bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Multiple-Kernel Relevance Vector Machine Based on Kernel Alignment
Authors: Zhao Lv , Su Yi Dan , Qin Hua , Ma Pian Pian
Published: December 2012

The relevance vector machine (RVM) was a Bayesian framework for learning sparse regression models and classifiers, it used single kernel function to map training data from low dimension sample space to high dimension feature space. The prediction accuracy and generalization of traditional single-kernel RVM (sRVM) were not ideal both in classification and regression, so we constructed homogeneous and heterogeneous multiple kernels function (MKF) by kernel function combination in which we testified the validity of basic kernel function (BKF) and its parameters we employed by kernel alignment (KA), then we acquired optimized multiple-kernel RVM (mRVM). Experiment results on LIBSVM datasets not only indicate that both homogeneous and heterogeneous multiple-kernel RVM we constructed possess lower error rate in classification and smaller root mean square (RMS) in regression than single-kernel RVM, but also prove the effectiveness of kernel alignment.
A Network Decomposition-Based Text Clustering Algorithm for Topic Detection
Authors: Meng Zu Qiang , Shen Shi Mo , Chen Qiu Lian
Published: December 2012

Text clustering is one of the most popular topic detection techniques. However, the existing text clustering approaches require that each document has to be partitioned to one and only one cluster. This is not reasonable in some cases for there exist some documents which should not used to constitute topics. This paper firstly models a text document set as a network and designs a method for decomposing such a network, and then proposes a truly original text clustering algorithm for topic detection, called a network decomposition-based text clustering algorithm for topic detection (NDTCATD). The proposed algorithm ensures that meaningless documents can not be used to constitute topics. Experimental results show that NDTCATD is much better than bisecting k-means algorithm in terms of overall similarity and average cluster similarity. Therefore the proposed algorithm is reasonable and effective and is especially suitable for topic detection.
Application of Monte-Carlo Tree Search in Tsumego of Computer Go
Authors: Wang Fang , Peng Ying
Published: December 2012

The Tsumego problem in Go is a basic and essential problem to be overcome in implementing a computer Go program. This paper proposed a reality of Monte-Carlo tree search in Tsumego of computer Go which using Monte-Carlo evaluation as an alternative for a positional evaluation function. The advantage of this technique is that it requires few domain knowledge or expert input.
Multi-Focus Fusion Based on the Imaging Fuzzy Mechanism
Authors: Yue Xiao Feng , Li Tao Shen , Feng Zi Xin
Published: December 2012

This paper put forward an image fusion algorithm which based on the analysis of the imaging theory fusion, the fusion process is first will have been registration of the original image into several pieces, we calculate the correlation of corresponding piece, as the image contrast evaluation criteria, by selecting two images in the clear image block form fusion image. This paper discusses the principle analysis from optical imaging, the cause of the fusion algorithm, to avoid the use of Gaussian Blur model to explain the image of a fuzzy controversy. The experimental results show that the proposed algorithm is good real-time performance, for registration fusion image can achieve even more than general wavelet decomposition of the fusion algorithm.
Position Estimation of Single Camera Visual System Based on Total Least Squares Algorithm
Authors: Zhou Jing , Gao Yin Han , Liu Chang Yin , Li Ji Zhi
Published: December 2012

The position estimation of optical feature points of visual system is the focus factor of the precision of system. For this problem , to present the Total Least Squares Algorithm . Firstly , set up the measurement coordinate system and 3D model between optical feature points, image points and the position of camera according to the position relation ; Second , build the matrix equations between optical feature points and image points ; Then apply in the total least squares to have an optimization calculation ; Finally apply in the coordinate measuring machining to have a simulation comparison experiment , the results indicate that the standard tolerance of attitude coordinate calculated by total least squares is 0.043mm, it validates the effectiveness; Compare with the traditional method based on three points perspective theory, measure the standard gauge of 500mm; the standard tolerance of traditional measurement system is 0.0641mm, the standard tolerance of Total Least Squares Algorithm is 0.0593mm; The experiment proves the Total Least Squares Algorithm is effective and has high precision.
Spectrum Measurement Network Based on Labview
Authors: Mu Shu Juan , Chen De Zhang , Tang Hao , Yang Jing Jing , Huang Ming
Published: December 2012

With the development of wireless application, radio spectrum management and monitoring become a hot spot. In this paper, a spectrum measurement method based on Labview is proposed and implemented. Based on this experimental network, radio spectrum of 20-3000MHz frequency band is measured with horizontal and vertical polarizations. This network possesses the characteristics of good compatibility, openness, and ease of implementation. It has a potential application for next generation of radio monitoring network.
Niche PSO Particle Filter with Particles Fusion for Target Tracking
Authors: Yao Hai Tao , Chen Hai Qiang , Qin Tuan Fa
Published: December 2012

