bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Simulation on Oil-Flow-State of Gap Oil Film in Sector Cavity Multi-Pad Hydrostatic Thrust Bearing
Authors: Yu Xiao Dong , Meng Xiu Li , Jiang Hui , Lou Xiao Zhong , Wu Bo , Xiang Hong Jun , Sun Xian Zhu , Yang Chang Qing , Wang Jun Feng
Published: November 2010

Hydrostatic thrust bearing lubrication is significantly affected by the oil flow state of gap oil film, but it can not be measured by experiment and analysis. For this problem, the oil flow state of gap oil film in sector cavity multi-pad hydrostatic thrust bearing during rotation was simulated by using computational fluid dynamics, lubricating theory, and Finite Element Method. Laminar model and κ-ε turbulence model were adopted to model incompressible steady equations, and the equations were discreted by using Finite Volume Method and Second-order Finite Difference. By comparing the calculated results of numerical simulation and semi-empirical theoretical equation, the numerical simulation is proved feasible in oil film state analysis parameter prediction, which can overcome the deficiency of single model and get good effect. Streamlines and velocity vectors show that the lubricating oil flow in the resistive oil edges and oil cavities are laminar flow under the conditions of speed and flow in less than a certain value, while the flow and speed are more than a certain value, the lubricating oil flow in the resistive oil edges is also laminar flow, but the lubricating oil flow in the oil cavities is turbulent flow, then determines critical flow and critical speed. The critical flow and critical speed were determined, it provides a theoretical basis of the temperature field and thermal field deformation calculation.
On Product Refinement Design and Prototype Test
Authors: Xie Zhi Bin , Shi Lei
Published: November 2010

This paper applies the method of multi-subject synthetic study for product refinement design and prototype test. Many kinds of limited conditions to product refinement design were researched. It discovered that there are lots of relationships of observation, using, sentimental exchange, research, collection with human. There are also relationships with political and social environment, economical environment, market environment, natural resource environment, technical environment, cultural environment. Product refinement design is based on human vision rule and product intrinsic special function. The paper observed the principle of vision and psychological of gestalt and Berlyne rules, limited by technical manufacture level, facing request of ergonomics and product semantics, examined by fashion symbol in business environment, needs cultural connotation to promote product value, and it needs product identity design to carry on standard operation to product system.
One-Step Alcohothermal Synthesis and Growth Mechanism of NiSe2 Porous Octahedron
Authors: Zhu Yan Hua , Ma Jing Jing , Yang Qing
Published: November 2010

Microscale crystalline NiSe2 porous octahedrons have been solvothermally synthesized from reaction of NiCl2∙6H2O with Se powder in ethanol with dodecylbenzene sulfonic acid sodium salt as surfactant at 200°C for 20h. The samples are octahedral crystals with mean size of 2 micron in diameter and the micro-octahedrons present porous morphologies. The octahedral NiSe2 microcrystals exposed with {111} facets are grown under a thermodynamic process and the porous textures within the octahedrons are resulted from the cooperative effects of the oxidation of selenium in HNO3 and the coordination of Ni2+ with Cl– under the alcohothermal process. The surfactant increases the monodispersity of the NiSe2 crystals with octahedral shapes.
Optimal Dispatch of Power System with Stochastic Wind Generation
Authors: Wang Shuang , Yang Hong Ming , Zuo Shuang , Xu Wen Jun
Published: November 2010

Large-scale wind power incorporated into power grid brings new challenges to optimal dispatch of power system. Especially, wind power at different locations may has a significant degree of correlation. A copula function was used to characterize the Joint Probability Distribution (JPD) of wind power from multiple wind farms considering their correlation. An optimal dispatch model based on Chance Constrained Programming (CCP) for power system with multiple wind farms was set up. And Sample Average Approximation (SAA) was proposed to transform the chance constrains. Finally Genetic Algorithm (GA) was employed to solve the optimal model. Simulation results indicate that copula function can well express the correlation of wind power from multiple wind farms and SAA has been a dramatic increase and improvement on the search of solution.
Optimization Design of the Secondary Calibration of Line Structured Light Vision System
Authors: Zhang Ka , Cheng Xiao Sheng , Dai Ning , Cui Hai Hua
Published: November 2010

As the traditional calibration methods are difficult to ensure the calibration accuracy and system stability, a new optimization design of the secondary calibration based on Levenberg- Marquard (LM) algorithm is proposed. It is the optimization and correction of the first calibration results. The method introduces the optimization idea of the LM algorithm. The required objective function can be obtained by capturing the image of standard block after the first system calibration. The problem is solved satisfactorily with the optimization theory of LM algorithm. Experimental results show the optimized system accuracy is less than 0.01mm, RMS error is less than 0.02mm. The proposed algorithm has significant effect on accuracy improvement, and the system is more stable.
Optimization of Collaborative Scheduling in Supply Chain
Authors: Zheng Zi Zhao , Hu Yan Hai
Published: November 2010

