bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Analysis of Bearing Capacity to Q690 Tubular Joints Enhanced by Inner Annular Plate
Authors: Yang Jun Fen , Zhang Tao , Peng Yi Liang , Li Hong Bo
Published: March 2013

Simple joint is a common connection type in tubular structures. In this joint, one or more tubes are welded directly on the surface of another tube. Local buckling occurs in panel zone when the joint load is heavy, and such local buckling will reduce the bearing capacity and stiffness of the joint. In order to improve bearing capacity of tubular joints, the joint needs to be strengthened. In this paper, the bending performance of the joint will be enhanced by welding two annular plates inside the surface of panel zone of chord member. By ANSYS finite element program, the bearing capacity of the joint with different inner annular plate was analyzed, including design bearing capacity and ultimate bearing capacity. The results showed that comparing to annular plate thickness variation, the width variation and interval variation have much more influence on the bearing capacity of the joint.
Study of Shear Deformation's Influence on Deflection of Continuous Composite Box-Girder Bridge with Corrugated Steel Webs
Authors: Tang Ming Min , Su Li Chao , Wan Shui
Published: March 2013

Taking South-to-North Water Diversion Bridge, a continuous composite box-girder bridge with corrugated steel webs, as the engineering background, the cantilever beam end’s deflection calculation formulae considering shear deformation were deduced by using energy method. Comparing with finite-element analysis (FEA) values and measured values, the formulae which considered both concentrated force and uniform load have enough accuracy. Results show that, shear deformation’s proportion is more obvious in overall deflection of such box-girders which have smaller span ratio, and it’s more than 30%. For continuous composite box-girder bridge with corrugated steel webs, contribution of shear deformation to overall deflection should not be ignored.
Research on Large-Scale Structure Analysis Considering Time Effect and Route Effect (I): Theory
Authors: Gu Wei , Xiong Xue Yu
Published: March 2013

The mechanical behavior of prestressing, temperature ,creep & shrinkage in construction procedure are studied, then construction analysis are integrated into structural nonlinear analysis by defining construction procedure as state nonlinear. The “time effect” and “route effect” are defined in large-scale structure, and their essences are studied with a general format of displacement method.
Electric Field of the Tip-Plane Electrode Configuration in Electrohydrodynamic Printing
Authors: Xu Lei , Wang Chao
Published: March 2013

Electrohydrodynamic printing draws much attention as it is a promising micro/nano patterning method and can ejects high-viscosity solution. The solution is pulled out of a nozzle under a high voltage. A used tip-plane electrode configuration is composed of a conducting plane collector and a hyperbola-shaped solution pendant adhered to a steel nozzle in electrohydrodynamic printing. The electric field between electrodes is extremely non-uniform owing to structural complexity of electrode configuration. We disintegrate the overall electric field into three components: a charge-free space field, a charged droplet field and an ion field. Proper models for those fields are set up and analyzed. The result shows that the elliptic-cylinder model, a dominant component for the jetting, is available for the field. The charged droplet field hardly deforms the space field in low-frequency pulsation mode, but influences the jetting in high-frequency pulsation mode. The ion field caused by space ions is little and negligible.
Contactless Power Supply System Design Based on DSP
Authors: Hu Qing , Huang Jie , Qui Yu Ping
Published: March 2013

Research on contactless power supply technique based on detachable transformer was developed, realized contactless power delivery to apparatus with no electrical connection or physical contact by the perfect combination of inductive coupling technique and power electronics,which eliminated the risk of electric shock, short circuit,or sparking. Used DSP chip and power technology had designed contactless power supply system. Experiments had showed that the system circuit could achieve contactless power transmission system control requirements. The method in solving the contactless power transmission issues has good practical value and application prospect.
Design and Implementation of Trigger-Based-on Document Data Acquisition Method
Authors: Cui Pei Zhi , Sun Yan , Wang Guang Wei , Sun Ling Yun
Published: March 2013

Data acquisition for simulation training system can provide reliable operation data sources for system displaying, monitoring, controlling and evaluation. It takes an important role in simulation training system. This paper studies and designs one kind based on database trigger mechanism document data acquisition method. This method can guarantee real-time information collection and write data to the remote target database table in real time. It’s suitable for the data processing system of information acquisition application.
Rail Track Surface Image Acquisition and Positioning
Authors: Sun Liang , Zhang Jun , Chen Zhe , Guo Long , Ge Jia , Lü Kun Lin , Dai Guang Yu
Published: March 2013

Rail track surface detection system was constructed to detect the rail track surface. The mismatch between the train speed, rail track location and camera trigger speed was solved during the real-time acquisition process about the rail track using optical encoder and GPS module. In our system, optical encoder was used to reflect the train speed and output pulse to externally trigger the line scan high-speed camera exposure. At the same time, another pulse of optical encoder was transmitted to the computer to save the GPS location information. So the rail track images are saved with the track location information.
Research on Ship CAE Model Data Conversion
Authors: Liu Pei Lin
Published: March 2013