An improved particle filter algorithm is proposed to track a randomly moving target in video. In particle filter framework, a particle swarm optimization improved by niche technique which implemented by restricted competition selection is integrated. It can move particles into high likelihood area of target and form multi-population distribution, so that the searching capability of particles is enhanced and then the adaptation to the change of dynamic target state is improved. The particles of niching particle swarm optimization and the particles of particle filter are integrated for new particle weight calculation and finally realize a new particle filter for target tracking in video sequence.
Cardinality Estimation-Based Adaptive Multi-Tree Splitting Algorithm for RFID System
Authors: Tan Yong , Liu Gui Xiong , Wu Guo Guang
Published: December 2012

This paper proposes a cardinality estimation-based adaptive multi-tree splitting (CEAMS) algorithm. Tag number is estimated by using the depth information obtained from the first tag identification and adaptively assigns the splitting strategy according to the splitting subset rule table. Simulation results show that the average total number of timeslots can be reduced by 65% compared with DBS and the system throughput is about 0.52 when the number of tags ranged from 5 ~ 1000.
GLCM Inspired Fingerprints Segmentation Algorithm with Adaptive Block Size
Authors: Li Hui Na , Luo Jun Li
Published: December 2012

In order to reduce the dependence on the images' sizes, resolutions and qualities, a self-adaptive block size fingerprint segmentation algorithm based on the gray level co-occurrence matrix (GLCM) is proposed. Firstly, the image is divided into a number of non-overlapped rectangular blocks whose size is automatically determined by the mean of the ridge distance from the spectrogram. Then the contrasts of the GLCM of each block in different directions of pixel-pair could be calculated. Since the variances of these contrasts are different for the foreground and the background, finally, the fingerprint image can be segmented correctly. Experimental results show that the proposed algorithm performs effectively in processing images gathered by various fingerprint sensors in diverse environments.
Multi-Modal Medical Image Registration of by Combining Improved Mean Shift and RPM
Authors: Ai Dan , Shi Jing Li , Cao Jun Jun , Zhong Hong Yan
Published: December 2012

Landmark correspondence plays a decisive role in the landmark-based multi-modality image registration. We combine RPM (Robust Point Matching) and improved Mean Shift to estimate the correspondence of landmarks in images. We improve the target mode and bandwidth used in Mean Shift, and we also perform RPM to estimate the initial landmark correspondence. Next, we use improved Mean Shift to adjust corresponding relations between points. Our method is benefit to make corresponding relations between points more accurate and impels the convergence process of RPM to be related to the image content. Experimental results show that our method can achieve accurate registration of the multi-modal images.
Application Study of Fuzzy Comprehensive Evaluation Method on Ammunition Management in Rear Depot
Authors: Zhang Xin Hui , Pan Hong Liang , Yang Shi Liang , Li Teng , Zhang Qing
Published: December 2012

Aiming at the quality of ammunition management in rear depot, this paper determines an evaluation objective system and makes a detailed analysis on its structure. On the basis of this, an evaluation model for ammunition management quality--tree structure model for multi-objective and multistage fuzzy comprehensive evaluation is proposed. Examples are used to demonstrate its evaluation process.
Fuzzy-Neural Networks Based on Subtractive Clustering and its Applications in Soft Sensor
Authors: Sui Yuan Yuan
Published: December 2012

A soft sensor modeling method is presented in this paper，it selects optimal fuzzy rules by tuning the radius of a subtractive cluster center to generate a T-S fuzzy model. The radius of a cluster center is adjusted to select optimal number of fuzzy rules, to acquire a fuzzy model with perfect generalization capability. Then, the parameter is fine-tuned by means of a hybrid gradient descent (GD) and least-squares estimation (LSE) approach. Finally, the method is used to model a PDU Naphtha’s Dry Point, simulation results show that it can determine the optimal model quickly and achieve satisfactory prediction precision.
A Parallel BP Neural Network Based on the FPGA
Authors: Guo Yu Hui , Zhou De Tai , Qian Xiang Ping , Zeng Xian Qiang
Published: December 2012

This paper, with the analysis of BP neural network learning and execution algorithm on single computer unit, a parallel neural network on many computer units is constructed, a system on programmable chip based on FPGA and uClinux is provided. Because it’s flexibility and reliability, this parallel neural network can be widely used where there is a large quantity of data to be processed. In addition to it, the system based on the SOPC has good versatility and easy to transplant because the reconfiguration of the hardware logic and software system.
A Fractal Based Subpixel Image Edge Detection Algorithm
Authors: Luo Yuan , Ji Chao , Zhang Yi , Hu Zhang Fang
Published: December 2012

Application of machine vision method for MEMS dynamic parameters were measured, the testing image have a certain degree of ambiguity.This paper presents a sub-pixel algorithm based on fractal and wavelet transform: Firstly, using self-similar characteristics of fractal interpolation to overcome the problem ,that can not be accurate interpolation and the edge of the image reconstruction. Then because of abilities of high resolution and anti-noise,using wavelet transform modulus maxima,the image edge detection.The experimental results show that the algorithm can reach 0.02 pixel accuracy.
Wavelength Shift Detection Methods Based on Cross-Correlation Analysis for Signal Demodulation of Fiber Bragg Grating Sensing System
Authors: Yang Fan , Wei Biao
Published: December 2012

