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Workshop on Parallel and distributed Real-Time systems

作者： A.J. Wellings S. Mitchell A. Burns Real time Systems Research Group Department of Computer Science University of York York UK

Integrating concurrent and object-oriented language facilities is currently an active research area. There are a few experimental languages which attempt to combine various models of concurrency within an OOP framework. Most of these suffer from the so called inheritance anomaly where a concurrent object's synchronisation code needs to be modified if the object is extended. Ada 95 has avoided some of these problems by integrating protected types into the model of type extensibility. However this has been at the expense of some loss of generality. This paper considers three paradigms of combining protected types with the type extension. The strengths and weaknesses of each approach is discussed. We conclude that none of the approaches are entirely satisfactory and they either suffer from the inheritance anomaly or preclude further extensions.< >

关键词： Object oriented programming Protection Object oriented modeling Packaging Displays Real time systems computer science Concurrent computing computer languages

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High dimensional neurofuzzy systems: overcoming the curse of dimensionality

High dimensional neurofuzzy systems: overcoming the curse of...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： M. Brown K.M. Bossley D.J. Mills C.J. Harris Image Speech and Intelligent Systems Research Group Department of Electronics and Computer Science Southampton University Southampton UK

Many researchers do not appreciate the problems in building high-dimensional fuzzy models or control surfaces, yet this task has occupied researchers in several fields for the past thirty years. The problems occur due to the lack of both available training data and the required computational resources necessary for building and calculating the response of the model. This paper outlines several techniques for partially overcoming the curse of dimensionality associated with high-dimensional data modelling problems and compares and contrasts them with several algorithms developed in the statistical community. The work is intended to outline both conventional concepts which can be usefully applied in neurofuzzy models and new developments in this field.< >

关键词： Fuzzy systems Fuzzy sets Artificial neural networks Fuzzy reasoning Fuzzy control Milling machines Speech Intelligent systems Intelligent structures computer science

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Segmentation of magnetic resonance images of the thorax by backpropagation

Segmentation of magnetic resonance images of the thorax by b...

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International Conference on Neural networks

作者： I. Middleton R.I. Damper Image Speech and Intelligent Systems (ISIS) Research Group Department of Electronics and Computer Science University of Southampton Southampton UK

Segmentation of images-especially medical images-is an important problem for which automatic solutions are urgently sought. In this paper, we report on work in which neural networks are trained by backpropagation to segment magnetic resonance (MR) images of the thorax, by classifying pixels as either boundary (pixels on the boundary between lung interior and surrounding tissue) or non-boundary. networks trained on part of a single image slice from a particular patient produce an output for the whole slice in which the lung outline is considerably enhanced. They are also able to generalise successfully to other slices from the same patient.

关键词： Image segmentation Magnetic resonance Thorax Magnetic resonance imaging Lungs Biomedical imaging Neural networks Pixel Robustness Visualization

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Automatic discovery of features underlying the perception of voicing

Automatic discovery of features underlying the perception of...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： R.I. Damper Image Speech and Intelligent Systems (ISIS) Research Group Department of Electronics and Computer Science University of Southampton Southampton UK

Responses of both human and animal listeners to synthetic stop-consonant/vowel stimuli in which voice-onset time (VOT) is uniformly varied are known to be 'categorical' but an explanation of this phenomenon remains elusive. A 'composite' model consisting of a physiologically-realistic auditory model feeding its patterns of neural firing to an artificial neural network is described. When trained by (supervised) error back-propagation on the extreme, end-points of the VOT continuum, the composite model is capable of reproducing closely listeners' behaviour in classical categorical-perception (CP) studies. However, whether the model also reproduces the so-called boundary-shift phenomenon-whereby the phoneme boundary moves with place of articulation-apparently depends upon the precise details of the auditory model and so, by implication, upon subtle aspects of peripheral auditory processing. A first attempt at unsupervised training has been unsuccessful: the likely reason for this is outlined. It is anticipated that future work comparing the model's responses for unsupervised versus supervised training will help to elucidate the mechanisms of categorical perception.

关键词： Speech Biological system modeling Humans Intelligent systems Intersymbol interference computer science Animals Artificial neural networks Tail Heart

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Implementing the k-nearest neighbour rule via a neural network

Implementing the k-nearest neighbour rule via a neural netwo...

