|
Program
Please
note
that
this
schedule
is
subject
to
change.
| |
SUNDAY 28 September 2008 |
|
17:00 - 20:00 |
City tour and drinks at Glenelg beach |
| |
|
| |
MONDAY 29 September 2008 Master of ceremonies: Assoc Prof Jiuyong Li |
| 8:30 - 9:15 |
Registration |
| 9:15 - 9:30 |
Opening |
| |
Invited presentation |
| 9:30 - 10:30 |
Social Interaction is a Powerful Optimiser: The Particle Swarm
James Kennedy |
| 10:30 - 10:50 |
Morning tea |
| |
Regular presentations |
| Session 1 |
Session chair: Assoc Prof David Kearney |
| 10:50 - 11:20 |
Bio-Inspired Small Target Discrimination in High Dynamic Range Natural Scenes
Steven D. Wiederman, Russell S. A. Brinkworth, David C. O'Carroll |
| 11:25 - 11:55 |
An Evolutionary Cluster Validation Index
Sanghoun Oh, Chang Wook Ahn, Moongu Jeon |
| 12:00 - 12:30 |
Small Universal Spiking Neural P Systems with Exhaustive Use of Rules
Xingyi Zhang, Yun Jiang, Linqiang Pan |
| 12:30 - 13:30 |
Lunch |
| Session 2 |
Session chair: Prof Linqiang Pan |
| 13:30 - 14:00 |
Input
Data
Analysis
by
Neural
Network
Tim
Hendtlass
|
| 14:05 - 14:35 |
Algorithm for Elliptic Curve Diffie-Hellman Key Exchange Based on DNA Tile Self-Assembly
Zhen Cheng, Yufang Huang, Jin Xu |
| 14:40 - 15:00 |
Afternoon tea |
| 15:00 - 15:30 |
Effective Feature Extraction by Trace Transform for Insect Footprint Recognition
Bok-Suk Shin, Eui-Young Cha, Kwang-Baek Kim, Kyoung-Won Cho, Reinhard Klette, Young Woon Woo |
| 15:35 -
17:10 |
Student colloquium |
| |
TUESDAY 30 September 2008 Master of ceremonies: Assoc Prof Jiuyong Li |
| |
Invited presentation |
| 9:30 - 10:30 |
Insect Vision
David O'Carroll |
| 10:30 - 10:50 |
Morning tea |
| |
Regular presentations |
| Session 3 |
Session chair: Prof Tim Hendtlass |
| 10:50 - 11:20 |
Stochastic Pooling Networks: A Biologically Inspired Model for Robust Signal Detection and Compression
Mark D. McDonnell, Pierre-Olivier Amblard, Nigel G. Stocks
|
| 11:25 - 11:55 |
One-Time-Pads Encryption in the Tile Assembly Model
Zhihua Chen, Jin Xu
|
| 12:00 - 12:30 |
Efficient DNA Sticker Algorithms for DES
Zhihua Chen, Xiutang Geng, Jin Xu
|
| 12:30 - 13:30 |
Lunch |
| Session 4 |
Session chair: Dr Grant Wigley |
| 13:30 - 14:00 |
A Fast Solution to the Partition Problem by Using Tissue-Like P Systems
Daniel Díaz-Pernil, Miguel A. Gutiérrez-Naranjo, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez
|
| 14:05 - 14:35 |
Automata-Based L-Grammar Extraction from Multiple Images for Virtual Plants
Hongchun Qu, Qingsheng Zhu, Lingqiu Zeng, Mingwei Guo, Zhonghua Lu
|
| 14:40 - 15:00 |
Afternoon tea |
| 15:00 - 15:30 |
Solving the 0-1 Planning Problem Based on Self-Assembly of DNA Tiles
Yufang Huang, Zhen Cheng, Jin Xu |
| 15:35 - 16:05 |
Research on Invasive Weed Optimization Based on the Cultural Framework
Xuncai Zhang, Zhihua Chen, Jin Xu, Guangzhao Cui, Ying Niu
|
| 17:30 till late |
Sunset
drinks
and conference dinner |
| |
WEDNESDAY 1 October 2008 Master of ceremonies: Assoc Prof Jiuyong Li |
| |
Invited presentation |
| 9:30 - 10:30 |
On the
Power of
Endocytosis
and
Exocytosis
Gabriel
Ciobanu |
| |
Regular presentations |
| Session 5 |
Session chair: Mr Phillip Lock |
| 10:35 - 11:05 |
Effect of Bio-Inspired Multi-Stage Regulations for Diagnostic Molecular Automata
Miki Hirabayashi, Hirotada Ohashi, Tai Kubo |
| 10:10 - 10:30 |
Morning tea |
| 10:30 - 11:00 |
Extraction of Muscle Areas from Ultrasonographic Images Using Refined Histogram Stretching and Fascia Information
Kwang-Baek Kim, Sungshin Kim, Suhyun Park, Young Woon Woo |
| 11:05 - 11:25 |
Implementation of a Classification-Based Prediction Model for Plant mRNA Poly(A) Sites
Guoli Ji, Xiaohui Wu, Jiangyin Huang, Qingshun Quinn Li |
| 11:30 - 11:50 |
Research on ACO with Multiple Nests’ Cooperation for Narrow TSP
Jiao Biao Wang, Wei Wang |
| 11:55 - 12:15 |
A Method to Encrypt Information with DNA Computing
Zheng Zhang, Xiaolong Shi, Jie Liu
|
| 12:20 - 12:30 |
Closing ceremony (including best paper award ceremony) |
| 12:30 - 13:30 |
Lunch |
| 14:00 till late |
Optional post-conference tour (Cleland Wildlife Park) |
| |
|
Invited
speakers
The
invited
speakers
for BIC-TA
2008 and
abstracts
of their
presentations
are
given
below.
