bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Selecting Public Investment Project Based on a Decision Support System
Authors: Zhao Hui , Chen Li Ming
Published: April 2011

The paper presents a decision support system for selecting public investment project. Based on principal component analysis（PCA）and BP (Back Propagation, BP) neural network, and, with the help of software R, A decision support system for selecting public investment project is developed in this study. A case is used to demonstrate the application of this system.
The Study on Electrocatalysis Properties of Pt / Co Coated Graphite Electrode
Authors: Lou Bai Yang , Li Pei Hua , Li Xiao
Published: April 2011

Direct methanol fuel cell (DMFC) is one of the ideal powers of low-power portable electrical devices, witch is cheap, safe, easy to store and rich source of fuel, and is more and more attentive and researched in recent years. In this paper, graphite electrode samples were coated by chemical plating Co and then by vacuum ion plating Pt. The microstructure of samples were observed by scanning electron microscope SEM and X-ray fluorescence spectrometry to analyze XRF then determined the surface composition of graphite electrode. The electrocatalysis properties of graphite electrodes were studied by electrochemical impedance spectra (EIS), cyclic voltammeter (CV) and linear sweep voltammeter (LSV). The results show that electrocatalysis properties of methanol on the electrode was stronger as the chemical plating time extended and methanol concentration increase if the parameters of the plating Pt in a vacuum ion plating process was unchanged, and Co Chemical Plating time was shouter than 120s.
The Evaluation Model of the Hydropower Project Financing Risk Based on AHP-RS and RBF Neural Network
Authors: Zhao Hui , Chen Li Ming
Published: April 2011

A evaluation model based on the integration of analytic hierarchy process (AHP)-rough set theory (RS) and radial basic function (RBF) neural network is put forward for grasping the hydropower project financing risk. Firstly, the evaluation indicator system is constructed by AHP, then the evaluation indicators are discretized by RS neural network. And then, RBF neural network is used to evaluate the hydropower project financing risk. In order to grasp this evaluation model better, finally, the paper provides an example to demonstrate the application of this evaluation model.
Secure Range-Dependent Localization in Wireless Sensor Networks
Authors: Zhang Jia , Zhang Hai Yan , Lv Jin Na , Liu Yan Chang
Published: April 2011

In many applications of wireless sensor network (WSN), it is essential to ensure that sensors can determine their location, even in the presence of malicious adversaries. However, almost all the localization algorithms need the location information of reference nodes to locate the unknown nodes. When the location information is tempered by the attacks, the accuracy of these algorithms will degrade badly. We present a novel mechanism for secure localization. The mechanism aims to filter out malicious reference signals on the basis of the normal distribution trait among multiple reference signals. This will ensure each node to obtain correct information about its position in the presence of attackers. In this paper, a simulation circumstance which might be attacked is constructed to compare the improved algorithm with original one. The experiment results demonstrate that the proposed mechanism can effectively survive malicious attacks.
Assembly and Motion Simulation of Turntable of Drilling Rig Based on SolidWorks
Authors: Wang Jiang Ping , Shang Qi , Bao Ze Fu
Published: April 2011

Three-dimensional solid model of a turntable of a drilling rig is built utilizing the modeling functions of an engineering software SolidWorks. The virtual assembly for every components of the turntable is accomplished with the given assembly sequence in SolidWorks environment. The motion simulation and animation of simulation processes for the turntable under given conditions are carried out with module SOSMOSMotion of SolidWorks, and the dynamic interference check is also completed, so as to guarantee the correctness of the part design and improve the overall design efficiency, accuracy and intuitiveness. The study of assembly and motion simulation of the turntable based on SolidWorks can lay the foundation for communication and evaluation of design process as well as the manufacturing of the overall drilling rig.
Design of the Pinch Machine for Battery Grid Continuous Casting Machine Based on Link and Floating Gear Mechanism
Authors: Gao Chang Yin , Li Wan Quan
Published: April 2011

In order to realize pinch during the production of the continuous casting battery grid, using the link and floating mechanism a pinch machine is designed which can automatically adjust the roll gap and pinch tension. First the structure of the grid pinch machine is introduced ,in which adopts the dual drive roller to achieve the upper and lower pinch roll and pinch roll to rotate in accordance with the same speed, but in the opposite direction. The pinch force generates by the fiction force between the grid plate and the upper and lower pinch roller. By means of the shifting bearing and spring the position of the upper pinch roller is controlled and the roll gap adjustment mechanism adopts the link and floating gear mechanism which results in structure simplification , high reliability, Low cost, stable, long life and low noise. Finally, according to the design principle of the pinch machine, using the theoretical mechanics and the Euler formula the pinch roller tension, tension roller tension and pinch pressure are calculated. The pinch machine has made it possible to achieve the manufacturing system of continuous casting battery grid.
A Novel Emergence Model of Public Opinion Based on Small-World Network
Authors: Wu Yu , Yao Yuan , Wang Li
Published: April 2011

