bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling of Five-Axis Linkage WEDM for Complex Curved Surface and its Simulation
Authors: Wang Xin Rong , Wang Ping , Cui Ya Chao , Han Tao
Published: December 2012

For the purpose of studying on the machining process of complex ruled surface, a new method of computer simulation about five-axis linkage WEDM was put forward.Through analyzing the characteristics of five-axis linkage WEDM and its motion laws, the related mathematical models were built. The whole machining process of five-axis linkage WEDM can be directly observed by running the simulation program. The ideal simulation results can be obtained. The ideal machining parameters gotten by computer simulation provide a theory basis for machining complicated ruled surface. Consequently, the machining capability of WEDM is extended and the problem of machining complicated ruled surface is resolved.
The Study of 3-D Magnetic Field Finite Element Analysis for Giant Magnetostrictive Actuator
Authors: Zhang Fan , Ma Zhi Xin , Gao Shang
Published: December 2012

Based on the structure and working principle of our giant magnetostrictive actuator (GMA), the properties of the driving magnetic field were researched. A 3-D nonlinear magnetic field model of the GMA was established with the finite element analysis method, and the magnetic field distribution of the GMA was obtained with the software ANSYS. Then the 3-D model helped us to find the effects about the distribution of magnetic field of the GMA from the structure. The 3-D magnetic field finite element analysis model can give us a new tool of GMA design and analysis.
The Navigation and Positioning Method of Active plus Passive Ultrasound-Guided Robot for Liver Cancer Coagulation Therapy
Authors: Cao Ying Yu , Qi Bo Jin , Wang Shao Xian , Cui Wei Tao
Published: December 2012

The navigation and positioning of medical robot was the precondition of taking the medical robot-assisted surgery. The navigation and positioning method of ultrasound-guided robot for liver cancer coagulation therapy was introduced. This paper presented the positioning method of different functions of robot based on the characteristics of active plus passive robot. The homologous point least squares matching method was employed for the robot 3D platform and the space vector calculation method was used for the robot RCM structure arm. The experimental results show that the robot positioning error is 1.32 ± 0.83mm, and the average positioning time is 5.5s, which can meet the requirements on the positioning accuracy, positioning time and operating flexibility of the liver cancer coagulation therapy.
Dynamic Analysis of Key Parts of CNC Milling Machine Based on FEM
Authors: Cong Wei , Zhang Zhi Yong , Li Jiang , Han En Xiang
Published: December 2012

Taking the spindle of machine tool as example,the modal analysis and harmonic response analysis were done by means of finite element method. Find out its characteristics of vibration modal. The analysis is conducive to the design of the spindle of machine tool. It makes a base for optimized design and remanufacturing.
Finite Element Analysis of Milling Head Box of CNC Machine Tool
Authors: Sun Lei , Wang Xia
Published: December 2012

The modal analysis and harmonic response analysis of milling head box were done by means of finite element method. Find out its characteristics of vibration modal. The analysis is conducive to the design of the milling head box of machine tool. It makes a base for optimized design and remanufacturing.
Robust Adaptive Sliding Mode Synchronous Control for a Planar Redundantly Actuated Parallel Manipulator
Authors: Long Yi , Yang Xiao Jun
Published: December 2012

To obtain better trajectory tracking, a new synchronous control with sliding mode surface is proposed. Based on Kane equation, the dynamics model of a planar 2-DOF redundantly actuated parallel mechanism was formulated. With trajectory contour error, the synchronization error was defined and the sliding surface was determined. After dynamic equation linearization, a robust adaptive sliding mode synchronous controller was designed with stability analysis. After Matlab simulation, figures of tracking errors and synchronization errors changing with time compared with computed torque method were plotted. Results show that the robust adaptive sliding mode synchronous control can be able to achieve good trajectory tracking compared with computed torque controller.
Industrial Robot Control Using Inertial Navigation System
Authors: Pintér Tomáš , Božek Pavol
Published: December 2012

The paper deals with constructing the inertial navigation system (hereafter INS) which will be utilized for the calibration of a robotic workplace. The calibration is necessary for adapting the simulation of a production device model to real geometric conditions. The goal is to verify experimentally the proposed inertial navigation system in real conditions of the industrial robot operation.
Application of Optimized BPNN Based on QGA in PID Control of Coal Mine Detection Robots
Authors: He Yang Yang , Niu Zhi Gang
Published: December 2012

This thesis regards TUT-CMDR type coal mine detection robots as the research object and put forward an application of optimized BP neural network based on Quantum Genetic Algorithm in PID Control of motor speed. Transfer function model of speed control system of TUT-CMDR motor was established. Firstly, initial weights and thresholds of BP neural network were optimized by Quantum Genetic Algorithm, and then BP neural network was designed to adjust the parameters of PID on line. Finally, the results show that the algorithm is feasible and superiority.
The PLC Control System of Box Processing Combined Machine Tool
Authors: Li Li Ya
Published: December 2012

