bluuebunny/crossref_metadata_2025 huggingface dataset:
An Intellectualized System Applied on Pumping Station Based on DDA
Authors: Wei Zhao Gang
Published: March 2014

This passage introduces using inverters to achieve high efficiency and energy conservation, and using distributed remote data collection system to achieve anti-interfering, intelligent and energy-saving combined pumping station. The passage emphatically analyzes pump station system's structure, the energy-saving profits of inverter application, and the anti-interference of remote data collection. This system has been put into operation in several industrial corporations, and the reliability and energy conservation of it have been fully affirmed; therefore, it can be used as reference for other similar systems.
Electromagnetic Launcher Structure Simulation Design Research
Authors: Li Wei Bo , Qi Yu Dong , Yang Da Wei , Li Xiang Yang
Published: March 2014

The paper analyzed the components and work principle of the launch device; calculated the instantaneous velocity of the interceptor and transient magnetic field effect on the interceptor of transient outward along the axial magnetic force through the establishment of two-dimensional finite element model; put forward structure design model with the design variable of interceptor distance between coil turns number, stators distance and emitting coil; determined the structure design with computer simulation software, and obtained optimal structure design scheme by simulation.
The Study of Blanking Frequency Effect on the Acceleration Performance of Impact Testing Machine Rotor
Authors: Cai Yuan Bo , Zhao Fang , Li Shi Jian , Zhao Na
Published: March 2014

This paper designed an impact testing machine to observe the movement characteristics of particles. We simulated the rotor with different blanking frequency and different rotating speed by EDEM to explore the acceleration of the rotor. Through simulation, blanking frequency could have an impact on the rotor acceleration of testing machine, and the greater Blanking frequency was, the more obvious hanging material phenomenon was. Increasing the diameter of feed inlet could ease the phenomenon of hanging material, but would decrease particles speed. Therefore, we should not only avoid the phenomenon of hanging material, but also make the particles get high speed when designing the impact testing machine.
The Simulation of Four Wheel Steered Car Run in Close-Loop Driving Conditions
Authors: Liu Qi Jia , Chen Si Zhong , Zhang Jun Wei
Published: March 2014

The article put forwards a fuzzy logical control method which make the car yaw rate follow the reference yaw rate of two degree of freedom (2DOF) four-wheel-steer (4WS) vehicle model on the basis of the analysis of four wheel steer car proportional control, yaw rate feedback control and the control of following the response of 2DOF front wheel steer car model. Building a co-simulation model use the software of Carsim and Simulink, and made a simulation on the double lane change test. From the analysis we found that the control method can give a good performance on the test of double shift lane change test.
Anti-Collision of Tower Crane via Ultrasonic Neural Networks
Authors: Li Xi Ping , Gu Li Chen , Kou Xue Qin
Published: March 2014

The mainstream anti-collision method was still a passive security model represented by working area limitation technology, which lacked flexibility and initiative. This paper presented a practical anti-collision method which used ultrasonic sensors to obtain the accurate profile of barriers through information fusion techniques such as Elman neural networks time fusion, SOM neural networks space fusion, etc, gave operators sufficient time to take corrective action in alarm mode before a collision occurs. It was verified via simulation and experiment that the method could use in the different tower crane flexibly, detect multiple types of barriers initiatively, determine the surface outline and position of barriers accurately, meet the requirement of tower crane safety fully. Moreover, this method had characteristics of low cost, high precision, real-time.
Research on Electro-Hydraulic Hybrid Brake System Combined with ABS
Authors: Liu Qing He , Rong Yan Chao
Published: March 2014

A novel electro-hydraulic brake system configuration was designed by adding a hydraulic control module on conventional brake system with ABS, which achieves independent hydraulic braking force control for each wheel. With the purpose of improving energy recovery efficiency, a braking force distribution algorithm based on ECE regulations and motor external characteristics was proposed. Then further simulation verification was made to demonstrate its availability by using ADVISOR. Finally, a key aspect specific to independent hydraulic braking force control, a bilinear interpolation algorithm was defined and a hardware test was carried out. The results verify the feasibility and effectiveness of this algorithm.
Study on Braking Force Distribution Strategy for a Hydraulic Regenerative Braking System
Authors: Huang Yu Ting , Chu Liang , Yang Yi , Zhang Shi Tong
Published: March 2014

This paper is based on a type of hybrid electric vehicles regenerative braking system. The target is to reduce the fuel consumption and improve the energy recovering rate. In this paper,a new braking force distribution strategy that based on two kinds of working condition will be studied. And it will be validated in MATLAB/Simulink and CRUISE.
Effect of the Mechanical Properties and Geometric Parameters on the Crack Density of a Multi-Layered Thin Film Structure under Residual Tensile Stress
Authors: Yang Ban Quan , Chen Xue Jun , Sun Wei Hai , Chen Hong Qian , Pan Jing Wen , Chen Ying
Published: March 2014

