bluuebunny/crossref_metadata_2025 huggingface dataset:
A Change Scheduling Algorithm Based on Risk Management
Authors: Zhan Zhi Qiang , Wang Dan
Published: January 2010

For an IT service provider, the change management, especially change scheduling plays a pivotal role in the maximization of business profits. Traditional scheduling methods usually concern fixed losses exclusively but overlook risks which may cause more financial costs. In this paper, an optimal design methodology is proposed using risk management concepts, whereby numbers of changes can be scheduled to minimize the sum of fixed losses and risk losses. A numerical example is discussed and the results show that optimizing the scheduling of changes can result in significant savings and risk reduction to an IT support organization.
Stability of Multimedia Systems
Authors: Zhao Jie Min
Published: January 2010

A stability result of multimedia Systems is given by means of the analysis and computing method.
Application and Development of Domestic and Foreign Virtual Manufacturing Technology
Authors: Zhang Wen Yu
Published: January 2010

The virtual manufacturing technology is one of advanced techniques of manufacture which appears in recent years, is the enterprise taking the information integration as the foundation one kind of new manufacture philosophy. This article on virtual aspects and so on technique of manufacture definition, research content, characteristic, domestic and foreign virtual manufacturing technology application and development, virtual manufacturing technology development forecast has carried on the summary, hoped has the understanding to the virtual manufacturing technology, has the contribution to its development.
The Integrated Innovation of Function Combination Based on Axiomatic Design
Authors: Jiang Ping , Zhai Jin Jin , Zhao Xiu Ping , Tan Run Hua
Published: January 2010

The integrated innovation satisfies new market or customer needs by combination of different technologies. The integration requires that element must be optimized, matched, and then combined into a whole technology system while not simply piling and regrouping. This paper put forward the functions as basis of technology selection. Axiomatic design is introduced to aid to decomposing the function and structure with its framework of independence axiom to minimize the dependence of functions of product. The design matrices and full design matrix indicate the interrelations between all functions and technologies. The new technology is chosen to implement the desired functions that satisfy more customer needs and then integrated into a whole system according to the interactions of functions.
The Construction of Index System and Comprehensive Evaluation Model Based on Improved Genetic Algorithm and Fuzzy Neural Network
Authors: Zhang Yuan Yuan , Yang Shi Song , Dong Peng
Published: January 2010

Artificial neural network(ANN) and genetic algorithm (GA) have both prevalent uses in
large area. Along with the development of technology a method based on the combination of
Artificial neural network (ANN) and genetic algorithm (GA) aroused. In such a case, the paper uses
the combination of Artificial neural network(ANN) and genetic algorithm (GA) to solve the problems
of costructing index system and comprehensive evaluation. Firstly establishing feedforward neural
network model and make sure about the input and output variables. Secondly improved genetic
algorithm is used to solve the problem of network weight and threshold value which is constitute by
three steps real codes, random selection and Genetic Manipulation of Chromosome. Moreover as it
know to all, error back propagation(BP) algorithm is effective in local searching so adding error back
propagation(BP) algorithm to genetic algorithm is a good way to get the satisfying result. Thirdly the
paper gets the output of index effectiveness. Thirdly according to the entropy theory that the
summation of effective value which could be involved in the index system should be larger than a
certain critical value, the paper screened out the final index. Fourthly it uses the fuzzy neural network
method to establishing the comprehensive evaluation model. Finally take the evaluation for teaching
quality for example to authenticate the feasibility of the method.
MAS Learning Based on Bayesian Learning Method
Authors: Shi De Jia , Liu Zhi Qiang , He Jing
Published: January 2010

Mulit-agent system[MAS] research on learning has been in the area of negotiation, and learning strategies of other agents.This paper presents an agent learning approach in multi-agent system based on Bayesian learning, it researches to develop agents that learn free-text queries and keyword searches in MAS. The MAS learns to identify an appropriate agent to answer free-text and natural language queries as well as keyword searches submitted by users. The paper describes how Bayesian learning is implemented in MAS, and analyzes the effectiveness of MAS learning based on the Bayesian learning approach by analyzing the accuracy and degree of learning.
B-Spline Curve Fitting Based on Adaptive Particle Swarm Optimization Algorithm
Authors: Sun Yue Hong , Tao Zhao Ling , Wei Jian Xiang , Xia De Shen
Published: January 2010

For fitting of ordered plane data by B-spline curve with the least squares, the genetic algorithm is generally used, accompanying the optimization on both the data parameter values and the knots to result in good robust, but easy to fall into local optimum, and without improved fitting precision by increasing the control points of the curve. So what we have done are: combining the particle swarm optimization algorithm into the B-spline curve fitting, taking full advantage of the distribution characteristic for the data, associating the data parameters with the knots, coding simultaneously the ordered data parameter and the number of the control points of the B-spline curve, proposing a new fitness function, dynamically adjusting the number of the control points for the B-spline curve. Experiments show the proposed particle swarm optimization method is able to adaptively reach the optimum curve much faster with much better accuracy accompanied less control points and less evolution times than the genetic algorithm.
Research on Innovation Process Model Based on Function Evolution
Authors: Li Qing Hai , Cao Guo Zhong , Guo Hai Xia , Tan Run Hua
Published: January 2010

