bluuebunny/crossref_metadata_2025 huggingface dataset:
An Improved Edge Detection Algorithm Based on Canny Operator
Authors: Zhang Dan Dan , Zhao Shuang
Published: August 2013

The traditional Canny edge detection algorithm is analyzed in this paper. To overcome the difficulty of threshold selecting in Canny algorithm, an improved method based on Otsu algorithm and mathematical morphology is proposed to choose the threshold adaptively and simultaneously. This method applies the improved Canny operator and the image morphology separately to image edge detection, and then performs image fusion of the two results using the wavelet fusion technology to obtain the final edge-image. Simulation results show that the proposed algorithm has better anti-noise ability and effectively enhances the accuracy of image edge detection.
Deformation Analysis of Short and Medium Span Curved Beam Bridge
Authors: Jin Ju , Zhu Xiao Fan , Ren Hai Feng
Published: August 2013

Curved girder bridge can adapt to the complex needs of road, so it applies more and more. Because prestressed curved girder bridge is spatial structure, its deformation under load, prestress etc is very complicated. If ill-considered, it will cause accidents as cracking of beam body, too large transverse displacement and bearing disengaging etc. In this paper, by analysis of engineering examples, using ANSYS finite element analysis software modeling and calculating, we get the deformation law of small and medium span curved girder bridge under deadweight and prestress, and the law has guiding significance and practical value on design.
The Research of Oil & Gas Energy Saving Index Prediction Based on Neural Network and Quantum-Behaved Particle Swarm Optimization
Authors: Liang Ji Sheng , Yang Hui , Yuan Zi Bo , Wang Hui
Published: August 2013

This paper introduces method of gas energy saving target forecast that a quantum particle swarm optimization algorithm and BP neural network, using BP neural networks and quantum particle swarm global search ability strong advantage, through the method that improved average optimal position. It solved the BP neural network is being trapped in local minima and slow convergence speed problem. It realized target forecast that based on BP neural network and quantum particle swarm field energy saving. With the production water injection pump unit consumption data for training data, prediction results show that this method can achieve good prediction effect. It can be applied to practice.
An Accurate Collision Detection Method for Cable Simulation
Authors: Xie Shi Fu , Ma Li Yuan , Liu Peng Yuan
Published: August 2013

In this paper, we present a fast and robust collision detection (CD) and resolution scheme for deformable cable using a new method based on the shortest distance of cable segment axis. We employ a bounding sphere hierarchy (BVH) by exploiting the topology of cable for reducing the collision detection query space. After searching the collision through the bounding sphere hierarchy, the collision detection algorithm will find the two segments which are close enough to require an exact collision check. Furthermore, the exact collision state is decided by our proposed method. Penalty force method is applied to the collision resolution. The comparative experiments show that the proposed method performs more accurate than existing algorithms for deformable cable simulation without substantial computational cost.
Direction Detecting of Blind Sidewalk Based on Image Processing Scheme
Authors: Fu Jian Yu , Gong Ze , Cheng Xiao Run , Cai Ren Mao , Wang Wei
Published: August 2013

The blind have so many inconveniences in their lives. In recent years, more and more blind sidewalks are designed and built for them. This is good news for the blind. However, people would consciously or unconsciously leave some stuff on the blind sidewalk. Therefore, the occupation of blind sidewalk is a serious problem gradually. We decided to develop an application on smartphone to help the blind to avoid troubles referred above. Within the camera on the smartphone, the application detects obstacles on the blind sidewalk based on image processing and warns the blind that there are obstacles in front of him. This paper proposed an approach on detecting the direction of blind sidewalk after the blind leave the blind sidewalk to avoid the obstacles. We used several algorithms of image processing and conduct several experiments to exam this system.
Implement of Lamb Wave Using PZT Phased Arrays for Structural Health Monitoring
Authors: Sun Ya Jie , Zhang Yong Hong , Qian Cheng Shan
Published: August 2013

Phased array theory is analyzed. The PZT phased array is applied in SHM for the Al plate to identify the hole in the structure. The Lamb wave beam steering is controlled by adding the time delay to the signals. The structure can be scanned in half plane by using the phased array theory to control the Lamb wave beam steering. The damage in the structure can be recognized and localized by the phased array method. The identification result is shown on mapped image. The phased array damage localization method is verified by the experiment and the result shows that the method is effective to recognize the hole damage in the structure.
Structural Improvements of Hoisting Jack Bracket Based on Finite Element Analysis
Authors: Fang Na , Huang Han Lin , Li Feng , Zhou Yang Ke , Huang Nie
Published: August 2013

A military vehicle hoisting jack does not work well as a result of its brackets frequent serious offset deformation during use. To solve this problem, the finite element method is applied to analyze the structure of the bracket. In succession, the dimension, chamfer and material are improved with respect to the analysis results. The problem mentioned above has disappeared for more than two years since the improved bracket put into use. The proposed method is valuable.
Real-Time Compression and Storage of “Non-Interest” Image
Authors: Zhang Hui , Zhai Yan Nan , Tang Yan Kun , Liu Jing , Yang Kun
Published: August 2013

