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O'Grady, Michael J.
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O'Grady, Michael J.
Official Name
O'Grady, Michael J.
Research Output
Now showing 1 - 10 of 72
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Publication
An agent-based domestic electricity consumption advisory system
2010-05-11, O'Hare, G. M. P. (Greg M. P.), Ruzzelli, Antonio G., Tynan, Richard, Dragone, Mauro, Muldoon, Conor, O'Grady, Michael J.
This paper introduces an agent-based domestic electricity consumption advisory system. It reflects upon the diffculties of realizing the ubiquitous sensing vision which underpins such systems. It advocates the need for an effective middleware which will support the evolution of heterogeneous, distributed, collaborative intelligent sensing artifacts. To this end, it introduces the SIXTH Middleware.
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Browsing the Sensor Web : Pervasive Access for Wide-area Wireless Sensor Networks
2012-02-24, Wan, Jie, O'Grady, Michael J., O'Hare, G. M. P. (Greg M. P.), Colakov, Todor
Wireless Sensor Networks (WSNs) are almost exclusively regarded as data gathering entities. Various sensed data elements are captured and routed back to a central server for processing, visualization and interpretation. However, it can be realistically conjectured that scenarios will increasingly emerge that demand a facility for ad-hoc interaction with individual sensor nodes. Moreover, such interaction will occur in the physical environment in close proximity to where the sensor node is physically located. In this paper, the need for in-situ ad-hoc interaction is motivated. A methodology for facilitating such interaction is presented, and the implementation of a sensor browser is described.
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Intelligent agile agents: active enablers for ambient intellgence
2004-04-24, O'Hare, G. M. P. (Greg M. P.), O'Grady, Michael J., Keegan, Stephen, O'Kane, Donal, Tynan, Richard, Marsh, David
This paper advocates the use of mobile intentional
agents as a key enabler in the delivery of ambient
intelligence. Ambient computing as an ideal demands levels
of functional attainment that have hithertofar not been
realised. Ambient applications demand that the computing
application be subsumed into the everyday context in an
unobtrusive manner with interaction modalities such that
they are natural, simple and appropriate to both the
individual user and their associated context.
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Sense and sensibility : collaborative & interdisciplinary problem design in PBL initiatives
2011-08-25, O'Grady, Michael J., Barrett, Gavin, Barrett, Terry, Delaney, Yvonne, Hunt, Nuala, Kador, Thomas, O'Brien, Valerie
This paper was conceived in response to an identified need for new PBL practitioners to be able to access a range of sample problems that would help them develop PBL within their own disciplines, particularly when outside of the life sciences. Likewise, a need for new approaches to problem design was also identified. Taking cognisance that problems should be grounded in the ‘real world’, we need to reconceptualise problem design. It is proposed that conceptualising problems as triggers that stimulate knowledge development by harnessing sensory experiences is a way forward. This paper will be of particular interest to new PBL practitioners, teachers in the various disciplines considering PBL and educational developers teaching PBL.
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Managing diversity in practical ambient assisted living ecosystems
2010-03, O'Grady, Michael J., Walsh, Michael, Tynan, Richard, Gurrin, Cathal, Dragone, Mauro, O'Hare, G. M. P. (Greg M. P.)
Though the motivation for developing ambient assisted living (AAL) systems is incontestable, significant challenges exist in realizing the ambience that is essential to the success of such systems. By definition, an AAL system must be omnipresent, tracking occupant activities in the home and identifying those situations where assistance is needed or would be welcomed. Embedded sensors offer an attractive mechanism for realizing ambience as their form factor and harnessing of wireless technologies aid in their seamless integration into pre-existing environments. However, the heterogeneity of the end-user population, their disparate needs and the differing environments in which they inhabit, all pose particular problems regarding sensor integration and management.
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Realizing the ambient intelligence vision through the deployment of mobile, intentional agents
2004-11-08, O'Hare, G. M. P. (Greg M. P.), Keegan, Stephen, O'Grady, Michael J.
Ambient computing as an ideal demands levels of functional attainment
that have thus far not been realised. Ambient applications require that the
computing application be subsumed into the everyday context in an unobtrusive
manner with interaction modalities that are natural, simple and appropriate to
both the individual user and their associated context. Within this paper, we consider
the use of mobile intentional agents as potential key enablers in the delivery
of ambient intelligent services. In particular, we compare and contrast two
agent-based ambient intelligence case studies
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EDLA tradeoffs for wireless sensor network target tracking
2009-06, Tynan, Richard, O'Hare, G. M. P. (Greg M. P.), O'Grady, Michael J., Muldoon, Conor
The number of active nodes in a WSN deployment
governs both the longevity of the network and the accuracy
of applications using the network’s data. As node hibernation
techniques become more sophistocated, it is important that an
accurate evaluation methodology is employed to ensure fair
comparisons across different techniques. Examining both energy
and accuracy ensures a claim of increased longevity for a
particular technique can be contrasted against its associated
drop, if any, in application accuracy. This change can also be
as a result of increased latency and the accuracy encapsulates
many aspects of WSN performance in one metric. In this work,
we detail the first in a series of simulation experiments designed
to demonstrate the tradeoffs for a WSN and we employ mobility
tracking as the application to benchmark accuracy. Additionally,
we demonstrate experimental evidence for a potential adaptive
mobility tracking protocol.
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DGPS for mobile users: a mobile agent approach
2004-12-08, O'Grady, Michael J., O'Hare, G. M. P. (Greg M. P.)
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PI : perceiver and interpreter of smart home datasets
2011-05-23, Ye, Juan, Stevenson, Graeme, Dobson, Simon, O'Grady, Michael J., O'Hare, G. M. P. (Greg M. P.)
Pervasive healthcare systems facilitate various aspects of research including sensor technology, software technology, artificial intelligence and human-computer interaction. Researchers can often benefit from access to real-world data sets against which to evaluate new approaches and algorithms. Whilst more than a dozen data sets are currently publicly available, their use of heterogeneous mark-up impedes easy and widespread use. We describe PI – the Perceiver and semantic Interpreter – which offers a workbench API for the querying, re-structuring and re-purposing of a range of diverse data formats currently in use. The use of a single API reduces cognitive overload, improves access, and supports integration of generic and domain-specific information within a common framework.
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Intelligent user interfaces for mobile computing
2008, O'Grady, Michael J., O'Hare, G. M. P. (Greg M. P.)
In this chapter, the practical issue of realizing a necessary intelligence quotient for realizing Intelligent User Interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the normal fixed workstation environment that most people are familiar with; and it is in this dynamicity and complexity that the key motivations for realizing IUIs on mobile devices may be found. Thus the chapter initially motivates the need for the deployment of IUIs in mobile contexts by reflecting on the archetypical elements that comprise the average mobile user's situation or context. A number of broad issues pertaining to the deployment of AI techniques on mobile devices are considered before a practical realisation of this objective through the intelligent agent paradigm is presented. It is the authors hope that a mature understanding of the mobile computing usage scenario, augmented with key insights into the practical deployment of AI in mobile scenarios, will aid software engineers and HCI professionals alike in the successful utilisation of intelligent techniques for a new generation of mobile services.