In order to improve the signal demodulation performance of fiber Bragg grating (FBG) sensing system, a wavelength shift detection method based on cross-correlation analysis is proposed to improve the accuracy of the measurement. The simulation results indicate that the absolute error of the measurement can be between 2 pm - 3 pm within the range of SNR of 14 dB-7 dB. Under the condition with high SNR, the absolute error can be approximately reduced to 0.5 pm. Hence, this demodulation algorithm can reduce the influences of the noises effectively and help to further study the features of the FBG sensor demodulation system.
Optimized Load Distributed of Power Plant Units Based on Branch and Bound Method
Authors: Zhang Li Xiao , Tan Wen , Huang Xiao Bin
Published: December 2012

Power consumption is increasing significantly with the rapid economic development. In order to improve the competitiveness of thermal power plants, the problem of units' optimal load dispatch becomes a hot topic of the research about reducing coal consumption. The branch and bound method is presented to solve the problem based on a load dispatch model with velocity constraint in this paper. Branch can create the conditions for the optimal solution of unit load distribution, bound can improve the search efficiency of the optimal solution [1]. Through the computational Simulation, it proves the method described in the paper has the higher convergence speed and can be better applied to the problem of units' optimal load dispatch.
Studies on the Coordination Reaction of VO2+ and Tannic Acid in the Tannin Extract Desulfurization
Authors: Gao Zhu Qing , Cai Xiao Dong , Ling Kai Cheng
Published: December 2012

At different temperatures, the protonation constants of tannic acid and the complex apparent stability constants between tannic acid and VO2+ were determined by using pH potentimetric method. The results showed that the protonation constants and the complex apparent stability constants slightly decreased with the raising temperature. In accordance with the pH value in the tannin extract technology, the conditional stability constants of the complex were calculated on the basis of the acid effect of tannic acid and the hydrolysis effect of VO2+. It was found that pH greatly affected the stability constants of the complex , so pH must be strictly controlled in the tannin extract technology.
The Application of the Non-Ball Mill for Superhard Refractories
Authors: Li Kun Shan , Li Yang
Published: December 2012

The non-ball mill is a new-type grinding equipmentthat is developed on the foundation of the successful technology of vertical shaft breaker, vertical mill, roller etc., The crushing ratio is big, especially this machine adopts the advanced technology, of which the vulnerable part made up of metal and nonmetal is the first invention in the world, the life-span of the hammerhead covered with porcelain is over ten times than the alloy ’s. it is not only suitable for hard quality supplies but also for soft quality supplies, and the performance for the soft one is even better .
Design and Preparation of Feedstock for SiCp/Cu Powder Injection Molding
Authors: Li Hua Qiang , He Yi Qiang , Qiao Bin , Yang Jian Ming
Published: December 2012

For the purpose of powder injection molding of SiCp/Cu composite, it is studied that the reasonable choice of powder and binder, the determination of powder loading and the pretreatment of powder. Fabrication of feedstock is carried out by experiment, in which some issues are studied such as the temperature of mixing, the mixing sequence, the control of mixing uniformity and the control of oxidation of copper powder during the mixing. The results show that the mixing effect of powder with binder is well; the SiC particles are uniformly distributed in the Cu matrix and no obvious agglomeration of the particles exist.
A Solution Processed ZnO Thin Film
Authors: Hu Yuh Chung , Lin David T.W. , Lee Hai Lin , Chang Pei Zen
Published: December 2012

The effect of Zinc-Oxide (ZnO) thin film annealed in different ambiences is presented. To achieve low cost and environmentally friendly process, ZnO aqueous solution is synthesized by dissolving zinc acetate dihydrate in deionized water directly. Zinc oxide aqueous solution of high solubility and stability is presented. High quality and dense Zinc oxide thin film is formed by spin coating. Annealing temperatures are in the range of 300 °C~500 °C, and annealing ambiences of both air and N2 are discussed.
The Probability Analysis of Human Error in Teaching
Authors: Yang Wei Jun , Jiang Peng Xiao
Published: December 2012

This paper thoroughly analyzed the human error in teaching work of colleges and universities, discussed its causes, mode and consequences, proposed the probability analysis methods. The analysis can be treated as a reference to prevent, control and management human error in teaching work for colleges and universities.
Animation Design and Exploration of Experimental Teaching in Analog Electronic Technology
Authors: Liang Li Kai , Tong Qiang , Yin Yuan Yuan
Published: December 2012

This paper presents a modular experimental animation for experimental course for the analog electronic technology, which is an important means to improve the students' theory and practice. The design includes five modules: experimental purpose,instrument,principle,content and reports.Every module display corresponding content in the form of animation, and modular experimental animation show good interaction and strong operability. Animation design of the experiment has been successfully applied in the Shandong University at Weihai for several years and gets the recognition from the school leaders, teachers and students.
Advantages and Disadvantages of Multimedia Teaching of Fire Combustion Science
Authors: An Zheng Yang
Published: December 2012

