15.07.2014 Views

Conference Program of WCICA 2012

Conference Program of WCICA 2012

Conference Program of WCICA 2012

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

improved the signal-to-noise ratio and precision. The host mainly contained<br />

four parts, including micro-control system, driving circuit <strong>of</strong> light<br />

source, photoelectric conversion and signal conditioning circuit and L-<br />

CD display circuit. In addition, in the structure <strong>of</strong> host an open data interface<br />

was reserved for very easily connect to the leaves clamp, which<br />

achieved real-time, quick and nondestructive measurement <strong>of</strong> different<br />

plant components (chlorophyll and moisture <strong>of</strong> plant leaves were basically<br />

studied in this paper. The characteristic wavelengths 680nm and<br />

940nm was used to measure chlorophyll, 880nm and 974nm was used<br />

to measure moisture). In the calibration experiment the instrument have<br />

a excellent results <strong>of</strong> the prediction. The correlation coeffieient between<br />

the prediction value and the true value <strong>of</strong> moisture content and chlorophyll<br />

content repectively is 0.86 and 0.92. The standard error <strong>of</strong> prediction<br />

repectively is 0.016 and 0.020.<br />

◁ PSaB-81<br />

High Precision Attitude Estimation Algorithm Using Three Star Trackers,<br />

pp.4168–4173<br />

Chen, Binglong<br />

Geng, Yunhai<br />

Yang, Xu<br />

Harbin Inst. <strong>of</strong> Technonlogy<br />

Harbin Inst. <strong>of</strong> Tech.<br />

Harbin Inst. <strong>of</strong> Tech.<br />

This paper presents an attitude estimation algorithm for the satellite<br />

with three star trackers. The attitude estimation accuracy can be improved<br />

with modified attitude matrix using measurements from other s-<br />

tar trackers. The attitude determination algorithm with two star trackers<br />

was reviewed firstly, and then a modified attitude estimation algorithm<br />

using three star trackers is proposed to enhance the precision <strong>of</strong> the<br />

attitude estimation. The extended Kalman filter is used to estimate the<br />

attitude <strong>of</strong> the nonlinear satellite system, and a federated configuration<br />

is adopted to process the estimated states and covariance matrices for<br />

high accuracy attitude estimation. Using the proposed algorithm, the<br />

satellite can perform missions continuously. A mathematical simulation<br />

is performed to verify the effectiveness <strong>of</strong> the adoption attitude estimation<br />

algorithm, using a designed PD control, five reaction wheels as<br />

the attitude control system and three star trackers mounted with a titled<br />

angle and a federated EKF as attitude determination system.<br />

◁ PSaB-82<br />

Application <strong>of</strong> Blind Sources Separation in Plant Leaves Classification,<br />

pp.4174–4179<br />

WU, Ying<br />

GUO, Tian-tai<br />

JIANG, Jie-wei<br />

China Jiliang Univ.<br />

China Jiliang Univ.<br />

China Jiliang Univ.<br />

This paper discussed the application <strong>of</strong> Blind Sources Separation (B-<br />

SS) in plant leaves classification. Firstly, collection <strong>of</strong> two different types<br />

<strong>of</strong> plant leaves was performed using the Nexus-870 Fourier transform<br />

infrared spectroscopy, and wavelet analysis was adopted to compress<br />

the immense sample data, thus accelerating the data processing<br />

speed .Then the BSS algorithm FastICA algorithm was used on the<br />

compressed spectral data to increase the difference between the different<br />

signals. Finally, BP neural network algorithm was used to achieve<br />

the classification <strong>of</strong> plant species. Experiments showed that processing<br />

data in near-infrared spectroscopy through BSS can not only improve<br />

the speed and accuracy <strong>of</strong> BP neural network, but also enhance its<br />

classification correctness, and the classification results with the proposed<br />

method was satisfactory.<br />

◁ PSaB-83<br />

Defect depth automation measurement based on image processing for<br />

TOFD parallel scanning, pp.4180–4183<br />

Shan, Mingguang<br />

Liu, Shengchun<br />

Harbin engineering Univ.<br />

Harbin engineering Univ.<br />

To get more precise defect depth in parallel scanning <strong>of</strong> ultrasonic time<strong>of</strong>-flight<br />

diffraction (TOFD) technique, a method for automatically measuring<br />

defect depth using defect image data is proposed in this paper.<br />

The method extracts defect image data from B-scan image through a<br />

series <strong>of</strong> image processing to fit a parabolic curve. Defect depth will be<br />

easily obtained by combining the quadratic coefficient <strong>of</strong> fitted parabolic<br />

curve with that <strong>of</strong> formula based on the principle <strong>of</strong> ultrasonic TOFD<br />

parallel scanning. Experiment result shows that the defect depth measuring<br />

error is less than 0.5 mm with this method and demonstrates<br />

strong practicability, high degree <strong>of</strong> automation and high measurement<br />

precision <strong>of</strong> the proposed method, reducing ultrasonic testing workload<br />

