bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Supply Chain Auto-Negotiation System Model Based on Multi-Agent System and CBR
Authors: He Xu
Published: June 2011

Under dynamic complicated supply chain environment, negotiation efficiency among supply chain members exerts direct influence on the whole performance and competiveness of supply chain. This document combing multi-agent and CBR, puts forward a new supply chain auto-negotiation system model. It analyzes retrieve, reuse, revise and retain of supply chain negotiation case, and establishes supply chain auto-negotiation model based on multi-agent. This system model is helpful for making full use of supply chain historic negotiation experience and experts’ knowledge. It is highly intelligentized which is propitious to promote supply chain negotiation efficiency.
Design and Implementation of the Internet Service Platform for Rural House Building Technique Criteria and Management Based on .NET MVC
Authors: Lin Yong Liang , Hu Jian Ping
Published: June 2011

NET MVC is a program framework for developing large web applications. It divides the development of program into three parts to design, greatly enhances the reusability, expansibility and maintainability of web applications. Based on the above features of .NET MVC and the ideas of software engineering, we design the system framework, technology route and main function modules of the internet service platform for rural house building technique criteria and management. At last, based on C# and LINQ, this paper completed a part of codes of the system.
A New Model for Displaying Mixed Text of Uighur, Chinese and English
Authors: Wang Ting Mei , Chen Ge
Published: June 2011

The paper put forward a Model for displaying Uighur according to differences of direction, Font and width between Chinese and Uighur, and introduces key algorithm to implement the model including displaying direction adjusted, displaying location transformed and invert selection. The Model is used to implement a text editor of processing mixed text of Uighur, English and Chinese. The Model is also applied to process displaying of others languages.
Wood Recognition Based on Histogram Matching Algorithms
Authors: Xu Tian Long , Wang Hang Jun , Sun Ling Jun
Published: June 2011

The influences that different histogram matching algorithms have on identifying the softwood are research in this paper. The experiment partitions images according to three different ways of early wood-late wood transition, early wood, and randomization, and extracts the PCA(Principle Component Analysis) features of these wood images separately. Dividing Histogram matching algorithm into two categories of, bin-to-bin and cross-bin, experiments are conducted on wood recognition by four different histogram matching algorithms of the Euclidean, Chi-Square, EMD and Quadratic-Chi. The experimental results indicate that the histogram matching algorithms of cross-bin have the good effects on wood recognition, especially the quadratic-Chi distance put forward recently.
A Modified Box-Counting Method to Estimate the Fractal Dimensions
Authors: Xu Jie , Lacidogna Giusepe
Published: June 2011

A fractal is a property of self-similarity, each small part of the fractal object is similar to the whole body. The traditional box-counting method (TBCM) to estimate fractal dimension can not reflect the self-similar property of the fractal and leads to two major problems, the border effect and noninteger values of box size. The modified box-counting method (MBCM), proposed in this study, not only eliminate the shortcomings of the TBCM, but also reflects the physical meaning about the self-similar of the fractal. The applications of MBCM shows a good estimation compared with the theoretical ones, which the biggest difference is smaller than 5%.
Solution to the 0-1 Multidimensional Knapsack Problem Based on DNA Computation
Authors: Wu Kee Rong , Yeh Chung Wei
Published: June 2011

We proposed a two-layer scheme of Deoxyribonucleic acid (DNA) based computation, DNA-01MKP, to solve the typical NP-hard combinatorial optimization problem, 0-1 multidimensional knapsack problem (0-1 MKP). DNA-01MKP consists of two layers of procedures: (1) translation of the problem equations to strands and (2) solution of problems. For layer 1, we designed flexible well-formatted strands to represent the problem equations; for layer 2, we constructed the DNA algorithms to solve the 0-1 MKP. Our results revealed that this molecular computation scheme is able to solve the complicated operational problem with a reasonable time complexity of O(n×k), though it needs further experimental verification in the future. By adjusting the DNA-based procedures, the scheme may be used to resolve different NP-hard problems.
The Application Research of Information Interactive Feedback Teaching Model in Wushu Routine Class
Authors: Wang Yi , Ye Zhi Qiang , Yan Run Guo
Published: June 2011

The present sports teaching model research is inevitably single functional and lack of interactive, the students can hardly encouraged which especially reflected in sports teaching model system research, meanwhile, it also weaken the operability of sports teaching model. Thus, it is necessary to combine practical teaching with sports teaching model during systematical research, and it is propitious to the sports teaching reform of our country. Though the construction and demonstration of information interactive feedback teaching model, this paper shows that: with student as subject and dominated by teachers, the information interactive feedback teaching model is a systematical model with the combination of teaching and learning, it can effectively improve teaching level, help to achieve teaching objectives and accomplish teaching tasks.
Identifying Transformer Inrush Current Based on Artificial Neural Network
Authors: Xu Hang , Yang Xu Hong , Ye Jian Hua , Qian Hong , Xue Yang , Liu Gang
Published: June 2011

