bluuebunny/crossref_metadata_2025 huggingface dataset:
The Prediction of Energy-Saving Indicators of Oilfield Based on the QPSO Optimized LS-SVR
Authors: Liang Ji Sheng , Ma Ming Mei , Yuan Zi Bo
Published: March 2014

According to the prediction of energy-saving indicators of oilfield, proposed a prediction model based on QPSO optimized LS-SVR. In order to improve the prediction accuracy and speed, described the complex nonlinear relationship of predictors and factors by using LS-SVR, and optimized the parameters of LS-SVR through improved QPSO. The training data is oil production and liquid production of production data of oil production plant. The prediction result shows that, the model can achieve higher accuracy, so the method is effective and feasible.
Anisometry Anterior Cruciate Ligament Sport Injury Mechanism Study: A Finite Element Model with Optimization Method
Authors: Li Na , Wu Song , Wang Wei , Ye Bin
Published: March 2014

ACL damage is one the most frequent causes of knee injuries and thus has long been the focus of research in biomechanics and sports medicine. Due to the anisometric geometry and functional complexity of the ACL in the knee joint, it is usually difficult to experimentally study the biomechanics of ACLs. Anatomically ACL geometry was obtained from both MR images and anatomical observations. The optimal material parameters of the ACL were obtained by using an optimization-based material identification method that minimized the differences between experimental results from ACL specimens and FE simulations. The optimal FE model simulated biomechanical responses of the ACL during complex combined injury-causing knee movements, it predicted stress concentrations on the top and middle side of the posterolateral (PL) bundles. This model was further validated by a clinical case of ACL injury diagnosed by MRI and arthroscope, it demonstrated that the locations of rupture in the patients knee corresponded to those where the stresses and moments were predicted to be concentrated. The result implies that varus rotation played a contributing but secondary role in injury under combined movements, the ACL elevation angle, is positive correlated with the tensional loading tolerance of the ACL.
Research on Algorithm of Gauss Curvature on Space Mesh Points of Battlefield Large-Scale Terrain and its Visualization
Authors: Liu Shi Bin , Wang Cheng , Yang Yan Ping , Liu Xing Yan
Published: March 2014

This paper discusses the calculation method of Gauss Curvature on space mesh points in simplified level-of-detail (LOD) model technique and how to program with C# language at the platform of .NET. Then, with this algorithm, get the curvature value of the mesh points, delete the center point of the small curvature and triangularize the cavity left so as to realize the simplification of the LOD model. In order to show the result of this algorithm, this paper visualizes the LOD model of the three-dimensional terrain model in full detail with Gauss Curvature Algorithm, puts forward the idea of carrying out error analysis on the algorithm with the geometric property of curvature, and compares the result with that with other algorithms. All the example and the error analysis show that this algorithm is not only of fast speed but also with good effect.
Constraint Tracking Error for Investment Portfolio Optimization Model and Algorithm of VaR in Additional Transaction Costs
Authors: Zheng Dong , Liang Xi Kun
Published: March 2014

Based on the uncertainty of covariant matrix and value of expected return in risk assets, constraint tracking error for investment portfolio optimization model of VaR in additional transaction costs is constructed in this paper. The validity is proved by using the method of linear matrix inequality. According to empirical analysis, the results of different investment models are analyzed and compared with the one gotten by the method in this paper. It is concluded that the distribution of weights of the model in this paper is more reasonable and its final return is better than other models. Moreover, it may be closer to the modern financial markets for its transaction cost.
Improved Particle Swarm Optimization Based on the Geometric Analysis of Single Particle
Authors: Ao Yong Cai , Shi Yi Bing , Zhang Wei , Li Yan Jun
Published: March 2014

To enhance the ability of the standard Particle Swarm Optimization (PSO) on solving the complex nonlinear problems, an improved algorithm with independent inertia weight for each particle was proposed in this paper. Firstly, a single particle of the particle swarm was studied. The law of the instantaneous movement of single particle at each iteration was analyzed in a novel geometric view. Two importance conclusions were drawn: 1) The introduction of the two random numbers makes the particle search in a broad parallelogram area, while the product of the inertia weight and the particles present speed is the parallel shift of the aforementioned parallelogram area; 2) The search ability will be greatly reduced as soon as a particle becomes the Global Optimal Particle (GOP). Then, on the ground of the significant conclusions, the improvement plan of the standard PSO was put forward. Experiments show that the proposed algorithm has obvious superiority on the convergence ratio, the convergence speed and the convergence stability.
Event Step Method on Computer Simulation of Discrete Event System
Authors: Hu Li Ping , Wang Dong Mei , Zuo Lei
Published: March 2014

