bluuebunny/crossref_metadata_2025 huggingface dataset:
Continuous Cooling Transformation of Overcooling Austenite and Structure Evolution of Si Steel
Authors: Li Hui , Feng Yun Li , Cang Da Qiang , Song Meng
Published: March 2013

The static continuous cooling transformation (CCT)curves of 3.15 Si-0.036 C-0.21 Mn-0.008 S-0.008 N-0.022 Al are measured on Gleeble-3500 thermal mechanical simulator, the evolution of microstructure and the tendency of hardness are investigated by optical microscope (OM) and hardness tester. The results show that there is no evident change in microstructure which mainly are ferrite and little pearlite under different cooling rates, but the transition temperature of ferrite is gradually reduced with the increase of cooling rate. When the cooling rate is increased from 0.5°C/s to 20°C/s, the ending temperatures of phase transformation are decreased by 118°C, when cooling rate reaches to 10, Widmanstatten ferrite appears. The hardness of the steel turns out gradual upward trend with the increase of cooling rate.
Transformation Behavior of Austenite Continuous Cooling of Nb-Ti Micro-Alloyed Low Carbon Steel
Authors: Bao Jun Cheng , Ma Jun Xing , Zhao Jie , Ning Bao Qun
Published: March 2013

The transformation behavior of Nb-Ti micro-alloyed low carbon steel during continuous cooling was studied trough thermomechanical simulator and metallographic analysis. The results show that the dynamic CCT diagrams shift to the left and upper compared with the static ones, the begin temperature of γ→α transformation is gradually lower with the increase of cooling rate. The high temperature deformation improves Ferrite and Pearlite transformation, also improves Bainite transformation and decreases ferrite transformation zone. The rapid cooling can obtain better obdurability mixed microstructure of Martensite and Bainite within a certain cooling rate after deformation.
Hydriding Characterization of La2Mg17-Ni Composite Materials by Mechano-Synthesis
Authors: Liu Zhuo Cheng , Ren Hui Ping , Li Yi Ming , Hu Feng , Zhao Zeng Wu , Gu Rui Chun
Published: March 2013

In order to improve the hydrogen storage performance of La2Mg17 alloy, with high energy ball-milling in argon atmosphere prepared La2Mg17-Ni composite materials, and mixed in a little NbF5. Through automatSubscript textic control Sieverts equipment tested hydrogen absorption kinetic characteristics of sample. X-ray diffraction (XRD) analyzed the microstructure of material after hydrogenated, and estimated the phase composition of hydrogenated powder material. The results showed that hydrogen storage properties of composite materials improved significantly because of the mechanical ball-milling approach, and the hydrogenated capabilities also increased dramatically with rising of temperature. Further explained the material hydriding property is largely ameliorate because of the Ni powder and NbF5 prompted amorphous or nanocrystalline particle formation, but temperature controlling the generation of new hydride phase is as well the reason of hydrogenated performance to advance.
An Improving Algorithm Based on SOM Clustering and its Applications
Authors: Yan Chen Guang , Liu Yu Jing , Fan Jin Hui
Published: March 2013

SOM (Self-organizing Map) algorithm is a clustering method basing on non-supervision condition. The paper introduces an improved algorithm based on SOM neural network clustering. It proposes SOM’s basic theory on data clustering. For SOM’s practical problems in applications, the algorithm also improved the selection of initial weights and the scope of neighborhood parameters. Finally, the simulation results in Matlab prove that the improved clustering algorithm improve the correct rate and computational efficiency of data clustering and to make the convergence speed better.
Improved Simulation of Double Integrals Based on Monte-Carlo Method
Authors: Wang Hong Tao , Li Man Zhi , Shen You Jian
Published: March 2013

The traditional method of solving double integral by Monte Carlo method is limited with the integral area, it can only be solved the double integral on the rectangular area. To address this limitation, based on the average method of Monte Carlo method,which puts forward that the uniform distribution should be combined with area of the integral region to improve algorithm, the special rectangle integral region is extended to the general integral region.In this way the simulation accuracy and computational efficiency is improved. Practical example shows that improved algorithm simplifies the calculation process, effectively reduces the computational difficulty, Improves the simulation accuracy and computational efficiency.The procedure is simple and easy to debug. The double integral calculation method is simple and effective, so this improved algorithm is more practical.
Design and Analysis of a Mechanism of Ankle Rehabilitation Robot
Authors: Zhang Shi De , Wang Qiang , Zhou Ping
Published: March 2013

This paper puts forward a new type of wearable parallel mechanism on the basis of the analysis of the human ankle motion mechanism, damage analysis and methods of rehabilitation. The mechanism can realize three DOFs rotation of ankle. And the axes of the three rotations intersect at a point. Did the position and velocity analysis using the screw theory of mechanism analysis. The singularity and dexterity of this mechanism are also analyzed. According to the simulation result, this parallel mechanism has no singular configuration or uncertainty configuration in human lower limb workspace, has good maneuverability.
Fuzzy Adaptive Nonsingular Terminal Sliding Mode Control for a Three-Links Spatial Robot
Authors: Hu Sheng Bin , Lu Wen Hua , Zhang Xing Yuan , Xu Hai Rong , Cao Da Min
Published: March 2013

