bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Fracture Behaviors of 20g Steel under Short Period High Temperature and Thermal Shock Condition
Authors: Chen Nai Chao , He Ping , Chen Tian Yu , Shen Yu Jie
Published: March 2011

The fracture properties of 20g steel used as one of boiler materials, after undergoing the heat treatment of short period high temperature and thermal shock, are investigated by evaluating their fracture toughness using the crash opening displacement (COD) and three-point bending test experiment. Meanwhile, the orthogonal test consisting of five temperature stages and four different durations of thermal shock is used to explore the relationships between fracture toughness and temperature or duration. The experimental conclusions show that thermal shock plays a more significant role on affecting the fracture properties, compared with the factor of temperature. Reducing the duration, especially at the high temperature, is useful to inhibit the decrease of fracture toughness. The ranger analysis illustrates that the lower temperature does not have the beneficial effect on the fracture behaviors. Furthermore, the experimental results facilitate providing the valuable reference on the effective safely management of utilize boiler.
Flaking Failure in Silicon Nitride under Reciprocating Rolling Contact Fatigue
Authors: Kida Katsuyuki
Published: March 2011

Previous researchers investigated the failures of ball surfaces of silicon nitride bearings from the viewpoint of the ring crack model. They explained the process of flaking failures in terms of surface semi-circular cracks which grew by the stresses around the circumference of the contact circle. However, contrary to their explanation, we found that the ring crack model did not explain the process of the flaking failure of plates. In the present work we compare the growth directions of surface and subsurface cracks in order to find out which crack is more dominant in the process of the flaking failure. We carried out reciprocating-rolling contact fatigue (RCF) tests and concluded that the directions of arcs formed by the semi-circular surface cracks were dominated by subsurface crack growth direction.
Effect of Sliding Speed on Wear Property of Al2O3-SiO2(sf) / AZ91D Composite
Authors: Liu Guan Jun , Ning Xin , Zhang Wen Qing , Yu Ze Tong
Published: March 2011

AZ91D alloy matrix composites(MMCs) with volume fraction of 15%, 20%, 25% and 30% were prepared with the preform made of crystallized aluminum silicate short fibers as reinforcement and aluminum phosphate as binder by squeezing casting at high temperature. Dry sliding wear properties of the composites were tested by means of MM200 wear tester (block-on-ring configuration) against a hardened alloy steel counterface with hardness of 53HRC under loads of 10N, 20N, 30N, 40N and 50N and sliding speed of 0.47m/s and 0.92 m/ s, and wear morphology of the specimens was observed by SEM (scanning electron microscope). The results reveal that effects of sliding speed on wear rate of the composites are greater and more complex than on those of the AZ91D matrix alloy, which is closely related to not only volume fraction in the composites but also applied loads.
Effect of Ball Milling on Mechanical Properties of Graphite/Copper Matrix Composites
Authors: Jin Yong Ping , Hu Ming
Published: March 2011

3wt% graphite/copper matrix composites had been prepared after mechanical ball milling, pressing, vacuum hot pressed sintering and hot extrusion. With tensile test, hardness test and impact test, utilizing material testing machine, Vickers hardness tester, impact machine, optical microscope and scanning electron microscopy, effect of milling time on mechanical property of graphite/copper matrix composites had been investigated. The results show that after mechanical milling and hot extrusion, microstructure had been refined, distribution of graphite phase and cohesion between copper and graphite had been improved, mechanical locking force between copper matrix and graphite, tensile strength and hardness of composites had been increased. Elongation percentage and impact absorption work are less resulting from work-hardening during ball milling.
Numerical Simulation of Vertical Extrusion Process of Large-Sized Seamless Steel Tube with Thick Wall
Authors: Zhang Jian , Wang Xiao Lan , Song Jian Hua , Jin Xue Qin , Wang Zhi Hua
Published: March 2011

The software of finite element simulation DEFORM-3D was used to simulate the extrusion process of the large diameter thick wall seamless steel tube, and the effective stress and load curves were analyzed in the situation of different concave die mould cone Angles. The simulation results show that with the increase of deformation degree, the effective stress and load of the blank increased gradually first and then reached a plateau. With the increase of the concave die mould cone Angle, the load of top die decreased.
Microstructural Characterization of “New” 2.5D Woven Reinforcement Materials
Authors: Zhang Dian Tang , Sun Ying , Hai Wei , Chen Li , Pan Ning
Published: March 2011

Based on the photographic observation and analysis of different cross section of the materials, it is found that both the section of normal and warp yarns are rectangular in shape, the sections of weft yarns are the convex lens in shape, the weft and normal yarns are kept straight along their directions, the warp yarns are wavy. 3D images and geometry model of normal yarns reinforced 2.5D woven materials are established. This model can be used to calculate the fiber volume fraction of each yarn system. Compared with the experimental data, the computational results show excellent agreement. The work will lay the foundation for prediction of mechanical properties.
Wear Resistance Improvement of Titanium Bearings by Laser Gas Nitriding
Authors: Rozwadowska Justyna , Kida Katsuyuki , Santos Edson Costa , Honda Takashi , Koike Hitonobu , Kashima Yuji , Kanemasu Kenji
Published: March 2011

