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e-Water
e-Water: A
Collaborative ICT Framework for Water Resource Management in Australia
and China (Y. Zhang, X. Zhou, R. Kotagiri, M.
Orlowska, X. Lin, Q. Zhu, E. Abal, M. Li, M. Palaniswami and A. Tsoi)
This project develops a framework for analysis and development of
management policies for sustainable management of water resources in
both Australia and China. The benefits of such collaboration would
include integration and sharing of data collected, capacity building
leading to standardisation of data protocols, application of models
developed for a particular region to other regions, and ability to 'tap'
into each other's unique expertise and experience in managing regions
with different characteristics. The challenging issues involve semantic
and heterogeneous data integration, metadata extraction and schema
transformation, modelling and model interoperability in water management
domain as well as accessibility and security.
e-Law
Peer-to-Peer
collaborative research network for sharing and managing digital legal
information (supported by ARC E-Research Project, Y. Zhang, H. Shi, E. Beal,
N. Moustakas)
The aim of this project is to develop a collaborative research network
using P2P technology to allow research across multiple disciplines for
an open exchange of information. Current P2P technology only supports
general information sharing. This research will investigate how to use
P2P technology to incorporate digital rights management and network
authentication, and to facilitate existing open access initiatives,
traditional scholarly publishing models and emerging research practices.
The collaborations between IT and legal industry will be established and
expanded significantly in the scope of e-research for sharing legal
resources. A P2P prototype will be developed to facilitate legal users
and applications.
On Line Dispute Resolution
(J. Zeleznikow and E. Bellucci )
This project is being conducted in
conjunction with international collaborators and industry partners to
develop an Online Dispute Resolution that provides:
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Decision support system advice about a
BATNA (Best Alternative to a Negotiated Agreement) for a dispute ¨C
the BATNA is a starting point for negotiations, since it models what
would occur if the dispute was not resolved;
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An ability for the parties in dispute
to exchange arguments;
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A decision support system that advises
the participants, given their stated preferences, upon possible
trade-offs. This systems uses a combination of game theory and
artificial intelligence. The project has and is being supported by
three SPIRT/Linkage and a Linkage International grant. Further
funding is being sought in 2006 and 2007.
Crime Data Mining (J.
Zeleznikow)
This
project is being conducted in conjunction with international
collaborators with the goal of
using data mining to prevent potential criminal acts occurring. Emphasis
is being placed on detecting outliers and the ethical issues involved in
using such techniques.
e-Health
Cluster
analysis of gait patterns for locomotion-related diagnosis (R. Begg, Y. Zhang, G. Xu)
Despite falls in human locomotion by the older adults being a major
health problem, little is done so far for automated detection of
potential fallers. Gait analysis can detect abnormalities and evaluate
walking performance. Currently, there is almost no work in modelling
falls-risk gait using non-linear computational intelligence and data
mining techniques despite their demonstrated successes as diagnostic
tools in other areas such as diagnosis and assessment of gait function
in cerebral palsy and ankle arthrodesis patients. Therefore, this
project will develop new models based on cutting edge technology in
cluster analysis to derive relationships between gait parameters and
falling behaviour. This will enable, for the first time, an innovative,
integrated process for automated detection of at-risk gait for falls
risk minimization with potential for early risk identification, early
intervention and substantial economic benefits to Australia. This
research project targets the National priority research areas of
'Promoting and Maintaining Good Health' and 'Ageing Well and Ageing
Productively'.
Web Service/e-Service
A Framework for Supporting Consistent and Reliable
Collaborative Business Transactions (supported by ARC Discovery Project
Grant, Y. Zhang, C. Liu, J. Yang and M.
Papazoglou)
Business collaborations in loosely coupled distributed environments
require coordinating business activities among partners and maintaining
consistency for interacting long business processes. Current Web service
technology provides very primitive and restrictive support to business
transactions. We will propose a framework to provide specifications and
mechanisms for supporting reliable and consistent business transactions
in the context of Web services and formal models for consistency
verification. This project will contribute greatly to the fundamental
research in business transaction management, web service orchestration
and choreography, and deliver significant impact on related technology
development.
