bluuebunny/crossref_metadata_2025 huggingface dataset:
Des poires et un ruban. Petites généalogies du mal (Augustin et Rousseau)
Authors: Thierry Patrick
Published: December 2012

Résumé Les Confessions de Jean-Jacques Rousseau prétendent écarter tout précédent mais le modèle, pour être refusé, est bien là : celles d’Augustin relatent déjà les premières rencontres avec le Mal. Ces rencontres doivent, pour Rousseau, aboutir à sa disculpation, cela au prix de la tâche impossible et sans cesse réitérée d’être, en l’absence de Dieu, tant l’instance qui juge que celui qui est jugé.
Algorithm of Color Detection for Moving Video Objects Based on Mode Matching
Authors: Cai Zhao Quan , Hu Hui , Xu Tao , Luo Wei , He Yi Cheng
Published: December 2012

It is urgent to study how to effectively identify color of moving objects from the video in the information era. In this paper, we present the color identification methods for moving objects on fixed camera. One kind of the methods is background subtraction that recognizes the foreground objects by compare the difference of pixel luminance between the current image and the background image at the same coordinates. Another kind is based on the statistics of HSV color and color matching which makes the detection more similar to the color identification of the human beings. According to the experiment results, after the completion of the background modelling, our algorithm of background subtraction, statistics of the HSV color and the color matching have strong color recognition ability on the moving objects of video.
Cultural-Based Multi-Objective Particle Swarm Optimization for EEG Channel Reduction in Multi-Class Brain-Computer Interfaces
Authors: Wei Qing Guo , Wang Yan Mei , Lu Zong Wu
Published: December 2012

Applying many electrodes is undesirable for real-life brain-computer interface (BCI) application since the recording preparation can be troublesome and time-consuming. Multi-objective particle swarm optimization (MOPSO) has been widely utilized to solve multi-objective optimization problems and thus can be employed for channel selection. This paper presented a novel method named cultural-based MOPSO (CMOPSO) for channel selection in motor imagery based BCI. The CMOPSO method introduces a cultural framework to adapt the personalized flight parameters of the mutated particles. A comparison between the proposed algorithm and typical L1-norm algorithm was conducted, and the results showed that the proposed approach is more effective in selecting a smaller subset of channels while maintaining the classification accuracy unreduced.
2-D Image Matching Based on Global Harmony Search Optimization
Authors: Guan Li Ming , Yang Qian Kai , Lin Jian , Wu Yi Fan
Published: December 2012

A two-dimensional image matching method based on the improved Hausdorff distance and global harmony search optimization is presented in this paper. First, edges are extracted form the original images by the Canny edge detector. Then, a fitness function based on the improved Hausdorff distance is constructed. Finally the global harmony search optimization is adopted to optimize the fitness function. Experiments show that the proposed method is able to locate the object of interest globally and efficiently.
The Improvement of Katsevich Reconstruction Algorithm Based on Cone-Beam CT
Authors: Wang Li Fang
Published: December 2012

The Katsevich reconstruction algorithm based on cone-beam must compute the derivative of projection data in the reconstruction process, but projection data are discrete and haven’t derivative. So the derivatives of the polynomial interpolation function are as approximation of the derivative of projection data. To verify the effectiveness of this method, 3D Shepp-Logan model is reconstructed by the method and the average gradient is used to measure the clarity of image. The experimental results show that this method enables image clearer and improves image quality
An Improved Design of Conducted EMI Signal Suppression in SMPS
Authors: Xu Ping Fan , Chen Zhong Ren , Xiao Xing
Published: December 2012

The conducted EMI problem caused by grounding net impedance has attracted more and more attention in resent years. In this paper, a model of interference system including parasitic capacitance was built. The theoretical feasibility of the measure and the mechanism of the conducted EMI caused by grounding loop were discussed. An improved design of conducted EMI suppression was proposed. Finally, a 100W (20V5A) SMPS was built to verify the effectiveness of this theory and the experimental results were also demonstrated.
Digital Medical Image Enhanced by Stationary Wavelet Transform
Authors: Jie Xiong , Qin Zhang Yan
Published: December 2012

Abstract: When a digital medical image is enhanced by Histogram Equalization, Homomorphic Filtering or multi-scales Retinex, the useful details of the image can not be strengthened. According to the imaging principle and medical requirement, a new method is proposed. The image is decomposed into illumination and reflection by wavelet illumination-reflection model. The details of the reflection are strengthened by soft-threshold method. The dynamic range of the illumination is reduced by Gaussian filtering in order to enhance the image. Experiments and analysis show that the method is obviously better than these algorithms.
Design, Deploy and Signal Analysis of Different Types of CR
Authors: Fan Jing Hui , Zhao Hong Li , Wang Yi
Published: December 2012