Function design is an important method for high-level innovation, and it is important for corporations to forecast product evolution rapidly and effectively from function angle. Three laws of function organization and eight laws of function improvement are presented to discover radically appearance of new functions and improvement of existing functions. The directions of function evolution are confirmed by function forecasting, and the function evolutionary path is described by function evolution tree. The rationality is evaluated by degree of ideality. The product innovation process model based on function evolution is proposed by integrating the above contents, which provides a systematic approach to product innovation from functional design angle. A design example for innovation of Chinese medicine demonstrates the proposed method is feasible.
The Realization of Case-Retrieving Model of CBR System Based on AHP
Authors: Li Zhen Hui , Hao Zhong Xiao , Wang Quan
Published: January 2010

The importance of case-retrieving method selection in the CBR system is analyzed, and the defaults of traditional retrieving methods which make use of fuzzy distance to describe the distance in the similar cases are pointed out. A model for case- retrieving based on AHP is presented after the introduction of the basic principle and process of CBR and AHP. With the development environment of CGI, a prototype system is developed, and the running interface is shown.
Virtual MISO Based Cross-Layer Cooperative Transmission Protocol in Ad Hoc Networks
Authors: Cai Xi Biao , Niu Fang Lin , Cao Yu Dong
Published: January 2010

In this paper, we propose a cross-layer protocol that is based on a form of cooperative transmission called Virtual Multi-Input Single-Output (VMISO). Specifically, we discuss the influence of rate, cluster size, and transmission range of the VMISO link on the whole performance improvements, where the key physical layer property that we focus on is an enlarged transmission range due to cooperative diversity. Further, the new protocol, termed the Joint Cross-layer Cooperative Transmission Protocol (JCCTP) including the VMISO routing protocol and the novel MAC protocol, presents the distributed approach of using VMISO links with a fixed cluster size, a given rate, and a certain transmission range, where we leverage the translation of physical layer advantages into higher layer better performances. Finally, we evaluate JCCTP with a flat Rayleigh fading channel model that accurately captures the nature of VMISO transmissions. As compared to using only SISO links and other VMISO links, our work achieves a great increase in the end-to-end throughput and a sharp decline in the end-to-end delay.
Multimedia Technology and its Application Based on Optical Network
Authors: Zhang Ning
Published: January 2010

With the rapid development of computer network, multimedia technology for e-education is widely applied in everywhere. With increasing availability of spatial data, there is an urgent need to develop way and means for providing easy accessibility and promote spatial data sharing. In this paper, we analyze the multimedia technology, discuss the multimedia technology in video and audio. Multimedia technology has promoted a large amount of research in the area of image and video processing. With the support of optical network, multimedia system can offer a lot of applications in e-learning.
Forming Process and Technology Research of Mobile Telephone Frame
Authors: Kuang Wei Hua , Liu Ju Liang
Published: January 2010

Injection molding is widely used to produce a variety of parts, from the smallest component to entire body panels of cars. It has some advantages, including high production rates, repeatable high tolerances, ability to use a wide range of materials, low labour cost and minimal scrap loss. As a case, the paper introduced the application of MoldFlow software in injection molding development of the mobile telephone frame. Best gate location was obtained. The numerical simulation provided scientific and valuable injection process information. At last, a multi-cavity injection mold for mobile telephone frame was designed, and the NC machining of the mold core was programmed by UG NX software.
ACO Trained ANN-Based Intelligent Fault Diagnosis
Authors: Shi Hua Wang
Published: January 2010

By use of the properties of ant colony algorithm and particle swarm optimization, this paper presents an application of an Ant Colony Optimization (ACO) algorithm and artificial neural network (ANN) to fault diagnosis. The ACO algorithm is a novel heuristic bionic algorithm, which is based on the behavior of real ants in nature searching for food. Neural network is used to express the nonlinear function between the input and output of the fault diagnosis of the rolling bearing. And ant colony optimization (ACO) algorithm is used to learn NN. The new algorithm has the merits of both ACO algorithm and neural network. It also provides a new way for the fault diagnosis through constructing the intelligent model by ant colony-neural network and overcomes the shortcomings of traditional algorithm.
Optimized Mobile Phone Mechanical Architecture
Authors: Jing Cherie
Published: January 2010

This paper presents one mobile phone product mechanical architecture design. This phone was already launched to market and get very good feedback and volume. For one mobile phone mechanical architecture design, it must be consisted of some processes such as phone specification definition, key components selection, architecture concepts creation then concept selection and concepts verification etc. This document explains and demonstrators how to get this phone’s final optimized and mature architecture according to product design and development process.
A Stability Analysis of Randomized Scheduling Algorithm for Input-Queued Switches
Authors: Sun Mao Sheng , Wu Jun
Published: January 2010