In this paper, lots of digital simulations of transformer magnetizing inrush current and fault current have been done through Matlab software. A neural network method used to identify magnetizing inrush current has been proposed and established. The simulation results show that this method can identify magnetizing inrush current well, with high accuracy.
A Study of a New ELID Grinding Fluid by BP Neural Network Model
Authors: Li Wei , Fan Yu Jie
Published: June 2011

Electronic in-process dressing (ELID) grinding will be a main technology of ultra-precision grinding which has been widely adopted to the ultra-precision and high effectively machining of hard and brittle materials. This study puts forward a new environmental friendly bamboo charcoal bonded (BCB) grinding wheel and develops a new ELID grinding fluid. An oxide layer is mostly determined by the electric performance of grinding fluid in the experiment. This paper founds a model to forecast grinding fluid’s electric performance by BP neural network and MATLAB. This method can be used in developing of ELID grinding machining fluid to improve the ELID grinding effect.
Surface Fitting of Parametric Improvement Based on Original Points
Authors: Wu Xiao Gang , Guo Wei Qing
Published: June 2011

During the fitting of parametric curves and surfaces, selecting the parameters based on original points is very important, because it will affect the result of the fitting. In this paper an improved method of fitting surfaces by improving the parameters is proposed, this method is based on original points to interpolate NURBS curves and surfaces, it uses uniform knot vector, which is not affected by the distribution of original points, and it can reduce the amount of computation and improve some phenomena, such as break points and encircle. The results show that using this method can get satisfying figures.
An Improved Validation Algorithm of Workflow Model Rationality
Authors: Pan Hai Lan , Wu Cui Hong , Wu Jia Qi
Published: June 2011

Workflow technique has been successfully used in many enterprises, and workflow modeling is one of the most important links, a successful application of workflow model can lay a solid foundation for realizing automation and monitoring of enterprise’s business process. This paper firstly points out the necessity of rationality validation in workflow model, then analyzes all kinds of existing validation algorithm of workflow model rationality, and emphatically describes a validation algorithm based on Petri net. At last this algorithm is improved, and the correctness of the algorithm is verified by an instance.
Risk Assessment Model Based on SVDD and Fuzzy Regression Method
Authors: Zhou Hui Li , Chang Wen Bing , Zhou Sheng Han
Published: June 2011

The paper aims to solve the problem of insufficient high risk data in risk assessment of R&D projects. A one-class classification method called support vector data description (SVDD) is studied, and an intelligent risk assessment model based on SVDD with fuzzy regression information is also proposed. The model comes into being a new approach. Applying this approach, firstly verify the conversional risk evaluation indexes by fuzzy regression technique to develop a sensitive index system. Secondly the study uses the historical risk data referring to these indexes to train the SVDD one-class classifier. Unlike previously proposed intelligent methods of risk assessment, with this model the risk level can be distinguished only by training of low risk data. The results of its application on an example show that the method is feasible for risk assessment with the fuzzy high risk data.
The Viewable Distributed Simulation Linkage Development Tool Based on Factory Mechanism
Authors: Zhang Yuan , Zhang Li Min
Published: June 2011

High level architecture (HLA) establishes a common simulation technology framework, which supports the linkage between different simulation models, and represents the latest development direction of the distributed simulated. Considering the unity and telescopic expandability of the network linkage interface, the simulation linkage engine development tool was designed and realized. Firstly, the basic characteristic of simulation linkage platform were analyzed, and then the solution of simulation linkage engine was provided during the design and development, finally, the viewable and general development tool supporting the distributed simulation linkage was designed, which provided a high-effective, flexible and shortcut integration platform.
Mine Location Algorithm Based on Multiple Linear Regression
Authors: Wang Xiao Ying , Chen Ying Ge
Published: June 2011

This paper put forward a mine location algorithm based on multiple linear regression, which using only simple RSSI value to get a higher location accuracy under long narrow and sensitive mine environment. General RSSI measurement method and its drawbacks are discussed in the paper. In order to acquire smaller location error, we filtered some abnormal RSSI data through Gaussian filter method. And we deduced regression equation according to multiple linear regression principle. Combined with training sample, we got their regression parameter. We did relevant location experiment again in the same environment---40m long and narrow bomb shelter which may imitate mine tunnel to a great extent, which shows that the total errors are limited in 3m and 75% errors are less than 2m. What’s more, it can be extended to infinite measuring range with the same set regression coefficient in similar environment.
A Study on the User Innovation Toolkit Model Based on Interactive Genetic Algorithms
Authors: Sun Yan , Liu Xiao Jian , Wang Wan Liang
Published: June 2011

