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Application of AI and model building techniques to software engineering

Application of AI and model building techniques to software ...

引用

iee colloquium on Software Engineering and AI (Artificial Intelligence) (Digest No.087)

作者： S. Bennett D.A. Linkens E.B. Tanyi A. Scott Department of Electrical Engineering Electronics & Control. The National Polytechnic University of Yaounde I Cameroon Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK

The authors have been working on the use of AI techniques to support modelling and simulation of dynamic systems and have developed a demonstration environment KEMS (Knowledge-based Environment for Modelling and Simulation) which is based on the idea of re-usable components. Once the structure of the model is established, KEMS generates automatically the simulation code. The fundamental ideas in KEMS arise from consideration of methodologies for applying AI to the construction of models and hence they have also considered how the techniques can be applied to model-based software engineering methodologies for specification and design of software. They discuss the structure of KEMS, knowledge acquisition and the application to software specification and construction using MASCOT.< >

关键词： Software requirements and specifications Knowledge acquisition Knowledge based systems Software engineering Software reusability

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LOTOS quality control methods using simulation technology

LOTOS quality control methods using simulation technology

引用

iee colloquium on Automating Formal Methods for Computer Assisted Prototying,

作者： R. Booth Commun. Stand. Div. British Telecom plc London UK

Summary form only given. This paper reports on developments in simulation technologies to support the formal language LOTOS and experience using these techniques in the communications field. LOTOS simulation is currently applied to effect quality control through a large part of the development lifecycle. Its first application is in interaction with the non specialist user who needs to understand a formal specification as a customer. This class of use extends to the LOTOS user who will often use simulation as a tool for specification development. The capability to execute specifications also means that they can be tested using much of the theory and practice of software testing. Used in this way simulation provides a flexible and powerful framework for quality control which can exploit much of industries existing expertise and investment in testing technologies.< >

关键词： Formal languages Software requirements and specifications Software testing Quality control Specification languages

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A fault-tolerant interface for self-validating sensors

A fault-tolerant interface for self-validating sensors

引用

iee colloquium on Condition Monitoring and Fault Tolerance

作者： M.P. Henry Department of Engineering Science Oxford University UK

Much effort has been expended in recent years on the development of fault detection and isolation (FDI) techniques for industrial plant. The increasing availability of localised computational power together with the richness of communication provided by digital bus technology offers the necessary infra-structure for FDI techniques to be applied in a more systematic manner throughout industry. The author outlines a scheme in which the self-validating sensor generates an uncertainty value together with an additional status datum for every measurement value. It is suggested that these parameters are applicable to any type of sensor, and convey sufficient information for appropriate control action to be determined. In order to achieve this, the concept of uncertainty must be extended to accommodate the occurrence of faults, while the status value indicates one of a small number of possible generic fault states. using uncertainty calculus it is possible to evaluate the effect of single of multiple sensor failures upon data quality elsewhere in the control scheme.< >

关键词： Fault location Industrial control

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Large scale integration in DC drive controller

Large scale integration in DC drive controller

引用

iee colloquium on ASIC Technology for Power Electronics Equipment

作者： J. Muralee Tharan A.J. Davis Control Techniques Public Limited Company New Town Powys UK

Custom silicon has become an accepted means of carrying out much of the power device control in AC drives since, very often, it is the only economical way of synthesizing complex pulse output patterns. The power devices in a DC drive require relatively simple control sequences but it is possible to clearly demonstrate that digital control using a moderate level of logic integration can be economically applied. The authors describe the use of large scale integration in implementing a digital phase locks loop based firing pulse generator peripheral for a DC drive. By way of convenience it is shown also that other ancillary functions can be integrated with this in a single component.< >

关键词： Application specific integrated circuits DC motors Digital control Digital integrated circuits Drives Large-scale integration Phase locked loops Power electronics Pulse generation

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The use of barrier discharges for pollution control

The use of barrier discharges for pollution control

引用

iee colloquium on Pulsed Power '97 (Digest No: 1997/075)

作者： C.R. Wilson T.J. Giddings P.W. Smith Colt International School of Engineering Sciences Oxford University UK

This paper reports on work carried out at Colt International, the aim of which is to investigate cold oxidation techniques for pollution control using dielectric barrier discharges (DBD). The principle of the DBD has been well reported and so only a brief description is given here. The DBD usually comprises two electrodes, at least one of which is covered with a dielectric material. They are separated by an air-gap of a few millimetres through which the influent air stream passes. When a voltage is applied across these electrodes, the gas initially acts as an insulator and the electrodes present a capacitive load to the power supply. As the voltage increases, electrons gain enough energy from the electric field to ionise molecules in the air and produce an avalanche or micro-discharge.

关键词： Air pollution

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Building robust neural networks for industrial process applications

Building robust neural networks for industrial process appli...

