bluuebunny/crossref_metadata_2025 huggingface dataset:
Introduction of a CNC Multi-Tip Turning Tool Structure with Option of Automatic Follower Rest
Authors: Wang Song Hao , Chen Wei Bin
Published: May 2013

A CNC controlled Multi-Tip Tool Structure for fastturning process is presented in this paper, to prolong overall tool life aswell as to shorten machining time. Instead of one cutting edge in regularturning process, several cutting tools are used simultaneously in thisassembly. With this arrangement, radial cutting forces are balanced with eachother and the steady or follower rests in a regular lathe can be eliminated,for long and thin work pieces. Make the tooling structure more compact and morefeasible for multi-head CNC lathe or combo machining.
Research of Reliability Growth Evaluation of CNC Machine Tools Based on Weibull Distribution
Authors: Yu Jie , Yu Shuang , Song Yu Mei , Wang Ting Ting , Li Qiao Chan , Sun Li Da , Li Zhan Guo
Published: May 2013

In light of the characteristics and small samples of the research of the CNC machine tools based on Weibull distributions，dynamic modeling and middle rank are used to evaluate the failure rate of each test phase. Traditional Duane model are referred to fit parameters of the reliability growth model with least squares.
Geometric Error Modeling of a Vertical Machining Center
Authors: Liang Gui Qiang , Zhang Jun Xian , Zhao Fei Fei
Published: May 2013

The effect of geometric error on machining accuracy was researched by multi-body system theory, as well as homogeneous coordinate transformation method. Taking a vertical machining center as example, topological structure of the machine tool was described by lower body array. Lower body array of the machining center, motion freedom between adjacent bodies and geometric errors of the vertical machining center were analyzed. Geometric errors of the bodies in the multi-body system were expressed by homogeneous coordinate transformation. Error model for machining accuracy was deduced and geometric errors having influence on the machining accuracy were identified. The research results provide guidance for analyze of geometric errors on machining accuracy.
Research on a Rapid S-Shaped Acceleration and Deceleration Method for Computerized Numerical Control System
Authors: Wu Ting , Zhang Li Bing
Published: May 2013

In order to get over the limitationof the velocity planning method of computerized numerical control (CNC) system,a rapid S-shaped acceleration and deceleration method is presented in thispaper. In the method, the rapid solving model of S-shape velocity planning isproposed, and these displacement, velocity and acceleration formulaeof a rapid S-shape acceleration and deceleration model are derived. Compared with the proposedapproach and the traditional velocity planning method, the simulative and experimental resultsshow that the proposed method is smoother, and the machining efficiencyis greatly improved.
The Closed-Loop Identification of Dynamic Parameters Based on Rigid Model for the Feeding System of Commercial Numerical Control Machine
Authors: Chen Guang Sheng , Li Hao Lin
Published: May 2013

The precision of high-speed CNC (Computer Numerical Control) machine are greatly influenced by the dynamic characteristics of servo system. In this study, by investigating the motor of the servo system of CNC machine, an inertia and damping linear identification model is established using current as input signal and motor rotation velocity as output signal. Moreover, the excitation signal generation method based on G-code, concerning the closed-loop identification of servo system, is proposed. Furthermore, to verify the effectiveness of the closed-loop identification, an experiment is carried out on the feeding system of a commercial NC machine. The experiment results show that the proposed method performs well with effective stimulation, rapid convergence and accurate results.
Finite Element Dynamic Analysis of the Shafting of Transmission-Laser-Scanning-Emitter
Authors: Cheng Jia , Wang Yi , Cui Chuan Jin
Published: May 2013

The transmission laser-scanning diameter-measurement system uses the parallel laser-scanning principle to achieve high-precision measurements of radial dimensions of shaft parts. The transmission laser-scanning emitter is a mechanical scanning device of which scanning accuracy has a significant impact on stability of the measurement system. The dynamic model of the emitter's shaft rotor is established. Dynamic performances according to variant parameters are derived by finite element analysis simulation. Characteristics of high-speed-rotors with different structures, such as vibration mode and natural frequency, are summarized to provide theoretical basis for shafting design.
The Location of Quadruped Robot with Hand-Fused-Foot Based on Binocular Vision
Authors: Wang Xin Jie , Yang Zhi Lin , Liu Jie
Published: May 2013

Robot location is a key technology of quadruped robot with Hand-fused-Foot. The location method based on binocular vision system is studied for quadruped robot with Hand-fused-Foot. After obtaining image by a single camera, the object is segmented by using characteristic extraction method based on color characteristic. Then image processing such as filtering (de-noising) and opening is performed. The object is identified and its centroid coordinate in image is obtained. Location of robot based on environment reference--object coordinate is achieved. Experiments show the effectiveness and the accuracy (within 4cm) of the method.
Study for Workpiece Identity Based on the BP Neural Network and the Zernike Moment
Authors: Wei Xian , Zhang Jing Dong , Qi Xue Mei
Published: May 2013

