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Teaching object oriented software engineering within a multiple paradigm context

Teaching object oriented software engineering within a multi...

引用

Software Education Conference

作者： E. Chang Department of Computer Science and Computer Engineering La Trobe University and Intelligent Systems Laboratory Applied Computing Research Institute

The paper describe the teaching of object-oriented ideas within all four years of a Bachelor of Computer System Engineering and the BSc in Computer Science Degree at La Trobe University. This is taught together with a variety of other traditional approaches. A key element in the teaching of OO is the Software Engineering Project, which is explained in some detail. The teaching is also complicated by a number of different target student populations. This also provides us with an opportunity to study the effect of different factors on the learning of OO by the students. The experience indicates that OO is a significant software engineering paradigm, well accepted by the students.< >

关键词： Education Software engineering systems engineering and theory Computer science Design engineering intelligent systems Computer industry Feedback Computer networks Computer network management

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A distributed real-time intelligent alarm processing system with symbolic-connectionist computation

A distributed real-time intelligent alarm processing system ...

引用

IEEE Workshop on Real-Time Applications

作者： R. Khosla T. Dillon Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University Melbourne VIC Australia

We outline the features of a cognitively compatible symbolic-connectionist architecture for complex data intensive time-critical domains especially in the diagnostic area. We examine how a symbolic-connectionist architecture copes with the time-critical and size complexity aspects of a real time alarm processing system developed for a regional power system control centre.< >

关键词： Real time systems intelligent systems distributed computing Power systems Power system control Computer architecture Delay Object oriented modeling Humans Laboratories

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TASK DECOMPOSITION AND COMPETING EXPERT-SYSTEM - ARTIFICIAL NEURAL-NET OBJECTS FOR RELIABLE AND REAL-TIME INFERENCE

TASK DECOMPOSITION AND COMPETING EXPERT-SYSTEM - ARTIFICIAL ...

引用

1993 IEEE INTERNATIONAL CONF ON NEURAL NETWORKS / 2ND INTERNATIONAL CONF ON FUZZY systems

作者： KHOSLA, R DILLON, T Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University Bundoora 3083 VIC Australia

ISBN: (纸本)0780309995

The properties of Artificial Neural Networks(ANNs) like massive parallelism, generalization make them amenable for application in various diagnostic/time-critical problem domains including alarm processing in power systems. However, enormous size of power systems haB inhibited real time use of ANNs. In this paper, we apply an integrated model for real time alarm processing in a real world terminal power station. The integrated model is a combination of a generic neuro-expert system model, object model, and unix operating system process(UOSP) model. We show how the massive parallelism and fast execution features of ANNs help us to cope with real-time system constraints like data variability and fast response time. For further enhancing reliability we propose a practical use of competing ES-ANN objects. © 1993 IEEE.

关键词： Neural networks

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An asynchronous neural network model for the shortest path problem

An asynchronous neural network model for the shortest path p...

引用

IEEE International Conference on Neural Networks, ICNN 1993

作者： Zhao, Songhe Dillon, T.S. Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University BundooraVIC3083 Australia Northern Jiao-tong University Beijing China

ISBN: (纸本)0780309995

researchers have shown that the neural network models can be used to find solutions for many optimization problems. Most of these models are energy based models and there is no guarantee the network converges to a global optimal solution. In this paper, we propose a new neural shortest path network model which no special convergence procedure needs to be performed. The network can work in purely an asynchronous mode and guarantees to reach the global optimal solution. © 1993 IEEE.

关键词： Neural network models

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Task decomposition and competing expert system-artificial neural net objects for reliable and real time inference

Task decomposition and competing expert system-artificial ne...

引用

International Conference on Neural Networks

作者： R. Khosla T.S. Dillon Expert and Intelligent Systems Laboratory Applied Computing Research Institute and Department of Computer Science and Computer Engineering La Trobe University Bundoora VIC Australia

An integrated model for real time alarm processing in a real world terminal power station is applied. The integrated model is a combination of a generic neuro-expert system model, object model, and UNIX operating system process (UOSP) model. It is shown how the massive parallelism and fast execution features of ANNs help to cope with real-time system constraints like data variability and fast response time. For further enhancing reliability, a practical use of competing expert system-artificial neural networks (ES-ANN) objects is proposed.< >

关键词： Neural networks Power system modeling Electronic switching systems Real time systems Artificial neural networks Computer network reliability Power system reliability Computer networks Concurrent computing Power engineering computing

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Parallel distributed implementation of the shortest path algorithm

Parallel distributed implementation of the shortest path alg...