The optimization of collaborative scheduling in supply chain was studied. Aimed at minimizing processing time, the model of collaborative scheduling in supply chain was established. The genetic algorithm using hybrid double-coding was applied to the model. By analysing suppliers’ scheduling, the scheduling results can direct suppliers to reasonably arrange the production and act as reference for manufacturers in distributing orders also. The numerical experiments show that the satisfactory solution can be obtained through optimization.
Optimum Design of Flat End Face Mechanical Seal Based on Coupling Analysis
Authors: Zhou Jian Feng , Gu Bo Qin , Shao Chun Lei
Published: November 2010

The flat end face mechanical seals are widely used in shaft sealing at moderate rotational speed. The thermal deformation of the rotating and stationary rings initiated by friction heat of fluid film should be primarily considered in the design of mechanical seal. In consideration of the coupling effect among the thermal deformation of sealing rings, the fluid flow in the gap composed by end faces of sealing rings and the heat transfer from fluid film to sealing rings, the optimum design method for flat end face mechanical seal is established. The end faces are fabricated to form a divergent gap at the inner side of the sealing rings, and a convergent gap will occur at the outer side and a parallel gap will be obtained at where the original divergent gap is due to the thermal deformation. After optimization, the leakage rate can be reduced while the bearing force of fluid film is still large enough to keep the fluid lubrication of the end faces.
Performance Analysis and Parameter Optimization of a Planetary Mixer
Authors: Yang Ming Jin , Li Xi Wen , Shi Tie Lin , Yang Shu Zi
Published: November 2010

According to axial symmetry of geometric and kinematical features of the mixing domain of a planetary mixer, definitions of impact factor of crossing, mixing rate and mixing time were put forward for the performance analysis and parameter optimization of the mixer. It was found that the speed ratio of rotation and revolution of the screw blades has strong influence on the mixing process. An optimum revolution speed was obtained on conditions of the speed ratio of rotation and revolution being constant. The fluid mixing system in the mixing tank can be optimized through geometric and kinematical parameters optimization.
Preliminary Exploration on Control Theory of Ultraprecision Stage with Large Travel
Authors: Shi Liang , Lin Bin
Published: November 2010

With the development of science and manufacturing technology, the whole performance of precision machining stage system with high precision and high resolution directly influences the accuracy of precision and ultraprecision cutting process, fine measurement accuracy and GSI manufacturing level. Actually, linear motion of worktable refers to the linear motor movers positioning. The main contribution of this paper is the development of a mathematical model based on precision stage control system, in accordance with the principle of linear motor and PID control. The simulation results of unit-feedback position PID control, velocity PID control, position and velocity dual loop feedback control are presented and analyzed separately in SIMULINK toolbox of MATLAB to discuss the proposed control outcome in detail.
Processing Quality Dynamic Control Based on Quality State
Authors: Yao Yi Yong , Zhao Li Ping , Qin Yong Tao
Published: November 2010

Depending on the identification methods of quality state such as correlation analysis, a quality identification and control model based on quality state was established in this paper. This model included formal description methods, identification methods, and quality control strategies. Based on the product quality data correlation analysis, the model’s application procedures were put forward. It provides an effective approach to maintaining ideal quality state, to improving the stability and controllability of quality control system. It constructs an application foundation for quality dynamic control.
Realization of Expected Direction Angle of SGM Spiral Bevel Gears Based on Local Synthesis
Authors: Liu Guang Lei , Tian Yue Jun , Jiang Ping
Published: November 2010

The authors propose an optimization method based on local synthesis to fulfill the expected contact path (ECP) at mean contact point (M) of spiral bevel gears. The method is a combination of local synthesis, tooth contact analysis (TCA) and application of optimization. Machine-tool settings based on local synthesis are found and contact path (CP) on tooth surface is formed. TCA extracts the information from CP and transforms it to a projected CP (PCP) by rotation in a plane across gear axis. An objective function is established by contrasting ECP to PCP. A program in Matlab language is developed for the simulation of objective function optimization. A spiral bevel gear drive in aviation accessory gear box is used to prove the feasibility of the proposed method. It shows that the method is effective and does not affect transmission errors very much for the realization of ECP.
Reliability Analysis and Improvement of ATCs of CNC Lathes
Authors: Wang Yi Qiang , Wang Xiao Jun , Hua Shun Ming
Published: November 2010

An automatic tool changer (ATC) is one of the most important subsystems of a computerized numerical control (CNC) lathe. The field failure analysis is very important to improve the reliability of the ATC. The structure and mechanism of an ATC is briefly introduced. Its brief reliability block diagram is set up. With this understanding, through the collection of the field failure data, a coding system to code failure data is devised and a failure analysis database of CNC lathes is accrued. The failure mode and cause are analyzed to indicate the weak subsystem of the ATC. Some suggestions on improving the reliability have been proposed.
An Attempt of Using the National Color Culture on Product Design
Authors: Zhou Yue Xi , Yang Li Li
Published: November 2010