The robots identify, locate and install the workpiece in FMS system by identifying the characteristic information of target workpiece. The paper studied the recognition technology of complex shape workpiece with combination of BP neural network and Zernike moment. The strong recognition ability of Zernike moment can extract the characteristic. The good fault tolerance, classification, parallel processing and self-learning ability of BP neural network can greatly improve the accurate rate of recognition. Experimental results show the effectiveness of the proposed method.
Research Status on Road Information Extraction from High Resolution Imagery
Authors: Chen Hao , Ma Li , Liang Tian
Published: May 2013

Automatic road extraction from remote sensing imagery is one of the hot topics in the field of remote sensing. surveying and mapping. computer vision. etc. In this paper. we summarize the research status of road extraction from high resolution remote sensing imagery. The difficulties and trends of the research are analyzed in the paper.
Grinding Machine Column Structure Dynamic Optimization
Authors: Ge Yin Ming , Li Qing , Li Yu , Wang Xian
Published: May 2013

Static and dynamic characteristics of grinding machine column structure experientially designed are studied based on finite element models. Then propose structure modifications, analyze characteristics, and select the better one. Study the natural frequency changes in the sensitivity of the wall thickness and rib thickness, and determine the parameters to be optimized. Expert Design software is used to finish experimental design of the parameters, and establish the second-order response surface model. So far a multi-objective optimization model is set up easily. Here using the corresponding ideal point method with relative squared weighting method transforms it into a single - objective one. Some optimal design schemes are received by changing the weight coefficients. ANSYS simulation demonstrates that the result of optimized design is satisfied and the design method is suitable.
Research of Face Recognition Based on Wavelet Transform and EHMM
Authors: Li Xian Wei , Chen Guo Long
Published: May 2013

A method was presented which was based on Wavelet Transform and Embedded Hidden Markov Mode (EHMM). The proposed algorithm can reduce the affections such as illuminations which affects the recognition rate using the method of Principal Components Analysis (PCA).Analyzed the critical problems that affect recognition rates in Wavelet Transform. Experimental results show that the presented method can get better results.
3D Temperature Field Reconstruction of Flame from Images
Authors: Su Jie , Wang Xu Guang
Published: May 2013

This paper proposes a novel algorithm of 3D temperature field reconstruction for flame. Shape of the flame is determined by visual hull technology first, and then the flame is divided into voxels, 3D temperature field is achieved after computing temperature for each voxel. Extended dynamic range irradiance images are generated in order to minimize the error of temperature field caused by overexposure or underexposure. To further improve the accuracy of the temperature field, integral operation for radiant existence of flame on camera response band is performed. The computational complexity is efficiently reduced with the lookup table between temperature and radiant existence. Calculation of flame temperature field is transformed into a convex optimization problem. Experimental results show that our algorithm is simple and flexible, and easy to implement, the results accord with physical facts
Identification of the Former and after Transformation of a Steel Headframe
Authors: Wu Han , Jiao Jin Feng
Published: May 2013

This article is studied a coal mine waste rock mine shaft steel headframe which is used more than 20 years and the need of the headframe process transformation. The main components of steel headframe (for example: headframe column, beams and bracing) is sampling inspected the geometry and weld size. At last, SAP2000 is used by analyzing the steel headframe the former and after transformation on the basis of the on-site detection. Field testing and theoretical analysis showed that: the main steel headframe and the envelope structure is largely intact and the only part of the rod local area is a certain degree of corrosion, the connected nodes are basically in line with the requirements of the original design; The steel headframe structure which has transformed and components meet the requirements of national norms.The Identification and reinforcement of the project, will provide a reference for future similar projects.
A Research on Simulation for Semi-Active Suspension Control Based on Immune Algorithm
Authors: Tan Guang Xing , Jian Wen Guo , Li Shan , Ye Xin Peng
Published: May 2013

Based on two-degrees-of-freedom (2-DOFs) quarter-car semi-active suspension model, a method for semi-active suspension control is proposed based on immune algorithm. According to this algorithm, an immune controller is designed to research and simulation for semi-active suspension control. Simulation results show that the proposed algorithm is effective，and compared with the passive suspension and fuzzy logic control (FLC) algorithm, its control capability is the best. Using immune controller, the RMS of body vertical acceleration, tire loads and suspension distortion are significantly reduced, so vehicle ride performance, handling stability are effectively improved.
Design and Research on the Control System of Magnetic Plate-Type Seeding Production Line
Authors: Yan Xiao Yue , Hu Jian Ping , Lu Chuan Tong , Wang Xun
Published: May 2013

