bluuebunny/crossref_metadata_2025 huggingface dataset:
Thermal Properties of Ester-Type Easy Cationic Dyeable Poly(ethylene Terephthalate) (ECDP) Polymers
Authors: Sun Yu , Zheng Guo , Yang Hong Xiang , Liu Yan Jun , Li Xiao Ning
Published: December 2010

This study investigated the thermal properties of ester-type easy cationic dyeable poly(ethylene terephthalate) (ECDP) polymers using differential scanning calorimetry (DSC), therogravimetric analysis (TGA). The mass ratios of 5-sodium sulfo bis(-hydroxyethyl) isophthalate(SIPE) for ECDP polymers were 2.8%, 5.5%, 6.8%, respectively. The fourth monomers were diethylene glycol adipate (DGA), diethylene glycol succinate (DGS) and diethylene glycol subacate (DES) with different contents. The results suggested that the Tg of ester-type ECDP decreased with the increasing the molecule weight of the fourth monomer at fixed SIPE and fourth monomer contents. The Tch of ECDP polymer to be lower than that of the CDP polymer with the same SIPE content. And it decreased as SIPE and fourth monomer contents increased, it also decreased with the increasing of the molecule weight of the fourth monomer given the same SIPE content. The effect of the ester-type soft segments reduced the Tm of ECDP. The thermal stability of ECDP polymer was less than PET and CDP polymers, and it decreased with increasing SIPE content, but increased with the ester-type fourth monomer content increasing.
Lattice BGK Simulation of Hydromagnetic Double-Diffusive Convection in a Rectangular Enclosure with Linearly Variable Temperature and Concentration Gradients
Authors: Liu Xue Mei , Lu Han Jun , Ye Mei Ying , Xu You Sheng
Published: December 2010

Hydromagnetic double-diffusive convection of a binary gas mixture is simulated by a temperature-concentration latitce Bhatnagar-Gross-Krook (TCLBGK) model in a rectangular enclosure with the top and bottom walls being insulated, while linearly variable temperature or concentration gradient or both are imposed along the left and right walls from the bottom to the top and a uniform magnetic field is applied in x-direction. we take the Prandtl number =1, the Lewis =2, the thermal Raleigh number =105, the Hartmann number =0, 25, 50, the dimensionless heat generation or absorption =0, the aspect ration =2 for the enclosure and the ratio of buoyancy forces =0.8, 1.3. Numerical results are discussed in detail. It is founded that linearly variable temperature and concentration gradients have significant influence on the stratification and direction of streamlines and convection.
Distributed Control System for Papermaking Production Line
Authors: Huang Jian Bing , Ning Duo , Xiao Zhong Jun
Published: December 2010

According to the features of papermaking production line, a new kind domestic distributed control system MACS is developed here for the practice application. The methods of hardware component and software realization for the control system are proposed. Practices prove that the novel distributed control system for the paper-making production line can run automatically, safely and smoothly which can achieve high performance index, and it can sharply reduce the cost of construction and installation as well as the cost of maintenance.
Dynamic Model of the Road Feel Generation System in Advanced Driving Simulators
Authors: Zhu Li Wei , Zhang Zhi Yong , Bao Zuo Jun
Published: December 2010

Road feel Generation System (RFGS) is the key subsystem of Advanced Driving Simulators (ADS), and its performance is key index of ADS's fidelity and validity. In this paper, the composition and functions of RFGS is firstly introduced, and then the dynamic model of RFGS based on the Lagrange Equation is provided, and subsequently the simulation and experiment is executed to validating the proposed dynamic model. Based on this model, the effective control algorithm can be developed and the performance of RFGS can be improved, and then the fidelity and validity of ADS can be enhanced.
Porous Silicon Immunosensor for Label-Free Detection of SpaA
Authors: Jiang Tao , Lv Xiao Yi , Zhong Fu Ru , Mo Jia Qing , Tu Yi Xian , Jia Zhen Hong , Zhang Fu Chun
Published: December 2010

A novel immunosensor based on porous silicon (PSi) for antigen detection was reported in this paper. The antigen (SpaA) and the specificity of the antibodies are employed as the target and the probe in our laboratory, respectively. The immunosensor structure was prepared using bioconjungation. After the antigen-antibody reaction, the red shift of the reflection spectrum of the immunosensor increases in proportion to the concentration of SpaA. The sensitivity of this immunosensor is 41nm/ µg•ml-1 and the detection limit is 2.44×102pg•ml-1, they are better compared with our previous work by using this method. Controlled experiments were also presented with non-immune antibody and the results show that this immunosensor possesses high specificity.
Numerical Study on Impingement of a Droplet upon a Liquid Film
Authors: Liu Hong , Xie Mao Zhao , Wang Su Chun , Jia Ming
Published: December 2010