The influence of gas nitriding of commercial pure titanium and Ti-6Al-4V (Ti64) alloy by using a Q-sw laser on the wear loss during rolling contact fatigue is investigated. Despite very good biocompatibility, high strength to weight ratio and corrosion resistance, the tribological properties of titanium alloys are inferior to those of other metal alloys, such as steel. Fretting and wear related aspects become important issues when titanium alloys are used in rolling contact applications. Titanium bearings are employed in applications requiring high strength, light weight, and minimum maintenance (for example, aerospace and defense industries). In this work, a Q-sw laser was used to coat pure commercial titanium and Ti-6Al-4V bearings with TiN in a closed chamber in nitrogen atmosphere. The samples were tested under water by using a thrust-type rolling contact fatigue machine. The microstructure, morphology and crystallographic texture of the layers were observed by laser confocal microscope, scanning electron microscope and electron backscatter diffraction (EBSD). By optimizing the laser processing parameters, such as laser scanning speed, power and beam diameter, thin TiN coats of 1 to 3 m were produced. The wear loss of the coated samples was at least ten times lower than that of the uncoated bearings.
A Locality-Aware Peer Searching Scheme to Support VCR Functions in a Mesh-Based P2P VoD System
Authors: Zou Hua , Hou Jin Xuan , Lin Rong Heng , Yang Fang Chun
Published: March 2011

With the wide penetration of broadband access, it is desirable to provide supporting user interactivity services such as Video-on-Demand (VoD). However, this introduces a challenge on how to efficiently support Video Cassette Recording (VCR) functions for VoD services in Peer-to-Peer (P2P) network. In this paper, we propose a locality-aware peer searching algorithm, called LAPS. In LAPS, peers are distributed in various areas by its physical location. For each peer, it could implement relocation of forward seek based on neighbors’ and trackers’ information. To decrease the backbone load, LAPS dedicated to download media content from local area. We explore several key issues in LAPS including overlay organization, three various situations of forward seek with neighbor circle. We evaluate its performance through simulations and compare it with existed system. The results show that LAPS is superior to a previous scheme in terms of latency and backbone load.
Digital DC Speed Control System in Mine Hoist Application
Authors: He Rui , Ge Yun Ping
Published: March 2011

Mine hoist shoulder important transport tasks. Through the analysis of the main circuit of mine hoist, this paper studies out ASCS digital DC speed control system whose core is microprocessor and whose hardware part constitutes digital trigger and double closed loop system. The software part not only achieves the system's digital PI regulator, logic switching, digital trigger phase shift, pulse channel selection and pulse width setting, but also realizes the systematic detection, monitoring, fault diagnosis, which improves the control precision and work stability of the system.
An Interpolation-Based Fuzzy Controller for Load Control of Ball Mill Pulverizing System
Authors: Cao Hui , Jia Li Xin , Si Gang Quan , Zhang Yan Bin
Published: March 2011

For ball mill pulverizing system is one of important assistant equipment of a thermal power plant and has high energy consumption, an interpolation-based fuzzy controller for load control of ball mill pulverizing system is proposed in the paper. The proposed controller is based on fuzzy control strategy and the Newton interpolation algorithm is adopted to improve the control precision. Moreover, the proposed controller obtains the final output according to the interpolation calculation of the neighboring antecedents of the observation with considering the distance between the observation and its neighboring antecedents. Experiments results verify that the proposed controller could realize the load control of the ball mill pulverizing system effectively and has higher control quality.
Exponential Stability of Numerical Solutions to a Stochastic Delay Neural Networks
Authors: Zhang Qi Min
Published: March 2011

The main purpose of this paper is to develop a numerical Euler scheme and show the convergence of the numerical approximation solution to the true solution for stochastic delay neural networks. The definition of exponential mean square stability of numerical method is introduced. It is proved that the Euler scheme is exponentially stable in mean square sense. An example is given for illustration our result.
Study and Application of Web Crawler Algorithm Based on Heritrix
Authors: Liu Dong Fei , Fan Xian Shuang
Published: March 2011

In this paper, the web crawler in search engine was introduced firstly, based on the detailed analysis of the system architecture about open source web crawler Heritrix, proposed design of a particular parser, parsed the particular web site to achieve the purpose of particular crawl. Then by eliminating the impact on individual processors caused by robots.txt file, and introduced the ELFHash algorithm implements the purpose of efficient, multi-thread access to the web crawler resources. Finally, by the comparison of the speed of crawl web page between before-improved and after-improved, and the analysis of the number of crawled pages in the same long time, verify the performance of the after-improved web crawler has been more obvious increased.
Based on Information Fusion Integrated Wavelet Neural Network Fault Diagnosis
Authors: Cui Dong Yan , Xie Zai Xing
Published: March 2011