A new magnetic plate-type precision seeding production line and its control system were designed based on the magnetic seed-metering principle. The control system is consisted of DVP-40ES Programmable Logic Controller and LJD-51-XB+ Mico Controller Unit. The PLC control system controls the working flow of the production line. The MCU control system controls turnover movement of the sowing board and up-and-down movement of the seed case for whole tray seed-filling and sowing. Seeding tests for the magnetic powder coated rape seeds showed that the rate of single-seeding, over-seeding and miss-seeding were 90.2778%, 4.6875% and 5.0347% respectively. The seeding speed was 257 trays per hour, an average of each tray with 14s. It meets the requirements of precision seeding. The system design is reasonable and reliable.
Design of Digital Wire Feed Control System Based on LPC2132
Authors: Shi Jin Shui
Published: May 2013

Aiming at the problem of MIG welding and considering the existing analog control wire feed system has the disadvantages of low response speed, low control accuracy and poor stability. This thesis designs a set of digital control wire feed system based on LPC2132 microprocessor and introduces the control principle of wire feed motor, CAN bus interface circuit and PID control algorithm. Under the condition of power grid voltage fluctuation and load change, we do a lot of experiments. The results show that: the wire feed change rate of designed system is very small, which not only meets the requirements of JB/T-1998.MIG/MAG arc welding standard, but also greatly improves the accuracy and stability of control system.
Research on Analysis and Control Strategy of High Frequency Phenomenon in an Isolated Power Grid
Authors: Ma Shi Jun , Wang Hao , Tian Jian She , Meng Li
Published: May 2013

An operation and control simulation platform for isolated power grid are set up, which is based on the detailed models of the boiler, turbine, Coordinated Control System (CCS), Digital Electric-hydraulic Control system (DEH), Overspeed Protection Controller (OPC) and so on. By means of simulation, the accuracy of this platform is verified and the cause leading to high frequency of the isolated power grid is proposed..In addition, the control strategy for high frequency of isolated power grid based on wide area measurement data is proposed.
Sliding Mode Control of Switched Reluctance Motor with High Torque in Low Speed
Authors: Zhao Ying , Wu Shuang He , Liu Huan Huan , Du Nai Cheng
Published: May 2013

This paper analysis the problem of a switched reluctance motor (SRM), which is based on the phase currents by using three independent current sensors. In addition, the reaching condition and stability conditions of sliding mode control (SMC) method has been discussed, and it has been applied to SRM speed control loop that compensates the torque ripple on the torque output. The proposed sliding mode controller performs better than the traditional PI controllers and is also more effectively to the external disturbances. For the switched reluctance motor, one of the factors of the torque ripple is mutual inductances, so the mathematical model of the SRM should consider its influence. And, the mechanical sensor has been used to sense the rotor position. The simulation experiment results of the control scheme using Matlab show that the proposed method for the switched reluctance motor is effective.
Hinf Control of Uncertain Takagi-Sugeno Fuzzy Descriptor Systems
Authors: Ma Bao Ping , Chen Ming
Published: May 2013

This paper focuses on the problem of Hinf control for uncertain Takagi-Sugeno fuzzy descriptor system with time-invariant norm-bound uncertainty. Sufficient condition for robust Hinf control with state feedback is derived. It is shown that the control laws can be obtained by solving a set of linear matrix inequalities (LMIs) which is numerically tractable with commercially available software. Numerical example is given to demonstrate the advantage of the proposed method.
Research on Grinding Control System Design Method Based on Multi-Agent System Model
Authors: Zhao Hong Wei , Qi Yi Ming , Liu Yu Qi , Pei Shi Hui
Published: May 2013

This paper proposes a Multi-Agent grinding control system model based on the blackboard model and in accordance with the Multi-Agent Systems modeling method . We hierarchical decompose of the grinding control task, establish a grinding control subsystem model, we establish the specific function of each subsystem model and establish a complete multi-Agent grinding control system structure. We establish a Multi-Agent System based on the blackboard model and multi-Agent Communication and Coordination Mechanism. This paper describes the architecture of the control multi-Agent grinding system and its function results in details and designs a blackboard coordination model, the results shared collaborative mechanisms and Multi-Agent collaboration conflict resolution strategies. This system model reduces the difficulty of the operation of the grinding control, multi-Agent collaboration enhance the system's ability to execute, decision-making consultation mechanisms improves the control precision and accuracy of the system.
Improved Control Strategy of Grid Side Rectifier for the Double-Fed Wind Power System
Authors: Xiao Gan
Published: May 2013

In the double-fed wind power system, gird voltage sags would result in some serious problems such as a fluctuation of the DC-link voltage, an instantaneous energy feedback from turbine side to grid side, which affected the steady performance of the wind power system. According to these problems, a dynamic feed forward control strategy based on the traditional feed forward control was studied, with an inhibition of above disturbances. MATLAB simulation and DSP experiments verify the effectiveness of the improved control strategy.
Nonlinear System Control Strategies
Authors: Li Cong , Liu Xi Min
Published: May 2013