Color does not only embody the national culture, but also is an important factor on product design. Based on the purpose of increasing the factors of national culture on product design, this paper, both analyzes the benefits to introduce the Chinese tradition color cultural on product design, and how to extract its elements to product's color design. Through teaching and social practice, we have a new attempt on the practical application of the Chinese traditional color culture. By the analysis and experiments, showing that the introduction of the Chinese traditional color culture to product design is feasible.
Research of Core Competitiveness of Zhejiang SMEs Based on Industrial Design
Authors: Jiang Zhi Wei , Yang Min
Published: November 2010

This paper first analyzed the characteristics of the overall situation of industrial design. It then explored the position and trends of industrial design in the context of modern manufacturing and producer service in Zhejiang province. Finally, the paper analyzed how to build SMEs core competitiveness of the value chain of the industrial design model and the innovation in genetic model in line with the pattern of Zhejiang Industrial Structure Adjustment.
Research of Multi-Scale Mechanics Behavior in Hierarchical Porous Bio-Ceramics
Authors: Zhan Nan , Chen Jin Long , Liu Qian
Published: November 2010

This paper studied on micro/macro-structure of porous bio-ceramics with hierarchical structures in different scales. Established the connection between the micro and macro pores, results show that with the increment of porosity in micro-structure, the solid material effective property in the macro-structure increased and it is influenced by the porous arrangement. Then in the preparation process, defects such as cracks are easy to be introduced, at the macro-structure level, based on the principle of extended finite element method, studied of porous bio-ceramics containing cracks, the prediction of crack paths and critical loads were obtained with different porosities.
Research of the CAD/CAM Technology Applications in Product Model-Making
Authors: Ge Qing , Wang Yin , Ding Ji Jun
Published: November 2010

With the flourish of the industrial design, the product model-making has become a professional sector. Based on the CAD/CAM technology, product model-making is vigorous flourishing. CAD/CAM technology consists of computer-aided design and computer aid manufacture. The paper presents an analysis on CAD/CAM Technology Application in forklift product model-making, where the product model-making for the CAD/CAM manufacture includes modeling CAD/CAM technology in the product data model and CAD/CAM integration NC programming system in the product model NC machining applications.
Research on Binderless Tungsten Carbide Prepared by Spark Plasma Sintering
Authors: Li Xiao Qiang , Xiao Zhang Yi , Yang Chao , Qu Sheng Guan
Published: November 2010

Commerical pure WC powders of 0.2, 0.4, 0.8, 2.0 and 3.0 m in diameter were sintered by spark plasma sintering process at 1300 °C, respectively. By analyzing the XRD patterns of the initial powders and the microstructure of the sintered samples, it is affirmed that the powders with an average size of 0.8 m exhibits the best activity and sintering property. To optimize sintering temperature, the sintering of 0.8 m powders was carried out at 1200-1700 °C. The specimen sintered at 1300 °C has a density of 15.49 g/cm3 and an average grain size of about 0.7 m, and exhibits the most excellent mechanical properties. The corresponding Vickers hardness and transverse rupture strength are 2469 HV and 1656 MPa, respectively.
Stock Price Combination Forecast Model Based on Regression Analysis and SVM
Authors: Kong Feng , Song Guo Ping
Published: November 2010

According to the features of stock price change, a new forecast model, based on the regression analysis and SVM, is proposed to solve the problem of the stock price prediction. First, the regression analysis model is used to forecast stock prices, and then SVM was established to forecast and correct the error. The combined predictive values are obviously better than single method. Empirical analysis shows that the stock price based model based the regression analysis and SVM model significantly improved the forecast accuracy, it shows that the method in this paper is worth to be extended and applied.
The Optimum Design of Ship Turbo Generator Reducer Based on Shock Characteristics
Authors: Wang Yu , Chen Xing Lin , Li Guang Min , Liu Xiao Yi
Published: November 2010

The turbo generator reducer is important equipment in the ship power system and its structure and materials is the significant assurance for the naval vitality. The Pauta Criterion method is used to determine the weak link of the reducer. And that the optimum design of anti-shock characteristics is done in material and structure aspects which focus on the weak link and danger area of the reducer gear case. The results show that the safety vibration margin of the reducer could be increased using the materials with higher yield limit and also the anti-shock capability. At the same time, the safety vibration margin of the reducer could be improved by thickening the slab of the structure, and the degree of the margin of safety improvement is different due to the difference of the slab thickness modification. The research of anti-shock characteristics optimization of the generator gear case aims to offer references for the optimum design of the navy power system.
Analyzing Speed Accuracy Trade-Off in Control Movement Mechanism with Error Enforcement
Authors: Saipunidzam Mahamad , Shakirah Mohd Taib , Mohammad Noor Ibrahim
Published: November 2010

This paper presents the empirical results from experiment on speed-accuracy trade-off in ‘drag and drop’ movements. Although the previous work has modeled a theorem, framework and achievement, but some researcher focused only on the system error. In this paper, we design an analysis mechanism with the software that could behave as actual computer in producing error (system bug). This study aims at investigating the user anticipation in multiple modalities in relation to users’ performance. The multiple modalities represent four feedbacks; default, audio, text and visual that integrate with error enforcement forcing error with certain percentage to simulate system error and actual computer behavior. The finding shows the average means of 4.0667 for feedback modality of which, we conclude that the users anticipate with feedback modality can reacts to improve their performance in movement mechanism.
Nanogold Aggravating MEMS Cantilever Piezoelectric Optical Detection Biochip
Authors: Deng Zhong Liang , Ge Yue Tao , Guan Wei Guo , Zhang Nai Bo , Cao Qi Ke
Published: November 2010