A technical plan for realizing user toolkit for innovation (UTI) is proposed to release the vast creative energy of users, and help to make users qualified for the subject of innovation work. The model discussed in this paper is mainly aiming at two key problems in user innovation: 1) the essentials and technical access for the innovaiton style in the non-professional background of the ordinary users; 2) mechanism for driving innovaiton and optimization through user’s evaluation message. Interactive genetic algorithms (IGA) is applied to plan the functions of UTI, and is improved in several aspects for the demands of user innovation: 1) designed a selection based interactive evaluation method; 2) introduced market data as a kind of evaluation information; 3)built an integral user innovation decision making system; 4) visualized the optimizaion process, which enriched user’s perceptive interaction with UTI during working. The model also made regulations to IGA’s inner process, which strengthened IGA’s analyzing and mining ability to user’s evaluation information through latent local optimal chart making, solution space down-sizing and continuity building for discrete space.
NSCT De-Noising Algorithm Based on Image Partition and Noise Variance Estimation
Authors: Liu Yue , Li Yi Bing , Xu Yong
Published: June 2011

Aiming at the low de-noising effect of texture detail in the image, a NSCT de-noising method based on image partition and noise variance estimation was proposed. Since NSCT has the features of translation invariance and multi-directional selectivity, and noise has different impacts on different textures of image, the image can be divided into several blocks with the same size, then the noise variance and threshold of each block will be calculated, furthermore, NSCT is used to denoise each block, and finally, the blocks are merged. The experiments proved that by comparison with traditional NSCT de-noising algorithm, the proposed algorithm effectively preserved the texture detail information of original image.
Design of Structure of Debugging Software in CPU Based on JTAG
Authors: Zhang Ping , Xing Zuo Cheng
Published: June 2011

It is important to own the capability of debugging application and system software and multitasking system in the design of microprocessor at present. In this paper, we proposed a debugging structure based on JTAG port and combined with boundary-scan technology and interrupt system, which can allow users to debug software procedure by the debugger which is connected to JTAG port. It is easy to form a standardized structure and applicable to all general-purpose CPU and only increases the difficulty of the circuit logic design.
Enhanced Epipolar Constraint for Point Correspondence in Computer Vision System
Authors: He Qing , Wei Ning , Liu Wei , Hu Chao , Meng Q. H.
Published: June 2011

Some projective points (2D-points) of the same 3D-point captured by different cameras are called corresponding points. The task of finding the corresponding points is named as point correspondence. It is a essential problem in computer vision, and it paves the way for 3D reconstruction. Epipolar constraint is a widely-used geometric constraint for point correspondence, some methods based on it have been proposed for this task. However, the threshold is set by empirical approach in these methods; this approach is influenced by the parameters of cameras. On the other hand, epipolar constraint is not a sufficient condition for this task; this will result in the mismatch for two 2D-points. According to the rule of Propagation Uncertainty and practical situation of the computer vision system, this paper introduces the enhanced epipolar constraint comprising normalized coplanar constraint, nonparallel constraint and interval constraint. The normalized coplanar constraint provides a simple and rational method to set the threshold of epipolar constraint; the nonparallel constraint and interval constraint can reduce the occasion of mismatch.
Edge Detection of IR Image via Chirplet Fractal Dimension
Authors: Xie Xu Liang , Hui Ali
Published: June 2011

A new idea, using chirplet as the staff to define fractal dimension, is proposed in this paper, based on self- similitude of knowing essence of things from collectivity to part, from macroscopy to microcosm, in fractal theory and chirplet transformation. Chirplet fractal dimension is defined as the sum of high-frequency values of decomposed signals. The edge of infrared image is detected through chirplet fractal dimension, experimental results show that this new algorithm is simple and effective to detect whole contour and detail information, and is better than other traditional operators.
Infrared Image Edge Detection of High Voltage Insulator Chain
Authors: Hui Ali
Published: June 2011

A new method for image edge detection based on envelope curve of histogram is proposed, aimed at the characteristics of high voltage transmission line. In order to inhibit noise influence on infrared image, envelop curve of histogram, got from Savitzky-Golay(S-G) filter, is used to smooth the image, and the edge of infrared image can be detected based on the extreme points of the envelop curve. Experimental results show that this new algorithm is simple and effective to detect whole contour and detail information, and is better than other traditional operators.
A Remote Intelligent Monitoring System for Large Scale Photovoltaic Power Plant
Authors: Yu D. J. , Chen Y.H. , Zhen Z. , Qi Y. , Lin L. S.
Published: June 2011

This paper designs a GPRS-based system to effectively monitor and control large scale Photovoltaic Power Plants. Single-Chip microcomputer with high performance is utilized to collect data from different types of photovoltaic devices; the collected data are then sent to the server via GPRS; the server receives and intelligently analyzes the data. The operators can monitor and control the running status of photovoltaic devices by executing a simple client tool. The implemented system has been applied in several Photovoltaic Power Plants.
Study about Fresh Agricultural Products Inventory Optimization
Authors: Xie Xiang Tian , Zhang Jin Shan
Published: June 2011

This document builds up the inventory control model of fresh agricultural products based on the expected loss of inventory costs (purchase costs, storage costs, shortage costs and the loss of cost with perishable characteristic of fresh agricultural products). The optimal order quantity is obtained through derivation of the model function. Finally, the numerical example has proved this method to be effective.
The Algorithm of Redundant Robotic Kinematics Based on Exponential Product
Authors: Ge Xin Fen , Jin Jing Tao
Published: June 2011