According to the craft requirement of drilling and tapping some boxes’ production line three surfaces and two service positions, selected Japan Matsushita Electric's C40 (24/16) type,and designed the PLC control system of the combined machine tool, replace the intrinsic relay and contactor control system. The reliability of the control system is improved, failure rate is reduced, debugging use is convenient, practical application effect is good.
Application of Critical-Siphon Theory to Fastest Deadlock Controller for a Class of Flexible Manufacturing Systems
Authors: Chiang Johannes K. , Chao Daniel Yuh
Published: December 2012

We developed theory to show exactly one monitor is required for the set of siphons in the family of a 2-compound siphons and how to assign its initial markings. This avoids redundant monitors and the unnecessary associated computational burden. Neither reachability graph nor minimal siphon needs to be computed achieving polynomial complexity---essential for large systems. This paper redevelops the theory more formally and further applies this approach to two well-known S3PR to obtain a controller full or near maximally permissive.
The Design of AGV Control System and its Application in Printing Center
Authors: Zhang Peng
Published: December 2012

This paper introduces one kind of design of AGV control system based on the navigation of the time division electromagnetic complex frequency selection. The structure of software and hardware of AGV is analyzed. Combined with AGV system applications in a newspaper printing center, the detailed analysis of the design of AGV system is shown. After the actual operation of the system, its feasibility is verified.
The Research on the Intelligent Control of Geographic Information System Design to Agricultural Production
Authors: Wang Shu Rong , Zhao Jin Song , Lei Song Ze
Published: December 2012

Agricultural geographic information system could use the agriculture information database, agricultural resources dynamic monitoring, agricultural management, analysis and decision support, "precision agriculture" demonstration, realizes the intelligent control of agricultural production management, could realize rapid investigation and monitoring in each link of agricultural production, timely diagnosis and analysis, high decision-making and management, thus promoting agricultural modernization.
An Improved Fast Intelligent Tracking Algorithm with the Gain Adjustable
Authors: Si Dong Sen , Wang Xiao Xu , Chen Chen
Published: December 2012

Realize the goal quick and accurate location when the detection signal is weaker, puts forward a Fast Intelligent Tracking algorithm(FITA) with the Gain Adjustable. Wiht the goal image move in four quadrant detector, it’s size, location and output signal related to a linear probe interval. In this interval, a liner relation can be get between the spot position and the corresponding output signal. The target quick location algorithm is realized with this relation. On the other hand, the sum signal of the four quadrant detector is sampled in real-time, this sum is related to the sensor’s signal strength, then the change rate of the signal strength can be get, using adaptive learning ways to get the change trend of signal strength, and realized dynamic adjustment of the signal gain, in order to improve the signal resolution ratio when signal is weak, the tracking accuracy can be improved with this way. The experimental data show that FITA algorithm can rapidly locate position in the linear interval and accurately track through the dynamic change signal gain for the weaker signal. The track error can be improved to 1.9%.
A Novel Roller Chain Sleeve Crevice Identification and Orientation Device Design and Test
Authors: Ding Song , Liu Xiao Lun , Zhang Ying Bo , Liu Jia Jun , Zhu Guo Yu , Wang Pan
Published: December 2012

In order to solve the problem of chain wearing elongation due to random assembly of roller chain sleeve crevice orientation, a novel roller chain sleeve crevice identification and orientation device is proposed. By means of force analysis of the identified sleeve, establish the shape and material parameter relation of drive driven sprocket and collet, to fulfill high-efficiency and high-accuracy roller chain assembly. The tested chain sleeve is 10B-1, two hundred sleeve crevice identification and orientation were tested 50 times. Every test average time is 182.3s and all the sleeve crevice out of the discharge opening is collinear. The rationality and practical applicability of roller chain sleeve crevice identification and orientation device design procedure is verified.
A New Intelligent Device Used for Monitoring Environment Safety
Authors: Wang Chun Jian , Liu Yong Zhi , Ma Liang
Published: December 2012

There are many factors that influence the equippment environment safety, and Oil mist concentration is one of the important factors. So it is very critical to monitor oil mist concentration accurately and quickly. A kind of monitor device is designed to carry on the sampling of the air and get the original data. And forecasting the variety of oil mist concentration with grey model, it opens the air decontamination device before attaining the limited value. The calculation shows that the monitor device based on grey theory is effective, convenient, and has upper fitting precision.
Quasi-Likelihood Deconvolution of Non-Gaussian Non-Invertible Moving Average Model
Authors: Zhang Ming Shan , Huang Jian
Published: December 2012

In reflection seismology the reflectivity sequence is of primary interest and must be estimated. Estimation of the reflectivity sequence is based on deconvolution of seismic trace data. Modelling the seismic trace as the non-Gaussian moving average time series, we propose a deconvolution method based on the modified estimation, which is consistent estimation of moving average models with heavy tailed error distribution. The asymptotic equivalence is established between the proposed method and the deconvolution using . Simulation studies are presented to validate the equivalency. Furthermore, based on this equivalence the consistency problem of the deconvolution has been discussed.
The Flow Ratio Process Control System Design Based on Improved PID Algorithm
Authors: Luo Dong Yun , Chen Yan Fang , Wang Ping , You Fang
Published: December 2012