In this paper, the integration of wavelet neural network fault diagnosis system is established based on information fusion technology. the effective combination of fault characteristic information proves that integration of wavelet neural networks make better use of a variety of characteristic information than the list of wavelet neural networks to solve difficulties and problems which are difficult to resolve by a single network.
The Application of M-Ary Quantum Evolutionary Algorithm in Bit and Power Allocation for OFDM System over the Power Line
Authors: Zhang Tao , Zhang Rui , Liu Yue Jun , Yang Cheng
Published: March 2011

Adaptive resource allocation in orthogonal frequency division multiplexing (OFDM) systems is a very promising technique to improve spectral efficiency. According to actual transmission behavior of the channel environment over low voltage power line, M-ary Quantum Evolutionary Algorithm (MQEA) is proposed to allocate bit and power on different sub-carrier channel, which maximizes the total data rate of the system in a downlink transmission with a total power and bit-error rate(BER) constraints. Simulation results show that the proposed algorithm achieve a higher data rate.
Researching a Coupled Simulation Strategy of SVM-Based Storm Surge Prediction Model and GIS
Authors: He Shi Jun , Zhou Wen Jun , Zhang Yu , Chen Zhong Hua
Published: March 2011

Aiming at the difficulties from adopting numerical calculation to solve storm surges at specific geographic, a coupling method of Support Vector Machine (SVM)-based storm surges prediction model and GIS was proposed in this paper. Utilized the powerful function provided by GIS including spatial analysis and data support, and rich graphic expression, combined with the advantages of model at the remarkable ability of numerical solution and analysis and forecasting, it can present spatial correlation and trends of spatial changes. The coupled result shows the spatial and temporal distribution chart of storm tide, which, to a certain degree, increased the analytical capabilities of MGIS and the ease of the model.
An Auto-Adaptive GA-PID Control Method Based on CMAC Net
Authors: Yue Wei Qiang , Jin Li Qiang , Song Chuan Xue
Published: March 2011

This paper aimed at solving the difficulty of nonlinear process control by classical PID controller. The author structured a GA-PID controller taking advantage of the multipoint optimizing and fast compute speed of GA, which can get the optimal PID parameters by on-line turning. At the same time, the author introduced a CMAC feed-forward controller which make full use of the high precision to approach nonlinearly object of CMAC. Combine them, a concurrent pattern control method appear, which synthesize advantages of two controllers and is more fit for nonlinear process. The simulation result indicated that the method has high accuracy and good robustness.
Convergence of Numerical Solutions to Stochastic Delay Neural Networks with Poisson Jump and Markovian Switching
Authors: Yue Hong Ge , Zhang Qi Min
Published: March 2011

In general stochastic delay neural networks with Poisson jump and Markovian switching do not have explicit solutions. Appropriate numerical approximations, such as the Euler scheme, are therefore a vital tool in exploring their properties. Unfortunately, the numerical methods for stochastic delay neural networks with Poisson jump and Markovian switching (SDNNwPJMSs) have never been studied. In this paper we proved that the Euler approximate solutions will converge to the exact solutions for SDNNwPJMSs under local Lipschitz condition. This result is more general than what they deal with the Markovian switching term or the jump term.
Development of Parallel Regenerative Braking Controller
Authors: Zhang Jing Ming , Du Wei Nan , Wang Xiu Hu
Published: March 2011

In order to improve hybrid electric vehicle’s energy efficiency, this paper did a research on the regenerative braking system of HEV. In this paper we proposed a new parallel regenerative braking control strategy for HEV and analyzed its characteristics in details. Based on theoretical analysis, we developed a parallel regenerative braking controller for a certain HEV, and built hardware-in-the-loop simulation system to test the controller’s performance. We chose the UDDS driving condition for simulation, and the result shows that the regenerative braking controller we developed is effective and reliable. The controller fulfills the parallel regenerative braking control strategy and distributes the braking force accurately. The energy recovery efficiency reaches 16.7%, which significantly improves the vehicle’s energy efficiency.
Configuration of Multi-Tenant Applications
Authors: Zhang Sheng Wen , Wang Xuan Peng
Published: March 2011

SaaS (Software as a Service) application mode came into being along with the expansion and convenient of the network platform, and its core lies in Multi-Tenant (multi-tenant) application. Multi-Tenant Application under the SaaS model makes software applications efficient and convenient, more importantly, tenants can greatly reduce their software development costs, hardware acquisition costs, training costs, and upgrade and maintenance costs by using the application system, which virtually eased business cost pressures and makes more focus on business development. This paper elaborates the personalized needs of tenants for Multi-Tenant Applications mainly from the three aspects: data, function, and interface. With the configuration of data, function and interface, Multi-tenant applications will become better.
Numerical Study of Welding Sequence on the Residual Stress Field in a Thick-Walled Tee Joint
Authors: Jiang Wei
Published: March 2011