This paper reports progress in the numerical simulations of a droplet impingement upon the wall film of the same liquid. The full Navier-Stokes equations are solved in axisymmetric formulation. The surface tension force is modeled by a continuum surface force (CSF) model. An adapting local refinement technique is used to provide the fine grid coupled by the volume-of fluid (VOF) method for tracking the interface between the gas and the droplet and liquid film. Results indicate that the motion behavior of droplet impingement upon the liquid film is dominantly influenced by the initial kinetic energy and the thickness of the film as well as the surface tension and the liquid viscosity.
New Application of Lap Laser Welding on Stainless Steel Railway Vehicles
Authors: Wang Hong Xiao , Wang Chun Sheng , Shi Chun Yuan
Published: December 2010

Recently the problems of resistance spot welding (RSW) stainless steel railway vehicles are causing more attention for poor surface quality. Lap laser welding of stainless steel is investigated with OED(Orthogonal experimental designing ) in this study to replace RSW with the aim of to increase the aesthetics of the car body by eliminating visible indentation on the surface and the flatness of the skin reducing welding deformations. After welding tensile tests and microstructure analysis are performed. The optimization of process parameters were: laser power =2.5kW；welding speed=2.2m/min, focal position=0mm. The fusion zone is symmetrical about the axis of the laser beam and no welding cracks or porosity can be found in any of the welds. This work has great significance of improving the manufacturing level of stainless steel railway vehicles.
Variation for Soil Stress on CPTU Model Test
Authors: Tang Yan Chun , Meng Gao Tou
Published: December 2010

Through a series of Piezocone Penetration Test (CPTU) model tests with saturated clay soil, by CPTU probe penetrating soil stress measured by soil pressure mini-cells embedded into soil has been acquired, the variation rules of soil stress by penetrating has been analyzed, the results show that with probe close to the second cell layer, the stress measured by the cells has been increased rapidly; when probe has arrived at the position of the second cell layer, the maximum stress value has been attained; and with probe away from the second cell layer, the stress value has been decreased rapidly. Based on the achieved soil stress value, the axial and radial subsidiary stress field causing by penetrating has been acquired, the conclusions can be obtained that the main stress style of the axial subsidiary stress is compression stress, around the probe the highest stress field has been occurred; the stress style of the radial subsidiary stress is compression stress, this phenomenon shows that by penetrating the compaction effect of the soil around the probe has been created; during the course of penetrating, the radial subsidiary stress is less than the axial subsidiary stress obviously. The achieved result can provide a foundation for further study for CPTU mechanism.
Research on the Influencing Factors of Dynamic Characteristics of Electronic Injector
Authors: Liu Hui Qiang , Zhao Si Fang , Wang Jing Jing
Published: December 2010

Base on the structure and working principle of electronic fuel injector, according to the related theories of electromagnetic field and flow field, the mathematical model of the electromagnetic force and fuel pressure have been deduced. Then using the finite element method to make a detailed analysis of magnetic permeability, core diameter, the working air gap, winding radius influence on the dynamic characteristic of the injector. According to this analysis, optimize those parameters for a new electronic injector, using the dynamic measurement system for a test, the results show the optimized injector has a better dynamic response than the unoptimized one.
Research on the Molding Parameters for Low Pressure Sheet Molding Compounds
Authors: Li Jian , Yu Xun Zhang , Zhang Kai
Published: December 2010

Molding parameters are significant for compression molding. In this paper, the molding process for low pressure sheet molding compounds thickened by crystalline unsaturated polyester was investigated. The optimal molding parameters such as molding temperature, molding pressure and curing time were determined by orthogonal test. And the effect of molding parameters on flexural strength and surface quality of molded parts were also studied. Results showed that when the molding temperature was 115°C, the pressure adding time was beginning at 15s after LPMC was put into the die cavity, the moving time of press column was 15s at the last 25mm and the pressure keeping time was 6min, LPMC gained optimal mechanical property and surface quality.
Nano Inorganic Particles to the Doping and Influence of Polyimide Electric Breakdown
Authors: Lin Jia Qi , Shi Jun Hui , Wang Chen
Published: December 2010

This page is about the preparation of inorganic nanoparticle polyimide films by in-situ. Through this kind of doping, that changed the physical and chemical properties of polyimide. Experimental film by infrared, ultraviolet, SEM, electrical breakdown experiments, the surface resistivity, volume resistivity, and electrolum- inescent. The results show that the polyimide/ZnO films preparation by this kind of doping, hybrid inorganic nano-particles can reduce polyimide electrical breakdown field, the surface resistivity, volume resistivity, electroluminescent. It testified by electroluminescent show that the electroluminescent position from 561.8nm to 609.4nm. The redshift phenomenon occurs show that the apparent on polyimide trap turn lighter.
FE Simulation on Temperature Field of the Flexible Forming by Plasma Arc
Authors: Zhen Heng Zhou
Published: December 2010

Plasma arc forming is a new technique of metal sheet forming without moulds and external forces. This paper developed a mathematical model to study the variations of temperature field during the forming process which was validated by experiments. The results indicated that: the temperature near to the inlet of metal sheet was lower than that in the vicinity of outlet. The peak temperature increased with the increasing of plasma arc power, but decreased with the increasing of scanning speed or plasma arc diameter. For specified metal sheet, the forming efficiency can be improved by properly increasing plasma arc power, decreasing plasma arc diameter or scanning speed under the condition that the material properties are not destructed.
Predictions of Mechanical Properties of Single Crystal Copper Nanorod with Multiscale Simulation Method
Authors: Liang Ying Chun , Hu Xing Lei , Chen Jia Xuan , Pen Hong Min
Published: December 2010