To achieve high performance tracing control of the three-links spatial robot, a nonsingular terminal fuzzy sliding mode control method is proposed in this paper. Firstly, the control method can efficiently avoid the singularity of the generally terminal sliding mode controller through designing nonsingular terminal sliding mode surface. Secondly, to diminish the chattering in the control input, a fuzzy controller is designed to adjust the gain of nonsingular terminal sliding mode controller according to the normal of nonsingular terminal sliding mode surface. The stability of the control scheme is verified by using Lyapunov theory. The proposed controller is then applied to the control of a three-links spatial robot. Simulation results show the validity of the proposed control scheme.
Numerical Research about Drag-Reduction Characteristic of Riblet Structure on Aerofoil Blade of Centrifugal Fan
Authors: Wang Song Ling , Rong Rui , Hao Xiao Fei
Published: March 2013

The drag reduction characteristics of riblet structure on aerofoil blade of centrifugal fan were numerically simulated with Fluent. Riblet structure still has good drag reduction effect on the surface of aerofoil blade. The best drag reduction effect has been gotten with appropriate riblet structure size, with the greatest drag reduction efficiency of 9.65%. And under the design flow of the fan, the drag can be reduced by 2.96%. The mean velocity of near-wall region on riblet surface has a significant increase than smooth surface. Turbulent kinetic energy and turbulent intensity are lower than smooth surface obviously, the drag reduction effect of riblet structure on aerofoil blade is verified. The present results can be used to provide a valuable reference for optimization of centrifugal fan blade modification.
Review of Research Progress in Biorobot
Authors: Wang Hui , Huai Rui Tuo , Yang Jun Qing , Su Xue Cheng
Published: March 2013

Biorobot which is also called robot animal, has become a hotspot nowadays. This paper reviews its current research and predict its application prospects.
Gaze Estimation Based on Single Camera
Authors: Zhu Bo , Zhang Peng Yun , Chi Jian Nan , Zhang Tian Xia
Published: March 2013

A new gaze tracking method used in single camera gaze tracking system is proposed. The method can be divided into human face and eye location, human features detection and gaze parameters extraction, and ELM based gaze point estimation. In face and eye location, a face detection method which combines skin color model with Adaboost method is used for fast human face detection. In eye features and gaze parameters extraction, many image processing methods are used to detect eye features such as iris center, inner eye corner and so on. And then gaze parameter which is the vector from iris center to eye corner is obtained. After above an ELM based gaze point on the screen estimation method is proposed to establish the mapping relationship between gaze parameter and gaze point. The experimental results illustrate that the method in this paper is effective to do gaze estimation in single camera gaze tracking system.
Design and Research of an Active Search and Rescue Robot Used in Ruin Interstice
Authors: Shi Xi Ming , Zhang Zhen , Chen Xiu Xia
Published: March 2013

After studying of post-earthquake environment, we develop a new kind of search and rescue robot, which can go into ruin interstices to implement rescue. Through the research of track and snake-like robot that used in searching and rescuing, we design a new kind of mechanism, which has advantages of both track and snake-like robots. This article also gives some details about the modular unit of track drive mechanism of the robot, the head turning mechanism actuated by tendon-sheath, and the control method of the robot system.
Model Reduction of Rigid-Flexible Manipulators with Experimental Validation
Authors: Chen Lin , Deng Hua
Published: March 2013

An investigation into the dynamic modeling of rigid-flexible manipulator systems based on spectral approximation methods was presented. The nonlinear dynamic equation of the rigid-flexible manipulator was established on the theory of Lagrange equation and the model was approximated with the spectral approximation method. Furthermore, an experimental platform system was set up to validate the effectiveness of the model. Simulation results of the response of the rigid-flexible manipulators were presented. Moreover, experimental validations were carried out to assess the effectiveness of the modeling approach by comparing with the simulation results. The results verified that the method is effective and feasible.
Application of CAN Bus in Modern Automobile Network System
Authors: Wang Yi , He Li Ren
Published: March 2013

As a field bus, CAN bus has been increasingly used in automotive electronic system.In this paper,a vehicle internal network architecture based on CAN bus system was introduced. Utilized the high-performance PIC18F258 MCU with CAN controller to design a CAN bus interface circuit, meanwhile shown the structure of major hardware and software design processes. The circuit has several advantages such as simple hardware design, high reliability,and powerful real-time.
Global and Local Path Planning on Robotic Wheelchair Based on Multi-Sensor Information Fusion
Authors: Fang Wang , Zhang Jian Guo , Song Hai Yan
Published: March 2013

This paper represented the method of obstacle avoidance for robotic wheelchair based on the multi-sensor information fusion. The installing angle of sensor was analyzed. Path planning was discussed in global or local environment separately. Dijkstra algorithm and fuzzy control algorithm were proposed to solve the problem of global and local path tracking. The simulation had provided an easy-used method for designing and validating the algorithms.
Research of Electro-Hydraulic Proportional Variable Displacement Piston Pump Using Fuzzy Logic Control
Authors: Fan Hai Bo , Jin Jian , Xing Ke Li
Published: March 2013