Finite element simulation is an efficient method for studying factors affecting weld-induced residual stress distributions. In this paper, a validated three-dimensional finite element model consisting of sequentially coupled thermal and structural analyses was developed. Three possible symmetrical welding sequences, i.e. one-welder, two-welder and four-welder sequence, which were perceived to generate the least distortion in actual welding circumstances, were proposed and their influences on the residual stress fields in a thick-walled tee joint were investigated. Appropriate conclusions and recommendations regarding welding sequences are presented.
The Research on Nonlinear Diagnosis Methods of Vibrating Screen Crack
Authors: Xiong Xiao Yan , Zhang Miao , Li Xiao Ping , Yu Shao Juan
Published: March 2011

Based on chaotic characteristics in vertical direction of vibrating screen sides, nonlinear methods were proposed to diagnose crack of vibrating screen. First phase space maps were got in different conditions of vibrating screen, and the correlation dimension of signals were calculated. Through the comparison, the author proved that the equipment had different nonlinear characteristics in different work condition. Meanwhile, a three-dimensional spectral analysis method was proposed and validated based on neural network identification model.
Design and Realization of Smart Home Control System Based on S3C2440
Authors: Wang Long Yuan , Liu Quan
Published: March 2011

A Smart home control system based on S3C2440 and Windows CE was designed, which combined with 433MHz/315MHz wireless network and Wi-Fi module. The designed system can not only realize several local wireless controlling modes of the home appliances, but also implement remote control and monitoring via Web pages and telephone. Through the proper chip selection and circuit design, the penetration capability of the wireless signal was enhanced, the power dissipation and the cost of system were reduced. Moreover, with the humanized design of the software, the operation of system is more simple and convenient.
A Study on the Security Issues and Solution of Electronic Commerce
Authors: Dong Ya Hui , Li Wei , Guo Xu Wen
Published: March 2011

As a new business model, e-commerce has great prospects for development. Meanwhile, such an e-business model has put forward higher requirements for the management level and the technology of transmitting information, and the construction of security system is particularly important. How to create a safe and convenient application environment for e-commerce, and providing adequate protection of information are the issues concerned by companies and users. Firstly, this thesis puts forward the existing safety risks of e-commerce in China. Then, their causes are analyzed. Finally, the relevant conclusions are drawn from the perspective of technology, legal, security management and network morality.
The Industry Combination Selection Method in Diversified Investment of Power Generation Group
Authors: Liu Chong Ming , Wang Yue
Published: March 2011

Diversification of investment is an important part of corporate strategy. In this paper we studied diversified investment. Firstly, we made a classification of industries according to the growth potential. We also discussed the decision-making problems of industry combination in diversified investment with the aim of maximizing the growth rate-risk ratio. At the end of the paper, we put the case in power generation group as an example explanation. In the case, we found that power generation group bringing diversified investment into effect can achieve the goal of the group.
MRI Denoising Based on a Non-Parametric Bayesian Image Sparse Representation Method
Authors: Chen Xian Bo , Ding Xing Hao , Liu Hui
Published: March 2011

Magnetic Resonance images are often corrupted by Gaussian noise which highly affects the quality of MR images. In this paper, a Non-Parametric hierarchical Bayesian image sparse representation method is proposed to wipe out Gaussian distribution noise coupling in MR images. In this method a spike-slab prior is imposed on sparse coefficients, and a redundant dictionary is learned from the corrupted image. Experimental results show that the method not only improves the effect of MRI denoising, but also can obtain good estimation of the noise variance. Compared to non-local filter method, this model shows better visual quality as well as higher PSNR.
SPWM Inverter Closed-Loop PID Control System
Authors: Chen Ying
Published: March 2011

Along with the development of power electronic technology, various inverters are widely used in all sectors. the advanced modern control theory and methods have been applied in the inverter, which made the stability and reliability for the inverter have improved greatly. In this paper analyses the working principle for SPWM inverter that used voltage and current cut-loop PID control strategy, in the voltage loop and current loop make use of its transfer function to both no-load and full load conditions for digital simulation, and get different Bode diagrams, meanwhile also analyses the different simulation results for system that without add PID controller and join PID controller, with the analyze results can determine the open-loop frequency characteristics of various parameters for the closed- loop system, and to ensure the output inverter to achieve the intended targets.
Design of the Multi-Sensor Target Tracking System Based on Data Fusion
Authors: Yao Ya Chuan , Yao Yi , Zhang Ren Yi , Han Qiang
Published: March 2011

The paper is about designing fusion tracking system based on multi-sensor information processing which combined with data fusion. It solves the multiple sensor nodes collaborative work problems of the target tracking system, which makes wireless sensor networks can process a large number of instantaneous data in time. Its practicability becomes strong after practicing and simulating.
A Configurable Platform of Application System and its End-User-Oriented Configuration-Developing Pattern
Authors: Zhang Sheng Wen , Li Zhao Hui
Published: March 2011