This paper mainly introduces a conventional PID algorithm quantity ratio control system. With regulators for control center, combined with the sensors, flow meters, actuators, analog input channel, analog output channel, explosion-proof gate of equipment such as flow ratio control system, to two different liquid flow for example, its characteristic is to keep the Lord flow and vice flow ratio must be objective. The ratio of the calculation of the parameters calculation after all set up changes no longer, in the control system of main and auxiliary loop set respectively, Lord control device that guarantee the ratio of output Settings coefficient and characterization of product quality index the controlled variables is constant, through the practice and the simulation results show that the system can not only meet the technological requirements, and with high control accuracy and stability.
Research of Coke Rate Prediction of Blast Furnace Based on Operative Characteristics of Auxiliary Resources
Authors: Wang Yan Hong , Zhang Hua , Jiang Zhi Gang , Zhao Gang
Published: December 2012

During the process of blast furnace, auxiliary, such like coal, coke, oxygen, limestone, and refractory can form different resource conversion efficiency when processed with main material resources which are rich of iron, and this has an important impact on resource consumption and environmental emission. Coke rate is one important technical and economical index in the process of blast furnace production as well as the central exemplification of efficiency and consumption of blast furnace production. This discourse will analysis related subjects from the perspective of operative characteristics of auxiliary resource's effects on comprehensive coke rate in blast furnace, using improved BP neural network of 16-20-1 topological structure to predict comprehensive coke rate in blast furnace. Real practices have proved that this model has low chance of predicative error in the blast furnace production, and this means accuracy and effectiveness.
Research on Intelligent Elevator Control System
Authors: Jiang Xiao Mei , Hua Zheng Xiao , Rui Yan Nian
Published: December 2012

This thesis introduces control approach for the elevator control system. From the intelligent control perspective of the elevator operation, better elevator service quality should be required. The advanced scheduling rules and the best dispatching mode should be adopted in control procedures to obtain control management. Group control algorithm does not solely rely on the passengers’ shortest waiting time as the goal, also using the fuzzy theory, neural network, genetic algorithm and expert system. All these factors including the passengers’ psychological impact and assessment of impending decision-making should be absorbed into the group control system, so it is a multi-objective control combined expert system with the current elevator operating status.
Experimental Analysis on Initial Arc Column Voltage Gradient in Fuse Filled with Silica Sand
Authors: Xiao Yi Yang , Zhuang Jin Wu , Chen Bo , Wu Jin
Published: December 2012

Initial step voltage during the interruption of short-circuit current in a fuse has an important effect on the current-limiting capability of fuse and the working security of electric equipment. The initial arc column voltage makes the main part of the step voltage. In this paper, we discovered the approximate linear relationship between current density the moment arc starts, ranging from 10 to 45 kA/mm2, and the initial arc column voltage gradient, through the analysis of interrupting experiments using sample fuses containing single stripe of silver with one constriction, pre-arcing energy and the packing density of silica sand remained the same. The above law is applied in the circumstance of the fuselink with multiple constriction in series and a further investigation of the initial step voltage influenced by the number of notch is carried out, which provides basis for small scale experiment on the series characteristics of multiple notches for high voltage.
Design and Implementation of Radio Spreading-Sequences Beacon Based on Quadrature Frequency-Conversion
Authors: Xue Jun , Zou Jian Hua , Zhang Yong Liang , Fang Xin Bing
Published: December 2012

Radio beacon is required for dynamic self-test of vessel carrier's radio measuring and controlling equipment. Also it is required to process angle-adjusting of the equipment. The paper proposes a kind of method to design beacon based on quadrature frequency-conversion technology. The parameters of the beacon can been set flexibly through MCU control. Sidebands and local oscillator’s leakage are suppressed in circuit implementation. The beacon works reliable and its performance meets requirements. Real application shows fair result. The beacon supports technically naval adjustment of vessel carrier's radio measuring and controlling equipments.
High Efficiency Performance of Stack-Gate 0.35um P-Channel Flash EPROMs
Authors: Chen Shen Li , Tseng Der Jang
Published: December 2012

The programming mechanism and erasing efficiency in P-channel flash EPROMs are presented in this paper. With impact ionization programming mechanism, reliability problem is effective reduced. And, the margin of VTH shifts is obvious from –1V to –7.6V for deeply programming or erasing. For the low voltage operation, this high efficiency stack gate flash EPROM can be easily implemented.
Structure Design and Modeling for a Picking Bananas Manipulator
Authors: Wang Hong Jun , Huang Guo Gang , Chen Jia Xin , Zou Xiang Jun
Published: December 2012