Electro-hydraulic proportional variable displacement piston pump is widely used in various fields because of energy-saving, low noise and advanced control technology. In this study, a fuzzy logic controller was used in a flow and pressure integrated controlled electro-hydraulic proportional variable displacement piston pump’s control system. The simulation model of variable displacement pump was built based on AMESim, and the model of control system with fuzzy logic controlled was built in Simulink. This study research the characteristics of electro-hydraulic proportional variable displacement piston pump’s control system through co-simulation.
Parameter Optimization of Thermal Error of NC Machine Based on Matlab
Authors: Zhao Chang Long , Guan Xue Song
Published: March 2013

The thermal error of main-shaft is the main factor that effects the machining quality and efficiency of NC machine. The modeling of thermal error of the main-shaft is significant. There are a lot of methods to build the model. The method of least squares support vector machine has good effect on non-linear system and make the model have good decision-making ability. In this paper, the temperature field of the main-shaft is sampled and the important parameter and is optimized in a wider range when modeling with the least squares support vector machine by using grid searching method on the Matlab platform. In this way, the modeling accuracy is improved effectively.
Research on the Interpolation Processing Based on the Acceleration Control Information
Authors: Song Fang , Hao Shuang Hui , Guo Zhi Bo , Guo Zhi Tao
Published: March 2013

In order to further improve the accuracy of the trajectory control and reduce the contour error, a novel method is proposed. This method uses a slight arc segment to approximate the trace curve between discrete points based on the acceleration information. The acceleration information of every discrete point will be provided to the servo control system of each axis to execute the acceleration feed forward control, thus realize the arc connection between the interpolation points. Finally, the simulation experiment results verify the effectiveness of the proposed algorithm.
Automated Layer Aligning and Stacking System for the Fully Dense Freeform Fabrication Process
Authors: Asiabanpour Bahram , Chen He Ping
Published: March 2013

The existing building metallic prototypes from metal sheets or foil slices methods suffer some limitations, such as difficulty in making complex features and long process cycle time. The Fully Dense Freeform Fabrication (FDFF) process is a new freeform fabrication method capable of building fully dense prototypes from practically any materials in a layer-by-layer basis, which overcomes the limitations of other methods. However, layer aligning and stacking are still very challenging because aligning and stacking all thin layers takes a lot of time and effort. Therefore, an automated layer aligning and stacking system is proposed and implemented in this paper. A vision system together with a robotics system are developed to automate the FDFF process. Experiments were performed and the results demonstrate that the automated FDFF process can fundamentally improve the concept of rapid prototyping by enabling producing fully dense parts with any complexity and any solid materials for the sizes from micro scale to several feet in a very fast and low cost approach.
Modeling of Dynamic Errors for a Table-Tilting Type 5-Axis Machine Tools
Authors: Zhang Yong Chao , Wu Song Lin , Zhang Jun Feng
Published: March 2013

The precision of its processes is affected by static error and dynamic error. This paper focuses on modeling about dynamic errors and proposed an algorithm of the dynamic error for Table-tilting 5-axis machine tool, which is using Homogeneous Transformation Matrix to establish the dynamic errors formula, so as to structure a model of its dynamic error. Dynamic errors about rotary and linear axis of a 5-axis machining center with tilting rotary table type are defined. At last, we performed the operation and measurement of Table-tilting 5-axis machine, in order to compare and verify the dynamic errors, and to use as adjusting the Table-tilting 5-axis machine tool, and improve the precision of its machining. The result of a synthesis example verifies the effectiveness of the proposed modeling.
The Macro Program Design and Digital Simulation of the Automatic Tool Changer for 5-Axis Machine
Authors: Xiong Zhuang , Yin Yan Chao , Yan Yi Long
Published: March 2013

In order to reduce non-cutting time and improve machining efficiency, the macro program of automatic tool changer (ATC) has been designed firstly, which was based on the macro theory and parameter settings. Then, the machining simulation environment of the automatic tool changing was established, based on which, the digital simulation of automatic tool changing process is realized by mapping of the practical changing tool process in the virtual machining environment. The simulation results effectively verify and improve the macro program performance.
Development of Post Processor for Five-Axis Machine of Non-Orthogonal Head Tilting Type
Authors: Son Hwang Jin , Cho Young Tae , Jung Yoon Gyo
Published: March 2013

