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Algorithmic-Parameter optimization of a parallelized split-step fourier transform using a modified BSP cost model 04

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Proceedings of the Second international conference on Parallel and Distributed Processing and Applications

作者： Elankovan Sundararajan Malin Premaratne Shanika Karunasekera Aaron Harwood Department of Computer Science and Software Engineering The University of Melbourne Carlton Victoria Australia Advanced Computing and Simulation Laboratory Department for Electrical and Computer System Engineering Monash University Clayton Victoria Australia

ISBN: (纸本)9783540241287

Adaptive algorithms are increasingly acknowledged in leading parallel and distributed research. In the past, algorithms were manually tuned to be executed efficiently on a particular architecture. However, interest has shifted towards algorithms that can adapt themselves to the computational resources. A cost model representing the behavior of the system (i.e. system parameters) and the algorithm (i.e algorithm parameters) plays an important role in adaptive parallel algorithms. In this paper, we contribute a computational model based on Bulk Synchronous Parallel processing that predicts performance of a parallelized split-step Fourier transform. We extracted the system parameters of a cluster (upon which our algorithm was executed) and showed the use of an algorithmic parameter in the model that exhibits optimal behavior. Our model can thus be used for the purpose of self-adaption.

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Algorithmic-parameter optimization of a parallelized split-step Fourier transform using a modified BSP cost model

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3358卷 233-244页

作者： Sundararajan, Elankovan Premaratne, Malin Karunasekera, Shanika Harwood, Aaron Department of Computer Science and Software Engineering University of Melbourne ICT Building 111 Barry Street Carlton Vic. 3053 Australia Advanced Computing and Simulation Laboratory Department for Electrical and Computer System Engineering Monash University Clayton Vic. 3800 Australia

关键词： Adaptive algorithms

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Design of distributed energy systems based on probabilistic analysis

Design of distributed energy systems based on probabilistic ...

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International Conference on Probabilistic Methods Applied to Power systems (PMAPS)

作者： G. Papaefthymiou A. Tsanakas P.H. Schavemaker L. van der Sluis Electrical Power System Laboratory EPS Faculty of Electrical Engineering Mathematics & Computer Science Delft University of Technnology Delft Netherlands Center for Quantitative Finance Imperial College London London UK

In this paper a design methodology of 'distributed' energy systems is presented. These are defined as energy systems with unregulated distributed generators connected to the lower voltage levels. The cornerstone in their design is the steady-state analysis of distribution systems under uncertainty in energy in energy generation and consumption. Based on this definition, the structure of a system-design tool is proposed. The system is described by the steady-state model, while all different types of distributed generators (dispatchable or nondispatchable technology concepts) are treated in a unifying manner through probabilistic modelling. The modelling of the interdependence between the random input variables is treated by introducing the concepts of comonotonicity, countermonotonicity and independence between distributed generations and distributed consumptions as stochastic bounds describing extreme statistical dependence between the input random variables.

关键词： Power generation Distributed control Power systems Load flow analysis Power system reliability Design methodology Voltage Steady-state Random variables Risk analysis

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Solving interoperability problems on a federation of software process systems

Solving interoperability problems on a federation of softwar...

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ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information systems

作者： Ahmed-Nacer, Mohamed Mostefai, Med-Amine Computer Science Department Faculty of Electrical Engineering Univ. Sci./Technol. Houari B. BP 32 El-Alia 16123 Bab-Ezzouar Algeria Software Laboratory Ctr. of Res. in Sci. and Tech. Info. 03 frère Aissou Ben Aknoun 16030 Algiers Algeria

ISBN: (纸本)9728865007

software process components that share information and that cooperate for common tasks lead to multiple problems of interoperability. Some based-interoperability approaches have been proposed. However, more problems remain to be solved to enable the heterogeneous process components interoperability at execution level. This paper presents a process-based approach (architecture) for the federation of software process systems. Based on this approach, we focus on its implementation problems for the process execution interoperability. We show how we solve these problems and we discuss their implementation through the main development techniques of distributed applications.

关键词： software engineering

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Architecture of the virtual training system for buoyancy control 03

Architecture of the virtual training system for buoyancy con...

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9th EUROGRAPHICS Workshop on Virtual Environments, EGVE 2003

作者： Korošec, Dean Slavinec, Mitja Bernad, Dani Kolarič, Primož Prnaver, Katja University of Maribor Faculty of Electrical Engineering and Computer Science System Software Laboratory Slovenia University of Maribor Faculty of Education Department of Physics Slovenia Regional Development Agency Mura Murska Sobota Slovenia

ISBN: (纸本)1581136862

In this paper we present the structure of the simulator which would allow diving beginners to experience the effect of buoyancy control mechanisms before actually entering the *** believe such training would be less stressful and safer for all participants, but it should also reduce the time in water needed to manage basic practical diving skills. Central design requirements for the system were: realistic modelling of diving physics, various options of man-machine interface and possibility of immersion. With future studies we plan to clarify to what extent the immersive VR interfaces are able to further improve the diving training experience. © 2003 The Eurographics Association.