Discrete event system is driven by event, and system status is discrete on time and space, so it is difficult to solve by using equation model and theoretical analysis method. Computer simulation technique provides an effective mean in order to solve these problems. Contents of this study provide technical and methodological support for computer simulation of discrete event. Firstly, the paper illustrated the basic concept of discrete event system; then, time step method mechanism described by mathematical model and graphical method; finally, we can research on the control flow of event step method when it promotes simulation, and then describe the three scanning methods of event step method, the first is clock value of type event; the second is clock value of dominant entity; the third is event tables. The result showed that the simulation model constructed by event step method has the advantages of short running time, the implement of program easily and so on.
Cubic Uniform B-Spline Curve and Surface with Multiple Shape Parameters
Authors: Wang Xi , Gao Cui Cui , Jiang Chen
Published: March 2014

In order to construct B-spline curves with local shape control parameters, a class of polynomial basis functions with two local shape parameters is presented. Properties of the proposed basis functions are analyzed and the corresponding piecewise polynomial curve is constructed with two local shape control parameters accordingly. In particular, the G1 continuous and the shapes of other segments of the curve can remain unchangeably during the manipulation on the shape of each segment on the curve. Numerical examples illustrate that the constructed curve fit to the control polygon very well. Furthermore, its applications in curve design is discussed and an extend application on surface design is also presented. Modeling examples show that the new curve is very valuable for the design of curves and surfaces.
A Research on the Improved Information Fusion Algorithm
Authors: Zhang Guo Dong , Qi Rui Min
Published: March 2014

In the field of information confusion, evidence theory takes advantage of its uncertainties. But in practical evidences are always mutually independent, However, multi-source information fusion is a comprehensive integration and then obtaining decision-making, sometimes the result of information fusion give us wrong conclusion. So an improved information fusion algorithm is proposed in this paper. It can heighten the information confusion reliability and accuracy in a practical example.
Large-Scale Text Clustering Based on Improved K-Means Algorithm in the Storm Platform
Authors: Wu Sheng Hang , Wang Zhe , He Ming Yuan , Dong Huai Lin
Published: March 2014

With the web information dramatically increases, Distributed processing of mass data through a cluster have been the focus of research field. An efficient distributed algorithm is the determinant of the scalability and performance in data analyses. This dissertation firstly studies the operation mechanism of Storm, which is a simplified distributed and real-time computation platform. Based on the Storm platform, an improved K-Means algorithm which could be used for data intensive computing is designed and implemented. Finally, the experience results show that the K-Means clustering algorithm base on Storm platform could obtain a higher performance in experience and improve the effectiveness and accuracy in large-scale text clustering.
Convergence of Matrix Relaxed Multisplitting USAOR Method
Authors: Wang Yan Ping , Zhang Li Tao
Published: March 2014

Relaxed technique is one of techniques for improving convergent rate of splitting iterative methods. In this paper,we study the convergence of both local relaxed parallel multisplitting method associated with USAOR multisplitting for solving a large sparse linear system whose coefficient matrix is anH-matrix.
An Anti-Maloperation System by Improved Chaos Immune Genetic Algorithm
Authors: Wan Shao Song , Cao Jian , Yan Cong
Published: March 2014

The over-spread character and randomness of chaos can be used to initialize population and improve the searching speed, and the initial value sensitivity of chaos can be used to enlarge the searching space. In order to resolve these problems, we put forward a new design of the intelligent lock which is mainly based on the technology of wireless sensor network. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by using density calculation of immune theory and adjusting new chaos sequence. The paper gives the circuit diagram of the hardware components based on single chip and describe how to design the software. The experimental results show that the immune genetic algorithm based on chaos theory can search the result of the optimization and evidently improve the convergent speed and astringency.
How We Can Use Multivariate Statistical Analysis to Predict Creasing of Fabrics
Authors: Zelová Katarína , Fridrichová Ludmila
Published: March 2014

The creasing of textiles was evaluated by means of the innovative method of measuring the angle of recovery. Our aim is to find statistically significant features contributing to the determination of creasing materials. For this purpose, to identify the inner structures of data, the method of PCA analysis was used a method with latent variables. By means of PCA analysis (method of principal components) the original nine characteristics can be reduced to two latent variables, i.e. principal components. The structure and links among the examined features are characterized by methods like: Scree Plot, Score and component loading, Scatrerplot and Dendrogram.
Tree-ART2 Learning Model for Spatial Clustering in Second Dimension
Authors: Xiao Ming
Published: March 2014

For a clustering algorithm in two-dimension spatial data, the Adaptive Resonance Theory exists not only the shortcomings of pattern drift and vector module of information missing, but also difficultly adapts to spatial data clustering which is irregular distribution. A Tree-ART2 network model was proposed based on the above situation. It retains the memory of old model which maintains the constraint of spatial distance by learning and adjusting LTM pattern and amplitude information of vector. Meanwhile, introducing tree structure to the model can reduce the subjective requirement of vigilance parameter and decrease the occurrence of pattern mixing. It is showed that TART2 network has higher plasticity and adaptability through compared experiments.
A Novel Compiler Assisted Approach for Issue Queue Power Reduction
Authors: Lv Peng Wei , Xiao Jian Qing , Shi Sen Mao
Published: March 2014