This paper studies the real-time compression and storage technology,extraction and collection contains that Images,Image compression standard,Image storage.The paper use JPEG2000 compression standard.Image via IDE interface to hard disk storage.The results show that non-interest areaimage compression and srorage can remove redundant;reduce the amount of data transfer and increase the transmission speed.
The Close Ballistic Target Tracking Based on Extended Kalman Filter
Authors: Han Lu Jie , Cui Shao Hui , Miao Sheng Bing , Han Wen Qing
Published: August 2013

A moving model of close target in a certain velocity is established aiming at the characteristic of low maneuverability. The Extended kalman filter (EKF) is used to reduce the error in location tracking. From the simulation result, it can be concluded that the moving model can describe the moving characteristic of close ballistic target perfectly. The Extended kalman filter can reduce the error in tracking location clearly.
Video Copy Detection Based on Fusion of Spatio-Temporal Features
Authors: Bao Wei , Ji Li Xin , Gao Shi Lin , Li Xing , Liu Li Xiong
Published: August 2013

A video copy detection method based on fusion of spatio-temporal features is proposed in this paper. Firstly, trajectories are built and lens boundaries are detected by SURF features analyzing, then normalized histogram is used to describe spatio-temporal behavior of trajectories, the bag of visual words is constructed by trajectories behavior clustering, word frequency vectors and SURF features with behavior labels are extracted to express spatio-temporal content of lens, finally, duplicates are detected efficiently based on grade-match. The experimental results show the performance of this method is improved greatly compared with other similar methods.
Self-Alignment Algorithm for Strapdown Inertial Navigation System under Strong Flurry Interference
Authors: Wang Yue Gang , Yang Jia Sheng
Published: August 2013

For the strong flurry interrupting, the body will suffer large swaying motion when it is in erecting state ,the output of its strapdown inertial navigation system (SINS) will be disturbed for the high gravitational. center of IMU, the conventional methods are difficult to achieve alignment rapidly and accurately, to solve this problem, an anti-interference self-alignment algorithm for SINS which under strong flurry is presented, which utilizes the continuous attitude update in inertial reference frame to record the attitude changes caused by sway interrupt to remove the angular interrupting, and uses the characteristics that the body exists a shake center whose speed is zero to remove the linear movement interrupting by acquiring the equivalent specific force of the shake center, and then uses the estimation of the initial attitude to determinate the attitude of the body. The simulation result show that the presented algorithm can accomplish alignment quickly even in the presence of strong flurry interference without coarse alignment phase.
Study on the Intelligent Recognition Method for the Maturity Grade of Fresh Corn Ear Based on Computer Vision
Authors: Wang Hui Hui , Sun Yong Hai , Lv Yan , Tao Xue Heng , Wang Xue Jun , Yang Ji Xin
Published: August 2013

In order to realize the intelligent recognition for the maturity grade of fresh corn ear, intelligent inspection system was studied based on computer vision, which could automatically complete the collection and handling of ear graphic and the recognition of maturity of the corn ear. Based on the study, a kind of intelligent recognition method was put forward under the graphic of certain frequency domain. An energy chain was established, and the characters of energy spectrum was extracted through the two-dimensional inverse discrete Fourier transformation on the graphics collected. With the above characters, a probabilistic neural network was developed, the accuracy rate of the recognition method could be 96.7%.
A Novel Quasi-Cyclic LDPC Codes Construction Method for High-Speed Parallel Decoding
Authors: Dong Ming Ke , Wang Da , Zheng Ya Dan , Wu Shang Zhu , Xiang Hai Ge
Published: August 2013

The decoding parallelism of quasi-cyclic low density parity check (QC-LDPC) codes, an important realization factor of LDPC codes, is limited by the block size. Joint row-column (JRC) decoding algorithm, an efficient decoding technique having low computation cost and small iteration number, also suffers from the decoding parallelism limitation in QC-LDPC application. In this paper, a novel LDPC-code construction method is presented and validated. This method constructs the row sets to eliminate the data access conflicts, and it clearly enhances the decoding parallelism while avoids any degradation of bit error rate (BER) performance.
Scalable Parallel Motion Estimation on Muti-GPU System
Authors: Chen Dong , Su Hua You , Mei Wen , Wang Li Xuan , Zhang Chun Yuan
Published: August 2013

With NVIDIA’s parallel computing architecture CUDA, using GPU to speed up compute-intensive applications has become a research focus in recent years. In this paper, we proposed a scalable method for multi-GPU system to accelerate motion estimation algorithm, which is the most time consuming process in video encoding. Based on the analysis of data dependency and multi-GPU architecture, a parallel computing model and a communication model are designed. We tested our parallel algorithm and analyzed the performance with 10 standard video sequences in different resolutions using 4 NVIDIA GTX460 GPUs, and calculated the overall speedup. Our results show that a speedup of 36.1 times using 1 GPU and more than 120 times for 4 GPUs on 1920x1080 sequences. Further, our parallel algorithm demonstrated the potential of nearly linear speedup according to the number of GPUs in the system.
Research on Vulnerability Detection for Software Based on Taint Analysis
Authors: Liang Bei Hai , Qu Bin Bin , Jiang Sheng , Ye Chu Tian
Published: August 2013