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International Conference on Neural networks

作者： Yan Qiu Chen M.S. Nixon R.I. Damper Department of Computer Studies University of Glamorgan Pontypridd UK Image Speech and Intelligent Systems ISIS Research Group Department of Electronics and Computer Science University of Southampton Southampton UK

ISBN: (纸本)0780327683

Presents a novel neural-network architecture which implements the k-nearest neighbour rule of pattern recognition. The architecture is synchronous (i.e. clocked) and has an essentially feedforward structure, but also incorporates feedback to control sequential selection of the k neighbours. Network training uses non-iterative weight calculations rather than iterative backpropagation. Analysis of the network shows that it will converge to the desired solution (classifying the input pattern according to the k-nearest neighbour rule) within 2 k clock cycles. The space complexity of the network is O(N/sub T//sup 2/), where N/sub T/ is the number of training patterns. This work offers prospects for an ultra-fast, parallel implementation of a proven pattern classifier.

关键词： Neural networks Clocks Pattern recognition Neurofeedback Backpropagation Pattern analysis

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On the condition of adaptive neurofuzzy models

On the condition of adaptive neurofuzzy models

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： M. Brown P.E. An C.J. Harris Image. Speech and Intelligent Systems Research Group Department of Electronics and Computer Science Southampton University Southampton Hampshire UK Department of Ocean Engineering Florida Atlantic University USA

Learning within fuzzy and neurofuzzy systems is becomingly increasingly important as researchers try to infer qualitative, vague information from quantitative, numeric data. The fuzzy representation of an adaptive neurofuzzy system is important both for initialisation and validation purposes, where a designer needs to interpret the knowledge stored in a network. Therefore it is important to study the convergence and rate of convergence characteristics of the parameters in a neurofuzzy model and investigate how this depends on the system's structure. This paper considers how the condition of the input fuzzy sets determines the convergence and generalisation abilities of the network and describes several new results about instantaneous least mean square training rules.< >

关键词： Fuzzy systems Fuzzy sets Convergence Fuzzy neural networks Spline Speech Intelligent systems computer science Oceans Adaptive systems

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A neurofuzzy route to breast cancer diagnosis and treatment

A neurofuzzy route to breast cancer diagnosis and treatment

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： N.A. Bridgett J. Brandt C.J. Harris Image Speech and Intelligent Systems Research Group Department of Electronics and Computer Science University of Southampton Southampton UK School of Mathematical & Information Sciences Coventry University Coventry UK

In this paper an outline is given of a modelling approach, using neurofuzzy networks, to be used in an intelligent oncology workstation for the improved treatment and diagnosis of breast cancer. This neurofuzzy approach is intended to assist in the provision of the most suitable treatment and therapy for the individual patient in this important medical domain and to seek to add to knowledge in this vital area to yield improved diagnostic and treatment techniques. The major component of the system is a high-dimensional approximator neurofuzzy network (Adaptive Spline Modelling of Observation Data or AS-MOD) which is a constructive learning algorithm used to automatically generate high-dimensional approximations and to identify complex relationships between input variables and the measured output to form models which may be interpreted as sets of linguistic fuzzy rules.< >

关键词： Breast cancer Medical treatment Intelligent networks Oncology Workstations Medical diagnostic imaging Adaptive systems Spline Input variables Fuzzy neural networks

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A distributed MEDIA ACCESS PROTOCOL FOR PACKET RADIO networks AND PERFORMANCE ANALYSIS .2. NETWORK SET-UP TIME AND DATA RATE

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INTERNATIONAL JOURNAL OF COMMUNICATION systems 1995年第1期8卷 49-63页

作者： POND, LC LI, VOK Communication Sciences Electrical Engineering Systems University of Southern California Los Angeles CA 90089-2565 U.S.A. Lawrence C. Pond received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Southern California in 1983 and 1990 respectively. Dr. Pond is currently a scientist at Hughes Space and Communications Company having joined in 1980. He has worked in the fields of communication system design mobile communication network and spacecraft payload design. He is currently working on the development of satellite-based ATM transport and switching architectures for BISDN and Defense Information System Network amlications. Dr. Pond is a member of IEEE. Victor O. K. Li was born in Hong Kong in 1954. He received his SB SM and Sc.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology Cambridge Massachusetts in 1977 1979 and 1981 respectively. Since February 1981 he has been with the University of Southern California (USC) LOS Angeles California where he is Professor of Electrical Engineering and Director of the USC Communication Sciences Institute. He has published 150 technical papers and has lectured and consulted extensively around the world. His research interests include high-speed communication networks personal communication networks intelligent networks distributed databases queueing theory graph theory and applied probability. Dr. Li is very active in the Institute of Electrical and Electronic Engineers (IEEE) having been a member of the Computer Communications Technical Committee since 1983 and having served as Chairman from 1987–1989. He served as Chairman of the Los Angeles Chapter of the IEEE Information Theory Group from 1983–1985. He is the Steering Committee Chair of the International Conference on Computer Communications and Networks (IC3 N) General Chair of the 1st Annual IC3N held in San Diego California in June 1992 General Chair and Technical Program Chair of the 4th IEEE Workshop on Comp