A nonlinear model of a liquid level process is obtained on the analysis of its nonlinear characteristics. Then a practical nonlinear system control strategy of the liquid level process based on single chip computer is presented. By measuring the liquid level and flow rate, two key parameters of the liquid level process, the amplification coefficient and time constant under different load are calculated. Then the control signal is calculated according to the selected control method and the automatic control of the nonlinear system is realized. The test results are given and it shows that the nonlinear control strategy is better then the linear control strategy. The nonlinear control strategy can improve control quality considerably.
Synchronization between Two Different Fractional Order Hyperchaotic Systems
Authors: Zhang Wei Wei , Chen Ding Yuan
Published: May 2013

Chaos synchronization between two different fractional order hyperchaotic systems is presented. By using feedback controlmethod, the synchronization between two different fractional orderhyperchaotic systems is achieved based on Laplace transformation theory. Numerical simulations illustrate the effectiveness of the proposed theory.
The Development of DSP-Based FFU Motor Digital Variable Frequency Control System
Authors: Wang Yi Wang
Published: May 2013

The variable frequency speed control is one of the most important issues for fan filter unit (FFU) system. A novel digital variable frequency control system for FFU motors were proposed and developed to decrease running losses, and improve the speed control effect and accuracy. The system uses high-performance digital signal processor (DSP) TMS320F2812 as the control core, which adopts a dedicated motor pulse width modulation (PWM) control module to achieve the FFU motors real-time online digital variable frequency control. The composition and working principle of control system were illustrated, the hardware and software design were illustrated in detail. Finally, the experimental results on control system prototype were given, which confirm the effectiveness and validity of the control strategy, and demonstrate that the proposed method can achieve accurate variable frequency speed control of FFU motors.
Application Research on H∞ Optimization Control of Permanent Magnet Linear Servo System Based on Adaptive Fuzzy Control Strategy
Authors: Zhu Xiao Ping , Wang Xiu Ping , Qu Chun Yu , Zhao Jun You
Published: May 2013

In order to against the uncertain disturbance of AC linear servo system, an H mixed sensitivity control method based on adaptive fuzzy control was putted forward in the paper. The controller is comprised of an adaptive fuzzy controller and a H robust controller, the adaptive fuzzy controller is used to approximate this ideal control law, H robust controller is designed for attenuating the approximation errors and the influence of the external disturbance. The experimental results show that this control strategy not only has a strong robustness to uncertainties of the linear system, but also has a good tracking performance, furthermore the control greatly improves the robust tracking precision of the direct drive linear servo system.
Fuzzy Predictive Control for a Tubular Heat Exchanger System
Authors: Ji Qiao Ling , He Cong , Qi Wei Min , Zhu Jian Kang
Published: May 2013

The paper deals with the problem of controlling the outlet temperature of a tubular heat exchanger system by means of flow pressure. The usual industrial system behavior must precisely be modeled and appropriate control action needs to be obtained based on novel techniques. A new multiple models control strategy using the well-known linear generalized predictive control (LGPC) scheme has been proposed in this paper. Then the best model of the system is accurately identified by an intelligent decision mechanism (IDM) which is organized based on both new recursive weight generator and fuzzy adaptive Kalman filter approaches. Simulations are all done and the results are also compared with those obtained using a nonlinear GPC (NLGPC) approach that is realized based on the Wiener model of the system. The results can verify the validity of the proposed control scheme.
Dynamics of ADAMS Simulation for Continuous Zoom Infrared Lens and Analysis
Authors: Yang Liang , Zhang Yu , Li Mao Zhong , You Xian Heng
Published: May 2013

This paper describes the basic structure of the continuously variable focus lens form. The movement in the form of the lens is simulated analysis through ADAMS software. Trajectory accurately restore the zoom group and compensation group. With the theoretical design of comparative analysis and validation process the lens structure design movement, save the latethe experiments verify the cost of the great significance of the production process.
Size Effect on Natural Frequency of Cantilever Micro-Beams Based on a Modified Couple Stress Theory
Authors: Kong Sheng Li
Published: May 2013

The natural frequency of cantilever micro-beams is solved analytically on the basis of modified couple stress theory. The governing equations are obtained by a combination of the basic equations of modified couple stress theory and Hamiltons principle. The size effect on natural frequencies of the cantilever micro-beams is analyzed. It is found that the natural frequencies of the cantilever micro-beams predicted by the newly model are size-dependent. The difference between the natural frequencies predicted by the newly established model and classical beam model is assessed.
Image Processing System Architecture Design Based on UML
Authors: Liu Hong Cheng , Tong Peng
Published: May 2013

This paper put emphasis on discuss some peculiarity of UML apply method of object-oriented design on B/S software system. And then based on the analysis of rational unified process, modeled B/S mode image processing software system with visio 2003 modeling tools; with iterative and agglomerate modeling scheme of UML, the framework of image processing software system, which set up the base of this system, and a scheme of B/S system modeling is hold and arranged.
Iron Mine Exploitation Application of Man a Machine Positioning System of Underground Coal Mines Based on the ZigBee Technology in Loufan Ludi Mining Company
Authors: Zhang De , Yan Li Gang
Published: May 2013