Based on agronomic analysis and harvest characteristics for bananas, the structural solution simulating action of a person manually picking bananas was proposed according to structural design and bionic principle, which was consisted of rotary mechanism, lifting mechanism, and shift mechanism, the body mechanical model of the picking bananas manipulator was established, the function, structure and dimension relationship of every mechanism were detailed analyzed. Assemble model of the picking bananas manipulator was developed employing Solidworks software, work space for the mechanism was analyzed. The validity mechanism solution having been verified could provide a theoretical basis for picking manipulator primary design.
Design and Simulation of High Gain X-Band Horn Antenna for Calibration
Authors: Zhang Yong Liang , Pan Gao Feng , Xue Jun , Xie Yong , Liang Sheng
Published: December 2012

For calibrating the X-band equipment in the TT&C ship based on wireless communication, we design a high gain rectangular horn antenna. Through analysing the theory of structure, the antenna’s preliminary size parameter is estimated and it is simulated based on HFSS. The antenna structure parameters are obtained after parameters optimization. The results of simulation indicate that the design of antenna indexes meet the needs completely. The structure of antenna is compact and it easy to process. The simulation method in the paper may also be referred to other related design.
Particle Swarm Optimization Least Square Support Machine Based Missing Data Imputation Algorithm in Wireless Sensor Network for Nuclear Power Plant’s Environmental Radiation Monitor
Authors: Gao Song , Tang Yao Geng , Qu Xing
Published: December 2012

In wireless sensor network for nuclear power plant’s peripheral environmental radiation monitoring the gamma dose rate data may be missed affected by various factors, which will influence the validity of environmental radiation monitoring. To solve the problem, a missing data imputation algorithm is proposed based on particle swarm optimized least squares support vector machine. This algorithm imputes missing data utilizing node’s previous monitoring data and neighbor node’s current monitoring data jointly. Experimental results using the real radiation monitoring data around a nuclear power plant show that the proposed algorithm can impute the missing gamma dose rate data accurately.
Research on Improved Image Enhancement Algorithm Based on Fuzzy Set
Authors: Liu Xi Wen , Liu Chao Ying
Published: December 2012

According to the shortcomings of the traditional fuzzy enhancement algorithms, several improvements are proposed. In this improved algorithm, the membership grade functions and fuzzy enhancement operator are made up of piecewise and continuous functions, the image is divided into two regions by OTSU method, one is high grey region, the other is low grey region, pixels in the high grey region are enhanced, and pixels in the low grey region are reduced. Simulation results show that this algorithm has good ability to enhance blur and little edges, and it is an effective and efficient way to increase image’s contrast.
Analysis of Airplane Timing Equipment’s Automatic Test Based on ATS Platform
Authors: Zhan Xiang Xin , Hao Shi Yong , Si Jian Fei , Zhang Yuan Feng , Yu Chun Feng
Published: December 2012

Test airplane timing equipment automatically is usually difficult because of great working current and strong electromagnetic interference . This article analyzed automatic test on airplane timing equipment based on ATS platform that uses digital I/O module and VXI bus, which can reduce the impact of the device operating current on the system. Moreover, the method can execute parallel test on several working hours at a time.
Research on a Kind of Distribution Selection Method for Right Censored Data Based on Data Expansion Algorithm
Authors: Wu Jin Huang , Liu Hai Bo , Wang Yi Dong , Lei Jun Wei
Published: December 2012

A kind of distribution selection method is researched for the right censored data situation. It can be widely applied in life sciences, medicine and health, reliability engineering, aerospace , social sciences and other related fields. By using a common PL estimation curve as a basic curve, a kind of distribution selection method is proposed to solve the parameter distribution problem of right censored data. This method can meet the selection requirement of data distribution in reliability assessment and other data analysis. It can guide the engineer and technician to choose a reasonable choice of the fitting of the data distribution, and it can improve the accuracy and efficiency of the reliability assessment.
Application of the Compound Model of BP Neural Networks and Wavelet Transform in Image Definition Identification
Authors: Gong Rui Kun , Zhang Ya Nan , Wang Chong Hao , Zhao Li Jing
Published: December 2012

First, the background, significance and general implementation of the image definition identification are introduced. Then, basic theory of wavelet transform and neural network is expounded. An identification method of image definition based on the composite model of wavelet analysis and neural network is suggested．The two—dimensional discrete wavelet transformation is used to filter image signal and extract its brim character which is input into BP neural network for identification. 4 layers of BP neural network are constructed to perform image definition identification. The compound model is first trained by 90 images from the training set, and then is tested by 87 images from the testing set. The results show that this is a very effective identification method which can obtain a higher recognition rate.
An EEG Analysis Research For Epileptics Using Probabilistic Neural Network
Authors: Xu Xin , Song Jie , Hu Yan Ting , Shi Wei Xiang , Zhu Xu
Published: December 2012

Nowadays, diagnosis for epilepsy depends on many systems helping the neurologists to quickly find interesting segments from the lengthy signal by automatic seizure detection. However, we notice that it is very difficult, to obtain long-term EEG data with seizure activities for epilepsy patients in areas lack of medical resources and trained neurologists. Therefore, we propose to study automated epileptic diagnosis using interictal EEG data that is much easier to collect than ictal data. The research, therefore, aims to develop an automated diagnostic system that can use interictal EEG data to diagnose whether the person is epileptic. To develop such a system, we extract from the EEG data three classes of features which respectively are Petrosian fractal dimension, Higuchi fractal dimension and Hjorth parameters and build a Probabilistic Neural Network (PNN) fed with these features. Meanwhile, we also broach demand for data standardization by analysis with EEG of epileptic patients.
Object-Oriented Zhangjiangkou Mangrove Communities Classification Using QuickBird Imagery
Authors: Zhang Dong Shui , Cong Li Xia , Wang Zhi Qiang , Chen Hao , Wang Fang
Published: December 2012