A set of self-defined model data structure using discrete boundary representation is designed in this paper, based which the modeling data is transformed from CAD to CAE pre-process. And so the geometric modeling function is realized. By the unified data interface, model data is read and transformed from a variety of mainstream and standard CAD model file such as IGES, STEP and so on. By studying and parsing the STL file and Tribon XML format file, the STL model file and ship CAD model data conversion is realized.
Color Image Super-Resolution Reconstruction Based on Sparse Representation
Authors: Shen Min Fen , Zhang Long Shan , Fu Huai Zheng
Published: March 2013

This paper proposes a YUV color image super-resolution reconstruction algorithm based on sparse representation. The R, G, B components of color image are highly correlated, three-channel super-resolution independent reconstruction will lead to color distortion, so in this paper the color image is firstly converted to the Y, U, V three channels, and then super-resolution reconstruction. For choosing the regularization parameter, this paper proposes an adaptive regularization parameter method; it has a good inhibitory effect on image noise and adaptive super-resolution reconstruction of color images. The results of experiment show that the proposed algorithm has a better PSNR, compared with bicubic interpolation method and sparse representation. The adaptive super-resolution reconstruction can further improve the quality of the reconstructed image and the method is robust to image noise.
Disturbance Attenuating Control for Cellular Neural Networks with Time-Varying Delays
Authors: Xiong Ping , He Han Lin , Tu Jian Jun
Published: March 2013

The problem of disturbance attenuating controller design for delayed cellular neural networks (DCNNs) is considered. Via combining four different states cases in DCNNs and applying Razumikhin function analysis, a feedback control law in the form of linear matrix inequality (LMI) is derived for guaranteeing disturbance attenuation of the closed systems. Finally, a numerical example of DCNNs is given to indicate the effectiveness of the proposed disturbance attenuating control.
3D Face Recognition in the Conception of Sparse Representation
Authors: Sheng Dao Qing , Cheng Hua
Published: March 2013

In this paper, a novel 3D face recognition method is proposed from the sparse representation point of view. Under the framework of sparse representation, the recognition problem is transformed to solve the problem of minimization L0-norm. Three types of facial geometrical features are extracted to describe 3D faces. According to the extracted features, 3D face recognition is conducted by applying to the ranking strategy of Fisher linear discriminant analysis. The experiments employed BJUT-3D datasets demonstrate the effectiveness of the proposed method.
Experimental Analysis on Characteristics of a Water-Cooled Non-Thermal Plasma Reactor
Authors: Li Kang Hua , Cai Yi Xi , Li Xiao Hua , Han Wen He , Shi Yun Xi , Wei Xing
Published: March 2013

Characteristics of a water-cooled non-thermal plasma (NTP) reactor used to reduce diesel emissions were experimentally studied. The effects of working voltage, operating frequency and air flow rate on discharge power and concentrations of O3 and NO2 generated by NTP system were investigated at different surface temperatures of discharge zone. The experimental results show that, the discharge power of the reactor would increase with the increasing of working voltage, operating frequency and surface temperatures; air flow rate had little influence on discharge power; variation of O3 and NO2 concentration were different with the increasing of working voltage and operating frequency at different surface temperatures of discharge zone; when the surface temperature of discharge zone was constant, concentrations of O3 and NO2 increased firstly and then declined with the increasing of air flow rate; and concentrations of O3 and NO2 were higher at lower temperature.
A Fuzzy Algorithm of Customers Evaluation Based on Attributes Reduction
Authors: Wan Hong Xin , Peng Yun
Published: March 2013

A fuzzy algorithm of customers evaluation based on attributes reduction is presented. The evaluation from the data objects based on key attributes can reduce the data size and algorithm complexity. After Clustering analysis of customers, then the evaluation analysis will process to the clustering data. There are a lot of uncertain data of customer cluster, so the traditional method of classification and evaluation to the incomplete data is very difficult. Superposition evaluation algorithm based on fuzzy set can improve the reliability and accuracy of e-commerce customer evaluation. Evaluation of the e-commerce customer also can improve efficiency, service quality and profitability of e-commerce businesses.
Fuzzy C-Regression Models
Authors: Yu Yan Hua , Song Li Xia , Zhang Kun Lun
Published: March 2013

Fuzzy linear regression has been extensively studied since its inception symbolized by the work of Tanaka et al. in 1982. As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extent, to the well known statistical regression analysis. In this article, a restricted least squares method is proposed to fit fuzzy linear models with crisp inputs and symmetric fuzzy output. The paper puts forward a kind of fuzzy linear regression model based on structured element, This model has precise input data and fuzzy output data, Gives the regression coefficient and the fuzzy degree function determination method by using the least square method, studies the imitation degree question between the observed value and the forecast value.
Implementation for Improved Algorithm of Circle Anti-Aliasing
Authors: Jing Liu
Published: March 2013