A five-axis machine can be developed with various mechanisms as it simply adds two axes to three coordinate axes. Therefore, five-axis machining utilizes post-processor for conversion to NC code, which the five-axis machine can read, with tool path CL data created by CAM depending on the mechanism of each device. This study introduces a post-processor program that tilts from axis B, of which the head is inclined at about 45 degrees, moves straight toward the X and Z axes, rotates the table from C, and then moves along axis Y. The post-processor mechanism was applied to the program after calculating the rotation angles and tilting angles using inverse kinematics and mapping the part coordinate system by machine coordinate system. Then, to evaluate the established post processor formula, it was verified twice. First, a tool path that was identical to that created by a commercial post-processor program, Post Works, was post-processed and comparably reviewed to, verify the performance of the proposed method. Secondly, a test specimen was manufactured by creating NC data from the developed post processor program. After manufacturing the test specimen, the compatibility was verified, suggesting the possibility to commercialize the five-axis machine and the post -processor program.
Research on Tourist City Traffic Signal Intelligent Control Method
Authors: Liu Ping Zeng , Chang Yu Chao , Deng Zhen Min , Zhang Yun Fan , Wang Li
Published: March 2013

A traffic lights control method was proposed based on the phase interrupt control strategy. The algorithm refers to computer interrupt event handling method and determines whether to extend passage time according to the phase green light time when the interrupt is triggered by traffic flow. Based on vehicle traffic ability function and average vehicle delay function, the method was optimized. And simulation study was carried out on a planar orthogonal crossroads in Taian city of Shandong province in china. Simulation results confirmed that the effectiveness of the method and the average vehicle delay time was reduced 24.9%. This indicates that the method can effectively improve transport efficiency, which has a very important significance for tourism city to relieve the traffic pressure.
The Application of DCS in the Drum Water Level Control
Authors: Liang Wei Ping , Zhang Jia Ju
Published: March 2013

This paper introduces the thermal power plant boiler drum water level control, using cascade three-impulse control strategy, based on the distributed control system to realize the control of the drum water level. This paper analyzes the main variables affect the drum water level, the dynamic characteristics of the drum water level, the principle of the cascade three-impulse control strategy, brief introduction to the main function of the main and auxiliary loops, The basic idea and implementation methods of distributed control system and draw a simple logic diagram.
Polyvinyl Chloride (PVC) Production Plant Control System Optimization
Authors: Cheng Huan Xin , Miao Zhuo Lin , Li Peng
Published: March 2013

In the industrial production of polyvinyl chloride (PVC), large number of loops and low self-control rate can cause a few problems, such as poor loop tuning of PID regulator parameters, poor maneuverability of automation, big device fluctuations, lots of alarms as well as the lack of stability. Thus, control procedure optimizing and PID algorithm are adopted to control the system. Firstly, operating point without automation before is to put into automation now. It aims to improve the operational stability and reach the device self-control rate to more than 95%. Then, advanced control theory is adopted to optimize the controller form and tuning PID parameters to achieve fast response, strong anti-jamming, device control stability effect.
Application of Load Sensing Technology in New Type of Steel Arch Installing Machine
Authors: Xu Li Ping , Zhan Chen Fei , Ren De Zhi
Published: March 2013

Because ordinary hydraulic system exists multiple fault, power waste and hard controlling in actuators due to the complexity of actuators and variability of load. A new hydraulic system based on the load sensing technology is designed for the new type steel arch installing machine. The results of the simulation for forearm loop based on AMESim show that the designed hydraulic system is energy-efficient and load sensing function is effectively achieved, the actuator control performance is well.
Predictive Control of Switching System for DC/AC Converter
Authors: Wu Gang , Bao Zhe Jing , Wu Ting , Yan Wen Jun
Published: March 2013

In this paper the predictive control of switching system is introduced to the DC/AC converter. Our aim is to control the output power of converter closer to the reference. By considering the working status of DC/AC converter is actually switched among several definite subsystems, the switching system model of DC/AC converter is constructed. The tracking problem of converter output power can be changed to be that of its three-phase output currents. Based on the switching system model of converter, the three-phase output currents of those subsystems are predicted and the switching command is determined by examining the discrepancies between the three-phase predictive currents corresponding to each subsystem and the reference ones. Simulations demonstrate that our control scheme for DC/AC converter connected with ultra-capacitor has great advantages in output power tracking and sinusoidal output current waveforms.
Research and Optimization for Transverse Thickness Difference Control Strategy of UCMW Cold Tandem Mill
Authors: Wang Lu Bing , Yan Lin Jing , He An Rui , Li Guang Lin
Published: March 2013

Transverse thickness difference is a key index of plate shape for electrical steel product. This paper analyzed and optimized original automatic control system for transverse thickness difference of MH UCMW rolling mill. By adding Multi-points assessment in edge drop region, steep drop width is reduced, and system yield is improved; By optimizing rigid control strategy into flexible control strategy, using three stands control instead of two stands, and rationally allocating each stand load for edge drop control, transverse thickness difference quality level is improved, and rolling stability is promoted. Based on control system optimization, control ability for transverse thickness difference is significantly improved, head-tail ultra gauge length is shortened from 110 meter to 50 meter, and transverse thickness difference high-quality ratio is improved from 35% to 87%.
Arbitrary Waveform Generator Based on GaAs FET and Tapered Micro-Strip Line
Authors: Lin Ping , Liu Bai Yu , Gou Yong Sheng , Bai Yong Lin , Wang Bo , Zhao Xue Qing
Published: March 2013