A kind of array micro-electromechanical systems (MEMS) cantilever of biochip is designed, which piezoelectric devices drive MEMS cantilever resonance. Before and after hybridization reaction, by the change of the resonant frequency of the cantilever, it can detect the cantilever amplitude through optical detector to judge whether the solution containing the cantilever probe genes. In order to improve detection sensitivity, it aggravate cantilever by gold nanoparticles combining hybridization information, applying Au-S chemical bond of gold nanoparticles and dithiol HS(CH2)6SH to combine and fix DNA probe and applying target DNA marked with biotin to combine gold nanoparticles by Biotin - Streptavidin combining. The results shows that this biochip can detect biological samples fast, high throughput, low cost, high sensitivity and reliably.
Human Pose Tracking For Video Using SURF features
Authors: Yi Ou Yang
Published: November 2010

In this paper, a novel method based on SURF features method for tracking human motion in monocular videos is proposed. With a initial human skeleton joint point template, we use the probability density propagation of the particle filers through the model. This algorithm can automatically achieve right human motion figure from tracking failures, such as occlusion and auto-occlusion problem. Experimental results from 20 classes monocular videos show that the new Based on SURF method is robust and the tracking results are good.
Preliminary Study on Quantification of Duck Color Based on Fuzzy K – Nearest Neighbor Method
Authors: Tu Dong Cheng , Zhao Jin Hui , Liu Mu Hua , Shen Jie , Yu Fang
Published: November 2010

In order to quantify duck color quickly and accurately, a visible light image acquisition system was developed in this study. Firstly, duck breast meat was extraced from the original image using over-threshold segmentation method; and then image fleshcolor features including average value of L*，a* and b* were extracted through color space conversion; finally, fleshcolor features were used as characteristic parameters to establish quantification model for duck color based on the method of Fuzzy k-nearest neighbor (F KNN) and BP neural network and the experimental datas gotten from the two methods were analyzd in contrast. The results showed the accuracy rate of test samples by F KNN method was higher than that of BP neural network, the accuracy rate was 83.78% and 78.38% respectively. Therefore, F KNN method was selected for quantification of duck color in this research.
Status and Trend of Research on Top-Quality Course in Vocational College Based on Network
Authors: Li Shu Ying , Li Qun Ming , Zhang Yong Qiang
Published: November 2010

Construction of higher vocational college course is one of the important measures of improving higher vocational education quality. It will help to find problems and deficiencies that we analysis the status and level of study on top-quality courses of vocational college, which can provide the theoretical basis to courses in the future. This study analyzes and counts the paper, which be published in domestic journals between 2005 and 2010, with content analysis method. The study found that the number of research papers on excellent courses of vocational colleges had been increased over the past six years, but the theoretical study was not in-depth, researchers and theoretical levels should be improved; research method needs to be diversified; the scope of the study should be balanced.
Study on the Operational Characteristics of Hybrid A2/O Process at Low Temperature
Authors: He Jun Guo , Ke Li , Han Bao Ping , Liu Fei , Liu Jian
Published: November 2010

By studying the operational characteristics of hybrid A2/O process, the operation data optimization was identified through the study of how the dosage of carrier and the return ratio affect the process. The results showed that under low temperature, 52.5% dosage ,20% return ratio to the anaerobic tank and 75% return ratio to the aerobic tank, the process could not only realize the simultaneous nitrogen and phosphorus removal, but also could reduce the operational cost.
On Mode Split Model of MAS-Based Urban Rail Transport Ridership Forecast System
Authors: Zhao Jing Bo , Bei Shao Yi , Zhang Lan Chun , Liu Hai Mei
Published: November 2010

Ridership forecast of urban rail transport is one of the important bases for urban rail transport network planning, design, construction and operation. MAS-based ridership forecast system was designed and the architecture was proposed. Forecast model is one of the important parts of Forecast Agent, and is the key technology to realize ridership forecast. The forecast model is established from the aspect of mode split model based on improved Fore-stage iterative feedback method. The mode split model includes three aspect of resident population, floating population and bus sub-way. The design of mode split model provides the prerequisite for the design and development of ridership forecast system.
Speed Ratio Control Study on CVT with Electrical Pulley Actuation System
Authors: Zhang Lan Chun , Bei Shao Yi , Zhao Jing Bo
Published: November 2010

The speed ratio control for an electrical CVT with speed ratio controlled by two motors located on primary and secondary pulley respectively for the variable pulley set (variator) is studied. Firstly, the speed ratio control strategy and method are designed based on the factor influenced to speed ratio control precision which is analyzed by means of combining theory analysis with experiment test; Secondly, the speed ratio control model for CVT with electrical pulley actuation system is established; Finally, the simulation is carried out to verify the validity of the control strategy and method.
Monitoring Software Based on LabVIEW and DSC Module
Authors: Chen Xiao Xia , Yao Xue Song
Published: November 2010