This paper put forward a Configuration Platform of Application System (CPAS), illustrated the reuse of component and the end-user-oriented configuration-developing pattern based on CPAS. It helps to customize the Business ActiveX, upload project files and register the business component, create database, and faces the end-users whose demands are changing dynamically, implements the application system agilely and efficiency, and increases the maintenance, reconstruction and extensibility of the application system.
The Modified Temperature Field of Ceramic Roller Kiln Based on DEPSO Algorithm
Authors: Huang He , Chen Xi Shen , Lei Hong , Li Zhuo Qiu , Li Wu Gang
Published: March 2011

The relationship between ceramic roller kiln simulation model building parameters and temperature field uniformity is extremely difficult work. In this paper, DEPSO-CFD, a system integrated of an algorithm of hybrid particle swarm (PSO) with Differential Evolution (DE) operator, termed DEPSO, and computational fluid dynamics (CFD), is proposed to meet the demand. And with the help of the efficient parallel calculation, the ceramic roller kiln temperature field uniformity is mainly researched by using Fluent and DEPSO algorithm. It proves that the system is of high speed and of excellent parameter exploration capability, and the final computational example is got; thus parallel-DEPSO-CFD is of great academic value and significant applicable value.
Analysis and Study on the Components of Starch and Wood Fiber Biodegradable Foam
Authors: Li Chen , Xiao Sheng Ling , You Shi Zhou
Published: March 2011

Experiment design is to find the main influence factors through analysis of initial experiment data, which is an important foundation to further experiment .This paper studies a kind of biodegradable foam packaging material. It is composed of starch and plant fiber and PVA as raw materials by molding. Using of uniform experimental design method obtains the experimental program. And applying SAS software, selecting stepwise linear regression method analyzes on the experiment results. Analysis results indicate that the contents of starch, fiber and PVA have significant influence to material tensile strength and establish the regression model. This research lays the foundation and provides the theories basis for further studies.
Study on an Information Process System for Appraising Key Construction Projects’ Risk
Authors: Zhao Hui , Chen Li Ming
Published: March 2011

The paper presents an information process system for appraising key construction projects’risk. Based on analytic hierarchy process (AHP) and principal component analysis（PCA）, and, with the help of software R, An information process system for appraising key construction projects’risk is developed in this study. A case is used to demonstrate the application of this system.
Mass Customization Product Cost and its Optimization Model Based on Modern Control Theory
Authors: Li Ren Wang , Cheng Jun Le , Wu Xin Li , Mo Can Lin
Published: March 2011

From the point of view of resistance, inductance and capacitance in physics, this paper firstly analyzed the similarities of their characteristics to various Mass Customization (i.e. MC) product costs, under the idea of overall product. Then, the conversion model between them was set up according to these similarities. Through making using of the system description method in Modern Control Theory, the system state equations of RLC series circuit were introduced. And meanwhile, the MC product cost optimization model based on Modern Control Theory was set forth. Finally, an example was given to illustrate the method put forward here, and some effective results were obtained.
Bayesian Diagnostic Network Model for Sliding Plug Door
Authors: Shi Hui Chao , Tian Long , Wang Liang
Published: March 2011

For constructing Bayesian diagnostic network model of complex system is a difficult course, we propose a Bayesian network model auto-construction method based on expert system knowledge base. Bayesian diagnostic network model was built by using the CM structure, and the diagnostic knowledge was organized by product structure tree. We have applied this method to fault diagnosis for sliding plug door, and tested our methodology on many examples of diagnostic problems of sliding plug door, which prove the efficiency of the Bayesian diagnostic network model and model-building method．
Classification with Local Clustering in Imbalanced Data Sets
Authors: Ji Hua , Zhang Hua Xiang
Published: March 2011

In many real-world domains, learning from imbalanced data sets is always confronted. Since the skewed class distribution brings the challenge for traditional classifiers because of much lower classification accuracy on rare classes, we propose the novel method on classification with local clustering based on the data distribution of the imbalanced data sets to solve this problem. At first, we divide the whole data set into several data groups based on the data distribution. Then we perform local clustering within each group both on the normal class and the disjointed rare class. For rare class, the subsequent over-sampling is employed according to the different rates. At last, we apply support vector machines (SVMS) for classification, by means of the traditional tactic of the cost matrix to enhance the classification accuracies. The experimental results on several UCI data sets show that this method can produces much higher prediction accuracies on the rare class than state-of-art methods.
Macromedia Flash-Based Animations for Teaching of the Digital Signal Processing Principles
Authors: Ubul Kurban , Ubul Guljamal , Aysa Alim
Published: March 2011

Digital Signal Processing (DSP) is an important and growing subject area in Electrical/Computer Engineering (ECE), Computer Science and other Engineering/Science disciplines. Since 1997, the authors have taught an undergraduate DSP courses at Xinjiang University (XJU). While the subject of DSP has become very popular with ECE students and with the growing DSP job market, the subject matter is still considered to be a difficult and complex one for students. This paper presents an approach to teaching DSP basic concepts using a platform which developed by the tool, Macromedia Flash. The authors of XJU had enhanced the learning experience for their students by adding the platform to their class offering to reduce the difficulty of understanding the theoretical DSP.
The Economics of Information Security Investment
Authors: Wang Heng
Published: March 2011