Mangroves are among the richest ecosystems in terms of natural resources. Because of the similar spectral characteristics and complex spatial structure among different mangrove communities, it is still difficult to extract accurate mangrove communities covers from the very high resolution (VHR) satellite images, based on the conventional pixel-based classification methods. Object-oriented classification methods are proposed to process VHR images because they can incorporate as much information on spatial neighbourhood properties as possible into the classification process. On the basis of object-oriented classification method, the paper extracted the Zhangjiangkou mangrove communities using Quickbird image, through image segmentation, merge segmentation, computing and selecting attributes, K Nearest Neighbor classification, et al. Mangrove communities were eventually divided into six types, i.e. Aegiceras corniculatum, Phragmites karka, Kandelia candel, Cyperus malaccensis, Avicennia marin, Aegiceras corniculatum & Kandelia candel. The extraction accuracy is 85.7%. In this paper, through many experiments, the scale level was determined to 50, and the merge threshold was chosen as 90. In this case, the resulting segments of mangrove communities had a obvious spatial characteristics, and the boundary can be delineated well, which would be help for later information extraction. Considering mangrove communities characters, the following object attributes are generated and added : NDVI, texture, and AVGBAND. This research shows very encouraging results for the use of image segmentation and Quickbird data for mapping mangrove communities.
Managing Emergency Material Distribution Knowledge Using Ontology-Based Modeling for Emergency Distribution Decision
Authors: Zhang Li , Jiang Da Li , Ju Ya Rong , Wang Qian Zhu , Li Pei Pei
Published: December 2012

Aiming at the knowledge representation problem in emergency logistics, this paper presents an ontology-based modeling framework for emergency distribution decision. The suggested ontology model includes the meta-ontology, the domain ontology and the upper relationship, and it can be extended to meet the various requirements in emergency logistics application. As an illustrative example, an instance of Location Routing Problem (LRP) is defined using proposed ontology model, and a rule-based reasoning experiment is developed with Jena. The result of experiment demonstrates the effectiveness of the ontology modeling framework, which can be used as an important complement to traditional optimization methods for emergency distribution decision.
Marine Oil Spill Emergency Response Research
Authors: Yu Feng , Sun Xiao Feng , Zhang Xin Yu
Published: December 2012

Oil spill emergency response is a way of controlling and cleaning oil spill fast and effectively according to emergency plan; it would decrease the pollution of oil spill. Refer to the vessel oil spill emergency response system status of China, based on the research of vessel oil spill emergency response system, this paper analyzes the function and parameter of a variety of oil spill emergency equipments, then does 3d modeling to WQJ1000 oil containment boom, this is of special interest to the oil spill emergency response system simulation.
Parallel Computing Application in Rectangle Packing Problem
Authors: Wang Xue Chun , Jin Zong Xin
Published: December 2012

With the increasing mass data processing and requirement on interactive concurrency, parallel computing became the popular issue as one main method for improving service capability. The content and research objective of parallel computing were introduced, and the parallel computing based on divide-and-conquer for solving rectangle packing problem was designed with two processors, and achieved. The efficiency and quick solution of parallel computing were verified through the comparison with serial algorithm as well as analysis.
Building Bridges among Local Area Networks
Authors: Chen Jing
Published: December 2012

This paper introduces the principles and functions of network bridge. The bridge is a storage and forwarding device that connects two LANs. It can be used to connect networks with the same or similar system structures, then the networks being connected would have the same logical, linked control procedures. It is a data link layer connection, and it helps achieving communications between different LANs.
Design and Kinematic Analysis of a New Grapple Mechanism
Authors: Deng Fei , Chen Jin Bao , Chen Meng , Peng Fu Jun
Published: December 2012

Combined with China's demand for space station construction, a new type of lock system for end effector is developed. This grapple mechanism makes grappling, pulling and rigidization in one mechanism which is simple construction and high reliability. The composition and the working principle of this grapple mechanism are introduced. Then, the singularity of the mechanism is analyzed and its kinematics equations are established. The parameter variations are obtained by using PROE. The results show that the working process adapts to the variation of the motion and force between the end effector and target adapter perfectly.
Research of Digital Watermarking Algorithm Based on DCT Transform
Authors: Zhang Yin Juan
Published: December 2012

In order to protect the copyright of the multi-media information effectively, this paper research a digital watermark algorithm based on DCT transform in an image. The digital watermark is embedded in the middle-frequency part of the host image to protect the original multi-media information. The simulation result shows that the hiding watermark extracted has good robustness with common signal distortion or geometric distortion and the quality of the watermarked image is guaranteed.
Early-Warning Model for Tourism Environment Carrying Capacity in Scenic Spots Based on Fuzzy Inference
Authors: Yang Xiu Ping , Li Er Chao
Published: December 2012

