Conference Program of WCICA 2012

Conference Program WCICA 2012
◁ PFrC-20
Medium and Long-term Electric Load Forecasting based on Chaos
SVM, pp.660–663
Wang, Deji
staff development of CNTC
Because traditional prediction algorithm can not accurately forecast
long-term electricity load, chaos SVM prediction algorithm was introduced
and some of its characteristics were discussed􀋊 The
kernel function was chosen under the guidance of the geometric information.
The experiment shows that the algorithm is more accurate and
effective than the others.
◁ PFrC-21
The Motion Planning in the Automatic Generation of Mobile Phone 3D
Animation, pp.725–731
Qiu, Zhenzhen
Beijing Univ. of Tech.
Full life cycle automatic generation of computer animation is a new animation
technology which combines artificial intelligence with multimedia
technology.In this system,we introduce this technology into 3G mobile
phone. The target is that animation information of mobile phone message
is extracted and 3D animation is generated automatically under
computer aided and sent to the receiver of message. Motion planning is
one of the core modules in mobile phone 3D animation auto-generation
system. In this thesis ,we build action’s ontology using semantic web
technology. Firstly, motion planning module uses topic and action
atoms extracted from message to reasoning the corresponding action.
Secondly, it processes the capture data of action using motion editing
technology according to the animation scenes selected in plot planning.
Finally, it adds action to the specific character model and enriches the
effect of animation. The paper mainly describes the overall design,
detailed design of motion planning and the specific editing process of
action.
◁ PFrC-22
Plot planning of 3D animation based to Semantic Web in Chinese text,
pp.732–738
Nie, Junlian
Beijing Univ. of Tech.
Plot planning is a very important part in the mobile phone 3D animation
generation system , according to the abstract information, which is
extracted from a Chinese text, it plans the plot of a specific action or
animated scene. In this paper we present a practice of applying the
Semantic Web technologies in the domain of Chinese text, build an ontology
and a rule base to support the plot planning of the mobile phone
3D animation generation system, which enable the computer to understand
the meaning of the semantic knowledge.
◁ PFrC-23
An Improved Adaptive Harmony Search Algorithm, pp.743–747
Kong, Zhi
Wang, Lifu
Wu, Zhaoxia
Qi, Shiqing
Zou, Dexuan
Northeastern Univ. At Qinhuangdao
Northeastern Univ.
Northeastern Univ. At Qinhuangdao
Northestern Univ. at Qinhuangdao
Jiangsu Normal Univ.
This paper is concerned with the global adaptive harmony search
(GAHS) algorithms for solving optimization problems. GAHS employs
global information to the adaptive harmony search algorithm. The proposed
GAHS algorithm is tested numerically and contrasted with improved
harmony search (AHS) algorithm, and particle swarm optimization
(PSO). Our simulation results reveal that GAHS is superior to AHS
and PSO in terms of robustness and efficiency.
◁ PFrC-24
Parameter Acquirement Methods for Rule-based Model of Virtual Plant
Based on Optimal Algorithms, pp.748–752
Ding, Weilong
Xu, Lifeng
Hu, Chen
Zhang, Yuping
Zhejiang Universy of Tech.
hangzhoiu
hangzhou
China National Rice Research Inst.
Rule-based model is an effective technique to dynamically simulate the
morphological development of a plant. It is thus used widely in the
field of plant modeling and visualization. Before a virtual plant model
with high quality performance is established, it is a key step to provide
suitable parameters for the rule-based model. There are several disadvantages
in the traditional/manual ways to design the model, e.g. with
low efficiency. Therefore, how to obtain appropriate parameters for the
rule-based model has attracted many researchers devoting themselves
to this area. In the past twenty years, Genetic Algorithm and Gene Expression
Programming have been used to optimize the production rules
of Do L-system and Parametric Do L-system. Due to the complexity of
the structure of a plant, researches’attentions are mostly paid in the
narrow area of simple plant morphology restrictively. In this study, the
parameter-acquired methods for rule-based model, which is based on
Genetic Algorithm and Gene Expression Programming, are summarized.
And the relative techniques and the possible development in the
future are discussed as well
◁ PFrC-25
A Study on Obstacle Avoidance for Mobile Robot Based on Fuzzy Logic
Control and Adaptive Rotation, pp.753–757
Wen, Sufang
Wang, Lin
Inner Mongolia Univ. of Tech.
Inner Mongolia Univ. of Tech.
This paper presents a fuzzy logic control algorithm for the obstacle
avoidance of mobile robot in unknown environment. A reasonable and
applicable control response table is constructed by using fuzzy inference.
Meanwhile, in dealing with the deadlock problem, the algorithm
offers an adaptive rotation angle based on the detection distance. Simulation
results in different kinds of environments prove the effectiveness
and feasibility of the algorithm.
◁ PFrC-26
Application and research of Multi-label Naïve Bayes Classifier , pp.764–
768
Qin, Feng
Tang, Xianjuan
Cheng, Zekai
Anhui Univ. of Tech.
Anhui Univ. of Tech.
Anhui Univ. of Tech.
Multi-label learning and application is a new hot issue in machine learning
and data mining recently. In multi-label learning, the training set
is composed of instances each associated with a set of labels, and
the task is to predict the label sets of unseen instances through analyzing
training instances with known label sets. In this paper, authors
research on classifying multi-label data based on Naïve Bayes Classifier(NBC),
which is extended to multi-label learning. Training and testing
procedures are adapted to the characteristics and assessment criteria
of multi-label learning problem. The adapted NBC is realized through
programming on MBNC experimental platform and applied to the nature
scene classification, the results show that it is effective.
◁ PFrC-27
Research on Personality Behavior in Intelligent Virtual Environment,
pp.769–772
Shi, Lin
Li, Zhigang
Zhang, Jiajie
Hebei United Univ.
Tang Shan College
Hebei Polytechnic Univ.
Against the special requirements of realistic in the intelligent virtual
environment, this paper takes full account of the impact of personality
on behavior, and proposes a ”plan-TO-action” converter based on
Gaussian probability distribution function and the FSM (Finite State Machine).
The converter‘s work is to evaluate the parameters such as
time and place in the planning process, combined with the IVA’s personality,
to produce the final action. The converter is applied in prototype
system for smart home.
◁ PFrC-28
Algorithm Research for Gene-sequence-based 3D Model Reconfiguration
, pp.788–792
NING, Shu-Rong
Yuan, Shengyun
Lin, Rui
Univ. of Sci. & Tech. Beijing
Univ. of Sci. &Tech. Beijing
univsrsity of Sci. & Tech. beijing
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