bluuebunny/crossref_metadata_2025 huggingface dataset:
Finite Element Analysis of Residual Stresses in Metallic Coatings through a Compound Casting
Authors: Liu Yong Ning , Chen Yi Qing , Rolfe Bernard F. , Yang Chun Hui
Published: May 2014

Al and Mg alloys are widely used in industry as main lightweight alloys. They have excellent properties, such as low density, high ductility, and high specific strength, and so on. Generally speaking, Mg alloys are better than Al alloys. However the corrosion of Mg alloys is much more difficult to control compared Al alloys. Therefore to combine these two lightweight alloys, a composite-like structure is an ideal solution since Al alloys can be used as protective coatings for Mg alloys. Compound casting is a realistic technique to get this coating system. In the current study, we numerically study the compound casting using finite element method (FEM) to make these two alloys, a composite-like structure, satisfy requirements to resist corrosion required from industry, in which the aluminum layer is acting as a protective coating for the magnesium substrate. Several finite element models have been developed by using the birth and death element technique and we focus on compound casting-induced residual stresses in the compounded structure. The numerical results obtained from the proposed finite element models show the distribution profiles of thermal residual stresses. We found the major factors influencing the residual stresses are the temperature to pre-heating the Al substrate and the thickness of Mg deposits.
Dynamic Analysis of Structures with Interval Parameters under Stochastic Process Excitation
Authors: Do Duy Minh , Gao Wei , Yang Cheng Wei , Song Chong Ming
Published: May 2014

This paper presents the interval dynamic analysis of structures with uncertain-but-bounded parameters under stochastic process excitations. Structural natural frequencies and mean square values of structural random responses are not deterministic values but intervals. The interval problems are converted to optimization problems. Mathematical models are developed to find the bounds of interval natural frequencies and mean square displacements. An improved particle swarm optimization algorithm, namely lower sequence initialized high-order nonlinear particle swarm optimization algorithm, is employed to capture the exact bounds of structural dynamic characteristics and random vibration responses. Numerical example is used to demonstrate the presented method. Quasi-Monte Carlo simulations are also implemented to validate the change ranges of structural natural frequencies and mean square displacements produced by the proposed method.
Digital Conjugate of Tooth Surface of Logarithmic Spiral Bevel Gear
Authors: Li Qiang , Diao Yun Long
Published: May 2014

Based on the surface of the envelope principle and the digital conjugate surface theory, The taper logarithm helical gear meshing theory further perfect. According to the mathematical model of logarithmic spiral bevel gear tooth surface meshing, using MATLAB powerful scientific analysis and calculation visual features and functions for the conjugate tooth surface equation to get the enveloping surface discrete conjugate points and draw out the conjugate tooth surface. Again through the optimization of surface get rid of the noise, end up with conjugate tooth surface precision, and can B spline fitting. Said for further analysis of spiral bevel gear drive are very valuable.
The Design of Fast Roadway Drivage Support Work Platform
Authors: Liu Yang Yang , Xu Xia , Xu Hua Chao
Published: May 2014

Currently, there is a very difficult problem in coal mine, such as labor intensity and the problem of low safety factor. On the basis of the monorail load form, Roadway drivage support platform to achieve the comprehensive the integration of tunneling work platform of auxiliary transportation and roadway drivage support work.
The Motion Characteristics and Pressure Analysis of Drive System of Monorail Crane
Authors: Chen Yu , Wei Wen Peng , Gao Qing Peng
Published: May 2014

This article mainly on monorail crane motion characteristics of three different kinds of drive systems and pressure analysis of I-steel. The motion characteristics figure of hydraulic step cylinder drive system, friction wheel drive system, rack-and-pinion drive system are done by Solidworks Motion module. The I-steel pressure analysis of different drive systems is done by the Ansys Workbench module. By analyzing and comparing the figures, the rack-and-pinion drive system has a superior property in both motion characteristics and pressure of I-steel.
Comparison of Control Methods of Permanent Magnet Synchronous Motor in Electric Vehicle
Authors: Gang Zhao , Wang Hong Jie
Published: May 2014

At present, the pure electric vehicles with a permanent magnet synchronous motor (PMSM) vector control (VC) and direct torque control (DTC) are mainly control method. These two kinds of control mode are considered as a high performance PMSM control strategy which has been widely used in practice [5]. Starting from the mathematical model of PMSM, two kinds of control strategies are to be the theoretical analysis, so that the control thoughts and the composition of control system has a profound understanding to applies two kinds of strategies to control of PMSM. Simulink modeling and simulation results proved that vector control is better than that of direct torque.
Analysis of Halbach Permanent Magnet Synchronous Motor with Ironless Rotor Based on AYSYS
Authors: Zhang Hao Ming , Peh Lian Soon , Wang Ying Hai
Published: May 2014

Modern motor needs high power density and low rotary inertia,which can improve its dynamic characteristics.Traditional permanent magnet motor shows its limitations.A new structure of ironless rotor motor is proposed. Finite element analysis based on ANSYS proves that the new design not only can increase the motor air gap flux density, but can make the use of ironless rotor rotor become reality. From the relationship curve between air gap flux density and ironless material width, can easily find the ideal width of ironless material of the motor.
Kinematics Simulation of a New CVT Based on Virtual Prototype Technology
Authors: Zeng Qing Dun , Tan Feng Zhe
Published: May 2014