In Shuping area, it is difficulty to find enough nature coherent targets to use InSAR technique to monitor the landslide. In order to solve the problem, CRs(Corner Reflectors) were used to improve the effectiveness of this technology. In this article Pyramidal Corner Reflector, Asymmetric Cubic Corner Reflector, Double Direction Asymmetric Cubic Corner Reflector are designed. In order to achieve maximum reflection intensity of CR, it's attitude must be carefully adjusted to match with the SAR imaging parameters exactly. After the CRs were deployed, the strong echo signals can be retrieved from SAR images. Analyzing the SAR image peak signals to locate the CR is the premise of differential processing. Through image location and phase analysis of ASAR and RADARSAT-2, the CRs’ signals can be recognition certainly. During the data processing of ASAR and PALSAR, the CRs can be regarded as ideal coherence target points.
A QRS Wave Detection Algorithm Based on Complex Wavelet Transform
Authors: Wei Wei , Zhang Chun Xia , Lin Wei
Published: December 2012

Objective to introduce a method that use complex valued wavelet transform algorithm for QRS wave group detection in Electrocardiogram signal. It presents a method of marking the crest value and detecting QRS wave group by combining Fbsp wavelet with mexh wavelet. The method is proved to be precise and rapid by applied to detect 10 pieces of the QRS complexes of the ECG 30min-records provided by MIT-BIH Arrhythmia Database.
Surface Reconstruction Method by Photometric Stereovision Based on Oren-Nayar’s Model
Authors: Huang Xin , Wang Xiao Bing , Tong Guang De
Published: December 2012

This article proposes a surface reconstruction method by photometric stereovision based on Oren-Nayar’s model. The classical photometric stereovision reconstructs the surface by the exploitation of Lambert’s model. However Lambert’s model does not take into account the complex geometric and radiometric phenomena such as masking, shadowing and inter-reflections between micro-facets on the surface. Thus this article will improve the photometric stereovision by using Oren-Nayar’s model instead of Lambert’s model. The photometric stereovision based on Oren-Nayar’s model will calculate respectively the energies attenuated by the phenomena of masking, shadowing and the energies produced by the phenomenon of inter-reflections. At last, the surface reconstruction experiments show that the result obtained by this method is more precise than the one obtained by classical photometric stereovision.
Projection Position-Based Sequential Pattern Mining Algorithm
Authors: Wang Wei Na , Li Tao Shen , Zhang Hong Yu , Chen Qing Fengr
Published: December 2012

PrefixSpan algorithm will construct huge amount of projected databases in the process of mining sequence patterns, especially mining dense dataset and long sequence pattern, which will cause decline of the performance of the algorithm. The resource problem can be solved by Projection position-based Sequential Pattern Mining Algorithm so as to reduce time and storage space. In order to avoid producing huge amount of projected databases and reduce unnecessary storage space and scanning time, compared with the others improved algorithm, the PSPM utilizes projected position to locate projected sequence position for mining local frequency items and deletes the non-frequent items. Experiment results demonstrate that PSPM outperforms the PrefixSpan(with pseudo-pro) algorithm in the aspect of Runtime performance.
Area Partition-Based Suppression Algorithm for Contention-Based Forwarding in Mobile Ad-Hoc Networks
Authors: Qin Yu Jue , Ge Zhi Hui
Published: December 2012

Contention-Based Forward (CBF) has proven to achieve a very good performance in mobile ad-hoc networks. Compare with other greedy forward algorithm, CBF is much more robust and have low maintenance network overheads. On the other hand, the main issue of CBF is to avoid packet duplication. Duplication is very easy to occur due to the hidden nodes problem. In this paper we introduce an area partition-based suppression algorithm for CBF in mobile ad-hoc networks. This algorithm sets the transmission area of a node into two areas: suppression area and none-suppression area. In the none-suppression area, the algorithm still use the SS-CBF (Sender Suppression-CBF) algorithm, in the suppression area, this paper will use a new equation to avoid packet duplication. The result shows that the new protocol could reduce the network overheads and do not cost extra transmission time.
The ACA-BP Algorithm Based Controller of PID Neural Network and its Simulation
Authors: Ding Fang , Huang Dong Jian
Published: December 2012

Aiming at the shortages of traditional PID controller, and problems of hardly setting the controller parameters, and the setting time is long, this paragraph gives a design of ACA-BP arithmetic based controller of PID Neural Network. First, uses the Ant Colony algorithm to thickly select the PID neuron network weight parameter. Then adjust parameters online by PID Neural Network and BP algorithm. Finally, we can obtain optimal parameters. The simulation result shows, compared with traditional PID controller, this controller has greatly improved its control performances. This would have some theoretical and practical significance.
A Research on Methane Prediction Model Based on Improved BP-GA Network
Authors: Hao Zhao Ming , Du Jing Yi , Zheng Zhi Chen
Published: December 2012

The amount of methane emission is crucial to the safety of coal mine. The paper proposes the Levenberg Marquardt (LM) algorithm (in the nonlinear least squares algorithms) that can reduce the training time of BP network. Genetic Algorithm (GA) is used to optimize weights in global search to prevent the inherent defects that neural network is liable to get stuck in local minimal points. Furthermore, neural network can prevent the defect of weak GA local search. Finally, BP-GA modal was trained and the sample data were precisely analyzed, which proves that this model features broad adaptability and precision.
The Quantity Optimization of Integrated Testing Vehicle Based on Genetic Algorithm
Authors: Liu Ai Zhen , Chen Li Yun , Du Xing Yue , Gao Xiu Feng
Published: December 2012