In order to improve the output power of laser pulse in the inertia confinement fusion experiment, an arbitrary waveform generator is fabricated to shape the laser pulse. The arbitrary waveform generator is based on the impedance tapered micro-strip line technology and GaAs Field Effect Transistor set which has a good ability of generating voltage-controlled current. With the impedance tapered micro-strip line technology, the arbitrary waveform generator generates shaping electrical pulse with duration less than 10 ns, 330 ps time-domain adjustment. We use the shaping electrical pulse to modulate semiconductor laser which has the characteristic of direct modulate, the experiment results show the shaped laser pulse is obtained based on the shaping electrical pulse.
Bottleneck Mitigation of Assembly Lines with Memetic Algorithms
Authors: Liu Wen Ping , Wang Meng , Zhu Zhen Jie
Published: March 2013

Bottlenecks heavily affect the material flow and workloads of assembly lines, and eventually constrain the productivity. The most economic way to eliminate or mitigate bottlenecks of a specific assembly line is to smooth the workloads at different stations towards a balanced system. This paper formulates a smoothness index, by which to measure the uniformity of workloads at serially located stations. To minimize the smoothness index, a Memetic algorithm is adopted and coding/decoding methods of the algorithm are devised. The effectiveness of the proposed algorithm is validated by a comparison with computing results of Package Lingo 11.0.
The Resource Conflicts Detecting Method of Virtual Manufacturing Cell Based on Bayesian Network
Authors: Han Wen Min , Bu Xiang Zun , Chen Juan
Published: March 2013

Resource conflicts have new characteristics under the condition of virtual manufacturing cell. The existing model tools have a shortage in solving the resource conflict detection of virtual cell. So this paper puts forward a new method of resource conflicts detection on virtual manufacturing cell. According to the resource plan of productive task, Bayesian network model of virtual manufacturing cell was established. We raised the model of resource conflicts occurring on the basis of the Bayesian network. We detected the position and quantity of the resource conflicts in the Bayesian network in accordance with the model of resource conflicts occurring. Then we used an example to verify this method. The results show that this method is feasible and effective. The method lays the foundation of the specific resolution of the resource conflicts on virtual cell.
An Automatic Product Assembly Method Based on Assembly Feature Pair
Authors: Sun Yuan Liang , Li Yuan , Zhang Jie , Xu Zhi Jia
Published: March 2013

Assembly design and simulation plays a very important role among all stages of product design, and is the fundamental guarantee to improve the assembly performance of product. However, in current assembly design and simulation process, the detailed assembly path and the assembly position and orientation of parts are all needed to be defined through human-computer interaction. Especially when a product contains quantities of parts, there will be so many human-computer interactions to do, which can greatly increase the burden of designers. For this reason, the purpose of this paper is to study an automatic assembly method to reduce the complexity in the definition of assembly design and simulation. Firstly, we studied the intrinsic relationship between the Assembly Feature Pair (AFP) and assembly behaviors of a part, and it’s our belief that the AFP pattern of one part determines its assembly behaviors. And then we proposed an automatic product assembly method based on AFP, by which one only need to enter or specify certain parameters to achieve the assembly design and simulation of a part. Finally, a simple toolset developed based on CATIA and DELMIA using this method was introduced, and an example was given to verify the validity of this approach.
Prediction of Cutting Tool Life Based on ACO-BP Meural Network
Authors: Wang Tie Liu , Chen Xian Ming , Chen Shui Bin
Published: March 2013

For predicting the tool life combine the ant colony optimization(ACO) with the back propagation (BP) neural networks, use the the ACO to train BP neural network, build the prediction model based ACO-BP neural network. Some disadvantages are overcame in the BP algorithm, such as the low convergence speed, easily falling into local minimum point and weak global search capablity in the prediction process. Satisfies the requirement of global search capability and the robustness of the model. The experiment results show the prediction model has high precision in predicting the tool life. By the prediction model can provide a reasonable basis for planing production schedule and cutting tool requirement, calculating the cost, selecting the machining parameters,etc.
Fault Reasoning and Diagnosis Technology Based on ACO & CBR
Authors: Zhao Yang , Xiong Yun , Wang Xin Qing , Li Hong Wei , Zhu Hui Jie
Published: March 2013

Due to the inaccuracy of reasoning conclusion because of the discrepancy among the cases ontology in the process of case reuse or revision, a new reasoning method for fault diagnosis based on ACO and CBR is proposed by this paper. This method uses CBR to reason new cases firstly, if it can match successfully brings to the corresponding results, else use ACO to reason the cases which have not matching in the case-library. As a result, the accuracy and efficiency of fault diagnosis are improved greatly and use the characteristic of the strong memory in CBR to repair the shortcoming of ACO reasoning method that can improve it capability. The method adopting fault cause-symptom matrix to describe the cases and case-library has many good characteristics of conciseness, convenience and extendibility.
Influences of Working Parameters on Performance of Elastic-Friction Seed-Metering Device
Authors: Sun Jian Guo , Liu Shu Guang
Published: March 2013