Superscalar processors contain complex control logic in order to extract sufficient instruction level parallelism (ILP). The issue logic is one of the main sources of power dissipation in current superscalar processors. It has been estimated that up to 30% of the energy consumed by a processor is in the issue logic. This paper presents a novel compiler assisted approach to power reduction where we use compiler analysis to pass information to the processor about the number of entries needed, allowing the processor to resize the issue queue dynamically which limit the number of instruction dispatched and resident in the queue reduces the energy consumption without adversely affecting performance. Compared with hardware scheme, our approach is simpler faster and saves more energy. Using the approach we achieve 43.3% dynamic and 28.5% static power savings.
Parameter C Optimizing for Robust ε-Support Vector Regression
Authors: Lv Yuan , Gan Zhong
Published: March 2014

In case of experimental data contaminated with errors and noise, the robust ε-support vector regression has good forecast accuracy and high generalization ability. However, it depends on the selection of system parameter. Firstly, this paper introduces the robust ε-support vector regression method. Secondly, as the experiments prove, the new method achieves high forecast accuracy by virtue of the optimal penalty parameter C. Finally, the optimal method of parameter C is presented in the last section.
Robustness Analysis of Novel ε-Support Vector Regression
Authors: Lv Yuan , Gan Zhong
Published: March 2014

The key to the robust ε-support vector regression algorithm is searching for the optimal regression hyper plane while data with disturbance in the X-direction. In the paper, the optimal regression hyper plane and the optimal separating hyper plane are compared and analyzed. By means of Kolmogorov test, it is can be deduced that the testing errors of the robust ε-support vector regression experiments follow normal distribution. The result demonstrates that the algorithm has good forecast accuracy and high robustness.
Integration Particle Swarm Algorithm and its Application in Neural Network
Authors: Pan Jun , Cao Xu
Published: March 2014

This paper puts forward a kind of evolutionary algorithm and the neural network combining with the new method of optimization of hidden layer nodes number of particle swarm algorithm of neural network. The BP neural network technology is a kind of more mature neural network method, but there are easy to fall into local minimum value, unable to accurately determine the number of hidden layer nodes of the network, the disadvantages such as slow convergence speed. This paper puts forward the optimization with hidden node number of particle swarm neural network (HPSO neural network) is the hidden layer of BP network node number as a particle swarm optimization (PSO) algorithm is an important optimization goal, network of hidden layer nodes and the number of each BP network weights and closed value together, common as particle swarm algorithm optimization goal.
Study on Three-Dimensional Reconstruction of the Individualized Maxillofacial Soft and Hard Tissue
Authors: Wang Li Ping , Dong Jiang Hui , Wang Long , Liao Hong Jian , Liang Rong Lin
Published: March 2014

The three-dimensional modeling of the maxillofacial soft and hard tissue has a great significance for the study of facial growth and development, diagnosis and treatment of facial deformity, postoperative face prediction and treatment evaluation. The key technology of the maxillofacial soft and hard tissue reconstruction is described.
Data Acquisition Considering of Fixed-Wing UAVs in Mountainous Areas
Authors: Zhao Ling Li , Liu Shuai , Ma Li
Published: March 2014

Over the past decade, there has been a great demand of Unmanned Aerial Vehicles (UAVs) in numerous industrial and military operations around the world. This paper is focused on low fixed-wing UAV remote sensing system, put remote sensing technology and UAV technology closely to fixed-wing unmanned aircraft as a platform, which is equipped with high-resolution digital remote sensing sensors, it has easy transition since the airport does not depend on landing site, it is a new low-speed high-resolution remote sensing data acquisition system. It has capability of a survey of real-time quick monitoring, and has been an effective complement to conventional means for satellite remote sensing and aerial photography.
Application of Stack Filter on Image Processing
Authors: Zhu Li
Published: March 2014

This paper proposed of using stack filter technique to clears image noise. The key points of stack filter algorithm are threshold Decomposition and cascading features, and it is one of nonlinear filter based on the order statistics theory. Mat lab experiments show that stack filter can greatly reduce the time of clears image noise, and it performs better than median filters on noise reduction while retaining edges of an image.
The Research Based on Bayesian Behavior Recognition Technology
Authors: Wu Jiang , Wang Dong
Published: March 2014

The prior distribution of the incidence of crime is based on a large-scale of criminals' investigation of historical data on their psychology problems and the new sample data is based on the measured people's sampled data of investigation on their psychological problems. The incidence of crime of the measured people is the posterior distribution of the measured that need to be predicted. With the application of Bayesian statistical methods we could compute the incidence of the crime of the measured and provide a basis for us to judge whether the suspect is a criminal. The paper has verified the feasibility of the method and pointed out its limitations and applied condition.
Cycloid Pinwheel Planet Drive Nonlinear Meshing Stiffness Calculation and Analysis
Authors: Jiang Zhen Zhen
Published: March 2014