Input-Queued switching fabrics are widely used in high speed network switches for their scalability. However, a scheduling algorithm must be elaborative designed for input-queued switches to get high throughput. The randomized algorithms are attractive in kinds of scheduling algorithms for their low complexity and well performance. In this paper, a fluid model is introduced to analyze the rate stability of switching systems with randomized schedulers. By this method, we proved that the randomized scheduling algorithm can achieve 100% throughput under any admissible traffics which satisfy the strong law of large numbers (SLLN).
Comparative Study on the Cultivation Pattern of Compound Informationization Innovative Undertaking Talented Person Home and Abroad
Authors: Sun De Lin , Wu Chuan Sun , Tan Xin , Xue Jin Yun , Zhang Lian Xing , Liu Pei Pei
Published: January 2010

At present, the research for the cultivation pattern of compound informationization innovative undertaking talented person is still under explored at home and abroad. Though its form and way are various, it is far from the demand the society to the compound talents. So, there must be a adjustment to the talents ‘cultivation pattern, and attach importance to the cultivation pattern’s study in theory and practice.
Improved Support Vector Machine and its Application
Authors: Huang Zhi Wei , Zhou Jian Zhong , Song Li Xiang , Zhang Yong Chuan
Published: January 2010

According to the complex and uncertain relationships between indexes and grades of flood hazard evaluation, as well as the deficiency of measured samples, an improved support vector machine (SVM) model was established to improve accuracy and efficiency of calculation. The function that comprehensively evaluated indexes of multi-dimensional disaster situation in one-dimensional continuous space could be realized, and effectively solved the incompatible problems of different evaluation results with single index. The results showed that the model based on improved support vector machine had a better ability of generalization and calculation speed by reduce constraint conditions. It is considered to have a good application prospect in multi-index comprehensive evaluation.
A Novel Method for Body Shape Analysis in E-MTM
Authors: Liu Yang , Yang Chun Ting , Yu Jing
Published: January 2010

Body shape analysis module is an important part in the e- Measure to Made. In this article, we discuss the body shape analysis approach based on fuzzy particle swarm optimization clustering algorithm.First we extract parameters features of the body shapes in body shape database which obtained from 3D scanner. Then fuzzy particle swarm optimization clustering algorithm is implemented to classify these body shapes and the clustering results are obtained.The results show it’s a effective method.
A Scalable Inter-Domain Routing Architecture Based on Core-Edge Separation
Authors: Liang Wei Fang , Huang Jian Hua , Zhang Dan
Published: January 2010

An efficient approach to solve scalability problem of current inter-domain routing system is to separate the edge network from the core network address space. But the approach based on core-edge separation needs a new mapping service system to distribute transition information between core and edge networks address spaces through Internet. And after separating and mapping, it needs a method to ensure it is backwards compatible with the current addressing and routing architecture. Aiming to the problem caused by mapping service and compatibility, this paper proposes a scalable inter-domain routing architecture, called SIRAS. SIRAS reuses IPv4 address space to ensure backwards compatibility, and avoids introducing a new mapping service system by extending existing DNS and protocols. The analysis shows SIRAS efficiently alleviates scalability pressure without introducing a new mapping service and protocol.
On the Accuracy of Inverse Evaluating Heat Transfer Coefficient
Authors: Tang Guang Xing , Yang Tong , Zeng Feng , Yao Shan
Published: January 2010

Together with Finite Difference Method, The sequential function method set up a mathematical model for inverse heat transfer problem, solving interface heat transfer coefficient for water cooled metal. Discussion on results indicates that the selection of time step throw striking influence on the evaluation accuracy, especially when the surface heat transfer coefficient experiences a drastic variation. A proper value of time step is confirmed to be 0.01s, where lies comparatively an acceptable error, being 0.37%.
Design of WSNs Architecture Applied in Remote Monitoring of Power Towers
Authors: Zheng Geng Sheng , Deng Feng , Zhang Wei Dong
Published: January 2010

This paper introduces a WSNs architecture design applied in remote monitoring of power towers. First, the system general design is presented. Second, design of nodes is given in detail including cluster-head, normal node and sink. Third, a fast change detection algorithm based on DC statistic is described, which can reduce the number of repeated image. Last, a clustering routing protocol C-LEACH with its application in power towers monitoring is discussed. The techniques described in this paper can provide scientific basis for state maintenance of power system equipment.
New Exact Solutions of (2+1)-Dimensional Generalization of Shallow Water Wave Equation by (G′/G)-Expansion Method
Authors: Li Bang Qing , Xu Mei Ping , Ma Yu Lan
Published: January 2010

