Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
ment function was introduced and the eigenvectors of amendment patterns
were worked out. A ranking method of the amendment patterns
was proposed and the normalized eigenvectors of amendment patterns
ranked were stored in advance. During measurement the optimal patterns
were recognized in universe and amended in local area according
to the principle of the minimum of variance sum. Then the dust content
could be inversed with the total light ratio of signal to optimal pattern.
Experiments proved the error of total dust and respiring dust declined
from 6% to 2% and from 9% to 3%, respectively. It is concluded that
the improved algorithm has enhanced the precision and real-time performance
of dust sensor remarkably.
◁ PSaB-58
Fault-tolerant Data Aggregating using Median Filtering in Cluster-based
Homogeneous WSN, pp.4441–4445
Liu, Shaoqiang
Tan, Zongkai
Fan, Xiaoping
Long, Hui
Li, Yongzhou
Liu, Limin
Central South Univ.
Central South Univ.
Central South Univ.
Central South Univ.
automatication institution
Central South Univ., Changsha
The nodes of Wireless Sensor Network (WSN) easily produce fault sensor
readings because of the harsh environment and the energy restriction
and so on. To enhance reliability and save energy, this paper proposes
a median filter and weighted pseudo-median filter based aggregating
method for in-cluster data of homogeneous WSN, which combines
fault nodes self-checking and clustering data fusion together. In
the aggregating scheme, each node receives the fusion result from the
cluster head (CH) and estimates the confidence grade of its measuring
result for next aggregation round, if a node is not a fault one, it transmits
its confidence grade and filtered measuring value to the CH. Based on
the proposed weighting rule of median filter, the CH sets the current
weight of each node’s data, which depends on the confidence grade
determined by node itself and the current number of nodes to aggregate
data in the cluster. The CH computes and outputs the weighted
pseudo-median of the received data as the fusion result. The simulation
and analysis show that on the premise of minimum redundancy,
the proposed method is valid under the circumstance of high fault node
rate and the high fusion accuracy is obtained even in the case of a s-
mall proportion of communication error or data packet dropout without
communication detecting or confirmation.
◁ PSaB-59
A Street Lamp Clustered-control System Based on Wireless Sensor
and Actuator Networks, pp.4484–4489
LIU, Xinhua
Wuhan Univ. of Tech.
In order to resolve the problems of city street lamp control and management,
a street lamp clustered-control system based on wireless sensor
and network (WSANs) is proposed in this paper. In the system, the related
information of vehicles running on the road will be detected by the
sensors deploying along the both side of the road, and then the sensing
data will be passed to the actuators being equipped on the lamps
through multi-hop wireless communication. The actuators gather the
information from the sensors and regulate the brightness of the lamp
by the distributed and cooperated control algorithm. According the security
rulers of driving a vehicle, a certain number of lamps in a security
distance before and after the vehicle will be turned on. The street lamp
clustered-control system is good at energy saving and validated by the
experiment results.
◁ PSaB-60
Research on blind detection of image splicing based on run length matrix
combined properties, pp.4545–4550
Liu, Han
Xi’an Univ. of Tech.
Image splicing is a technique commonly used in image tampering. In
order to achieve image splicing blind detection, a blind, passive, yet
effective splicing detection method is proposed in this paper. In this
method run length matrix is used to extract image feature and generate
the identification model with combination of Neighborhood DCT Coefficient
Co-occurrence Matrix Feature and Markov Feature. Support
vector machines (SVM) also is selected as classifier for training and
testing while genetic algorithm is used to optimize parameters based
on evaluation criteria AUC. Experimental results show that there is high
classification accuracy for obtained model by this method.
◁ PSaB-61
CRM System Design of Financial Equipment Enterprises Based on XM-
L , pp.4141–4146
Cui, Wenhua
Liu, Xiaobing
Wang, Jie-sheng
liaoning Sci.&Tech. Univ.
Dalian Univ. of Tech.
Univ. of Sci. & Tech. Liaoning
Based on the characteristics of the financial equipment manufacturing
industry and the customer relationship management theory, a customer
relationship management system based on the product maintainer is
designed. Then the UML modeling method is adopted to design and
implement a CRM system after analyzing the functions of the customer
relationship management system. Focusing on the production services
and the qualify tracing, the system accomplishes the main modules
of customers resource management, stock management, product services
and quality tracking management. Based on the technologies of
XML, Web and .NET and wireless Wap, an XML-based .NET data access
model is proposed to implement the information integration and
data exchange between CRM system and other systems or heterogeneous
databases.
◁ PSaB-62
An improved particle swarm optimization based on wolves’ activities
circle, pp.4557–4562
Wei, Bin
Xi’an Jiaotong Univ.
Recently nature-inspired algorithms have attracted a lot of attentions.
Particle swarm optimization (PSO) is one of the most successful natureinspired
algorithms. However, studies showed that PSO has some
drawbacks such as easy to fall into the local optimum and slow convergence
rate in the later iterations. In this paper, inspired by the wolves’
activities circle we propose a novel PSO (named PSO WOLVES). The
PSO WOLVES was tested on eight benchmark functions and compared
with three modified PSO, and the results showed that our algorithm not
only has better search ability but also has faster convergence speed.
◁ PSaB-63
A New Color Image Sharing Scheme with Natural Shadows , pp.4568–
4573
Chiu, Pei-Ling
Lee, Kai-Hui
Peng, K.-W.
Cheng, S.-Y.
Ming Chuan Univ.
Ming Chuan Univ.
Ming Chuan Univ.
Ming Chuan Univ.
Conventional visual secret sharing (VSS) schemes generate noiselike
random pixels on shares to hide secret images. However, these
schemes suffer from two problems, one related to security and one related
to management. First, the noise-like shares arouse suspicion,
which leads to security problems for participants who are involved in a
VSS scheme. Second, participants cannot visually identify each share,
especially if they hold more than one share simultaneously, which leads
to the management problem. To address the management problem previous
researchers developed extended visual cryptography schemes
that add a meaningful cover image on each share. Generally, however,
these approaches introduce a more serious pixel expansion problem
than conventional VSS schemes. In addition, there are still many noiselike
shares, which do not effectively reduce the security problems. This
paper proposes a natural-image-based secret image sharing scheme
(NSISS) that can share a color secret image over n − 1 arbitrary natural
images and one noise-like share image. Instead of altering the
contents of the natural images, the encryption process extracts feature
images from each natural image. In such a way, the unaltered natural
images are innocuous, thus greatly reducing the security problem. Experimental
results indicate that the proposed approach is an excellent
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