Nanometric uniaxial tension tests of single crystal copper nanorod are simulated using multiscale simulation method, which has combined molecular dynamics (MD) and finite element method (FEM). New tension models of nanorod are constructed. Tension processes of ideal nanorod without notches and that with notches are performed to analyze their mechanical properties. Deformation mechanism of tension process is discussed in detail. Yield strength and elastic modulus are calculated according to the obtained stress-strain curves. Finally, the results show that the notches have obvious influence on the mechanical properties of copper nanorod. Due to the existence of notches, the section area of single crystal nanorod decreases by 40%; however, the yield strength and elastic modulus decreases by 39.0% and 10.2% respectively in our simulations. This research is helpful for identifying the mechanical properties of single crystal copper nanorod, and for understanding the deformation mechanism of tension process of nanorod.
Spark Plasma Sintering Behavior of 93W-5.28Ni-1.32Fe-0.4Y2O3 Heavy Alloy Powders
Authors: Hu Ke , Li Xiaoqiang , Qu Sheng Guan
Published: December 2010

Spark plasma sintering (SPS) method was used to consolidate ultra-fine and mixed 93W-5.28Ni-1.32Fe-0.4Y2O3 (wt pct) powders, and the effects of sintering parameters on the densification degree and the performance of the as-sintered materials were investigated. Results showed that the SPS densification process could be divided into four stages. Compacts were densified rapidly at the stage III and a proper holding time promoted W diffusing into fcc-type Ni-Fe based solution. Heating rate and sintering time had a great influence on densification. When the powders were heated at a rate of 100°C/min to 1230°C and then held for 5min, the density, hardness and transverse rupture strength of the as-sintered material reached the optimum, being 17.18×103kg/m3, 41.4HRC and 935.1MPa, respectively. Its corresponding fracture morphology was characterized as intergranular rupture of W-W, and accompanied with some transgranular cleavage of tungsten grain.
ITO Transparent Conductive Films Prepared under Non-Vacuum Conditions
Authors: Yang Li Ning , Qi Hai Bo , Ding Zhan Lai , Wang Lei
Published: December 2010

Indium Tin Oxide (ITO) conductive films are widely used to make Thin Film Transistor (TFT), Liquid Crystal Display (LCD), and Plasma Display Panel (PDP) as its high transmittance of visible light and conductivity. But now, most of the methods that used to prepare ITO conductive film must be conducted under vacuum condition and there are many problems in the economic benefits and production efficiency of these methods which limit their application. In this paper two ITO film prepared methods under non-vacuum condition are proposed: one is a matrix-injecting method, the other is a high voltage electro-spinning method. Some simple experiments and designs are executed to test the feasibility of the above two methods. The results shown that the above two methods are fit to prepare the ITO film, and the surface quality of initial ITO film made by the high voltage electro-spinning method is smooth and uniformity.
Experiment on Thin Structure Behavior of Explosion Flame Flow Field
Authors: Chen Xian Feng , Zhang Y. , Chen M. , Ren Shao Feng , Song Xiao L.
Published: December 2010

To prevent and control fire and explosion disasters, the premixed methane-air explosion was performed under restricted condition. In the experiment, the high speed schlieren photography system was used to record the flame characteristics and propagation mechanism. At the same time the ion current probe was used to reveal the inner flame structure characteristics. Based on the images of High Speed Schlieren Photography, the flame acceleration and flame structure were discussed in detail. In addition, the flow field characteristic of explosion flame was disclosed clearly. The microscopic evolving process of laminar-turbulent transition was accomplished in the period of flame structure change. As an alternative observation and detect technique, the high speed schlieren photograph system was used to capture flame front microstructure dynamic process precisely. Based on burning chemical and explosive dynamics, the optical measure method can record flame dynamic behavior visually, which further helps to disclose flame microstructure characteristic and the inner dynamic mechanism.
Research on Deep Processing of Primary Products Based on DEA and Self-Adaptive Filter Forecasting
Authors: Li Lin , Wang Bo , Chen Luo
Published: December 2010

To optimize agriculture structure, it is important to develop middle and lower factors of the industrial chain and to improve its technologies and management. The current efficiency is analyzed by qualitative ways and DEA. It is argued of the relationship between economy and deep processing of primary products. Then selection and forecast of technology is applied based on self-adaptive filter forecasting.
Numerical Analysis of Exfoliation Corroded Holed Aluminum Plates Repaired with Adhesively Bonded Composite Patches
Authors: Yang Xiao Hua , Zhang Ding , Kuang Lin , Zhang Yong , Ding Wen Yong
Published: December 2010

A 3D FE model of exfoliation corroded holed aluminum plates repaired with adhesively bonded composite patches was established in this paper, and then the stress distribution in the repaired aluminum plate was analyzed. The result shows after repairing in the exfoliation corroded holed aluminum plate gets reduced for 33.62%, and the repaired aluminum plates undergoes bending deformations due to the offset between load axis and centroidal axis of the repaired structure.
Management of Knowledge Base of Expert System for Fault Diagnosis of Rotating Machinery
Authors: He Qing , Li Xiao Qin
Published: December 2010