The influences of the two working parameters of elastic-friction seed-metering device—motion velocity (v) and rotate velocity (n) on CV of seeding uniformity in the lines (v1), CV of seeding consistency between the lines (v2) and CV of seeding rate stability (V) are analyzed by two factors quadratic orthogonal rotational combination experimental design. With DPS 9.50 data processing system these mathematical models are set up. There is a very significant regression between v, n and v1, v2, V and all factors are significantly at level α=1%. The results show range of v1 is at 3.0996%-5.8912%, range of v2 at 4.1105%-5.9297%, range of V at 1.6274%-2.8504% in the values range of the two factors.
Application of Improved B+-Trees Algorithm in Embedded Database
Authors: Mao Jian Pin , Liu Cai Ping , Mao Jian Xu
Published: March 2013

B+-trees algorithm is a high efficient and common-used data organization algorithm in database system. But B+-trees algorithm has a disadvantage of low storage utilization. This disadvantage has a bad effect especially on embedded database systems, which have limit storage. To overcome this drawback, this paper presents an improved B+-trees algorithm, and applies it to an embedded database-Berkeley DB. Experimental results show that the improved B+-trees algorithm can attain higher storage utilization at the expense of more execution time than the conventional B+-trees algorithm.
Search on Method of Netwok Intrusion Detection Based on Support Vector Machine with Pre-Extracting Support Vector
Authors: Yu Sheng Chen , Sun Li Min , Xue Yang , Guo Hui , Wang Xiao Ju , Mei Qun Li , Zhang Lian Jun
Published: March 2013

Intrusion detection algorithm based on support vector machine with pre-extracting support vector is proposed which combines the center distance ratio and classification algorithm. Given proper thresholds, we can use the support vector as a substitute for the training examples. Then the scale of dataset is decreased and the performance of support vector machine is improved in the detection rate and the training time. The experiment result has shown that the intrusion detection system(IDS) based on support vector machine with pre-extracting support needs less training time under the same detection performance condition.
A Novel Method for Mining the Advisor-Student Relationships in Academic Social Network
Authors: Wang Yue , Liu Xiao Lin
Published: March 2013

Academic social network contains abundant knowledge about relationships among people or entities. Building the relationship between different entities correctly can help providing comprehensive services in the scientific research field. Unfortunately, some relationships, such as advisor-student relationship, are often hidden in academic social network, which are not explicitly categorized. Discovery of these relationships can benefit many valuable applications such as research community analysis. In this paper, a novel method based on Markov Logic Network is proposed to mine the advisor-student relationship in academic social network. Experimental results show that the proposed approach can find the advisor-student relationship effectively.
Influence of Damage of Suspenders on Static Performances of Steel-Box Stacked Arch Bridge
Authors: Zhang Kun , Lei Jun Qing , Cao Shan Shan
Published: March 2013

Suspender is an important component of through arch bridge which transfers loads from bridge deck to arch rib, and its mechanical property is closely related to the safety of whole bridge. When suspender is damaged, the change of its tension will lead to internal force redistributions of the arch bridge. In this thesis, taken Xinkai River Bridge of Harbin-Dalian high-speed railway as a case study, which is the first long-span steel-box stacked arch bridge for high-speed railway in China, a finite element model is established by using the MIDAS/Civil software. By analyzing the calculation results and comparing static performances under non-destructive conditions, the influence of damage of suspenders on steel-box stacked arch bridge is summarized, which can provide reference data for health evaluation of the bridge during service period.
The Error Analysis of GPS-RTK Construction Stakeout
Authors: Xu Jin Hong , Yang Ruo Li , Zhang Bei Bei
Published: March 2013

GPS-RTK technology with real-time , high positioning accuracy and easy to operate features, is widely used in the filed of surveying and mapping; With the improvement of RTK technology, the initialize speed , results accuracy and reliability of the RTK survey will be increasingly higher.Due to the impact of the satellite signal and the external environment, the deviation of the RTK positioning and the lack of necessary checking conditions in RTK surveying, this paper will do some researches and analyses about RTK positioning error to serve the Survey and Mapping Engineering better.
The Application of Pressure Grouting Technology in Foundation Treatment of Clarifiers
Authors: Qian Tong Hui , Zhao Gao Wen , Yuan Yin , Wu Hao
Published: March 2013

Basing on diffusion radius formula of pressure grouting which was deduced by the Darcy's law in groundwater dynamics and connecting with engineering example, this article introduces the construction parameters and analyzes results of pressure grouting. Several methods including Re-grouting, coring method and SPT were used in the effect detection, it turns out that the slurry owns a consolidation and filling effect around the grouting holes when it is injected into soil. This effect can reduce the porosity and moisture content of soil, then the foundation bearing capacity is improved and the settlement can be reduced. Practice has proved the feasibility of pressure grouting in repairing soft foundation of important buildings, so it is a valuable reference to foundation reinforcement under similar conditions.
Distinction and Relationship between Plant Protection and Engineering Support for Expressway Slope
Authors: Gao Jun Zhao , Zhao Jun Hui
Published: March 2013