<strong>of</strong> the operator.<br />

◁ PSaB-84<br />

The Discussion <strong>of</strong> Semi-structured Sample Modeling on Expanding<br />

2.5D Method, pp.4195–4200<br />

Yu, Shun<br />

Zhang, Tie<br />

Northeastern Univ.<br />

Northeastern Univ.<br />

It is important to build entity modeling which it exists in the outdoor<br />

environment with human activities in the nature increasingly. Outdoor<br />

entity can be divided into structured, semi-structured and unstructured.<br />

This paper uses expanding 2.5D method to model semi-structured entity<br />

which it is very representative. The semi-structured entity can be<br />

divided into simple standard sample, complex standard sample, simple<br />

deformed sample and complex deformed sample in accordance with<br />

half-dimensional information gradual deepening complexity. Analyze<br />

data structure, build sample modeling. After that, build entity modeling<br />

with some operation.<br />

◁ PSaB-85<br />

A Single Chip Multi-functional DDS Waveform Generator based on FP-<br />

GA with SOPC Design Flow, pp.4206–4210<br />

Ruan, Yue<br />

Tang, Ying<br />

Yao, Wen-ji<br />

Wang, Zhang-quan<br />

Xu, Sen<br />

Zhejiang Shuren Univ.<br />

Zhejiang Shuren Univ.<br />

Zhejiang Shuren Univ.<br />

Zhejiang Shuren Univ.<br />

Zhejiang Shuren Univ.<br />

This work presents a highly integrated single chip multi-functional,<br />

multi-waveform signal generator which can generate various waveforms,<br />

with digital controller inside to adapt embedded and low power applications.<br />

The proposed system is composed by Nios II, DDS (Direct<br />

Digital Synthesis) and other peripherals. Nios II is a reconfigurable,<br />

programmable and optimizable s<strong>of</strong>t-core embedded CPU. DDS is used<br />

to generate required waveforms. Together with modern EDA tools, the<br />

system HW/SW co-design and FPGA implementation is accomplished,<br />

using typical SOPC design flow. Utilizing characteristics <strong>of</strong> Nios II, the<br />

core and peripheral logical units that system need are put together and<br />

implanted into a single FPGA chip. The Avalon bus is used to connect<br />

peripheral modules (such as function switch buttons and 7-segment<br />

LED display units) to Nios II’s Avalon bus main port (instruction and<br />

data control port). The realized system is flexible to reduce, extend,<br />

with low power consumption, and has System on <strong>Program</strong>mable Chip<br />

(SOPC) function which means the system’s s<strong>of</strong>tware and hardware is<br />

online programmable.<br />

◁ PSaB-86<br />

Pulse Monitoring System Based on Feedback Algorithm, pp.4211–<br />

4214<br />

An, Peng<br />

Zeng, Ming<br />

Ningbo Univ. <strong>of</strong> Tech.<br />

Tsinghua Univ.<br />

Pulse monitoring system was designed with integrated AD module in<br />

micro-controller chip and the feedback algorithm. HK-2000B-type sensor<br />

was used for collecting the pulse signal. Customize the design process,<br />

some components, the preparation <strong>of</strong> the LCD driver and display<br />

the menu; in addition, by using the results <strong>of</strong> the feedback signal sampling<br />

algorithm improves the measurement accuracy. After a long and<br />

diverse system <strong>of</strong> the test, the accuracy and stability while significantly<br />

reduce the measurement time, with high practical value.<br />

◁ PSaB-87<br />

The Smulation and Model <strong>of</strong> Twisted Lever-arm Effect in Transferalignment<br />

<strong>of</strong> Stradown Inertial Navigation, pp.4235–4240<br />

Pan, Shuang<br />

Navial Submarine Acad.<br />

Based on the theory <strong>of</strong> twisted lever-arm effect, this paper provided a<br />

new model for the lever-arm effect caused by the shipboard weapons’<br />

190

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!