The intrinsically redundant series manipulator’s kinematics were studied by the exponential product formula of screw theory, the direct kinematics problem and Inverse kinematics problems were analyzed, and the intrinsically redundant series manipulator’s kinematics solution that based on exponential product formulas were proposed; the intrinsically redundant series manipulator’s kinematics is decomposed into several simple sub-problems, then analyzed sub-problem, and set an example to validate the correctness of the proposed method. Finally, comparing the exponential product formula and the D-H parameters, draw that they are essentially the same in solving the manipulator’s kinematics, so as to the algorithm of the manipulator’s kinematics based on exponential product formulas are correct, and the manipulator’s kinematics process based on exponential product formula is more simple and easier to real-time control of industrial.
Research on Design Management for Product Whole Life Cycle
Authors: Fan Wen , Yu Sui Huai
Published: June 2011

To realize effective management in product whole life cycle among different departments of enterprise, design management model oriented to product whole life cycle was studied. Combined with practical case, the research of its usage has been made. Result revealed that the design management model oriented to product whole life cycle provided the basis for entire phases in product whole life cycle, such as design, manufacture and sale, etc, which maximally satisfied enterprise requirements.
Wavelet Transforms of Image Reconstruction Based on Compressed Sampling
Authors: Wang Yan Wei , Yu Hui Li
Published: June 2011

A compressive sensing technique for image signal to cope with image compression and restoration is adopted in this paper. First of all wavelet transforms method is applied in image compressing to preserve the constructive, Secondly, sparse matrix is available by required wavelet ratio. Thirdly, the compressing image is used to restoration the original image. Experimental results show that the proposed algorithm is effective and compares favorably with existing techniques.
A New Underground Target Identification Method Based on Ground Penetrating Radar Map
Authors: Lian Fei Yu , Li Qing
Published: June 2011

In this paper, we proposed a punctuated target identification method for underground homogeneous medium based on dielectric constant inversion algorithm. Its main idea is that, initially, Hough transform is used to locate the target characterized by hyperbola in a radar profile map, then a layer-by-layer waveform inversion algorithm is used to invert the dielectric constant on the location where the target lies. To guarantee the correctness of inversion, the transmission beam method is adopted to obtain initial parameters and calibration factors required by inversion. Through numerical analysis of the dielectric constant of the target, the classification of multiple targets in an underground medium can be confirmed. This method not only overcomes the failure of the traditional phase-comparison method to distinguish different kinds of targets in the same region, but also overcomes the limitation of the image processing method, in which it only classifies the target in a coarse-grained manner. Experimental results show that this method has many advantages, such as fine-grained classification, high precision, and multiple target identification, in the identification of underground targets.
Printed Circuit Board Assembly Optimization Based on Genetic Algorithm with Model Constraints of Polychromatic Sets
Authors: Du Xuan , Fang Zi Fan , Zhang Yi
Published: June 2011

Aimed at the optimization problem of printed circuit board (PCB) assembly workshop (WPCBA) with multiple assembly machines and tasks, combined with polychromatic sets and genetic algorithm (GA), an optimization method is presented to optimize PCB assignment, component allocation and PCB assembly sequence problem simultaneously. On the basis of the polychromatic sets theory, numerical contour matrix is presented to describe the constraint of machine and operation sequence for WPCBA optimization problem and formulate the constraint model. Constraint model guarantees that GA searches optimal result in the effective solution space and simplify the calculation of fitness value. Moreover, if the machine and assembly task are changed, through a simple modification of constraint model, the WPCBA problem would be optimized conveniently. Computational results indicate that the solution efficiency of WPCBA optimization problem can be improved significantly and the dynamical optimization can be implemented.
Identification of Simultaneous Equation Model in Econometrics
Authors: Tang Hou Xing
Published: June 2011

Identification is an important topic on simultaneous equation econometric model. It determines that whether the coefficients of the simultaneous equation models can be estimated. From the definition of identification perspective, this article will provide a new method about identification based on the relation between identified equations and the linear combinations of all equations.
A Simplified Real-Time Road Network Model Considering Intersection Delay and its Application on Vehicle Navigation
Authors: Zhu Zheng Yu , Liu Wei , Liu Lin , Cui Ming , Li Jin Yan
Published: June 2011

The complexity of a real road network structure of a city and the variability of its real traffic information make a city’s intelligent transportation system (ITS) hard to meet the needs of the city’s vehicle navigation. This paper has proposed a simplified real-time road network model which can take into account the influence of intersection delay on the guidance for vehicles but avoid the calculation of intersection delay and troublesome collection of a city’s traffic data. Based on the new model, a navigation system has been presented, which can plan a dynamic optimal path for a vehicle according to the real-time traffic data received periodically from the city’s traffic center. A simulated experiment has been given. Compared with previous real-time road network models, the new model is much simpler and more effective on the calculation of vehicle navigation.
Design and Implement of a TACAN Simulation Cabinet Turns On/Off
Authors: Li Ting Jun , Fan Ji Wen , Liu Zhi Yong , Wang Jie , Wang Lian Sheng
Published: June 2011