Man and machine Positioning System of Underground Coal Mines in the Iron Mine Exploitation of Loufan Ludi Mining Limited Company is based on the ZigBee Wireless Communication Technology. It realizes the effective management of the precise positioning of Man-machine and the workers. This article describes the composition of the system, the performance and management of content and network formation. The application practice shows that the underground man-machine positioning system based on ZigBee technology has played an important role in the underground personnel information management and security hedge. Such system could better meet the needs of the mine safety management and there is great prospect of application of it.
P2P VoD Content Distribution Strategy Based on Gradient Model
Authors: Dai Xiu Yue , Wang Qun , Tang Yi Fang
Published: May 2013

The characteristics of P2P VoD (Video on Demand) system, such as low cost, great scalability and high quality of service, make it become the research hotspots and development trends of current network applications, while content distribution policy is one of its key technologies. To solve the problems of data scheduling strategy priority and node performance discrepancy in content distribution, the influences on scheduling policies of network performance information, the degree of content scarcity and playback emergency were studied. Based on the investigation, the gradient model based content distribution strategy is proposed. Distributed gradient model based strategy, sender startup strategy and receiver startup strategy were introduced to make each peer merely interact with parts of peers to reduce the collisions caused by the load balance. The experimental results show that gradient model based content distribution strategy improves the delivery speed and reduces the network load.
The Discussion on Mechanism and Research Framework of Green Information Technology and Information Systems Adoption
Authors: Zheng Da Qing
Published: May 2013

Over the last decade, an increasing number of firms are undertaking actions to reduce their environmental impact. As information technology and information systems have permeated most business activities, they offer an important opportunity to solve the environmental problems. Green information technology and information systems (ITIS) have become one of the latest considerations to reduce energy consuming of IT operation and business operation. This paper makes a definition of green IT and green IS based on the prior literature, and concludes the three aspects of green ITIS adoption motivations: regulations, competitiveness and ecological responsibility. Next, the paper explores the role of business strategy in the process of green ITIS application, which can be classified into proactive strategy and reactive strategy. Finally, the paper proposes a green ITIS adoption model including the factors of business strategy, and three aspects of green ITIS motivations under the instruction of technology-organization-environment (TOE) framework.
Datamining Tool: Multiple Regression and Logistic Regression in a Web Platform of a Datawarehouse
Authors: Faye Fatou , Sene Mbaye
Published: May 2013

This article summarizes the works about the design of a datamining tool based on statistical methods (Multiple Regression and Logistic Regression). Dataminig [1] is a science which uses mathematical and statistical methods to highlight the links hidden between two or several different variables. This science helps the leaders in their forecasts and in their decision-making. Among the numerous statistical methods used by datamining, only the multiple regression and the logistic regression are objects of a complete study in this work. Indeed, the Multiple Regression is the first mathematical method used in the implementation. It allows to clarify the variation of a variable with regard to the other variables apparently independent. However, the multiple regression gives answers in terms of numerical values such as 0 or 1. The logistic regression allows to clarify the variation of a binary variable (0 or 1), Exist or not according to the other variables. So, the logistic regression is an extension of the multiple regression. After the study of these methods, an implementation on a web platform (approachable application via a web browser) is proposed. Indeed, this IT application is intended to process millions of data for a company and to make simulations).
Comparison of Two Six-Bar Mechanisms Based on Simulation for Optimization
Authors: Lv Kun , Yuan Yang , Huang Wei , Guo Dong
Published: May 2013

To make a six-bar mechanism of shaper to be more reasonable, at first, the geometrical models of a couple of mechanisms were created by the ADAMS and the kinematical analysis on the models was carried out. The simulation results reveal the regulation that the displacement, velocity and acceleration of plough head of shaper vary with time. Through comparing the movement charts, we can not only gain the performance parameters of the mechanisms, but also evaluate more comprehensively the performance of a shaper. Then through parameterized modeling, how the length change of each rod of the mechanism to affect its performance was analyzed. Taking the minimization of mechanism maximum pressure angle and acceleration as the objective function, the optimal design of mechanism was implemented. This method to use ADAMS to conduct simulation and optimization greatly improves research efficiency and shortens product development cycle.
The Application of Quantum-Behaved Particle Swarm Algorithm in Intelligent Test Paper Generation
Authors: Li Xin Ran
Published: May 2013

Aiming at solving the low efficiency and low quality of the existing test paper generation algorithm, this paper proposes an improved particle swarm algorithm, a new algorithm for intelligent test paper generation. Firstly, the paper conducts mathematically modeling based on item response theory. Secondly, in the new algorithm, the inertia weight is expressed as functions of particle evolution velocity and particle aggregation by defining particle evolution velocity and particle aggregation so that the inertia weight has adaptability. At the same time, slowly varying function is introduced to the traditional location updating formula so that the local optimal solution can be effectively overcome. Finally, simulation results show that compared with the quantum-behaved particle swarm algorithm, the proposed algorithm has better performance in success rate and composing efficiency.
Two New Electronic Cash Schemes Based on Elliptic Curve
Authors: Zhang Mei Na , Fu Chun Bao , Fu Wei
Published: May 2013