Extending a symbolic computation algorithm, namely, (G′/G)-expansion method, a new series of exact solutions are constructed for (2+1)-dimensional generalization of shallow water wave equation. These solutions included hyperbolic function solution, trigonometric function solution and rational function solution. The procedure can illustrate that the new algorithm is concise, powerful and straightforward, and it can also be applied to find exact solutions for other high dimensional nonlinear evolution equations.
Hybrid ANNs-GAs Strategy Based Constrained Optimization and Application in Sheet Metal Flanging Forming
Authors: Rao Jin Jun , Gao Tong Yue , Jiang Zhen , Gong Zhen Bang
Published: January 2010

In order to provide a general purpose method to search optimum solution for complex constrained engineering problems without explicit system model, a hybrid optimization strategy based on artificial neural networks (ANNs) and genetic algorithms (GAs) is proposed in this paper. This strategy combines the strong nonlinearity mapping abilities of ANNs and effective and robust evolutionary searching ability of GAs. Firstly, ANNs are utilized to model the un-known system using inputs and outputs of system. Then the direct comparison approach based improved GAs are employed to search optimal solution in the constrained design space, using the trained ANNs as the function generator of system outputs. This strategy is implemented in optimization of design variables for sheet metal flanging process. The verification results of numerical simulation and the experiments demonstrate the feasibility and effectiveness of the strategy.
Analyses on Output Signal of Silicon Micro-Machined Gyroscope
Authors: Sun Cheng Xiang , Tian Yang Meng , Yan Qing Wen , SUN Lu Wei , Zhang Fu Xue
Published: January 2010

The structure and principle of silicon micro-machined gyroscope used for rotating carrier is introduced. The dynamic equations of axially moving are derived by analyzing three-axis moving of MEMS three-axis simulator. The result of simulation shows three moving locus of the head of rolling airframe missile, and three output signals from silicon micro-machined gyroscope which fix on inner plate of three-axis simulator, some rules of three output signals of three moving locus are gained. The signal of the gyroscope couples the frequency of the rotating carrier which makes the coning motion, so the frequency of the coning motion is contained when detecting the frequency of the rotating carrier using the signal of the gyroscope. By analyzing the output signals using Fast Fourier Transform (FFT) algorithm, subtracting the frequency of the rotating carrier, and the relative error is only 1.25% by detecting the self-rotating frequency of the rotating carrier.
Segmentation of Color Textures Using K-Means Cluster Based Wavelet Image Fusion
Authors: Huang Zhi Kai , Wang Sheng Qian , Hou Ling Ying
Published: January 2010

This paper develops a new method for cluster segmentation of color texture image. At first, a color texture image has been decomposed three sub-bands that R (red), G (green), B (blue) channel. Second, each sub-bands channel has been decomposed by discrete wavelet transform (DWT) to the same resolution. Third, fusion operation is performed on the transformed images according to PCA- based (Principal Component Analysis) weighted average rule to choose the reconstructed coefficients. Then all the decomposed sub-bands images are reconstructed using inverse discrete wavelet transform (IDWT) that becoming a fusion image. Finally, k-means cluster segmentation algorithm has been applied for this fusion image, the segmentation results has been obtained. A number of experiments are performed to demonstrate the efficacy of the proposed method.
Study on the Objectives of SCM in E-Commerce Based on ERP Application
Authors: Liu Da Wei , Ye Xiang Bei
Published: January 2010

Supply Chain Management (SCM) in today’s global environment, especially the E-commerce is crutial to create significant competition advantages to corporations. Since the objectives and purposes are essential factors in the study of SCM inE-commerce. The purpose of this paper is to deliver the research question, review the conceptual framework, ERP and environment for SCMS, point out their objectives, impact of SCM and utilize theories that help identifying the important factors of the SCM. The differences of Pre-Internet and E-commerce are listed to clarify the further research.
Web Service Automatic Composition Based on Extended Token of Petri Net
Authors: Yang Bo , Song Shun Lin
Published: January 2010

By analyzing the existing Web service composition，a automatic composition method of Web Service based on Petri net was been proposed. This paper primarily extended the Petri net’s tokens, which been expressed as the parameters of atomic services (the services can not be decomposed), as a model for Web services. Then the improved Web service composition method was used to compose the atomic services, making them flowing in the Petri net in accordance with the relationship between the composition of atomic services, and verify the correctness of the service. Finally a specific example was used to analyze and realize the service modeling and automatic composition process of Web service.
A Reference Model of Unified Communication Based on SIP/SIMPLE
Authors: Zhang Nan Ping , Jiang Ji Suo
Published: January 2010

In order to reach a consensus on the concept of unified communication and promote the development of unified communication, many organizations begin to research the standardization of unified communication and the reference model of unified communication is an important component. In this paper, we will do some research on the unified communication business needs and technical means, and then introduce a reference model of unified communication which is based on SIP/SIMPLE, using this model to build unified communication business will become easier.
Adaptive Predictive Based on Equal-Dimension and New Information for the Hydraulic Mechanism of Wave Motion Compensating Platform
Authors: Zeng Zhi Gang , Chen Guo Hua
Published: January 2010