The rational number of Integrated Testing Vehicle is the key to decrease missile testing cost and testing time. Based on analyzing the missile testing character, mathematics model was designed and optimal method based on Genetic Algorithm was proposed. Aiming at the question particularity, variable-list encoding method, special cross operator based on one chromosome, special transformation operator and mutation operator were designed. The experimental results show that the optimal solutions of this algorithm can get a perfect balance between cost and testing time, and can meet the character of accurate support in the future war
Time Series Prediction of Landslide Displacement Using SVM Model: Application to Baishuihe Landslide in Three Gorges Reservoir Area, China
Authors: Zhu Chuan Hua , Hu Guang Dao
Published: December 2012

Time series analysis has the ability to forecast the evolve trend of complex systems, which has been the issue in the research of landslide displacement dynamic forecasting. The Support Vector Machine (SVM) regression, we proposed, has been applied in Baishuihe landslide in Three Gorges Reservoir Area, China. The Oracle Data Mining (ODM) PL / SQL API have been introduced to build the SVM regression model for data mining process. The data was divided into two parts, wherein the first 36 months data used for training, and the other 6 months data used for validation. The results show that the error rate of the previous 5 was controlled within 8% and the accuracy of the 6th is 84.1%, which indicates SVM regression is reliable to calculate the displacement factors and can be used in short term prediction of landslide monitoring data.
Grid Task Scheduling Algorithm Based on Non-Conflict Degree
Authors: Qiao Fu , Zhang Yan Juan , Gu Ze Yuan , Wang Juan , Zhang Guo Yin
Published: December 2012

To solve the multi-objective conflict problem of independent task scheduling in grid computing, model the system along the direction of multi-objective gradient, give the model solution procedure, propose grid scheduling algorithm based on multi-objective non-conflict degree, that is, application of gradient ascent method does a quadratic optimization for the global optimal solution obtained by genetic algorithm, compensate for the GA (genetic algorithm) deficiency in the ability of local search. The experiments demonstrate that the proposed algorithm is better than other tasks scheduling algorithms simply using GA.
A Joint Energy Consumption Optimization Algorithm for Hybrid Air-Cushion Vehicles
Authors: Xu Shuo , Sun Cheng Kai
Published: December 2012

Hybrid air-cushion vehicles (ACVs) provide a solution to transportation on soft terrain, whereas they also bring a new problem of excessive energy consumption. In order to minimize energy consumption in a computational manner, a Genetic Algorithm (GA) - Neural Network (NN) joint optimization algorithm is proposed to online calculate the corresponding optimal vehicle running parameters for given soil conditions. This is realized in three steps. (1) The energy consumption index is firstly simplified as a constrained function with respect to only two independent vehicle running parameters. (2) The optimal solutions are figured out offline with respect to some specific soil conditions by the designed GA optimizer. (3) The optimal solutions are figured out online with respect to general soil conditions by the designed NN optimizer, which is trained using the above offline-obtained data. The feasibility of the joint algorithm is supported by experiments, whose results show an effective integration of the GA’s advantage in complex function optimization and the NN’s advantage in generalization ability and computing speed.
Classification of Chinese Herbal Medicine Based on Improved LDA Algorithm Using Machine Olfaction
Authors: Luo De Han , Shao Ya Wen
Published: December 2012

Linear discriminant analysis (LDA) is a popular method among pattern recognition algorithms of machine olfaction. However, “Small Sample Size” (SSS) problem would occur while using LDA algorithm with traditional Fisher criterion if the within-class scatter matrix is singular. In this paper, maximum scatter difference (MSD) criterion and LDA were combined to solve SSS problem, so that three kinds of Chinese herbal medicines from different growing areas were accurately classified. At the same time, the classification result was enhanced. It works out that only a few samples of Anhui Atractylodes are classified incorrectly, however, the classification rate reaches 97.8%.
A Heuristic Algorithm on Solving the Great Group Dividing of Figure
Authors: Zhou Hai Yan , Wen Li Ping
Published: December 2012

The problem of the great group of a figure is the famous NP-difficult problem. There exists an algorithm of solving the great group of figure or only applying to some of the special figure .There need time price is index level, and is low efficiency. It puts forward a kind of solving the minimax group partition algorithm with the most magnanimous nodes for elicitation information. This algorithm can be applied to any simple figure, and the maximum time complexity of algorithm is O(sn3).
Study on Practical Method of Mechanical Engineering Management Based on Virtual Sandbox Approaches
Authors: Men Yu Zhuo , Yu Hai Bo , Wang Hua , Xu Liang
Published: December 2012