Two secure, high-efficient and feasible e-cash schemes are proposed in this thesis based on elliptic curve by using blind signature system, the schemes are completed by three protocols, namely, withdrawal protocol, payment protocol and deposit protocol. The two schemes make advantage of blind parameter, namely, after cash is received by Bank, cash is also hardly connected with the signature at some times. They are simple and easily realized. The elliptic curve cryptographic algorithm is adopted in the scheme, the length of the private key is short, and its efficiency and strength is significantly higher than e-cash scheme based on RSA signature proposed by D.Chaum. There is no effective solution to the elliptic curve discrete logarithm problem (ECDLP), therefore, the schemes are safe.
Dynamical Analysis of Automobile Based on Principle of Optimal-Power Shift
Authors: Li Jian Wei
Published: May 2013

The mathematical model of automobile driving was established, the calculation method of standing start acceleration time based on principle of optimal power continuous shift was introduced. The simulation analysis, calculation and verification were conducted by MATLAB. It lays the theoretical foundation for the analysis and calculation of dynamic performance by computer.
Virtual Function Block Mechanism in the Cloud Manufacturing Environment
Authors: Wang Xi Vincent , Xu Xun W
Published: May 2013

CManufacturing is a new manufacturing model that has evolved from Service-Oriented Architecture, networked manufacturing and CComputing. It provides intelligent, interoperable and distributed manufacturing model for the industry. This paper introduces a resource integration mechanism in the Cloud Manufacturing environment. Function Block technology is discussed from the Cloud Manufacturing perspective in detail. Next, a novel integration mechanism is proposed, namely the Virtual Function Block. Based on physical Function Blocks and software agents, Virtual Function Blocks are able to manipulate and integrate manufacturing resources via event states and data flows. During implementation, Creo Parametric was integrated as a Cloud Service with the help of VFBs to evaluate the mechanism.
Research on Intrusion Detection Technique of Mobile Ad Hoc Network Security
Authors: Sun Hua Feng
Published: May 2013

By analyzing the characteristics of the existing intrusion detection techniques and limitations of network anomaly detection method is proposed. According to TCP/IP protocol packet structure characteristics, the behavior of a new notation, the definition of data packets through the network characteristics of the user's behavior to make up for past acts of intrusion detection system that is incomplete and non-real-time inadequate.
Seamless Integration Being Set up by Using Web Services
Authors: Ye Pin Ju , Hu Yuan Wang , Zhu Li Hua
Published: May 2013

Through researching the current application development system,We can discover many commercial programs are faced with a problem, namely the interoperatability with other programs. Maybe each enterprise’s system is developed with diffrerent language platform,but all application programs need to be integrated and change data.To combine each other’s heterogeneous platform which is independent, we must build a seamlessly integrated mechism between these heterogeneous platforms. This paper focuses on the related technology of seamless integration being set up by using Web Services. Through using two widely applied technology--HTTP and XML,we realize seamless integration between heterogeneous platforms.
An Improved EEG Feature Extraction Method Based on Quantum Particle Swarm Optimizer Algorithm
Authors: Huang Lu , Yu Hong , Li Ran , Li Xiang Jun , Gu Jun
Published: May 2013

Feature extraction is a very important step in P300based brain-computer interface(BCI). Aiming at the large amount ofelectroencephalogram(EEG) data used in BCI, a method which combined quantum particleswarm optimizer(QPSO) algorithm with independent component analysis(ICA) technique was putforward for P300 extraction.It initialized several particles in the feasible domain of de-mixing matrixw, making them parallel search, andfinally reached the global convergence by the information communication betweenthe current particle and the global optimum particle. The method also optimizedthe search strategy using quantum computing to impelICA iterationto converge faster. It was test on real EEG datasetand a simple linear classifier was employed.The recognition accuracy arrivedat 94.5% with 15 times averaged. The results showed thatthe proposed method could extract P300 rapidly and efficiently.It provided a better way to research and develop BCI systemfurther.
High Speed Federated Filter Design and Implementation
Authors: Zhang K.B , Gao J.M , Jiang P.L
Published: May 2013

The theory of federal filter based on the Kalman filter is investigated in the design process, as well as the federal filter information distribution. Considering the advantage of parallel computing structure, the FPGA chip is selected and used to realize the IP core encapsulation and design of Federated Filter. The filtering speed is greatly improved to meet federal filter integrated navigation system. A group simulation experiments are conducted. The results shown that the filtering accuracy and filtering time of federal filter are both improved using the proposed method.
Improved Algorithm for Joint DOD and DOA Estimation in Bistatic MIMO Radar Based on Fourth Order Cumulants
Authors: Xu Ding Jie , Li Mo Xuan , Wang Xian Peng
Published: May 2013