A wave motion compensating platform has the function of compensating the ship’s generalized heave motion (a coupling result of roll, pitch and heave). It can decrease the impact of ship motion on some sea works and equipments. The hydraulic mechanism of platform system has the characteristics of nonlinear and big inertia. In order to compensate generalized heave motion effectively, an adaptive predictive control policy is used for controlling the hydraulic mechanism. Based on equal-dimension and new information, an automation regressive model can get adaptive multi-step prediction. The model parameter estimation based on the least square algorithm is easy to blow up and be unstable when the system has random noise. To improve the problem solution, a damped recursive least square algorithm is proposed to estimate the parameters on line. For the short regulation time, strong anti-disturbance ability and great robustness, a nonlinear PID controller whose gain parameters vary with errors is suitable for controlling the hydraulic mechanism. Using the collected experimental data, the simulations suggest that adopting the above adaptive predictive control policy to control hydraulic mechanism is able to decrease the generalized heave amplitude of wave motion compensating platform.
Research and Development of Open Numerical Control System
Authors: Peng Yu Hai , Bai Hai Qing , He Ning
Published: January 2010

The CNC technology, which directly decides the function and performance of the manufacturing equipments, is the key technique group that supports the modern equipment manufacturing industry. And it is also the key technique for equipment layer which can push forward industrialization with informatization. By the research of open numerical control system, a kind of CNC system has been constructed based on IPC and PMAC motion control card using the designing method of modularization. By test and research, it has been proven that the Open Numerical Control system has complete functions and excellent performance, and can meet the request of modern numerical control machine tool for open numerical control system.
Research on the Secure Multi-Party Computation of some Linear Algebra Problems
Authors: Zheng Qiang , Luo Shou Shan , Xin Yang
Published: January 2010

Considering constant-round protocols for generating random shared values, for secure multiplication and for addition of shared values, etc are available and can be met by known techniques in all standard models of communication. Protocols are presented allowing the players to securely solve standard computational problems in linear algebra. In particular, securely, efficiently and in constant-round compute determinant of matrices product, rank of a matrix, and determine similarity between matrices. If the basic protocols (addition and multiplication, etc) are unconditionally secure, then so are our protocols. Furthermore our protocols offer more efficient solutions than previous techniques for secure linear algebra.
Based on Grid of Reconfigurable Manufacturing Execution System
Authors: Qu Ju Bao , Liu Sheng , Liang Hong Tao
Published: January 2010

The use of grid manufacturing system, has become the trend of modern manufacturing technology. With reference to the idea of component design for workshop production business, a workflow and multi-agent based Grid of Reconfigurable of Manufacturing Execution System (GRMES) is presented. The configurable workshop production business can be handled, and the MES application system can correspondingly adjust with its change. The KQML is expanded to compensate for its description ability in the Workflow management system. XML is applied to support the data flow in GRMES, format the dispatched tasks and KQML, which can securely and concisely transfer different data among the workflow engines, agents and application on the GRMES. GRMES improves the problems such as adaptability and reconstructivity, which exist in the traditional MES.
Dynamic Co-Simulation of Fracture Splitting Machine for Connecting Rods
Authors: Zheng Li Ming , Yang Shen Hua , Jin Wen Ming
Published: January 2010

The fracture splitting (FS) method is a bran-new processing technique in the automobile engine connecting rod manufacturing industry, FS is one of three pivotal working procedures, and press speed is one of the key influence factors of FS process. In order to realize parameters of press speed and pull cylinder working pressure, dynamic simulation of hydraulic system has been carried out. Simulation results indicated that press speed of pull cylinder was about 130mm/s, which was between 120mm/s and 150mm/s that was not only good for controlling FS quality, but also not leading irrational design of hydraulic system. The working pressure of pull cylinder was between 10MPa and 14MPa, which was suitable for FS processing. The hydraulic system of FS machine can satisfy the basic requirements of connecting rods FS process. This paper has provided reliable theoretic basis for the design of FS machine for connecting rods.
A Model Driver Framework for System Analysis
Authors: Wu Kui , Luo Jun
Published: January 2010

The Model Driver Framework was designed to facilitate analyses of complex systems. It completely divorces the model execution process from the model itself. By doing so it frees the modeler to develop a library of standard modeling processes such as design of experiments, optimizers, parameter studies, and sensitivity studies which can then be applied to any of their available models. The framework accomplishes this by means of a well defined API and object structure. Both the API and object structure are presented here with enough detail to implement the framework in any object-oriented language or modeling tool.
The Compare of Microbial Electronic Tongue Data Based on Direct and Two-Stage Processing
Authors: Men Hong , Sun Jian Ping , Zhang Jing , Guo Yu Ming , Xu Zhi Ming
Published: January 2010