Anti-aliasing algorithm for circle was complex and the effect was not satisfactory. Based on midpoint generation algorithm for circle, an integral algorithm was present for circle anti-aliasing. The algorithm assigned the grayscale of each pixel according to the distance between a pixel's center and the circle, so a circle with various grayscales can be drawn. The algorithm abandoned the two-order epsilon and corrected the error by simple calculation. The algorithm was explained using 6 bits grayscale anti-aliasing as an example based on researching on the relation between precision and complication. The algorithm can forecast the grayscale change between neighboring pixels using integer without floating-point, so it is convenient to realize on hardware. The result shows that the anti-aliasing effect was improved.
The Research of the Genetic Algorithm Combined with Chromosome Fitness to Optimize the Flatness Error Evaluation
Authors: Guo Ying Di , Wu Wei Cong , Jiang Mi Jia , Li Bo Nan , Fang Bing Bing , Gao Xing
Published: March 2013

This paper suggests an improved genetic algorithm to seek the minimum range value in the ideal-plane flatness measurement. This algorithm increases measurement accuracy by using dynamic cross factor, mutation factor and a new concept called chromosome fitness. It was proved in simulation experiments that its accuracy is better than other flatness error evaluating algorithms like the minimal territory evaluating algorithm and the computational geometry algorithm etc. So it can be used for measuring industrial production components error and verifying assumed models in reverse engineering etc.
Multi-Objective Topology Optimization for Bevel Gear and Geometrical Reconstruction
Authors: Bian Xiang , Fang Zong De , Qin Kun , Lian Lifei , Zhang Bao Yu
Published: March 2013

Usually the gear modification is a main measure to reduce the vibration and noise of the gears, but in view of the complexity of the gear modification, topology optimization method was used to optimize the structure of the gear. The minimum volume was set as the direct optimization goal. To achieve the target of reducing contact stress, tooth root bending stress and improving flexibility, the upper bound of the stress and lower bound of the flexibility were set appropriately, thus realizing multi-objective optimization indirectly. A method for converting topology result into parametric CAD model which can be modified was presented, by fitting the topology result with simple straight lines and arcs, the model can be smoothed automatically, after further regulating, the geometry reconstruction was finished. After topology optimization, the resulting structure and properties of the gear are consistent with cavity gear. While reducing the weight of the gear, the noise can be reduced and its life would be extended through increasing flexibility and reducing tooth root stress.
Automatic Control System of Stone Sawing Machine Based on PLC and Human-Computer Interface
Authors: Zhang Jin Lan , Lv Qian
Published: March 2013

This paper designs a PLC automatic control system in stone cutting. The author elaborated the stone cutting process, the system hardware/software design and the human-machine interface design process. This system is the collection of PLC, sensing detection, frequency converter, configuration control technology and advanced stone cutting process in an organic whole. The author designed optional automatic/manual function and parameters setting screen. The author added limit current protection and position protection, and designed function of automatic detecting cooling water shortage to protect the saw blade from damage. Also the designed equipment can automatic light and bell for alarm. Operation results show that, this system can meet the designed requirement, and can remarkably improve the quality of stone processing. This designed control system has high machining accuracy, high intelligence, full automation, perfect protection, friendly man-machine interface and simple operation.
Reduction of Cogging Torque in Permanent Magnet Synchronous Motor Using the Taguchi Method
Authors: Fan Jian Jian , Wu Jian Hua
Published: March 2013

This paper presents the use of Taguchi methods in optimizing a PMSM for reducing peak value of cogging torque. The analytical model of cogging torque is derived by the energe method. The Taguchi optimization method was used to generate the experiment samples, which were calculated in 2-D and 3-D FEA. Three different parameters of PMSM, such as skew ratio, pole embrace and stator slot width were optimized. ANOVA was used to analysis the effect of different factors in Taguchi method.
Gear-Shift Control Strategy for a 6 Speed Wet-Type DCT
Authors: Teng Yan Qiong , Yin Xiao Feng , Zhang De Wang
Published: March 2013

It is crucial to control the engagement of the in-coming clutch and the disengagement of the off-going clutch for the gear-shift process in order to improve the shift quality of dual clutch transmission (DCT). Aiming at the development of a 6 speed wet-type DCT, three evaluation indices of shift quality including shift time, shift jerk and friction work per unit area, were analyzed in detail. And the torque and the engine speed control strategies for the upshift and the downshift processes were discussed respectively through dividing the gear-shift process into 5 stages. The proposed strategies have been evaluated via simulation experiments of the upshift from gear position 1 to gear position 2 and downshift from gear position 2 to gear position 1, under wide-open throttle respectively. The results show that the proposed strategies can get short shift time and acceptable ride comfort, meanwhile prolong the service life of the friction elements of dual clutches.
Heading Control of a RC Helicopter by Fuzzy Logic
Authors: Suebsomran Anan
Published: March 2013