TACAN beacon is expensive. It can not meet the needs of training and learning. The use of simulation cabinet can effectively training the personnel who operate TACAN. There are two modes of TACAN beacon switch. They are automatic and manual. There is a SCM system in the simulation cabinet. The SCM system collects the state of switches, and controls the display. It communicates with the host computer through the serial port. The computer controls the SCM through the VB program. It can simplify the writing of SCM programming and the function expanding. The method is feasible effective by the experiment, and the simulation cabinet has practical value.
Eyes Location Based on Phase Congruency Images
Authors: Zhang Guo Yun , Guo Long Yuan , Wu Jian Hui
Published: June 2011

The paper focuses on eyes location under nonlinear illuminations. Considered phase congruency is insensitive to illumination, a novel algorithm of eyes location based on phase congruency images is presented. Firstly, the eyes are located roughly by integral projection. Secondly, Hough transform is used to determine the center of eyes after the images are transformed to phase congruency images. The results of experiment indicate that the algorithm is excellent in locating human eyes under nonlinear illuminations.
TRIZ Theory is Used to Improve Based on Gray Projection Algorithm for Electronic Image Stabilization
Authors: Wang Ni Hong , Tian Shao Qing , Zhao Peng , Wang Xin
Published: June 2011

TRIZ theory and electronic image stabilization technology and gray projection algorithm are introduced briefly. In the course of the study for gray projection algorithm used in forest fire monitoring system, the offset error estimation problem is encountered. Face to this problem, with provided innovation tools in TRIZ theory, we analyze this problem and resolve it through the pretreatment which re-select gray value. This method allows the algorithm to deal with obvious features of the image better. At the same time, it is showed that some help can be provided by TRIZ theory for computer algorithm design.
Optimization on WCL Algorithm for Localization in Wireless Sensor Network
Authors: Wang Qing Yu , Chi Wei , Sun Wei Zhuo
Published: June 2011

Weighted Centroid Localization (WCL) is an improvement algorithm of traditional Centroid Localization (CL) in wireless sensor network. In this paper, a regular pattern of relations between the accuracy and parameters of WCL was revealed and new methods of improving the accuracy of WCL were proposed. By searching the optimum weight functions and setting proper beacons deployment, the positioning accuracy is highly improved.
Design and Implementation for E-Educational Administration Compatible for Mobile Intelligent Platform
Authors: Ma Ren Zhi , Lou Xi Zhong , Chen Xiao Zhu , Wei Qing Jian , Xu Jia
Published: June 2011

The E-educational Management system based on Web technology is widely used in daily educational administration in universities at present, which greatly improves the quality and efficiency of educational administration. Along with the improvement of the performance of mobile network and the popularity of mobile intelligent platforms, it has become a popular trend that porting the applications from Personal Computer (PC) to mobile intelligent platform. In this paper, we propose an improved design of E-educational Administration compatible for mobile intelligent platform. The users in this system could accomplish the same operation on PC by using mobile network (CDMA / GSM / EDGE / TD-SCDMA / WCDMA, etc.) or Wi-Fi. The design of the system is largely improved while taking the restrictions on the display, manipulation, processing performance, power and network conditions of mobile intelligent platforms into account.
Noise Analysis and Eliminate Countermeasures for Car Audio System
Authors: Zhang Yong Xue , Zhang Ming Zhu
Published: June 2011

Automobile traffic has become the financial, entertainment, office and communications function as one of the mobile sites. In automotive design and manufacturing and modification, eliminating the noise of car audio systems to improve driving safety and the occupants enjoy audio and video quality is very important. This paper analyzes the car audio system composition, explains automobile noise is divided into mechanical noise and circuit system inner noise, circuit system noise inside mainly includes thermal noise, induction noise and transmission noise, and puts forward the relevant measures to reduce noise.
OntoRT: An Ontology Model for Role-Based Trust-Management Framework
Authors: Liu Xin Xin , Tang Shao Hua , Wei Kai
Published: June 2011

This paper presents OntoRT, an ontology model for Role-base Trust-management(RT) framework, which covers a large fragment of RT including RT0, RT1, RT2 and application domain specification documents (ADSDs). RT addresses distributed authorization problems in decentralized collaborative systems. OntoRT establishes a common vocabulary for RT roles and policies across domains. We describe OntoRT formally in Description Logic(DL) SHOIN(D) and DL-safe SWRL rules. Basing on our logical formalization it is feasible to authorize and analyze RT policies automatically via the state of arts DL reasoners. Finally, we show how OntoRT can be integrated with OWL-DL ontologies which are W3C standard for representing information on the Web. By referring to OWL-DL ontologies that provide rich domain knowledge, specification and management of RT policies are simplified.
DOA Estimation Based on Adaptive Digital Beam Forming and Engineering Realization
Authors: Wang Shu Man , Wang Wei
Published: June 2011