The method of multi-media teaching has significant importance in improving classroom efficiency and teaching quality, creating active classroom atmosphere and revealing advanced characteristics of age. However, there is a misunderstanding that we should overcome, in which multimedia teaching is dependent excessively and the traditional teaching method is neglected. This article illustrates the author’s views on the advantages and disadvantages of multimedia teaching in fire combustion science.
Research in Teaching Reform of Digital Signal Processing Course
Authors: Zeng Zhi , Tao Ning , Feng Li Chun , Zhang Cun Lin
Published: December 2012

Digital signal processing is one important fundamental course for the students in the department of electrical engineering. The paper analyzes its teaching status based on the characteristics and problems in the teaching process of digital signal processing course. Combining the analysis and the personal teaching practice, the paper introduces how to reform the teaching methods and improve the quality in the course of digital signal processing, such as choosing a suitable textbook, inspiring students’ learning interest, organizing the teaching content reasonably, and combining multimedia and board writing, etc. Accordingly, students can better comprehend the basics of digital signal processing, and lay the foundation for further studies.
Feasibility Study of Discriminating and Quantifying Low Levels of Melamine Contamination in Fishmeal by Fourier Transform near Infrared Spectroscopy
Authors: Liu Xiao Li , Jia Gang , Wang Mei Qin , Wu Cai Mei , Wu Xiu Qun , Wang Kang Ning
Published: December 2012

This study was conducted to demonstrate the feasibility of Fourier near-infrared spectroscopy (FT-NIRS) to detect and quantifying low concentrations (3.00–1056.80mg kg-1) of melamine contamination in fishmeal and to choose a better chemo metric method by comparing the results of the models based on different chemo metric methods. The qualitative calibration models were established based on PCA-Euclidean Distance and least squares-support vector machine (LS-SVM) respectively and the quantitative calibration models were established based on partial least squares (PLS) regression algorithm and least squares-support vector machine (LS-SVM) respectively. Savitzky-Golay second derivative with smoothing over five points and vector normalization were the best pre-processing methods. A qualitative model, established based on this pre-processing method, was capable of identifying the testing set samples with melamine concentrations higher than 136mg kg-1, with a 100% correct classification rate. Further, the qualitative models based on PCA-Euclidean distance, S-G first derivative with smoothing over nine points and vector normalization pre-processing methods and the frequency ranges of 9099-8246 cm-1 and 7398-6545cm-1 were the best parameters selected by the optimizing process. Quantitative models based on these parameters accurately predicted the samples with melamine concentration of higher than 208mg kg-1, with the mean relative forecasting deviation less than 5%. The model based on LS-SVM was obviously not better than that based on PLS. The results show that FT-NIR can be used to detect and quantify low concentrations of melamine contamination in fishmeal.
Applied Study of Pattern Recognition and Near Infrared Spectroscopy
Authors: Yin Jing
Published: December 2012

According to the status of lacking fast detection technology to adulteration olive oil, the paper presented a new method based on near infrared spectroscopy technology and pattern recognition. 10 samples of pure olive oil were collected. 2 kinds of adulteration samples were respectively made up with soybean oil and rapeseed oil. The Identification models were build respectively by support vector machines and hierarchial clustering. The result showed that the model’s performance built by SVM was better than the model by hierarchial clustering. The recognition ratio and prediction ratio of SVM were 100%.The experiments shown that the fast detection technology based on NIR and pattern recognition had better feasibility and practicability in identifying adulteration olive oil.
Experimental Study on Insulators Pollution Detection with Microwave Radiometer
Authors: Zhao Quan Xiang , Wang Fang Zong , Lin Xiu Qin , Liang Jia Sheng
Published: December 2012

Insulator contamination threatens grid safety. And insulator pollution detection can prevent accident occurrence. An invented insulator pollution detector based on microwave radiation is introduced in the paper. The result of testing on-site high-voltage insulator pollution with the detector compared with ESDD and NSDD. And the comparison results indicate the insulator pollution detector can test high-voltage insulator pollution.
Acoustic Modal Test and Finite Element Analysis on Vehicle Cavity
Authors: Hou Wei Ling , Zhou Hong , Wang Si Le
Published: December 2012

A cavity acoustic modal of a medium-sized commercial vehicle was tested and analyzed based on LMS Test.Lab modal analysis system. Acoustic modal characteristics, including modal frequencies and modal shapes of the cavity, were obtained. By comparing the results of acoustic modal frequencies to the structure modal ones, the acoustic-structure coupling at critical frequencies could be avoided and the noise in low frequency range could be reduced. Meanwhile, the simulation of the acoustic modal is analyzed by establishing the finite element model of the cavity, which may be a reference to improve the interior acoustic properties of the cavity.
Research on 3mm Band Radiometric Brightness Temperature Inversion
Authors: Zhang Guang Feng , Wang Qi , Lou Guo Wei
Published: December 2012

A MMW radiometer is widely used in remote sensing and guidance. In order to obtain the real brightness temperature distribution of the target, we need to solve the first kind of ill Fredholm integral equation of radiometric antenna temperature. The paper presents a kind of inversion method for modifying antenna pattern and the approach of error compensation. Compared with the theoretical calculation model of 3mm smooth water surface, the results show this algorithm has a higher accuracy for the measurement application.
Experimental Resistance Measurement on Solid-Liquid Two-Phase Flow in Microchannel
Authors: Liu Yong Hong , Choi Je Eun , Takei Masahiro , Wang Xian Tao
Published: December 2012