Expert system as a computer program can imitate human experts to diagnose fault of rotating machinery quickly and accurately, which makes diagnose automatically and intelligently and offers a guarantee for device operation in security, stability, and high-quality. The performance of diagnosis system will be degraded if the organization and management of fault diagnosis knowledge of rotating machinery that is more and complex are illogical. For this reason, the fault knowledge is divided according to the different parts and stored in databases in the form of production rules. As a result, the querying, modifying, adding, deleting of knowledge can be easily realized by the basic technology of database. Finally, an expert system based on forward-backward hybrid reasoning for general fault diagnosis of main parts of rotating machinery, such as rotor, roll bearing, gear and so on, has been designed, the rotor fault are verified and diagnosis result are accurate. The system is reasonable in structure, rich in information, easy in management and maintenance of data base.
Application of Improved Genetic Algorithm in Maintenance Decision for Turbine-Generator Unit
Authors: He Qing , Zhang Jian Ding
Published: December 2010

The complicated function relations are more prone to appear in the maintenance scheduling of steam-turbine generator unit. Many constrained conditions are often attendant with these function relations. In these situations, the traditional method often can not obtain the exact value. The genetic algorithm (GA), a kind of the heuristic algorithms, does not need the function own good analytic properties. In addition, as the operating unit of GA is the group, so it applies to the parallel computing process. In GA executive process, the offspring continually inherit the genes from the parents, so it is more prone to be involved in the local convergence. An improved genetic algorithm is proposed and used in the model of maintenance decision of turbine-generator unit under. The goal of the model is to seek to the rational maintenance scheduling of the generator unit, so as to minimize the sum of the maintenance expense, the loss of the profit on the generated energy, and the loss of the penalty. It is proved by the example that IGA is highly efficient.
Influence of Sandwich Damping on the Loss Factor of Multi-Plies Bellows
Authors: Ma Wei , Lu Yong Chao , Liu Yong Gang , Li Ji Shun , Xue Yu Jun
Published: December 2010

Multi-plies bellows is a kind of cylindrical thin-walled container with curved shape. It is effective in seal, energy storage and vibration isolation. In the paper, the modal loss factor of multi-plies bellows was analyzed based on the modal strain energy method. Then the finite element models of multi-piles bellows were given by ANSYS. The mechanical performance of bellows was analyzed in detail. The strain energy distribution of multi-plies bellows and viscoelsticity layer were given. According to the strain energy, the influence of sandwich damping on the loss factor was studied. The results show that the loss factor can be improved by employing the sandwich damping with big thickness and elastic modulus 200MPa.
The Thermal Property of Soybean Protein–PVA Fibers
Authors: Yang Qing Bin , Liu Yi Xin , Tian Lin , Dou Yu Kun
Published: December 2010

In order to analysis the processing and serviceability of soybean protein-PVA fibers, the thermal property is studied by TG and DSC and other methods. The result is compared with that of the wool. The glass transition temperature of soybean protein-PVA fiber is 81°C.The decomposition temperature is 313°C.The heat dry air shrinkage rate is 2.3%. The heat endurance meets with the demand of processing and end use.
Acquiring PLC Data Based on OPC Techniques and Ethernet
Authors: Zheng Shu Hua , Fan Li Xin , Liu Jun Qiang , Chen Xiao Ping
Published: December 2010

For the purpose to analyze the way to acquire PLC Data based on OPC Techniques and Ethernet, the PLC communication techniques and the OPC techniques based on Ethernet are introduced at first. And then the system framework for PLC data acquisition based on the OPC server is established. Finally, the structure of the data acquisition system about NC machine and the way to acquire PLC data from NC machine are introduced.
Experimental Study on Reversibility of Magnetically Controlled Shape Memory Alloy
Authors: Ding Ying Li , Cai Yong Zhi , Lin Cheng Wu
Published: December 2010

This paper reports an experiment equipment which is used as reversibility research of magnetically controlled shape memory alloy (MSMA). The vibration detection is done based on dynamic reversibility of MSMA. The results show that MSMA will induce Martensitic transformation in the magnetic field. The characteristics of rapid dynamic response, high sensitivity and reversibility are found. The material is of a bright future of application in sensors and self-sensing actuator (SSA) field.
Effects of Multi-Step Welding Chamber on Extrusion Product Quality and Die Strength
Authors: Chen Hao , Zhao Guo Qun , Zhang Cun Sheng , Wen Dao Sheng
Published: December 2010

The shape of welding chamber is a key parameter in flat porthole die extrusion process, which influences product quality and die life-span directly. In this paper, by means of numerical simulation of the extrusion process for an aluminum hollow profile, the effects of multi-step welding chamber on metal flow and die strength have been investigate. The numerical results revealed that the multi-step welding chamber was effective to balance metal flow in the die cavity. In addition, with an increasing step of welding chamber, the maximum stress and deflection of the lower die decreased, while the deflection of the mandrel kept almost unchanged and the maximum stress of upper die increased.
Determining Method of Optimization Region of Quadrilateral Meshes Based on Viewpoints
Authors: Wu Li Juan , Zhai Yu Ren
Published: December 2010