At present, Cross Site Scripting (XSS) vulnerability exists in most web sites. The main reason is the lack of effective validation and filtering mechanisms for user input data from web request. This paper explores vulnerability detection method which based on taint dependence analysis and implements a prototype system for Java Web program. We treat all user input as tainted data, and track the flow of Web applications, then we judge whether it will trigger an attack or not. The taint dependent analysis algorithm mentioned in this paper is used to construct the taint dependency graph. Next the value representation method of the string tainted object based on finite state automata is discussed. Finally, we propose the vulnerability detection method for the program. The experiment result shows that the prototype system can detect reflection cross-site scripting vulnerability well in those programs which dont have effective treatment for the user input data.
Research on the Method of Materiel Maintainability Qualitative Requirement Demonstration Based on Virtual Simulation
Authors: Xu Da , Wang Bao Qi , Wu Xi
Published: August 2013

Aiming at the disadvantage of existing materiel maintainability quantitative requirements demonstration method, this paper studied the project of the materiel maintainability qualitative requirement demonstration Based on virtual simulation, in order to determine the materiel maintainability qualitative requirement, the accessibility and visibility as an example to illustrate the virtual demonstration method. It is significant for developing maintainability demonstration and increasing materiel maintainability in the course of materiel digital mock-up designing.
A Two-Screw Squirm Micro-Robot for Gastrointestine: Design and Experiments
Authors: Ke Quan , Yan Guo Zheng , Luo Wei Jie , Chen Wen Wen
Published: August 2013

This paper describes the design of a new prototype of a micro-robot for gastrointestine, which will avoid disadvantages of traditional endoscopes. After analyzing motion pattern of the robot, we decide to use two clamping mechanisms and a linear locomotion mechanism by simulating the squirm pattern of inchworm. Moreover, we make sure the mechanisms are operating effective and stable by using two-screw for transmission. After assembly process, the size of the robot is φ15.24mm×82.87mm, it can extend 9.06mm radically, axial pace is 13.8mm and therefore the theoretical speed is 0.86mm/s. Experimental tests show that the robot are capable of making movement under different environments effectively.
Precision Analysis and Simulation of Locating the Single Source Based on Double-UAVs
Authors: Zhang Qiu Ju , Xie Shao Rong , Luo Jun , Peng Yan , Ye Zhou Hao
Published: August 2013

The passive direction finding cross localization has got great achievement and has been widely used in military and civilian fields. Currently, the researches on passive localization have focused on AOA, TDOA and FDOA. In our system, the passive direction finding cross localization is more effective and useful. We use two UAVs to locate a single source. We apply the geometric method to analysis positioning accuracy. In order to study the performance of a passive direction finding cross localization, MATLAB is used to simulate the result. Finally, the simulation results and performance analysis provide operational technical principle for such a system.
Object Tracking by Corrected Background-Weighted Histogram Mean Shift with Sum of Gradient Mode
Authors: Yang Yu , Jia Yong Xing , Rong Chuan Zhen , Wang Li Juan , Wang Yuan , Zhu Ying , Yue Zhen Jun
Published: August 2013

With a focus on complex environments, the present paper describes a new algorithm in scale changed object tracking through color feature. Mean shift (MS) iterative procedure is the best color-based algorithm to find the location of an object. The algorithm performance is not acceptable once tracking scale changed objects in complex environments. In this paper, the main aim is to improve the MS method, using corrected background-weighted histogram (CBWH) algorithm to reduce the interference of background in target localization. To fit the object scale change, the sum of gradient mode (SGM) is employed. The experimental results show that the proposed method is superior to the traditional mean shift tracking in the following aspects: 1) it provides consistent object tracking throughout the video; 2) it is not influenced by the tracked objects scale changes; 3) it is less prone to the background clutter.
Facial Expression Recognition Based on Fused Spatio-Temporal Features
Authors: Yan Jing Jie , Xin Ming Han
Published: August 2013

Although spatio-temporal features (ST) have recently been developed and shown to be available for facial expression recognition and behavior recognition in videos, it utilizes the method of directly flattening the cuboid into a vector as a feature vector for recognition which causes the obtained vector is likely to potentially sensitive to small cuboid perturbations or noises. To overcome the drawback of spatio-temporal features, we propose a novel method called fused spatio-temporal features (FST) method utilizing the separable linear filters to detect interesting points and fusing two cuboids representation methods including local histogrammed gradient descriptor and flattening the cuboid into a vector for cuboids descriptor. The proposed FST method may robustness to small cuboid perturbations or noises and also preserve both spatial and temporal positional information. The experimental results on two video-based facial expression databases demonstrate the effectiveness of the proposed method.
Improved Pedestrian Detection Based on Extended Histogram of Oriented Gradients
Authors: Zhang Li Hong , Li Lin
Published: August 2013