Information security is a continuously changing discipline that requires continuous adaptation to new and ever-changing information security threats, countermeasures and the global business landscape. This calls for decision makers to become vigilant in their spending and move towards an optimised information security investment. This paper gives a brief overview on the economics of information security and discusses related work on information security investment. The main aim of this paper is to provide decision makers with a set of requirements to be considered when implementing a cost-effective and optimal information security budget; in a manner that preserve organisations’ information security posture and compliance status.
Integrated GPS and QRCode in Personalized Mobile Learning System Based on Rocommendation Mechanism
Authors: Yao Ching Bang
Published: March 2011

With the fast development of personal communication network and mobile technology, various mobile communication applications have already been incorporated into our life. Therefore, the mobile learning is becoming a hot issue too. This paper combines the mobile network with the GPS technology to use the characteristic of fast input of QR-Code technology taking action in study, and utilize the data mining technique which extracts from the learner’s e-portfolio data to achieve the learners to enjoy and get the suitable and individualized study teaching material whenever and wherever possible. And we will focus on how to fully develop the fast and large memory ability of the QR-code to combine the analysis of the learner’s learning records into the m-learning to provide the real-time recommending learning materials. Finally, through some experiments about some different QR-code input efficient and correct we found the certainly and greatly improved the learning results through our personalized mobile learning system.
Application of Intelligent Algorithm to Transformer Optimal Design
Authors: Zhang Shuang , Hu Qing He , Wang Xing Wei
Published: March 2011

The paper studies transformer optimal design, establishes optimal transformer model based on total owning cost. It adopts penalty function to process objective function with weighted coefficients. For prematurity and low speed of convergence of Simple Genetic Algorithm, improved adaptive genetic algorithm is adopted. It increases crossover and mutation rates, and improves fitness function. It is adopted to search for minimum total owning cost of transformer. The result shows that the algorithm performs well, increases converging speed and betters solution.
A Research on Complex FastICA Algorithm Based UNB Signal Detection
Authors: Zhang Shi Kai
Published: March 2011

Spectrum is limited, in order to develop high efficient modem, Complex FastICA algorithm is studied about its potential use in UNB signal detection. First, principle of Complex FastICA is presented, kurtosis and cost function are analyzed, and realization of Complex FastICA is given; then, M-EBPSK modulation method is supposed as a kind of UNB modulation format, UNB-ICA model for UNB received signal with interference and noise is presented by analyzing the characteristics of M-EBPSK modulation; finally, computer simulation is done by using nosy UNB-ICA model based on Complex FastICA Algorithm, the experimental results show that Complex FastICA Algorithm can suppress the interference and improve detection BER in contrast to the traditional methods, it is hopeful that the method can be used in UNB communication technology.
Study on Relation between Agriculture Production Factors and Agricultural Economy Growth
Authors: Wang Xiao Mei
Published: March 2011

As a large agricultural country, national economy as well as its social stability, development and modernization are influenced fundamentally by agricultural. Based on the views of agriculture production factors, this thesis Select land, labor, capital as indexes. In empirical analysis, it first carries out linear regression analysis and detects the agricultural economy and its influencing factors.
Partial Friction Fault Diagnosis of Electrical Submersible Pump Based on Support Vector Machines
Authors: Yao Cheng , Li Ming Zhong , Liu Guang Fu
Published: March 2011

Exact diagnosis of electrical submersible pump （ESP）partial friction fault may avoid magnitude economic loss. Three-dimensional vibration accelerations of ESP were measured with acceleration transducer. Since working well ESPs are deeper in the earth, vibration signals seriously fade. This paper proposed that SVM is employed as classifier and wavelet parameters as features for ESP partial friction fault diagnosis. After SVM parameters selection with grid method, the highest recognition rate is up to 86.7%. Results indicate that SVM is competent not only for small sample recognitions but also for recognitions based on faintness signal. A new method is provided for ESP partial friction fault diagnosis.
Algorithm of Disambiguation and Matching of Chinese Word Segmentation in Connected Strategies Research
Authors: An Jun Xiu , Huang Jian , Yu Wei
Published: March 2011

The Chinese Word Segmentation technology is belonged to the category of technology of natural language management. Academies which studying Chinese Word Segmentation are mostly Research institutions such as Tsinghua University, Peking University, Chinese Academy of science, Beijing Language And Culture University, Northeastern University, Research Institute of IBM, and Research Institute of Microsoft (China), etc. Firstly, the essay analyze and compare the measurements of operation complexity and Algorithm capability of Chinese Word Segmentation in the dimension of Lucene open source’s environment, and also technologies of Chinese grammar analysis used by Chinese Academy of science. We are going to put forward the algorithm of disambiguation and matching of Chinese Word Segmentation in connected strategies based on the studying of Cloud Computing and Parallel Computing.
The Effect of Aging Heat Treatment on the Sliding Wear Behavior of Cu-Al-Fe-(x) Alloys
Authors: Mi Guo Fa , Zhang Jin Zhi , Lv San Lei , Wang Ping
Published: March 2011