The practical teaching method is proposed based on the comprehensive training, applies virtual sandbox in practical teaching of mechanical engineering project management, and makes detailed researches on the advantages of virtual sandbox applied in project management as well as design of practical teaching system, in order to improve the practical ability on project management of students in major of mechanical engineering; it is shown from the results that the method is capable of effectively helping students strengthening vocational skills under teaching mode of comprehensive training and enhancing their overall quality and practical ability.
Using near-Infrared Spectroscopy to Investigate the Amylose Content in Rice
Authors: Rahim Herlina Abdul , Ibrahim Syahira
Published: December 2012

Nowadays, there are many breeding program to improve the quality of rice since the direct measurement (iodine colorimetric) is time consuming, complex and environmentally unfriendly. The objective of this study was to analyze the amylose content (AC) in several types of local rice and import rice in Malaysia. Next is to investigate suitable rice intake for diabetic patient. In this study, non-destructive method by using Near-Infrared Spectroscopy (NIRS) was used to measure the amylose content of single rice grain for milled rice and brown rice. The result showed that the AC for the brown rice was higher than basmati rice followed by local white rice. Therefore, the high amylose content is most suitable for the diabetic patient. Thus, NIRS was a convenient way to screen the quality of rice as well as increase the global competitive for farmers in agriculture field.
Research on the Free Choice Cooperative Learning: Taking the Optical Fiber Circuit Measurement as the Problem-Solving Example
Authors: Juan Chih Yung , Chou Ching Yang , Lin Huann Shyang
Published: December 2012

This study is aimed at exploring how the concept of dynamic routing of the router give light to the cooperative learning, and according to this, Free Choice Cooperative Learning was thus developed to tackle the learning results resulted from the problem of the optical fiber circuit measurement. The research taker adopted purposive sampling by using 15 students as the study object of a particular Technology Institute located on the South of Taiwan and employed two types of score sheets of the optical fiber circuit measurement to collect the pre-test and post-test school record respectively regarding how the case class learn from tackling with the problem of the optical fiber circuit measurement so as to benefit the research taker analyzing on the study result of the study object. And the study findings shows: (A) Free Choice Cooperative Learning achieved a prominent active study result regarding to how the students tackle the problem of the optical fiber circuit measurement; (B) the students of high-scoring and low-scoring group with the values of Free Choice Cooperative Learning show a study result that tackles with the problem of the optical fiber circuit measurement has not yet achieved a prominent divergence. To declare the Free Choice Cooperative Learning context that is endowed with active study result regarding to how to tackle the problem of the optical fiber circuit measurement and will not make any difference due to different values on Free Choice Cooperative Learning.
Design and Implementaion of Data Processing and Control Module in Millimeter-Wave Radiometer
Authors: Zheng Guang Yu , Wu Li , Xu Feng , Peng Shu Sheng
Published: December 2012

This paper introduces a data processing and control module used for a millimeter-wave radiometer. The STM32F103ZET6 is chosen as an embedding control unit for real-time control and data acquisition and processing，and 8-inch touch LCD screen is used for display and input. The data processing and control unit in total-power radiometer with a Dicke-type switch are presented. The hardware structure and software flowchart are designed for this embedding system. The units effectively adjust physical temperature of the radiometer to acquire appropriate output in the radiometer system without inexpensive commercially available parts.
Analysis on the Shielding Effectiveness of Metallic Box with Apertures Based on FDTD
Authors: Gao Yin Han , Gu Jun Jie , Yang Kai Yu , Zhang Hang
Published: December 2012

The SE of the shield is reduced greatly for the existence of aperture in the electronic equipment design process. The shielding characteristic of slot apertures and pore array are analyzed with the method of FDTD, and also put forward the way to increase the SE of the shield. The metallic box of some electronic equipment has been redesigned by applying the conclusion. Practice shows that FDTD method is a fast and efficient method for an aperture question, and the analysis conclusion can be helpful to the electromagnetic shielding design of the metallic box with apertures.
Reliability Analysis of Door Magnetic Switch under Different Permanent Magnetic Distribution
Authors: Yi Xin Hua , Cheng Xiao Min , Wang Min Jun
Published: December 2012

In order to improve the reliability and safety of door magnetic switch, a mathematical model of three reed switches was designed to satisfy this requirement under different permanent magnetic distribution. To obtain the same magnetic adsorption force for the magnetic reed switch, this paper uses a simulation method based on ANSYS software to mainly analyze the different distribution of three permanent magnets how to affect the adsorption force of door magnetic switch. The simulation results demonstrate that the adsorption force is different for different layout of permanent magnet and help to obtain the installing position of the reed switch and to improve the reliability.
A Real Time Measurement for Power System Parameters Based on Zero-Crossing Detection of CPLD
Authors: Wang Bing , Zou Hai Lin
Published: December 2012

A novel design of data acquisition system based on CPLD and DSP coordination control is presented. Verilog HDL is adopted in this system to realize the function of Schmitt trigger on CPLD. Combining with the method of zero-crossing detection, the RMS of signal voltage, current and frequency are effectively calculated. Experimental results indicate that the given method has improved the detection efficiency and computational accuracy.
The New Magnetic Survey Method for Underwater Pipeline Detection
Authors: Liu Yong , Zhang Yu Fang , Yi Hong
Published: December 2012