From the view of complex networks and emergent computation, a new emergence model of public opinion is built. It is based on small-world model, and takes Internet users as agents. Then the system parameters and realistic interactions in this model are set. Simulation results show that our model can demonstrate the whole evolution process of formed or unformed public opinion. The formation evolution of public opinion is in accordance with the real network of public opinion. We can get all kinds of public opinion forms via setting different model parameters. By comparing with the existing network model, there is an obvious advantage for the interaction rules and forms in our model, and it is realistic and reasonable. As a new model for the complex system, it can be used as one of the objects for studying the network behaviors and emergent computation.
Research of Plate Bending Mechanism and Influence Factors of R1 Mill
Authors: Zhang Xue Song
Published: April 2011

The Plate Bending phenomenon on R1 Mill is the research object in this paper. The mechanism and the influence factors of the plate bending are studied by Marc FEM Model. The restrainable measures of the plate bending are put forward and are used in the plate rolling on R1 Mill, consequently the phenomena of the plate bending are decreased infinitely.
Calculation and Spatial Distributing Simulation of Turbulence’s Kinetic Energy Entropy in Strengthen Grinding
Authors: Liang Zhong Wei , Liu Xiao Chu , Tao Jian Hua , Wang Chun
Published: April 2011

Analysis of turbulence characteristics in the confined space has important influence on strengthen grinding, and it is a main point and difficult point in the research of fluid theory. For the purpose of studying the technological parameters of strengthen grinding, and obtaining its characteristic signal group, calculation and spatial distributing simulation of turbulence’s kinetic energy entropy in the confined space is investigated. Through the meshing of flow field the turbulence particle is gotten, then with the velocity and direction of particle motion, turbulence kinetic energy under model and the given boundary conditions is calculated. After determining the kinetic energy’s three-dimensional projecting components and the energy value’s occurrence probability, the integrating process in the flow field’s effective space is conducted then a computing formula of kinetic energy entropy is deduced. In experiment the turbulence caused by strengthen grinding is used as an example, the kinetic energy entropy is calculated and revised in the whole flow field; and the computer simulating of entropy’s spatial distribution is conducted in Fluent 6.2.23 environment. Thus the influence mechanism and relationship between turbulence kinetic energy entropy’s calculation and its spatial distributing simulation are established, and the technology reference and research idea for turbulence monitoring in strengthen grinding are also be provided.
Study of the Torsional Effect of a Rectangular Quartz Disc
Authors: Gao Chang Yin , Li Wan Quan
Published: April 2011

The torsional effect of a rectangular piezoelectric quartz is studied in the article. Using the anisotropic elasticity and Maxwell electromagnetic theory, the stress field and electrostatic field is founded, and then by the Finite Element Method the distribution of the electric field in the piezoelectric body is obtained. Based on theoretical analysis of the bound charge distribution, the measuring electrodes are effectively disposed on the surfaces of the piezoelectric wafers. The theoretical and experimental results show that the measurement charge is linear with the torque. The research will provide the basis for the torque measuring technique.
Research on Open and Close Characteristics of Passive Shuttle-Type Anti-Water-Attack Check Valve
Authors: Xiang Bei Ping , Yin Guo Fu , Zeng Xiang Wei , Zang Hong Bin
Published: April 2011

Water-attack is very harmful to pressure pipeline system security. Passive shuttle-type anti-water-attack check valve can adjust its open and close time by hydraulic damper, and cushion the rapid change of liquid momentum in order to protect the pumps and pipelines. The structure and working principle of this passive check valve are introduced, and the dynamics model is set up. The opening and closing characteristics of the model is analyzed, and simulation comparison is done between the flow field and pressure change laws of shuttle-type check valve and those of swing check valve. The simulation result shows that the hydraulic damper works very well, the flow field of passive shuttle-type check valve is symmetrical, the forces acting on the shuttle is balanceable, and shuttle-type check valves can replace swing check valves in many fields.
Microstructure Analysis of Concrete Exposed to Acidic Solution
Authors: Luan H.Y. , Fan Ying Fang , Zhang Shao Yang
Published: April 2011

Concrete deteriorated severely in the acid deposit environment. To discover the damage mechanism of the material, changes of microstructure of concrete samples exposed to the acidic solution were executed. A batch of cubic concrete samples with the dimension of 10×10×10mm3 was prepared. Acidic solution with pH level of 2.5 was deposed by the mixture of sulfuric and nitric acid solution in the laboratory. Mercury intrusion test, SEM/EDS analyses were performed on the samples exposed to the acidic solution for a certain periods. Pore structure and porosity ratio of the concrete samples were obtained. Microstructure, chemical compounds, elemental distribution in the samples exposed to the acidic solution for various periods are achieved. Development of the micro characteristics of concrete with exposure time is discussed.
Real-Time Ocean Water Animation in Cartoon Style
Authors: Fang Jian Wen , Yu Jin Hui , Han Shuang Xia , Wang Peng
Published: April 2011

