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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 />

191

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