You can
view the
professional
biographies
of the
invited
speakers
by
clicking
on their
names.
James
Kennedy
(Department
of Labor,
USA)
Title:
Social
Interaction
Is a
Powerful
Optimizer:
The
Particle
Swarm
Abstract: The
particle
swarm
algorithm
helps
computer
scientists
and
engineers
solve
hard
problems,
and also
suggests
insights
into the
computational
power of
social
interaction.
The
method
evolved
out of
social
psychological
simulations
of
social
influence
processes
featuring
a
positivity
bias in
self-presentation
and a
proclivity
for
mimicry,
with
some
random
noise
added.
In this
talk I
will
introduce
the
algorithm,
show its
connections
to
social
behaviors
in
humans
and
other
species,
and
discuss
effects
of
variations
in rules
and
parameters.
I will
tend to
emphasize
research
that
simplifies
the
algorithm
rather
than
making
it
harder,
as
researchers
come to
understand
what is
essential
for
intelligence
to
emerge
in a
population
of
simple
interacting
entities.
Gabriel
Ciobanu
('Alexandru
Ioan
Cuza'
University
of Iasi,
Romania)
Title:
On the
Power of
Endocytosis
and
Exocytosis
Abstract:
Endocytosis
is the
process
of
moving
items
that are
outside
of the
cell
into the
cytoplasm
of the
cell.
Exocytosis
is the
process
of
moving
items
from the
cytoplasm
of the
cell to
the
outside
of the
cell.
These
processes
are
abstracted
by
systems
of
mobile
membranes.
In my
talk I
will
discuss
the
modelling
and
computational
power of
mobile
membranes.
First I
will
show how
mobile
membranes
can be
used to
model
the
behaviour
of
dendritic
cells in
the
human
immune
system.
Then I
will
present
results
I have
obtained
which
indicate
the
computational
power of
systems
of
mobile
membranes.
David
O'Carroll
(University
of
Adelaide,
Australia)
In his
talk,
David
O'Carroll
will
discuss
the
research
he and
his
colleagues
are
carrying
out at
the
Insect
Vision
Research
Laboratory
at the
University
of
Adelaide.
This
research
asks how
the
brain
makes
sense of
the
world
viewed
by the
eye.
Insects
are
ideal
for
tackling
this
problem
at
theoretical,
physiological
and
behavioral
levels.
With a
visual
system
that
accounts
for as
much as
30% of
the
lifted
mass,
some
flying
insects
invest
more in
vision
than any
other
animal.
What
happens
to the
abundance
of
information
collected
by such
large
eyes?
How has
the
brain
evolved
to
optimally
extract
the
features
from
scenes
that are
most
relevant
to the
behavior
adopted?
David
and his
colleagues
have
employed
multidisciplinary
approaches
in
addressing
these
challenging
questions.
Neural
pathways
are used
for
detection
of
moving
patterns
and
objects.
Computer
models
for
circuits
that can
'filter'
out
behaviorally
relevant
components
of
images
that
change
in space
and time
are
compared
with
physiological
recordings
from
neurons
in the
insect
brain.
Both
theory
and
physiological
data are
related
to the
behavior
of
different
insects
and
their
visual
ecology.
The
principal
aim is
to
deduce
the
algorithms
used by
insect
neurons
to
generate
specific
responses
to
visual
patterns.
The
insect
optic
lobe is
a superb
model
system
for
studying
mechanisms
by which
networks
of
neurons
analyse
visual
stimuli.
David
and his
colleagues
adopt a
wide
variety
of
techniques
drawn
from
biology,
computer
science
and
engineering
to
augment
our
basic
neurophysiological
approach
to
studying
this
system.
Program
Information
about
the
other
aspects
of the
program
will be
available
closer
to the
time of
the conference. |
