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1. Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

Author

Yerima, Suleiman Y., Parr, Gerard P., McClean, Sally I., and Morrow, Philip J.

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Artificial Intelligence
Abstract

Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end resource and QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions to integrate and co-ordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-Based Network Management (PBNM) is one approach that could be employed to address this challenge. Hence, a policy-based framework for end-to-end QoS management in converged networks, CNQF (Converged Networks QoS Management Framework) has been proposed within our project. In this paper, the CNQF architecture, a Java implementation of its prototype and experimental validation of key elements are discussed. We then present a fuzzy-based CNQF resource management approach and study the performance of our implementation with real traffic flows on an experimental testbed. The results demonstrate the efficacy of our resource-adaptive approach for practical PBNM systems., Comment: 26 pages, 17 figures

Published
2013
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4. Breast Density Classification using Local Septenary Patterns: A Multi-resolution and Multi-Topology Approach

Author

Rampun, Andrik, Scotney, Bryan W., Morrow, Philip J., and Wang, Hui

Subjects
Computer Aided Diagnosis, Local Ternary Patterns, Breast Density Classification, Local Septernary Patterns, Local Binary Patterns, Mammography
Abstract

We present an extension of our previous work in [1] by investigating the use of Local Septenary Patterns (LSP) for breast density classification in mammograms. The LSP operator is a variant of Local Binary Patterns (LBP) inspired by Local Ternary Patterns (LTP) and Local Quinary patterns (LQP). The main extensions in our work are i) we investigate the use of a multi-resolution technique when extracting micro texture information, ii) we investigate different neighbourhood topologies as different ways of extracting texture features, and iii) we use an additional dataset called InBreast as well as the most popular dataset in the literature, which is the Mammographic Image Analysis Society (MIAS) to further evaluate the performance of the LSP operator.

Published
2019
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5. Dynamic iris biometry: a technique for enhanced identification

Author

McDowell Douglas R, Morrow Philip J, Scotney Bryan W, Rankin Deborah M, and Pierscionek Barbara K

Subjects
Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
Abstract

Abstract Background The iris as a unique identifier is predicated on the assumption that the iris image does not alter. This does not consider the fact that the iris changes in response to certain external factors including medication, disease, surgery as well as longer term ageing changes. It is also part of a dynamic optical system that alters with light level and focussing distance. A means of distinguishing the features that do not alter over time from those that do is needed. This paper applies iris recognition algorithms to a newly acquired database of 186 iris images from four subjects. These images have greater magnification and detail than iris images in existing databases. Iris segmentation methods are tested on the database. A new technique that enhances segmentation is presented and compared to two existing methods. These are also applied to test the effects of pupil dilation in the identification process. Findings Segmentation results from all the images showed that using the proposed algorithm accurately detected pupil boundaries for 96.2% respectively of the images, which was an increase of 88.7% over the most commonly used algorithm. For the images collected, the proposed technique also showed significant improvement in detection of the limbal boundary compared to the detection rates using existing methods. With regard to boundary displacement errors, only slight errors were found with the proposed technique compared to extreme errors made when existing techniques were applied. As the pupil becomes more dilated, the success of identification is increasingly more dependent on the decision criterion used. Conclusions The enhanced segmentation technique described in this paper performs with greater accuracy than existing methods for the higher quality images collected in this study. Implementation of the proposed segmentation enhancement significantly improves pupil boundary detection and therefore overall iris segmentation. Pupil dilation is an important aspect of iris identification; with increasing dilation, there is a greater risk of identification failure. Choice of decision criterion for identification should be carefully reviewed. It needs to be recognised that differences in the quality of images in different databases may result in variations in the performance of iris recognition algorithms.

Published
2010
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8. Expressing and Configuring Quality of Data in Multi-purpose Wireless Sensor Networks

Author

Wouter Joosen, Danny Hughes, Sam Michiels, Pedro Javier del Cid, Parr, Gerard, and Morrow, Philip J

Subjects
Wi-Fi array, business.industry, Wireless network, Computer science, Distributed computing, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, adaptive, Key distribution in wireless sensor networks, middleware, Middleware, Mobile wireless sensor network, resource management, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, Resource management, Radio resource management, wireless sensor networks, business, Wireless sensor network, Computer network
Abstract

WSNs are evolving towards interconnected, sensing, processing and actuating infrastructures that are expected to provide services for multiple concurrent clients. In a multi-purpose WSN, concurrently running applications share network resources and each may have varying Quality of Data (QoD) requirements. Our middleware targets these multi-purpose WSN deployments. Specifically this paper discusses how one should express and configure QoD properties for multi-purpose WSNs. We contribute by preseting our approach; which leverages per-instance QoD configuration and a separation of operational concerns to achieve simpler configuration and improve reconfigure-ability and customize-ability of the WSN. A prototype implementation and comparison to the related state of the art in WSNs are provided. ispartof: pages:91-106 ispartof: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering vol:57 pages:91-106 ispartof: The International ICST conference on Sensor Systems and Software location:miami, USA status: published

Published
2011
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9. Policy-driven tailoring of sensor networks

Author

Sam Michiels, Danny Hughes, Christophe Huygens, Nelson Matthys, Jó Ueyama, Wouter Joosen, Parr, Gerard, and Morrow, Philip J

Subjects
Engineering, business.industry, Programming paradigm, Systems engineering, Control reconfiguration, Context (language use), Computer security, computer.software_genre, business, Adaptation (computer science), computer, Wireless sensor network, Personalization
Abstract

The emerging reality of wireless sensor networks deployed as long-lived infrastructure mandates an approach to tailor developed artefacts at run-time to avoid costly reprogramming. Support for dynamic concerns, such as adaptation, calibration or tuning of the functional and non-functional behaviour by application users and infrastructure managers raises the need for fine-grained run-time customization. This paper presents a policy-based paradigm to realize the diverse concerns of the involved actors by enabling fine-tuning and optimization of the run-time environment. Integration of the policy paradigm into various main programming models is analyzed. A prototype implementation of the paradigm in the context of an event-component based wireless sensor network platform is evaluated on the SunSPOT sensor platform. © 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering. ispartof: pages:20-35 ispartof: Sensor Systems and Software, Revised Selected Papers. LNICST vol:51 pages:20-35 ispartof: S-CUBE location:Miami, FL date:13 Dec - 14 Dec 2010 status: published

Published
2010

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