Mathematical model of pin-cycloid meshing stiffness is set up by profile modification with clearance meshing analytical method. An universal program of pin-cycloid meshing stiffness is compiled, by which meshing stiffness is computed. Computing results show that meshing stiffness is changing with time greatly, which indicate that changing meshing stiffness is a main factor on vibration of whole machine. Better value of modification and curtate ratio coefficient are gotten by analyzing factors on meshing stiffness,such as value of modification ,curtate ratio coefficient and pin-cycloid radius etc. Computing and analytical results lay a foundation for ring-plate-type pin-cycloid planetary drive dynamics characteristics investigation deeply.
Auto-Exposure Algorithm Based on Luminance Histogram and Region Segmentation
Authors: Guo Zhi Hui , Gu Yuan Bao , Yao Hong Tao
Published: March 2014

This paper proposed an automatic exposure algorithm based on luminance histogram and region segmentation. The method ensures well exposure to the main object under the backlighting or excessive front-lighting conditions, and uses the characteristics of the luminance histogram to judge the scene condition. According to the luminance histogram, if the image under normal light conditions, the method compares the average luminance value of the image with the corresponding reference target brightness value to adjust exposure compensation. If the image under special conditions, the average brightness value will be calculated using fixed-partition method and exposure compensation will be adjusted. The paper combines auto-exposure and auto-gain control to adjust the exposure compensation. As it turns out, this method in a variety of light conditions can achieve well exposure.
A Novel Receiver in Visible Light Communication Based on RGB LEDs
Authors: Sun Da , Fu Yue Gang , Duan Jing Yuan , Shi An Cun
Published: March 2014

In this paper, we demonstrate a novel receiver in visible light communication system based on RGB LEDs. It contains three major parts the collimating lens, the spectro-device and the photodetector. The mixed RGB signal lights are captured, separated and received by the collimating lens the spectro-device and the photodetector respectively. Through the adjustment of the collimating lens, the receiver can receive enough light even if the distance between the signal light source and the receiver is changed. The receiver has the advantages of strong mobility and strong ability of receiving signal light. Based on the designed receiver the high-speed visible light communication system using RGB wavelength division multiplexing technology can have better performance.
A Color Image Watermarking Scheme Based on Chaotic Maps
Authors: Ye Rui Song , Huang Hui Qing , Chen Rui Feng
Published: March 2014

A color image watermarking scheme using the chaotic properties of 2D tent map and Chebyshev map is proposed. Given control parameters and initial values, one can iterate the 2D tent map to get one chaotic sequence and obtain one permutation by sorting the chaotic sequence in ascending order. The permutation is then utilized to shuffle the blue channel components of color image as a preprocessing stage to enhance the security, imperceptibility and robustness of watermarking. Meanwhile, one can iterate the Chebyshev map to generate another chaotic sequence to determine the embedding bit positions and strengthen the security as well. Experiment results show that the watermarking scheme is secure with large key space, imperceptible and robust against cropping, noise attacks.
Computer Intelligent Nursing Care of Critically III Patients Based on Improved Patient Facial Expression Recognition Method
Authors: Wan Xiao Yan
Published: March 2014

In order to extract the expression features of critically ill patients, and realize the computer intelligent nursing, an improved facial expression recognition method is proposed based on the of active appearance model, the support vector machine (SVM) for facial expression recognition is taken in research, and the face recognition model structure active appearance model is designed, and the attribute reduction algorithm of rough set affine transformation theory is introduced, and the invalid and redundant feature points are removed. The critically ill patient expressions are classified and recognized based on the support vector machine (SVM). The face image attitudes are adjusted, and the self-adaptive performance of facial expression recognition for the critical patient attitudes is improved. New method overcomes the effect of patient attitude to the recognition rate to a certain extent. The highest average recognition rate can be increased about 7%. The intelligent monitoring and nursing care of critically ill patients are realized with the computer vision effect. The nursing quality is enhanced, and it ensures the timely treatment of rescue.
Undersampling Digital Predistortion Compensation Technology Based on Broadband Signals
Authors: Zhang Rui , Zeng Zhi Bin
Published: March 2014

Nonlinearity of power amplifier always results in spectrum spreading on input signal. When using digital predistortion technology to compensate power amplifier's nonlinearity, the required sampling frenquence for the output signal of amplifier is times of the original signal. The undersampling predistortion method can reduce the sampling frequency requirements. However, for the broadband signal, due to the significant memory effect of the power amplifier, the performance of undersampling digital predistortion is not satisfactory. In order to improve the undesirable predistortion performamce, this paper presents two kinds of undersampling digital predistortion compensation methods. For different sampling frequencies, the predistortion performances of these two kinds of compensation methods are different.
A Turbulence-Degraded Image Restoration Algorithm Using the Maximum Likelihood Estimation Method
Authors: Wang Feng , Zhang Kun Fan , Meng Fan Kun , Zhao Yong Jun
Published: March 2014