Monitoring the flow behaviour on the micro-scale is very important in many industrial and biochemical process, the multiphase coexistence in microchannel provide many attractive characteristics compared to a single-phase flow. The precise flow rate control and well-defined channel geometries make it possible for us to make detailed investigation on multiphase flow phenomena. This paper aims at the measurement of resistance distribution in the cross-section of a novel microchannel based on the Agilent measuring instruments. Experimental results verified the possibility of estimation on particle concentration in the solid-liquid two-phase flow by the measurement of resistance distribution in the microchannel.
Theoretical Analysis of Instantaneous Microwave Frequency Measurement Using Microwave Phase Shift Detection
Authors: Zhang Xiao Min , Cheng Ping
Published: December 2012

In modern warfare, it is important to estimate the frequency of some unknown microwave signal. In this paper, we present a novel microwave frequency measurement scheme based on the detection of phase shift of the unknown microwave signal. We theoretically deduced the formula that could prove the feasibility of our proposal, and came up in the end of the paper with the experimental setup that could be used to consolidate our proposal.
Design and Implementation of Ultrasonic Ranging System
Authors: Mao Cui Li , Wang Er Hua , Lin Hong Qi
Published: December 2012

A real-time and high precision ultrasonic ranging method is proposed here. Ultrasonic ranging system based on MCU was established, which is composed of MCU, ultrasonic sending and receiving circuit, temperature compensate circuit, alarm, key and display circuit. Counting pulse method was used to measure the ultrasonic transmission time, and then the distance is calculated. In order to improve the ranging accuracy, temperature compensation was used in this system. Preliminary experiment showed that the system meet the requirements. This system has advantages such as low price, small volume, reliable operation, high accuracy, and can be employed in car backing, obstacle avoiding of robots, industrial logging, reservoir level measuring etc.
PCA Feature Selection For Recognition of Chatter Gestation
Authors: Shao Qiang , Feng Chang Jian , Kang Jing
Published: December 2012

A SVM(Support Vector Machine)-like framework provides a novel way to learn linear principal component analysis (PCA), which is easy to be solved and can obtain the unique global solution. SVM is good at classification and PCA features is introduced into SVM. So, a new recognition method based on hybrid PCA and SVM is proposed and used for a series of experiments on chatter gestation. The results of chatter gestation recognition and chatter prediction experiments are presented and show that the method proposed is effective.
Design and Application of Aeolian Vibration Monitoring System for Overhead Transmission Line
Authors: Tong Bu Sheng , Lv Yu Xiang , Yang Bei Ge , Xue Hui , Zhi Shan
Published: December 2012

Aim at the shortage of traditional Aeolian vibration fatigue tests and theoretical models for transmission line, the Aeolian vibration monitoring system of transmission line based on the ZigBee wireless network was designed. The system transfer real-time field data of meteorological factors, tension of conductor and acceleration of monitoring nodes to background computer. The line vibration curve integrated directly from the acceleration sensor recorded data will present a serious problem of baseline drift. Therefore, based on least-square theory, a new baseline correction method is proposed to eliminate effect on drifts, and then obtain distortion less vibration curve of transmission line by twice integrations. The system running results show that track fitted with monitoring data is in good agreement with the real recorded trajectory. The system can satisfy the needs of the real time monitoring on transmission line site and be well applied to the calculation of conductor fatigue damage.
Vibration, Sound and Thermal Analysis as a Condition Monitoring Methods for Electric Motors
Authors: Orman Maciej , Pinto Cajetan
Published: December 2012

This paper presents a comparison of different measurement techniques for condition monitoring of electric motors. Results are presented for vibration, acoustic and thermal analysis. Vibration signals were measured by piezoelectric accelerometers, acoustic by microphones and temperature data was collected by an infrared camera. Two induction motor cases were examined – healthy motor case and combination of static eccentricity with soft foot case. Vibration monitoring is a well known technique used in condition monitoring and in this work vibration measurements were used as a reference signal for assessment of the value of acoustic and thermal measurements. As presented in result section both acoustic analyses as well as thermal images appear as valuable techniques for condition monitoring of electric motors. All the measurements where conducted in an industrial environment.
Study of DEM Generation Method Based on Multi-Baseline Image Sequences in Alpine-Gorge Areas
Authors: Li Hao , Chen Shu , Su Bo , Yang Biao
Published: December 2012

Due to the peculiar terrain of Alpine and Gorge Areas, traditional measuring method is difficult to adapt. We studied on a DEM generation method based on multi-baseline image sequences including an initial value estimate method of relative direction elements based on the perspective transformation and a matching method of image sequences based on virtual epipolar plane. The experiment proves that the convergence and accuracy of relative orientation can be effectively improved by estimating the initial elements with perspective transformation. In matching process, the matching points are transferred through virtual epipolar plane. So that, we can decreased calculation redundancy and obtain multi-overlap corresponding points rapidly and accurately.
The Compass Time System and its Interoperation
Authors: Dong Shao Wu
Published: December 2012