In order to study the kinetic characteristic of a new continuously-variable-transmission (CVT), a three-dimensional model of the CVT was first established by Pro/E solid design and it was saved as Parasolid file format. Then, a kinematics simulation model of drive system of the CVT was established by importing the Parasolid file into ADAMS and the simulation was realized by replacing the traction drive of elasto-hydrodynamic lubrication (EHL) oil film with the contact constraint joints between the input and output wheel discs and the intermediate idler wheels. The simulation results demonstrate that the three-dimensional simulation model of the CVT is accurate, and the equivalent drive system of the CVT is reasonable.
The Development of Antibacterial-Fire Retardant Bamboo Pulp/Cotton Tufted Carpets
Authors: Lu Jin Ming
Published: May 2014

In order to develop good antibacterial-fire retardant bamboo pulp/cotton tufted carpet, the paper selects the antibacterial agent and flame retardant, the antibacterial finishing agent adopts FK732 and FK822, the flame retardant adopts DM-07, the flame retardant finishing and antibacterial finishing process is optimized, the optimization of the finishing process is determined. Antibacterial performance and flame retardant performance of tufted carpet are tested by the authoritative organization, bacteriostatic rate is greater than 99.9%, tufted carpets have good anti-mite effect and good flame retardant performance.
Implementation of Monitoring Program of PC and Android Device for the Hybrid System Conjugated with Solar Cell and Fuel Cell of 9kW Class
Authors: Ryu Won Jae , Lee Sang Hoon , Kim Ki Young , Nugraha Toha Ardi , Shin Soo Young , Chae Seog , Kim Young Hyung
Published: May 2014

This paper presents about the implementation of monitoring program on PC and Android devices for the hybrid system conjugated with solar cell and fuel cell of 9kW class. In this paper, we show the information how to develop the system and monitoring program. The state of charge and information of cells must be monitored. For getting the result, the information of cells is simulated by LM3S9D96 and for the data is transmitted by using CAN communication. After that, the transmitted data is monitored by the programs of PC and Android.
The Analysis and Suppression of Harmonics on the AC Side of HVDC Transmission System
Authors: Liang Zhi Rui , Zhao Meng Ya
Published: May 2014

The advantage of HVDC is large power of transmission, low cost and good control performance. Generation system has harmonic because of the nonlinear characteristics of the converter. It has very important significance for HVDC transmission system to accurate analysis and rational allocation of harmonic filtering device. This paper mainly studies the characteristics and suppression of harmonics on AC side in HVDC system, and the filtering effect of different filter combinations of simulation.
Optimum Design and Simulation on Conductive Ring
Authors: Yang Jin Chuan , Yao Zhi Hui , Wang Xi Gui
Published: May 2014

A new optimum design process is established by mathematical model in this paper based on the theory of material mechanics and electricity. According to optimization,the conductive ring device is designed. Based on virtual modeling under abaqus, the simulation validation of experimental design is carried out.contact resistance is calculated under contact states. A series of data measured in simulation shows that this final optimum design of conductive ring has a better performance than the experimental design in physical properties.
Optimal Load Scheduling in Smart Grid Considering Environmental Factors
Authors: Li Jia Ming , Li Peng
Published: May 2014

This paper introduced the research status of microgrid control system(MCS) and analyzed the functions of microgrid control center(MCC). A design of multi-functional of microgrid control center was presented , and each relevant functional module was described.
Design and Implementation of the Radio & TV Transmitting Station MIS
Authors: Zhang Yi Fei , Ji Yu Huan
Published: May 2014

There are many information sharing problems and integrated management difficulties in the radio & TV transmitting stations, and there are also networked digital construction demands in these stations. In view of the above, this paper puts forward a management information system (MIS) construction scheme. And then this paper does deep research on technique methods and system architecture. Furthermore, this paper illustrates the detailed functions implementation and the practical application of the system. Finally, the paper summarizes the radio & TV transmitting station MIS’s application and performance, and gives some suggestions about the system’s optimization and improvement.
BLDCM Commutation Torque Ripple Strategy Optimization
Authors: Wang Xiao Feng , Lin Wei
Published: May 2014

First of all, this article creates the mathematical model of blushless DC Motor. Secondly, analysis the reduction theory of commutation torque ripple. Finally, put forward a strategy to reduce the commutation torque ripple from the low-speed level and high-speed level. This method guarantee equal between current decline rate of shutdown phase and current rising rate of opening phase during commutation, thus keep the current of un-commutation stable. Build a real brushless DC motor control platform for experimental verification, the proposed strategy of brushless DC motor commutation torque ripple is suppressed effectively.
Experimental Study on Transformer under DC Bias
Authors: Hu Yang , Li Hui Qi
Published: May 2014