In order to further improve pedestrian detection accuracy and avoid the disadvantage of original histogram of oriented gradients (HOG), differential template, overlap ratio and normalization method and so on are improved when HOG features are extracted, then more gradient information are extracted and feature description operators can be obtained which describe human detail features better in lager image regions or detection windows. Considering speed, we select support vector machine (SVM) using linear function kernel as a classifier. Multi-scale detection technique and non maxima suppression method are employed for precisely locating the pedestrians in the image. Experiments show that the human detection system improves detection accuracy and still maintains a relatively satisfactory speed.
Heterogeneous Data Exchange Technology Based on XML
Authors: Zhao Jia Hua
Published: August 2013

Database technology is of great variety, structure diversity, solving data integration and exchanges sharing of the heterogeneous database system have became the important problem in all fields. Because of XML is the very important data exchange technology to realize data exchange and transmission ability, this paper mainly explores the data exchange problem how to use XML in heterogeneous database system, , and .Net platform have good support to XML and heterogeneous database system, so the combination of XML and.net, can realize data exchange of heterogeneous database system.
The Convergence Mechanism and Strategies for Non-Elitist Genetic Programming
Authors: Ni He , Zeng Fan Ming , Yu Bo , Sun Feng Rui
Published: August 2013

Genetic programming is an evolutionary algorithm that proposed to solve the automatic computer program design problem by J.R.Koza in the 1990s. It has good universality and intelligence, and has been widely applied in the field of computer engineering. But genetic programming is essentially a stochastic optimization algorithm, lack theoretic basis on the convergence of algorithm, which limit the scope of its application in some extent. The convergence mechanism of non-elitist genetic programming was studied in this paper. A recursive estimation of the probability of population contains satisfactory solution with the evolution algebra was established by the analysis of operators characteristic parameters, then a sufficient condition of population converge in probability was derived from this estimation, and thereby some operational convergence strategies for many common evolution modes were provided.
Pixel-Level Image Fusion Based on Programmable GPU
Authors: Li Hong , Tang Gao Feng , Wu Fen Xia , Tan Cong E
Published: August 2013

A novel algorithm which is image fusion based on GPU is proposed. The fused rule is regional energy. In recent years, the power of the computing of GPU has been greatly improved, which results that using it for the general-purpose computing has a rapid development. The essay researches on implementing the oriental field algorithm on GPU, including selecting GPU memories and dividing blocks and threads of GPU kernel functions. The results of experiment on the GPU of NVIDIA GTX560 are given, which shows that our proposed algorithm can be applied to the field of image fusion. Experiment shows the proposed algorithm has faster calcu-lation velocity and higher evaluation accuracy. The speed of the parallel algorithm is 200 times faster than that of the CPU-based implementation. Meanwhile the mutual information and QAB/F parameters are higher than that of the CPU-based algorithm.
Research of Intelligent Vehicle Internet of Things Based on Anti-Worm Model
Authors: Qi Yan , Han Qian Peng , Zhang Yong Dong
Published: August 2013

ntelligent transport system that based on Internet of Vehicles is regarded as effective measure to guarantee the safety of highway transport. Anti-worm model in vehicular IOT is constructed based on divide-and-conquer with velocity and the drive velocity of vehicle node as the conversion condition between active and passive anti-worms in hybrid anti-worms. Implement this model on the design of Internet of Vehicles terminal, the simulation results show that this model can make the performance of network improved in highway environment regardless of complex road conditions domain and provides a theoretical basis for programming real-time detection strategy and preventing worm destructive epidemics in vehicular Internet of things.
Polarization Imaging Target Detection Method by Imitating Dragonfly Compound Eye LF-SF Mechanism
Authors: Xu Meng Xi , Wang Xin , Yan Xi Jun , Lv Guo Fang , Zheng Sheng Nan , Wang Hui Bin
Published: August 2013

Recently, water surface target detection and tracking for sea, lake, or river are challenging research topics. This paper presents a framework of target detection and tracing based on three-channel synchronization polarization imaging and imitation dragonfly compound eye LF-SF (large field-small field) mechanism. This framework can make full use of the advantages of polarization sensitivity of the compound eyes of a dragonfly, and be useful for effective water surface target detection and motion vector estimation.
Flow Analysis of a Shrouded Aerosol Sampling Inlet
Authors: Wang Bao Qing , Yao Shu , Wang De Qing , Bai Zhi Peng , Wang Xin Hua
Published: August 2013

A shrouded aerosol sampling inlet has been designed from high-speed aircraft. The sampling inlet was conducted using the CFD to perform a flow simulation. The shroud diameter is 150 mm. The inlet is located 180mm from the shroud entrance plane. The shroud is 300 mm long. Results are presented graphically, showing the shrouds have provided significant improvements in flow characteristics. Straighten the streamlines of gas of sampling inlet for flow angles up to five degrees. It is suggested that CFD simulation can be useful for improving the optimum a shrouded aerosol sampling inlet.
Researchment and Realization Based on Android Database Application Technology
Authors: Xu Ming , Yin Xin Chun , Rong Jing
Published: August 2013