In this paper a DOA estimation algorithm based on ADBF technology is proposed. Hardware platform of DSP and FPGA is designed to implement the algorithm. The system is of stable performance and high reliability. The platform can be applied as general DOA estimator through changing ADBF algorithm.
The Roadway Surrounding Rock Delaminating Displacement Monitoring Technology Based on Moiré Technique
Authors: Luo Fang Liang , An Li Qian , Mao Ling Tao , Xu Jian Cheng , Li Lei , Jiang Yan
Published: June 2011

With the coalface excavates, surrounding rock of roadway will occur deformation in different degrees. When the rock deformation exceeds a certain limit, roof fall and spalling would occur. To prevent such accidents, it is very important to monitor deformation of the surrounding rock in real-time. In this paper, Moiré measurement theory is elaborated. The displacement device (GWG200(C)), based on moiré technique, are applied in ventilation tunnel of 1015 working face in Xing Ge Zhang Mine to monitor deformation. The real time datum of deformation are obtained. The system provides technique safeguard for safety production.
A Study of Information Collection Technology in Adaptive Learning Systems
Authors: Li Tian , Zhou Hong , Yuan Yu Bin
Published: June 2011

This paper is about the current trend of personalized education, which established a thumbprint information model of Adaptive Learning Systems on the basis of PAPI general model of information. We did some classified analysis and calculation study based on the information collection technologies, mainly about algorithms and improvements in the ID3. The useful data and reference are supplied in the system realization for adaptive teaching model.
Research on Key Techniques of ETG System
Authors: Du Yan Bing
Published: June 2011

By analyzing the features of ETG (Electronic Tourist Guide) system, this paper discussed the key technologies about its implementation: Map matching, attractions positioning and guide, route planning. We focus on solving map matching problem based on interpolation method and weight-based map matching algorithm, then we propose an attractions positioning and guide process; and also working on the route planning problem through an improved Ant colony algorithm.
Inventory Management in Competition Environment Based on Customer Service
Authors: Di Xiao , Xing Bao
Published: June 2011

Based on demand uncertainty, the paper studies inventory management decision of two competing supply chains from the perspective of customer service. The paper mainly discusses two different inventory strategies, which are widely used, that is, consignment stock and VMI, and analyzes the optimal policies under three competitive scenarios, which consist of using consignment stock in both supply chains (CC mode), using VMI in both supply chains (DD mode), and using consignment stock in one supply chain but VMI another (VC mode). The paper compares equilibrium inventory level and profit of supply chain in different competitive modes, and concludes that both supply chains use VMI is equilibrium, which means that when manufacturers have right to choose inventory management policy, they prefer VMI. But it isn’t paradoxical with the phenomenon that consignment stock is common in reality, because manufacturers are forced to use consignment by retailer’s channel power.
The Research on Modular and Parametric Design System for Beam Pumping Unit
Authors: Niu Wen Jie
Published: June 2011

This paper presents the idea that is the combination of beam pumping unit modular and parametric design by domestic beam pumping unit modular design research status. Based on functional approach, it collects the main structural characteristics parameters of serial module divided and does the parametric design. At the same time, it tests and analyzes the whole performance of design result by the kinematics and the dynamics. Based on the above, it develops the "beam pumping unit modular, parametric design system", and uses this software to design CYJ10-3-53HB pumping unit.
Privacy Protection Schemes against Easy Information Access
Authors: Hong Bi Gang
Published: June 2011

Information technology greatly facilitates our lives, and at the same time, people are able to invade personal privacy more easily than never before with the aid of recent technological advances. Reasons for this are discussed. Different protection models to meet the challenge are compared and a proper and improved one is proposed.
Global Localization of Terminal Service Robot Based on PTZ Vision
Authors: Niu Guo Chen , Xu Ping , Feng Qi
Published: June 2011

According to environment characteristic of airport terminal, a simple and feasible global localization method of terminal service robot based on PTZ vision is presented. Terminal signs are searched intermittently along “S” trajectory and zoomed by PTZ camera. To sight them accurately, the PTZ vision behavior based on fuzzy logic controller is designed. Then the signs will be identified based on SIFT features, and the global location of the robot can be finally gotten according to their location information and geometric pattern. The validity and practicability of this method are confirmed by actual robot experiments.
A Case Study: Logical Operators and Statecharts for Level Crossing Traffic Control Systems
Authors: Huang Yi Sheng , Liao Tso Hsien
Published: June 2011

Statechart has been utilized as a visual formalism for the modeling of complex systems. It illuminates the features on describing properties of causality, concurrency and synchronization. In this paper, we try to describe a behavioral logical operations language by using Statecharts. The logical operation is a data structure that is used to represent by a Boolean function. This paper used them to analyze the models which are modeled by using Statecharts. Their formalism provides a concept of propositional logic for presenting control strategy. Finally, an example of level crossing traffic control systems is examined successfully.
A New Extrinsic Calibration Method of Three-Dimensional Imaging Lidar and Camera
Authors: Jiao Hong Wei , Qin Shi Qiao , Hu Chun Sheng , Wang Xing Shu
Published: June 2011