As the voltage level to improve, DC bias problem of power transformers increasingly prominent. When the DC current affects the transformer, transformer laminated core magnetization characteristics inside will be affected by magnetic saturation increased. Aiming at this problem, the model of the load side and a smart experimental platform are established, for the measurement of related data such as the excitation current under DC bias. Based on MATLAB software, analysis summarized the laws of physics, to provide a reference for theoretical research.
Simultaneous Localization and Mapping for Robot Based Multi-Agent System
Authors: Leng Xiao Kun , Wang Xin Wei , Piao Song Hao
Published: May 2014

Applications on Multi-agent system have been widely studied recently. The positioning of Robotic system is to estimate the position and posture and accurate position estimation. FastSLAM is a SLAM algorithm based on particle filtering, which can perform positioning fast and has been widely applied. This paper applied the genetic particle filtering into SLAM problem to optimize the SLAM algorithm. We present the algorithms based on genetic particle filtering which can obviously reduce the number of particles needed in FastSLAM. The experimental results show that the improvement measures can effectively improve the performance of the algorithm, so that it enables them to maintain a reliable positioning.
Application of High Frequency Signal Injection Method in PMSM Control Using Fuzzy Kalman Filtering Algorithm
Authors: Che Guo Lin , Lai Hua
Published: May 2014

High frequency signal injection method is the most available method to achieve low speed and zero speed operations in mechanical sensor-less control of PMSM. The difficulty in HF signal injection method is how to pick up the HF components from the measured currents. Kalman filter is an adaptive filter and has been widely used in signal detections and processing. In this paper, a HF signal injection method using fuzzy Kalman filter for signal processing is proposed to realize the low speed operation in mechanical sensor-less control of PMSM. The Kalman filtering algorithm combined with a fuzzy inference system can efficiently adjust the covariance matrix of system measurement noise. Simulations and experiments are performed on PMSM, the results show that this method is a simple and direct signal processing method for HF signal injection method with very good stability and precision.
Reliability Test and Analysis of Electrical Automation Control Equipment
Authors: Jiang Jing
Published: May 2014

For a long time, reliability plays an extremely important role in electrical automation control equipment. To improve electrical automation control equipment’s reliability, the job should be promoted to a strategic height so as to assume and effectively control the factors affecting the reliability of the equipment, thus ensure the accuracy of reliability test. This paper, based on this, first is to implement the reliability influence factors analysis, and then introduces the main testing methods. By contrast, it finally comes to the conclusion that this article can provide certain reference for the research of related topics.
Calibrate a High Speed Micromouse with VB
Authors: Zhang Hao Ming , Peh Lian Soon , Wang Ying Hai
Published: May 2014

To meet the special requirement of high speed micromouse, FPGA was added into the system. This document explains and demonstrates how to celibate a micromouse based on MCU and FPGA under the help of VB. Micromouse running pictures in the maze illustrate the micromouse prototype and calibration of micromouse very good, which can meet the fast exploration and dashing requirements of micromouse.
Application Research of Stepper Motor Control with TMS320F2812
Authors: Guan Xiao Chun , Shen Bi Yuan
Published: May 2014

This paper introduces how to realize the stepper motor control based on digital signal processor TMS320F2812. The paper introduces two control methods of the variable reluctance stepper motor based on the TMS320F2812’s general purpose input/output (GPIO) and event manager (EV) respectively. Also the control principle of the hybrid stepper motor based on the space vector PWM (SVPWM) is discussed. How to configure the peripheral registers of the comparison unit and the PWM generating circuit in the event manager of TMS320F2812 to generates the SVPWM signal is given out.
Design of Automatic Aquaculture Workboat Driven by Air Propellers
Authors: Sun Yue Ping , Zhao Yu Yan , Zhao De An , Hong Jian Qing , Wang Ju Quan
Published: May 2014

At present, artificial bait casting and water quality detection are widely used in the domestic aquaculture, it is difficult to improve the yield and quality of the output of aquatic products such as fish, prawn and crab because of low production efficiency and limited labor force. This paper proposed an automatic aquaculture workboat driven by air propellers based on 3G(GNSS、GIS、GPRS), equipped with main controller ARM11, automatic path planning and tracking based on GIS and GNSS system and remote monitoring with GPRS communication module, the workboat can perform bait casting and water quality parameters detection such as dissolved oxygen, pH, water temperature, ammonia nitrogen and salinity automatically according to the aquaculture tasks. It can improve the aquaculture work efficiency and save the manpower and the material resources.
Construction and Functional Analysis of Luciferase Reporter Plasmid Containing PCNA Gene Promoter
Authors: Zhang Tong Cun , Wang Yue , Liao Xing Hua , Wang Nan , Zhou Hao
Published: May 2014

