, used in building expert systems. View full abstract»

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  • RESCU - on-line real-time artificial intelligence

    Page(s): 29 - 30
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    RESCU is a real-time expert system for production plants which was developed with the support of the Alvey Directorate and a 25-member club of users. This paper describes the system's structure and discusses its future uses. View full abstract»

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  • A machine learning approach to expert systems for fault diagnosis in communications equipment

    Page(s): 31 - 38
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    This paper describes how a machine learning system (MLS), achieved by using adaptive pattern recognition and filter techniques, is applied as an expert system to fault diagnosis and performance optimisation of microwave digital radios. In other applications the MLS may offer a complete solution or may be combined with more conventional expert system techniques. View full abstract»

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  • An integrated test software development environment

    Page(s): 39 - 41
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    This paper describes an integrated set of test software development tools and a functional programming language. Features of the man-machine interface are described, and the functional test language FTL is introduced. The diagnostic capabilities of the system are outlined. A combined editor and translator is discussed, and finally the interpreter and associated debug utility are described. View full abstract»

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  • The conceptual development an interactive expert system

    Page(s): 42 - 47
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    `The genius of the future lies not in technology alone, but in the ability to manage it¿¿ Based on this motto the author developed a concept for an interactive knowledge-providing system in which the object of the study is incorporated into the system. The input of specific data is adjusted to the type of object and the manner in which it is handled. The concept is described by means of an actually working system for the Sony DASH multi-channel recorder. View full abstract»

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  • Engineering an intelligent voice dialogue controller

    Page(s): 48 - 55
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    This paper examines some of the practical difficulties faced by the engineer trying to develop machine intelligence for a commercial system ¿¿ a voice-operated database inquiry system for the public telephone network. The decisions taken during this project are discussed to highlight some advantages and disadvantages of exploiting machine intelligence techniques. View full abstract»

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  • An intelligent knowledge-based system to provide design and manufacturing data for forging

    Page(s): 56 - 61
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    This paper describes current progress on the combination of finite-element programs for metal flow simulation with die design programs in an IKBS. The principle is that the designer will interrogate the knowledge base to discover whether a component with relevant characteristics has been manufactured before, or falls within the scope of its empirical rules base. If so, the CAD program proceeds directly to an evaluation and, if required, to NC or CNC tool manufacture. If the shape is not recognised, the finite-element program can be called into action for analysis of the stress, strain, strain rate and temperature distributions. From this the pre-forms and die designs can be optimised and the shapes passed to the CAD branch for detailing and subsequent production. View full abstract»

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  • Knowledge-based robotic assembly - a step further towards flexibility

    Page(s): 62 - 67
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    The benefits of applying artificial intelligence techniques are illustrated in this paper by considering an industrial assembly problem. The underlying knowledge base encapsulates experience from the shopfloor as well as academic expertise and improves the productivity of an assembly cell by allowing for recovery actions with very little operator assistance. This can be achieved by providing a general framework for the determination of a successful assembly within a sensor-rich environment together with `intelligent¿ sensor signal processing. Thus the increase in flexibility minimises changeover times between different batches, allowing for smaller batch sizes. View full abstract»

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  • Knowledge-based engineering training

    Page(s): 68 - 70
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    This article summarises work that is currently taking place on the KBET project. It outlines the roles of the participating collaborators and the hardware/software environment for the KBET system. The requirements for training in engineering are explored in relation to the way new training technologies, such as expert systems and interactive video, offer opportunities for improved training. KBET builds on work in intelligent computer-assisted instruction (ICAI), and the way the different components of an ICAI system are used in KBET is outlined. View full abstract»

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  • Products

    Page(s): 71 - 72
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    Freely Available from IEEE