The medium-sized and minitype industry process control system has less I/O points. So to decrease the system cost, proposes to use LabVIEW and DSC Module to replace the expensive business configuration software and complicated code program. LabVIEW can reduce cost by building application and be reused, DSC module can shorten developing time and increase system credibility by abundant controls. Introduces the developing method of SCADA function in common use, puts forward different methods and each characteristic in data logging and historical data storage, and provides some important block diagram.
Modeling and Prediction of the CNY Exchange Rates Using RBF Neural Networks versus GARCH Models
Authors: Liu Zhao Cheng , Liu Xi Yu , Zheng Zi Ran
Published: November 2010

The CNY exchange rates can be viewed as financial time series which are characterized by high uncertainty, nonlinearity and time-varying behavior. Predictions for CNY exchange rates of GBP-CNY and USD-CNY were carried out respectively by means of RBF neural network forecasters and GARCH models. GARCH is a mechanism that includes past variances in the explanation of future variances and a time-series technique that we use to model the serial dependence of volatility. The detailed design of architectures of RBF neural network models, transfer functions of the hidden layer nodes, input vectors and output vectors were made with many tests. While experimental results show that the performance of RBF neural networks for forecasting spot CNY exchange rates is better than that of GARCH, both of them are acceptable and effective especially in short term predictions.
A Three-Dimensional Transmission Line Management System Based on TerraExplorer Pro
Authors: Liu Xiao Ling , Fan Chong , Zhan Jian Feng
Published: November 2010

Aiming to the features and demands of transmission line information management and merging the remote sensing images, digital elevation model and GIS layers, this paper creates a three-dimensional scene of transmission line, which takes TerraExplorer Pro as basic platform and combines the attribute information of transmission line, and develops an interactive and visualized management system which is oriented to power system. The system realizes the 3D display, query and analysis of transmission line and provides the integrated supports to the design, construction, operation and maintenance at a certain extent
Study on Hardware-in-the-Loop-Simulation of Hydroturbine Governing System
Authors: Song Hai Hui , Xie Yun Min , Cai Wei You
Published: November 2010

This paper introduces a testing mothod about hydroturbine governing system based on dSPACE hardware-in-the-loop-simulation. PID parameters are adjusted by hardware-in-the-loop -simulation. The results of the simulation show that it can provide simple, intuitive simulation model, and make parameters adjusting more intuitive and easier. The validity of the testing platform have been testified by the results of real-time simulation and hardware-in-the-loop-simulation. The superiority of controldesk in the real-time simulation is prominent.
Sedimentary Facies Study for IV Sand Group of the Second Member of Qingshankou Formation in Daqingzijing Area
Authors: Yan Wei , Zhang Jin Liang , Lei Cun Lei
Published: November 2010

Sedimentary microfacies of Ⅳ sand group of the second member of Qingshankou formation in Daqingzijing area are interpreted jointly with careful core description, sequence and distribution of sandstone. The area also develops delta. Sedimentary microfacies shows that sand body size is becoming smaller and in the transgression period of Ⅳ sand groups of the second member of Qingshankou formation in the region. Sedimentary center has better properties, and the lateral margin of sand body is easy to form lithologic reservoir.
A Fault Diagnosis Method Based on Constrained Frequent Pattern Trees
Authors: Cai Jiang Hui , Meng Wen Jun , Chen Zhi Mei
Published: November 2010

Data mining is a broad term used to describe various methods for discovering patterns in data. A kind of pattern often considered is association rules, probabilistic rules stating that objects satisfying description A also satisfy description B with certain support and confidence. In this study, we first make use of the first-order predicate logic to represent knowledge derived from celestial spectra data. Next, we propose a concept of constrained frequent pattern trees (CFP) along with an algorithm used to construct CFPs, aiming to improve the efficiency and pertinence of association rule mining. The running results show that it is feasible and valuable to apply this method to mining the association rule and the improved algorithm can decrease related computation quantity in large scale and improve the efficiency of the algorithm. Finally, the simulation results of knowledge acquisition for fault diagnosis also show the validity of CFP algorithm.
Intelligent Knowledge for Product Innovation
Authors: Li Xing Sen , Li Qiao Xing , Zhou Li
Published: November 2010

Innovation is more and more important for enterprises or most of organizations, but the results of many innovation activities are not satisfied. We find that the reason lies on insufficient knowledge management which can not supply systematic knowledge to support the requirement of innovation. Even worse the lacked knowledge is seldom been aware of. By studying on the Extension Theory (Extenics) and web intelligence, we proposed a novel knowledge management methodology called Intelligent Knowledge (IK) management. It can integrate knowledge from different sources such as human experience, the web or data base and construct a systematic knowledge map for product innovation. It gives a way to compensate the limitation of human knowledge and help people to find more ideas based on all-direction knowledge supported by information technology and Extenics. Its application in an electric company shows that IK-based product innovation is a useful model.
A New Embossing Method for Gray Images Using Kalman Filter
Authors: Huang Zhi Kai , Zhang Xing Wang , Zhang Wei Zhong , Hou Ling Ying
Published: November 2010