PCNA (proliferating cell nuclear antigen) is a protein related to tumor development, which has been used extensively in breast cancer diagnosis and prognosis. PCNA has proven to be a useful marker to evaluate cell proliferation and prognosis when combined with other breast cancer markers. Construction of PCNA promoter luciferase reporter plasmid will provide the theory basis for researching the effect of other transcription factors on regulating PCNA transcription. In this study, a human PCNA promoter luciferase reporter construct was generated by PCR amplification of PCNA promoter. The PCR fragment was digested and cloned into pGL3 vector. The promoter sequence was verified by sequencing. The results showed that luciferase reporter plasmids of PCNA promoter were successfully constructed. Then the effects of some key transcription factors, which play important roles in breast cancer cell proliferation, were investigated by luciferase reporter assays in MCF-7 cells. The results showed that ERα can enhance transcriptional activity of PCNA. Furthermore, 17-β-estradiol (E2) also shows an obvious impact in activating PCNA transcription. Our data illuminated that E2 enhances ERα-induced proliferation potential of MCF-7 cells by stimulating the transcriptional activity of PCNA. Our research will provide a model to screen some novel factors in regulating proliferation marker transcription.
Research on Jamming Method of False Target Based on Micro-Motion Modulation
Authors: Cui Rui , Sheng Ai Guo , Pan Ji Fei , He Bing , Zhu Jing
Published: May 2014

Micro-Doppler is a unique feature of radar target, and has been applied to target recognition of ISAR widely, but it can also destroy the quality of the target image at the same time. So a novel jamming method of false target base on Micro-Doppler modulation is presented in the paper. The phase of captured radar transmitting signal is been modulated, which can generate false Micro-Doppler features. The micro-Doppler imaging model of the rotating target is analyzed, and the jamming model based on Micro-Motion modulation is given. Finally, the simulation of jamming experiment is carried out. The results of simulation prove the method is corrective and effective.
Optimal Design of the Data Center Environmental Temperature Monitoring
Authors: Yuan Zhi Xiang , Lai Shuang Bo , Liu Ming , Zhang Hui Yi
Published: May 2014

Traditional datacenter temperature monitoring method is to install some temperature sensors which are unable to cover all areas completely, so there are some problems about local hot spot. The method is aiming to find out the position of potential hazard which may exist in the data center on the basis of data center thermal environment evaluation method and characteristics of air distribution. By applying this method into the wireless sensor network monitoring system, it brings a meaningful improvement of the monitoring system.
Intrusion Detection for Universal Attack Mode Based on Projection Temporal Logic
Authors: Zhou Qing Lei , Zhao Yan Ke , Zhu Wei Jun
Published: May 2014

Compared with the intrusion detection based on pattern matching, the method which is based on model checking can detect the complex attacks. But all of the existing algorithms are used to detect some specific types of attacks. So, we firstly use the projection temporal logic (PTL) formulae to set up formal sub-models respectively for the five kinds of attackers, the four kinds of attack processes and the eight kinds of attack effects. According to their universal relationship and the semantic relation of variety of PTL logic operators, we obtain the above sub-models together, thus, the universal model described by PTL formula for universal attack is formed. On this base, we implement an intrusion detection method based on projection temporal logic for detecting all types of attacks. Compared with the existing methods, the detecting ability of the new method is more comprehensive.
The Improvement and Implementation of Examinee Identification Algorithm Based on the Video Surveillance
Authors: Liu Hui Juan , Li Yu Hui , Li Bo , Yang Fan , Ding Yi
Published: May 2014

Making the video invigilation more easy is a hot topic in the research of intelligent monitoring system. This paper proposes the examinee identification algorithm based on the video surveillance. Firstly, transform the video frame to the orthograph by using perspective transformation, extract the desks template, and get the place of desk according to template matching, then get the place of examinee. Comparing the image about no people included and people included will detect whether examinee in his place by using the comprehensive method which is background subtraction and the normalized matching algorithm, so can statistical number of examinees. Experimental results show that this method is simple, has a good real-time performance and robustness.
Realization of Low Frequency Wakeup in Tire Encoded Radio Frequency Identification System
Authors: Yang Wei Dong , Li Li , Peng Kai
Published: May 2014

In car tires coded identification system, radio frequency technology plays a vital role, the key to radio frequency signals transmitted process is waveform modulation. The key of adjusting the waveform is how to match its resistor and capacitor easily. In the paper their resistance and capacitance values are optimized by using the simulation software (Protues) to simulate the transmitted waveform, and based on matching results the optimized physical models are produced. The actual test results agree well with the simulation results. The method of simulation tests can save the resources effectively, and shorten the development time.
Simulation and Simulation Software Development of the Braking Process of a Subway Train
Authors: Han Long , Tian Chun , Wang Yan , Wu Meng Ling , Luo Zhuo Jun
Published: May 2014

This paper deals with the problem of braking process modeling. A subway train braking process simulation software is built, which composes of a GUI and a underlying model. The underlying model consists of a train model and a brake system model. The train model is simplified and built by assembling subcomponent element models of a railway vehicle. The brake system model is simplified and built based on experimental data in order to reduce computational effort. The GUI of the software can be use to input model parameters, display simulation results, and store simulation data. As a result of the simplifications of the modeling process, the developed software can perform real time simulation.
Construction of Tire Abnormal State Monitoring System Based on GMM
Authors: Wen Chao
Published: May 2014