Magnetic survey has been applied to detect underwater pipeline location, tracking and depth more and more nowadays. In order to detect such smaller targets, besides the application of high-precision magnetometer detector, an effective method especial for underwater pipeline is needed. This paper is to research the magnetic survey method for detecting the underwater pipeline. In terms of its magnetic anomaly characteristic, magnetic sensor array and magnetic anomaly gradient method which can eliminate geomagnetic diurnal variation are adopted to detect the location, tracking and depth of underwater pipeline. Finally, the experiment has shown that this method has good detection accuracy and value in engineering application.
Measurement Range Validation of the Through Casing Resistivity Logging Instruments
Authors: Zhang Jia Tian , Huang Miao Zi
Published: December 2012

This paper introduces the principles of the through casing resistivity logging. By calibration test, the measurement range of the through casing resistivity logging instruments designed by Xi’an Shiyou University has been verified, and the results prove that the performance of this instruments meet its design requirements. The measurement range of the instruments is 0-100 Ohms, and the absolute error is less than 7%.
Algorithm Research on Tower Grounding Resistance On-Line Measurement
Authors: Wang Tao , Li Bing , Yang Hong Xing
Published: December 2012

Traditional transmission line tower grounding resistance measurements have many shortcomings, in order to make up the defects the model of transmission line tower with good conductor wires and multiple grounding leads was builded, and then the algorithm of tower grounding resistance on-line measurement was proposed. On this condition, a system based on this algorithm was designed and further analysis of the error during data processing was conducted. At last, the MATLAB simulation indicates that the algorithm has a accuracy that meets the practical requirements.
Segmentation in Field Emission Image Based on Improved Watershed Algorithm Using Mountain Areas Simulation Method
Authors: Li Zheng Lin , Lai Jia Sheng , Liu Hao , Zhang Yu Wei , Liu Qing Zheng , Wei Ling Nan , Fang Zhi Jie
Published: December 2012

A novel watershed algorithm using mountain areas simulation method to segment the field emission images was proposed for the first time. In the algorithm, field emission sites in the images are compared to many mountaintops. The small fluctuations in the mountains are first erased by filling method. And then the traditional watershed transform is applied to get the mountain areas roughly. At last the parameters of the relative height needed for a mountaintop are used to segment the field emission sites by a series image process of dilation and comparation. This segmentation method is very easy to be accomplished in MATLAB and have high efficiency. Results show that the improved watershed algorithm is feasible in analyzing field emission properties and some other applications.
Voice Activity Based on Noise Estimation in Noisy Environments
Authors: Liu Shi Lin , Pei Zheng
Published: December 2012

An improved project based on decision trees in noisy environments is proposed for robust endpoints detection. Firstly, the noise level of the environment is estimated by wavelet decomposition, and then whether the denoising process is done according to the noise level is determined. Next, the thresholds are obtained by decision trees for the signal. Finally, endpoints are detected by the double thresholds on different importance of the energy and zero-crossing rate (ZCR) in the corresponding situation. The simulation results indicate that the proposed method based on noise estimation can obtain the same accurate data by computing less than the one with decision trees.
Software Development in Frequency Domain Modal Parameter Identification
Authors: Sun Xin Hui , Hao Mu Ming , Li Zhen Tao
Published: December 2012

A modal parameter identification software named as N-Broband is developed in VC++ platform. The software is suitable for EMA and OMA with broband identification feature. Meanwhile it also includes narrow band and selected band modal parameter identification methods. Correlation analysis between experiment and FEA can be performed in N-Broband. The validation of N-Broband is carried out by Test.Lab modal analysis software. The result coincides with Test.Lab very well, which indicates that the developed software can be used in modal analysis of real structure.
A Modal Analysis of Giant Shipbuilding Tower Crane
Authors: Huang Guo Jian , He Cheng Zhong , Wang Xin Hua
Published: December 2012

Old giant cranes in corrosive environment are in serious hidden danger of structural instability and failure, the modal analysis is an important part of dynamics analysis in the Crane Safety Evaluation to guarantee the safety of cranes. A Modal Analysis of a 28-year old 100t giant shipbuilding tower crane was done using ANSYS. Comparing with the vibration frequencies and modal shapes, Modal analysis shows that the Natural Frequency of the crane reduces from 1.0024Hz to 1.0003Hz, beside all the Modal vibration frequencies (first 10 Order) of the crane are lower than the designed value, means the strength of the tower crane has decreased; the Modal Vibration Frequencies (first 10 Order) of the tower crane are between 1 Hz and 2 Hz. The Mmodal analysis provided theoretical basis for safe use, design and transformation of this crane.
A Novel Single-Borehole Radar for Well Logging
Authors: Li Ting Jun , Yang Hai Ning , Zhao Qing , Zhou Zheng Ou
Published: December 2012

An impulse-based single-borehole radar prototype for well logging is presented. An armored multi-conductor well logging cable is used to connect subsurface sonde and surface equipment in the prototype which is well compatible with the other well logging instruments. The performance experiments of the prototype have been conducted in a test field. The results show that the prototype system is capable of detecting the target which is 8 meters away from the borehole.
Denoising and Defect Diagnosis of Material Ultrasonic Detection signal Based on Best Wavelet Packet Base
Authors: Yan Xiao Ling , Dong Shi Yun , Wang Wang Long , Xu Bin Shi
Published: December 2012