Optimization rules of surface quadrilateral meshes are introduced in the paper. The transformation relationship between the viewpoint coordinate and point coordinate in view frustum are inferred, and a method of determining optimization region of quadrilateral meshes based on the viewpoint is expounded. Given the steps of developing openGL graph render method by MFC and its application results, and proved proved thatthat the algorithm is reliable and runs correctly.
Build a "Computer Network Technology" Teaching Model Based on Work Process
Authors: Bi Xiao Ming , Xiong Chun Ru , Zheng Qian Sheng
Published: December 2010

This paper analyzes deficiencies in the course teaching of computer network technology. Combined with the characteristics of computer network-related jobs. this paper builds a Work-process oriented, Work-task Derived “Computer network technology” course teaching model.
Fast Kalman SLAM
Authors: Zhou Wu , Zhao Chun Xia , Zhang Mian Hao
Published: December 2010

When Simultaneous Localization and Map Building is carried out in complex environments, reduction of computational complexity is a key problem. With a view to the high computational complexity of particle filter, a SLAM solution named ‘Fast Kalman SLAM’ is introduced. Adopting the ‘decomposition’ idea in the FastSLAM algorithm, Fast Kalman SLAM factors the joint SLAM state into a path component and a conditional map component. The robot pose is estimated recursively with Mean Extended Kalman Filter (MEKF) or Unscented Kalman Filter (UKF), while the map with Extended Kalman Filter (EKF). Simulative experiments are carried out to evaluate the performance of the presented algorithm. And Simulation analysis is made for the presented algorithm. The experimental results indicate that the new algorithm reduces computational complexity greatly and ensures estimation accuracy at the same time.
Local Adaptive Nonlinear Filter Prediction Model with a Parameter for Chaotic Time Series
Authors: Fang Fen , Wang Hai Yan , Yang Zhou Mu
Published: December 2010

In order to improve the predictive performance for chaotic time series， we propose a novel local adaptive nonlinear filter prediction model. We use a function with a parameter to build an adaptive nonlinear filter in this model, and we train this model with an adaptive algorithm, deduced by the minimum square-root-error criterion and the steepest gradient descent rule. We evaluate the proposed model using four well-known chaotic systems, namely Logistic map, Henon map, Lorenz system and Rosslor system. All the results show a remarkable increase in predictive performance, comparing with the local adaptive nonlinear filter prediction model.
Authenticated Session Key Distribution Protocol with Zero-Knowledge
Authors: Xu Chun Gen , Yang Yan Jiong , Dou Ben Nian
Published: December 2010

Authenticated session key distribution protocol is an important cryptographic technique in the secure communication areas. We present a new method for the authenticated exchange of messages in the three-party case, and abandon the idea of authentication which was finished with encryption and decryption in the Bellare-Rogaway model. Instead, the non-interactive zero-knowledge is applied to our protocol. We give an illumination for some important properties of security and depict a feasible idea of provably security with zero-knowledge.
Research on Key Technologies of LXI Class C Instrument
Authors: Hu Cong , Guan Shi You , Huang Da Wei
Published: December 2010

This paper briefly introduces the features and technical points of the new generation of instrument bus LXI (Lan eXtension for Instrument). Taking the deep study of LXI standard, VXI-11 protocol, RPC principles and SCPI commands as the research base, the structure of LXI Class C instrument is analysized, and the LXI Class C instrument key technologies--discovery mechanism and instrument command interpretation mechanism were especially highlighted. Moreover, the discovery mechanism and instrument command interpretation mechanism were implemented in the platform of S3C2410/Linux embedded system, and were successfully validated through Agilent IO Libraries Suite.
Study of Improved Multiple Discipline Feasible Strategy for Complicated System Optimization
Authors: Long Teng , Liu Li , Li Huai Jian
Published: December 2010

The advantages of global sensitivity equation (GSE) method are firstly pointed out, with which an improved multiple discipline feasible (MDF) strategy based on GSE, denoted as MDF-GSE, is developed. In MDF-GSE strategy, the sensitivity of complicated coupled system is calculated using GSE in a parallel manner, which makes MDF-GSE more efficiency when optimizing complicated coupled system compared with the original MDF strategy. Additionally, the preferable performance in convergence and robustness of MDF is also inherited in MDF-GSE. A conceptual optimization of a training airplane is executed using both MDF and MDF-GSE. The results of quantificational comparison demonstrate that computational efficiency is improved dramatically by using MDF-GSE, which makes required computation cost decreased by about 86%. The optimization time, furthermore, ulteriorly reduced due to the quasi-parallel capability of MDF-GSE. It is indicated that the MDF-GSE strategy can enhance the optimization efficiency for the complicated coupled systems.
Integrated Solving Strategy for Cloud Computing
Authors: Ye Ming , Zhou Jun , Xia Da Fei , Jia Wei Yao
Published: December 2010