In this paper, we propose a new embossing algorithm for gray images using Kalman filter. First, a 2D gray image is first converted to a one dimension vector; those vectors could be considered as a one-dimension discrete-time signal. Then, the performance of image filtering using Kalman filter for image is studied and according to its results, Canny edge detection operators are investigated to find edge map in a gray scale image. Finally, enhance contrast using histogram equalization has been applied. Compared with other conventional embossing method for images, it is an impressive experimental result using our proposed algorithm for gray image embossing. Practical results show that this algorithm can be exploited in different fields such as image pattern recognition.
Fuzzy Control and Co-Simulation of Automobile Semi-Active Suspension System Based on SIMPACK and MATLAB
Authors: Bei Shao Yi , Zhao Jing Bo , Zhang Lan Chun , Liu Shao Hua
Published: November 2010

Using the multi-body simulation software SIMPACK as platform, a whole CHANGHE mini-car model was built. A fuzzy controller was adopted based on MATLAB/SIMULINK software to control the full car model. Pulse input running test simulation was carried out under co-simulation of SIMAT. The results showed that compared to passive suspension, with the speed 40km/h, the body vertical acceleration, body pitch angular velocity, standard deviation and peak were respectively decreased by 10.76%, 18.03% and 20.48%, 12.13%. The semi-active suspension system with fuzzy controller had better performance than passive suspension, reduced vibration effectively and improved automotive ride comfort.
Testy Study on Vehicle Test Rig with Electric Control and Hydrostatic Drive Using a Revised Fuzzy Algorithm
Authors: Zhang Qing Yong , Zhang Lan Chun , Zhao Jing Bo
Published: November 2010

This paper investigates test study of vehicle test rig with electric control and hydrostatic drive (ECHD). The test rig is built up based on the hydrostatic transmission and measurement & control components are the virtual instruments, PXI and labview. At the starting point, this study considers the speed control of the hydrostatic transmission using a revised fuzzy logic law to find the optimal solution for displacement varying of hydraulic variable Pump/Motor assuming a static speed as target speed. And based on the revised fuzzy logic, the typical driving cycle is employed to verify its process control effectiveness. The test results provided by the revised fuzzy logic test demonstrates the effectiveness in speed control of the ECHD vehicle.
Personalized Recommendation System Based on Association Rules Mining and Collaborative Filtering
Authors: Gong Song Jie
Published: November 2010

With the rapidly growing amount of information available, the problem of information overload is always growing acute. Personalized recommendations are an effective way to get user recommendations for unseen elements within the enormous volume of information based on their preferences. The personalized recommendation system commonly used methods are content-based filtering, collaborative filtering and association rule mining. Unfortunately, each method has its drawbacks. This paper presented a personalized recommendation method combining the association rules mining and collaborative filtering. It used the association rules mining to fill the vacant where necessary. And then, the presented approach utilizes the user based collaborative filtering to produce the recommendations. The recommendation method combining association rules mining and collaborative filtering can alleviate the data sparsity problem in the recommender systems.
Adaptive Cruise Control Using Sensor Fault-Tolerant Control
Authors: Wang Wen Shen , Huang Chen
Published: November 2010

In order to ensure the safe and reliable operation of adaptive cruise control (ACC) system, the fault-tolerant control theory is used to design the feedback control for acc system and the control rule for sensor failure in the linear continuous system is described. On the basis of riccati equation, the design method and steps of fault-tolerant controller are given from the view of optimal control. By taking adaptive cruise control of a certain mini car as research object, the simulation calculation is carried out. By applying such fault-tolerant controller for the acc system, the simulation results show that the system has no sensitiveness to the sensor faults, and the method can satisfy the demand of fault-tolerant control.
Evolutionary Game Theory-Based Modeling and Stability Analysis of Subsidy Policy on Safety Investment in SMEs
Authors: Lu Yu Mei
Published: November 2010

Evolutionary game theory originated as an application of the mathematical theory of games to biological contexts, having the advantages of truly reflecting the diversity and complexity to provide theoretical basis to study macro-control group behavior. The evolutionary game theory-based modeling and stability analysis of subsidy policy on safety investment in SMEs is studied, and the simulation about the effect of the alteration of the ratio on the evolvement results is executed. The results indicate that the safety subsidy of local governments can enhance SMEs’ enthusiasm to invest. It has excellent significance to study further how to achieve equilibrium between SMEs and local governments using evolutionary game theory, and to provide theoretical basis to study operation mode of subsidy policy on safety investment in SMEs.
Implementation of Static Web-Pages Generator Using JavaScript
Authors: Jiang Wen Rong , Yan Ji Hong
Published: November 2010

This paper describes a method to solve a lot of companies want to own website but lack the time and technology problems. The paper makes a common application proposal of implementation of static web-pages generator.Using this method allows companies to save time to make the site so that merchants had more energy to take into account customer’s needs and interests.
Analysis and Design of a FBG Intelligent Flexible Structure Based on Orthogonal Curvatures
Authors: Sun Bing , Zhu Xiao Jin , Qiao Xiao Ping , Jiang Lina , Yi Jin Cong
Published: November 2010

