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International Conference on Advanced computing and Communications (ADCOM)

作者： Thamarai Selvi Somasundaram R.A. Balachandar Vijayakumar Kandasamy Rajkumar Buyya Rajagopalan Raman N. Mohanram S. Varun Department of Information Technology Anna University Chennai India Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia Centre for Development of Advanced Computing Chennai India Centre for Development of Advanced Computing Bangalore India

This paper addresses the need of semantic component in the grid environment to discover and describe the grid resources semantically. We propose semantic grid architecture by introducing a knowledge layer at the top of Gridbus broker architecture and thereby enabling broker to discover resources semantically. The semantic component in the knowledge layer enables semantic description of grid resources with the help of ontology template. The ontology template has been created using Protege-OWL editor for different types of computing resources in the grid environment. The Globus Toolkit's MDS is used to gather grid resource information and Protege-OWL libraries are used to dynamically create knowledge base of grid resources. Algernon inference engine is used for interacting with the knowledge base to discover suitable resources.

关键词： Distributed computing Ontologies Middleware computer architecture computer networks Grid computing Libraries Engines Monitoring Aggregates

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Towards a Grid of Sensors for Telemedicine

Towards a Grid of Sensors for Telemedicine

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Annual IEEE Symposium on computer-Based Medical systems

作者： C.O. Rolim F.L. Koch M. Assuncao C.B. Westphall Network and Management Laboratory Federal University of Santa Catarina Florianopolis Santa Catarina Brazil Grid Computing and Distributed Systems Laboratory and NICTA Victoria Laboratory Department of Computer Science and Software Engineering University of Melbourne Melbourne VIC Australia

In this article, we describe a grid of sensors to collect patients' vital data and to allow real time monitoring of patients in heath-care centres. We analyse the problem scenario and identify the components involved towards the construction of an integrated and homogeneous management system. Finally, we present a case study to demonstrate the applicability of our approach

关键词： Telemedicine Grid computing Laboratories Real time systems Sensor systems Patient monitoring computerized monitoring Data security Ontologies computer architecture

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Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks

Search Space Analysis of Recurrent Spiking and Continuous-ti...

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Ventresca B. Ombuki Systems Design Engineering and member of the Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Waterloo ONT Canada Department of Computing and Information Science University of Guelph Guelph ONT Canada Computer Science Department Brock University Saint Catharines ONT Canada

The problem of designing recurrent continuous-time and spiking neural networks is NP-Hard. A common practice is to utilize stochastic searches, such as evolutionary algorithms, to automatically construct acceptable networks. The outcome of the stochastic search is related to its ability to navigate the search space of neural networks and discover those of high quality. In this paper we investigate the search space associated with designing the above recurrent neural networks in order to differentiate which network should be easier to automatically design via a stochastic search. Our investigation utilizes two popular dynamic systems problems; (1) the Henon map and (2) the inverted pendulum as a benchmark.

关键词： Neural networks Recurrent neural networks Stochastic processes Chaotic communication Neurons Biological system modeling evolutionary computation Navigation Helium Visualization

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CNN Wave computing: Theory, Architectures, Implementations and Applicaions

CNN Wave Computing: Theory, Architectures, Implementations a...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Marco Gilli Csaba Rekeczky Bertram Shi Department of Electronics Politecnico di Turino Torino Italy Analogic and Neural Computing Systems Laboratory of the Computer and Automation Information Technology Department Institute of the Hungarian Academy of Sciences Budapest Hungary Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

A cellular neural/nonlinear network (CNN) is any spatial arrangement of mainly locally coupled cells, where each cell is a dynamical system which has an input, an output and a state that evolves according to some prescribed dynamical laws. Since the CNN was first introduced in 1988, research in this field has developed rapidly. The goal of this tutorial is to provide participants with a snapshot of the current state of the art and research trends. It covers the broad multi-disciplinary areas of CNN research, from theoretical aspects to applications. The presenters have experience ranging from theoretical analysis of CNN dynamics, VLSI implementation and system level applications

关键词： Cellular neural networks computer architecture computer networks Very large scale integration Analog computers computer interfaces computer vision Biological system modeling Nonlinear dynamical systems computer industry

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A Semi-Reversible Watermark for Medical Image Authentication

A Semi-Reversible Watermark for Medical Image Authentication

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Conference on Distributed Diagnosis and Home Healthcare D2H2 Transdisciplinary

作者： F. Ahmed I.S. Moskowitz Department of Electrical Engineering & Computer Science Catholic University of America Washington D.C. DC USA High Assurance Computing Systems Naval Research Laboratory Inc. Washington D.C. DC USA

This paper addresses the secure storage and transmission of medical informatics in rapidly growing applications such as teleradiology and telesurgery. In particular, we propose a frequency domain digital watermarking technique that can be used to authenticate medical images in a distributed diagnosis and home healthcare environment. The most significant result of our method is the semi-reversibility property that undoes most of the degradation attributable to the watermarking process

关键词： Watermarking Biomedical imaging Authentication Biomedical informatics Medical diagnostic imaging Information security Medical services Degradation Protection Frequency domain analysis

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A taxonomy of workflow management systems for Grid computing

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Journal of Grid computing 2005年第3-4期3卷 171-200页

作者： Yu, Jia Buyya, Rajkumar Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering The University of Melbourne Melbourne Vic. Australia

With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such application scenarios require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. We also survey several representative Grid workflow systems developed by various projects world-wide to demonstrate the comprehensiveness of the taxonomy. The taxonomy not only highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research. © Springer science+Business Media, Inc. 2006.

