Conference Program of WCICA 2012
Conference Program of WCICA 2012
Conference Program of WCICA 2012
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<strong>WCICA</strong> <strong>2012</strong><br />
Book <strong>of</strong> Abstracts: Saturday Sessions<br />
transfer-alignment, not considering the dynamic twist. Deflection angle<br />
<strong>of</strong> the second-order Markov process model was established and set up<br />
in simulink. Composed with the non-twisted lever-arm effect, the result<br />
showed that the acceleration error caused by dynamic twist was large<br />
and need compensated.b<br />
◁ PSaB-88<br />
Monitoring System for Forest Fire Based on Wireless Sensor Network,<br />
pp.4245–4248<br />
Zhu, Yingli<br />
Jiangxi Sci. &Tech. Normal Univ.,<br />
The forest is considered as a precious and indispensable nature resource,<br />
but forest fire which can destroy forest resource safety and<br />
threaten human-living environment is considered as one <strong>of</strong> the severest<br />
disasters. How to monitor and collect information <strong>of</strong> forest fire at<br />
any time, it is a difficult problem for Forest Fire Prevention Departments<br />
to urgently solve. With the development <strong>of</strong> sensor technology, MEM-<br />
S and wireless communications, wireless sensor network (WSN) has<br />
wide application in all kinds <strong>of</strong> fields. In order to prevent forest fire occurrence,<br />
this paper designs a monitoring system for forest fires based<br />
on wireless sensor network and GPRS network. The system gives the<br />
hardware design <strong>of</strong> wireless sensor nodes and s<strong>of</strong>tware implementations,<br />
and chooses CC2531 to achieve the process <strong>of</strong> data acquisition<br />
and transmission, then sends the data through GPRS module to the<br />
remote monitoring center. By means <strong>of</strong> WSN and GPRS network, the<br />
system accomplishes data acquisition and long distance transmission.<br />
◁ PSaB-89<br />
Noisy Blind Source Separation Based on Adaptive Noise Removal,<br />
pp.4255–4257<br />
Tang, Hui<br />
Huazhong Univ. <strong>of</strong> Sci. & Tech.<br />
A novel natural gradient algorithm with two-step pre-processing is proposed<br />
to solve the noise blind source separation problem. That is bias<br />
removal techniques followed by a de-noise processing based on least<br />
square. Then obtain an algorithm jointly estimating mixing-matrix and<br />
decreasing noise. In the condition <strong>of</strong> that sources are mutually independent<br />
and added-noise is independent with any source, computer<br />
simulations verify the algorithm is effective and perform better than traditional<br />
algorithm.<br />
◁ PSaB-90<br />
Research on Wireless Communication Based on GPRS in Greenhouse,<br />
pp.4272–4276<br />
Shi, Bing<br />
Changzhou Univ.<br />
Abstract: the wireless data exchange system based on GPRS used in<br />
monitoring vital environmental factors in greenhouse is designed, the<br />
principle and the blue print <strong>of</strong> the system are described and the terminal<br />
hardware and s<strong>of</strong>tware are also presented in details. A conclusion<br />
is presented at last.<br />
◁ PSaB-91<br />
A robust and optimal search tactic using multiple looks, pp.4297–4304<br />
Nguyen, Bao<br />
Bourque, François-Alex<br />
Defence R&D Canada<br />
Department <strong>of</strong> National Defence<br />
We provide an optimal strategy for an autonomous vehicle to detect<br />
a target in a mine hunting operation or in a search & rescue mission.<br />
We assume that the target exhibits mirror symmetry. By mirror symmetry,<br />
we mean that the left hand side <strong>of</strong> a target is the mirror image <strong>of</strong><br />
the right hand side <strong>of</strong> the same target, and the probability <strong>of</strong> detection<br />
is maximal when a target is viewed at zero degree while that probability<br />
is minimal when viewed at ninety degrees and is monotonous between<br />
the maximum and the minimum. The optimal strategy consists <strong>of</strong><br />
choosing look angles to inspect a target such that the probability <strong>of</strong> detection<br />
is maximal. We use a novel combination <strong>of</strong> variational calculus,<br />
symmetry principles, number theory and algebra to determine analytically<br />
the optimal angles. The solutions will help the operators plan for<br />
an effective strategy in a generic search and detection operation. Such<br />