The effect of the mechanical properties and geometric parameters on the crack density of a multi-layered thin film structure under residual tensile stress is investigated theoretically. The numerical results show that the crack density of the thin film decreases with the increase of the thickness of the thin film and (or) the fracture strength of the thin film. These results can help us more deeply understand the fracture behavior of the multi-layered thin film structure under residual tensile stress.
Valve Plate for Piston Pump Cavitation Problem with the Damp Groove Structural Optimization
Authors: Liu Wei , Wang An Lin , Shan Xue Wen , Zhang Xiao Lu , Jiang Tao
Published: March 2014

To reduce the cavitation occurring on valve plate of typical Swashplate piston pump, an optimization design method was introduced to quantitively analyse the accurate relationship between structural jet grooves parameters and cavitation.Using the CFD method, the sunking and discharging process in piston pump was simulated dynamically.The damp grooves structure effect on both jet angle and pressure shock were analysed visually with a series of different parametrical grooves.By establishing parametrical damp groove model, the piston pumps dynamic analysis was integrated with the technologies of CFD analysis, experimental design and approximation model, etc.The mathematical model of plunger pressure in oil back period, jet angle and structural parameters of damp groove were established in the form of second-order RSM model. The damp groove structure of valve plate was optimized on the basis of the RSM model.Test data show that the anti-cavitation performance of optimized valve plate was increased obviouslyAnd this method provided theoretical foundation for the structure design of damp groove.
Design of Dummy General Test Device for Missiles Based on PXI Bus
Authors: Zhang Xiao Yu
Published: March 2014

To meet the test requirements of a certain kind missile, the general test system based on the PXI bus and test adapters is designed, The generality of the system is achieved by designing corresponding adapter for different types of missiles, the framework based on the function interface and the method of the test tasks handle dynamic management are used in the software, the expert systemthe database theory and other theories are used in the intelligence faults diagnosis system. The practical application results indicated that the system has many advantages such as better generality, high automatization and more convenience.
Research and Simulation on Stability Control after Network Intrusion
Authors: Xu Meng , Kong Lu Ling
Published: March 2014

Network intrusion is highly destructive and uncontrollable. Current networks are all closed-loop feedback control systems, therefore conflicts, instability, limit data bandwidth and other uncontrollable factors occur after networks intrusion. The traditional stability control methods have better control to the pre-intrusion. Once after intrusion, the volatility of networks will beyond the control and the control threshold cannot play the role of optimal control. On the foundation of feedback rules of random and long-time unstable network control system states, this paper proposes a stability and stabilization method for network volatility caused by intrusion. Finally, a numerical example is used to verify the validity of the conclusions.
A Precision Agriculture Architecture with Cyber-Physical Systems Design Technology
Authors: Nie Juan , Sun Rui Zhi , Li Xiao Hua
Published: March 2014

Cyber-Physical Systems (CPS) are integrations of computation with physical processes. This paper develops a precision agriculture architecture based on CPS technology, including three layers: the physical layer, the network layer and the decision layer. Every layer is analyzed in detail. This paper helps the exploration of CPS in precision agriculture.
Aerodynamic Characteristics and Trajectory of Projectile with a Deflectable Nose
Authors: Wei Ji Feng , Li Xiong , Wang Shu Shan , Xu Yu Xin
Published: March 2014

The basic experiment and detailed simulations are carried out to study the aerodynamic characteristics of projectile with deflectable nose. The parameters of computation are revised on the basis of experimental data. Further simulations show that the influence of mach number and deflectable angle on drag, lift, pitching moment and flight trajectory. The drag coefficient increases firstly and then decreases with the change of mach number, while drag coefficient and pitching moment coefficient grows exponentially. It can be seen that the ratio of lift to drag increases consistently, which means the aerodynamic efficiency of projectile would be improved with the increase of deflectable angle and mach number. The range is influenced by the start time of deflection. For the projectile with deflectable angle 10, the maximum range can be obtained if the forehead deflects at 3s.
Information Entropy-Based Texture Adaptation for 3D Vector Field Visualization
Authors: Wang Huai Hui , Li Si Kun
Published: March 2014

Texture adaptation is a challenging issue in texture-based feature visualization. In order to visualize as more information as we can, this paper presents a texture adaptation technique based on extended information entropy. A new definition of information entropy for 3D vector field is proposed to quantitatively represent the information carried by them. A discussion of results is included to demonstrate our algorithm which leads to a more reasonable visualization results based on texture adaption with information entropy.
Research of a New SVM Kernel Function
Authors: Du Juan , Zhang Wen Long , Xie Meng Meng
Published: March 2014