With the research model of intelligent flexible structure by Fiber Bragg Grating (FBG) sensor, the dissertation deals with a design and manufacture methodology for FBG sensor array based on orthogonal curvatures, and offers the experiential analysis and validation. On basis of brief introduction to the principle of FBG sensor to detect curvatures and methodology of structural morphological reconstruction, detailed description of design solutions and manufacture processes have yielded based on orthogonal distributed FBG sensor array which includes some technological parts as the configuration of orthogonal distributed FBG sensor array, the technology of perception range-proportion and orthogonally contrapuntal-pasting, the method of casing and encapsulation, calibration for model structure and so on. Fitting and reconstructing of the model structure and validation of visualization is split up based on intelligent flexible model structure we make and experimental platform we develop. Thus, the result of the experiment adequately shows the FBG intelligent flexible structure designed and produced in the dissertation gives a splendid on fitting and reconstruction, in which the feasibility and validity of the design methodology and key technology has been proved deeply.
Structural Characteristics and Photocatalytic Capabilities of Visible-Light Enabled Columnar TiO2 Films
Authors: Wu Kee Rong , Hung Chung Hsuang , Chang Hao Cheng , Sun Jui Ching
Published: November 2010

Visible-light enabled titanium oxide (TiO2) films deposited on indium tin oxide (ITO) substrates are investigated for their capabilities to both pollution control and splitting water on hydrogen production. Three types of TiO2 films are prepared at different levels of doping nitrogen (N) and carbon (C) and sputtering power. All three samples are similar in morphological and microstructural features, but differ in their interfacial phase and dopants. For the N,C-codoped TiO2 film prepared at a higher sputtering power, tin ions can permeate into the growing TiO2 film from the ITO substrate and promote the formation of crystalline Ti1-xSnxO2 layer. It shows the highest photocatalytic oxidation rate over methylene blue (MB) solution under ultraviolet and blue light irradiation, respectively. This is ascribed to the photosensitized carbon on the columnar grains, leading an increase in the MB adsorption capacity and light harvesting efficiency. Conversely, the N-TiO2 film prepared at a lower power exhibits the highest photocurrent density of which a higher Schottky barrier formed at the TiO2/ITO interface. A hydrogen yield rate of 0.25 μmol/cm2 h is obtained under blue light irradiation. These suggest that the interfacial properties of TiO2/ITO film and C-doping truly control its photocatalytic capabilities in addition to the well-known surface states.
Deposition of Nitrogen-Doped TiO2 Films on Unheated Substrates Using DC Magnetron Sputtering Technique
Authors: Wu Kee Rong , Hung Chung Hsuang , Wang Chien Chung , Li Hua Wu
Published: November 2010

The optimal process conditions for preparing nitrogen-doped titanium oxide (N-TiO2) films on unheated glass slides were investigated at various nitrogen (N2) flow rates. Films were found to exhibit significant polycrystalline structure, mainly the anatase phase with pyramid-like surface morphology. The X-ray photoelectron spectroscopy spectra confirmed the presence of the N2 within the TiO2 crystal lattice, resulting in a narrower band gap and in a red shift of the absorption into the visible-light region. N-doping of the TiO2 crystal lattice changed the oxidation state of Ti from Ti+4 to Ti+3, resulting in the formation of titanium oxynitride (TiOxNy) in the films. Our films displayed an enhanced ability to degrade a methyl blue solution illuminated with visible-light at wavelengths up to 500 nm. Among the samples tested, the N-TiO2 film that was deposited at a flow rate of 25 sccm N2 was found to be the most active photocatalyst.
Multi-Source Information Fusion Based on Data Driven
Authors: Zhang Xin , Yang Li , Zhang Yan
Published: November 2010

Take data driven method as theoretical basis, study multi-source information fusion technology. Using online and off-line data of the fusion system, does not rely on system's mathematical model, has avoided question about system modeling by mechanism. Uses principal component analysis method, rough set theory, Support Vector Machine(SVM) and so on, three method fusions and supplementary, through information processing and feature extraction to system's data-in, catches the most important information to lower dimensional space, realizes knowledge reduction. From data level, characteristic level, decision-making three levels realize information fusion. The example indicated that reduced computational complexity, reduced information loss in the fusion process, and enhanced the fusion accuracy.
Particle Swarm Optimization Based GM(1,1) Method on Short-Term Electricity Price Forecasting with Predicted Error Improvement
Authors: Wang Rui Qing , Wang Fu Xiong , Ji Wen Tian
Published: November 2010