An improved algorithm for joint direction of departure (DOD) and direction of arrival (DOA) estimation in bistatic MIMO radar based on fourth order cumulants is presented. Firstly, the data of receiver is reset and divided to acquire the rotational invariance property of transmitter and receiver, respectively. The fourth order cumulants matrixes in twain are constructed which are based on the basic definition of the cumulant. Then we use the propagator method (PM), which only requires linear operation but does not involve any eigendecomposition of the cumulant matrix, to estimate the DODs and DOAs, respectively. Finally, the maximum likelihood method is used to solve the pairing problem. The proposed method is effective in prohibiting the Gaussian colored noise and improves the performance of the angle estimation slightly. It does not need two-dimensional spectrum peak searching and eigenvalue decomposition on the cumulant matrix, thus the computation complexity is reduced. At the same time, it has no exceptive claim on the number of receive arrays or receive arrays. Simulation results verify the effectiveness and feasibility of the proposed method.
A Research about Call Simulation Based on SIP VOIP Terminal
Authors: Huang Feng , Wang Gai Yun
Published: May 2013

The significance of this thesis is that the function of call simulation is designed to satisfy the operator’s needs. Operators can diagnose whether the telephony applications proceed normally by manipulating the VOIP(Vocie Over IP) telephony terminals on ITMS(Integrated Terminal Management System) platform remotely, by which way, it can help operators to save large manual and material resources. And this thesis focuses on how to realize the function of call simulation on VOIP phone terminals. It firstly studies the related modules in the process of call simulation and the procedures of each modules cooperated, from a macro point of view. And then it focuses on elaborating the scheme of designing call simulation, including the design of simulation applications for call and called sides and design of simulation signal process in the situation of normal calling. In the testing step, it turns on to validate and realize the goal of manipulating and diagnosing the telephony applications by packeting the communication’s terminal , analyzing signaling streams, etc,.
The Application of CAN Bus Microcontroller MC9S08DZ60 in Automotive Electronic Control Unit
Authors: Wang Yi , He Li Ren
Published: May 2013

Take the microcontroller MC9S08DZ60 which integrated CAN controller for example, the design of automotive electronic control unit was introduced, meanwhile shown the hardware structure and software design processes. This circuit has characteristics of simple hardware, low cost, high reliability, real-time. It has provided a scientific basis for the development of the CAN communication electronic control unit based on MC9S08DZ60 microprocessor.
The Embedded System Research for Multi-Definition Terminology
Authors: Zhang Yan Ping , Liu Li Min
Published: May 2013

Embedded system is an important and popular application system for information technology. The applications of embedded system are depended on embedded hardware and software. In fact, applications of embedded systems have changed life of people in the world. They can be found anywhere, and almost can be used in every field. Since there are multiple definitions for the terminology, few people exactly know the concept of an embedded system. In this paper, some important concepts and definitions of embedded system are discussed and analyzed. The research is helpful to understand the embedded systems and apply them better.
Influence of the Fins on the Static Stability of Autonomous Underwater Vehicle
Authors: Huang Ming Long , Liu Yu Hong , Zhang Hong Wei , Duan Bao Sheng
Published: May 2013

Fins, which are mounted at the rear of the underwater vehicles, have the action of stabilizing. X-fin and Cross-fin are two basic types of fins used in modern underwater vehicle. In the present paper, focused on the deep-sea autonomous underwater vehicle (AUV) developed by Tianjin University, influence of types and mounting positions of fins on the static stability (STS) of the AUV is investigated. Results show that AUV with Cross-fin has better STS and the mounting position of fins is the key influence on STS of AUV.
Bubble Image Processing Based on ARM in Gas-Liquid Two-Phase Flow
Authors: Xue Ting , Wang Qing Fang , Liu Xiao Wen
Published: May 2013

Morphology and characteristics of bubbles have an important effect on engineering applications of gas-liquid two-phase flow. To accurately describe the bubble characteristics, the bubble image processing system based on ARM9 is designed. System hardware is constructed with S3C2440 as the core. QT/Embedded and Qtopia are transplanted to the embedded platform, and the image processing application is developed using QT/Embedded, realizing a good human-computer interaction. According to the characteristics of bubble image, image processing algorithms are presented. The System has low power consumption, small size, and a good real-time performance and scalability.
Design of Mobile Video Acquisition and Communication System Based on Embedded Technology
Authors: Liu Feng , Zhang Xin Kun , Yu Can , Gao Jun Xiang
Published: May 2013

In recent years, video data acquisition and wireless communication are increasingly applied in the field of intelligent transportation and environmental monitoring due to its promising capability. A design of data acquisition and communication system based on embedded technology is proposed in this paper. The architecture is discussed, and the detailed design of the system is given including hardware and software solution. Chip S3C6410 and DM642 were considered as the core of information acquisition and processing. Acquired data was sent to database server on control center with integrating wireless mobile network (CDMA). Through the main page of the website based on LAMP technology, it can realize the remote access of sensor monitoring data and control the devices on the vehicle. It also supports the query of the historical records and download of the acquisition data to the client according to requests. Experiment results show that the working performance of the system is quite stable and can reach the design requirements in real-time data acquisition and remote control. Furthermore, the system has the characteristics of good expansibility, networking flexibility and low cost. The design gives a new way to collect the video data of environment instead of the traditional way using wires or manually.
The Development of Soft PLC Running and Simulation System Based on RTX
Authors: Liang Quan , Su Dong Hai , Wang Jie , Wang Ye Mu
Published: May 2013