The use of ultrasonic nondestructive testing of material internal defect，ultrasonic signal acquired at actual working spot usually includes large amount of noise.Extraction of the defect characteristic information will be influeced greatly if the ultrasonic signal is not effectively denoised. A new method based on best wavelet packet base is present to denoise and detect the ultrasonic signal. The superiority of new method is verified by simulation examples. Experiment of processing ultrasonic signal which comes from the 45 Steel specimen with flaws has been implemented. The accurate information that characterizes of defect size,location can be extracted from the processing result, the results show that the new method based on best wavelet packet base is in favor of enhancing the degree of accuracy for quantitatively analyzing the defect inside the material.
The Realization for Sound Pressure Unit Using Laser Doppler Anemometry in a Travelling Wave Tube
Authors: Li Liang Jie , He Long Biao , Wang Xue Jing , Yang Ping
Published: December 2012

Abstract. To realize the sound pressure unit directly, the method of sound pressure measurement based on acoustic particle velocity was described. In order to get a simple acoustic field, a travelling wave tube was designed. The sound pressure distribution obtained by microphone along the tube was measured. The result showed the acoustic field inside the tube could be considered as travelling wave and the sound pressure is equal to the product of the air density, sound speed and the particle velocity. The laser Doppler Anemometry was used to measure the particle velocity in the acoustic field. The modulated Doppler signal was obtained by measurement system. With the spectral analysis of Doppler signal and the signal model, the particle velocity was obtained with the Bessel function analysis. The comparison of sound pressure measured by microphone and the value deduced from the velocity measured by laser Doppler system shows that deviations between two methods were 0.04 dB at 650 Hz and discrepancies were less than 0.34 dB at frequencies from 300 Hz to 1k Hz.
Remote Data Acquisition and Transmission System Based on GPRS
Authors: Fan Xian Guang , Lu Yang , Hu Zhen Bang , Xu Ying Jie
Published: December 2012

The paper introduces a design of wireless data acquisition and transmission terminal which takes Micro-controller ADuC848 as control center, combining with the Huawei GPRS/GSM wireless transmission module GTM900C. On the server computer designed GPRS data receiving software based on TCP/IP protocol. This system has succeeded in data acquisition and transmission in remote field. This paper describes the general scheme of the system from both hardware and software aspects and concretely introduces the method of remote data acquisition and transmission system, the final operation results of system are also given.
Monitoring of Deformation of Steel Structure-Roof of Football Stadium Slavia Prague
Authors: Litos Jiri , Vejmelková Eva , Konvalinka Petr
Published: December 2012

Monitoring of deformation of structure in large scale in situ is introduced. The steel roof of football stadium Slavia in Prague is a new progressive structure. Realization of the stadium roof was changed over the project, so it was necessary to verify the rigidity of the steel structure in horizontal direction. The experimental investigation was repeatedly conducted in three different stress levels and than monitoring of behaviour of the individual structural elements of the steel structure was compared with the numerical analysis.
Research and Practice on New Measuring and Drafting Mode of Mechanical Drawing Based on Reverse Engineering
Authors: Fang Dong Yang , Zhang Ai Mei , Qiu Yi
Published: December 2012

New mode of measurement and draft in mechanical drawing based on reverse engineering is presented to reflect the idea of modern engineering design on teaching practice. Traditional measurement tools are replaced by three-dimensional scanner, whereas graphics processing is performed by using CAD technology. The processing includes three steps. Firstly, point cloud of part surface shape is obtained through scanning. Secondly, point cloud images are joined, filtered and latticed in Geomagic, which is application software of CAD. Finally, the processed point cloud is imported into Catia to reconstruct surface and three-dimensional geometric model. An innovative method of measurement and draft is accordingly proposed, which combines teaching and practices and helps to cultivate the innovative idea and abilities of students.
Research on Straightening Force Measuring Technology for Pre-Stress Straightening Machine
Authors: Sun Zhi Hui , Chen Wen Yuan
Published: December 2012

This paper introduces the hardware components of the straightening force measuring system for the pre-stress straightening machine firstly. Then finite element analysis is made for the frame of pre-stress straightening machine based on ANSYS Workbench. Relationship between the straightening force and relative strain on the column neutral layer is obtained by using polynomial fit. And this relationship is used to obtain straightening force in the DAQ software. Then the straightening force DAQ software is developed based on LabVIEW. Structure and development process of the software are introduced in details at last.
Test and Simulation Study on Stiffness of Automotive Door
Authors: Ding Hui , Zhou Hong , Ren Yong Lian
Published: December 2012

Automotive door must have adequate stiffness as the important component of an automobile. In this paper, firstly, bending stiffness, torsional stiffness and sinking stiffness of an automotive door were simulated, got the deformation curves of the door in the three conditions. Then an experiment was used to verify the result of finite element analysis. These two methods complemented each other. The stiffness of the door was studied and analyzed by two methods, provided a reference for the improvement of the door.
The Impact of Wavelength Step on Radial Velocity Error
Authors: Zuo Fang , Luo A Li
Published: December 2012