关键词： E-learning

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A journey trough clinical applications of multimethod decision trees

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9th Conference on Artificial Intelligence on in Medicine in Europe, AIME 2003

作者： Povalej, Petra Lenič, Mitja Štiglic, Milojka Molan Kavalar, Maja Skerbinjek Završnik, Jernej Kokol, Peter Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor SI-2000 Maribor Slovenia Adolf Drolc Health Centre SI-2000 Maribor Slovenia Department of Paediatric Surgery Maribor Teaching Hospital SI-2000 Maribor Slovenia

ISBN: (纸本)3540201297

We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prolapse. The results show that the multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enables the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Decision trees

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Multimethod machine learning approach for medical diagnosing

Multimethod machine learning approach for medical diagnosing

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： M. Lenic P. Povalej M. Zorman V. Podgorelec P. Kokol L. Lhotska Laboratory for system design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Gerstner Lab Faculty of Electrical Engineering Czech Technical University Czech Republic

In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden death. MultiVeDec is a general framework enabling researchers to generate various intelligent tools based on machine learning. In this paper we focused on various decision tree methods, which are capable of extracting knowledge in a form closer to human perception, a feature that is very important in medical field. The experiment included classifiers with various classical single method approaches, evolutionary approaches, hybrid approaches and also our newest multimethod approach. The main concern of the latest approach is to rind a way to enable dynamic combination of methodologies to the somehow quasi unified knowledge representation. The proposed multimethod approach was capable to outperform all other tested approaches by producing classifier for diagnosing mitral valve prolapse with the highest overall and average class accuracy.

关键词： Machine learning Medical diagnosis Valves Decision trees Medical diagnostic imaging Humans Knowledge representation Classification tree analysis Blood flow Laboratories

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Intelligent data analysis of human bone density

Intelligent data analysis of human bone density

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Annual IEEE Symposium on computer-Based Medical systems

作者： P. Povalej M. Lenic M. Zorman P. Kokol M.G.E. Peterson J.M. Lane Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Hospital for Special Surgery New York NY USA

In this paper we present the results of an intelligent analysis of osteoporosis database gathered during a longitudinal study in which a random sample of 100 women who had passed precautionary examinations for detection of osteoporosis over five years and were not referred for a definite medical diagnosis was pulled from the records. The intelligent data analysis using advanced methods for decision tree construction was used in order to try to find the main factors that can reduce the risk for development of osteoporosis in women. Most of the extracted knowledge confirmed known medical criteria that put women to risk for osteoporosis, however some new interesting patterns have also been shown.

关键词： Data analysis Humans Osteoporosis Medical diagnostic imaging Bones Decision trees Minerals Databases Medical diagnosis Decision making

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Intelligent platform for automatic medical knowledge acquisition: detection and understanding of neural dysfunctions

Intelligent platform for automatic medical knowledge acquisi...

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Annual IEEE Symposium on computer-Based Medical systems

作者： M. Zorman P. Kokol M. Lenic P. Povalej B. Stiglic D. Flisar Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Centre for interdisciplinary and multidisciplinary research and studies CIMRS Maribor Slovenia

The use of intelligent systems and machine learning methods, capable of automatic decision making based on already solved cases, and data mining, are getting more and more popular. Here we are faced not only with technical problems, but also with limited confidence in machine learning techniques. In some cases methods that may explicitly show the deduction process are not powerful enough. One of the possibilities is to modify/improve the methods so that the users could easily follow the process of decision making. To solve this problem, a few years ago we started to develop a platform, which enables us to develop, test and use different kinds of hybrid methods. These are meant to combine the advantages of the integrated methods-e.g., power and knowledge representation-that contribute to the quality of the acquired knowledge. In this paper we present a way of using the developed platform in order to obtain new knowledge, based on results from neurophysiological measurements We are every pleased with the performance of our intelligent platform. The first results we obtained already show some improvement in comparison to classic machine learning approaches.

关键词： Knowledge acquisition Electroencephalography Learning systems Decision making Intelligent systems Machine learning Data mining Testing Knowledge representation Nervous system

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Analysing heart attack survival using intelligent systems

Analysing heart attack survival using intelligent systems

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computers in Cardiology (CinC)

作者： P. Kokol P. Povalej Z. Pehnec Laboratory for System Design and Centre for Interdisciplinary and Multidisciplinary Research and Studies Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Critical Care Unit General Hospital of Maribor Maribor Slovenia

A successful application of a new intelligent system design approach called Multimethod in knowledge extraction and discovery in heart attack areas is presented in this paper. The results show that the Multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enabling the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge.

关键词： Cardiac arrest Intelligent systems Medical diagnostic imaging Decision trees Neural networks Data analysis Learning systems Machine learning computer science Hospitals

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