For the traditional PLC compatibility and poor scalability problems, this article developed a soft PLC running and simulation system. The system compatible with Mitsubishi FX2N series PLC instruction set. RTX was used to serve as the real-time kernel, ensured the real-time performance of the control, introduced the using method of RTX timer, multithreading and shared memory, emphasized the decoding function realization, also developed a soft PLC simulation system. Finally, through an example program verify the correctness of the running and simulation system.
Vehicle Control Unit Integrated with GPRS/GPS Development for Electric Vehicle
Authors: Liu Yang , Cheng Yong
Published: May 2013

A vehicle control unit (VCU) of electric car integrated with GPRS/GPS and CAN bus was proposed for vehicle driving status monitoring and performance evaluation. The vehicle powertrain information, including parameters of electric motor and battery package as well as their fault messages, and driver operations were collected by VCU and sent to the monitoring center by GPRS. To ensure the wireless transmission reliable and flexible, VCU hardware was designed using MC9S12XET256 and GPRS/GPS module, and the wireless transmission protocol was developed with data message. Laboratory experiment and road test results verified that the GPRS transfer accuracy could reach close to 100% at 5 kb/s. The driving performance of testing vehicle was analyzed, which showed that VCU could follow the drivers operation and the driving range exceeded 120km and energy consumption reduced by 12.7% owing to regenerative braking.
Multi-Objective Optimization Study of Energy Management Strategy for Extended-Range Electric Vehicle
Authors: Niu Ji Gao , Pei Feng Lai , Zhou Su , Zhang Tong
Published: May 2013

A new method based on genetic-particle swarm hybrid algorithm was presented for parameter optimization of energy management strategy for extended-range electric vehicle (E-REV). Taking a logic threshold control strategy of an E-REV as example, for the aims of minimizing fuel consumption and emissions, a constrained nonlinear programming parameter optimization model was established. Based on this model, genetic algorithm (GA) and particle swarm optimization (PSO) were improved respectively. Further, a genetic-particle swarm hybrid algorithm was put forward and applied to the multi-objective optimization of E-REV energy management strategy. Optimization results show that the hybrid optimization algorithm can avoid falling into local optimum and its search ability is much better than improved adaptive genetic algorithm (IAGA). This hybrid algorithm is also suitable for the control parameters optimization issues of other types of hybrid electric vehicles.
The Topological Optimization Design of Cross Beams Structure of Shaped Stone Turning-Milling CNC (HTM50200)
Authors: Mu Xuan , Zhang Ke , Zhao De Hong , Wu Yu Hou
Published: May 2013

To reduce the overall mass of the machine tools, this paper made the structural lightweight design to crossbeams of the HTM series gantry machine by topology optimization. The topology optimization mathematical model was built by taking the quality as the constraint, overall stiffness to the maximum (complicance to the minimum) as the design goals. It also took HTM50200 Turning Milling Center as an example, put forward an asymmetric layout structure of auxiliary hole according to the optimization results by numerical simulation and calculation of ANSYS. By verified, the mass of the structure was 2.76% lower than traditional structure, and the maximum deformation decreased by 16.07%. By applying the topology optimization method to the design process of the HTM series machining center, the utilization of materials will be improved and the production costs will be reduced.
Design Optimization for Fir-Tree Root of Turbine Blade Considering Manufacturing Variations
Authors: Zhou Qin , Zhang Ming Hui , Chen Hui Yong , Xie Yong Hui
Published: May 2013

An optimization design system for fir-tree root of turbine blade has been developed in this paper. In the system, a parametric model of the blade and rim was established based on the parametric design language APDL, and nonlinear contact method was used for analysis by ANSYS, meanwhile some optimization algorithms, such as Pattern Search Algorithm, Genetic Algorithm, Simulated Annealing Algorithm and Particle Swarm Optimization, were adopted to control the optimizing process. Five cases of manufacturing variation in contact surfaces between root and rim were taken into account, and the design objective was to minimize the maximum equivalent stress of root-rim by optimizing eight critical geometrical dimensions of the root and rim. As a result, the maximum equivalent stress of root-rim decreases markedly after the optimization in all cases. In consideration of both precision and computing time, particle swarm optimization is assessed as the best algorithm to solve structure optimization problem in this work. Corresponding to five different cases of manufacturing variation, the maximum equivalent stress of root and rim reduces by 7%, 8%; 27%, 24%; 27%, 22%; 25%, 19%; 10%, 14% using the Particle Swarm Optimization.