The RL(Richardson-Lucy) algorithm is an important method for restoration of turbulence-degraded images. However, the shortcoming of this method is that it tends to amplify the noise and exsits excessive smoothing in the iterative procedure. This paper discusses the RL algorithm and its improving methods focusing on turbulence-degraded images restoration.Firstly, a short exposure atmospheric turbulence-degraded model is established and a numerical computing method is proposed for random phase screen. Secondly, the essential principle and computational formula are deduced. To restore the object image effectively from the turbulence-degraded image, a new double-circulation iterative Richardson-Lucy restoration algorithm using TV-regularized method is proposed. This new algorithm introduces the total variation restraint and estimates the object image and the point spread function based on the inner and outer double-circulation iteration, which can use the inherent relation between the object image and the point spread function adequately. Simulation experiments show that the proposed algorithm can effectively preserve the details and edges of the image and its restoration effect is obviously better than the traditional RL algorithm.
Mignotte Sequence-Based Weighted Threshold Secret Image Sharing
Authors: Ma Shu , Li Ming Chu , Guo Cheng
Published: March 2014

In traditional secret image sharing schemes, participants have the same status and shadow images are of approximately equal importance, which cannot satisfy some special requirements in the real situation. In this paper, we consider the problem of secret image sharing with the weighted threshold access structure, which means different participants can have different status and significance. Under the circumstance, each shadow image has one weight, and the secret image can be losslessly reconstructed, if and only if the sum of all shadow images weights is no less than the given weight threshold. In our scheme, we first construct the weighted threshold access structure of shadow images using the weighted threshold secret sharing scheme. Then, we employ the quantization operation to embed the secret image information into a host image to generate shadow images with different weights. In the retrieving procedure, a set of shadow images satisfying the weighted threshold can be utilized to restore the distortion-free secret image.
Short-Range Clutter Suppression for Non-Side Looking Airborne Radar by Elevation Constraint Adaptive Processing
Authors: He Fei , Jiang Dong Chu
Published: March 2014

Space-time adaptive processing (STAP) can obtain excellent clutter suppression performance based on the accurate estimate of clutter plus noise covariance matrix which is obtained by enough identical independent distributed samples. However, the short-range clutter of non-side looking airborne radar (non-SLAR) occurs range dependence. As a result, the clutter plus noise covariance matrix can not be estimated accurately and thus the clutter suppressing performance by STAP declines greatly. In this paper, an elevation constraint adaptive processing method is proposed. This method obtains the elevation target steering vector by the eigen-decomposition of the elevation covariance matrix on the ambiguous pure far-range clutter, it is used to suppress short-range clutter and the residual range-independent clutter can be suppressed by two-dimensional azimuth-Doppler STAP methods. Simulation results show validity of the proposed method.
Methods of Extracting Information Based on Database Technology
Authors: Lu Rong Hua , Zhan Mu Qing
Published: March 2014

According to the ternary number data mining algorithm, this paper combines SQL program operation and Oracle 10 g database system together. And then, numerical modeling and meshing technique are adopted to abstract data parameter from the database system. In addition,a mathematical model is established to abstract information from the ternary number database and the information literacy algorithm is also designed. In order to verify the reliability of the mathematical model and algorithm, a database abstracting numerical simulation experiment is designed for the velocity and temperature parameter. Through the experiment, it is discovered that there does not exist residual shock in the ternary number method when the data is being abstracted, which has a relatively stable convergence. At the same time, this paper gains the speed data distribution vector diagram. Eventually, the reliability of the algorithm designed in this paper is verified by comparing temperature data and the experimental data.
A New Type Laser Imaging System of Underwater Wake Bubbles
Authors: Liu Xi Zhan , Xue Yan Bo
Published: March 2014

Considering the difficulties in the wake bubbles imaging, a wake bubbles measurement system was presented based on the combination of high speed photography and laser sheet scanning technology. In this system, laser sheet was used to illuminate the wake zone to avoid the image stacking of bubbles. Because the particle size of bubbles was in a wide range (10~500um), three switchable magnification lenses were designed for the bubbles imaging. the test results show that the image quality is good and this system satisfies technical requirements.
A New Medical Image Enhancement Method Based on Human Visual Characteristics
Authors: Dong Ai Bin , Zhang Yun Feng , Liu Yi Fang
Published: March 2014

Studying of image enhancement shows that the quality of image heavily relies on human visual system. In this paper, we apply this fact to design a new image enhancement method for medical images that improves the detail regions. First, the eye region of interest (ROI) is segmented; then the Un-sharp Masking (USM) is used to enhance the detail regions. Experiments show that the proposed method can effectively improve the accuracy of medical image enhancement and has a significant effect.
Thinning Algorithm of Binary Image Based on Improved Templates
Authors: Du Yan Rui , Xie Bin , Wang Li Ping
Published: March 2014

Thinning is widely used in image processing and pattern recognition, it reduces redundancy of the original image and for easily extracting features. By a lot of experiments, a new improved thinning algorithm is proposed in this paper. A flow process diagram is given too. In the new algorithm, thinking about some details. For example, thing of P1 cant be deleted, thing of how to wipe off burr. The experiments show that these algorithms achieve anticipate results.
Realization on eNodeB of PCFICH in LTE System
Authors: Wang Dan , Wang Mao Yue
Published: March 2014