Early-warning system of tourism environment carrying capacity (TECC) in scenic spots is a highly complicated nonlinear system. It is very difficult to establish an accuracy mathematical model. Fuzzy inference system adapts to the nonlinear system that doesn’t get an accuracy mathematical model and has uncertain factor. It has strong robustness and adaptability. Index of early-warning system of TECC in scenic spots is established, extracts fuzzy rules based on historical data, and simulates the early-warning system based on fuzzy inference. At last, taking Nandaihe international amusement centre scenic spot as an example proves that the early-warning model designed is feasible and effective.
The Vestibular System Modeling in the Head and Eye Movement Research
Authors: Wang Chang Yuan , Yao Bing , Bi Hong Zhe , Jia Hong Bo
Published: December 2012

Head and eye movement is eye movement response to head movements ,the eyes are the signals generated by the vestibular system is movement.The vestibular system is important to feel the organs and tissues of the body movement,Can be said that the vestibular system response to head movement, eye movement associated with the vestibule.We can use eye movements comparing with normal eye movements to detect whether the dizziness,in this process the modeling of the vestibular system is very important.Paper summarizes the response of head and eye movement system, vestibular system in the head and eye movement systems vestibular system exercise and Research at home and abroad, raised modeling method of the head and eye movement system when turn the head.
A Framework for Filtrating Software Measures in Software Measurement Process
Authors: Wang Jin Zhu , Ding Jian Jie
Published: December 2012

Software measures filtration is important but often been neglected activity in software measurement. A framework for software measures filtration process that not only satisfied measurement goals but also matched organization capability is been presented. In this framework, software measures that get by GQM been evaluated on the evaluation criteria. The fuzzy mathematic expectation has been proposed to calculate measures evaluation value. The algorithm of verify goal achievable has been described. The framework ensures that measures set are most appropriate.
Research and Implementation on XML-Based Data Exchange Platform
Authors: Zhao Li , Deng Feng , Du Si Feng
Published: December 2012

The data exchange platform aims to provide an integrated, standardized and standard-complying data exchange framework for the business systems inside and outside the enterprises and solve the “information island” problem caused by differences among the application system, database, data definition and running environment. This paper designs a cross-platform, cross-system, secure and reliable data exchange platform, proposes a method for data conversion standard and implementation of isomerous data transform method and function of the integration and conversion of the isomerous data in enterprises and implements a prototype system. This data conversion technology features high efficiency, standardization, high security, openness and scalability.
The Research and Application of Sorting Algorithm in Aircraft Scheduling Problem
Authors: Xu Hai Rong , Yang Lu Hui , Huang Qiang , Wang Jian
Published: December 2012

The Aircraft scheduling problem is researched in this paper, the equilibrium model of aircraft scheduling problem is proposed and a sorting algorithm is constructed. By introducing the concept of flight connections, aircraft scheduling problem is transformed into the distribution of flight connections, the mathematical model of the problem is established, to solve the model, a sorting algorithm is constructed. We use the airline's flight data to test the algorithm.The simulation results show that the model and the algorithm are feasible.
Numerical Simulation of Overpressure about Muzzle Blast Flowfield
Authors: Guo Zhang Xia , Pan Yu Tian , Li Kui Wu , Zhang Hai Yan
Published: December 2012

The high pressure waves created due to muzzle blast flowfield through the gun barrel during firing is a critical issue to examine. The impulsive noise from the gun has various negative effects such as damage of human bodies, damage of structures, creating an environmental, social problem and also military problems, so beyond the range of a flow field was simulated numerically. The calculation was based on the 2D axial symmetry Navier-Stokes equations and standard k-ε turbulence model. From numerical simulations, wave dynamic processes are simulated and discussed. The pressure variation of the blast flowfield is analyzed , The results of this study will be helpful in understanding muzzle blast wave and designing silencer .
Efficient Front-End Cache for XEN Virtual Block Device
Authors: Mi Xiang , Ye Wei , Liang Alei
Published: December 2012

Xen’s VBD (virtual-block-device) driver is proved to be an efficient solution for block device virtualization, which can achieve nearly 90% performance of bare mode. However, long call path, heavy involvement of hypervisor and redundant context-switches are still obstacles preventing current frontend-backend virtual disk driver from reaching a more efficient level. In this paper we proposed a cache-based method to improve the performance of Xen’s VBD driver. By implementing a cache which buffers recent frontend disk requests, guest is given the opportunity to complete read virtual disk independently without any involvement of Dom0 and XEN hypervisor. Result shows that our cache can brings great improvement of performance to Xen’s VBD driver.
Traffic Status Prediction and Analysis Based on Mining Frequent Subgraph Patterns
Authors: Xu Gang , Jin Hai He , Liu Jing
Published: December 2012