We report on the time reference system of Compass global satellite navigation system and its interoperation with other GNSS’s. China has sent three satellites into geostationary orbit since 2000, and Compass Navigation Test System has been established. Compass time reference, named as BDT, is based on Atomic time, BDT is derived from the atomic clock ensemble in Compass ground control centre, and be traced to the international time, UTC. Interoperability is one of the most important aspect in the design of Compass timing system, a solution of time differences determination among BDT and other GNSS time scales are introduced in this paper.
The Application of IBIS-L Remote Monitoring System for Micro Deformation of Terrain in Dam Safety Monitoring
Authors: Wang Wan Shun , Tian Dong Cheng , Sun Jian Hui , Jiang Long , Rao Hai Bin
Published: December 2012

IBIS-L is an advanced remote monitoring system based on microwave interferometer, which integrates the interferometric survey, stepped frequency- continuous wave and synthetic aperture radar. IBIS-L can do high precise, large range, Omni-directional, real-time and remote displacement monitoring. The system can be widely applied in the monitoring of small-displacement changes in the dam, mountain, slope, surface, buildings and bridges[1]. The monitoring technology can get the displacement changes of every part, analyze the deformation mechanism and characteristics and forecast the disaster of dangerous region timely. So it can provide a reliable basis for disaster prevention, greatly reducing or avoiding the loss on people's life and property. We introduce the external deformation monitoring process and outcome of IBIS-L in a hydropower station dam and provide a useful reference for the application of IBIS-L to the similar dam.
A Method for InSAR Baseline Refinement Based on CR
Authors: Zhao Hong Li , Fan Jing Hui , Fu Shu Chang , Guo Xiao Fang
Published: December 2012

Interferometric baseline plays a very important role in InSAR data processing, and it will directly affect the accuracy of interferometric result. Shuping area is covered by all of vegetation, so the coherence is very low. In Shuping area, it is very difficulty to generate clearly residue stripe to use the FFT method and to find natural coherence pixels points as GCP to refine the baseline to meet the need of monitoring the deformation accurately. But through CR stability phase information can be got. So It is also highlights to the apply CR in this region to refine the baseline parameters. In this article, the baseline got from coarse orbit file is regarded as initial value, and that got from precise orbit file is regarded as True. By comparing and analyzing the parameters of refined baseline with that of the precise baseline, it can be concluded that the refined method based on CRs is correct and feasible.
A GNSS IF Signal Simulator Based-on FPGA
Authors: Huang Miao , Kong Xue , Lu Wei Jun , Yu Dun Shan
Published: December 2012

A GNSS digital IF signal generator plays an important role in designing and testing modules and algorithms of a GNSS receiver. In this paper, a design of GNSS IF signal generator is described, which can integrate many kinds of GNSS simulated signal such as GPS, BeiDou, and GLONASS. This design can be configured by software flexibly to every kind of GNSS signal mode, so the complexity and cost of circuit are reduced. It can also avoid using the expensive simulated signal. The key logic circuits design is implemented in one FPGA chip. The implement method and simulation result on FPGA is shown at the last of the article.
An ENVI+IDL+ArcEngine Tool for Detecting Harmful Algal Blooms in East China Sea
Authors: Zeng Chen , Xu Hui Ping , Zhang He Xia
Published: December 2012

This paper designs and develops a tool for detecting HABS from ENVI+IDL+ArcEngine. With a friendly and artistic interface offered by third party control, this tool provides a function of HABs monitoring in East China Sea via Remote Sensing Images inversion. Through rows of buttons on the menu bar, this tool allows calculating spectrum reflectance, browsing field work data, interpolating in situ measurement data, retrieving water property parameters, and detecting HABs position by the threshold of chlorophyll-a and sea surface temperature. Data management module programmed in Structured Query Language (SQL) in our tool simplifies the data process and stores a large amount of information. This paper elaborates the original design, functional modules, and multi data sources that gives a general view toward this tool.
Optimal Selection of Long Time Acoustic Features Using GA for the Assessment of Vocal Fold Disorders
Authors: Ravindran Sindhu , Siew-Chin Neoh , Muthusamy Hariharan
Published: December 2012

In recent times, vocal fold problems have been increasing dramatically due to unhealthy social habits and voice abuse. Non-invasive methods like acoustic analysis of voice signals can be used to investigate such problems. Various feature extraction techniques are used to classify the voice signals into normal and pathological. Among them, long-time acoustical parameters are used by many researchers. The selection of best long-time acoustical parameters is very important to reduce the computational complexity, as well as to achieve better accuracy with minimum number of features. In order to select best long-time acoustical parameters, different feature reduction methods or feature selection methods are proposed by researchers. In this work, genetic algorithm (GA) based optimal selection of long-time acoustical parameters is proposed to achieve higher accuracy with minimum number of features. The classification is carried out using k-nearest neighbourhood (k-NN) classifier. In comparison with other works in the literature, the simulation results show that a minimum of 5 features are required to classify the voice signals by GA and a better accuracy of 94.29% is achieved.
Advanced Prediction of Surface Roughness by Monitoring of Dynamic Cutting Forces in CNC Turning Process
Authors: Tangjitsitcharoen Somkiat
Published: December 2012

