[BiO BB] Call for Papers: ITCC2004
maria.mirto at unile.it
Wed Aug 27 14:19:24 EDT 2003
please find attached the Call For Papers for:
5th IEEE International Conference on Information Technology: Coding and
Computing (ITCC2004) -
Special Session on Methodologies, Technologies and Applications in distributed
and Grid systems.
Las Vegas, Nevada 5-7 April 2004
sponsored by IEEE Computer Society
This Conference Track aims at offering a forum of discussion where young
researchers and PhD students could present their research activities, either
at an early or mature phase.
Maria Mirto, CACT/ISUFI (Center for Advanced Computing Technology)
Engineering Faculty, Department of Innovation Engineering
University of Lecce, Via per Monteroni, 73100 Lecce, Italy
phone: +39-0832-297304, fax: +39-0832-297279
We apologize if you receive multiple copies of this email.
Special Session on Methodologies, Technologies and Applications
in distributed and Grid systems.
ITCC 2004: IEEE International Conference on
Information Technology: Coding and Computing
Sponsored by the IEEE Computer Society
April 5-7, 2004
The Orleans, Las Vegas, Nevada
Call for Papers
Computational Grids, initially used for the sharing of distributed computation
resources in scientific applications, start to be used in different
application domains offering basic services for application definition and
execution in heterogeneous distributed systems.
In health systems, the Grid offers the power and ubiquity needed to the
acquisition of biomedical data, processing and delivering of biomedical images
(CT, MRI, PET, SPECT, etc) located in different hospitals, within a wide area.
So, the Grid acts as a Collaborative Working Environment: doctors often want
to aggregate not only medical data, but also human expertise and might want
colleague around the world to visualize the examinations in the same way and
at the same time so that the group can discuss the diagnosis in real time.
The Grid offers a dynamic infrastructure for retrieving and on-demand
processing of remote sensing data, for instance, retrieving of SAR metadata
related to terabyte of SAR data, starting on-demand processing on raw data,
starting on-demand post-processing on focalized data and creating a complex
application composing simple tasks.
For atmospheric and climate modeling, a Grid offers tools for simulate and
forecasting meteorological phenomena, simulate emission and dispersion of
pollutants for air quality studies and simulate complex phenomena about the
impact of global climate changes.
Grid Computing techniques can be used in the motor industry, reducing the
optimization process time for improvement of diesel engine emission
performance using, for instance, micro-genetic algorithms for engine chamber
geometry optimization and Kiva3 code to calculate chamber geometry fitness.
In the computer aided medicine, the Grid technologies can be used in the
surgical simulations (including virtual environment and haptic interface).
Interesting research areas involve the detection, in the virtual environment,
of the contact points between artery walls and medical instruments, studies to
generate, by means of the haptic interface, the force feedback associated to
the interaction in the virtual environment and describe the physical behaviour
of the organs considered as deformable tissues.
Finally, bioinformatic applications call for the ability to read large
datasets (e.g. protein databases) and to create new datasets (e.g. mass
spectrometry proteomic data). They can require the ability to change
(updating) existing datasets; consequently a Data Grid, i.e. a distributed
infrastructure for storing large datasets, is needed. In the bioinformatic
field, a Data Grid could reveal useful to build Electronic Patient Record
systems (EPRs) for the management of patient information (data, metadata and
images), to support data replication, allowing the integration and sharing of
biological databases and, generally, for the developement of efficient
bioinformatics (in particular proteomic) applications.
The main goal of the Conference Track is to discuss well-known and emerging
data-intensive applications in the context of distributed systems and Grid
systems, and to analyze technologies and methodologies useful to develop such
applications in such environments.
In particular, this Conference Track aims at offering a forum of discussion
where young researchers and PhD students could present their research
activities, either at an early or mature phase.
Topics include, but are not limited to:
Data intensive applications in distributed and Grid systems:
- Grid for biomedical imaging;
- Grid for remote sensing and GIS application;
- Grid for Atmospheric and Climate Modeling;
- Grid for motor industry (diesel engine simulation);
- Grid for surgery simulations;
- Bioinformatic for:
o Biomedical Imaging;
o Proteomics and genomics;
o Electronic Patient Records;
o Medical images, data and metadata management;
o Image Recognition, Processing and Analysis.
Technologies and methodologies in distributed and grid-based applications:
- Grid technologies (Grid portals, Web & Grid services, portlets);
- Grid Information and Monitoring services and related
(OO,Relational,XML) data models;
- Grid Security;
- Grid Workload and Data management services;
- Grid Resource management;
- Parallel and Distributed application (cluster and grid based);
- Simulation and Applications of Modeling.
October 17, 2003 Paper Due
November 14, 2003 Author Notification
December 19, 2003 Camera-Ready Copy
Note: The Proceedings will be published by IEEE Computer Society. A special
issue of an international journal is being planned consisting of selected
papers from this conference. Authors of selected papers will be invited to
submit an extended version for the journal.
Papers should be original and contain contributions of theoretical or
Interested authors should send a 5-page paper
( IEEE Proceedings format http://computer.org/cspress/instruct.htm ),
including 5 keywords, before the 17nd October 2003 deadline, to the
Special Session chair:
CACT/ISUFI (Center for Advanced Computing Technology),
c/o Engineering Faculty, Department of Innovation Engineering,
University of Lecce,
Via per Monteroni,
73100 Lecce, Italy,
Email: maria.mirto at unile.it
Electronic submission (PostScript or PDF) is strongly encouraged.
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