Radial velocity (RV) of a star caused by Doppler shift could be easily measured by cross-correlated it’s spectrum with a serial template. Generally, the RV error of a spectrum always is given by the widths of the cross-correlation function of the target spectrum and related template spectrum. RV error comes from many factors, causing from instruments, observation weather, etc.. In this paper, simulation with different types of stellar spectra, which has different temperature, is implemented. The results show that there is an internal error which is not generated by the calculation steps for a given resolution step, for example, 5km/s error exists in the cross-correlation based RV measurement method for resolution about R~2000. The simulation also proves that this error could not be avoided for any type of stars.
Identification of Eddy Dynamometer in Vehicle Emission Test Based on SMI Method
Authors: Liu Ping
Published: December 2012

The dynamic model of the eddy dynamometer used in the vehicle emission test under driving mode was identified by subspace model identification method. And the state space model was established through experimental design and model order analysis . Comparison with the experiment of lugdown test and residual analysis show that the model is feasible by subspace methods for eddy dynamometer control system. The model built by the identification method has high accuracy, it can be used for the design of the control law with the eddy dynamometer control .and then the simulation accuracy of the driving conditions can be improved.
An Empirical Study on Feature Subsampling-Based Ensembles
Authors: Wei Yan Yan , Li Tao Sheng
Published: December 2012

Feature subsampling techniques help to create diverse for classifiers ensemble. In this article we investigate two feature subsampling-base ensemble methods - Random Subspace Method (RSM) and Rotation Forest Method (RFM) to explore their usability with different learning algorithms and the robust on noise data. The experiments show that RSM with IBK work better than RFM and AdaBoost, and RFM with tree classifier and rule classifier achieve prominent improvement than others. We also find that Logistic algorithm is not suitable for any of the three ensembles. When adding classification noise into original data sets, ensembles outperform singles at lower noisy level but fail to maintain such superior at higher noisy level.
The Electric Quantity Data Acquisition System Based on Wireless Sensor Network
Authors: Wang Jian Nong , Wang Wei
Published: December 2012

This paper introduces an electric quantity data acquisition system based on WSN, and a special algorithm which is used in multi-channel electric data acquisition is also introduced. In this algorithm, a large number of hardware circuits are replaced by software functions, the design of the hardware is simplified, and it is of practical value. The system includes pulse kilowatt-hour meters, Data Acquisition(DAQ), data concentrators , Server and Zigbee network nodes (Router and Coordinator) and so on. This paper explains the structure of Zigbee network, the network features of DRF1605H Zigbee module, the special algorithm of electric quantity data acquisition, the structure of WSN electric quantity data acquisition system, the design of electric quantity data acquisition hardware and software and so on. After designing and implementing this system, the electric quantity data acquisition, the data transmission between each ZigBee node and the ability of anti-interference are tested. The results of each test show that each part of the system works properly and meets the original requirements of the design. From the running condition of the system, the system for electric quantity data acquisition and transmission has some characteristics such as a simple structure, accurate data, a strong anti-interference ability, high reliability of WSN, easy maintenance, good scalability and so on, which indicate it has a promising application future. This system helps to plan the use of electricity and dispatch the power. Not only is the electric energy management automation level improved, but also manpower and material resources are saved, leading to remarkable economical benefits.
An Investigation of Size Effect on Fatigue Property of 3000 MPa-Class Mould Steel Under Ultrasonic Fatigue Testing
Authors: Peng Wen Jie , Long Hui Cai , Yu Li , Xue Huan , Qiu Bao Wen , Zhang Yan Wen
Published: December 2012

Ultrasonic fatigue testing was conducted for 3000 MPa-class mould steel to investigate the fatigue behavior. The fatigue specimen is designed particularly due to the ultra-high strength. Ultrasonic fatigue tests are conduced using two types of specimen sizes and the test results are compared to investigate the size effect on the fatigue property.
The Design of Low Complexity Decoder Based on DVB-S2 LDPC
Authors: Wang Zhong Xun , Yin Shuang Shuang
Published: December 2012

An improved codeword construction method was used to encode the BCH code and LDPC code in this paper according to the latest standard defined by digital video broadcasting standard(DVB), and moreover the data overflow problem was solved. The LDPC code was decoded by the reduced complexity Min-Sum decoding algorithm, in which the coefficient was studied. Fixed-point representation and decoder quantization were proposed and simulation results show that 6-bits and 16-bits uniform quantization can make close to the performance of unquantized decoder, which reduces the decoder complexity for hardware implementation.
Improved Empirical Mode Decomposition Based on Harmonic Wavelet Filter
Authors: Liu Yang , Liu Yong , Yu Shun Jing , Yang Jie Feng
Published: December 2012