The kernel was the key technology of SVM; the kernel affected the learning ability and generalization ability of support vector machine. Aiming at the specific application of harmful text information recognition, combining traditional kernel function the paper structured a new combination kernel, modeling for the independent harmful vocabulary and co-occur vocabularies, and then evaluation the linear kernel, homogeneous polynomial kernel, non homogeneous polynomial kernel and combination kernel function in the sample experiment. The experimental results of combination kernel function showed that the effect has increased greatly than other kernel functions for the application of harmful text information filtering. Especially the Rcall value achieved satisfactory results.
An Efficient SPH Approach for Nearly Incompressible Fluid Simulation
Authors: Zhang Zhong Xing , Qiao Peng Zhe , Li Tao , Xiang Tao
Published: March 2014

In this paper, we present an efficient approach based on Smoothed Particle Hydrodynamics (SPH) to simulate nearly incompressible fluids. The proposed method is an extension of the traditional SPH method designed for compressible fluids. We first introduce a new scheme for pressure evaluation to satisfy the incompressibility constraints. Then novel calculation methods for pressure force and viscosity force are discussed. Finally, the results demonstrate that our method is more capable of realistically simulating fluids with near-incompressibility than previous method.
The Research of Self-Adaptive Differential Evolution Algorithm with Opposition-Based Mechanisms
Authors: Ku Jun Hua , Cai Zhi Hua , Zheng Bing , Yun Da Wei
Published: March 2014

In this paper we describe an algorithm which is based on Differential Evolution Algorithm using self-adaption and opposition-Based Mechanisms (SAODE). The mutation control parameterfiis self-adapted according to the deviation of search parameters in each generation. Opposition-based optimization is included in the initialization, and in the evolutionary process itself. In order to demonstrate the behavior of our algorithm we applied it in 4 benchmark functions with a combination of self-adaptive and opposition-based optimization. According to the obtained results, SAODE surpasses DE on 3 functions among 4 test functions about the convergence speeds.
Parameters Estimations for Autoregressive Process
Authors: Chen Hai Long , Yang Jing , Liu Chun Li , Wang Jun Ting
Published: March 2014

Autoregressive process is better than other stochastic processes, which models flexibility, and simulates some other stochastic processes by setting the parameters of model. This paper firstly describes in detail the basic definition of autoregressive process and its stationary conditions, and then studies estimation autoregressive process parameters with residuals briefly in order to research Hubors М-estimation for autoregressive process with symmetric stable residuals. Secondly, prove autoregressive processes with residuals, which are-stable random variables, are also stationary processes, and use Markov's inequality and related theories to discuss Hubors М-estimation for autoregressive process with symmetric stable residuals. Finally, prove the consistency and asymptotic normality of this estimate further.
Research on Aggregation and Disaggregation Method of Armored Equipment Motion Model Based on AHP
Authors: He Xin Hua , Chen Geng Shen , Jin Guo Zhu
Published: March 2014

One of the core issues about multi-resolution modeling needed to solve were the aggregation and disaggregation of models. In this paper, the location, velocity, state and the degree of damage of models were discussed by a new method basic on AHP under the background which armored equipment motion models. In the end, the practical applicability and validity of this method were given in detail.
Shore-Based Air-Defence Unit Shooting Mode Optimization Model Research
Authors: Yang Da Wei , Chu Jian Chong , Wang Zi Ming , Li Wei Bo
Published: March 2014

This paper analyzes the relationship between firing way and firing command way. Using the theory of probability and air defense combat strategy, it describes the concept, characteristics, and its mutual relations between concentration, dispersion, and mixing command in shooting mode, analyzes the influence of different ways of command on group firing efficiency.
Research on Model and Virtual Simulation of Discrete Partial Differential Equation Based on Complex Statistical Perspective
Authors: Liu Yi
Published: March 2014

This paper introduces the system structure of computer statistical perspective virtual simulation, and establishes an application database using parameter modification and optimization method. Then, a complex computer fluid solid coupling simulation model is established by using ANSYS software, and the mining results of computer streamline 3D data is obtained by the establishment of the fluid and solid domains data interface. At the same time, the computer virtual simulation system of statistical perspective is applied to the process of handball players training index data mining, and we will get the analysis curve of computer training resistance data mining. Finally, we establish the handball training intensity parameter storage library, to provide the technical reference for the handball athletes.
A Novel Method for Solving Consistency-Order Initial Value of Ordinary Differential Equations
Authors: Zhu Si Min , Deng Hai Yun , Zheng Kai , Li Hua Mei , Chen Xiao Zhou
Published: March 2014

It is known that the level of the consistency-order of initial value problem is an important standard to determine whether the constructed methods for solving initial value problem of ODEs is suitable or not. There are two methods to solve the consistency-order of initial value problem in general. The one is using the remainder of integral formula as local truncated error, and the other one is using absolute error as local truncated error. In the paper, we propose a novel method based on Gauss-Legendre quadrature formula. It use the method of the remainder of integral formula as local truncated error exists in most of the literatures, and it will be solved once again for the consistency-order of the constructed methods that exist in currently literatures by using absolute error as local truncated error, and then draw a conclusion that is differ from what has been proved correspondingly.
Research and Application of an Improved Ant Colony Algorithm
Authors: Shi Lan , Yang Shang Po
Published: March 2014