Face Modelling
and Recognition (B. Zhang)
Current research includes a number of fundamental problems in face
recognition and other related biometrics such as signature verification,
iris recognition and human activities recognition. Face modelling based
on 3D scanning and video recording is making progress. The research
projects also involve the issues in face detection and tracking in
real-time systems. How to extract facial dynamic appearance information
from video, how to obtain robust recognition with regard to occlusions,
illuminations and pose variations in face images, and how to apply
advanced machine learning methods for dimension reduction and
classification are the questions that have been emphasized in the
research. Research interests are also given to some biologically
motivated models in face image processing, modelling and recognition,
for example, kernel associative memory models, one-class-one-model
paradigm, Gabor decomposition of face images and reconstruction, and
dynamic models for video sequences. The experience and knowledge from
the research have also been extended to bioinformatics, image database
retrieval, and 3D facial animation.
Ph.D
Project/topics descriptions
1. Web mining Techniques for Web Recommendation and
Personalization.
--Guandong Xu (PhD candidate), Yanchun Zhang (Supervisor)
Nowadays Web users are facing the problems of information overload and
drowning due to the significant and rapid growth in amount of
information and the number of users. As a result, how to provide Web
user more exactly needed information is becoming a critical issue in
Web-based information retrieval and Web service applications. This
project aims to significantly improve the performance and accuracy of
Web information retrieval and Web service applications through
developing and employing computational intelligent paradigms.
Particularly, Web mining techniques are addressed to discover the
underlying correlation amongst Web objects, e.g. user access patterns.
Such uncovered knowledge is, then, combined into recommendation and
personalization design in Web applications to provide better service to
Web customers and users.
2. Towards Goal-Driven and
Ontology-Based Web Services Composition.
--Jiangang
Ma (PhD candidate), Yanchun Zhang (Supervisor)
Web Services Composition is ever-increasingly showing its impotance in
service-oriented computing. However, currently there is still lack of
effective approaches to support dynamic Web service composition. The aim
of this project is to develop simple and feasible mechanisms on
composing Web services. With the combination of Ontology, Semantic Web
Services, Artificial intelligence and Agent technology, we would propose
a novel service's constraint notion, a framework, related flexible
protocol and composition algorithm, which would bridge the gap of the
existing theory research and significantly improve the efficiency on the
composition of Web services.
3. Web Service Composition Transaction Management.
--Yanan
Hao (PhD candidate), Yanchun Zhang (Supervisor)
Web service is now the most popular paradigm for distributed computing.
Enterprises are able to outsource their internal business processes as
services and make them accessible via the Web. In spite of the rapid
development of Web services, current technologies are found lacking
efficient transactional support for compose Web services. This project
aims to present a transaction management model for web service
composition. This model can support the negotiation process for service
composition and ensure a correct composition and a reliable execution of
a composite service according to partners' transactional requirements.
4. Labelling and Indexing Scheme for Managing XML Documents.
--Maggie Doung (PhD candidate), Yanchun Zhang (Supervisor)
As XML continues to be utilised in various fields of information
technology, an urgent need for managing XML documents is being felt.
Considering day-to-day operations such as updating, accessing and/or
querying XML data, these tasks need to be accurate, quick to carry out,
easy to use and more importantly crucial information will be accessible
only to authorized entities. In this research, we propose a labelling
scheme for managing dynamic XML documents that makes the tasks of
accessing/querying and updating XML data faster. Moreover, it can
determine what kind and/or part of information can be displayed, updated
and/or modified by different types of users.
5. Collaborative Business Process Modelling: A
Requirements Engineering Approach
--Xin Wang (PhD candidate), Yanchun Zhang & Hao Shi (Supervisors)
Web services composition techniques provide a primitive foundation for
business collaboration in loosely coupled distributed environments.
Business Process Modelling (BPM) is a viable scheme to bridge the gap
between business activities and IT techniques. In spite of varieties of
competing and parallel specifications in this field, there is no
generally accepted de facto standard. Actually, this is partly due to
vague understanding of the requirements in business world. Accordingly,
this project will be focus on analysing some representative business
scenarios first to categorize and rank the requirements. In the next
stage, existing standards will be evaluated and a framework on
collaborative business processes modelling will be presented.
6. A generic biological classification
method for natural resource management
--Anne Vaneble (PhD candidate), Yuan Miao (Supervisor)
Spanning the disciplines of conservation biology and computer science, a
commencing project aims to investigate the development of a software
decision support tool for use in identifying and prioritising wetland
sites for active resource management. By applying computational methods
developed in artificial intelligence research to wetland data from the
Mc Callister Irrigation District, it is hoped that the proposed software
will be able to expertly mimic the decisions made by water resource
managers and wetlands field biologists.
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