Tire puncture is the main factor for traffic accidents, especially for the expressway traffic accidents. In this paper, the voice signal is used to distinguish the abnormal conditions of the car tires. which can identify the tire fault signal, timely find tire abnormal condition and send out warning information. It can ensure the safe driving. Experiments show that the system can monitor the tire effective working state.
Research and Development of Vehicle Fault Diagnostic System Based on MDI
Authors: Hu Jie , Li Hao , Hou Xian Jun , Qin Xiong Zhen
Published: May 2014

For the deficiencies of traditional PC-style vehicle fault diagnostic system, this paper proposes a kind of standardized PC-style vehicle fault diagnostic system which based on the standardized diagnostic interface device, selects MDI which conformed to SAE J2534 standard, studies the communication mechanism of MDI and SAE J2534 standard, optimizes the data read rate, develops the diagnostic system software using the design ideas of hierarchical architecture and function modularization. Through vehicle testing and analysis, this system allows the fault diagnosis, maintenance help, real-time monitoring and online refresh for vehicle electronic control system, has a good versatility and scalability, has a reference for developing standardized diagnostic device and provides the favorable tools for vehicle diagnosis and maintenance.
Research for the Crack Dynamic Monitoring of Marine Diesel Engine
Authors: Yu Zhi Min , Zhang Shi Hai , Jiang Shi Xun
Published: May 2014

crankshaft is one of the most important parts and crankshaft fatigue fracture is a major failure. In order to alert fatigue fracture of crankshaft to prevent accidents, diesel engine crankshaft dynamic monitoring based on the actual situations of diesel engines, significance of dynamic balance for marine diesel engine crankshaft system is discussed and as well vibration monitoring and field dynamic balance system for diesel engine crankshaft system is constructed. The least square method is applied to fit fundamental frequency vibration signals of crankshaft system and the field dynamic balance strategy is designed on the basis of the influence coefficient method. The feasibility of the dynamic balance system is tested through experiments in the paper.
Analyze Soft Measurement Technology Based Intelligent Algorithm in Sewage Treatment
Authors: Wang Wen Cheng , Chen Zhong Xue , Li Ke , Niu Qin Zhou
Published: May 2014

On the basis of introduction to soft sensing technology, the paper comprehensively discusses the research present situation and the application characteristics of Genetic Algorithm、Artificial Neural Networks、and Support Vector Machine.After comparison and analysis, this paper presents a high quality research strategy of on-line real-time control.
Investigation of Ventilation Monitoring and Controlling System for Supercavitation Experiment in the Water-Tunnel Based on Configuration Software
Authors: Li Shan Shan , Wang Peng , Han Xu , Liu Jin Feng , Zhou Xiao Gang
Published: May 2014

The supercavitation weapon is a new concept weapon moving at a high speed underwater, which is devised applying the characteristic of supercavitation reducing the resistance of water, and it may be widely used in the future. The present ventilating system has many shortcomings, such as less automation and numerous data cannot be measured and recorded timely. In this paper, the automatic monitor and control ventilating system of supercavitation water-tunnel was developed using configuration software and PLC. All parameters can be measured, recorded and displayed automatically via using of the system. It has many advantages such as higher automation, convenience, and easy maintenance.
L-Shaped Array Structure Optimization via Cramer-Rao Bound
Authors: Zhang Li Cen , Zhang Xiao Fei , Jiang Chi
Published: May 2014

This paper discusses the problem of two-dimensional (2D) array structure optimization for L-shaped array, and derives a Cramer-Rao Bound (CRB) therein. In this work, we focus on the array structure optimization of elements arranged location, elements spacing and direction of arrival (DOA) via the criteria of CRB. By this means, optimum array structure (single source) can be achieved for a specific problem. To show the CRB performance of different elements distribution, we set fixed number of elements. On this basis, we obtain the optimal arranged location by analyzing the presented performance curve. In order to seek the law between element spacing and CRB, external conditions such as uniform distribution is included in the optimization process to simplify the design. Based on the above conditions, we conclude that the larger array elements spacing the better CRB performance within half-wavelength. In addition, the paper involved the CRB performance optimization of azimuth and elevation angles which range from-90° to 90° and shows a three-dimensional diagram for performance analysis.
Multivariant Optimization Algorithm for the 0-1 Knapsack Problem
Authors: Liu Lan Juan , Li Bao Lei , Zhang Qin Hu , Lv Dan Jv , Shi Xin Ling , Li Jing Jing
Published: May 2014

In this paper, a novel heuristic algorithm named Multivariant Optimization Algorithm (MOA) is presented to solve the 0-1 Knapsack Problem (KP). In MOA, multivariant search groups (locate and global search groups) execute the global exploration and local exploitation iteratively to locate the optimal solution automatically. The presented algorithm has been compared with Genetic Algorithm (GA) and Particle swarm algorithm (PSO) based on five data sets, results show that the optimization of MOA is better than GA and PSO when the dimension of problem is high.
Study on the Density of Supercritical CO2 with State Equation
Authors: Gao Xing Yong , Meng Ling Ling , Chang Wen Ping
Published: May 2014