This paper presents a model for automatically generating 3D cartoon ocean water animations in real-time. The dynamic ocean water surface model is modeled by a spectral method. The cartoon rendering process is implemented by multipass on GPU: First, we code normal of ocean model and generate normal map. Next, we extract discontinuities from normal map and smooth it into edge map. Finally we combine the edge map with cartoon shading based on a projective texture mapping. Some experimental results demonstrate the prettiness and efficiency of the presented model.
Experimental Study on LiNO3-NH3 Diffusion-Absorption Refrigeration System
Authors: Wang Han Dong
Published: April 2011

In order to utilize solar energy and industry waste heat to reduce electricity consumption in heating, ventilating, air conditioning and refrigerating (HVAC&R) engineering, the authors developed a new style diffusion-absorption refrigeration (DAR) system. It can be driven by heat sources with low temperature, and in which LiNO3-NH3-He is used as working fluids and a spray absorber with a solution cooler is designed to enhance the mass and heat transfer, respectively. What presented here is about the modified experiment set and the latest experiment results. The experiments show that the system can start to operate when the temperature of heat source (hot water) reaches to 60°C and it can meet the temperature requirement of air conditioning when heat source temperature varies in the range of 70～83°C. The evaporating temperature varies from 10～-13°C at various absorbing temperatures when heat source temperature reaches the level of 83～95°C. The corresponding refrigeration capacity and coefficient of performance (COP) varies in the range of 1.90～4.22kW and 0.177～0.332, respectively. It is also found that the evaporating temperature, refrigeration capacity and COP are so sensitive to absorbing temperature rather than generating or condensing temperature that the absorbing temperature can be used to regulate the working condition and parameters of the DAR system, e.g. by means of modulating the flow rate of cooling water circulating in the solution cooler equipped to the spray absorber. Thus, in the fields with plenty of solar energy or industry waste heat, the new style DAR system can be considered as an ideal candidate for utilizing low-grade energy, saving energy and reducing emission.
An Improved CAVLC Entropy Encoder of H.264/AVC and FPGA Implementation
Authors: Guo Hui , Fu Yong Qing
Published: April 2011

Context-based Adaptive Variable Length Coding (CAVLC) as a new entropy coding algorithm has been introduced into H.264/AVC standard. Through analysing the CAVLC coding algorithm detailedly, the paper proposes an overlapping coverage storage method and a new stream merger method, and gives the specific implementation. This idea improves the structure and performance of the complex module and reduces the implementation complexity. The experimental results show that the proposed entropy encoder is correct, and the highest coding frequency of 81.70MHz can be achieved. Meanwhile all the hardware resource consumption is less than 2% of total hardware resources. The new entropy encoder achieves a better balance in system performance and resource consumption.
Numerical Simulation of Semi-Solid Die Casting Process of Magnesium Alloy
Authors: Hu Ya Ping , Hu Yong
Published: April 2011

Numerical simulation can be used to predict die filling, and hence to optimize the die design. In the study, the flow characteristics of liquid filling comparing with those of semi-solid filling were analyzed. The results indicated that the liquid filling turned out to be turbulent, while the semi-sold filling had laminar flow characteristics which could reduce the foundry defects such as gas cavity and oxidation mixture. The distribution of pressure reduced gradually in the filling direction during semi-solid filling process which would generate back pressure that was favorable for filling process.
Consider the Option Value Model on the Optimal Investment of the Recycle Economy Projects
Authors: Wang Hua , Chen Ling Ling
Published: April 2011

In this paper, We apply option game theory methods to compensate for the inherent limitations of traditional NPV, study Timing Decision of recycle economy investment in monopoly situation, in best time to invest the recycle project, not only brought a lot of cash flow, better profitability, and implemented the project cycle of production, reduce production costs. Finally ,analyze the parameters of affecting investment , which can reduce the impact on investment；And analysis the difference in critical belief value between the project investment of recycle economic and non-recycle economy. CLC：F424.7 Document code：A
Research of IRFPA Non-uniformity Real-Time Correction Based on SOPC
Authors: Li Bing , Yang Zheng Yu , Ma Bao
Published: April 2011

Non-uniformity of infrared focal plane arrays (IRFPA) decreases the quality of the infrared imaging system greatly, so it is necessary to correct non-uniformity. Now the scene-based correction is being the focus of the study at home and abroad. Firstly, researching on normalized BP artificial neural network correction method in this paper, and then building a SOPC system on Altera's Stratix II EP2S60 DSP Development Board to realize the normalized BP real-time correction non-uniformity. The simulation results show that the SOPC system would meet the requirements of real-time correction. At the same time, the other method could be better to upgrade.
Design on ZigBee Wireless Sensor Network Node
Authors: Deng Hu Bin , Zhang Lei
Published: April 2011