Cloud computing, which refers to an emerging computing model where machines in large data centers can be used to deliver services in a scalable manner, has become popular for corporations in need of inexpensive, large scale computing. Recently, However, the study of integrated solving strategy is rare. In this paper, we propose a novel integrated solving strategy for cloud computing. For this purpose, we present cloud computing architectures , platforms, and applications to deliver services and meet the needs of their constituents and information and services supported by this integrated solving strategy. At the same time ,this paper also argues that we focused on cloud computing integrated solving stratrgy is an essential part of the government IT environment.
Implementation of P2P Traffic Identification System
Authors: Yang Shuang , Du Ye , Zhang Ru Hui
Published: December 2010

By analyzing packets of the transport layer and the traffic flow statistic characteristics in the peer-to-peer (P2P) applications, a new P2P traffic identification system is presented. The new method in the system relies on the observation of the first few data packets of a TCP/UDP connection. It not only can identify more P2P applications, but also can identify the known and unknown P2P applications even if the data of them is encrypted. According to the results by passing a large number of tests, the system has higher identify-rate to identify the P2P applications and lower false negative and false positive. It has good effects in the actual network.
On an Internet Interface in an Embedded POS System for Internet of Things
Authors: Xu Ye , Zhao Hai
Published: December 2010

This paper designs and implements an Internet interface in an embedded POS system based on Webit, an embedded platform and interface for Internet of things which is a self-owned intellectual property of Lab. of Embedded Technology, Northeastern University, China. The Internet interface is designed and implemented on an 8-bit RISC micro-controller and Ethernet Network Interface Controller, with a real-time OS – WebitOS 2.0 strictly conforming to TCP/IP protocol requirements. Then experiments of testing functions and the performance of the embedded POS system are performed. And results show that the POS system based on Webit has a practical application value with properties such as low cost, and capabilities of simple network configuration and remote management.
Cooperation Research on Zero-Sum Game
Authors: Li Rui , Xie Neng Gang , Meng Rui , Xu Gang
Published: December 2010

The current studies have shown the necessary condition for cooperation is that cost must be less than benefit and there is no cooperation for zero-sum game in which cost is equal to benefit. Here we design a game model of Parrondo’s Paradox in a biological group, which embodies two kinds of game relationships between individual survival and evolution process: 1) the zero-sum game between individuals is called game A. Game A reflects the competition-cooperation relationship between individuals and we set up six kinds of behaviors, such as cooperation, competition, inaction, harmony, matthew and poor-competition-rich-cooperation; 2)the negative-sum game between individuals and environments is called game B. Game B is divided into two branches with different winning probability according to divisibility relations between the total capital and modulus called M. The results of computer simulation and analysis to game A and game B show that: 1) All manner of cooperation and competition behaviors are the adaptive behaviors .2) Harmony behavior has a low social efficiency and lower average fitness of the population, but it is fair and has a high proportion of population viability, equitable distribution of individual fitness.3) Matthew behavior will lead to individual fitness distribution of the population to a extreme imbalance and bring about a Matthew effect which means " Strong individual has always been strong and the weak individual has always been weak". Matthew approach has a lower proportion of the population living. 4) poor-competition-rich-cooperation behavior has the best adaptability, so cooperation of zero-sum game may be carried out by poor-competition-rich-cooperation behavior.
Fuzzy Biometric Identity-Based Signature in the Standard Model
Authors: Zhang Le You , Wu Qing , Hu Yu Pu
Published: December 2010

Using a biometric as an identity has the advantage that identities are unique if the underlying biometric is of a good quality, such as fingerprints, faces, irises, etc. However, biometric measurements are noisy and the existing identity-based systems cannot be used directly to construct this scheme. The error-tolerance property(Fuzzy) can be used to solve this problem. Based on the error-tolerance property, a new biometric identity based signature scheme is proposed. Our scheme is constructed in the standard model and achieves a strong security-full security. In addition, the security of our scheme is reduced to a generalized assumption-Computation Diffie-Hellman(CDH) assumption instead of other strong assumptions.
SEMG Analysis Basing on AR Model and Bayes Taxonomy
Authors: Yang Guang Ying , Wang San Xiu , Chen Yue
Published: December 2010

This paper introduced a pattern recognition method based on auto-regression (AR) model and bayes taxonomy. The proposed methodology consists of three steps. In the first step, the paper designs a circuit to collect surface electromyography (SEMG) signal. In the second step, Auto-regressive (AR) modeling in time series has been applied on people’s forearm muscle. So, EMG signal is preprocessed using AR-Model to extract features from MES. After calculated the coefficients of and AR model, we distill the AR coefficients as its eigenvector. In the third step, a bayes statistics algorithm is designed to classify the muscle movement of forearm. This paper finds this method has many advantages such as reducing error recognition rate and has a relative good result. It proves that there are some relations between motion pattern and AR coefficients. At the same time, this paper adopts virtual instrument technology to raise accuracy of measurement, reduce the cost and workload.
Phreatic Line Predicted Method-Based SVM for Stability Analysis of Tailing Dam
Authors: Wang Fei Yue , Dong Long Jun , Xu Zhi Sheng
Published: December 2010