This research aims to control the heading of a small RC helicopter based on fuzzy logic control approach. Control of such a vehicle is normally nonlinear system. To be linear system, the mathematical model of this system would be archived and its parameters. From such difficulty of obtaining mathematical model and parameters, thus in this propose we develop the heading control of a small RC helicopter by using fuzzy logic control, which is overcome the unmodeling of such vehicle, for objective of developed control system. The performance of system is specified to control in time domain design specification. The rule based construction for designing the fuzzy system is related to input and output membership function for inference fuzzy system. Second order response time is specified, and error e and delta error (e) are conditionally assigned for constructing the rule of fuzzy inference system using Mamdani reasoning scheme. Defuzzification method applies the center of gravity (COG) method to computation the output to compensate the error and delta error signal. Finally the result of experiment reveals that the tracking of control of desire heading command and feedback signal is archived via the desired control performance in heading control of a small RC helicopter system.
Precision Trajectory Tracking Control of a Pneumatic Cylinder and Output Stiffness Regulation
Authors: Ban Wei , Tao Guo Liang , Meng De Yuan , Yuan Yue Feng
Published: March 2013

Precision motion trajectory tracking control of a single rod pneumatic cylinder driven by two proportional pressure valves is considered. Rather severe nonlinearities and uncertainties exist in the dynamic modeling of the system. In order to guarantee both the transient performance and final accuracy, a nonlinear adaptive robust controller is developed. The proposed controller comprises a sliding mode controller (SMC) and an on-line recursive least squares estimator (RLSE). The RLSE is utilized to reduce the extent of parametric uncertainties, and the SMC is adopted to attenuate the effects of parameter estimation errors, unmodelled dynamics and disturbance. Since pressure in each cylinder chamber is controlled independently, output stiffness regulation can be achieved by changing the nominal control voltage. Several experiments are conducted to test the proposed control strategy, and the results well fulfill the design requirements.
Real-Time Online Control of Electric Furnace Temperature Based on BP Neural Network PID
Authors: Ding Liang , Zhang Shou Ming , Xiao Lin , Jiang Hao
Published: March 2013

This paper introduces the actual method for adjusting the real-time PID parameters in PLC through the BP neural network PID algorithm in Matlab. Basing on OPC communication mode, the zinc refining electric furnace temperature BP neural network PID on-line control system is designed by combining Matlab algorithm process and industrial control process. In this way, the precision and real-time control of the electric furnace temperature will be improved, and production consumption and cost can be reduced effectively.
The Frequency Research of Fractional Order PIλDμ Controller
Authors: Wang Hai Qun , Meng Ling
Published: March 2013

Since most of the control systems in real industrial production are fractional，there is necessery to propose fractional order PIλDμ controller, which extend the traditional integer-order PID controller to fractional order, it has increased two free degree: Integral-order λ and differential-order μ, to more accurately control those complex systems. At the same time analysis the performance of fractional order PIλDμ controller in frequency domain. Especially,the two degrees’ effect to controller.
The Study of PLC Control System for Coal Quantitative Packaging
Authors: Sun Xiao , Zhou Hao , Lu Xiang Jiang , Yang Yong
Published: March 2013

An automatic control system of sampling package for sample coal is designed according to the realities of sample coal powdery materials which are based on controller (PLC). The system can realize the functions of random sampling, auto-weighting, auto-packaging, and auto-sealing off. It also can adjust waste less, control convenient, zero point self-tuning and dynamics weighing measurement. It can be used in sampling weighing package of sample coal. Various performance indicators can be stably and reliably used in field.
30kW IPMSM Phase Current Sliding Mode Observer Control
Authors: Zhang Bin , Yu Teng Wei , Li Yao
Published: March 2013

A 30kW interpolation permanent magnet synchronous motor(IPMSM) for electric vehicles is discussed in this paper, the phase current sliding mode observer control strategy is proposed, by means of adjusting the current error between the target and practical phase current of the motor, and according which the designed current sliding mode observer output voltage. An improved index reaching law control method is shown, the switching gain can always maintain smaller and converges to zero when imported time-varying factors to it. The inherent shortcomings of the index reaching law can be overcome by using integral sliding surface with integral separation and importing the boundary layer method, effectively weakening the system buffeting.
Auto Disturbance Rejection Control for Nonlinear Time-Delay Systems
Authors: Gong Quan Cheng , Wu Ya Feng
Published: March 2013

For some nonlinear complex control objects, conventional PID control is not able to obtain satisfactory control characteristics because of its inherent defaults. As a new controller based on PID control technology, auto disturbances rejection control(ADRC) breaks through the limitation of the former technology, at the same time maintains its advantages. In this paper, these two methods are used for nonlinear object −−two-step water tank respectively. Simulation and application results prove that ADRC controller works with better adaptability and robustness when controlling the nonlinear time-delay object, and is easier to achieve the control of no-overshoot and no-static-error.
Simulation Analysis of Feed System Control Characteristics in High-Speed Computer Numerical Control Lathe Based on MATLAB
Authors: Yang Ze Qing , Liu Li Bing , Wang Zuo Jie , Zhang Song
Published: March 2013