Wireless sensor networks(WSNs) which develop steadily and fast became the most popular technology at the beginning of the 21st century and would have a good influence on the world for a long time, but at present most of the study are mostly focus on the theory of algorithm for network topology, routing, location etc., however the real world needs real devices, and at the same time the device must meet the needs of practical applications, so, according to the various structural features of the wireless sensor networks, a new design with ZigBee protocol based on the System-on-Chip (SoC) chip of CC2430 for wireless sensor nodes is proposed. We emphasize the circuit design and the process of system initialization, we use the humidity and temperature sensor SHT10 to meet the low-power cost of the system. Finally, we tests the compact design of the node with SHT10, which has an excellent performance and stable operation with good extendibility.
Research on Random Walk Rough Matching Algorithm of Attribute Sub-Graph
Authors: Zhang Chun Ying , Guo Jing Feng , Chen Xiao
Published: April 2011

In the analysis of social network, the attribute values of an entity change constantly as time goes by and the corresponding attribute graph changes accordingly. However, the essence of the entity is invariable. The problem is how to discover essence from the change of mining frequent rough matching attribute sub-graph in an attribute graph in this paper. The problem of the attribute sub-graph rough matching is defined and described, then the random walk rough matching algorithm of attribute sub-graph is designed so that the problem of incomplete coincide attribute sub-graph rough matching would be solved. Attribute sub-graph is the expansion of the traditional sub-graph; rough matching problem is the extension of traditional sub-graph matching problem. With the help of the random walk rough matching algorithm of attribute sub-graph, more potential frequent attribute sub-graphs can be discovered, and more valuable information mined.
Optimal Investment Decision of the Recycle Economic Projects Based on Game Options
Authors: Wang Hua , Chen Ling Ling
Published: April 2011

In this paper, apply option game theory methods compensate for the inherent limitations of traditional NPV, derived the optimal preempt invest cycle economic projects critical value and the expression of the value function in under incomplete information oligopoly competition, give investors the preempt investment strategy rules, and analyze the relationship between critical value of investment and risks rate. Research shows that the larger face risk of being the first to competitors, the more investors will invest earlier. CLC：F424.7 Document code：A
Preparation and Properties Study of Porous Carbon Template Based on SLA
Authors: Jin Jie , Li Hao , Wang Shen Hao
Published: April 2011

Prototypes with micro-pore structure were manufactured by stereolithography technology. The prototypes were injected with mixture of wood flour as porogen and thermosetting phenolic resin as raw, then were pyrolysed after curing and prepared porous carbon templates. X-ray diffraction and scanning electron microscope were employed to analyze the phase and microstructures of the carbon templates. The pyrolysis reaction is analyzed, and the causes of the three-dimensional pore system in porous carbon template are given.
The Research of Mobile-Commerce based on Web Services
Authors: Quan Ou Yang
Published: April 2011

The diversity of mobile terminals makes M-Commerce’s development face difficulties. Web Services technology is an application communication standards which independent from platform, component model and programming language, it can simplify the development of cross-platform application. This paper studies how to adopt Web Services-based technology to build M-Commerce platform and establishes an m-commerce platform example using the Web Services integration solutions provided by .NET Framework.
Study on the Luminescence and Reflection Spectra of Al2O3 Doped Er2O3 Films on Si Substrates
Authors: Zhu Yan Yan , Fang Ze Bo , Zhao Yu , Li Hui Yu , Chen Jing , Cao Hai Jing
Published: April 2011

Amorphous Al2O3 doped Er2O3 films were deposited on Si(001) substrates by radio frequency magnetron sputtering technique. Emission spectra exhibit a strong emission band around 410 nm and a series of emission band near 970, 980, 1018, 1042 and 1080nm. Ellipsometry measurements show that the refractive indexof the ErAlO films in the region of 400～1000 nm is between 1.76-1.83. The reflectivity of the ErAlO on Si is much smaller than that of clean Si and pure Er2O3 films. All the results indicate that ErAlO could be a promising material for Si solar cells.
Combining Speech Enhancement and Cepstral Mean Normalization for LPC Cepstral Coefficients
Authors: Yang Jie
Published: April 2011

A mismatch between the training and testing in noisy circumstance often causes a drastic decrease in the performance of speech recognition system. The robust feature coefficients might suppress this sensitivity of mismatch during the recognition stage. In this paper, we investigate the noise robustness of LPC Cepstral Coefficients (LPCC) by using speech enhancement with feature post-processing. At front-end, speech enhancement in the wavelet domain is used to remove noise components from noisy signals. This enhanced processing adopts the combination of discrete wavelet transform (DWT), wavelet packet decomposition (WPD), multi-thresholds processing etc to obtain the estimated speech. The feature post-processing employs cepstral mean normalization (CMN) to compensate the signal distortion and residual noise of enhanced signals in the cepstral domain. The performance of digit speech recognition systems is evaluated under noisy environments based on NOISEX-92 database. The experimental results show that the presented method exhibits performance improvements in the adverse noise environment compared with the previous features.
Design of Insulation Resistance Test for Cables in Intelligent Munition
Authors: Zhang Zhi Wei , Chen Lei , Ren Bo Feng
Published: April 2011