Ant colony algorithm is a bionic algorithm which is used to optimize the shortest path in graph. But the traditional ant colony algorithm has some disadvantages, such as slow convergence speed, easy to fall into local optimum, high complexity and so on. In this paper, it focus on the problems of slow convergence speed and easily falling into local optimum and contribute the local pheromone updating strategy and global pheromone updating strategy, it also optimize the routing formula and local search method after analyzing the problems. It conducts some simulation experiments about our optimization scheme and the traditional ant colony algorithm in Matlab environment, by comparing the results of experiments, the optimization scheme proposed can get a better search path in different examples and the μ (t) function can effectively reduce iterations.
A Novel BFO Optimization Algorithm with Neighborhood Learning
Authors: Tan Li Jing , Lin Fu Yong , Niu Ben , Duan Qi Qi , Yin Kai
Published: March 2014

Bacterial foraging optimization is a relatively new bio-inspired swarm intelligence algorithm and has been successfully applied to solve many real-world problems. However, similar to other swarm intelligence algorithms, BFO also faces up to some challenging problems, such as low convergence speed and easily to be trapped into local minima. To deal with these issues, we incorporate the concept of neighbor topology and the idea of neighbor learning to improve the performance of BFO, called bacterial foraging optimization with neighborhood learning (BFO-NL). Simulation results demonstrated the good performance of our proposed BFO-NL when compared with original BFO.
Study on Three-Dimensional Surgical Simulation and Face Prediction of the Individualized Maxillofacial Soft and Hard Tissue
Authors: Wang Li Ping , Guo Yi , Jiang Xue Ling , Dong Jiang Hui , Wang Long
Published: March 2014

Three-dimensional 3D modeling, surgery simulation and face prediction 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 and postoperative face prediction and treatment evaluation. Based on maxillofacial 3D modeling and measurement analysis, real-time variable model is set up. In virtual environment, image feedback, force and tactile perception in combined together surgical simulation. Furthermore, the system of surgical prediction and postoperative results display is proposed, which has great value and clinical significance.
The Properties of Bilinear Derivative
Authors: Zhang Ju Mei , Wang Hong Lun , Cui Wen Yan
Published: March 2014

Bilinear derivative method is widely used in calculating multi-soliton solutions of some nonlinear evolution equation. The paper proves some frequently used properties of bilinear derivative from the perspective of the definition of bilinear derivative, hoping to be useful for learning and teaching in nonlinear science.
Research on Characteristic Response Curve of Complex Cam Model Based on PCA Finite Element
Authors: Wang Yong
Published: March 2014

Computer numerical modeling is the first step of virtual simulation, but for many models, numerical modeling process is very complex, the workload is huge, we must adopt corresponding algorithm to optimize modeling process. In this paper we introduce the idea of computer PCA in the finite element modeling process, and establish finite element partial differential equation of PCA, which greatly reduces the complexity of the modeling process. We establish a complex cam model by UG software, and verify the reliability of the model and algorithm. At the end of this paper, we apply the finite element computer PCA analysis method to the evaluate sports resources, and establish a new type of city sports resources weight ratio model for Pan Yang Hu area, and obtain the characteristic response curve. It provides computer technology support for the new city sports resources construction and evaluation process.
An Embedded FTP Server: Research and Implementation
Authors: Gong Min , Dong Wei , Zhang Zhen Ya
Published: March 2014

Traditional File Transmission Protocol (FTP) servers are not suitable for embedded environments since these servers take complicating factors into account and consequently take a lot of memory space. Moreover, some FTP server applications even manage all file transmission by utilizing graphic user interface. However, such server is not adequate for embedded environments. When embedded system needs is more memory-efficient efficient in a resource restricted system. To cope with this problem, in this problem we conduct research on lightweight FTP server for embedded systems. And, we first summarize features of a lightweight FTP server. Then, based on the design requirements for FTP server for embedded systems, a lightweight FTP server is designed. The server adopts a command-line user interface and other advanced features, such as transmission encryption and graphic user interface, are abandoned for efficiency reasons. Last, to evaluate our design of the FTP server, several experiments are conducted and all results show that the FTP server works quite well under embedded environments. With more and more embedded systems emerging in the industry, it can be expected that the software introduced in this paper will play a more and more important role in the industry.
Research on Multi-Optimizing Strategy for MVB Sporadic Data of Rail Transit On-Board Network
Authors: Zhu Chun Yang , Guo Qi Yi
Published: March 2014