This paper puts forward and realizes local model SQLite and remote model SQL Server two different database processing technology based on Android system according to mobile platform for database technology application deep-demand. Meanwhile, this paper expounds the function of WebService when Android system access SQL Server database. The approach proposed in this paper can be applied to the mobile terminal platform and mobile business management system smoothly, with the better advantage of commodity and technical maneuverability.
A PDA-Based System Development and Implementation for Manufacturing Execution System
Authors: Wang Xin , Yan Guang Rong
Published: August 2013

This paper describes a PDA-based mobile system of workpiece data inquiring and acquisition that can process data by calling the Web Service. The system is practically tested and verified in a MES project, the result shows that it can provide the effective product information through scanning bar code, and improve the rapid reaction capability and work efficiency greatly.
Design of Software Defined Radio Platform Resource Model Based on SCA
Authors: Yang Yun Long , Lu You Rong , Cai Qian , Lai Ying Yong
Published: August 2013

Software Defined Radio (SDR) platform resource model is the description and organization of the SDR platform resource. Its the foundation of the SDR platform resource management. Through these years, the Software Communication Architecture (SCA) has becoming the most famous specification for SDR, which standardizes the description for the SDR platform resource. Aiming at the shortages of the resource model in SCA, this paper discusses a SDR platform resource model, proposes a transfer port model and a connection model, designs a nested data model for the SDR platform resource, and a plane graph model which is easy to analyze and process.
Study on the Application of Virtual Prototyping Technology to UAV Fault Diagnosis Training
Authors: Jiao Yong Kang , Li Xiao Min
Published: August 2013

In accordance with the characteristic that UAV equipment is hard to realize the real fault diagnosis training, a design scheme of fault diagnosis training based on virtual prototyping is presented. The training-oriented virtual prototyping model is decomposed into two parts, appearance model and mechanism model. The design thinking and training flow of fault diagnosis training are given, and two different kinds of training modes are used to make the training much more targeted. In the end, Virtools and third-party modeling software are adopted to build the virtual environment, the verification of UAV ground control station achieves the purpose of enhancing the performance capability of maintenance man.
The Research of Equipment Simulation Technology Based on TCP
Authors: Xie Yang Zhong , Ye Bang Yan
Published: August 2013

According to the development of personnel positioning system, with the use of data storage technology, multithreading technology, information buffer technology and TCP communication technology, this simulator can not only simulate multidevice reporting to multiuser, but also realize pressure test for the upper software by adjusting the amount of reporting data, therefore, the software problems can be found in advance and solved in time.
Localization of the Sound Source Based on Directional Orthogonal Periodic Wavelet Basis
Authors: Wang Xiang Shi , Li Ping
Published: August 2013

This paper introduces a smooth and adjustable periodic interpolatory wavelet which is sensitive to the direction of the signal.It is produced by orthogonalization ,in this way it constitutes directional orthogonal wavelet basis in the two-dimensional space ; the position of the sound signal is detected by fast transform of this wavelet and the result is presented.
Application of EEMD Energy Distribution and Grey Incidence in Gearbox Fault Diagnosis
Authors: Zhang Wen Bin , Zhu Jia Xing , Pu Ya Song , Zhou Yan Jie
Published: August 2013

In this paper, a new comprehensive gearbox fault diagnosis method was proposed based on rank-order morphological filter, ensemble empirical mode decomposition (EEMD) and grey incidence. Firstly, the rank-order morphological filter was defined and the line structure element was selected for rank-order morphological filter to de-noise the original acceleration vibration signal. Secondly, de-noised gearbox vibration signals were decomposed into a finite number of stationary intrinsic mode functions (IMF) and some IMFs containing the most dominant fault information were calculated the energy distribution. Finally, due to the grey incidence has good classify capacity for small sample pattern identification; these energy distributions could serve as the feature vectors, the grey incidence of different gearbox vibration signals was calculated to identify the fault pattern and condition. Practical results show that the proposed method can be used in gear fault diagnosis effectively.
Forward Prediction-Based Approach to the Out-of-Sequence Measurement Problem with Correlated Noise
Authors: Yuan Ding , Hu Jian Wang , Ji Bing , Liang Wei
Published: August 2013

In target tracking systems, measurements from the same target can arrive out-of-sequence. Such OOSM arrivals can induce negative-time measurement update problem. In order to solve the l-step-lag OOSM problem with correlated process noise and measurement noise, a new algorithm based on forward prediction is proposed. A modified information filter is adopted so as to eliminate the correlated noise. By defining an equivalent measurement the l-step-lag OOSM problem is transformed into 1-step-lag problem. The new algorithm is independent with the discrete time model of the process noise. The storage requirements and calculations are reduced. The simulation results show its effectiveness.
The Simulation of Driving Wheel Slip Control Based on the Fuzzy Theory
Authors: Yue Jing Tao , Tang Li , Tao Xiang He
Published: August 2013

