Research Proposal Abstracts SFI Research Frontiers Programme

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21 Νοε 2013 (πριν από 3 χρόνια και 9 μήνες)

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Research Proposal Abstracts


SFI Research Frontiers Programme


Prof. Stuart Hampshire

Research Frontiers

05/RFP/CHE0091

Website:
http://www.ul.ie/~mst/

Title:

Effects of Nitrogen on Properties and Crystallisation of

Novel M
-
SiAlPON
Glasses and their Potential as Optical Devices or Biomedical Materials
.

Abstract:

The overall aim is to synthesise novel glasses in M
-
Si
-
P
-
O
-
N or M
-
Si
-
Al
-
P
-
O
-
N
systems (where M=Ca or various Lanthanide cations), to study the effects of
com
position, particularly N and P content, on glass stability and properties and to
investigate controlled heat treatment (nucleation and crystallisation) to form glass
ceramics containing: (1) phosphide phases (“quantum dots”), (2) apatite structures
contain
ing PO4 or PO2N2. The glasses and glass ceramics will be characterised using
FTIR and Raman spectroscopy. The project will determine if selected glasses can be
drawn into fibres for potential application in new optical devices and also assess the
optical c
haracteristics of the crystallised glass
-
ceramics containing “quantum dots”
phases and the biocompatibility


of apatite glass
-
ceramics for use in potential
biomedical applications.


Dr Thomas Newe

Research Frontiers

05/RFP/CMS0071

Webpage:

http://www.ece.ul.ie/homepage/tom_newe/T
-
Newe
-
Home.html

Title:

(WSN
-
SPDV) Wireless Sensor Networks


Security Protocol Design and
Verification

Abstract:

Wireless sensor networks pose
unique challenges with regards to unit power
consumption, heat transfer ad overall size, so the security protocols used for sensor
data protection must be efficient, resource friendly and fast. Formal verification is the
process used to enable trust and se
curity issues to be verified in relation to security
protocol design for the information communications sector.

The research programme proposed here combines these topics and is concerned with
the design and formal testing/verification of cryptographic bas
ed security protocols
suitable for use with wireless sensor systems to perform tasks such as: key transport
and node authentication.


Dr. Niall Griffith

Research Frontiers

05/RFP/CMS0055

Webpage:
http://www.csis.ul.ie/staff/NiallGriffith/Default.htm

Title:

Synthesising Consistent
Instrument and Voice Sounds Using Physically
Informed Spectral Models and Evolutionary Learning

Abstract:

This project will research a new approach to synthesisi
ng musical instrument sounds.
The aim is to create physically informed spectral models. This will be based on a
combination of boundary conditions and empirical observations of the spectral and
residual components of sounds, as these reflect sound design,
using more accessible,
meaningful high
-
level descriptions. Synthesis is currently controlled through low
level parameter manipulation, which is difficult and time consuming to learn. The
synthesised sounds will be evaluated using perceptually based measure
s of sound
quality and optimised using machine (evolutionary) learning models. This research
will improve synthetic sound quality, particularly its consistency over the pitch range
of instruments. This will benefit developers of media systems and listeners
.



Dr. Martin Hayes

Research Frontiers

05/RFP/CMS0048

Webpage:
http://www.ul.ie/~informat/personnelsingle.php?area=ece&type=acad&select=157

Title:
Robust Power C
ontrol with Guaranteed Quality of Service for Wireless
Networks: New Tools for Certifiable Performance Delivery

Abstract:

This project generates rigorous models and limit of performance type analysis metrics
so that certifiable levels of both Power Control

and Quality of Service (QoS) in
energy sensitive as hoc broadband wireless sensor networks can be achieved. Multi
-
node power control will be regulated using novel anti
-
windup techniques that
explicitly optimise power loss, packet buffer size and throughpu
t. The controlled
variables considered will include routing strategies and the duty cycle that sets the
time spent in sleep mode for a particular node.

Layered parameter based models will be validated using primary source data collected
by equipment locate
d within the state of the art SFI National Communications
Network Research Centre (NCNRC) wireless laboratory based at UL. Robust model
identification will enable the application of structured robustness analysis metrics,
developed by the PI for the aerosp
ace sector, to the emerging area of broadband
wireless technology for the first time.