Phreatic surface is one of the most important factors to influence tailing dam security degree. Due to the extremely complicated seepage boundary conditions of tailing dam, the calculation results adopting two-dimensional simplified theory may be greatly different from the measured results. It is urgent need of an accurate calculation method to forecast phreatic surface. Based on analysis of affecting factors of phreatic surface in tailing dam, the phreatic surface SVM predicted method is bring forward to predict the phreatic surface. According to the daily observation of phreatic surface, the phreatic surface SVM predicted model obtained. Finally, a tailings dam projects is given to illustrate stability analysis method of tailings dam based on Phreatic predicted Method-based SVM.
KF-MA Model for Short-Term Traffic Flow Prediction Based on SCATS Data
Authors: Wu Wei , Liu Hao De , Zhou Wei Gang
Published: December 2010

Aimed at the typical problems of lower accuracy and efficiency by using traditional Kalman Filtering (KF) to model the SCATS data, a KF model based on Moving Average (KF-MA) is put forward, that is, to find out the Markov properties of the SCATS data by Moving Average model at first then model the data by Kalman Filtering. Taking the SCATS data in Hang-Zhou as an example, the KF-MA model is compared with the Time Serial (TS) model, the Time Serial model based on Moving Average (TS-MA) and the KF model. The result shows that KF-MA model can maximum elevate the computational efficiency by reducing parameters need to solved in the traditional KF models. Moreover, compared with other models, KF-MA model has better predicted accuracy.
Estimation of Doppler Parameter for Formation-Flying Satellite SAR System
Authors: Zong Zhu Lin , Hu Jian Hao , Zhu Li Dong
Published: December 2010

In formation-flying satellite SAR system, especially the satellites are LEO or MEO, Doppler frequency shift of SAR echo has a character of long-range changes and quick time variation. Because of this, imaging with high quality become difficulty. Based on the theories and methods of universal gravitation, the relative positions and velocities between every satellite and the ground detection center can be computed, then the Doppler frequency shift for formation-flying satellite SAR system can be estimated that only need to known the parameters of satellite orbit, the working frequency and the azimuth of antenna of master satellite radar. The simulation results show that by using this method, the scope of Doppler frequency shift can be reduced to a very small range, about two in a thousand compared to original echo.
Multi-Objective Optimization Algorithm for Instrument Integrated Development
Authors: Wu Guo Xin , Xu Xiao Li
Published: December 2010

The integrated technology is the main way for the instrument development. The combination of networked collaborative design and multi-objective optimization method, considering the different product design and development of individual fitness degree, to provide the best integrated development for the product solution. The system of Flexible integrated knowledge management was built for networked collaborative design. The system architecture is flexible hub, to support the collaborative development of decision-making and optimal design of innovative integrated development. Innovative multi-objective optimization algorithm also was established based on networked collaborative design. It is realized to obtain fast convergence of the optimal solution set for Knowledge groups. The individual goals, to achieve the optimal design of integrated development, were achieved.
Computer Aided Lung Nodule Detection on CT Data
Authors: Jia Tong , Wu Cheng Dong , Wei Ying
Published: December 2010

A new computer-aided detection (CAD) scheme for detecting lung nodules is proposed in this paper. Firstly, the lung region is segmented from the CT data using adaptive threshold algorithm etc; Secondly, building active contour model to segment and remove lung vessel accurately in the lung region; Next, suspicious nodules are detected and omitted renal vessel is filtered using a selective shape filter; Finally, nodule features are extracted and rule-based classifier is used to distinguish true or false positive nodules. Experiment results indicate that this scheme can help radiologist improve the diagnosis efficiency.
Research on Innovative Talents Training Mode Based on Off-Campus High-End Practice Environment
Authors: Dong Jian Li , Wu Jun Ming , Li Cun Hua , Shi Jun
Published: December 2010

Through an analysis of the advantages and disadvantages of current undergraduate professional talents training modes and traditional examination-oriented education system, the importance of the vantage teaching resources complementation between the off-campus high-end practice environment and the in-campus innovative talents cultivation system is studied and discussed. At the same time, the new problems that how high-end courses teaching method, management mechanism and knowledge system will be naturally suited and extended to outside high-end practice environment and training organization are addressed. These problems must be systemally resolved through reformation, and some key thoughts and methods resolved these problems are introduced in this paper. These thoughts and methods have a good reference for Chinese higher education at present.
A Kind of Automatic Verification Apparatus for Dial Indicator
Authors: Wang Hong Min
Published: December 2010

A new type of automatic verification apparatus based on image recognition is put forward in this paper. Data are acquired by CCD camera through digital image processing. The length reference is provided by the precision grating. Verification and data processing are completed by computer. The apparatus has features of high accuracy and precision, good reliability, efficiency and convenience in operation. The errors caused by artificial factors are lowered.
Road Surface Identification Approach Based on Vehicle Dynamic Parameters
Authors: Wang Bo , Sun Ren Yun , Liu Xi Ming
Published: December 2010