For expressway slope protection more and more people advocate ecological idea presently and use plant protection mainly, but great differences between plant protection and engineering support are exist, especially protection effect is remain to be verified by time. Combined with plant protection of expressway slope in henan province, we found that great common grounds and problems and some suggestions have been proposed.
Response Surface Methodology for Optimization of the Ultrasonic Extraction of Polysaccharides from Melaleuca ahemifolia
Authors: Xiao Yue , Yu He Ping , Lin Li Jing
Published: March 2013

An ultrasonic-assisted procedure for the extraction of polysaccharides from Melaleuca ahemifolia was investigated using response surface methodology (RSM). A Box–Behnken design (BBD) was employed to investigate the effects of extraction time, ratio of water to raw material and ultrasonic power on the extraction yield of polysaccharides.The statistical analysis indicated that three variables and the quadratic terms had significant effects on the yield (p＜0.05). The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and further analyzed by appropriate statistical methods (ANOVA). The optimum extraction conditions were as follows: extraction time of 21 min, ratio of water to raw material of 40, ultrasonic power of 170 W. Under the optimization conditions, the experimental yield of polysaccharides was 6.194%, which was in good agreement with the predicted value (6.288%).
Research on Mass of Leaves Estimation
Authors: Wang Hong , Zhou Li Hui
Published: March 2013

This paper establishes correlation analysis model to calculate the profile of trees and the distribution of leaves, and estimate mass of leaves. The establishment of the proposed model makes an in-depth analysis of sample data and determines the interrelationship of all relevant factor which make it easy to operate and applicable to all types of trees. If there are sufficient types of trees, more factors can be considered to make the model more accurate.
A Multi-Agent System for Remanufacturing of End-of-Life Products
Authors: Shi Xiao Qiang , Huang Li Jiang , Wang Hui
Published: March 2013

Efficient remanufacturing of end-of-life (EOL) products is crucial for environment friendly production. Disassembly is part of the remanufacturing and it is meant to obtain components and materials from end-of-life products. An essential performance objective of a disassembly process is the benefits it brings, that is the revenue brought by the retrieved parts and material, diminished by the cost of their retrieval operations. A decision must be taken to balance the disassembly production system. In this paper, a multi-agent system (MAS) is presented to optimize the remanufacturing process of EOL products. The MAS offers a synthesized information platform for various tasks, e.g. product/manufacturing information processing, disassembly sequencing, solution performance assessing, and processes scheduling. On one hand, the MAS could retrieve much information related design/manufacturing resources, by multi-level data obtaining mechanism. On the other hand, this information will make the prospective integrated environment for profitable remanufacturing system planning more feasible.
Research of FFE in TRIZ Theory
Authors: Tang Chao Lan , Yang Xian
Published: March 2013

In TRIZ theory, Fuzzy Front End (FFE) is the stage of forming idea in New Product Development (NPD) process. A method combining UED and Kano model is proposed and applied to FFE of TRIZ theory. User study theory and methods in User-Experience Design (UED) are used to collecting user demand for new product, and Kano model is used to analyze the priority of user demands and translate user demands into function demands. The design of mobile application is illustrated as an example, this method is proved to be a perfect solution to form the design idea through analysis of user demand in FFE stage of new product development.
Closed-Form Optimal Tolerance for Minimum Manufacturing Cost and Quality Loss Cost
Authors: Liu Shao Gang , Jin Qiu
Published: March 2013

Tolerance allocation have significant influence on the manufacturing cost and quality loss cost. In order to obtain optimal tolerance, Lagrange multiplier method is used to minimize the summation of manufacturing cost and quality loss cost subject to constraints on product functional requirement. The reciprocal power cost-tolerance model with different functional constraints is considered, and closed-form optimal tolerances are obtained. Using the model proposed in this paper, the optimal tolerance can be obtained quickly and accurately. One example is used to illustrate the method proposed in this paper.
Research and Implementation of Remote Virtual Teaching Platform on VRML-Java
Authors: Zhou Shan , Li You Da
Published: March 2013

Network virtual technology can provide solutions for experimental courses. It is low-cost, function congruent advantages, and the teaching cross-regional requirements. Virtual teaching platform can be real-time interaction between teachers and students. VRML-Java synchronized platform is designed in the paper, we initially realized the online substation system, and it includes the control and protection system, monitoring system, event log and fault recorder system, same period closing system. The virtual platform solves some challenges in the prototype experiment, increases knowledge and deep understanding to students, it gets better teaching results.
Curriculum Reform Practice Based on PBL Teaching Mode
Authors: He Cheng Long
Published: March 2013

PBL model is not only refers to problem-based learning but also refers to project-based learning. In this mode, teacher is an active guider and the students are self-learning teaching in groups around the problems. The specialized fundamental curriculum, Building Architecture, is practiced as an example. This article extracts three Projects and forty Problems. The theory teaching and course design are taken a comprehensive view of the situation as a whole. This curriculum reform practice has proved that PBL mode can raise students' the ability to analyze and solve problems, and it is an important way to carry out the Excellent Plan in the course teaching.
Platform Construction: A New Model for the University-Enterprise Cooperation
Authors: He Cheng Long
Published: March 2013