Three-dimensional imaging lidar can offer the range information and CCD camera can offer the color information of the target. These two information can strongly supplement each other, the fusion of them is becoming a research hot point. The major problem of fusing lidar data and camera data is the coordinate calibration between them. In consideration of the traits of lidar and camera, a new planar object calibration method was proposed, which solves extrinsic matrix using the normal of planar objects. The rotation matrix and transfer vector are solved separately, which can simplify the calibration process and highly improve the calibration precision. The improved extrinsic calibration method was applied on texture mapping and reverse mapping, which show that our algorithm can gives good results.
Boundary Payoff Determination Approach for Time-Sensitive Services to Select Providers Online
Authors: Wang Rong , Shen Yi Min , Li Cheng Da , Qiu Jian Chuan
Published: June 2011

Service users in Service Oriented Architecture (SOA) need to choose provider from the candidates that respond their service requests in succession. For time-sensitive services, the user has to decide the optimal time to stop waiting for the next coming providers in order to shorten the total time. The Boundary Payoff Determination (BPD) approach is proposed in the paper to help the users to predict the payoff of each coming providers, and equips the users with practical conditions and steps to make proper decision. Simulation experiments show BPD superior to the existed methods and able to increase the QoS level of time-sensitive services in SOA.
Grid Generation Based on Symmetric Blend Functions of Boundary Information
Authors: Han Xu Li , Ren Ye Qing , Liu Xin Ru
Published: June 2011

Based on the knowledge of the grid curves on the boundary curves, we propose a simple grid generation method by direct computing of grid curves. A kind of symmetric blend functions is given. The expressions ofu-directional grid curves andv-directional grid curves with shape parameters are constructed. By choosing different shape parameters, different grid curves can be obtained. Some numerical experiments show that the presented method is effective.
Analysis Economic Characters of Yunji Township Walnuts
Authors: Zhang Hai Qing , Liu Yin Tian , Xu Hai Fei , Zhou Jian Jun
Published: June 2011

Yunji township of Jiangyou city is the particular characters of drought, poverty. The party committee and government try to find a getting wealth road with industry development goal "thousands acres of walnuts". The main contributions of this paper are: 1) Proposing improved PCA model to eliminate dimensional inconsistency and the difference of magnitude. 2) Adopting improved PCA model to analysis five fine walnut characters, and comparison with traditional PCA. 3) Getting the conclusion that Xiangling walnut is the most suitable for Yunji township cultivate.
An Interest Feature Spatial Approach for Personalized Recommendation
Authors: Liu Yin Tian , Zhang Hai Qing , Xu Hai Fei , Liu Ying Ming
Published: June 2011

To expand user's actions of personalized recommendation, this paper introduces an Interest Feature Spatial based Recommendation Model. This model combines both collection behavior data of network users and content data of web pages located by URL address. The main content includes: (1) Proposing the construction of interest feature spatial based on SHG-Tree; (2) Proposing the formula to calculate interest feature values of network resources; (3) Proposing four interest match algorithms along with six types of personalized recommendation schemes. Experiments show that the recommendation service can achieve millisecond responding, the precision, especially recall metric is better than item-based collaborative filtering algorithm.
Effect of Different Section Shape of Gas Channel on the Gas-Assisted Injection Molding
Authors: Geng Tie , Zhang Yan Yun , Ren Qing Hai
Published: June 2011

The 6 different section shape of gas channel on the Gas-Assisted Injection Molding was researched, which is based on the same processing parameters and the same section area of gas channel.The MPI/3D GAS of Autodesk Moldflow 2010 software was used for numerical simulation.The study will provide the basis for design of gas channel selection in product.
A Cluster-Based Routing Tree Construction Algorithm for Wireless Sensor Networks
Authors: Li Peng , Jun Yan
Published: June 2011

In the architecture of wireless sensor network, routing technology at the network layer is essential. Since the clustering routing leads in good performance on data aggregation, energy minimization and so on, it has become the focus of the study routing. In this paper, a cluster-based routing tree construction algorithm for Wireless Sensor Networks is proposed. The detail of how to select the intermediate nodes to build the routing gathering tree is also described. The experiments show that the algorithm is effective to extend the network lifetime.
The Application of DES Data Encryption Technology in the Enterprise Channels Transaction Integration Platform of a State-Owned Bank
Authors: Hu Song Hua , Zhang Pei Ling
Published: June 2011

A new generation of integrated business systems of a state-owned bank will centralize all the data from all the branchs banks to the head office bank ,the head office bank is the data collection center, it takes responsible for all the banks, such as business data storage and processing, management (Security Authentication, Security Management, Bank System Management), Access Gateway (People's Bank of China, the center of Gold Card, SWIFT, etc.).The Enterprise Channel Transaction Integration Platform(ECTIP) is the key system to realize this function. This article focuses on the DES data encryption technology in this system. Including the introduction of channel integration platform ECTIP, DES data encryption algorithm, and the use of DES encryption algorithm in this system.
Outage Probability Analysis and Adaptive Power Allocation for ISDF MIMO Cooperation Systems
Authors: Gao He , Li Jun , Zhou Fu Qiang , Zou Rong , Cui Yi
Published: June 2011