In order to improve real-time of MVB sporadic data communication, we study and analysis
MVB sporadic data communication scheduling modelling and collision event arbitration mechanism, the communication maximum arbitration delay is closely related with concurrent message events, binary tree search algorithm mechanism bring out big communication delay, so, we makes use of multi-optimizing strategies, applying dynamically assigned communication of sporadic data and slave frame stuffing of process data, decreasing communication delay of sporadic data and making sure that emergent sporadic data firstly send, it is a good try to optimize real-time of sporadic data.
Stochastic Fatigue Reliability Analysis for Torsion Shaft of Military Tracked Vehicles
Authors: Hu Hui Bin , Cao Li Jun , Chen Shu Xiao , Cao Xin Wen
Published: March 2014

There are coupled cases of high-cycle fatigue and low-cycle fatigue in torsion shaft of military tracked vehicles. To accurately analyze the stochastic fatigue reliability of torsion shaft, a new kind of decoupling method for high-cycle fatigue and low-cycle fatigue was firstly put forward. Probability fatigue accumulation damage theory and nominal stress method were combined to analyze high-cycle fatigue. Random response surface method was adopted to fit the life distribution function for low-cycle fatigue. To obtain the high-cycle and low-cycle stochastic fatigue reliability, probability fatigue accumulation damage theory and local stress and strain method were used. Then, composite damages of torsion shaft under high-cycle fatigue and low-cycle fatigue could be achieved based on probability fatigue accumulation damage thoery.
Research of Potential Inclined Intrusion Data Mining Method in Large Network
Authors: Zhu Chang Jiang , Zheng Wen Kui
Published: March 2014

Network intrusion is shown in more and more concealment, and some intrusion data is potential with inclination property. This paper is aimed to mine the potential inclined intrusion data effectively, and ensure the security of large network. On the basis of the traditional fractional Fourier transform data mining method. An improved potential inclined intrusion accurate data mining algorithm is proposed. New algorithm can separate the time and frequency coupling effectively. The discrete fractional Fourier transform is implemented for the network intrusion data firstly. The data is gathered in the fractional Fourier domain, the inclined intrusion data accumulation is increased. The network signal interference is suppressed effectively. Simulation results show that the proposed data mining algorithm can extract the potential inclined intrusion data in strong concealment. The mining performance is much better than the traditional algorithm, and it can be applied in the network security defense area perfectly.
Study on Data Mining Techniques and Algorithms of Association Rules Data Mining
Authors: Wang Yan Bo
Published: March 2014

With the rapid development of network and database technology, data need to be processed massively increased, how to carry out effective data mining is a serious problem. The mature development of granular computing algorithm provides new ideas and new methods to study for data mining. Association rules of granular computing can reduce the number of object scanning data set, and improve the efficiency of the algorithm. In this paper we introduce the data source, classification, technology, system structure, operation process, application in other areas of data mining technology. Based on association rules of granular computing, data mining technology can provide quantitative basis for enterprise in screening assessment, so the service object has a stronger competitive advantage and focus more on its problems.
Research and Test on Token Bucket Algorithm in LTE System
Authors: Liu Yu , Gao Ji Ke
Published: March 2014

Token bucket algorithm is a common algorithm used for traffic shaping and rate limiting. In LTE (Long Term Evolution) system, RRC (Radio Resource Control) layer configures priority, PBR (prioritisedBitRate), and BSD (bucketSizeDuration) for every logical channel so that lower priority channel can also get resource and bursting data can be sent in a short time. This paper firstly introduces application of token bucket algorithm in LTE system. And the test procedure is designed to test the algorithm. Test result shows that the algorithm is used in LTE system successfully. The algorithm has been used in TD-LTE radio frequency conformance testing instrument.
Selection and Prediction of Earthquake Casualties Related Factors Based on BP Neural Network Analysis
Authors: Bao Run Biao , Zhang Man
Published: March 2014

To reduce the prediction error rate of earthquake casualties, the paper proposed a prediction model with two steps: (1) screening of the earthquake casualties correlation factors; (2) improving the predictive veracity of general BP(Back Propagation) neural network model.By the analysis of 9 kinds of correlation factors, the paper established the MIV(Mean Impact Value) model based on BP neural network to screen the final correlation factors, and the paper got 6 main correlation factors according to the size of output weights of the factors. Finally, the paper verified the accuracy and practicability of the model through the validation of the model and the solving of prediction error of relevant factors hasn't been selected.
Chaotic Time Series Prediction Algorithm for Lori Mapping Based on Optimized BP Neural Network
Authors: Bian Hong Li
Published: March 2014

Based on the particle swarm optimization (PSO) and BP neural network (BPNN), an algorithm for BP neural network optimized particle swarm optimization (PSOBPNN) is proposed. In the algorithm, PSO is used to obtain better network initial threshold and weight to compensate the defect of connection weight and thresholds of BPNN, thus it can make BPNN have faster convergence and greater learning ability. The efficiency of the proposed prediction method is tested by the simulation of the chaotic time series for Lori mapping. The simulations results show that the proposed method has higher forecasting accuracy compared with the BPNN, so it is proved that the algorithm is feasible and effective in the chaotic time series prediction.
Researches on the Object-Oriented Model of Distributed Image Database
Authors: Gou Ping Zhang , Tang Yong Zhong
Published: March 2014