With the development of the city, the traffic congestion and traffic accidents on the urban road increase frequently. Using traffic modeling and analysis to improve the traffic conditions become more important. Now, using the traffic flow model to study the traffic problems has made many achievements. However, traffic flow model cannot be a good choice for describing the relations of the traffic element at a specific moment, but these relations are indeed significant for forecasting traffic status from that moment on. In this paper, a graph model for the static traffic was studied, and then analyzed the feature of a graph substructure for traffic congestion at one moment. We propose an effective frequent subgraph mining algorithm to find the frequent substructure that represent traffic congestion status in a graph. Our mining algorithm can enhance the efficiency of finding the congestion subgraph. Analyzing the proportion of the congestion subgraph in a graph for traffic to forecast the traffic status at that moment later, thus to find ways to improve traffic conditions.
Architecture Design of Urban Intelligent Transportation Using Cloud Computing
Authors: Wang Ji Zhe , Wang Zhan Jie
Published: December 2012

This article does a further research on the technologies of cloud computing and intelligent public transportation, designs a human-centered intelligent public transportation system, improves the connection between passengers and vehicles, vehicles and vehicles. Technologies of BeiDou messaging, capacity sensor, RFID and Web are used to improve the intelligence of public transportation information platform. This article makes an architecture design in intelligent transportation based on cloud computing and uses the embedded system as the core. The architecture allows passengers to obtain needed vehicles’ information through various services whenever and wherever, and strongly supports intelligent control and schedule of multi-vehicles and multi-lines. The system lays a good foundation for the intelligent city.
Study on Teaching Method of Project in the Operating System
Authors: He Ling Na , Gu Guo Min , Chen Bo
Published: December 2012

Teaching method of project is a teaching activity through the implementation of a project. Operating systems course is a highly theoretical course, and there are some problems using traditional teaching methods. The teaching method of project combines theory and practice of teaching in the classroom. Through assistance of the demonstration system and virtual experimental platform, this trains students’ ability to solve practical problems and improves the overall effectiveness of teaching.
Fuzzy Information Axiom in Conceptual Design Scheme Evaluation of Handling Equipments
Authors: He Qin , Zhang Rui Jun , Guo Nan , Cong Dong Sheng , Qiu Ji Wei
Published: December 2012

Applying fuzzy information axiom in product concept design, the evaluation method for design schemes based on fuzzy information axiom was built and the insufficient of estimation in qualitative indexes was overcome. Actual membership function curve was selected conform to different index types, and fuzzy language of qualitative indexes is numerical. Through computing information content of each product scheme, the optimal scheme was selected with the unified metrics. The model was applied in scheme evaluation of handling equipment in stereo garage and its effectiveness was verified. Meanwhile, the optimal design scheme of handling equipment in vertical rotary stereo garage was obtained and the theoretical foundation was provided for handing equipment.
Intelligent Design of Mechanical Products Based on Function-Knowledge-Structure
Authors: Cao Fei
Published: December 2012

Mechanical products design process always focuses on the description of product structure information, while lacking of the expression and application of function and knowledge information. This paper proposes an intelligent design approach of mechanical products based on Function-Knowledge-Structure (FKS). The gene coding of function, knowledge and structure are constructed, and the correlation matrix of the Functional-Structure (FS) and Knowledge-Structure (KS) are introduced to calculate the fitness function. A case study of the conceptual design on bag forming, filling and sealing machine shows the intelligent design process based on FKS.
Design and Simulation of Visual Miniature Loop Heat Pipe
Authors: Chen Yan , Qu Yan , Zhang Shu Sheng
Published: December 2012

A miniature loop heat pipe (MLHP) with a glass condenser was designed and manufactured. Stress analysis on compensation chamber/evaporator and glass condenser is made to confirm strength of loop heat pipe using the software MSC NASTRAN. Results indicate this new structure loop heat pipe can meet the design requirements and secure to work well. A system level performance analysis was made about heat transfer and fluid flow characteristics inside loop heat pipe using the software of SINDA/FLUINT. This miniature loop heat pipe realized visualization research of phase change phenomenon to some extent.
A Fast Point-Sampled Model Denoising Algorithm for Product Design
Authors: Li You Sheng
Published: December 2012

Denoising is an essential step in creating perfect point-sampled models, which are widly used in the field of product Design. As the bilateral mesh deoising method by Fleishman has been extended to 3D point-sampled model, which is not efficient enough. For the reason, a method is proposed that using the quasi-Cauchy kernel to replace the Gauss kernel used in the bilateral filtering algorithm, so that the efficiency of the algorithm is improved. Experiments show that the method can eliminate the noise on the surface of the point-sampled model effectively and meanwhile the sharp features of the surface are preserved well．
Stress Analysis of the Adhesive Used in a Hard Disk Drive Bearing Assembly Using Finite Element Model
Authors: Vengsungnle Ponthep , Tangchaichit Kiatfa
Published: December 2012