In order to determine the high-speed Computer Numerical Control (CNC) lathe linear servo system control parameters reasonably, the linear motor feed system control model was established based on analysis of high-speed linear feed system control principle, and the linear motor feed system transfer function was established, and servo dynamic stiffness factors were analyzed. The control parameters of the servo system and actuating mechanism parameters of feed system on the effect of the linear motor servo dynamic stiffness were analyzed using MATLAB software. The simulation results show that the position loop proportional gain, speed loop proportional gain and speed loop integral response time are the biggest Influence factors on servo dynamic stiffness. The displacement response is reduced under the cutting interference force step inputting, while the position loop proportional gain, speed loop proportional gain and speed loop integral response time are increased, and the servo dynamic stiffness is increased, the number of system oscillation is also reduced, and the system tends to be stable.
The Controllability of Switched Linear Fractional Control Systems
Authors: Bin Mao Jun , Liu Yi Liang
Published: March 2013

This paper is concerned with the controllability of switched linear fractional control systems, and the solutions of expression, necessary and sufficient conditions for the controllability of systems are given later.
The Simulation and Design on Control System of Magneto-Rheological Damper Seat
Authors: Qi Xiao Min , Xu De Zhang , Wang Jian Bin
Published: March 2013

In this paper, the magneto-rheological damper is installed in the seat, using semi-active control theory and methods, dynamics mathematical model of the magneto-rheological damper seat is established, the fuzzy semi-active controller based on the magneto-rheological is designed, and then the simulation analysis on the system is completed by the software of MATAB/Simulink. The results of simulation show that the semi-active seat based on the magneto-rheological can markledly suppress the vibration acceleration and improve the ride comfort of the seat.
Performance Test of Generator Terminal Supplement Damping Control Based on Real-Time Digital Simulation
Authors: Wu Tao , Cao Tian Zhi , Li Shan Ying
Published: March 2013

Generator terminal supplement damping control (GTSDC) is an effective method to damp the sub-synchronous resonance. In this paper, the real time closed loop testing technique of GTSDC is studied. The four kind of performance test is discussed. They are characteristic valuation of GTSDC, model contrast of GTSDC and real-time digital simulation (RTDS), GTSDC coordination with the excitation damping control, and robustness analysis of GTSDC. The testing results show that the real time closed loop testing technique of GTSDC is effective and reliable.
Maneuvering Target Tracking Algorithm Based on Improved "Self-Adaptive Turning Rate" Model
Authors: He Xiu Ling , Yang Jing Song
Published: March 2013

Multi-model (interactive multi-model )tracking is an effective method for maneuvering target tracking, and turning model is widely studied and applied in multi-model tracking modeling and model set establishment. A detailed study is carried out on the self-adaptive turning model modeling method for maneuvering target tracking. Also a summary is made about the method of establishing tracking model by calculating the turning rate. The shortcomings of literature [4、6]'s self-adaptive turning model in actual application is also pointed out, with two modeling methods adopting average turning rate presented accordingly. The simulation test proves the necessity of improvement and the validity of the new model.
Optimization Design of Wind/Photovoltaic Hybrid Power Systems Based on Genetic Algorithms
Authors: Li Lu , Tan Zhong Fu
Published: March 2013

Wind power and solar energy power are clean, abundant and renewable. Wind power and photovoltaic power are important alternative energy in the world, which will contribute to adjusting energy structures and protecting environments. The genetic algorithm has the characteristics of automatic optimization and approaches the simulate stuff illimitably. Also, there has no use for accurate model on questions, which is very suitable in the non-linear system. The wind/photovoltaic hybrid systems consist with wind power generation units, photovoltaic matrix, storage battery, diesel engine and data collection and control. This paper optimized the wind/photovoltaic hybrid system using genetic algorithm. The result showed the efficiency of this algorithm in the design of this kind of non-linear system. On the other hand, this hybrid system is strongly non-linear when is running. Finally, abundant operating expenses and maintains expenses will be saved by using genetic algorithm in its dynamic management according to the change of load, wind power and irradiation.
Group Tower Cranes Anti-Collision Algorithm
Authors: Chen Guang Zhong , Zhang Bing , Yang Yue
Published: March 2013

In order to solve tower cranes interference and collision problems in the construction site, the reason of group tower cranes collision in construction site is analyzed in detail and four types of typical tower cranes collision case are summed up. The different kinds of collisions among crane rope, cargo boom and balance arm are concluded and each of the collision is analyzed detailedly. At the same time, anti-collision methods are achieved in order to prevent the collision. The best anti-collision algorithm, confirmed well in practical construction site, is chosen for the different collision case
Design and Implementation of High Power DC Motor Control System
Authors: Zai Wen Jiao , Wang Hua Zhang
Published: March 2013

