The proceedings contains 8 papers. Topics discussed include natural sciences computing, algorithms, learning systems, database systems, genetic engineering, large scale systems and mathematical models.
The proceedings contains 8 papers. Topics discussed include natural sciences computing, algorithms, learning systems, database systems, genetic engineering, large scale systems and mathematical models.
This report presents a model that covers a wide range of mobile applications. The model is based on the electronic equivalent of the Post-it note, which is called stick-e note. It is hoped that the stick-e model achie...
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This report presents a model that covers a wide range of mobile applications. The model is based on the electronic equivalent of the Post-it note, which is called stick-e note. It is hoped that the stick-e model achieves generality and simplicity.
The paper describes the development and application of an 1 identification method for linear-time invariant single input single output (SISO) systems. Numerical methods applied to produce a reduced order model and an ...
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The paper describes the development and application of an 1 identification method for linear-time invariant single input single output (SISO) systems. Numerical methods applied to produce a reduced order model and an upper bound upon 1 uncertainty of the approximation are also presented.
Mobile end-users will exist in environments subject to rapid and marked change. In order to make best use of the available resources, applications and system services will have to adapt to these changes. In this artic...
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Mobile end-users will exist in environments subject to rapid and marked change. In order to make best use of the available resources, applications and system services will have to adapt to these changes. In this article, a prototype platform developed at Lancaster is described. This platform is designed to support this process of adaptation.
The proceedings contains 7 papers on real time knowledge based systems. Topics discussed include fault diagnosis using cost bounded possibilistic Assumption based Truth Maintenance System (ATMS), scheduling for time c...
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The proceedings contains 7 papers on real time knowledge based systems. Topics discussed include fault diagnosis using cost bounded possibilistic Assumption based Truth Maintenance System (ATMS), scheduling for time constrained model based diagnosis, neural networks for real time knowledge based applications, methodology for developing model based diagnostic systems, large scale real time knowledge based methods and technology, bloom and billet mill expert systems, and a model based and rule based real time tool for monitoring and diagnosis of dynamic systems.
The proceedings contains 5 papers. Topics discussed include the reliability and safety of robotic systems, manipulators, health risks, endoscopy and remote control.
The proceedings contains 5 papers. Topics discussed include the reliability and safety of robotic systems, manipulators, health risks, endoscopy and remote control.
This discussion which is largely a synopsis of a work recently published considers the problems in building interactive systems for mobile computers connected by wireless networks. The history regarding the first tran...
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This discussion which is largely a synopsis of a work recently published considers the problems in building interactive systems for mobile computers connected by wireless networks. The history regarding the first transmission of radio signals over the sea is briefly discussed. Following this, the problems are presented emphasising the main factors why such occur. Finally, several solutions are proposed.
The proceedings contains 9 papers. Topics discussed include process control techniques, industrial applications, computer vision, knowledge based systems, energy management, chemical reactors and reactions, vibration ...
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The proceedings contains 9 papers. Topics discussed include process control techniques, industrial applications, computer vision, knowledge based systems, energy management, chemical reactors and reactions, vibration control, self tuning systems and mathematical models used.
Obtaining and using data from multiple sources to feed into different processes in real time was shown to be possible for transport systems. This has been achieved by integrating a real-time distributed database manag...
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Obtaining and using data from multiple sources to feed into different processes in real time was shown to be possible for transport systems. This has been achieved by integrating a real-time distributed database management system and an ODP environment in the form of ANSAware. The result is the availability of a technology which is important for the transport industry for improving the management of complex interacting transport systems which are characterized by largely incompatible data and processing systems.
Simulations of fuzzy logic and neural network based control algorithms show some useful insights into the potential of soft computing in the control regime of electrical motor servos and drives. Results show that soft...
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Simulations of fuzzy logic and neural network based control algorithms show some useful insights into the potential of soft computing in the control regime of electrical motor servos and drives. Results show that soft computing offers robustness to a conventional PI controller, and can overcome positional steady state error due to the system's nonlinearities. Design procedures are more straightforward as stringent mathematical models and analysis are usually not involved. Formulation of membership functions and tuning the boundaries of these functions are, however, time-consuming, and solutions may not be guaranteed.
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