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Nixon, Paddy
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Nixon, Paddy
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Nixon, Paddy
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Now showing 1 - 5 of 5
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Publication
Adaptive management of shared resource pools with decentralized optimization and epidemics
2010-02-19, Loureiro, Emerson, Nixon, Paddy, Dobson, Simon
Shared resource pools are facilities featuring a certain amount of resources which can be used by different applications. For managing resources in such pools, the demand of each application can be used. Such a demand, however, is driven by the workload, which varies over time. For that reason, adaptive approaches have been proposed for the management of shared resources pools. Whereas a number of solutions exist in this context, they are either not truly decentralized or do not apply to the problem we are dealing with. In this paper, we then present Darma, an approach for managing shared resource pools in a truly decentralized, adaptive, and optimal way.
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Using situation lattices in sensor analysis
2009, Ye, Juan, Coyle, Lorcan, Dobson, Simon, Nixon, Paddy
Highly sensorised systems present two parallel challenges: how to design a sensor suite that can efficiently and cost-effectively support the needs of given services; and to extract the semantically relevant interpretations, or “situations”, from the flood of context data collected by the sensors. We describe mathematical structures called situation lattices that can be used to address these two problems simultaneously, allowing designers to both design and refine situation identification whilst offering insights into the design of sensor suites. We validate the accuracy and efficiency of our technique against a third-party data set and demonstrate how it can be used to evaluate sensor suite designs.
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Sticking with a Winning Team: Better Neighbour Selection for Conversational Collaborative Recommendation
2007-08, Rafter, Rachael, Coyle, Lorcan, Nixon, Paddy, Smyth, Barry
Conversational recommender systems have recently emerged
as useful alternative strategies to their single-shot counterpart, especially
given their ability to expose a user’s current preferences. These systems
use conversational feedback to hone in on the most suitable item for
recommendation by improving the mechanism that finds useful collaborators.
We propose a novel architecture for performing recommendation
that incorporates information about the individual performance of
neighbours during a recommendation session, into the neighbour retrieval
mechanism. We present our architecture and a set of preliminary evaluation
results that suggest there is some merit to our approach.We examine
these results and discuss what they mean for future research.
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Publication
Ontonym : a collection of upper ontologies for developing pervasive systems
2009-04, Stevenson, Graeme, Knox, Stephen, Dobson, Simon, Nixon, Paddy
Pervasive systems present the need to interpret large quantities of data from many sources. Context models support developers working with such data by providing a shared representation of the environment on which to base this interpretation.
This paper presents a set of requirements for a context model that addresses uncertainty, provenance, sensing and temporal properties of context. Based on these requirements,
we describe Ontonym, a set of ontologies that
represent core concepts in pervasive computing. We propose a framework for evaluating ontologies in the pervasive computing domain by combining recognised techniques from the literature, and present a preliminary evaluation of Ontonym
using these criteria.
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Publication
A virtual rehabilitation system for wobble board balance training with children
2008-08, Fitzgerald, Diarmaid, Trakarnratanakul, Nanthana, Conroy, Luke, Nixon, Paddy, Caulfield, Brian
Virtual reality-based computer games may be a
useful way to develop motor skills and increase activity levels in
children. We have developed an interactive computer platform
where users must tilt a wobble board to complete on-screen
computer game tasks. We have conducted a pilot study with 81
school children who played the game and used a questionnaire
to gather information on children’s enjoyment levels and
perceptions of the system. Findings showed a high level of
enjoyment with the game and provided useful information for
future research and development.