引用

iee colloquium on Neural Networks for Industrial Applications (Digest No. 1997/014)

作者： J. Morris E. Martin Jie Zhang Rhao Shao Centre for Process Chemometrics & Control Newcastle upon Tyne Univ. UK Centre for Process Analysis Chemometrics and Control University of Newcastle UK

An alternative approach to the generation of realistic confidence bounds is proposed which considers two aspects of the data which are known to influence the resultant prediction error. These are the ability of the network to predict the output and the impact of the density of the training data on the resultant bounds. Neural network predictions encompassed by confidence bounds provide a more robust and believable representation of the forecast, and provide industries with greater confidence when using such models as software sensors and for monitoring and control. The power of the technique lies in the fact that it is not necessary to identify an underlying distribution which is difficult to satisfy and that it is equally applicable to all forms of network topologies and non-linear modelling procedures. The two techniques are applied to a pilot plant batch methyl methacrylate polymerisation reactor.

关键词： Neural networks

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Adaptive inferential control

Adaptive inferential control

引用

iee colloquium on Adaptive controllers in Practice - Part Two (Digest No: 1996/060)

作者： K.A. Brodie M.J. Willis M.T. Tham Department of Chemical and Process Engineering University of Newcastle-upon-Tyne

Despite the successful application of advanced predictive control algorithms to many industrial chemical processes satisfactory system performance cannot always be guaranteed. This is often the case where the infrequent measurement of key process outputs is unavoidable due to sampling limitations. In such situations the ability to detect deviations from desired process behaviour is significantly impaired. Inferential estimation techniques employ more easily measured secondary variables to infer the desired primary variable. This facilitates the early detection of disturbances thus improved control performance is to be expected. An adaptive inferential measurement algorithm has been successfully applied to various industrial processes (Lant et al., 1991; Mitchell et al., 1995). This contribution discusses the development of a model based control strategy using the inferential estimation algorithm as a basis. The theoretical development of the adaptive inferential long range predictive control algorithm is outlined. The algorithm offers enhanced control performance when compared to existing model based design strategies.

关键词： Adaptive control

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Adaptive neurofuzzy systems for difficult modelling and control problems

Adaptive neurofuzzy systems for difficult modelling and cont...

引用

iee colloquium on Advances in Neural Networks for control and Systems

作者： M. Brown C.J. Harris Advanced Systems Research Group Department of Aeronautics & Astronautics University of Southampton Southampton UK

The ability to learn is the cornerstone of current neural technology. It was responsible for their decline in the late sixties when it was shown that the perceptron training algorithm could not be easily extended to multilayered networks, and also the revival of interest in these techniques was initiated by the discovery of a multilayer network adaptation rule. Artificial neural networks attempt to mimic a human's information processing capabilities by building neuronally inspired systems which learn to interact with their environment in a desirable fashion. There are many engineering problems which could benefit from the use such of such systems, although there are also problems with applying these adaptive networks. Most artificial neural networks can be regarded as "black box" learning systems; they are difficult initialise as knowledge is stored in an opaque fashion and validation can only performed using input/output data; their internal structure provides little information to an engineer. In addition, the generalisation, modelling and learning abilities of these networks are generally poorly understood, although such results are necessary when these adaptive systems are applied online in safety critical situations.< >

关键词： Adaptive systems Fuzzy neural networks Learning systems

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Systems engineering-harnessing technology for profit

Systems engineering-harnessing technology for profit

引用

iee colloquium on In House Systems Engineering Practice

作者： J.C. Spanton West Midland Technology Limited UK

The massive changes occurring in the market place require businesses of all sizes to take long term views about their plans and strategies. These changes are political, customer driven and technological. Product life-cycles are reducing whilst development lead times are increasing. To obtain reduced costs, companies are investing in new methods and procedures such as MRP, JIT, etc., and in new techniques using computer-based tools such as CAD, robotics and programmable controllers. The efficient integration and implementation of these systems requires changes in company culture and involves increasing demands on management and engineering skills. An approach to implementing technological change in manufacturing industry, now receiving increasing attention in the UK, is called 'systems engineering'. This paper considers a few basic systems concepts applied to a business implementing technology change.< >

关键词： Management Industrial control Manufacturing data processing Systems engineering

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Integrated data visualisation and classification using growing cell structure neural networks applied to the diagnosis of breast cancer

Integrated data visualisation and classification using growi...

引用

iee colloquium on Intelligent Methods in Healthcare and Medical Applications (Digest No. 1998/514)

作者： A.J. Walker S.S. Cross R.F. Harrison Department of Automatic Control & Systems Engineering University of Sheffield UK Department of Pathology University of Sheffield Medical School UK

The technique described provides a comprehensive integrated tool for the visualisation, analysis and classification of multidimensional data that is simple and intuitive to use owing to its visual nature. As an integrated tool, it provides users with the maximum information, allowing them to see how the classification system works and which subgroups of data it is able to classify confidently and which it is not. Further, it allows the potential for users to specify arbitrary decision boundaries to discriminate between subgroups of the data of particular interest in a way that is not possible in general classification systems. The technique has been demonstrated by application to the diagnosis of breast cancer from FNAB (Fine Needle Aspirates of Breast tissue) data, where it proved highly successful both in terms of classification results and the detection of correlations between input variables and the desired classification. The promise of the technique has been further demonstrated by the reaction of experienced doctors who found the method to be both simple and intuitive to use and in some respects more useful than existing statistical techniques.

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