Wear behaviour of aged casting Cu-Al-Fe-Be and Cu-Al-Fe-Ni aluminum bronzes was studied in this paper. The microstructures, mechanical properties of hardness and tensile strength, were evaluated experimentally. The friction and wear resistance, and the electrical resistivity of the materials were assessed. The results show that mechanical properties of the Cu-Al-Fe-Be alloy have been improved by solution treatment at 950°C for 120 min followed by aging at 350°C for 120 min, whilst the most suitable heat treatment for the Cu-Al-Fe-Ni alloy was solution treatment at 950°C for 120 min followed by aging at 450°C for 120 min. In the wear testing, the as-cast alloys was dominated by abrasive wear, and the increase in load and sliding velocity, the adhesive wear and oxidation wear dominated. The experimental results also showed that the Cu-Al-Fe-Be alloy possessed higher hardness and tensile strength, lower friction coefficient and lower wear rate compared to the Cu-Al-Fe-Ni alloy.
Simulation Study on Bad Cutting State Criterion of Sugar Cane
Authors: Hu Xiu Chi , Zheng Lan Xia , Yuan Yang , Lian Meng
Published: March 2011

Bad cutting state of sugar cane is a most situation in sugar cane cutting process, which seriously affects the cutting performance of sugarcane harvester and its promotion. According to the fourth strength theory, through finite element analysis software ANSYS, the mechanical simulation analysis on bad cutting state of cane was done. And through regression analysis on simulation results by software SPSS, the criterion of bad cutting state of sugarcane was obtained.
Seismic Structural Damage Detection Based on Time Frequency Response Function
Authors: Wang Bai Sheng , Sun Lie , Chang Zhi Wei
Published: March 2011

Considering that Hilbert-Huang Transformation (HHT) can be used to analyze instantaneous frequency in structural dynamic analysis, this paper proposes the concept of HHT marginal spectrum based time frequency response function. It also defines “central frequency”, which is used to reflect the change of structural dynamic properties during earthquakes, and discloses time-varying development of seismic structural damage. Using a three-story shear frame model, which is subjected to the El Centro seismic wave, the HHT time frequency response analysis of its acceleration response has been made, results show that the adoption of central frequency can successfully indicate the damage inception instant and its development.
Research on the Regional Low-Carbon Industrial Development: A Case of Tianjin Binhai New Area
Authors: Cui Xiao Ying , Li Hui Ming , Wang Lei
Published: March 2011

Energy consumption induced by industry sector is the main source of carbon emission. So it is important to the policy making that research on the low-carbon industrial development, which is aiming to establish an industry system with low-carbon character. There are four restrictive factors on low-carbon industrial development in Tianjin Binhai New Area of China: the rather large scale of the secondary industry, the heavy industrial structure which strongly caused the increasing energy consumption, the high-carbon energy structure of industrial sector, and the lower industrial energy efficiency which has certain gap compared with other regions. Several countermeasures are proposed to reduce carbon emission induced by industrial sector, such as improving energy efficiency, optimizing energy structure, establishing multiple-access financing mechanism to encourage R&D on low-carbon technology, enhancing the development of low carbon industry, participating in the international cooperation actively, and making strategic plan of low-carbon industrial development.
Establishment of Performance Evaluation Indicators System and its Weighting Coefficient Determination Method
Authors: Ren Yong Chang , Xing Tao , Chen Xiao Ji
Published: March 2011

It’s important to improve the success rate and profit margins that establish a reasonable performance evaluation and weighting coefficient, and the implementation of performance evaluation. In connection with characteristic of software project performance evaluation system features, use balanced score card and analytic hierarchy process studying. First, establishment of performance evaluation indicators system, include indicators system principles of the elaboration, give the basic framework of the balanced score card, on financial indicators, customer indicators, internal business indicators, analysis of learning and growth indicators, base on the quality of software projects, through the table list the evaluation index system; second, study identifies indicators of performance evaluation method of weight, include the structure matrix, single-level sorting and consistency check, the level and consistency check of the total order of three basic steps, each step of calculation is given by mathematical formula. The results show that the methods used in scientific application, for software project management and performance assessment indicators researchers, is an important reference.
System Fuzzy Control and Fault Diagnosis Technology Based on TRIZ Theory
Authors: Li Long Yu , Wang Ming Lei , Liu Yong , Chang Yi
Published: March 2011

Proposed a method for System Fuzzy Control and Fault Diagnosis based on TRIZ theory. We got the method through the analysis of TRIZ matrix and 40 invention principles.In the proposed method, the different operation time parameters were compared and the Fuzzy Control and Fault Diagnosis could be realized by the change of time parameters. PLC program stored and compared the time parameters, and the program executed fuzzy control and fault diagnosis operation based on the engineering experience. Other parameters, such as flow, pressure, could be used too. The method got good response in engineering field in practice.
Identifying Damage of the Benchmark Structure by Using Artificial Neural Network Methods
Authors: Wang Bai Sheng
Published: March 2011