In this paper, we used three working electrodes of platinum, gold, glassy carbon which constituted the microbial electronic tongue to identify microorganisms. The main purpose of this article is to classify sulfate-reducing bacteria and iron bacteria with the reference of broth culture. The accuracy of classification was compared based on directly processing (raw data processed by Back- Propagation Neural Network (BPNN), raw data processed by Partial LeastSquares (PLS) and raw data processed by Principal Components Analysis (PCA)) and two-stage processing (Principal Components Analysis (PCA) outputs processed by BPNN,PLS(score) outputs processed by BPNN and PLS(ypred) outputs processed by BPNN). The result showed that the performance of both PLS (ypred) and BPNN were optimum, which proved that the combine of linear and nonlinear model will get the best result for classification of bacterial.
Apply Automation Testing in Enterprises
Authors: Qi Feng , Ding Yan
Published: January 2010

In order to keep pace of product development and delivery, it is essential to implement an effective and reusable automation test framework. The traditional capture/replay framework is not only out of date but hard to use. Much more robust automation framework must be found otherwise automation test will only end up with failure forever. Success comes when clear concept of automation test is in managers’ mind and full preparation is made. The paper first make it clear what is test automation and how it should be used and then list some approaches and tools popular in automation test. Then, it describes details of a framework. A model is given after it. It has been proved that this flow is reliable and greatly improves test efficiency in a company.
The Multi-Dependent Hurst Exponent in Traffic Time Series
Authors: Dong Ke Qiang , Shang Peng Jian , Zhang Hong
Published: January 2010

We propose a new method called the multi-dependent Hurst exponent to investigate the correlation properties of the nonstationary time series. The method is validated with the artificial series including both short-range correlated data and long-range correlated data. The results indicate that the multi-dependent Hurst exponents fluctuate around the a-priori known correlation exponent H. Application to traffic time series is also presented, and comparison is made between the artificial time series and traffic time series.
Application on Network Traffic Prediction Based on Least Squares Support Vector Machine
Authors: Ren Yu Zhuo , Xia Ke Wen , Wang Yan , Shi Jun
Published: January 2010

The network traffic is one of the important metrics for describing network behaviors, it plays an important role in network design, network protocol and traffic project implementation. In order to solve some problems in network traffic prediction, according to actual data for network- monitoring traffic, an approach to network traffic prediction is presented based on least squares support vector machine (LS-SVM), it mainly includes selecting for sample data of network traffic, normalization processing of data, network traffic model trained by LS-SVM and network traffic prediction, etc. Actual application results indicate that the method of network traffic prediction has high accuracy and good feasibility.
Research on Chinese Character Recognition Using Bag of Words
Authors: Gui Jia Ping , Zhou Yi , Lin Xin Da , Chen Kai , Guan Hai Bing
Published: January 2010

The traditional OCR obtains unsatisfactory results in the field of image recognition when images are processed in a complex background with low quality. This paper presents a novel application of the model of Bag of Words on Chinese character recognition, and extensively evaluated its effectiveness with 12 different fonts of Chinese character datasets under varying circumstances. Our experimental results demonstrate that this approach can achieve nearly 70% at its highest accuracy rate, which shows its performance far exceeds the traditional OCR’s
Green Manufacturing-Oriented Digital System and Operation Technologies for Manufacturing Enterprises
Authors: Wang Qi Feng
Published: January 2010

Green manufacturing (GM) is a sustainable manufacturing mode which comprehensive considers the environmental impact and resource consumption. Based on the analysis of state-of-the-art of digital technologies application in GM, this paper provides a green manufacturing-oriented digital system framework from the integration point of GM and digital manufacturing. The green manufacturing-oriented digital system framework is consists of five components which include the basic database for green manufacturing, software supporting layer for green manufacturing oriented digital system, digital system layer for green manufacturing, enterprise integration framework and product lifecycle based operation process layer. Furthermore, some key operation technologies for green manufacturing-oriented digital system is studied, which include product lifecycle based green design technology, and semantic framework model based information integration technology. Finally, the system is applied in an automobile manufacturing enterprise and achieves well application effects.
State Prediction of Huge Gas Turbine Machine Based on Multi-Level Recursive Method and Experimental Study
Authors: Xu Jin Ling , Ma Jie , Xu Xiao Li , Wang Shao Hong
Published: January 2010

Gas turbine machine,Multi-level recursive,Prediction,Experimental study
Abstract. Take the huge gas turbine set of Beijing Yanshan Petrochemical Refinery as the research object. The most important feature of machine is the vibration characteristic,and vibration displacement is the most important parameter of the machine,based on the historical vibration displacement datas,use multi-level recursive method to predict the state of the machine.With this method,fault prediction is divided into two parts:forecast of time-varying parameters and forecast based on the former forecast,the prediction precision is improved. Through the analysis of gas turbine failure mechanism,use Bently rotor bench,effectively simulate the mechanical failure of the rotor imbalance.
An Model Based on Group Decision-Making Method and Job Value Evaluation
Authors: Li Chen Guang , Dai Feng
Published: January 2010