The density of supercritical CO2 is calculated by Peng-Robinson state equation. Through comparing with the experimental values, it is founded that the calculation results are very similar with experimental values, which indicates that Peng-Rob inson state equation is an ideal method for forecasting the density of supercritical CO2.
Enhancing Collaborative Filtering Recommendation by Utilizing Improved Ant Colony Optimization Algorithm
Authors: Li Zhong Liang , Hu Chen Xiao , Wei Xu Yang , Zou Teng Fei , Zhang Hao Ran , Yang Guo Cai
Published: May 2014

Collaborative filtering (CF) is the most widely used and successful personalized recommendation technology in web usage mining. The traditional collaborative filtering algorithm based on user static evaluation of the item's neighbour to predict changes of the users’ interests, however, the user’s interest will make a difference over time. Taking the dynamic changes the user’s interest into account in the process, this paper presents a dynamic collaborative filtering recommendation method based on improved ant colony algorithm (EACF). Improved ant colony algorithm takes into account the user access time and access frequency, which can be more representative of the true interests of users. When generating the recommendation, this method not only takes into account the item’s score, but also will take into account intensity of “interest pheromone” on each item. Experimental results show that the EACF can significantly improve the prediction accuracy of the recommendation system compared with traditional CF.
Research on Efficient Association Analysis Algorithm towards Production Process Data
Authors: Wang Ming Hui , Shang Wen Li , Pan Fu Cheng
Published: May 2014

Association analysis of the production process data (PPD) can be discoveried on the quality relevant parameters with great impact, however, it’s different from correlation analysis of other fields, Huge amount of data due to the production process, and the many parameters involved in the production process, the existing association analysis algorithms as they deal with inefficiency, can not meet the practical application. This paper proposes a new process for the industrial production of efficient data association algorithm-AprioriMask, after the actual production process of association analysis verification, AprioriMask algorithm has significant performance improvements to meet the industrial production process data for correlation analysis.
Optimization of Reactive Power Based on Dynamic Learning Factor Multi-Objective Particle Swarm Algorithm
Authors: Ai Ying , Su Yi Xin , Peng Yao
Published: May 2014

. Particle swarm optimization algorithm has the defects of easy to fall into local optimum and low convergence accuracy used in reactive power optimization. To solve the problems, this paper proposed an improved particle swarm optimization algorithm based on dynamic learning factors. The two accelerations are changed with searching stage, so as to enhance the early globle search ability and the late local search ability, then to avoid local optimum; minimum particle angle method and crowded distance method are uesd to determine the global extremum in instalments, so as to improve the convergence speed and accuracy of multi-objective pareto solutions. Take the IEEE 30 bus system IEEE 118 bus system as example, the proposed method is compared with adaptive chaos particle swarm optimization (ACPSO) and NSGA-II, simulation results show that the method put forward in this paper has better convergence accuracy.
A Survey on Application of Data Mining on Transformer Condition Assessment
Authors: Chen Xin , Xu Yan
Published: May 2014

People’s attention of transformer condition assessment is increasing in recent year and data mining is applied in transformer condition assessment with its obvious superiority in dealing with complex data and finding potential problems. In this paper, the process of the research on applying data mining to transformer condition assessment is summarized. The research results of data processing methods such as rough set theory, principal component analysis and colony algorithm as well as the research result of transformer condition assessment such as vector machine, neural network, Bayes network, association rules and fuzzy theory are introduced, analyzed and compared in detail. The advise on the choice and quantification of figure, the employ of the pattern recognition method, the blend of multi-information and visualization display are given.
Graph Based Semi-Supervised Learning Method for Imbalanced Dataset
Authors: Zhang Chen Guang , Zhang Yan , Zhang Xia Huan
Published: May 2014

In real application areas, the dataset used may be highly imbalanced and the number of instances for some classes are much higher than that of the other classes. When learning from highly imbalanced dataset, the classifier tends to be adapted to suit the majority class, which might make classifier to obtain a high predictive accuracy over the majority class, but poor accuracy over the minority class. To solve this problem, we put forward a novel graph based semi-supervised learning method for imbalanced dataset, called GSMID. GSMID characterize the class equilibrium constraint as the smoothness of class labels. It’s expected to derive the optimal assignment of class membership to unlabeled samples by maximizing the correlations of classes and simultaneously as smooth as possible on instance graph. The experiments comparing GSMID to SVM and other graph based semi-supervised learning methods on several real-world datasets show GSMM can effectively improve the classification accuracy on imbalanced dataset, especially when data is highly skewed.
Research on the Mapping Model between Users’ Cognitive Concept and Product Shape Information
Authors: Yao Yue , Huang Yan Qun
Published: May 2014

To make products understood by users more easily, it has become a hot topic in industrial design that how to fill the gap of semantic cognition differences between designers and users. In this paper, users’ cognition process is built and analyzed, a concept of abstracted symbol is proposed. Then different kinds of shape information are abstracted into simple shape symbol. At last, a rational mapping between users’ cognitive concept and product shape information is built up. This mapping model provides designers a way to know better about the users’ cognition, thereby guides designers to design product shape more rationally.
Research on Evaluation Model of Aviation Ordnance Safety Performance
Authors: Xiao Zhi Hua , Xie Wei Shi , Tang Jian
Published: May 2014

