Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Friday Sessions
◁ PFrB-16
Study on the Signal Control Problem with Pedestrians Non-complying,
pp.388–391
LIU, QIN
South China Univ. of Tech.
To solve the signal control problems created by the mutual interference
between motor traffic and pedestrians in cities, the signal control model
with pedestrians non-complying is proposed based on the traditional
signal optimization model. A particle swarm algorithm is proposed to
solve the signal control problem. Based on an intersection of Tianhe
district in Guangzhou City, the model is calculated and simulated
through programming. As it shows, the proposed method achieved
substantially better performance than did traditional approaches without
considering pedestrians non-complying.
◁ PFrB-17
Blind Signal Detection Directly Using Functional Networks , pp.402–406
RUAN, Xiu-kai
Wenzhou Univ.
Functional Network(FN) has been used in many field successfully,
but has no blind equalization or detection method using FN been expressed.
The original idea of blind signal detection directly algorithm
using the framework of multi-input multi-output Functional Networks
(MIMO-FN) is given out. The method of designing the network structure
and the role of network state are shown, etc. Then, the advantages and
disadvantages of the proposed algorithm is analyzed.
◁ PFrB-18
Automated Simulation of Flapper and Foil System, pp.413–417
Hu, Ying
kunming Univ. of Sci. & Tech.
Numerical approach using the large-eddy simulation based on the compressible
hydrodynamic equations is developed and employed in simulating
on turbulent flow around a system of two flappers and a stationary
foil. Similar conclusions concerning the mean flow profiles and turbulent
intensity can be found in the simulation of flow around the flapper
and foil system. Extensive studies are conducted on the effect of the
unsteady outer flow, which is produced by the two upstream flappers,
on the boundary layer of the stationary foil. As the unsteadiness in the
outer flow is small, the response of the boundary of the stationary foil
is mainly the first harmonic of the flappers’oscillation. An interesting
phenomenon of the tangential velocity phase shifting in the stationary
foil’s boundary layer is observed.
◁ PFrB-19
A Novel Swarm Intelligence Optimization Inspired by Evolution Process
of A Bacterial Colony, pp.450–453
Li, Ming
Southwest Forestry Univ.
Traditional swarm intelligence algorithms lack of evolution ability and
are easy to fall into premature convergence. Therefore, a new kind of
swarm intelligence algorithm, called bacterial colony optimization (B-
CO) algorithm, was proposed in this paper. The solution space of the
problem was considered as a certain culture medium. A single bacterium
or a few bacteria were placed randomly in the space. The BCO
algorithm was designed through simulating the evolution process of the
bacterial colony. The BCO itself has a certain evolutionary mechanism
and could be terminated naturally, which had given a new termination
criterion for swarm intelligence algorithms. A series of simulation experiments
on three test functions were used to verify the effectiveness
of the BCO algorithm. The simulation results showed that the BCO
algorithm can converge to the global optimization solution.
◁ PFrB-20
Application of Neural network Model to Guangxi Ensemble Precipitation
Prediction, pp.454–457
Nong, Mengsong
Nanjing Univ. of information Sci. & Tech.
Using the method of artificial neural networks and principal component
analysis (PCA) to study on a variety of numerical forecast products
for the same precipitation forecast. The results showed that the fitting
accuracy of the principal component analysis artificial neural network
ensemble model is better than each sub-product and the experimental
results of the independent samples also shows its better prediction
accuracy and stability. The model is a good prospects for business
applications.
◁ PFrB-21
Hybrid Particle Swarm Algorithm with Application to Distributed Generation
Planning, pp.464–467
Wu, Haitao
Huang, Fuzhen
Shanghai Univ. of Electric Power
Shang Univ. of Electrical Power
In this paper a hybrid intelligent algorithm combining particle swarm algorithm
with natural selection mechanism is proposed and applied to
the distributed generation planning. Based on the need of load and
cost, a model for distributed generation planning is developed, in which
the constraint condition is introduced by the penalty function. Experimental
results show the feasibility and efficiency of the hybrid particle
swarm algorithm and the performances of the proposed method and
the basic particle swarm algorithm are compared in the example.
◁ PFrB-22
Evolutionary game analysis on opportunistic behavior of purchasing alliance
with Con t ract mechanism, pp.468–473
Xiong, Weiqing
NingBo Univ.
This paper analyzes the evolutionary process of purchasing alliance
members with Contract mechanism .Contract mechanism is divided into
complete contract mechanism and incomplete contract mechanism.
On the basis of fewer preventive costs and meeting certain relations
between cost and income, complete contract mechanism is able to restrain
the opportunistic behavior of purchasing alliance members in the
following two circumstances: the one is larger compensation coefficient;
the other is modest compensation coefficient and good purchasing alliance
environment. Incomplete contract mechanism is able to restrain
the opportunistic behavior of purchasing alliance members when meeting
fewer preventive cost, moderate compensatory coefficient and good
purchasing alliance environment.
◁ PFrB-23
A Control Method of Substrate Feeding about Lysine Fermentation,
pp.479–483
Ding, Shenping
Wu, Weirong
Wang, Bo
Suzhou Industrial Park Vocational Technical Inst.
suzhou industrial park Inst. of vocational Tech.
JinagSu Univ.
A fuzzy neural network inverse model is established in order to solve
the optimal and the maximum output rate in lysine substrate feeding
fermentation process control through research the structural and parameters.
The model is more robust, more adjusts the membership
function automatically and more dynamics in the rule optimal control
than the traditional rule-based fuzzy control. And it is trained by the optimal
production data in the actual process of lysine substrate feeding.
The output of the substrate feeding inverse model is the real-time input
of system. Experimental results show that lysine productivity improved
significantly and achieve real-time online control by the method in lysine
substrate feeding process control.
◁ PFrB-24
Defect Recognition of Cold Rolled Plate Shape Based on RBF-BP Neural
Network, pp.496–500
Li, Xiaohua
Zhang, Junjie
Univ. of Sci. & Tech. Liaoning
Univ. of Sci. & Tech. Liaoning
By means of the analysis for the defect pattern of plate shape, a shape
defect recognition method for cold rolled strips is proposed based on
RBF-BP neural network in this paper. The memberships relative to
six basic patterns of common plate shape defects are identified. This
method syncretizes the advantages of RBF and BP neural network.
There are very fast approaching speed and high precision of network
recognition. The simulation of the proposed method is done, and
the simulation results are compared with the results of the recognition
method by using BP neural network. The results show that the
recognition method proposed in this paper gives better effect than the
one making use of single network. And it is more suitable for real-time
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