Professional Issues in softwareengineering (PISE) has been taught as part of the computersystems undergraduate degree programme at the University of Limerick using a multi-institutional collaborative pedagogy. PISE ...
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Many web sites have features that are only accessible after registering a user account on them. These sites include forums, on-line games, corporate Intranets and many on-line shops. The sites are typically secured th...
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Self-organizing emergent systems, also referred to as Decentralized Autonomic Computing systems, are commonly known for their scalability, robustness, flexibility, and adaptivity rather than their efficiency. However,...
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This paper presents a Gaussian mixture probability hypothesis density (GM-PHD) smoother for tracking multiple maneuvering targets that follow jump Markov models. Unlike the generalization of the multiple model GM-PHD ...
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This paper presents a Gaussian mixture probability hypothesis density (GM-PHD) smoother for tracking multiple maneuvering targets that follow jump Markov models. Unlike the generalization of the multiple model GM-PHD filters, our aim is to approximate the dynamics of the linear Gaussian jump Markov system (LGJMS) by a best-fitting Gaussian (BFG) distribution so that the GM-PHD smoother can be carried out with respect to an approximated linear Gaussian system. Our approach is inspired by the recognition that the BFG approximation provides an accurate performance measure for the LGJMS. Furthermore, the multiple model estimation is avoided and less computational cost is required. The effectiveness of the proposed smoother is verified with a numerical simulation.
In this paper, an adaptive iterative learning control (ILC) scheme is proposed for trajectory tracking of uncertain delay systems based on model matching technique. The reference model is a delay system operating over...
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In this paper, an adaptive iterative learning control (ILC) scheme is proposed for trajectory tracking of uncertain delay systems based on model matching technique. The reference model is a delay system operating over in a finite time interval. An iterative model matching controller is designed and an iteration domain adaptive law is chosen to estimate the unknown parameters. It shows that the model matching technique can be applied in a straightforward method to ILC problem. A simulation example is included to illustrate the designed scheme.
In order to select a small subset of informative genes from gene expression data for cancer classification, recently, many researchers are analyzing gene expression data using various computational intelligence method...
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Microarrays technology offers the ability to measure the expression levels of thousands of genes simultaneously in biological organisms. Gene expression data that produced by the technology are expected to be of signi...
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In this research, we have extended the use of Kernel Dimensionality Reduction (KDR) in the context of semi supervised learning in particular for micro-array DNA clustering application. We have proposed a new model cal...
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作者:
Noll, JohnLiu, Wei-MingLero
the Irish Software Engineering Centre Department of Computer Science and Information Systems University of Limerick Limerick Ireland Computer Science Department
University of Southern California University Park CA United States
A growing body of empirical research has examined large, successful open source software projects such as the Linux kernel, Apache web server, and Mozilla web browser. Do these results extend to small open source effo...
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In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various project...
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