Security is the main direction of ammunition for future development. Depending on the security level that ammunition relative to its life process may suffer major environmental stimuli factors, raising ammunition’s safety criterion, introducing safety parameters, establishing a theoretical model of ammunition safety performance evaluation. In the model, based on the value of the safety of ammunition, we divides the security level of ammunition. Based on this evaluation model to calculate the conventional bomb safety performance of the changing Mk-82’s insensitivity. We analyzed the influence of unexploded ordnance (UXO) on the overall safety performance of ammunition from the failure of the design. The results show that the end of unexploded failure design can significantly improve the safety level of ammunition. This model better reflects the inherent safety performance of ammunition, can provide theoretical guidance for the safety design of ammunition and safety performance evaluation.
Research on Fuel Optimization of the Formation Establishment Based on Double-Impulse
Authors: Shi Jian Wei , Cai Yuan Wen , Xie Wei Qi
Published: May 2014

In view of fuel consumption problem of the formation establishment, starting from the fly around equation, using double-impulse, the optimization is simulated based on the Niche Genetic Algorithm (NGA). The simulation result shows that the NGA is a good way to solve the fuel consumption optimization problem of formation establishment, and the fuel consumption when the phase determined is greater than the fuel consumption when the phase not determined.
Applying Grey Forecasting Model on the Milk Yield of Guangxi
Authors: Li De Wang , Xu Da Ming , Wang Wu Sheng
Published: May 2014

By using milk production data of Guangxi statistical yearbook from 2001 to 2010, based on the Grey theory and Grey prediction models, which are GM(1,1), have been adopted to predict the milk throughput of Guangxi in this paper. So we establish the GM(1,1) prediction model and predict the milk production of Guangxi from 2011 to 2020. The results show that the Grey theory and Grey prediction models have good simulation and feasibility. At the same time, with the combination of livestock products market demand, we provide livestock enterprises and farmers with some appropriate recommendations.
Both Theoretical and Experimental Analysis of Temporal and Spatial Chirp of Femtosecond Pulse Beam in a Prism Pair
Authors: Sun Tie Ju , Lou Xin , Duan Fang Zhen , Li Cheng Li
Published: May 2014

Spatial and temporal chirp will effects a pulse both in space and in time domains. So effectively controlling and utilizing the spatial and temporal chirp has great significance. In this manuscript, firstly the dispersion properties of the prism pair is theoretical analyzed, and the phase delay second derivative expression of the thin prism is obtained. Then a setup is demonstrated to experimentally investigate the spatial and temporal properties of the femtosecond pulse beam. The spatial chirp and temporal chirp effects on the femtosecond pulse beam are experimentally obtained. Both theoretical analysis and experimental results indicate that the group delay dispersion due to prisms is always negative, and the pulse beam can be compressed or broadened by the prism pair based on changing the prisms referring parameters.
Research on CCT Curve of 12Cr2Mo1R Pressure Vessel Steel
Authors: Wang Min , Xu Guang , Yang Hai Lin , Zhou Ming Xing , Xiong Tao
Published: May 2014

The continuous cooling transformation (CCT) curve of 12Cr2Mo1R pressure vessel steel was measured on Gleeble-1500 hot simulator. The transformation and structures were observed and analyzed. Test results show that with the addition of Cr and Mo, ferrite and perlite transformation temperature increases while bainite transformation temperature decreases, resulting in bainite zone separating from ferrite and pearlite zone. The critical cooling rate for martensite is 30 °C/s.
Image Classification Based on Color Topic Model
Authors: Kang Nan Nan , Wang Xiao Fang , Zhang Rong Rong
Published: May 2014

This paper addresses semantic image classification with topic model, which focusing on discovering a hidden semantic to solve the semantic gap between low-level visual feature and high-level feature. In our approach, Latent Dirichlet Allocation (LDA) model successfully reflect the high level features and the RGB SIFT features which integrating the Scale-invariant feature transform (SIFT) features with color features on the assumption that pictures generated by mixture of latent semantic which we called topics. The proposed approach has a sufficient theoretical basis and the experimental evaluations the COREL database demonstrate its promise of the effectiveness.
Application of Improved Dual-Threshold Segmentation for Tongue Image Based on HSI
Authors: Zhang Kang , Du Jian Qiang , Ding Cheng Hua , Wang Can Hua
Published: May 2014

Tongue inspection is the main content of four diagnostic methods “observation, auscultation and olfaction, interrogation, palpation” for traditional Chinese medical science. Traditional tongue inspection mainly depends on doctor’s eyesight and subjective observation to diagnose a disease. It lacks objectivity and hinders further development. It is the only tendency to use computer technology to objective and standard tongue inspection. The tongue split out from the face is the premise for tongue objective. This paper introduces a new dual-threshold segmentation algorithm for tongue image base on HIS.
An Improved Linear Discriminant Analysis Method and its Application to Face Recognition
Authors: Li Kai , Tang Peng
Published: May 2014