In this, the second part of a two-part paper, the required time for establishing a mobile packet radio network using the virtual circuit and time division multiple access protocol developed in Part 1 is analysed. Tools are developed to determine the virtual circuit and network set-up times in terms of the channel bandwidth allocated to establish and maintain the network. The tools are then extended to include the effects of user mobility. Then these results are combined with the network capacity results of Part 1 to analyse the trade-off between the data rate and set-up time of the network. Next a hierarchical architecture is proposed and the network data rate versus set-up time trade-off of this architecture is analysed using these tools. This architecture is shown to both provide a higher data rate and establish faster than flat networks of the same number of nodes.

关键词： PACKET RADIO NETWORK EPLRS distributed NETWORK TDMA VIRTUAL CIRCUITS MULTIHOP NETWORK BOUNDED DELAY MOBILITY NETWORK SET-UP TIME HIERARCHICAL NETWORK NETWORK DATA RATE

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An Overview of an Intelligent Decision Support System for Breast Cancer Diagnosis & Treatment

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IFAC Proceedings Volumes 1995年第10期28卷 267-272页

作者： N.A. Bridgett J. Brandt C.J. Harris Image Speech and Intelligent Systems Research Group Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ U.K. School of Mathematical & Information Sciences Coventry University Coventry CV1 5FB U.K

In this paper the main systems features are described of a proposed Multimedia INtelligent Oncology Workstation (MINOW) for use in the diagnosis and treatment of breast cancer. The MINOW tool is conceived as a distributed intelligent decision support system based on Object Technology and Open systems for which development would be an ongoing evolutionary process. Issues of system architecture and interface design have been outlined, and major system components such as the application of a constructive learning algorithm and the use of a fuzzy knowledge repository have been described

关键词： Medical systems diagnosis neural networks fuzzy logic expert systems

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PARALLEL AND distributed TLM COMPUTATION WITH SIGNAL-PROCESSING FOR ELECTROMAGNETIC-FIELD MODELING

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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC networks DEVICES AND FIELDS 1995年第3-4期8卷 169-185页

作者： SO, PPM ESWARAPPA, C HOEFER, WJR NSERC/MPR Teltech Research Chair in RF Engineering Department of Electrical and Computer Engineering University of Victoria Victoria British Columbia V8W 3P6 Canada Poman So received his B.Sc. degree in computer science and physics from the University of Toronto Toronto Onatario Canada in 1985. He obtained his B.A. Sc. and M.A.Sc. degrees in electrical engineering (summa cum laude) from the University of Ottawa Ottawa Ontario Canada in 1987 and 1989 respectively. Mr So was a research engineer in the University of Ottawa from January 1989 to October 1991 his research interests included CAD techniques of microwave circuits and numerical methods for electromagnetic wave modelling. He specialized in the development of electromagnetic engineering CAD software and successfully implemented a number of electromagnetic wave simulators based on the two-dimensional and three-dimensional transmission-line matrix methods. From August 1990 to February 1991 he accompanied Professor W. J. R. Hoefer to Rome Italy and Sophia Antiopolas France. During that time he implemented a parallel version of the 3D-TLM simulator for the CM-2 Connection Machine using C-Star and X Windows Library. He is a research engineer and a Ph.D. student at the University of Victoria Victoria British Columbia Canada. He ported the 2D- and 3D-TLM simulators to DECmpp 1200 massively parallel computer using MPL C and C++. He also combined OSA90/hope a commercially available microwave CAD program with a 2D-TLM simulation module for geometry optimization using the Datapipe technique of OSA90/hope. Recently he has developed a distributed client-server computing technique for the TLM method this technique could accelerate the TLM simulation by more than an order of magnitude. Channabasappa Eswarappa received the M.Tech. degree in electrical engineering from the Indian Institute of Technology Kanpur India in 1983 and Ph. D. degree from the University of Ottawa Canada in 1990. He worked as an Assistant Executive Engineer and later as

This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.

关键词： Mathematical models

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