The paper designs a high power DC motor closed-loop control system, mainly including design of H bridge drive circuit, speed detection circuit and signal conditioning circuit. In order to improve the performance of motor running, one proposes a fuzzy adaptive PID control algorithm. Firstly, one determines the degree of membership of the input values to defined fuzzy sets, then constructs the fuzzy rule table according to experience and experiments, finally, makes defuzzification for every parameter of PID controller, that is, Kp, Ki, Kd. Experiments show that both hardware implementation and software control algorithms are reliable, the running performance of the system is robust before or after adding load.
Development of a Novel Torque Management Strategy for Parallel Hybrid Electric Vehicle
Authors: Gong Xian Wu , Gao Chuang , Wang Pei
Published: March 2013

In this paper, a torque management strategy for parallel hybrid electric vehicle(PHEV) is developed. The proposed strategy is responsible for vehicle's torque distribution during driving，between the Internal Combustion Engine(ICE) and the electric motor(EM) by Fuzzy Logic Control(FLC). This has been investigated through two main aspects. The first is the optimum torque split between the ICE and the EM. The second is sustaining the State of Charge(SOC) of the battery.These goals have been accomplished by developing two fuzzy logic(FL) controllers. The FL controllers are designed based on the state of charge of the battery, the ICE speed, the vehicle's requested torque and the ICE target torque. The strategy is validated by ADVISOR2002 simulation model based on the software Matlab/Simulink. The performance of the vehicle have been analyzed throughout a combined driving cycle that represents the normal and the worst operating conditions.Compared to the electric assistant control strategy(EACS), The simulation results show that the proposed torque management strategy is effective to control the engine's operating points within the highest efficiency as well as sustain the SOC of the battery. Thereby, improving the efficiency of the ICE and the EM, enhancing the battery’s life, reducing fuel consumption and decreasing emission.
A Study of Quasi-Homogeneous Lean Burn Gasoline Engine Performance Based on the Numerical Simulation
Authors: Zhang Wen , Li Zhi Jun , Liu Chun Qia , Li Ming , Chang Qing
Published: March 2013

A CA3GA2 lean combustion gasoline engine one dimensional model was built by AVL BOOST software. The relationship between air-to-fuel ratio (A/F) and emission characteristic and fuel economy was simulated. Simulation shows that: (1) CO emission decreases as the A/F ratio increases; (2) HC emission reaches its lowest point at A/F=16~18; (3) NOX emission reaches its highest point at A/F=16~18; (4) the engine lean combustion limit is A/F=22, the brake specific fuel consumption (BSFC) decreases as the A/F ratio increases within the lean combustion limit.
Modeling and Simulation of an Automotive Body Electronic Control System
Authors: Wu Xiu Ting , Yin Xiao Feng , Wu Xiao Hua , Yang Qi Chang
Published: March 2013

To simplify the wiring harness of automotive body control system, the functional requirements of automotive door locks, window lifters, rearview mirrors, trunk lock, and lights were analyzed, and an architecture of automotive body electronic control system was put forward based on CAN bus technology. The application layer protocol referring SAE J1939 protocol specification was defined. And the door lock system was modeled and simulated as an example by using CANoe. The simulation results show that the proposed architecture of automotive body electronic control system works well, and the reliability of automotive body control system can be improved and the automotive weight and cost can be reduced.
A Framework for Storage Security in Cloud Computing
Authors: Chen Guo You , Miao Jia Jia , Xie Feng , Mao Han Dong
Published: March 2013

Cloud computing has been a hot researching area of computer network technology, since it was proposed in 2007. Cloud computing also has been envisioned as the next-generation architecture of IT Enterprise [1]. Cloud computing infrastructures enable companies to cut costs by outsourcing computations on-demand. It moves the application software and database to the large data centers, where the management of the data and services may not be fully trustworthy [2]. This poses many new security challenges. In this paper, we just focus on data storage security in the cloud, which has been the most important aspect of quality of service. To ensure the confidentiality and integrity of user’s data in the cloud, and support of data dynamic operations, such as modification, insertion and deletion, we propose a framework for storage security, which includes cryptographic storage scheme and data structure. With our framework, the untrusted server cannot learn anything about the plaintext, and the dynamic operation can be finished in short time. The encryption algorithm and data storage structure is simple, and it’s easy to maintain. Hence, our framework is practical to use today.
A Approach of Credibility-Based Trust Management Service in Cloud Environments
Authors: Wang Su Zhen , Wei Liu , Du Zhi Juan
Published: March 2013

Trust management is one of the most challenging issues in the emerging cloud computing. A distributed way is adopted to manage and store trust feedbacks data. We propose a credibility-based trust management model that not only distinguishes between credible trust feedbacks, but also has the ability to detect the malicious trust feedbacks from attackers .On this basis, we also present a replication determination model that dynamically decides the optimal replica number of the trust management service so that the trust management service can be always maintained at a desired availability level. The research results have been validated by experimental results.
A New Model of Computer Go Based on Patterns
Authors: Wang Fang , Peng Ying
Published: March 2013