关键词： Grid computing Resource management Scheduling Taxonomy Workflow management

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Speeding up fractal image compression by genetic algorithms

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MULTIDIMENSIONAL systems AND SIGNAL PROCESSING 2005年第2期16卷 217-236页

作者： Mohamed, F Aoued, B Department of Computer Science Evolutionary Engineering and Distributed Information Systems Laboratory EEDIS University of Sidi Bel-Abbès Algeria Department of Electronics Communications Networks Architectures and Multimedia Laboratory University of Sidi Bel Abbès Algeria

The main problem with all fractal compression implementation is execution time. Algorithms can spend hours to compress a single image. Most of the major variants of the standard algorithm for speeding up computation time have led to a bad-quality or a lower compression ratio. For example, the Fisher's [ 7] proposed classification pattern greatly accelerated the algorithm, but image quality was poor due to the search-space reduction imposed by the classification, which eleminates a lot of good solutions. By using genetic algorithms to address the problem, we optimize the domain blocks search. We explore all domain blocks present in the image but not in exhaustive way ( like a standard algorithm) and without omitting any possible block (solution) as a classification pattern does. A genetic algorithm is the unique method for satisfying these constraints. And it is a way to do be a random search because the genetic one is directed by fitness selection, which produces optimal solutions. Our goal in this work is to use a genetic algorithm to solve the IFS inverse problem and to build a fractal compression algorithm based on the genetic optimization of a domain blocks search. we have also implemented standard Barnsley algorithm, the Y. Fisher based on classification, and the genetic compression algorithm with quadtree partitioning. A population of transformations was evolved for each range block, and the result is compared with the standard Barnsely algorithm and the Fisher algorithm = based classification. We deduced an optimal set of values for the best parameters combination, and we can also specify the best combination for each desired criteria: best compression ratio, best image quality, or quick compression process. By running many test images, we experimentally found the following set of optimal values of all the algorithm parameters that ensure compromise between execution time and solutions optimality: Population size = 100, Maximum generations = 20, Crossover rat

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Learning classifier systems for user context learning

Learning classifier systems for user context learning

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Congress on evolutionary Computation

作者： A. Shankar S. Louis Evolutionary Computing Systems Laboratory Department of Computer Science and Engineering University of Nevada Reno USA

Current computer applications and user interfaces lack user context and are not successful in learning user preferences to improve user interaction. We present Sycophant, a context learning calendaring application program which is designed to learn a mapping from user-related contextual features to reminder actions. In this paper, we consider the feasibility of using a genetics-based machine learning technique, XCS, for the purpose of learning this mapping from a set of context features to reminder actions as a predictive data-mining task. We compare XCS's performance with a decision tree algorithm on this learning task and show that XCS outperforms the decision tree learner.

关键词： Application software Machine learning computer applications Decision trees computer interfaces Laboratories computer science Keyboards Mice Speech

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The grid economy

The grid economy

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作者： Buyya, Rajkumar Abramson, David Venugopal, Srikumar Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Vic. 3010 Australia School of Computer Science and Software Engineering Monash University Vic. 3163 Australia

This paper identifies challenges in managing resources in a Grid computing environment and proposes computational economy as a metaphor for effective management of resources and application scheduling. It identifies distributed resource management challenges and requirements of economy-based Grid systems, and discusses various representative economy-based systems, both historical and emerging, for cooperative and competitive trading of resources such as CPU cycles, storage, and network bandwidth. It presents an extensible, service-oriented Grid architecture driven by Grid economy and an approach for its realization by leveraging various existing Grid technologies. It also presents commodity and auction models for resource allocation. The use of commodity economy model for resource management and application scheduling in both computational and data grids is also presented. © 2005 IEEE.

关键词： Computational methods

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An integration of Global and Enterprise Grid computing: Gridbus Broker and Xgrid perspective

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4th International Conference on Grid and Cooperative computing - GCC 2005

作者： De Assunção, Marcos Dias Nadiminti, Krishna Venugopal, Srikumar Ma, Tianchi Buyya, Rajkumar Grid Computing and Distributed Systems Laboratory Australia Department of Computer Science and Software Engineering University of Melbourne Parkville Campus Melbourne Vic. 3010 Australia

ISBN: (纸本)3540305106

In this work, we present two perspectives of Grid computing by using two different Grid middleware as examples: an Enterprise Grid using Xgrid and a Global Grid with Gridbus. We also present the integration of Enterprise and Global Grids by proposing the integration of Gridbus Broker with diverse enterprise Grid middleware including Xgrid, PBS, Condor and SGE. The sample performance results demonstrate the usefulness of this integration effort. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Distributed computer systems

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