Combined with the characteristics of the image data, this study contrasted four kinds of data model. Then it analyzed the three kinds of realization methods of image database, comparative analysis of management modes of the distributed image database finally.
An Image Fuzzy Enhancement Adopting Linear Membership Function
Authors: Zhang Dong Ming , Chen Li Jia , Gao Wei
Published: March 2014

S.K.Pal's fuzzy set theory has been used to deal with the degraded image, wherein the image edges are uncertain and inaccurate. But Pals algorithm losses low grey level information of the original image and the grayscales of the image can not be extended. A fuzzy image enhancement based on linear membership function is proposed through the analysis of classical Pal's fuzzy enhancement. This algorithm avoids the lost of low grades information of the image as well as increases the image's whole grey scales. It is very suited for low grades, low contrast images such as X-ray images. As a result of the linear transformation comparing with Pal's non-linear scheme, the image processing speed is also improved. Experiment results show that the proposed method outperforms traditional Pal's in terms of contrast stretching effect and speed.
Beam Forming of Vector Sensor Array Based on Signal Subspace Projection in Underwater Noise Measuring
Authors: Ren An Min , He Lin
Published: March 2014

To solve the problem that conventional beam forming fails to give full play in suppressing interference of vector sensor array, a new method of beam forming for vector sensor array was discussed based on signal subspace projection. The method projects array manifold matrix on the signal subspace derived from HOSVD, resulting in a spatial spectrum computation method, which could eliminate noise better and generate a lower side lobes. Further theoretical derivations and simulation experiments have verified the effectiveness of this method.
CAN Signal Capture and Analysis System
Authors: Zhi Jian Lei , Luo Feng
Published: March 2014

A CAN signal capture and analysis system is developed in this paper, which is based on the CAN bus disturbance generator and computer oscilloscope. The main work of this paper is to design the computer software. The software is designed to capture and disturb any CAN signals, and display the waveform on the computer screen. Meanwhile, the software decodes and analyzes the CAN message according to the CAN protocol. A detailed hardware platform building and computer software designing are described in this paper.
Construction and Analysis on a New Concatenation Code for Optical Communications
Authors: Yuan Jian Guo , Tian Yang , Zhang Jie , Shu Liang Bo
Published: March 2014

Based on the theoretical analysis of both the characteristics for the concatenation code and the two concatenation code-types in ITU-T G.975.1, a new RS(255,223) + BCH(2040,1930) concatenation code for optical communications is constructed and analyzed. The simulation results show that this new concatenation code, compared with the RS(255,239)+CSOC(k0/n0=6/7,J=8) code in ITU-T G.975.1, had a lower redundancy and the better error-correction performance. Furthermore, at the third iteration and at the bit error rate (BER) of 10-12, its net coding gain (NCG) was respectively 0.46 dB and 0.43 dB more than that of RS(255,239)+CSOC(k0/n0=6/7,J=8) code and BCH(3860,3824)+BCH(2040,1930) code in ITU-T G.975.1. Therefore, the constructed RS(255,223)+BCH(2040,1930) concatenation code can be better suitable for optical communications.
A Numerical Computational Method for Image Zooming
Authors: Sun Li Hua , Zhao En Liang , Wang Feng Ying
Published: March 2014

In this paper, we make use of the integral method which is commonly used in partial differential equations to get the difference scheme on five points, and then construct an anisotropic diffusion model based on the partial differential equation. The numerical experimental results show the diffusion model can effectively magnify the image, and can keep the edge character and details of the image. It is proved that the numerical computational method proposed for solving the model is very effective.
A Method of Constructing Quaternary Periodic Complementary Sequence Sets for Suppression of Multiple Access Interference in CDMA Communication Systems
Authors: Zeng Fan Xin , Zhang Zhen Yu , Qian Lin Jie
Published: March 2014

For suppressing multiple access interference (MAI) in a CDMA communication system, complementary sequence sets are employed as spreading sequences in such system. In this paper, we present a method for constructing a family of quaternary periodic complementary sequence sets, which arises from the conversion of the existing binary periodic complementary sequence sets with odd period of sub-sequences. The period of sub-sequences in the proposed sequence sets is twice as long as the one of the binary sequence sets employed, which is a drawback in the proposed method. Finally, some examples are given in order to illuminate the validity of the new method.
Facial Expression Recognition Based on RS-SVM
Authors: Li Dong
Published: March 2014