In the test system of intelligent munition, a test module of insulation resistance has been designed using the test resource of the system. The test module used virtual instrument technology,database technology and modularization method.It optimizes allocation of resources and simplifies hardware design. It has a good human-computer conversational enviroment and it is easy to operate and record for users. Introduced measuring methods of insulation resistance,designed hardware and measuring circuit,developed test software and realized the test data storage and management by using database technology.It realized automatic test.
Virtual Dynamics Simulation on Railway Wheel-Track Contact Force Spectra
Authors: Wen Z.Z. , Zhao Yong Xiang
Published: April 2011

A possible virtual dynamics method is developed to replenish the wheel-track contact force histories for assessing properly the vehicles dynamics-fatigue properties under unknown real railway line spectrum. The work starts from known partial on-line inspection data of the force histories and the two known referenced line spectra, i.e. American railway line spectra of grades V and VI. The inspected data are used for selecting a closer line spectrum to real one from the two known spectra, and then, for verifying the developed method. The closer one is determined by comparing the predicted force histories by the two referenced spectra to the inspected data, respectively. The simulation method is gradually developed by adjusting vehicle’s dynamics parameters in terms of a virtual dynamics method to reduce the difference between on-line inspected data and the dynamics simulations. Availability is verified by the method developing process on dynamics simulation of China railway freight car with 23 ton axle weigh.
Study on Machine Vision Orientation of Incremental Sheet Forming Process
Authors: Han Fei , Ma Zhi Qiang , Mo Jian Hua , Hu Meng
Published: April 2011

In incremental sheet forming process, the bolster model usually applies guide pin to position. However, it is inefficient and rough due to the bolster model floating and fit tolerance between guide pin and aligning hole. This paper introduces a new method to position the bolster model. The image capture system captured the aligning holes images, and then processed it. The trajectory orientation system, which was based on machine vision, applied the least square principle to determine the parameters of aligning holes and obtain the coordinate system of bolster model. The camera calibration software, which was developed by Vision C++6.0, obtained the relationship between machine tool coordinate system and bolster model coordinate system. Then, CNC system transformed the machine coordinates offline, which enabled the forming trajectory coordinates to match bolster model coordinates automatically. Additionally, the forming process of automobile door is presented, which applied the new method, the result demonstrates that non-touch position method is more rapid and more accurate.
One Intelligent Video Surveillance System Based on DM642
Authors: Tang Zhi Wei , Wu Xi Xuan
Published: April 2011

This article introduces an intelligent surveillance distributed system based on TMS320DM642. The system platform has many functions, such as OSD (on screen display), analog video output, digital video output, Hard Disk, Ethernet and so on. DM64. User can set the rules via the management software. The video input from analog cameras and IP cameras can be processed by DM642 according to the rules. If any event happens which acts against the rules, alarm will be given. The system provides immediate, accurate and intelligent services for users. In order to realize the complex image processing algorithms on DM642, we optimize the algorithms based on DSP and propose a series of rapid image processing algorithms. The design of the project puts the emphasis on the feasibility of distributed high-performance processing from both hardware and software aspects, which may be easily applied to other large scale or hard real-time intelligent information processing.
Missile-Target Information Acquisition of PRS in Confrontation Environment
Authors: Zhao Chun Na , Zhao Yu , Li Ying Shun , Luo Li Ming , Liu Yi
Published: April 2011

To overcome the shortcomings of the traditional passive-radar-seeker (PRS) for anti-decoy, a complex angle measuring method is proposed in this letter. The complex angle measuring method consists of monopulse angle and spatial spectrum estimation, two angle-measuring units. PRS can get the angle high-resolution features through the complex angle measuring method. To improve the precision and the stabilization of the angle-measure in the active-decoying environment, a grey processing approach is proposed in this paper. The methods of removing gross error and parameter estimation based on the grey entropy definition are proposed in the paper. Using grey data processing approach based on the definitions of grey distance measure and grey relation entropy, eliminate singularity and retain random error. Finally, the simulation results verify the feasibility and anti-decoy capacity of the complex angle-measuring method, and the grey processing approach can improve the precision and stabilization of angle-measurer in active-decoying environment, and can improve the precision of anti-radiation missiles (ARM).
Research and Design of WAP-Based Mobile E-Commerce System
Authors: Xu Hong Yun
Published: April 2011

WAP technology is the world's leading standards that the mobile terminals access wireless information services, through which you can access internet anytime and anywhere. This paper describes the basic concepts and characteristics of WAP, analyze its implementation framework in detail, study the WAP development model, and problems should be pay attention to in WAP development, at the same time a practical business development example based on WAP is given to illustrate how to build e-commerce system based on WAP.
Geometric Figure Recognition by Using Multiple Algorithms Combination
Authors: Xu Jia Wei , Park Seop Hyeong , Fei Xian Yun
Published: April 2011