Under deregulated environment, accurate electricity price forecasting is a crucial issue concerned by all market participants. Experience shows that single forecasting model is very difficult to improve the forecasting accuracy due to the complicated factors affecting electricity prices. In this paper, a particle swarm optimization based GM(1,1) method on short-term electricity price forecasting with predicted error improvement is proposed, in which the moving average method is used to process the raw data, the particle swarm optimization based GM(1,1) model is used to the processed series, and the time series analysis is used to further improve the predicted errors. The numerical example based on the historical data of the PJM market shows that the method can reflect the characteristics of electricity price better and the forecasting accuracy can be improved virtually compared with the conventional GM(1,1) model. The forecasted prices accurate enough to be used by electricity market participants to prepare their bidding strategies.
A Particle Swarm Optimization Based on Dynamic Parameter Modification
Authors: Zhang Ying Chao , Xiong Xiong , Chen Chao , Huang Xin Yi
Published: November 2010

A new particle swarm optimization based on dynamic parameter modification is proposed in this paper (Dynamic Parameter Modification Particle Swarm Optimizer, DPSO). In DPSO algorithm , is doing oscillating decay breaking through the constraint of topical linear decreasing, and the Euclidean distance and is calculated, which respectively stand for the Euclidean distances form the position of particle to the best position that the particle has passed and the best position that all the particles have passed under the time . Parameters and of topical PSO are modified dynamically based on the comparison of and in order to coordinate between global search and local search. Then find out the optimal value of Goldstein-Price function using topical PSO and the improved DPSO respectively, and the results demonstrate that compared to topical PSO, DPSO algorithm avoids falling into the local minimum and improves the search efficiency.
Design for Pellet Measurement System Based on TCD1206
Authors: Zhu Ge , Lou Li Na , Wang Xian Quan , Luo Jing
Published: November 2010

The article proposed a kind of new measuring technique suitable for pellet outer diameter --shading of measurement, using high quality laser as the light, linear CCD image sensor TCD1206 acts testing device, TCD1206 produced drive without delay by single-chip microcomputer, process pellet outer diameter signal coming from TCD1206 by floating threshold method of binary, finally the processed binary signals send back to the single-chip microcomputer, through MAX232 serial communication transfer to PC for displaying. The whole process realizes real-time detection to pellet outer diameter, and makes measurement system had higher precision.
Task-Oriented Architecture for a Humanoid Robot
Authors: Mu Yan Hua
Published: November 2010

A humanoid robot is developed to perform various kinds of tasks in human daily environments. In this paper, three advanced capabilities which are indispensable for a humanoid robot to perform tasks, namely, natural human-humanoid robot interaction based on spoken dialogue and vision, vision-based navigation in complex and dynamic environments, object grasp and manipulation with hand-eye coordination, are discussed firstly. Then, a biologically-inspired system structure for a humanoid robot is presented. Based on this system structure, a task-oriented layered architecture for a humanoid robot is proposed, and the architectures of the three advanced capabilities are presented, respectively.
Design and Research of Switched Reluctance Motor Converter Used in Electric Vehicle
Authors: Sun Jing , Wang Xin
Published: November 2010

In recent years, there has been a growing interest in switched reluctance motor when it is widely used in the field of electric vehicles for its simple structure, low cost, high reliability, wide speed range, high response speed, high operating efficiency and strong renewable braking ability. The performance and structure of the power converter will directly affect the efficiency, cost and reliability of SRM, so the reasonable design of SRM power converter is the key to increase the cost performance of the whole SRM speed control system. Based on the principle and advantages of SRM, an improved asymmetrical half-bridge structure power converter with soft-switching is proposed for SRD in the paper. The DC / DC switching mode power supply for switched reluctance motor drive system is also successfully designed based on LT1247 integrated chip. Experiment results show that the new type of power converter and the DC / DC switching mode power supply can work better on electric vehicles.
A 34 to 36 GHz Vector Modulator for Reflected Power Canceller Techniques in LFMCW Radar
Authors: Zhang Min , Xu Jun , Cheng Xin Kai
Published: November 2010

In this paper, a 34 to 36 GHz vector modulator for using in low cost and high performance RPC (Reflected Power Canceller) is presented. The key circuit consists of two push-pull (bi-phase) attenuators arranged in phase quadrature and a 3dB quadrature coupler (branch line couplers but not Lange couplers which is different from traditional circuits in Ka band) and a Wilkinson combiner, and then transition from micro-strip to waveguide using antipodal finline. To fully exploit this circuit’s capacity to generate accurate constellations at millimeter-wave frequencies, a generalized theoretical analysis of the (push-pull) vector modulator is presented. Based on the theoretical model and the measured results, the I-Q (push-pull) vector modulator promises to be a vital component for the realization of reflected power canceller in LFMCW (Linear Frequency Modulated Continuous Wave) radar.
Ranging System in Coalface Based on Linear Frequency Modulation Signal
Authors: Wei Shu Tian
Published: November 2010

Based on technology of linear frequency modulation, constructed a wireless communication network in accord with the standard of IEEE 802.15.4a, which being fitted for using in mine. By method of symmetric double-sided two-way ranging, implemented a precise ranging and locating system for mines and tested it in indoor environment, which is similar to the straight laneway of mine and coalface. Result data show that the system has good performance in anti-jamming and anti-multi-path effects of electromagnetic wave and can communicate in a distance of 100m in laneway. The ranging accuracy is 1.5m, which well meeting the need of locating for person and equipment in mine.