| The activities of the AIC are primarily based
on four investigator awards made by Science Foundation Ireland in 2003.
The four research awards cover the following areas:
A further cohesion award was granted to enable
collaboration between the academic partners and industry partners.
Foundations of Ubiquitous
Sensing
Principal Investigator: Professor
Dermot Diamond
Sensor Networks looks at the issue of integrating
sensors into pervasive communication systems as front-end information
gatherers, with the aim of generating true 'context aware' networks
that bridge the digital and molecular worlds. The research strategy
is to address the issues of how to configure chemical sensors and biosensors
that are capable of long term autonomous operation and suitable for
massive scale up in terms of numbers employed.
Content
Extraction from Audio Visual Information
Principal Investigator: Professor
Alan F. Smeaton
Automatic and adaptive extraction of content
from information in video and audio will allow far greater utilisation
of that information than at present. We focus on automatic and semi-automatic
approaches to video object segmentation, tracking and matching based
on objects recognised in the video. Work on audio analysis develops
computer-audition techniques for detecting and localising anomalous
sounds that would be environment-dependent, for the purpose of indexing
and retrieval. To bring these two strands together, adaptive media
retrieval targets the research and development of techniques to support
information retrieval from individual media including video, audio,
text, etc., but also information retrieval across different media.
In particular the work sought to address how to do this by utilising
the user's context as an important parameter in retrieval.
Modelling Collaborative
Reasoners
Principal Investigators: G.M.P.
O’Hare and Professor
Mark Keane
Modelling Collaborative Reasoners will examine distributed
techniques for the management of highly dynamic, large-scale distributed
systems made up of many different computational entities.
Specifically this work seeks to..
- work on problems of collaborative reasoning systems that are fully
scalable and not restricted by arbitrary limits associated with pre-existing
hardware, users scale and complexity;
- To develop a collaborative reasoning infrastructure that is fully
supportive of ambient computing needs;
- To develop a collaborative learning infrastructure that is able
to learn how to communicate, co-operate and indeed compete;
- To develop collaborative reasoning models that
are able to collaboratively and proactively retrieve, analyse. manipulate
, filter and monitor data sources.
Situated Personalization
Principal Investigators: Professor
Barry Smyth
Situated Personalization focuses on the development
of next-generation personalization technologies that are better able
to recognize and respond to the information preferences and needs of
individual users and groups of users.
In particular a unique feature of the proposed
research hinges on the idea that personalization techniques can add
value beyond the virtual world of the Internet, especially as our physical
world becomes more and more instrumented with sensor and display technologies.
This integration between sensor-based input, adaptive personalization
and advanced display technologies provides a unique opportunity to
explore the possibilities of such an augmented physical world.
In short, these developments provide an opportunity
to investigate the concept of situated personalization whereby elements
of our physical world actively sense and intelligently respond to our
implicit and explicit interactions, our learned needs and our routine
behaviours.
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