The decomposition result of empirical mode decomposition (EMD) may be incorrect if some frequency components of original signal are close to each other. To avoid illusive result and get an exact one suiting for analysis, a harmonic wavelet filtering can be used before the EMD is performed. In the course of application of harmonic wavelet filtering, data was decomposed subsection overlapped to overcome the edge effect of usual digital filter that is caused by data truncation. The experiments showed its feasibility and validity in application of real-time processing.
Palmprint Verification by Scene Matching Approaches
Authors: Zhang Huan , Feng Gui Yu , Hu De Wen
Published: December 2012

This paper presents two novel approaches for palmprint verification by scene match- ing. In a sense, the process of palmprint verification can be regarded as matching one palmprint template with another palmprint sample taken under conditions of different illumination, sensor pose geometry, or types of sensor, and making a decision of whether they belong to the same person or not. Enlightened by the idea of scene matching algorithms, two efficient approaches by scene matching are presented for palmprint verification. A sub-image from the user’s training palmprint is intentionally extracted, and stored as a template. In the verification stage, the sample image is directly matched with the template without the step of ROI (Region of Interest) extraction. Whether the sample image and the template are from the same person or not is decided by their matching scores. Experimental evaluation results on two databases clearly demonstrate the effectiveness of the proposed approaches.
Smart Building Control Based on Wireless Sensor-Actuator Networks
Authors: Li Shan , Fan Chun Xiao , Zou Jun Wei , Zhang Xiao Ying , Wen Zhi Gang
Published: December 2012

Wireless sensor-actuator networks have gained widely applications due to its low energy consumption and increasing energy efficiency and bring flexibility to building control. Firstly, a smart building control prototype system is proposed in this paper. The general purpose is energy saving and emission reduction through the collaboration among a mass of low-cost sensor nodes and actuator nodes. Then, we detail the hardware and software in our building control prototype system. Finally, a set of experiments are presented to evaluate the performance of the proposed scheme key technologies.
Electrical Characteristic Analysis of Electrical Capacitance and Resistance Dual-Modality Tomography Sensor Based on Metal-Wall
Authors: Zhao Jing Chuang , Fu Wen Li , Lei Jing Jie , Qiu Bin , Li Xian Yu
Published: December 2012

The electrical field finite element mathematical model of electrical capacitance and resistance dual-modality tomography sensor has been established. The dual-modality tomography sensors are installed on the different cross-section of the same pipeline with metal-wall. The electrical characteristic of dual-modality sensing fields was analysized. The simulation result of the provided theoretical model is the basis for dual-modality imaging algorithm and information fusion.
Maximum Power Point Tracking Control of PMSG Wind Turbine Based on Action Dependent Heuristic Dynamic Programming
Authors: Song Shao Jian , Zhang Fei Long , Liao Bi Lian
Published: December 2012

Wind turbine system with Permanent Magnet Synchronous Generator (PMSG) is a complex nonlinear system of multi-interference and strong coupling, so its accurate mathematical model is difficult to be built. Due to the randomness of the wind, traditional PID control is often hard to get satisfactory results in the Maximum Power Point Tracking (MPPT) control of the wind turbine. A new adaptive optimization control based on action dependent heuristic dynamic programming (ADHDP) is presented to control the stator current of PMSG. The stator current of the generator can adapt the change of the wind speed, so the MPPT of PMSG can be achieved. Simulation results in Matlab/Simulink show that the ADHDP controller can get better performances than PID controller.
Research on a Direct Generalized Predictive Control for Circulating Fluidized Bed Combustion System
Authors: Lai Hua , Meng Ya Zhe , Qi Ming Jie , Ge Wen Qing , Cui Lin Lin
Published: December 2012

A simulation process and resulting for circulating fluidized bed combustion system was presented. The controlled plant was a 3I3O sub-system, and a direct generalized predictive control was used as controlling algorithm. Satisfying dynamic and steady-state performances are got.
Development of Intelligent Controlled System for Object Special-Shaped Stone
Authors: Xiao Ming Ming
Published: December 2012

A new intelligent control system for a new type equipment of special-shaped stone machining is presented, it can reach high quality of intelligent machining for the special-shaped stone production. The hardware platform use universal IPC as kernel, which consists of IPC, embedded micro-computer system, SCM(Single Chip Micyoco). The CAD/CAM system consists of 3 sub-modules: graphic information processing module, 3-dimention dynamic modeling and simulating module and machining implementing module.
Guaranteed Cost Control Approach for a Class of T-S Fuzzy Descriptor Delay Systems
Authors: Tian Wei Hua , Li Li Xia , Deng Wei , Zhao Yan
Published: December 2012

A new guaranteed cost controller design approach for a class of Takagi-Sugeno (T-S) fuzzy descriptor systems with time-varying delay is presented. Based on the fuzzy rules and weights, the less conservative sufficient conditions for the existence of guaranteed cost controllers via state feedback are given in terms of linear matrix inequalities (LMIs). This method includes the interactions of the different subsystems into one matrix. And the design of optimal guaranteed cost controller can be formulated to a convex optimization problem. At last, a numerical example is given to illustrate the effectiveness of the proposed method and the perfect performance of the optimal guaranteed cost controller.