Linear discriminant analysis (LDA) is an important feature extraction method. This paper proposes an improved linear discriminant analysis method, which redefines the within-class scatter matrix and introduces the normalized parameter to control the bias and variance of eigenvalues. In addition, it makes the between-class scatter matrix to weight and avoids the overlapping of neighboring class samples. Some experiments for the improved algorithm presented by us are performed on the ORL, FERET and YALE face databases, and it is compared with other commonly used methods. Experimental results show that the proposed algorithm is the effective.
Communication Design of Collaborative Virtual Maintenance Training System Based on JMS
Authors: Zhao Chao , Li Xing Xin , Xia Kong
Published: May 2014

Taken the problem of data communication in collaborative virtual maintenance training system into consideration, the technology of JMS was used to transmission of information, which solved the asynchronous communication between each client in system, and ensured the timeliness, accuracy and high efficiency during the whole process.
Forward
In recent years, using virtual reality technology for maintenance training is one of the popular research fields, and many virtual maintenance training systems have been developed [1,2]. However, none of these systems could be used to collaborative training for multi-users. One difficulty is that how to share the information between clients. In other words, the way of communication is considerable to enable to share information as reasonably, timely and efficiently as possible and do not affect the training. For this reason, JMS (Java Message Service) technology is presented to solve the communication problem in collaborative training in the article.
A Privacy Preserving Communication Scheme for VANETs
Authors: Mei Ying , Cui Yong Quan , Jiang Guo Zhou
Published: May 2014

In this paper, we propose a privacy preserving communication scheme for VANETs, combining ring signature and an identity based encryption. In our scheme, all the messages which needn't keep secret but provide authenticity is signed by employing a ring signature scheme, and it provide good anonymity. And we propose a approach that collecting and disseminating pks by the help of RSU. The vehicle encrypt its pk with the RSU's identity by using a IBE scheme and send it to the nearest RSU, the RSU collect pks and form a ring, and then broadcast it to the vehicles. All vehicles in this ring can sign messages with this the same ring.
Web Information Extraction and Conversion for Mashup
Authors: Zhang Rui , Lan Xiang , Liu Yao , Liu Qing Yang
Published: May 2014

The existing Mashup Platform can only exploit the web service providing APIs, which limits the application scope of Mashup platform. This paper analyzes the HTTP protocol and related technologies, and proposes a semi-automated method for Web information extraction and conversion: the WebAPI system. In WebAPI, users firstly mark pages by hand with browser plug-ins, and then the proxy server grabs the HTTP message flow to obtain the parameters needed. The conversion module of WebAPI analyzes the parameters to create the corresponding Web Service APIs so that Mashup applications can utilize the general Web Service by invoking these interfaces. In this indirect manner, the range of resources that Mashup platforms can utilize is extensively expanded.
The Analysis and Designing for the Cloud Learning Platform
Authors: Wei Ling Ling , Yang Wei
Published: May 2014

The traditional learning and the self-inquiry learning have their advantages, so it is combining their advantages,studying the cloud learning platform. According to the present situation of the learning platform, it is designing the traditional learning platform and the self-inquiry learning platform, then develop the learning platform, finally analysis the advantage of the learning platform for students and teachers.
The Integrated Support Analysis of Electronic Information System
Authors: Wang Hua , Li Xian Yu , Chen Zheng Mao , Liu Pei Tao , Du Kai
Published: May 2014

Based upon the synopsis of electronic information system and system integrated support, this paper puts forward integrated support model of electronic information system, and sets forth a series of policies and measures, such as strengthening technical practices of general quality characteristics, advancing system integration of integrated support information, and studying and applying software support technology. This will benefit the further development of electronic information system and integrated support engineering.
Application of GIS and Artificial Neural Network Model Ecotourism Relevancy Evaluation
Authors: Yu You Cheng , Wang Wei
Published: May 2014

Ecotourism suitability evaluation is a relatively new field in the area of land suitability evaluation. There are numerous studies which focus on land suitability evaluation, yet very limited attention is paid to ecotourism suitability evaluation. Investigation and evaluation of ecotourism resources and the ecotourism environment are helpful for determining whether a particular area is suited for ecotourism activities, providing a theoretically reasonable basis for the functional division and activities in ecotourism planning, and a foundation for sustainable development of the ecotourism industry.
Design and Realization of Virtual Experimental System for Computer
Authors: Zhou Xiong
Published: May 2014

With the modernization of the society and improvement of technologies, people have new requirement for the communication mode between human and computer. And it leads to the appearance of Virtual Reality technology. The Virtual Reality technology is an integration of computer graphics technique, multi media technique, sensor technique, display techniques, simulation technique, and Internet technologies and so on. It builds virtual scenes on the network to implement a platform that multi-users from different places can immerse into and communicate with each other with no bound.
A Handover Process Analysis Method in LTE-A Heterogeneous Network
Authors: Yu Xiang , Zhang Li , Wang Wen Qing , Wang Rong
Published: May 2014

By studying the handover process in HetNet network scenario with macrocell and picocell, analyzing and simulating the probabilities of successful handover in theory and geometry, respectively.