This paper proposed a new model of computer Go based on patterns and designed CGML （a new markup language based on XML）for computer Go, and applied the G/S cloud for computer Go for the first time. Connection relations (patterns) were used to construct basic model of Go. This new idea was an ideal and practical solution to the problem of computer Go.
A Tool for Modeling and Analysis of BTF Toolholder-Spindle System
Authors: Wang Jian Hua , Zhang Hang , Zhao Yong Sheng , Song Xiao Lei
Published: March 2013

This paper introduces the development of a tool for modeling and analysis of BTF toolholder-spindle system, based on ANSYS software. The tool is developed in parametric design method. Most parameters are defined automatically except a few parameters requiring users to input, which improves the modeling efficiency greatly. The interface joint of the BTF toolholder-spindle is established by adopting spring-damping model and defined by custom element unit Matrix27. The proposed model reflects the characters of the joint on the properties of BTF toolholder-spindle effectively. A case study is given to verify the efficiency and accuracy of the developed tool.
Analysis and Optimization of High-Speed Gasoline Engine Cam Profile
Authors: Li Yuan , Yang Jing , Li Ke
Published: March 2013

In this paper, to solve the problems of tappet damaged seriously and mechanisms abnormal sound that existed in a high-speed gasoline engine, the valve train simulation software AVL-TYCON was applied to perform both kinematic and dynamic analysis. The results show that the original speed and acceleration curves of intake valve train are not smooth enough and the contact stress is excessive high. The intake cam was then redesign to improve the overall performance of the engine, and results are verified through experiments
Improvement of Network Management System for Electrical Vehicle Communication Network
Authors: Li Yang , Li Yan Qiang , Qiao Xin , Hou Dong Dong , Liu Yuan Yang
Published: March 2013

With the rapid consumption of resources and heavy air pollution caused by traditional vehicles, Electrical Vehicles(EVs) have become more and more important than any other time. However, the network management of traditional vehicles can not meet the requirement of EVs. The paper proposes a network structure of EVs which can effectively and separately control the state of the network segment. The network comprise several segments which communicated with one another by at least one gateway. In this paper, 4 working modes of EVs are defined, the network manager(gateway) can switch its subscribers on or off the line depends on its working mode. The network management proposed by this paper has advantage of more effective controlling and reduce power consumption. To verify this method, the simulation is set up and the test result testifies the reliability and validity of the network management.
The Flourishing IoT in China Power Grid
Authors: Wang Chun Xin , Wu Wen Zhao , Wang Huan Juan , Liu Ya Kun
Published: March 2013

Internet of Things (IoT) is an important support for smart grid, and the smart grid is an important application of the internet of things. In recent years, the smart grid was listed in one of the top ten applications of IoT, and the development of IoT in power grid by the concerns of the community. This paper first introduces the basic connotation of the IoT and analysis of the shortcomings of the current power development of the IoT. Combined with the planning and operational characteristics of smart grid, the development stage, hierarchical research and the key technology are summarized. Finally, we look forward to an advanced form of IoT in power grid.
Design and Realization of the Demonstration System for Monitoring Tobacco by Remote Sensing
Authors: Ling Zhi Gang , Li Yu Peng , Ma Zi Qiang , Liu Xiang , Gou Zheng Gui , Tang Yan Lin
Published: March 2013

The demonstration system of tobacco monitoring by remote sensing was made with use of the characteristics and advantages of 3S technology. This paper describes the function of the system design ideas and main display functions such as estimation planting area of tobacco, monitoring tobacco growing and yield estimation of tobacco. The key technologies of the system are data acquisition, preprocessing and data organization.
Research on the Significance, Measures and Steps of Constructing Knowledge Base of Regional Library in Poyang Lake
Authors: Yu Cai Xia , Yang Dei Hui , Zhang Man
Published: March 2013

This paper elaborates knowledge base construction of Poyang Lake regional library from its background to its measures and steps of constructing it based on theory and application of knowledge base. From the integration of resources to promotion of cultural construction and economic development,the paper propose the organization strategies and special database of the knowledge base.Finally, the paper emphasizes on discussing selection strategies and service pattern of Poyang Lake regional library knowledge base.
Study on Universal Steganalysis for BMP Images Based on Multi-Domain Features
Authors: Yan Yan , Li Li Ting , Xue Jian Bin , Liu Hong Guo , Zhang Qiu Yu
Published: March 2013

Steganslysis is an important research issue in information security. Aimed at the most commonly used cover media, digital images, the paper proposed a new method of universal steganalysis method based on multi-domain features. Features were extracted from spatial domain and DWT domain to overcome the drawbacks of steganslysis algorithm for specific steganography, such as high complexity and low correct detecting ratio. Experiment results show that the proposed algorithm can solve the low detecting problem and achieve a better reliability on low embedding rates.
A Simulation of E-Commerce with Gnat
Authors: Shen Yu Hui , Hao Han Zhou
Published: March 2013

DNS and the location-identity split, while technical in theory, have not until recently been considered practical. In our research, we prove the synthesis of replication. In this paper we demonstrate that though link-level acknowledgements and the producer-consumer problem can synchronize to achieve this objective, SCSI disks can be made reliable, random, and ubiquitous.
Analysis and Adjustment Proposal of Ordos’ Industrial Structure Based on Shift-Share Method
Authors: Shi Yan Li , Xie Xiang , Yang Xu Hui
Published: March 2013