The Physical Control Format Indicator Channel (PCFICH) is one among the downlink physical control channel and it carries the number of OFDM symbols used by the PDCCH channel, denoted as Control Format Indicator (CFI).These control channels play a key role in the correct decoding of the payload information. The CFI is the first information received by the User and so is important for the system performance. In this paper, Research on the PCFICH in eNodeB, a simple implementation approach is proposed in the TMS320C64xDSP, The program has been applied to the development of LTE-TDD wireless integrated test instrument. The running results verify that the program is feasible and effective.
MIMO Channel Research and Hardware Implementation
Authors: Tian Zeng Hao
Published: March 2014

The MIMO technology, namely through many antenna clear signal transmission and the receive, in does not increase the extra band width under the premise, enhanced the channel capacity greatly. Understood the MIMO channel the characteristic, studies the channel modelling method, unified the FPGA parallel characteristic, the design has manufactured one kind based on XILINX FPGA the platform MIMO channel analog meter, through the massive test confirmation, and did with the theoretically simulation performance compares, has confirmed the accuracy.
Method Based on Bi-Spectrum Research on Driving Signal Generation in Multi Random Vibration Test
Authors: Lu Yong Xing , Guo Jia Hua
Published: March 2014

A new method based on bi-spectrum for generating random driving signal in time domain is presented for multi shakers in random vibration test. Firstly, the equivalent relationship of amplitudes and phases between auto-spectrum and bi-spectrum are established, Secondly, MIMO linear system are supposed, relations between driving bi-spectrum and response bi-spectrum are set up, inverse operation are used for calculating the driving bi-spectrum, Finally, the equivalent relationship are obtained, random driving signal in time domain according with reference requests are got. A numerical example is done, the result show existence of the equivalents. At the same time, random vibration experiment about cantilever beam is made to prove the effective aspects of the method.
Indoor Positioning System Based on RFID
Authors: Xi Liang , Jiang Ming Yan , Liao Chuan Zhu
Published: March 2014

This paper presents an indoor positioning system based on RFID, which introduces electronic tag assisted positioning, according to the plurality of the electronic tags which are arranged in the target area as equilateral triangle, and the reader reads the information and Received Signal Strength Indication (RSSI) within its reading range. Sampling and calculation of the positioning result is controlled by the core circuit. Experimental results show that the indoor positioning system has excellent positioning accuracy, with high efficiency and low cost.
Research on Data Transmission and Information Integration Technology in the Distributed Wind Farm SCADA System
Authors: Tian Yan Feng , Li He , Xing Zuo Xia , Wang Gang
Published: March 2014

Distributed wind power is a new form of wind power generation, which under a limited transmission grid resources condition can makes full use of small wind resource. Therefore, it has economic and practical value to develop distributed wind farm. However, the SCADA system of distributed wind farm is the basic safeguard to ensure distributed wind farm to be safe, reliable and economical operation. Compared to other SCADA system, the SCADA system of distributed wind farm has difficulties in data transmission and information integration. This paper puts forward information integration technology based on OPC XML and data transmission technology based on the combination of ZigBee and 3G wireless network to solve the above problems.
Embedded Realization of a Adaptive Threshold Edge Detection Base on Canny Operator
Authors: Mu Cheng Po , Dong Qing Xian , Lian Jie , Peng Ming Song
Published: March 2014

Edge detection that is an important means to realize image segmentation has important application significance in image processing, industrial detection, artificial intelligence and the target recognition field. As the demand for real-time and rapidity in image processing, the embedded image processing technology has been widely applied. But the realization of real-time edge detection for image requires a large amount of data processing, limited system resources of embedded system is the main reason of the embedded image processing technology development. In order to shorten time embedded systems edge detection processing large amounts of data, based on adaptive threshold Canny algorithm, this paper as the FPGA data processing DSP chips and made a FPGA + DSP hardware architecture, effectively improve the system real-time, get a good edge detection results.
Shipborne Camera Video Stabilization Base on Horizon
Authors: Liu Yun Peng , Wang Ren Fang , Xu Hui Xia , Sun De Chao
Published: March 2014

In this paper a new horizon-based shipborne camera video stabilization algorithm is implemented. First, the edges are obtained by Canny operator, then effective lines are obtained by Hough transform. In order to get the horizon within the existing lines, a fast filter-based method detecting the lines location differences is proposed, and image stabilization is implemented by the difference with the current horizon and base horizon. Experiments show that the algorithm can meet the real-time requirements, and can achieve the better image stabilization effect even in the conditions of bad light and fogs.
Study on a Hybrid Algorithm of Navigation Radar Echo Data Compression
Authors: Liu Yu , Zeng Jie Hui , Liu Xiao Yang
Published: March 2014