This thesis is mainly focused on the geometric figure recognition. We provided many diverse shapes such as rectangle, ellipse, square, circle, parallelogram and other shapes. Based on different kinds of geometric shapes, a number of commonly used figure classification algorithm were designed to recognize all kinds of figures and a geometric figure painted on palette arbitrarily. The experimental results indicate that figure recognition algorithms can be well performed in an integrated graphical user interface.
Reliability Analysis of Automotive Rear-Axle Bumper by Using Adaptive Neural-Fuzzy Inference System
Authors: Xu Jia Wei , Park Seop Hyeong , Fei Xian Yun
Published: April 2011

Adaptive neuro-fuzzy inference system[1] is an advanced algorithm to estimate important parameters based on limited available information. We conducted a specific analysis about this algorithm to validate our viewpoint compared with Weibull distribution[2], and rear-axle bumper was used for our experiment. The experimental results indicate that ANFIS can be more precise than Weibull distribution and more close to the real circumstances. According to the root mean square root that decreases to a relatively low value, we could infer that ANFIS is a good approach to estimate all data based on the limited given samples.
Influence of Ar+ Energy of Bombardment Cu Target and Low Energy Assisted Bombardment on Cu-W Thin Film Structure by Ion Beam Sputtering
Authors: Ai Yong Ping , Zeng Ying Ying , Liu Li Jun , Huang Xiao Ming , Zhou Tai Ping
Published: April 2011

This paper is to study the influence of Ar+ energy of bombardment Cu target and low energy assisted bombardment on Cu-W film structure in the preparation of Cu-W thin film by dual ion beam sputtering technique with iron as the substrate and argon as ion source. The results shown : when Ar+ energy of bombardment tungsten target is about 3keV, the beam of copper target is 20mA, Ar+ energy of bombardment Cu target is 1kev, 1.5kev and 2keV respectively, Cu-W thin film prepared by ion beam sputtering exists with the skeleton of tungsten in amorphous phase mixing with copper grains; with the increase of Ar+ energy of of bombardment copper target, the grain size of copper increases slightly; influenced by crystal defects and lattice distortion, copper diffraction peak offsets a little. Low energy assisted bombardment helps to increase grain growth of copper and can decrease crystal defects and lattice distortion. But with excessive energy, thin film fails to deposit.
A Fine-Grained Embedded-Software-Network Detection Method
Authors: Liu Fa Gui , He Nan , Li Sheng Wen , Liu Fei
Published: April 2011

The continuous development of embedded technology has emerged an increasing demand of internet-based embedded software. The current existing tools only offer coarse-grained network detection, in other words, they don’t satisfy the refining detection standard for the convenience of developers. This paper begins with analysis into defects of the current network detection methods and tools with deep insight from the Netfilter of Linux kernel and protocol stack for packet processing technology, it then proposes a fine-grained network detection method, with which we build up an embedded-software-network detection tool for digital-home-appliances. The built tool can operate real-time and fine-grained monitoring. An experiment has been performed in the final section of the paper to prove the accuracy of the method.
A Material Removal Modeling of Chemical Mechanical Polishing Based on Micro-Contact Mechanism
Authors: Du Shi Wen , Li Yong Tang , Song Jian Jun , Qi Hui Ping
Published: April 2011

The model proposed integrates process parameters including pressure and velocity and other important input parameters including the wafer hardness, pad roughness, abrasive size, and abrasive geometry into the formulation to predict the material removal rate. Based on the deformation of hyper-elastic asperities attached to a linear-elastic pad, contact mechanism between the asperities and the wafer is analyzed. Micro-contact mechanism between the particle and wafer is proposed on the basis of elastic-plastic deformation theory. Material removal rate of single abrasive particle is calculated by the abrasive wear theory. The fluid effect in the current model is attributed to the number of active abrasives. Wafer scale material removal rate is analyzed in detail, which is agreed with the experimental results. The Preston’s coefficient, which has been determined empirically, is now given as a function of various processing variables, pad roughness, wafer material properties and slurry status.
Comprehensive Evaluation Model of Grey Fuzzy on Oilfield Development Program
Authors: Hu Juan , Liu Zhi Bin , Zou Kai Qi
Published: April 2011

Based on the characteristic of oilfield development programs, we comprehensive analyzed the influence of development and economical factors on development program, and constructed a comparative evaluation factors system of oilfield development program. In addition, based on the comparative analysis of grey theory and fuzzy evaluation, a grey-fuzzy appraisal method was set up and successfully applied to the evaluation of oilfield development programs. Grey theory was used to describe the factors that are difficult to quantification, and the analytic hierarchy process was used to confirm the appraisal factor’s weight and grey level. Furthermore, we chose eight development programs of an oilfield as our evaluation target and get an option sequence by using the grey-fuzzy method. The result shows that, grey-fuzzy methods have more advantage than fuzzy method in the evaluation of oilfield development programs.
Research on Holonic Control Structure and System Layout for Re-Configurable Manufacturing System (RCMS)
Authors: Wen Xi Qin , Ding Xi Jie , Zhao Zhong Min , Xie Zhi Yu
Published: April 2011