This paper set up the slip control mode of drive wheel base on the fuzzy theory .By the made of input and output variable of fuzzy controller and ruler ,the mode of slip control is set up ,to communicate between the MATLAB and the AMESim system, by the simulation and calculation of the control of valve output , the result of calculation tested the controller s rationality and practicability.
A Study of Numerically Controlled Lathe Simulation System Based on 3D Modelling Technology
Authors: Lin Hai Yun , Wang Yu Jiao , Xie Yong Gang
Published: August 2013

Based on a study of the Virtual Reality Technique and Numerical Control Processing Technique, this paper proposes the overall structure of virtual numerical control lathe system. Then the paper, with a combination of the virtual processing system theory, further investigates into the modeling method and machining process of the virtual processing system. By use of the 3DS Max Technique, the paper builds geometrical models of static objects, and builds behavioral models and physical models of dynamic objects by the redrawing technique and particle system method. At last, the paper simulates the whole numerical machining process.
Control for Optimized Air-Gap Magnetic Field of Five-Phase Induction Motor through Dual-Plane Asynchronous Rotation Transformation
Authors: Yin Mu Yi , Zhang Ling , Zhu Peng , Guan Fei
Published: August 2013

This paper presents a control scheme with an optimized air-gap magnetic field for five-phase induction motor, the control objective is to generate a quasi-square magnetic flux density by the control of excitation and torque currents in the two planes. In this paper, the decoupling vector control model of five-phase induction motor in d1-q1-d3-q3 coordinate system is analyzed, and the direct and quadrature current components in the third harmonic plane as non-linear functions of the fundamental are built, which guarantee the air-gap magnetic to be a constant quasi-square waveform irrespective of the mechanical load, and then the third harmonic current injected method for improved air-gap magnetic field is proposed. Finally, the simulations by Matlab/Simulink and experiments are implanted on a 5.5 kW, five-phase concentrated full-pitch windings induction motor. The results indicate that the proposed method can satisfy the requirement of a quasi-square air-gap flux density, and the air-gap magnetic field gets improved.
Data Acquisition and Control of WiFi Wireless Network
Authors: Zhang Xiao Zhi
Published: August 2013

This article is based on the experimental device of ShangHai Bizideal Information Technology Company, mainly introduce the method of building WiFi wireless network in the laboratory environment, and data acquisition and control can be used by means of software after that.
Performance Evaluation of Finite-Resolution IR-UWB Signal Detection
Authors: Ma Yan , Sun Fei , Li Peng , Yin Hua Rui
Published: August 2013

Finite-resolution digital receiver is considered to be a potential solution to meet the severe demand of ADC that results from wideband of IR-UWB signal. However, the quantized distortion is totally different from full-resolution quantized signal. In this paper, the finite-resolution quantized signal model is derived. Based on the correlation receiver, estimation and detection performance of finite-resolution and full-resolution digital receiver are analyzed in the paper. The analytical results agree with the numerical results exactly and the template estimation performance using midtread quantizer is better than that using the adjacent midrise quantizer.
Electrical Parameter Detecting System of Jordan Refinner Based on Virtual Instrumentation
Authors: Yang Shi Feng , Fu Peng , Yang Ye
Published: August 2013

There are some disadvantages like that single-function and lower extent of automation in the electrical parameter detecting system of Jordan refiner, so its hard to adapt the system to the demand of the large-scale automatic detecting industry. Depending on the jordan refiner used in paper making, basing on the Labwindows/CVI software to be the host computer and the idea of virtual instrumentation, this devise constructed three-phase detecting system of the electrical parameter which using CS5460A power/energy computation chip for AD converter produced by Cirrus Logic company. The hardware construction and the software designing method are introduced; the concrete plan of enhancing the electrical parameter detecting precision is analyzed. The actual test suggests that the whole system is advantaged in high precision, fast speed, shot exploiting period and deeper extent of automation.
The Target Vehicle Movement State Estimation Method with Radar Based on Kalman Filtering Algorithm
Authors: Jia Xin , Wu Zuo Long , Guan Hsin
Published: August 2013

In this paper, based on Kalman filtering algorithm, a method of target vehicle motion state radar estimation with radar (or lidar) is presented. The state equations is established based on rigid plane dynamics theory, and then with a Kalman filter to do radar data processing, the position, velocity and acceleration of the target vehicle can be estimated at the same time, so that to cover the shortage that acceleration information can not be gained with radar system. Through simulation and field tests it is verified that the detection accuracy of position and velocity of target vehicle is increasing, and the acceleration of target vehicle can be estimated effectively and accurately.
Research on Command & Control Simulation System Architecture
Authors: Liu Jie , Zhang Xue Min , Ge Tao , Sun Hai Tao
Published: August 2013

The Key Problem of Command&Control Simulation is to solve how to communicate between Command&Control information and operation models of simulation system. Aiming at such problem, the BML and BOM technical are used together. Meanwhile, both models are presented in XML. Thus the Command&Control Simulation System Framework is built. At the same time , the basic solution thought for the key problems during the building of the simulation system has been put forward .
The Analysis of Marine Magnetic Field Detection Influenced by the Platform Migration
Authors: Wang Dan , Cheng Chi
Published: August 2013