A new model of university-enterprise cooperation is explored. As a case, the building energy saving test qualification is declared jointly by the university and enterprise. The key making the success of cooperation is fully guaranteeing the core benefit of both parties. Using the pattern of instrument and equipment and the teacher's professional technical knowledge as the shares and enterprise is responsible for business and market to develop. It can fully arouse the enthusiasm of both university and enterprise. In the process of cooperation, the discipline and team construction level of the university has been improved, and the efficiency of enterprises has been increased. This will become the outward service platform and the resources sharing are realized.
Analysis of Turning Process Relative to Machining Technician's Skills
Authors: Yamaguchi Kenji , Yamaguchi Mitsugu , Kondo Yasuo , Sakamoto Satoshi
Published: March 2013

The quality of machining and assembling parts significantly depends on the skills of the technician. To achieve high-precision machining, a skilled technician carefully considers various factors and applies suitable machining methods and conditions. Therefore, to correctly evaluate the machining cost-precision tradeoffs of their designs, mechanical engineers should have intimate knowledge of machining methods and techniques. Mechanical engineers should know how machining technicians analyze blueprints and compile machining procedures. In Japan, many skilled technicians have been retiring in recent years—known as the “Year 2007 Problem”—and the shortage of technicians and downfall in the education of practical engineers have become a serious issue. In this study, to develop effective educational methods for apprentice or low-skilled technicians and engineers, we experimentally investigated the decision-making processes of highly skilled turning technicians before and during machining. We found that highly skilled technicians focus on the function and tolerance of the parts, whereas apprentice technicians tend to focus on the ease of machining.
CAD Compositive Capability Cultivation of College Students in Engineering Practice
Authors: Cao Yan , Yao Hui , Bai Yu , Fang Zhou
Published: March 2013

How to improve students’ CAD compositive capability at their collegial stage is a very important problem. However, it is hard for colleges and universities to afford the environment that is completely oriented to engineering practice and to provide various training opportunities for the students. Based on the research and exploration in the past years, research projects are used to drive teaching innovation in the paper. Research contents, objective, problems to be solved and approach adopted are presented. Research scheme and guarantee measures are also explained. Taking the development of Common Rolling Bearing Digital Three-Dimensional Model Library for example, the approach is discussed in detail.
A Brief Talk on the Use of “Task-Oriented” Teaching in Military Academies
Authors: Xu Jia Xin , Qiu Feng , Wei Yan , Wang Yong Chao
Published: March 2013

In military academies, “task-oriented” teaching way should be put into use to make teaching goals well achieved. In this paper, from discussing the connotation of “task-oriented” teaching way as the starting point, the current implement of this kind teaching method in military academies is fully analyzed and some existing problems are pointed out. Finally, the corresponding countermeasures as well as the key points requiring attention are also suggested.
Discussion of the Key Factors in Oil Spill Risk Prevention in Offshore Oilfield Development
Authors: Li Xue Fei , Yang Yan Gang
Published: March 2013

Water injection was a widely used method for oil exploration in China. The defects of water injection process，inject water quality exceed standard, Unreasonable of injection-production ratio and ,invalid of well control measures, during the water flooding process，may lead to These factors may lead to the occurrence of geological oil spill accident. This paper introduced and discussed these key factors which may lead to oil spill accident, in oil field development processes, for risk prevention and environmental protection in water flooding process.
Effectiveness of ISO 14000 Environmental Management Systems in Malaysian Manufacturing Industries
Authors: Jayashree Sreenivasan , Marthandan Govindan , Malarvizhi Chinnasamy Agamudainambhi , Vinayan Gowrie
Published: March 2013

Malaysia ranks 54 out of the 163 countries under the Environmental Performance Index and Environmental Management System (EMS) is becoming an important requirement for the manufacturing industries and companies are obtaining the ISO14000 EMS certification. However the real benefits are not realized by manufacturing sectors. Hence this research would be addressing the need to value the environment and the critical dimensions of ISO14000 EMS leading to effective implementation thereby helping in achieving corporate sustainability and examines the mediating relationship between the dimensions and corporate sustainability by proposing a model.The research is planned as a cross-sectional survey of manufacturing firms that have obtained ISO14000 certification and will be conducted in Klang Valley of Malaysia. Questionnaire-based survey will be used to obtain information and Structural Equation Modeling will be used to analyze the data. The findings will generate an effective EMS in line with the national agenda and will generate new ideas and knowledge by identifying the problems and giving innovative solution helping the Malaysian manufacturing industries to contribute positively towards valuing the environment endowment.
Review on Foreign Study of Corporate Bond Spread
Authors: Huang Jie Min , Wang Su Sheng , Xu Jing Xia , Lan Zhao Hua
Published: March 2013

Foreign literatures are mainly about analyst forecast dispersion, liquidity risk, equity market volatility, default risk, taxes, credit risk, and the interaction of credit risk and default risk and other factors that influence bond spread. The literatures including the research on the impact of equity market index, but little literatures refer to the impact of bond complex index on bond spread. There are different opinions about the impact of systemic risk on bond spread