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International Joint Conference on Neural Networks (IJCNN)

作者： Songhe Zhao T.S. Dillon Expert and Intelligent Systems Laboratory Applied Computing Research Institute& Department of Computer Science Computer Engineering La Trobe University Bundoora VIC Australia

Neural network (or parallel distributed processing) models have been shown to have some potential for solving optimisation problems. Most formulations result in NP-complete problems and solutions rely on energy based models, so there is no guarantee that the network converges to a global optimal solution. In this paper, we propose a non-energy based neural shortest path network based on the principle of dynamic programming and least take all network. No problem of local minima exists and it guarantees to reach the optimal solution. The network can work purely in an asynchronous mode which greatly increases the computation speed.

关键词： Neurons Neural networks Concurrent computing Computer networks distributed computing NP-complete problem Computer architecture Parallel processing Shortest path problem intelligent systems

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An asynchronous neural network model for shortest path problem

An asynchronous neural network model for shortest path probl...

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International Conference on Neural Networks

作者： S. Zhao T.S. Dillon Northern Jiaotong University Beijing China Expert and Intelligent Systems Laboratory Applied Computing Research Institute & Department of Computer Science & Computer Engineering La Trobe University Bundoora VIC Australia

Most neural network models are energy based models and there is no guarantee that the network converges to a global optimal solution. A new neural shortest path network model is proposed in which no special convergence procedure needs to be performed. The network can work in a purely asynchronous mode, and is guaranteed to reach the global optimal solution.< >

关键词： Neural networks Shortest path problem Neurons Computer networks intelligent systems intelligent networks Laboratories Computer science Power engineering and energy Algorithm design and analysis

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Fuzzy multi objective decision making with linear programming

Fuzzy multi objective decision making with linear programmin...

引用

1992 IEEE International Workshop on Emerging Technologies and Factory Automation, ETFA 1992

作者： Isomursu, Pekka Dillon, Tharam S. Computer Technology Laboratory Technical Research Centre of Finland P.O. Box 201 OuluSF-90571 Finland Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University BundooraVIC3083 Australia

ISBN: (纸本)0780308867

This paper critically studies approaches that use the theory of fuzzy sets for multi objective decision making with linear programming. Two main approaches are distinguished: one that converts the problem into a single objective linear programming problem, and another that uses multi objective linear programming. Both advantages and disadvantages of the approaches are discussed. To overcome some of the disadvantages, a new combination of the two methods is proposed. © 1992 IEEE.

关键词： Linear programming

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Dominant representations: a paradigm for mapping parallel computations

Dominant representations: a paradigm for mapping parallel co...

引用

International Symposium on Parallel Processing

作者： A. Mohindra S. Yalamanchili Distributed Systems Group College of Computing Georgia Institute of Technology Atlanta GA USA Computer Systems Research Laboratory School of Electrical Engineering Georgia Institute of Technology Atlanta GA USA

Proposes a simple paradigm for constructing heuristics for the static assignment of parallel programs onto asynchronous, distributed memory, multiprocessor architectures. The proposed paradigm involves capturing the dominant computation and communication components of an application and using this relatively simpler program representation to determine an assignment. Thus, the mapping problem is reduced from its most general form to a simpler form which often has optimal solutions.< >

关键词： Concurrent computing Computer architecture distributed computing Memory architecture Tree graphs Educational institutions Runtime Laboratories Bandwidth Computational efficiency

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An Integrated Neuro-Expert System Model for Real-Time systems

An Integrated Neuro-Expert System Model for Real-Time System...

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IJCNN International Joint Conference on Neural Networks

作者： R.Khosla T.S.Dillon Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engg.La Trobe UniversityMelbourneVictoriaAustralia

In order to broaden the scope of application of NN's there has been a recent surge of interest in combining artificial neural networks with expert systems to solve real world *** two approaches need to be integrated in a way that we exploit their strengths and cover their *** generalizing effects of neural nets need to be safely used especially in real-time *** this paper we propose a generic neuro - expert system model which can be used in various problem domains(especially engineering).In order to realize the strengths of both artificial neural nets and expert systems,the model is integrated into an object model and a unix OS process *** is followed by the application of the integrated model to a practical real-time system,mainly alarm processing in power systems.

关键词： net An Integrated Neuro-Expert System Model for Real-Time systems Model

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