Marine magnetic field detection is influenced by the environment of marine and the platform,The influence of the platform is mainly caused by platform migration.The variation of the geomagnetic field caused by different directions of the platform migration are compared by using the World Magnetic Model WMM2010.We come to the conclusion that the geomagnetic field variation is the biggest in the direction of depth.The conclusion can be used for automatic correction of the marine magnetic field observation platform .
A Practical Fuzzy Adaptive Control Strategy for Multi-DOF Parallel Robot
Authors: Meng Wei , Zhou Zu De , Liu Quan , Ai Qing Song
Published: August 2013

Multiple Degrees of Freedom (DOF) parallel robots possess the advantages of being compact structure, great stiffness, stability and high accuracy, so such platforms have been widely used in application areas as diverse as the spacecraft motion simulators, radio telescopes, and medical rehabilitation devices. In this paper, after giving a brief review on the control strategies for parallel robot, a 6-DOF robot system for medical purposes based on simulation as well as real environment is established. In order to improve the position tracking accuracy for such objects with time-varying and nonlinear parameters, a practical fuzzy adaptive controller is designed based on the kinematics of parallel platform, where fuzzy inference units are utilized to modify the PID parameters in real-time by using the position feedback from the robot actuators. Finally, both virtual and actual experiment results demonstrate that the proposed algorithm is able to effectively reduce the position tracking errors compared with the traditional PID controller, and the reliability and feasibility of such parallel robotic system can also be guaranteed.
The Design of Water Supply Automatic Control System of Ship Based on PLC
Authors: Wang Rui , Zheng Wei Gang
Published: August 2013

the design of vessel centralized water supply system which can use diesel exhaust heat and solar energy hybrid, the system is better than the traditional water supply system and it can make full use of waste heat and solar energy,so the design will save the energy and protect environment .PLC centralized control system can realize the purpose of energy saving and intelligent control.
Multipath Ring Routing in Wireless Sensor Networks
Authors: Huang Gui Min , Tao Wu Jin , Liu Ping Shan , Liu Si Yun
Published: August 2013

In the past years, the routing problems of wireless sensor network (WSN) have attracted great interest, and many routing protocols for WSN have being proposed. However, these routing protocols pay little attention to the transmission reliability. Therefore, this paper proposes a new multipath ring routing algorithm for WSNs. The proposed algorithm utilizes ring level to separate sensor nodes into several sections, which can improve the reliability of the data transmission. Using the multipath ring routing data delivery improves as an average of 27.58% to leach routing and 113.06% to directing routing.
A General Architecture for Monitoring Data Storage with OpenStack Cloud Storage and RDBMS
Authors: Hu Bin
Published: August 2013

The process monitoring and fault diagnosis is one of the important problems in the process industry. Archived monitoring data is valuable for long-term analysis and decision making. In this paper, we propose a general architecture to manage and storage archived monitoring data. It has been implemented within an archiving terabytes of monitoring data in metallurgy industry. It is an effective way to solve the problems of the efficiency and expandability via practical applications.
A Research on Anti-Slip Regulation for 4WD Electric Vehicle with In-Wheel Motors
Authors: Zhou Li , Xiong Lu , Yu Zhuo Ping
Published: August 2013

This paper proposes a wheel slip control strategy for 4WD Electrical Vehicle with In-wheel Motors. In the first part of this paper, a brief introduction of sliding mode control for acceleration slip regulation is given. Consider that its control effect varies with road conditions, another algorithm which can automatically adapt to different roads is designed. This method takes advantage of the peculiarity of the longitudinal static tire force curve and regulates wheel slip ratio to the detected optimal value, aiming to maximize the traction force while preserving sufficient lateral tire force. Simulation results show that the slip rate can be regulated to a value around the optimal slip ratio, and the driving torque is very close to the maximum transmissible torque. The control strategy achieves stronger stability, shorter driving distance and hence better control performance.
Design and Implementation of Network Devices Monitoring System Based on SNMP
Authors: Liu Liang , Wang Wei Feng , Wang Zhi Lei
Published: August 2013

People requirement network reliability and security more and higher as the information age of the Internet to promote the rapid development of business and Internet using unceasingly thorough, network equipment, network structure is complicated. This paper design and implementation of a monitoring system to monitor the work status of the network equipment, visual display of various indicators of the network, in the equipment after failure to timely, automatically to the network administrator alarm.
Research on Regulator Performance Analysis and Test Method of Switching Power Supply
Authors: Wang Huai Feng , Li Ming , Luo Wu Zhong
Published: August 2013

Power supply's performance is directly related to the performance of electronic devices. It puts forward higher requirements on the performance of computer switching power regulator,with widely using of high-power in family and computer overclocking technology applications. In this paper, switching power supply is modeled by using the simulink of matlab, simulations are performed to analyze the influence of source effect and loads effect on the performance of switching power regulator. Switching power regulator performance is affected both by source effect and loads effect during normal operation of computer, regulator performance under the influence of a single factor is difficult to test. For this problem, a feasible test method of switching power supply regulator performance is proposed. By building a test platform, the proposed method is verified.
A Web Based Method for Measuring Semantic Relatedness between Words
Authors: You Bo , He Ting Ting , Li Fang
Published: August 2013