The individual decision-making is unstable and risky, comparing with group decision-making. The latter can reduce the risks arising from the decision-making through bringing together all aspects of information. This article introduces a method of group decision-making based on fuzzy evaluation information, and improves the feasibility and exactness of current evaluation models. It takes job value as the target and evaluates the relative value of four jobs. The results show that the model is simple and practical except of its limited availability.
A Divided-and-Conquer Algorithm Based on Guided Selection for Two-View Motion Segmentation
Authors: Wang Hui Jing , Chen Kai , Zhou Yi , Zhang Yan , Guan Hai Bing
Published: January 2010

Motion segmentation for dynamic scene is a fundamental problem in computer vision due to its well-known chicken-and-egg character. The key issue is to estimate both numbers and parameters of motions simultaneously. Different from global clustering method and random sampling scheme, in this paper, we propose a divided-and-conquer algorithm to solve the motion segmentation problem. A guided selection is used to choose the most creditable hypothetical motion as a candidate seed and then make it grow larger. Compared to previous works such as expectation maximization and factorization approaches, there is no need for any pre-knowledge of the number of motions. To global non-parametric clustering method, it is fast because each time we only do cluster process in a partitioned sub-set. Experiments have shown that the proposal method can give a satisfying result for motion segmentation.
General Structure of the Semiconductor Production Scheduling Model
Authors: Ye Kai , Qiao Fei , Ma Yu Min
Published: January 2010

. The paper focused on proposing a generic design for the structure model of semiconductor manufacturing. By means of analyzing traits of semiconductor manufacturing, stratifying on the definition of semiconductor manufacturing line, and analyzing the feasibility for computer to achieve the model design, a prototype system was achieved on .NET platform finally. The paper provided a solution consisted of a description of the standard model and a solution for computer development. And it’s a guidance for establishing research platform of semiconductor manufacturing scheduling
Research on an UCON Extension Model Applicable to Industrial Control
Authors: Jiang Ze Tao , He Jia Fei
Published: January 2010

Although UCON makes a unified framework for research on modern access control, it is not applicable enough due to fact that it only gives out a conceptual model. In this paper, analysis and extension have been made on UCON, role and task factors are introduced to it and combined with the conception of domain, an UCON extension model—UCONTR model, which is applicable to industrial control, is proposed. Its formalized description is given in the next step. Finally, the application of UCONTR on distributed control system for heat treatment is introduced in detail.
Study on Velocity Constrained Particle Filters in Passive Tracking Applications
Authors: Kang Jian , Kang Wei , Rui Guo Sheng
Published: January 2010

To improve the poor performance of the maneuvering target tracking, Particle Filters (PF) and velocity constrained Particle Filters (VCPF) are introduced to track the maneuvering target. According to the prior information, outrange particles are discarded during prediction step, and the distribution and the weight of particles are adjusted. Simulation result shows that VCPF can track the maneuvering target stablely. Furthermore, the convergence rate and track accuracy of the algorithm can also be effectively improved.
Research of the Measurement System of Liquid Displacement Based on Angular Tracking
Authors: Tao Huan Qi , Ma Shuang Bao
Published: January 2010

This paper introduces a kind of measurement method of the height of liquid level by the tracking the use of angular displacement, aiming at the difficulties and problems of non-contact measurement for the height of liquid level in ultrasonic. Under the principle of the simultaneous tracking and laser light reflection, it realize the corresponding relationship between the liquid displacement and the light imaging based on the triangulation method. Thus to obtain the actual data of the height of liquid level. That to offer another new option for non-contact measurement.
Fast Public Key Cryptosystem Based Blind Signature Scheme
Authors: Zhou Xuan Wu
Published: January 2010

Compared with symmetric cryptosystem, asymmetric cryptosystem has much superiority in many application cases. Yet, the computation in a public key cryptosystem is much more complex than symmetric cryptosystem. In the paper, we applied HCC (Hyper-elliptic Curves Cryptosystem) as a typical fast public key cryptosystem into the designing of efficient blind signature scheme and presented an improved blind signature with fast cryptography algorithms. By utilizing probabilistic blinding algorithm, the scheme renders effective protection for the secrecy of original user, the signature generator or outer adversaries can not attack the secret message via the blinded information with effective polynomial algorithms. The scheme avoids the relevance between different signatures and interim parameters from the same original user, thus it effectively prevents signature forgery and replay attack. As security analysis for the scheme, we presented similar blind signature without relevant improving algorithms based on discrete logarithm cryptosystem. The analysis and comparison with other schemes both justify the security, reliability and high efficiency of the improved blind signature scheme regarding software and hardware application environment.
Optimized Electronic Cash Scheme with Fast Public Key Algorithm
Authors: Zhou Xuan Wu
Published: January 2010

