We investigate and compare a few parallel preconditioning techniques in the iterative solution of large sparse linear systems arising from solid Earth simulation with and without using contact information in the domai...
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We investigate and compare a few parallel preconditioning techniques in the iterative solution of large sparse linear systems arising from solid Earth simulation with and without using contact information in the domain partitioning process. Previous studies are focused on using static or matrix pattern based incomplete LU (ILU) preconditioners in a localized preconditioner implementation. Our current studies are concerned with preconditioner performance for solving two different cases with and without known contact information. For the cases with contact information, we use localized threshold value based incomplete LU (ILUT) preconditioner to improve efficiency. For the cases without contact information, we use a global sparse approximate inverse preconditioner with a static sparsity pattern to achieve robustness. Numerical results from simulating ground motion on a parallel supercomputer are given to compare the effectiveness of these parallel preconditioning techniques.
The paradigm of design for biosystem-on-a-chip (BioSoC), is that multidisciplinary skills are required. Thus, the educational goals are to develop an understanding of micro/macro collaboration along with the ability t...
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The paradigm of design for biosystem-on-a-chip (BioSoC), is that multidisciplinary skills are required. Thus, the educational goals are to develop an understanding of micro/macro collaboration along with the ability to apply and use multidisciplinary skills for the design and performance evaluation of a "biosystem on a chip". The need for the architectural design of the BioSoC addresses the next-generation of intelligent information processing systems.
We present a mechanism called the Markov model mediator (MMM) to facilitate the effective retrieval for content-based image retrieval (CBIR). Different from the common methods in content-based image retrieval, our sto...
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We present a mechanism called the Markov model mediator (MMM) to facilitate the effective retrieval for content-based image retrieval (CBIR). Different from the common methods in content-based image retrieval, our stochastic mechanism not only takes into consideration the low-level image content features, but also learns high-level concepts from a set of training data, such as access frequencies and access patterns of the images. The advantage of our proposed mechanism is that it exploits the structured description of visual contents as well as the relative affinity measurements among the images. Consequently, it provides the capability to bridge the gap between the low-level features and high-level concepts. Our experimental results demonstrate that the MMM mechanism can effectively assist in retrieving more accurate results for user queries.
The mission system of an aircraft is a complex real-time distributed system consisting of a mission control computer, different kinds of devices interconnected by a number of serial data buses. The complexity and real...
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The mission system of an aircraft is a complex real-time distributed system consisting of a mission control computer, different kinds of devices interconnected by a number of serial data buses. The complexity and real-time requirements of mission systems have motivated research into the application of formal techniques to investigate and predict the effects of upgrades on mission system behaviour. We report on a joint research project between the University of South Australia and Australia's Defence Science and technology Organisation. In previous work we modelled a generic avionics mission system with coloured Petri nets and analysed the model using state spaces. Here, we describe how this model was refined and modified to obtain a coloured Petri net model for the AP-3C Orion maritime surveillance aircraft.
Since knowledge management becomes an important issue, knowledge management system (KMS) plays a crucial role to enhance the performance of knowledge management. It is a difficult work to build a KMS from scratch. In ...
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ISBN:
(纸本)0780382420
Since knowledge management becomes an important issue, knowledge management system (KMS) plays a crucial role to enhance the performance of knowledge management. It is a difficult work to build a KMS from scratch. In order to facilitate KMS reusability, we propose a scheme based on XML binding technology which can automatically generate the knowledge management components so that one may reengineer the system to accommodate with different requirements of other domains.
In recent years, there has been increased interest in using data mining techniques to extract temporal rules from temporal sequences. Local temporal rules, which only a subsequence exhibits, are actually very common i...
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Combining boosting and Support Vector Machine (SVM) is proved to be beneficial, but it is too complex to be feasible. This paper introduces an efficient way to boost SVM. It embraces the idea of active learning to dyn...
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In this paper, we introduce a new method to improve the performance of combining boosting and naive Bayesian. Instead of combining boosting and Naive Bayesian learning directly, which was proved to be unsatisfactory t...
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The periodic structure modeling technique is employed to investigate the transmission line characteristic of the stripline with adjacent metal-filled via-array (SAMVA). The unit-cell modeling (UCM) using the finite-di...
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