Semantic relatedness measures play important roles in many fields, such as information retrieval and Nature Language Processing. There are mainly two kinds of traditional methods to measure semantic relatedness: dictionary based and corpus based. However, with the development of information technology, web search engine is used to do this work. In this paper, we propose a method integrating page counts and web-based kernel function for measuring semantic relatedness between words. It gets a better result than using page counts and web-based kernel function alone. Experimental results show Spearman rank correlation coefficient can reach 0.63 and Correlation reach 0.724.
Localization of Mobile Robot Based on Least Square Method
Authors: Li Jia Lu , Long Lin Bing , Zhang Bao Feng
Published: August 2013

Localization is the basis for navigation of mobile robots. This paper focuses on key techniques of localization for mobile robots based on vision. Firstly, the specific measures and steps of the algorithm are analyzed and researched in depth. In the study, SIFT algorithm combined with epipolar geometry constraint is used on the environment feature point detection, matching and tracking. And the method of RANSAC combined with the least squares is used to obtain accurate results of the motion estimation. Then the necessary experiments are carried out to verify the correctness and effectiveness of algorithms. The experimental results verified the accuracy of the improved algorithm.
An Applicable Technical Analysis Based on Accomplishment of Vehicle Troop Monitoring System
Authors: An Li , Ye Xue Mei , Zhang Yu Tong , Tian Jun
Published: August 2013

Nowadays motorcades are often used in entertainment and work in our daily life. Accordingly, it has become our major concern about ensuring the security of a motorcade, improving coordination of all the vehicles in the course of driving and increasing the efficiency of accomplishing various tasks. This paper proposes an idea about devising a motorcade monitoring system, designs a functional structure of the system, constructs a motorcade structure model according to its features and sets the distance between vehicles at different speed as well. ZigBee is selected to apply for monitoring a motorcade by applicable technical analysis. Besides, the effects of mobility of vehicle nodes upon application of ZigBee are analyzed in this paper.
A Video Bit Rate Control Algorithm Based on Weighted Estimate of Image Brightness Difference
Authors: Zhu Hong Gao , Feng Qi
Published: August 2013

Rate control is the core issue to realize video encoder, and it is also one of the key factors determining the quality of video code system. Given the MAD (Mean Absolute Difference) prediction and the drawback of bit rate control in the BU (Basic Unit) layer, improvements are put forward on the basis of analyzing and researching the G012 rate control algorithms in this paper. In this paper, we proposed a new video bit rate control algorithm to overcome the drawback of bit rate control in the BU (Basic Unit) layer. Combined with the image brightness gradient value to estimate in the MAD prediction, the allocation encoding bits method based on the PSNR (Peak Signal to Noise Ratio) is proposed in the rate control of BU layer. The experiment results show that compared with JM algorithms in H.264 standard reference software, the improved algorithm is enhanced in the PSNR.
Controller Design for ISG Hybrid Electric Vehicle Based on SAE J1939 Protocol
Authors: Li Yong Zhong , Ji Xin Jie
Published: August 2013

During the design of IVECO ISG hybrid electric vehicles (HEVs), the ISG electrical propelling system was inserted into the Duling IVECO vehicle. Thus the controller of ISG electrical propelling system constructed the distributed control system with the other controller. However, field bus is one of key techniques in the distributed control system. Firstly, CAN communication protocol for ISG controller based on the SAE J1939 CAN bus protocol was presented, then the hardware and software of ISG controller was designed in modular.
A Binocular Vision System for Underwater Target Detection
Authors: Shen Jie , Sun Hong Ye , Wang Hui Bin , Chen Zhe , Wei Yi
Published: August 2013

For the underwater target detecting task, a binocular vision system specialized to the underwater optical environment is proposed. The hardware platform is comprised of a image acquising unit, a image processing unit and a upper computer. Accordingly, the loaded software system is operated for the camera calibration, image preprocessing, feature point extraction, stereo matching and the three-dimensional restoration. The improved Harris operator is introduced for the three-dimensional reconstruction, considering the high scattering and strong attenuation by the underwater optical environment. The experiment results prove that the improved Harris operator is better adapt to the complex underwater optical environment and the whole system has the ability to obtain the three-dimensional coordinate of the underwater target more efficient and accurate.
Investigation on Condition Monitoring of Convertor
Authors: Xu Sheng You , Chen Min You , Ran Li
Published: August 2013

Packaging-related failure has been recognized as one of the principal root causes of convertor failures, condition monitoring is a cost-effective means of improving convertor reliability by power electronic system operator. In this paper, an approach is presented to monitor failure by identifying the case temperature. Firstly, the case temperature is measured at real-time, the transient curves are built based on the measured data respectively. Then, extracting the slope of case temperature from the transient curve during its operation. It is because that the external characteristic of convertor is the reflection of internal condition, once the slope value of the transient curve is higher than that of the normal condition at the same working point, taking account of the masking effect of measuring accuracy and errors, a conclusion can be get that the convertor condition is abnormal. Finally, experiment has validated the proposed method.