It has important and practical significance for realizing the resource-dependent city Ordos’ future coordinate and sustainable development that studying it’s industrial structure, analyzing its rationality problem. Rationality of Ordos’ industrial structure is analyzed based on the recent 5 years’ data of three national industrial structure, using shift-share method, taking Inner Mongolia autonomous region and China as references respectively. The results show that most industrial momentums grow well and have competitive ability, but the proportion of its dominant class industry in three industrial structures is small, which is not reasonable, needing adjustment and further configuration. At last, according to problem in the process of Ordos’ three industrial structure development, the adjustment and development proposal are put forward including agriculture and animal husbandry, coal industry , finance, tourism, modern services and other industries.
Study on Space Structure and Characteristic Development under the Urban Functional Orientation - Take the Central Area of Xinzhou as Example
Authors: Liu Chang , Liu Yuan Ping
Published: March 2013

Upon the direction of changes and developments for the urban functional orientation, under the new situation, of Xinzhou, Shanxi province, suggestions and measures are proposed for urban characteristic development of Xinzhou by conducting investigation and evaluation analysis to its current urban space structure, which aims to offer references for the unique functional orientation that urban area of Xinzhou city integrates into Taiyuan metropolitan circle, and characteristic development on space structure.
A Review on some Significant Methods in Operations Management
Authors: Zhang Yao Li , Xie Guang Ying , Chen Jing
Published: March 2013

Reviewed seventeen operations management methods, namely JIT, Kanban Management, LP, AMS, FMS, CE, MRP, Closed Loop MRP, MRPⅡ, ERP, SCM, BPR, ISO9000, Six Sigma Management, TQM, OPT, TOC, and classified them into four levels: Manufacturing process, manufacturing system, quality assurance and operation philosophy. Development tendencies of operations management are also analyzed from the four levels respectively.
The Quantitative Evaluation Research of Grid Planning Economy Based on Improved DEA Model
Authors: Li Hui , Li Jin Chao , Liu Zi Fa , Wang Zhi Dong , Li Wei Shu
Published: March 2013

To solve the problem for the complexity of the quantitative evaluation of grid planning economy, in accordance with the principle of cost-benefit analysis, and combined with the characteristics of UHV power grid, we construct an input-output index system which contains the planning costs, economic benefits, the benefits of interconnection, environmental benefits, social benefits and other benefits in this paper. And for the problem of comparison between unexpected output indicators and effective unit that exists in the index system, we improve the traditional data envelopment analysis (DEA), and build a quantitative evaluation model of grid planning economy based on the improved DEA model. Finally, use the data of the planning program of a UHV grid, to test and verify the established evaluation model. The results show that the model is reasonable and effective.
Workshop Facility Layout Optimization Based on the Crowding Niche Cellular Genetic Algorithm
Authors: Lu Tong Tong , Liu Zheng , Zhang Yi , Zhan Teng
Published: March 2013

Workshop facility layout belongs to a kind of combinational optimization problem, which has the characteristics of nonlinearity and not being easily solved with conventional methods, therefore it is regarded as a typical NP hard problem. This paper proposed a crowding niche cellular genetic algorithm. By introducing niche crowding technology to select the best individuals, the population diversity was well maintained. On the other hand, neighbors in cellular automata were adopted to study more on the cellular topological optimization structure, which enhanced the global searching ability of the algorithm. In addition, multi-line workshop facility layout problem has been optimized in the paper, which verified that the crowding niche cellular genetic algorithm was effective and applicable.
Research on Risk Index Reduction in Chain Retail Enterprises
Authors: Cui Mei Luan , Zhang Hui Yan , Xue Hong
Published: March 2013

A risk index reduction model based on rough set theory is put forward, because of the risk index of distribution of supply chain in retail enterprises is large and much redundant, and it is difficult to determine the decision rules through the complex index. Naive Scaler algorithm is used to discrete the risk index data, then an algorithm of attribute reduction based on mutual information entropy is used in decision table to reduce index and build risk index system optimal model. The results of example show that this system can reduce the redundancy index of risk index system fast and efficient and provide the basis for making the risk decision.
Entropy Model on the System Management Structure Order Degree Evaluation
Authors: Zhao Xiang , Liu Tie Lin , Feng Bing
Published: March 2013

The management structure that the paper discussed is from the equipment maintenance unit. The structure is the base and support system of the unit. The optima design of the structure possess the basal position in unit management .Based on the theory of entropy, this paper analyses the influence of system management structure on the system information flow. It evaluated the order degree of system management structure in view of information, introduced two concepts: time- effect and quality of information flow and established the Time Effect-Quality Model (TEQM). With TEQM, it is possible to optimize and quantitatively evaluate the system management structure. In addition, the paper also supplies detailed calculating steps of order degree of system management structure, and provides an example at the end.