The aim of this research is to investigate the relation between the surface roughness and the dynamic cutting force ratio during the in-process cutting in CNC turning process. The proposed surface roughness model is developed based on the experimentally obtained results by employing the exponential function with five factors of the cutting speed, the feed rate, the tool nose radius, the depth of cut, and the dynamic cutting force ratio. The dynamic cutting force ratio is proposed to predict the surface roughness during the cutting, which can be calculated and obtained by taking the ratio of the corresponding time records of the area of thedynamic feed force to that of the dynamic main force. The in-process relation between dynamic cutting force ratio and surface roughness can be proved by the frequency of the dynamic cutting force which corresponds to the surface roughnessfrequency. The multiple regression analysis is utilized to calculate the regression coefficients with the use of the least square method at 95% confident level. The proposed model has been verified by the new cutting tests. It is understood that the developed surface roughness model can be used to predict the in-process surface roughness with the high accuracy of 90.3% by utilizing the dynamic cutting force ratio.
LabVIEW Based Data Analysis for Automotive Steady Static Circular Test
Authors: Li Hai Feng , Luo Yu Zhi , Zhang Xiao Long , Zhao Pengju
Published: December 2012

Motor vehicle’s controllability and stability were its fundamental performances, of which the steady state circular test (i.e. SSC) was most important, and become the basis of motor vehicle’s dynamics stability control. In this paper, two group of typical SSC data of one motor vehicle were employed and processed by the graphical programming language LabVIEW software, then the curves (Ri/Ro)-ay, (1-2)- ay and - ay were obtained. According to the curve analysis and related rules and regulations, the lateral acceleration of neutral steering an, understeering gradient U, and the vehicle body rolling rigidity K were resolved, so we could get the motor vehicle’s SSC performance comprehensive evaluation value. The work in the paper constructed a platform for vehicle’s controllability and stability study conveniently and efficiently.
Surface Parameterization for the Shape Analysis of Tube-Like Objects
Authors: Yao Li Feng , Ouyang Jian Fei , Ma Xiang
Published: December 2012

In bio-medicine and other fields, shape analysis is very important for diagnosis of diseases and prediction of shape variation. This paper focuses on the surface parameterization of tube-like 3D objects to obtain and analyze shape information from a sample shape, including its size and the shape variation between different samples. It can well represent the global and local shape information for statistical analysis and for the construction of Medial Shape Model. Firstly, we extract the axis curve of the object by a heat conduction model. Secondly, we obtain the latitude circles by using the normal planes to cross the surface. Then we get the final parameterized surface with quad-dominant meshes by registering the points of single latitude circle and between different circles through coordinate transformation and alignment. Subsequently, we apply the approach to parameterization of a rib bone.
Research on River Channel Terrain Measurement Method Based on Binocular Vision
Authors: He Pan Li , Liu Wen Lin
Published: December 2012

For the existed river channel terrain measurement method defects such as complex measurement process and high performance equipments requirement, in the paper a terrain measurement method based on binocular vision is proposed. Firstly, in proposed system binocular vision measurement parameters are calculated on the basis of monocular calibration; secondly, artificial signs are located in river channel and detected based on improved Harris corners detection algorithm; thirdly, the feature corners in binocular images are matched based on epipolar constraint and SIFT algorithm; finally, for corrected images feature corners location method is proposed, and the river channel terrain is measured. Experiments show that in the proposed method the river channel terrain can be measured accurately, and the method has good reference value to measure other irregular scenes.
A Novel Markov Model and its Application to BIT System
Authors: Zheng Wen Rong , Wang Shu Zong
Published: December 2012

Intermittent fault is the main factor for the raise of false alarm during the process of the detection in built-in test (BIT). Two-state Markov model and three-state Markov model for test is built for system fault diagnosis with BIT. According to the application of BIT in some complex system, a comparison of the false alarm rate between two-state Markov model and three-state Markov model is present, which shows we can reduce the false alarm rate (FAR) and improve fault detection rate by using three-state Markov model in BIT.
Attenuation Characteristics of Sound Wave in Silicon Dioxide ER Fluid
Authors: Fan Ji Jun , Yu Nan Hui
Published: December 2012

The sound attenuation in ER fluid was experimentally studied. The results show that sound attenuation of ER fluid could be adjusted by the particle concentration of ER fluid and the intensity of electric field. Amplitude of sound wave in ER fluid increases with the increasing of particle concentration and field intensity; on the other hand, the attenuation of sound wave decreases with the increasing of propagation distance, as well as the particle concentration and field intensity. The experimental results indicate that the solidification effect of ER fluid is beneficial to the propagation of sound wave.
Context-Aware Monitoring of Cardiac Health
Authors: Wu Han Xiao , Ji Lian Ying , Wu Jian Kang
Published: December 2012