In the paper, we analyzed the system optimization algorithms in e-cash (electronic cash) by improving the efficiency of e-cash for software and hardware application. As for the fast asymmetric cryptography algorithms in e-cash scheme, we presented basic interactive protocols based on discrete logarithm cryptosystem. In the protocol, the interacting algorithms achieve authenticated encryption in secret transmission algorithms, the verification of signature and transmission of secret message can be fulfilled in a single algorithm, and therefore the complexity of authentication algorithms in e-cash scheme is greatly reduced. As a comparison with traditional e-cash schemes, we presented an optimized e-cash scheme based on ECC (Elliptic Curves Cryptosystem). The cryptography algorithms of the scheme make full use of the superiority of ECC fast algorithms, thus the optimized e-cash scheme effectively avoids illegal distribution of e-cash and generalized forgery attack on system parameters with less system overheads.
Analysis on Mechanism of Effect of Acceleration Sensor by Three-Dimensional Finite Element Method
Authors: Li Yan Jie , Piao Lin Hua
Published: January 2010

The mechanism of effect of the acceleration on acceleration sensor is preliminary elucidated. Using the three-dimensional finite element method, the temperature field in sensing element of the sensor under the effect of the different acceleration have been obtained by a series of procedure , such as model building ,meshing ,loads applying and equation solving. In the process ANSYS2FLOTRAN CFD program is applied. By the numerical results and experiments, the effect of input acceleration on accleration sensor is analogous to the effect of input tilt angle on the sensor, which also will change the temperature of gas flow at two thermal resistors ,so lead to change of the current difference of both thermistor wires, finally the bridge outputs a voltage signal corresponding to the acceleration.
Design on Control System of Cutting Machine for Chip Component Based on Vision Positioning
Authors: Liu Yi Fan , Cheng Shun , Chen Lun Qiang
Published: January 2010

The control system of a vision-based positioning cutting machine of cutting molding for micro chip components has been designed in this paper. The industrial computer is regarded as the control core part in order to achieve the motion control of the equipment, the image capture and other functions. In addition, in the design the visual recognition is organically combined with the precision mechanism, the precise positioning in the cutting process of the equipment and its operation stability is ensured. In this paper, the system's modularization design as well as the functions realized by each module is introduced. The cutting machine work flow chart and the hardware structure chart of control system is given.
Motion Estimation Algorithm Based on the Region of Interest
Authors: Yang Fan , Li Jing , Zhang Zhi Wei , Pan Guo Feng
Published: January 2010

The motion estimation algorithm based on the Region of Interest has been proposed for the contradictions between accuracy and computational complexity. According to different levels of physical activity, the image is divided into regions of interest (ROI) and background (BG). For ROI, motion estimation based on redundant wavelet domain (RDWT-FS-ARPS) is presented in order to ensure the accuracy of motion estimation and the speed. And for BG, adaptive rood pattern search based on wavelet domain (DWT-ARPS) is proposed so that the computational complexity is of a dominant position while maximizing the accuracy of motion estimation. Experiment shows that the method is practical and effective to meet human visual system, and it can solve the contradictions between accuracy and computational complexity of the motion estimation to a certain extent. Besides, it provides a foundation for the compression of the region of interest and real-time transmission, especially suitable for monitoring, video phone system.
Embedding Parameters Based Distinguish between Normal and Epileptic EEG Using Artificial Neural Network
Authors: Yuan Ye
Published: January 2010

The embedding parameters of electroencephalogram (EEG) time series, i.e., the embedding dimension and delay time, are used together as the input features of artificial neural network for distinguishing between normal and epileptic EEG time series. Cao’s method and mutual information method are applied for computing the embedding dimension and delay time of normal and epileptic EEG time series, respectively. The probabilistic neural network (PNN) is used in this paper for distinguishing between normal and epileptic EEG time series. The results of the simulation show that the overall accuracy as high as 100% can be achieved by using the method proposed in this paper, and that the accuracy obtained based on the both parameters is better than that obtained based on each of the two parameters respectively.
An Automatic Measuring Research on Voltmeter with a Cylindrical Panel
Authors: Zhang Xiao Feng , Liu Yu , Wan Bin
Published: January 2010

Constrained with structures of the meter panels, the automatic measurements are required to take different ways. In this paper, a new approach to the automatic measurement of voltmeter with a cylindrical panel and nonlinear scale is presented. Firstly, one real-time image captured by a camera is processed to locate the region of the pointer and the scales. Secondly, according to the shape features of the dial, a 5×1 filter is adopted to reduce the noises, then a thinning algorithm is applied to extract the framework of the pointer and the scales, and a thinning correction algorithm is used to compensate for the slight deflection of pixels. Thirdly, a method for cylindrical rectification is used to compute the precise position of the pointer and the scales. Finally, error sources are discussed. Experimental results show that this system is of speediness and errorless and can meet the engineering requirements.