With the conflict between storage space of the ship navigation radar system and large raw echoes data and files, a mixed compression algorithm of the bitmap compression + half-byte compression + Double Huffman compression is presented which is based on the characteristics of the text type data. On the basis of the original half-byte compression algorithm, the method combined with the bitmap compression and Huffman improved compression algorithm. If just using the half a byte compression algorithm, the compression ratio can only be 50%; while using the hybrid compression, the total compression ratio can be up to 75%, which save a large amount of storage resources for ship navigation system, and improve the rate of data transmission at the same time.
A Generation Algorithm of DRR Based on GPU
Authors: Du Xiao Gang , Dang Jian Wu , Wang Yang Ping
Published: March 2014

Because of the good parallelism of the generation procedure of digitally reconstructed radiographs, a real-time generation algorithm of digitally reconstructed radiographs based on Compute Unified Device Architecture is presented in this paper. Firstly, the volume data and other input parameters are read and loaded into the GPU; Secondly, the kernel procedure which can be used to simulate the decay process of X-ray in the human body is designed according to the correspondence between X-rays and threads; Finally, the kernel function is executed in parallel by the multi-thread to complete the DRR image generation. The experimental results show that this algorithm uses effectively the parallel computing capabilities of GPU in the premise of ensuring the quality of the DRR, improves significantly the generation speed of DRR, and meets the real-time requirements of digitally reconstructed radiographs in the image-guided radiotherapy.
Pulse Wave Velocity System of Repeat Iterative Adaptive Algorithm for Smart Antenna
Authors: Yi Tian
Published: March 2014

Adaptive algorithm is the key technology in smart antenna array system. Fast convergence and small steady state error will be the main factors in beamforming when applying the algorithm to form optimal weight vector. Based on these facts, various step size and transform domain have been added into the former LMS algorithm. By reusing the array input signals and training sequence as reference signal, convergence can be achieved in a short training sequence, thus the transmission efficiency can be improved. According to MATLAB simulation result, the new algorithm has faster convergence speed and smaller steady state error to achieve an optimal beamforming performance.
A Prediction Algorithm of Neural Network Applied in AMC Based on LTE System
Authors: Sun Peng , Xu Chi Yun , Yang Jing
Published: March 2014

AMC technology has been widely applied in the LTE system due to its advantages , but the majority methods of AMC algorithm of CQI reporting ignores the influence of time delay error currently. This article first explores the delay effect of the error of CQI reporting and block error rate of the system through the simulation. Aiming at the influence of time delay error, a CQI reporting mechanism based on neural network is presented in this paper and we found this algorithm effectively solves the problems of the existence of time delay error through simulation on the improved basis.
The Research on Mutil-Objective Location Routing Problem Based on Genetic Simulated Annealing Algorithm
Authors: Du Gai Li , Xue Nian
Published: March 2014

This paper analysis the basic principles of the genetic algorithm (GA) and simulated annealing algorithm (SA) thoroughly. According to the characteristics of mutil-objective location routing problem, the paper designs the hybrid genetic algorithm in various components, and simulate achieved the GSAA (Genetic Simulated Annealing Algorithm).Which architecture makes it possible to search the solution space easily and effectively without overpass computation. It avoids effectively the defects of premature convergence in traditional genetic algorithm, and enhances the algorithms global convergence. Also it improves the algorithms convergence rate to some extent by using the accelerating fitness function. Still, after comparing with GA and SA, the results show that the proposed Genetic Simulated Annealing Algorithm has better search ability. And the emulation experiments show that this method is valid and practicable.
High Isolation and Compact Microstrip Diplexer for Broadband and WLAN Application
Authors: Tang Yi Jun , Liu Bing , Fu Yong , Zhu Fang , Shen Dan , Liu Ya Wei , Zhou Yi Pan
Published: March 2014

A high isolation and compact microstrip diplexer for broadband and wireless local area network (WLAN) application is proposed in this paper. It is achieved by using the combination of a broadband bandpass filter (BPF) composed of one open stub and two short stubs of different size loaded in 50Ω feed lines. The tapped stub can not only generate two zeros to deepen the stopband, but also connect other BPF without deterioration of in-band performance. Hence, the compact diplexer combines two BPFs without extra junction matching network. The mutual loading effect approximately equivalent to a coupled resonator can create one zero at the passband edge to improve the isolation. The proposed microstrip diplexer is designed and fabricated, and it has a 1dB fractional bandwidths (FBW) of 60% at 3.5GHz for broadband channel and 3% at 5.8GHz for WLAN channel . The simulated and measured results are presented and good agreement is obtained.
A New Method for Osteosarcoma Recognition Based on Bayesian Classifier
Authors: Huang Wen Bo , Wang Yun Ji
Published: March 2014

In order to deal with the complexity and uncertainty in medical image diagnosis of osteosarcoma, we proposed a new method based on Bayesian network, and first applied it to recognize osteosarcoma. A new multidimensional feature vector composed of both biochemical indicator and the quantized image features is defined and used as input to the Bayesian network, so as to establish a more accurate and reliable osteosarcoma recognition probability model. Experimental results demonstrate the effective of our method, there are 50 training samples and 30 testing samples, and the accuracy is up to 86.67%, which close to the expert diagnosis.
Structure Design and Mechanical Analysis on a Large Spaceborne Flat Seam Antenna
Authors: Fan Wen Jie , Li Xiao Peng , Li Ning
Published: March 2014