Road surface adhesion condition identification has major impact on playing the various active safety automotive electronic control devices’ performance as much as possible, the vehicle model with 7 degrees of freedom is established with the application of magic formula tire model and engine model in this paper. By comparing the real-time vehicle dynamic parameters with 6 kinds of typical road characteristics when a vehicle accelerates or brakes, the current road surface type is determined. A road surface identification simulation is carried out when an automobile accelerates on uniform road and brakes on split road by using MATLAB/Simulink software. Finally, a bench test is done to prove the validity of this approach. It is showed by the simulation results that the actual road surface type and the identified road surface type are in good agreement. It can be used for active safety automotive electronic control devices’ road surface identification.
A Simulation Study on Choquet Integral with Respect to Extensional L- Measure
Authors: Yao Hsu Chan , Liu Hsiang Chuan , Jheng Yu Du
Published: December 2010

In this paper, an Monte Carlo simulation study method with 5- fold cross-validation MSE is used, a simulation experiment data and a real data set are conducted, for comparing the performances of a multiple linear regression model, a ridge regression model, and the Choquet integral regression model with respect to two well-known fuzzy measures, P-measure and λ-measure, and two new fuzzy measures proposed by authors’ previous works, L-measure and extensional L-measure, respectively. Both of the results show that the Choquet integral regression model with respect to extensional L-measure has the best performance.
Order-Variable Multi-Pulses Linear Prediction Speech Coding
Authors: Li Jian Lei , Ma Zhen , Wu Ming Zhao
Published: December 2010

On the base of all-poles model, this paper provides order-variable all-poles model according to instability of track complexity and applies this model in Multi-pulses linear prediction speech coding. This method is simulated in Matlab and quality of synthesized speech is evaluated, order-variable model is founded to keep better speech quality on the base of decreasing coding rates.
An Equilibrium Principle on the AON Network for Single-Machine Scheduling Problem with Time Lags
Authors: Yu Chun Yue , Luo Xiao Chuan
Published: December 2010

The NP-hard single-machine scheduling problem with time lags while minimizing the completion time could be described with an AON (Activity-On-Node) network. An equilibrium principle was discovered and proved on the AON network for single-machine scheduling problem. As a testing problem, plate hot rolling scheduling is a type of single-machine scheduling problem with time lags. For the scheduling problem, a nonlinear mathematic optimization model, which maximizes utilization of the rolling mill, was established based on the equilibrium principle and was solved by software LINGO. Computation examples demonstrated that the new method could solve effectively the single-machine scheduling problem with time lags by equilibrium principle on the AON network.
A Novel Efficient Mining Algorithm for Frequent Patterns on Biological Multiple Sequence
Authors: Liu Wei , Chen Ling
Published: December 2010

In order to overcome the shortcomings of traditional algorithms, the algorithm MSPM was proposed. It used longer patterns for mining, which avoided producing lots of patterns with short length. Meanwhile by the use of prefix tree of primary frequent patterns, we extended the primary patterns which avoided plenty of irrelevant patterns. The experimental results show that MSPM not only improves the performance but also achieves effective mining results.
Prediction Analysis of Electromagnetic Interference Based on Gray Prediction Theory
Authors: Zhang Hui Juan , Wang Yan Ting , Wang Shi Tao , Wu Meng
Published: December 2010

The paper introduces a new method for prediction of electromagnetic compatibility in the power system, and use the Electromagnetic simulation software ATP. By comparing the actual test results to the simulation results, it is proved that electromagnetic transient simulation is reliable and effective. It also introduces the Gray prediction theory to predict the next Electromagnetic Interference (EMI) of the substation. It is high practical to research and analyze the substation electromagnetic compatibility, and feasible to use the Gray prediction theory with multivariable for the model EMI prediction analysis.
Condenser Fault Diagnosis Based on FNN and Data Fusion
Authors: Xia Fei , Zhang Hao , Peng Dao Gang , Li Hui , Su Yi Kang
Published: December 2010

In order to improve the fault diagnosis result of the condenser, one new approach based on the fuzzy neural network and data fusion is proposed in this paper. Firstly, the data from the various sensors can be processed through the specific membership functions. With the fault symptoms and fault types of condenser, the fuzzy neural network is constructed for the primary fault diagnosis. Some likelihood of the neural network outputs is too close to make the correct decision of fault diagnosis. The problem can be solved by the data fusion technology. This method was successfully adopted in the application of condenser fault diagnosis. Compared with the general method of FNN, this approach can enhance the accuracy in the domain of fault diagnosis, especially for reducing the uncertainty in the fault diagnosis.
Research on Maximum Profit of the Supply Chain under E-Commerce Environment
Authors: Zhang Jiang Hua , Gao Zhen Juan , Sun Can
Published: December 2010

According to various reports, E-Commerce has been developing rapidly in China. Under this circumstance, companies are faced with the choice of whether to shift to the E-supply chain from the traditional one. In this paper, literature on supply chain are reviewed first, followed by the modeling of profit function of individual firm in the supply chain and the whole supply chain by taking investment scale on E-Commerce as a variable and the setting sales quality as a function which depends on both the retail price and investment scale on E-Commerce. Additionally, this paper also demonstrates the existence of supply chain’s maximum profit, and finally put forward further research directions.