The outage probability performance is analyzed for the optimization of incremental selection decode-amplify-forward (ISDF) multi-node MIMO cooperative communication systems. Firstly, the system model for the proposed multi-node MIMO cooperative protocol. Then, the incremental selection decode-amplify-forward and optimal relay selection strategy (routing) based on the opportunistic relaying scheme is proposed. The mutual information and outage probability between source and destination nodes for the proposed scheme are formulated with the relays have the capability of maximum ratio combining (MRC) receiving and beam-forming transmitting capabilities. Finally, adaptive strategy is proposed for adaptive optimal power allocation (APA). Theoretical analysis and simulation results show that the proposed APA outperforms traditional equal power allocation (EPA) in outage performance.
Study about Forecasting of Vegetable Prices Based on Neural Network
Authors: Zhang Jin Shan , Xie Xiang Tian
Published: June 2011

In the study of vegetable price forecast, as the price is subject to various uncertain factors (weather, supply and demand, etc.), it has attributes such as high nonlinear, randomness and high noise, which would lead to the difficulty in forecasting. But grasping the law of price development and understanding the development trend of price, would help farmers grow the vegetable reasonably, and reduce unbalanced supply and demand. Therefore, we will make use of the characteristics of neural networks such as self-adapt，self-study and high fault tolerance, to build up the model of BP neural network with the training function of L-M for forecasting the vegetable prices. Finally, numerical example proves that the method is effective.
Application of Geostatistics Model Based on Geographic Information System in Urban Heat Environment
Authors: Li Guo Dong , Zhang Jun Hua , Zhao Zi Sheng , Zhao Li Ping
Published: June 2011

Geographic Information System (GIS) database is built by ArcGIS software based on observation data in Lanzhou city. GIS data set was analyzed, including testing data distribution, the trend analysis of spatial data, data outlier analysis. According to the analysis results, the appropriate spatial analysis model is chosen to simulate and predict thermal field. Cross validation method is used to verify simulation accuracy and validity of model. Simulation map of urban thermal in is output by optimal model and parameters eventually. Results show that urban thermal field presents regular distribution in summer. The spatial distribution characteristics of thermal field have directly relations with land use type, urban energy consumption, population density, building volume rate, and thermodynamic properties of underlying surface.
A Highly Effective Multiplexing Strategy of VBR Real-Time Stream in Multiple Channels
Authors: Chen Jian , Su Kai Xiong , Yang Xiu Zhi , Lin Rong Hua
Published: June 2011

In the demand of compounding transmission with SD and HD programs, based on analyzing two kind of multiplexing models’ characteristic with monopolizing buffer and sharing buffer, it proposes a kind of highly effective multiplexing strategy for multi-channel MPEG-2/AVS real-time stream. As is indicated by theoretical derivation and simulated result, this strategy can multiplex the greatest data quantity, without transmitting loss and with the least resource, thus is more advantageous in raising channel utilization.
Design and Simulation of Cutting Optimization and Controller for the Diamond Multi-Wire Sawing System
Authors: Peng Chih Cheng , Hwang Thong Shing , Lin Yi Jing , Lai Wei Ren , Lin Nanjou , Chang Po Wei
Published: June 2011

The purpose of this paper is to investigate the effect of ablation parameters on the ablation characteristics for the fixed diamond multi-wire sawing by using Taguchi method. Meanwhile, using the optimal ablation parameters, we accomplish the cutting dynamic analysis and controller design of the diamond multi-wire sawing system. In this paper, we apply the Chemical Mechanical Polishing (CMP) theorem to derive the ingot profile and cutting rate equations of the diamond multi-wire sawing system. The characteristics discussed in this paper include ingot profile variance, cutting rate. The ablation parameters are tension force, wire velocity, cutting force, width of the kerf. The orthogonal array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to analyze the effect of these ablation parameters. In the meantime, we use the optimal ablation parameters to accomplish the controller design of the diamond multi-wire sawing system, include diamond high-speed control of the main roller in the cutting system, cutting rate control and the moving wire bow angle holding.
Facial Recognition and Destiny Foreseeing for Specified Persons Using Fuzzy Classification Technique
Authors: Chen Jyue Long , Hwang Thong Shing , Wu Yao Ting , Peng Chih Cheng
Published: June 2011

The purpose of this paper is to accomplish facial recognition and destiny foreseeing in real-time for a specified person using fuzzy classification technique. This system uses CCD camera to take a picture of a specified person in an appropriate distance, and then uses a skin color detection method to extract the facial area by separating skin color scope. After the human face is searched, we locate the facial contour by using the ellipse template method. Find out the locations of eye and lip on the human face, and then to get the complete shape of eye and lip separately by using image processing technique and morphology. In this research, we classify the sample template into some classes by using fuzzy classification technique in advance to accelerate real-time task of the facial recognition, 3D face modeling and destiny foreseeing. Afterward, we apply the-Norm/-Norm minimization criterion to calculate the certificate degree of the recognized face and estimated destiny.