In order to make reconstruction of re-configurable manufacturing system (RCMS) more efficient and fast, a new design method for control structure and system layout is put forward. First, a holon control structure, such as centralized-control, hierarchical control, non-strictly hierarchical control, and distributed control, is introduced. Each function module of the control structure not only has relative independent character and also cooperation with other control structure. It may constitute the required structural according to the market demand at any time to realize re-configurable control goals. At last, the key technology and the implementation method involved in layout design of equipment and system layer are discussed.
α-Cost Minimization Model of Grain Supply Chain
Authors: Ding Si Bo
Published: April 2011

The design of the grain supply chain network is one of the important and challenging problems in the field of agri-food supply chain. Almost all researches mainly concerned with the problem in deterministic, stochastic or fuzzy environments. Different from them, we study the grain supply chain design problem by using uncertainty theory. This paper employs an uncertain programming tool to design the grain supply chain network and a α-cost minimization model is proposed. To solve the model, we design a hybrid intelligent algorithm which integrates 99-method and different evolution algorithm. Finally, a numerical example is presented to illustrate the effectiveness of the proposed model and algorithm.
The Exploration on Principal Vibration Mode of the Multi-Freedom System
Authors: Liu Jun
Published: April 2011

In calculation of structural dynamics, determining principal mode of multi-freedom system structure often is an issues concerned by the engineering and technical personnel. The supperposition method is one way which is usually widely used by engineering and technical personnel, but this method has its limitations. This paper introduces common calculation methods of the structure of principal mode, and the amendment solution of the supperposition method is deduced. This method is accurate through checking of the examples.
Adaptive WSN MAC Protocol Based on Mixing Broadcast
Authors: Chen Xin
Published: April 2011

MAC protocol of Wireless Sensor Network (WSN) requires high efficiency to achieve maximum traffic transmission, while pursuit high reliability at the same time. The paper researched on reliable mixing broadcast implementation manner of WSN. Based on analysis on implementation manners of broadcast, unicast and mixing broadcast, a kind of adaptive MAC protocol supporting reliable mixing broadcast was presented. The protocol dynamically select implementation manner with maximum mixing broadcast efficiency based on given network parameters to complete transmission of data frame. Simulation results based on NS2 shows that the protocol has better performance to achieve reliable mixing broadcast, which solve problems of reliable broadcast/multicast at network layer.
A Kind of Security Certification Schema of Hierarchical Distributed Sensor Network Based on Certificate Reconstruction
Authors: Chang Hai Feng
Published: April 2011

The characteristics of Wireless Sensor Network (WSN) determine that traditional security certification mechanism can not meet its security needs. Based on introduction of a distributed hierarchical WSN model, the paper divided WSN network architecture into application layer, base station layer and sensor node layer according to difference of computation speed, power energy, communication capability and storage space of sensor nodes. A kind of security certification schema of hierarchical distributed sensor network based on certificate reconstruction was presented. In the schema, application layer and base station layer used common digital certification of PKI model to construct trust relationship. The sensor node achieved identification authentication and data source authentication through certification reconstruction.
A Kind of Network Security Evaluation Method Based on Local Variable Weight
Authors: Wang Yu Jiao , Lin Hai Yun
Published: April 2011

The basis to build effective network security protection is to reasonably evaluate on network security. Based on analysis on shortcomings of existing network security evaluation methods, the paper built network security evaluation index system according to CC specifications. The advantages of local variable weight comprehensive method were analyzed and the method of network security evaluation based on combination of AHP and local variable weight was presented. The evaluation example on some network elements indicates that the method evaluate on overall information security level, so that the evaluation result be objective and reasonable.
Effect of Pressurizing Process on Molten Aluminum Alloy and Furnace Chamber Temperature of Vacuum Counter- Pressure Casting
Authors: Yan Qing Song , Yu Huan , Cai Chang Chun , Xiong Bo Wen , Lu Gang
Published: April 2011

In pressurizing process of vacuum counter-pressure casting, the pressurizing pressure and velocity are very important parameters. Through testing the change of molten aluminum alloy and furnace chamber temperature with the time at difference pressurizing pressure and velocity, the effect of pressurizing process on molten aluminum alloy and furnace chamber temperature of vacuum counter- pressure casting is studied. The results indicate the furnace chamber temperature reduces abruptly at beginning of pressurizing process, subsequently, it elevates to the initial temperature. Moreover, the change of the furnace chamber temperature is finished in the short time. But the change of molten aluminum alloy temperature is not obvious in pressurizing process. At identical pressurizing velocity, the change of the furnace chamber temperature is bigger with increase of pressurizing pressure. Similarly, at identical pressurizing pressure, the change of the furnace chamber temperature is bigger with increase of pressurizing velocity too. Moreover, the effect of pressurizing velocity on the furnace chamber temperature is bigger than pressurizing pressure, and the change of the furnace chamber temperature don’t have effect on the change of molten aluminum alloy temperature.
Fractal Artistic Algorithm Structure and Image Production
Authors: Duan Ai Ling , Duan Qiong Bo
Published: April 2011