Large spaceborne flat seam antennas boom recently. The structure design of the large flat seam antenna is introduced, and finite element model is built. The first frequency of antenna is obtained from modal analysis and it meet the requirement. The results of sine vibration and random vibration shows that strength satisfy the requirement and it has a certain margin.
Intelligent DNS for Accelerating Web Access to University with Multi-Exports
Authors: Li Zhi Yong , Ren Bao Wei , Xiao Li Ming
Published: March 2014

In this paper, the intelligent DNS is introduced to resolve user having slow campus internet speed when access our campus website. Our campus has three exports, connected to the CERNET, the Telecom and the Unicom respectively. The campus website is usually resolves to the CERNET, this led to when user from the other ISP accessing campus website, it need across different ISP, but across different ISP take more time, so resulted in slow speed problem. To solve the problem, we design and implement an intelligent DNS method base on open source software squid and BIND. Practical results show that this method can improve access speed effectively, and enhance the security of website.
The Research on Software Reuse Technology
Authors: Wang Hong
Published: March 2014

Software reuse has gained increasing attention by academic organizations and software development agencies. Existing researches on software pattern concentrate on constructing and representing patterns in unstructured way, so it is difficult to maintain and reuse them. This article puts forward pattern-oriented software development process that integrates modeling method based on architecture with software process for software reuse. Through the research on pattern oriented software development process, the reusability of software is enhanced.
Front Axle Finite Element Analysis of Low Floor Bus
Authors: Mu Cun Yuan , Liu Yi Nuo , Guo Teng Fei
Published: March 2014

After preliminary design of low floor front axle is finished, finite element analysis module of CATIA is used to calculate the distribution of stress field and displacement field of low floor front axle in the working conditions of vertical static loading, emergency braking as well as side slipping of bus, and then the conclusion will be reached to provide theory basis for front axle design of the whole project.
Research of Data Base and Data Mining in CRM
Authors: Wu Xiang Min , Zhao Cheng Lin , Cao Pan
Published: March 2014

Customer Relationship Management (CRM) is becoming the focus of enterprise and an active research field of computer science. The ariticle introduces some basic concepts about CRM and data mining, and some benefits brought by data mining in CRM. At the end it points out how to apply data mining applications in CRM.
The Analysis of the Loss Rate of Information Packet of Multi-Queue Single Server Polling System in Bi-Directional Cable TV Network
Authors: Yang Ya Wei , Ding Hong Wei , Guo Jia , Wang Yong , Liu Qian Lin
Published: March 2014

In this paper, the authors employ the multi-queue single-server system for information packets to calculate the theoretical value and computer simulation in the Bi-directional cable TV network. 3-queues single server polling system is used for example in the paper. And the simulation results show that the theoretical analysis and computer simulation are consistent.
IPMT, an IPv6 Packet Manipulation Tool: Design Considerations and Applications
Authors: Dong Wei
Published: March 2014

To facilitate research into IPv6 protocol, we propose IPMT in this paper, an IPv6 packet manipulation tool that allows rapid encode and decapsulation of IPv6 frames. IPMT offers capabilities of IPv6 packet manipulation, such as packet encapsulation, packet decapsulation, and packet trace. We mainly focus on IPv6 protocols because most popular network tools that are currently used don't support IPv6. We describe the main features of IPMT and demonstrate how the IPMT programming class enables users to easily develop portable IPv6 packet analysis tools without needing to consider the details of the capture format, file compression or intermediate protocol headers. Unlike other popular network tools, IPMT can almost decode all layers all at once. We divide IPMT into two modules and implement the tool and test the tool in a real test scenario to show that the tool works well. At the same time, we design a versatile way of storing decoding information result. As a result, we conclude that IPMT is a valuable contribution to the passive measurement community that will aid the development of better and more reliable IPv6 analysis and network monitoring tools.
Secure Circulation System of Privacy on Courier Receipts
Authors: Gao Yang , Fang Xu , Wang Shu Feng
Published: March 2014

As for Chinese express industry, it is high time to effectively protect consumers private information. Nowadays, the popular solution is to take two-dimensional codes as the carrier to directly encrypt and store consumers private information. However, this paper hasnt followed the old routine and seperated the privacy flow from the courier and item flow. Based on the Mobile Internet, Android Application and Cloud Storage, it redesigns traditional courier receipt, stores consumers private information in securer Cloud servers and realizes the Zero Rate of Exposure of consumers private information in the circulating process with two-dimensional codes as the key entrance connecting online servers and offline users. After practical tests, this system succeeds in securing the circulation of consumers privacy on courier receipts. Whats more, it can automatically update logistic information and improve the efficiency of sorting and delivering.