a strategy is robust as most targets <strong>of</strong> interest possess approximate<br />
mirror symmetry.<br />
◁ PSaB-92<br />
Design and Implementation on SOAP-Based Things Management Protocol<br />
for Internet <strong>of</strong> Things, pp.4305–4308<br />
Dai, Guiping<br />
Beijng Univ. <strong>of</strong> Tech.<br />
With development <strong>of</strong> integration requirements for things’ information<br />
based on different connection technology in Internet <strong>of</strong> Things, higher<br />
level connection-technology-independent protocols are needed to<br />
shield different connection technologies. Things management protocol<br />
is one <strong>of</strong> these protocols and can be used to exchange things’ information.<br />
Architecture <strong>of</strong> Internet <strong>of</strong> Things and necessity <strong>of</strong> things management<br />
protocol are discussed. A SOAP-based things management<br />
protocol is designed and implemented, including operations supported,<br />
interface definitions for these operations, implementation structure and<br />
processing for this protocol.<br />
◁ PSaB-93<br />
Study on A Real-time Optimal Multi-sensor Asynchronous Data Fusion<br />
Algorithm, pp.4362–4367<br />
Qi, Guoqing<br />
Nanjing Univ. <strong>of</strong> Sci. & Tech.<br />
Oriented on asynchronous data in multi-sensor data fusion system, a<br />
real-time fusion architecture is put forward, which is in unbiased minimum<br />
variance sense. The proposed asynchronous fusion algorithm<br />
can solves the measurements sequentially that does not need to preset<br />
fusion periods for fusion center to synchronize asynchronous data<br />
transmitted from multi sensors. Simulation result has proven the efficiency<br />
<strong>of</strong> the algorithm, and it also illustrates that the algorithm can<br />
improve the estimation precision obviously when the target is maneuvering<br />
and there is system error in measurement.<br />
◁ PSaB-94<br />
The Research <strong>of</strong> Environmental Monitor System in Brewage House <strong>of</strong><br />
Alcohol Factory Based on WSN, pp.4401–4404<br />
Zhang, Kan<br />
Wang, Weihong<br />
BeiHang Univ.<br />
Beihang Univ.<br />
The paper presents a wireless sensor network system, including 433<br />
MHz, ZigBee wireless network, data collection node and data concentrator<br />
node. This system is mainly to apply to monitoring winery’s<br />
environment, the principle <strong>of</strong> which is that data collection node uses<br />
433 MHz wireless network to send data , data concentrator node uses<br />
433 MHz wireless network to receive the data from data collection n-<br />
ode , then sends the data to the sever by ZigBee module through the<br />
processing <strong>of</strong> MCU. Meanwhile the personal can examine this data to<br />
monitor the change <strong>of</strong> winery’s environment. The practice proves the<br />
function <strong>of</strong> WSN system and guarantees the quality <strong>of</strong> liquor-making.<br />
Chair: Huo, Wei<br />
Poster Session PSaC<br />
July 7, 16:30-17:50<br />
Beijing Univ. <strong>of</strong> Aeronautics & Astronautics<br />
◁ PSaC-01<br />
Recognition <strong>of</strong> Crude Drugs Based on SVM, pp.4688–4690<br />
Ming, Zhiyuan<br />
Yunnan Univ. <strong>of</strong> Nationalities<br />
Support Vector Machine (SVM) is a machine learning theory based<br />
on statistical learning algorithms, which are lots <strong>of</strong> unique advantages<br />
on solving the small sample, nonlinear and high dimensional pattern<br />
recognition. This article uses kernel function on support vector machine<br />
to identify propolis in Yunnan. Compared with traditional algorithms, it<br />
can solve the small sample, nonlinear and other issues. The experiments<br />
show the performance is good when using SVM kernel function<br />
on solving the herbs recognition.<br />
◁ PSaC-02<br />
Composite Materials Evaluation by the Wavelet Transform and Fuzzy<br />
Pattern Recognition, pp.4701–4704<br />
Gao, Zhiqi<br />
Inner Mongolia Univ. <strong>of</strong> Tech.<br />
This paper studies the evaluation <strong>of</strong> bonding quality for thin composite<br />
plate. The main methods are wavelet transform and fuzzy pattern<br />
recognition. At first, ultrasonic NDT (Non Destructive Testing) detection<br />
method is introduced and the characteristic <strong>of</strong> the echo signal is<br />
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