The fractal art graphic is one of the main manifestations of fractal art, which can be produced through mathematical models and programming on a computer. The paper investigates the designing concept of fractal art based on its self similarity and the iterative method, elaborates in detail the algorithms and steps of several kind of typical fractal graphics, and by properly inserting some controlling variables, has generated a large number of exquisite and inspiring fractal graphics using the JAVA programming language, confirming the validity and usability of presented algorithm’s.
Adaptive Searching and Kalman Filter Vision Compensation during Mobile Robot Docking Operation
Authors: Wang Bin Rui , Xu Yin , Jin Ying Lian , Cheng M.
Published: April 2011

Based on affine transformation image kinematics and recurrence relations, the sub-region KLT feature extract with was designed and rules were given. Optimization of sum of absolute difference was used to match feature points. Diamond search template was adapted to make matching fast, and adaptive varying template size scheme was proposed to solve the problem the minimum SAD is not exclusive, and detailed procedure were described. In order to ensure that extracted feature points are on background, not on moving robot, adaptive iterative scheme was proposed and algorithm was designed. Through solving over-determined image kinematics equations using the least squares algorithm, got the motion parameters. According to the self-developed jitter compensation model, unintended motion was reduced by Kalman filter. Then use filtered parameters to reconstruct image. Based on two autonomous robots, experiment was completed. Results show method proposed meet requirements of accuracy and real time.
Image Encryption Scheme Based on Dual Hyper-Chaotic Recurrent Neural Networks
Authors: Dong En Zeng , Du Yang , Li Cheng Cheng , Chen Zai Ping
Published: April 2011

Based on two hyper-chaotic recurrent neural networks, a new image encryption scheme is presented in this paper. In the encryption scheme, the shuffling matrix is generated by using a Hopfield neural network, which is used to shuffle the pixels location; the diffusing matrix is generated by using a cellular neural network, which is used to diffuse the pixels grey value by OXRoperation. Finally, through numerical simulation and security analysis, the effectiveness of the encryption scheme is verified. Duo to the complex dynamical behavior of the hyper-chaotic systems, the encryption scheme has the advantage of large secret key space and high security, and can resist brute-force attacks and statistical attacks effectively.
New Feature Subset Selection Algorithm Using Class Association Rules Mining
Authors: Zhang Shou Juan , Zhou Quan
Published: April 2011

A new feature subset selection algorithm using class association rules mining is proposed in this paper. Firstly, the algorithm mines rules with features as antecedences and class attributes as consequences. Then, it selects the strongest rules one by one, and all the rules’ antecedences make up of the selected feature subset. Experimental results on 10 real data sets show that the proposed algorithm produces a remarkable advantage in enormously reducing the number of the features while keeping quite high classification accuracy compared with other existing seven algorithms. This algorithm can offer an available preprocess technique for pattern recognition, machine learning and data mining.
Bearing Fault Detection Based on Order Tracking and Complex Morlet Wavelet Transform
Authors: Li Hui
Published: April 2011

A new approach to bearing fault diagnosis under run-up based on order tracking and continuous complex Morlet wavelet transform demodulation technique is presented. The non-stationary vibration signal is first transformed from the time domain transient signal to angle domain stationary one using order tracking technique. Then the continuous complex Morlet wavelet transform is applied to the angle domain re-sampled signal and the complex Morlet wavelet transform based multi-scale envelope spectrum is obtained. The experimental result shows that order tracking and complex Morlet wavelet transform based multi-scale envelope spectrum can effectively diagnosis bearing localized fault.
Investigation on Technology of Automobile Vibration and Noise Reduction Based on Body-In-White Structure
Authors: Hu Qiao Sheng , Ni Feng , Zuo Shu Guang , Lin Jian Ping , Fang De Guang , Guo Fu Xiang
Published: April 2011

The automotive body system is not only a source for directly radiating noise into the vehicle interior space, but also a key component for transmitting various vibrations and noise. The optimization of the modes for body-in-white has significant meanings for improving the reliability and NVH (Noise, Vibration and Harshness) performance of the whole vehicle. Based on the current situation that there is more severe interior vibration and noise problem occurring in driving for a light passenger vehicle, a hybrid modal analysis method combined with experiment and simulation methods is applied to investigate the vibration and noise characteristics of the whole vehicle body. By performing such modal analysis, the modal frequencies of the auto-body are improved effectively by strengthening the vibration sensitive regions in the body structure. The experiment for measuring interior vibration and noise levels under cruise condition is conducted to validate that the structural optimization for body-in-white has significant contribution for improving the whole vehicle NVH performance.