This paper discusses the damage identification using artificial neural network methods for the benchmark problem set up by IASC-ASCE Task Group on Health Monitoring. A three-stage damage identification strategy for building structures is proposed. The BP network and PNN are employed for damage localization and BP network for damage extent identification. Four damage patterns (patterns i~iv) in Cases 1-6 are discussed. The comparison between BP network and PNN are carried out. The results show that PNN performs better than BP network in damage localization. The damage extent identification using BPN is successful even in Cases 2 and 5&6 in which the modeling error is quite large.
Study on a New Nonlinear H∞ Guidance Law for Autonomous Underwater Vehicle
Authors: Ding Hao , Liu Kui Ping , You Wen Li
Published: March 2011

The key for Autonomous Underwater Vehicle (AUV) to implement target pursuit is to design high performance guidance law. The globose reference frame is adopted, and equations for 3-D relative motion between AUV and the target are built. Then the H∞ theory is used, and a new AUV nonlinear H∞ guidance law is obtained by solving Hamilton-Jacobi inequation. Simulation is taken on to verify the performance of H∞ guidance law. And the results show that the H∞ guidance law can help AUV overtake the target in less time, and the azimuth and pitching angle of the target line of sight are always staying at the initial numerical values. Furthermore, the normal load decreases to zero gradually. So the guidance law is effective for AUV to pursuit target.
Tactics on the Development of Modern Agricultural Logistics in Central China
Authors: Xu Shu
Published: March 2011

The central region is a large agricultural area in China, while the agricultural product logistics is on the stage of traditional logistics. This greatly restricts and influences the agriculture competitiveness and economic development of central China. Starting from the definition and analysis of the meaning of modern agricultural logistics, it discusses the significance and the need of the development of modern agricultural products logistics, and focuses on the suggestions and strategies to develop the modern agricultural logistics in central China. It is to provide a meaningful reference to enhance the level of the agricultural products logistics and realize the agricultural economic advantages of central China.
The Analysis and Avoidance of Concurrent Processes Deadlock
Authors: Shang Kun , Zhang Kai
Published: March 2011

Deadlock is a common problem in concurrent processing where two or more processes compete for resources in mutually exclusive way to access critical resources. The in-depth analysis and discussion about deadlock would be conducive to the improvement of reliability of the operating system. In this paper, problems about deadlock is analyzed and overviewed, including concept, cause of the deadlock, and prevention, avoidance , detection, and recovery from deadlock, etc .
Three-Dimensional Sonar Imaging Software on the DSP
Authors: Shang Kun , Zhang Kai
Published: March 2011

This paper has explored the design of three-dimensional imaging sonar software and its application to the hardware platform. In the process of designing, the software has been optimized in view of characteristics of the hardware structures and calculation of the TMS320C6416, and the specific optimization methods and effects have also been presented. It turns out that the effect of software optimization is obvious and the working system stable and reliable.
Establishment and Analysis of Particle on Grid Method for Incompressible Fluid
Authors: Zhong Zheng Yu , Lou Wen Juan
Published: March 2011

In order to solve the problem of fluid-structure interaction, this paper presents a new numerical method named as particle on grid method (POGM) for incompressible fluid. Based on the physical mechanism of the fluid motion, the POGM has a clearly physical meaning by using representative physical values at points to describe the fluid’s overall flow. It has been proved that this method is consistent with Navier-Stockes’ equation essentially, and some numerical problems have been discussed. Coutte flow and Poiseuille flow are used in the numerical examples. The results of the POGM are well agreed with the analytical solutions of incompressible flows of the examples.
Search Engine Navigation System Design Based on FCA
Authors: Yu Jun Yang , Ding Rui Peng
Published: March 2011

In this paper, the study of the navigation system is to build a system of clear categorization so that users can make full use of search results and build relations between search results; By using FCA the search results are processed for the second time, during which a categorization system is built to organize these results. Through the navigation of search results, users can gain the search results they need more quickly and the search scope is also narrowed effectively.
Realization of High-Speed Data Transmission in Seismic Data Acquisition
Authors: Yang Rui , Deng Ming , Zhang Qi Sheng , Wang Qi
Published: March 2011

Data transmission is one of key techniques of acquisition station for seismic data acquisition system. With the development of electronics, computer science and communication science, a good realization method has become available for seismic data transmission. The paper focused on the independent design & development of Manchester encoding module, Manchester decoding module and parallel/serial and serial/parallel conversion module by hardware description language (HDL) with FPGA as main control unit and Manchester code and low-voltage differential signaling as theoretical basis. It can realize data transmission speed of 16Mbps between seismic data acquisition stations. Testing results showed low error rate during data transmission to ensure that seismic data acquisition station can read commands sent by power station and convey seismic data correctly.