In Recent years, with the rapid development of facial expression recognition technology, processing and classification of facial expression recognition has become a hotspot in application studies of remote sensing. Rough set theory (RS) and SVM have unique advantages in information processing and classification. This paper applies RS-SVM to facial expression recognition, briefly introduce the concepts of RS and principle of SVM, attributes reduction in RS theory as preposing system to get rid of redundancy attributes. Meanwhile, the SVM classifier works as postposing system helps training and classifying the facial expression recognition. Experimental results indicate this model not only raise the operating speed, but also improve classification performance, providing a new effective way in facial expression recognition technology.
Kalman Filter for Dynamic Positioning Ships Using Position and Acceleration Feedback
Authors: Xie Ye Hai
Published: March 2014

Considering the problem of dynamic positioning Systems for the slowly-varying disturbances, a new kalman filter using position and acceleration feedback is presented. The kalman filiter separates the WF motions from the measured position and linear acceleration, and estimates the LF position, velocity and acceleration. The stability of this filiter is proven by applying input-to-state (ISS) stability theory. Finally, the computer simulation is given to demonstrate the effectiveness of the proposed method.
Research on Face Recognition Based on Three Layer Image Generation
Authors: Wang Zi Jian
Published: March 2014

In face recognition with single training sample cases the question of the low recognition rate, proposed a method of a kind of three layer virtual image. Using singular perturbation method to highlight the facial features, increase the quantity, scale change and sample attitude through the geometric transformation method, the spatial distribution of the improved method based on sample distribution. The experimental results on ORL face database show that this method can effectively on the single sample problem in the training sample pretreatment.
The Improved Modal Analysis of Driving Shaft for Machine Tool Based on Finite Element Model
Authors: Cui Chang Qing , Yang Chun Yan , Wang Yi Qiang
Published: March 2014

With the continuous development of machine tool technology, the machine design requires more and more work for the precision and high quality direction. The design of the driving shaft for the whole machine tool has a very important influence. To improve the ability to make rational analysis and accurate dynamic performance of machine tool, this paper presents an analysis method of modal improved driving shaft based on the amount of calculation, the flow and the external factors are improved, the method can improve the design level of machine tool, making full analysis and detailed characteristics of the whole machine, for further improvement of the machine has a reference role in science.
Multi-User Detection Based on Regularized Particle Filter in Impulsive Noise
Authors: Xian Jin Long , Dong Ming Hai
Published: March 2014

In this paper, we proposed a regularized particle filter (RPF) algorithm for multi-user detection (MUD) in synchronous code division multiple access (CDMA) system. It is especially suitable for non-linear non-Gaussian system. In the standard particle filter algorithm. If particles weights have vast difference, we needed to re-sampling, but it replicates particles with larger weights and discards particles with small weights, so that it will lose the diversity of particles. Regularized particle filter algorithm can effectively overcome this shortcoming.
An Effective Concatenated Code Encoding Technique with Reduced Storage
Authors: Zhan Kun , Hu Qing Sheng
Published: March 2014

This paper presents an effective encoding technique for super FEC. By using the pre-coding technique, the encoder can process data segmentally and can be multiplexed by multiple data coming from different code words, reducing the storage space of payloads and latency. A concatenated BCH encoder using this improved encoding technique has been designed and realized in FPGA. Simulation results show that the data rate can be up to 10Gbps under the working frequency of 156MHz and the memory usage and processing latency are significantly decreased
Method of ID – BTS Tag Recognition Based on the QT Protocol
Authors: Wang Jie , Huang Zhi Yi
Published: March 2014

With the rapid development of Internet of things, the RFID technology also develops very fast. Because of the RFID system has the advantage of low cost and do not require to contact identification, it has been used in many applications. But when system works, there may be many tags at the same time around the reader and may cause the collision problem. In this paper, we propose a Method of ID - BTS tag recognition based on the QT protocol. This method can effectively solve the problem of tag collision and it has fewer times of tags searching and less traffic.
Research on the Key Technologies for EMU Carbody Design CAD System Based on Pro/Toolkit
Authors: Wang Xu Long , Fang Yi , Song Meng Jun , Feng Tian Chun
Published: March 2014

CAD secondary development is to solve the problem of "personality". In this paper, A CAD System for EMU car-body design was developed based on Pro/Toolkit in Visual C++ Integrated Development Environment. The composition and functions of the system was introduced in details, then several key technologies to realize the function of the system were discussed, including Parametric EMU car-body model building technology based on TBS Database access technology based on Universal Classes Model preview technology based on OCX and Parameter-driven technology.
Performance Evaluation of a New Secured Coded Hybrid Spread Spectrum System under Effect of Different Channels Types
Authors: Mansour Hany A.A. , Fu Yong Qing
Published: March 2014

In this paper, the performance of a new secured coded DS/FFH/TH hybrid spread spectrum system is evaluated. The evaluation is performed using four different spreading codes, which are long sequence, PN sequence, gold sequence, and chaotic sequence. The evaluation is performed under the effect of AWGN, Rayleigh fading, and frequency selective fading channels. The results show that the system presents a superior improvement in the performance especially in the severe fading conditions.
The Design and Verification of TD-LTE/TD-SCDMA Dual-Module Handover Conformance Testing
Authors: Liu Yu , Xu Li
Published: March 2014