The objective of this work is to determine the strength of the adhesive injected into the gap between the bearing and actuator arm surfaces under changes of nozzle position on the X and Y axis from the reference position using a finite element model. In this study, maximum stress and maximum shearing stress are used to indicate the adhesive strength. The minimum safety factor then is calculated to show the ratio of the yield strength to the maximum strength. The volume fraction is used to estimate the amount of adhesive on both parts of the bearing assembly. The result show, the maximum stress and strain peak for the case (0.25, 0.2) mm, σmax= 554.4 MPa, τmax= 319.6 MPa and Sfmin= 0.10. Setting the nozzle position to coordinates (0.2, 0.3) mm gave the lowest stress, σmax= 69.0 MPa, τmax= 39.2 MPa and Sfmin= 0.63. The nozzle position significantly affects the adhesive strength. If the nozzle is moved closer to the actuator arm, the stress distribution is better than placing the nozzle near the bearing. Therefore the suitable position for injection is (0.20, 0.30) mm, while the worst poor position is (0.25, 0.2) mm.
Innovative Design of Hydraulic Driving Drum for Belt Transfer Machine
Authors: Zhang Xin , Hou Yu Bin , Yuan Jun Hua , Sun Chuan Qi
Published: December 2012

Based on hydraulic driving technology, this paper designs a novel hydraulic driving drum for belt transfer machine. The hydraulic motor installs inside the drum, which can direct drive the drum and don’t need to decelerate. The hydraulic driving drum has compact structure and a wide speed control range, which is adaptable to drive the belt transfer of the roadheader substituting traditional electric driving drum. It can improve the tunneling efficiency of coalmine and ensure mining balance.
Design and Research on Wind-Solar-Diesel Hybrid Generating System at High Altitude
Authors: Mao Long Bo , Wang Wei Jun , Yi Bin , Dai Qiang , Mi Hong Ju , Yuan Tao
Published: December 2012

At the high altitude, the construction of wind-solar-diesel hybrid power station is a effective measure to solve the problem of power supply in remote areas. Combining with the local natural resources, in order to ensure the reliability of the power supply and heighten the price-performance ratio of the system, designing the wind-solar-diesel hybrid power station in reason is of great significance for increasing the prevalence rate of the wind-solar-diesel hybrid power station.
Collaborative Design Optimization of Main Movement System of Hydraulic Piston Engine
Authors: Xue Dian Lun , Zhang Hong Xin , Liu Ying
Published: December 2012

Hydraulic confined piston engine (HCPE) is a new type power device directly turning indicating work into hydraulic power, whose working process is related to many disciplines. The optimal design of its main movement system is very important for improving performance. Based on the minimum volume, the MDO model was constructed. The model includes systematic level optimizing model and disciplinary level optimizing model of crankshaft and connecting rod. Computed with collaborative optimization method, the total volume reduces by 12.62%, among which the volume of connecting rod increases by 9.26%, but crankshaft reduces by 14.06%. The result is more integrally optimal because of considering the collaborative effect between subsystems.
Product Style Map — An Effective Tool for Product Strategy Planning
Authors: Han Ting , Sun Shou Qian
Published: December 2012

Product is a platform with which the companies and the consumers communicate with each other. The product style contains two kind of information - one from the companies and the other from the consumers side. Product style map is an effective tool for product strategy planning. In this study, word processing technology was firstly investigated including methods of new words identification, words semantic measurement, and new words explanation. Consequentially, Product Style Keywords Map was produced with the fore mentioned technology, dynamic SOM model was adopted to cluster the product style keywords. A visualization and interaction structure was set up based on Flex technology.
Design of Manufacturing Logistics Service Platform in a Certain Area
Authors: Zhao Hai Li
Published: December 2012

Effective logistics performance in manufacturing enterprises is always viewed as one main source of their competitive advantages and as the key element in the success of enterprises. Establishing logistics service platform for manufacturing business in the region fits well in with needs which appeal to strengthen the cooperation between logistics enterprises and other enterprises, to allocate social logistics resources and to optimize supply chain. Combining forward-looking perspective with phased process, the design of logistics service platform should take a few elements into consideration, such as, the characteristic of local manufacturing business and its demands; in the meantime, some service functions must be equipped as well like logistics transaction-dealing, storage, distribution, freight forwarder and safety certificate and so on.
Optimization Design Research on Manual Piston Pump
Authors: Liu Nan , Liu Jin Li , Fang Bao Hua , Zhang Hong Wang , Shao Wei Guang
Published: December 2012

As the research object a manual piston pump is designed lightweight, by using optimization theory and FEM&CFD software. The manual piston pump body and the end cover are designed proper structures according to the flow field and the structure strength. The optimized design and analysis calculation provide credible theory, and lay the foundation for the engineering application design and manufacturing of the product.
Motorcycle Modeling with SimMechanics
Authors: Wu Hai Dong , Xu Hai Bin
Published: December 2012

A new motorcycle multi-body modeling technique with SimMechanics was presented which can be used in vehicle handling and stability analysis. The established model included tyre nonlinear characters and vehicle frame compliance. Combining with motorcycle driver model, established in Simulink, a typical vehicle handling test was implemented. With Simulink Virtual Reality, the animation of the motorcycle test was realized.