As the technology of sensor network advances, wearable health monitoring becomes feasible. Here we present a context-aware monitoring system for cardiac health, which consists of three modules: signal acquisition for physiological signal as well as context information; processing, analysis and interpretation of signal modality as well as fusion of context to generate cardiac health indices; interface for human-machine interaction. Both captured original data and analysis results are stored in an SD card for further processing in the server. The system works continuously for 24 hours. The proposed cardiac health indices can be applied for health status monitoring and early prediction of cardiovascular disease.
3D Accuracy of Deciduous Tooth Model Reconstructed from CBCT Scan
Authors: Li Hong Bo , Liu Lin , Gao Yu Xuan , Shi Xiao Wei
Published: December 2012

Objective To assess the three dimensional (3D) accuracy of deciduous tooth surface model reconstruction from cone-beam CT(CBCT) scans using image superimposition method. Methods 14 sound extracted human deciduous teeth were scanned by micro-CT and CBCT scanner. The digital tooth models reconstructed from CBCT scans were superimposed onto the standard model from micro-CT scans respectively. Distribution patterns of shape discrepancy were presented using histogram, as well as shown in different colors on the superimposed images. The voluminal discrepancy versus the volume of the standard image (RVD/VS) were calculated and analyzed, using t test. Results There was no statistically significant difference between deciduous anterior teeth and molars(P>0.05). The mean RVD/VS of digital tooth images obtained by CBCT scans was 3.932±4.038%, and significant difference were found (P<0.01), compared with the standard tooth model from micro-CT. Marked by different colors, the superimposed images could give visualized information on the dimensions and distribution patterns of discrepancies. Histogram gave the statistical description about the numbers and magnitude of the discrepancies. Conclusions The superimposition method and the concept of RVD/VS are recommended for 3D accuracy evaluation. CBCT is of high accuracy for tooth modeling and suits for clinical and research purpose.
The Ultrasonic Wave Method to Pile Test and Detection Analysis of a Complex Building
Authors: Chen Chang Liu , Zhu Yan Peng
Published: December 2012

The ultrasonic wave method was presented to pile test on the complex building engineering of China Mobile Group Gansu Co.,Ltd. The basic theory, tesing method of pile and judgment standard about the ultrasonic wave method are analyzed.
Double Feature Combination: Region Contrast for Visual Salient Object Detection
Authors: Sun Zhi Hai , Song Teng , Zhou Wen Hui , Zhang Hua
Published: December 2012

Visual saliency detection has become an important step between computer vision and digital image processing. Recent methods almost form a computational model based on color, which are difficult to overcome the shortcoming with cluttered and textured background. This paper proposes a novel salient object detection algorithm integrating with region color contrast and histograms of oriented gradients (HoG). Extensively experiments show that our algorithm outperforms other state-of-art saliency methods, yielding higher precision and better recall rate, even lower mean absolution error.
Measurement and Evaluation of the Wearing Condition of the Tire Tread
Authors: Yang Yong Yue , He Liang Liang
Published: December 2012

According to the tire structure and surface morphology characteristics, the laser vision sensing technology was used to measure the wearing condition of the tire. Scan to obtain the depth parameters of the wearing tire tread and the experimental data was compared with the theoretical data of the tire before worn to obtain a comprehensive evaluation. Based on the discussion of the composition and structure of the system, the testing method, the software control, error analysis and compensation, the measured results were further analyzed.
Establishment and Instrumentation of a Full Scale Laboratory for Thermal and Hygroscopic Investigations of Soil Behavior in Cold Climates
Authors: Sveen Svein Erik , Sørensen Bjørn R
Published: December 2012

This study presents the establishment and instrumentation of a laboratory for investigating how different soils behave under controlled conditions in cold climates. Ground conditions are extremely important in regards to the building sector. Establishing new infrastructure and buildings require high competence about the ground/soils in order to build robust and long lasting foundations and constructions. In cold climates, soils are frequently exposed to freezing and thawing cycles, and building projects often require additional resources compared to similar projects further south. During 2009-2010, a new laboratory was established in Narvik, Norway. The laboratory consists of 4 different 6x6m bins containing different homogenous soils down to a depth of 3m. A special designed measurement frame has been placed inside each bin, which facilitates instrumentation for thermal and hygroscopic measurements. The laboratory has many applications which may lead to advances within knowledge about thermal response of soils, artificial thawing for more efficient building in cold climates, faster dehydration and curing of concrete during winter, improved road foundations and preventing frost heaves and so on. This study describes the laboratory setup and presents test measurements on thermal responses of sand, silty sand and gravel during artificial thawing using a hydronic thawing system.
Design of 3780 Points FFT Processor for DTMB Receiver
Authors: Dai Lan , Hui Xin , Sun Tao
Published: December 2012

In this paper, a design of FFT processor for Digital terrestrial multimedia/television broadcasting (DTMB) receiver is presented. This processor is based on mixed-radix algorithms, prime factor algorithms and Winograd Fourier Transform algorithm (WFTA). Due to the adopted in-place algorithm in this design, the area consumption of the processor is reduced, and the simulation shows that SQNR of the processor is 60.5dB on the condition that the input and output data are both 13 bits.