This paper describes a testing method about handover conformance and testing framework based on TTCN-3. In addition, the handover conformance testing process between the LTE and TD-SCDMA system is designed, and the testing flow chart and reports are generated by the TTWORKBENCH platform, finally this test system is verified. The results accord with the requirement of the 3GPP conformance testing.
Research on Classification of Remote Sensing Image Based on SVM Including Textural Features
Authors: Huang Feng Hua
Published: March 2014

In order to solve the problems in the traditional remote sensing image based on spectral information, such as low classification accuracy, different object with the same spectral features or the same object with the different spectral features, and limited sample quantity and so on, a remote sensing image classification method based on the support vector machine (SVM) including with textural features is proposed. Using Langqi Island of Fuzhou as experimental area, preprocessing and principal component analysis were made to initialize TM images, and the spectral features and GLCM-based textural features of ground objects were extracted and analyzed respectively. Then, the extraction, training and testing of samples based on the two types of features were finished for training various SVM classifiers, which were used for classifying land use in the experimental area. Through the maximum likelihood method, the BP neural network and the support vector machine (SVM), a crossed classification and contrast experiment was made to two different types of samples based on the simple spectral features and the features combined with texture respectively. The experimental results showed that the SVM classification method including textural features can effectively improve the accuracy of land use classification, and therefore it can be promoted better.
A Blind Extraction Method of FH Signals Based on Improved Symmetric Co-Occurrence Matrix in HF Channel
Authors: Gu Pei , Wang Bin
Published: March 2014

To remove the noise and interference signals in the blind detection of FH signals from HF channel, this paper gives a FH signals extraction method based on the improved symmetric GLCM, by combining the time-frequency analysis with the threshold method of GLCM. Firstly, the paper defines the calculation of improved symmetric GLCM on the direction of frequency and time. Then, the noise threshold is estimated based on the noise probability in the improved GLCM of frequency and the FH signals from the improved GLCM of time can be extracted by using the noise threshold. Simulation results show that the method can extract integrated FH signals under low SNR without any prior information, and that the estimation of noise threshold is more accurate and stable. Furthermore the method is simple with a small amount of computation, which is easy to be applied in the engineering.
Capacity Analysis for Multiple Antennas Network in Spectrum Sharing System
Authors: Sun Kai , Li Fei Biao , Sun Ye Qing
Published: March 2014

In this paper, we consider a system where a secondary base station (SBS) with K antennas utilizes the licensed spectrum of a single primary user (PU) to send information to N secondary users (SUs). Each SU and PU is equipped with one antenna, respectively. The SBS selects only one antenna out of the K antennas by using maximum signal power to leak interference power ratio strategy (SLIR). Using asymptotic analysis, we first derive the average capacity of the best user scheme, with perfect channel state information from the SBS to the PU (interference CSI) available at the SBS. Due to limited cooperation between the SBS and the PU, perfect interference CSI is not always available at the SBS. Then, we characterize their capacity loss in the case that perfect interference CSI is not always available at the SBS.
Research on Virtual Private LAN Service Signaling Protocol and its Application
Authors: Dong Wei , Zhang Zhen Ya
Published: March 2014

Virtual Private LAN Service (VPLS), as a new layer-2 Virtual Private Network (VPN) technology has attracted enormous interest in the filed during the last few years. Unlike traditional layer 2 VPN, which provides only point-to-point connectivity, VPLS is built for multi-point connectivity and has a broadcast capability like a common LAN.A series of RFCs and drafts related to VPLS have been proposed by IETF. To enable VPLS in a real network, signaling setup is the first step. In this paper, we first conduct some research on LDP-based signaling protocol and demonstrate how to set up control-plane communication in VPLS network. Then, based on the research, we implement the signaling protocol in an embedded router system. In combination with existing data plane software, VPLS is deployed in a real network and some experiments are conducted to test the validity of signaling protocol. All the test results show that the implementation of signaling protocol works quite well. With VPLS deploying more widely in the world, service providers and customers will benefit greatly from this technology.
Load Balancing Algorithm of Stream Data Based on Correlation Analysis
Authors: Zou Yong Gui , Tang Yuan Lei , Xia Ying
Published: March 2014

With the development of stream processing technology, achieving load balance of resource accessing becomes one of key problems. However, the existing technologies are difficult to balance the system and maintain the data integrity requirements when large data stream arrive. In this paper, combined with the dynamic load balancing algorithm, we propose a load balancing algorithm of stream data based on correlation analysis (SDCA-LBA). The algorithm analyses correlation of stream data through the window feature statistics. On the basis of ensuring the load balancing of the stream data system, we consider the data correlation. The experiment results show that this method can effectively solve the problem of stream data load balancing, maintain the data integrity, and improve the system data processing capabilities.