bluuebunny/crossref_metadata_2025 huggingface dataset:
Network Modeling and Performance Analysis under Time-Varying Channel and General Arrival of M2M Services
Authors: Li Fu , Chi Xue Fen , Zhang Jia Sheng , Li Xu Dong
Published: September 2013

To investigate and forecast the traffic characteristics of important M2M service--Small data service, we modeled its arrival process and analyzed the effects it has on current wireless network. By simulating service logic and designing traffic generation function of typical M2M small data service on network simulation platform (OPNET), we modeled packet inter-arrival time of M2M aggregate traffic with general distribution Gm. Considering the time-varying feature of wireless channel, MMPP-2 is used to model the service process of WLAN access network. Based on the queuing theory, we solve Gm/MMPP/1/K model under general arrival of M2M small data service and time-varying channel, then we obtained the performance metrics of the queuing system. The results indicate that (1) Hurst parameter of M2M aggregate traffic is approximately estimated as 0.7, (2) M2M small data service has the characteristics of delay-tolerance, as a result, system blocking rate can be effectively reduced by increasing the buffer size in the error-prone wireless environment, this solution is feasible.
A Method on Single Source Publishing for Music in DITA
Authors: Liu Xu Hong , Shi Yun Mei , Liu Peng , Li Ning
Published: September 2013

Federated Media Publishing means to distribute the single source content through multimedia after integrating various media manners, which is the trend of digital publishing. DITA is designed to produce multiple deliverable formats from a single set of DITA content, but it cant be directly used in Federated Media Publishing for not coping well with multimedia except for text and image. This paper takes music as an example to discuss the method of integrating multimedia into DITA. The specialization facility is used to integrate MusicXML DTDs into DITA and a solution is putted forward to provide appropriate rendition distinctions according to audio and five-line staff. Experiments show the solution is efficient to extend DITA for dealing with multimedia, which can be used in federated media publishing.
Analysis of the Multi-Channel MAC Protocols in Wireless Networks
Authors: Shi Chun Guang , Zhao Hai Tao , Tang Yi , Zhou Yun Feng
Published: September 2013

This paper discusses the problems that may be encountered in a multi-channel MAC protocol design. Furthermore, the normalization network throughput of multi-channel MAC is analyzed based on a Markov chain model. The simulation shows that compared to single channel 802.11, multi-channel MAC can improve the normalization network throughput. Moreover, the greater is the number of divided sub-channels, the higher is the normalization network throughput.
An Efficient Difference Algorithm for Black-Scholes Equation
with Payment of Dividend
Authors: Wu Li Fei , Yang Xiao Zhong
Published: September 2013

Black-Scholes equation is the basic equation of option pricing in financial mathematics, it is important to study its numerical solution in financial market. This paper constructs a new kind of high order accuracy numerical algorithm (Three-layer difference scheme) for Black-Scholes equation with payment of dividend. Secondly, it gives the convergence of scheme. Thirdly, the stability and error estimates are analyzed. Finally, the numerical examples show the feasibility and effectiveness of the scheme. The truncation error of Three-layer scheme is little worse than Crank-Nicolson scheme and computational cost is little better than Crank-Nicoslon scheme. Therefore, the scheme is better suitable for applying to calculate the option pricing in the demanding high level of instantaneity.
Short-Time Traffic Flow Prediction Method Based on Universal Organic Computing Architecture
Authors: Nie Shu Zhi , Zhong Yan Hua , Hu Ming
Published: September 2013

Designed a DNA-based genetic algorithm under the universal architecture of organic computing, combined particle swarm optimization algorithm, introduced a crossover operation for the particle location, can interfere with the particles speed, make inert particles escape the local optimum points, enhanced PSO algorithm's ability to get rid of local extreme point. Utilized improved algorithms to train the RBF neural network models, predict short-time traffic flow of a region intelligent traffic control. Simulation and error analysis of experimental results showed that, the designed algorithms can accurately forecast short-time traffic flow of the regional intelligent transportation control, forecasting effects is better, can be effectively applied to actual traffic engineering.
Security Analysis of 3G-WLAN Fusion
Authors: Chen Dong Ya
Published: September 2013

With development of wireless Internet, the interworking of the third generation (3G) and wireless Local Area Network (WLAN) has become a focus research. Fusion of 3GWLAN has complementary advantages. The background and scheme of 3G and WLAN Fusion are discussed. The security of Fusion was analysed. Presents two security Fusion schemes has given. The first is called a loose coupling, The second is called close coupling. Two schemes are complement each other, realize the 3G and WLAN user unified management and 3G signing based on user WAPI security mechanism of WLAN access, and protect the user privacy.
A Novel Incorporate Algorithm of Concept Lattice
Authors: Gong Xi
Published: September 2013

With the expansion of the research field, the research object of some original seemingly unrelated properties have been studied together. At this time, the number of attribute in formal context has changed. For the increased attributes, we need to construct a new concept lattice. The existing incremental building algorithms of concept lattice need the original formal context as the basis, with single attribute or a set of attribute of the object to rebuild the concept lattice. They can't effectively utilize these existing concept lattice that have not relation in attributes. Here, the paper presents one new algorithm for incorporating concept lattice based on the existed concept lattices. We can directly build the together lattice from bottom to top by direct product operation on the existed concept lattices and the mapping relation between the direct product lattice of two existed concept lattices and the together lattice. Formal contexts that attribute sets have no intersection are fit for this algorithm.
Position Servo Control of the Transverse Flux Machine Based on an Armature Current RMS and Initial Phase Control Method
Authors: Xie Jia , Wang Shi Ming , Wu Yan Xiang , Sha Zheng Hui
Published: September 2013

A control method for position servo control of Transverse flux machine (TFM) by controlling armature current Root-Mean-Square (RMS) and initial phase is proposed in this paper. Specifically, the voltage balance equation of TFM is provided, and the phasor diagrams are analyzed to achieve the expression of electromagnetic power of TFM. The expression indicates that the electromagnetic torque is determined by armature current RMS and the initial phase. A position servo control system of TFM is established based on the expression. The results of the position servo control curves show that the position servo control system of TFM is effective.
A Mathematical Formula Retrieval Method Using Structure Sub-Tree
Authors: Guan Ming Jie , Tian Xue Dong , Yang Fang , Yang Song Qiang
Published: September 2013

It is quite inadequate in providing formula retrieval function by traditional retrieval techniques used in full-text information retrieval system. The main reason is that there are many difficulties to extract the keywords of the mathematical formulas. In this paper, a detailed analysis of the structural characteristics of mathematical formulas and existing index mechanism of mathematical formula searching engine is fulfilled. Then a full-text index (named SLIndex) of mathematical formulas with B+ tree structure is designed and implemented which extracts the structured logic sub-tree feature as keywords of formulas and employs inverted index. Finally, a formula search engine model based on SLIndex is implemented in Apache 2.0 web server.
Analysis of Impact of Smart Terminal on CDMA Network and Solution
Authors: Liu Ya , Xu Zhen
Published: September 2013

This paper makes an introduction to the tendency of mobile internet replacing the fixed-line network. Analysis of the impact of Smart terminals on mobile internet is expounded. Network performance is degraded by huge data service traffic and signaling traffic. This paper also offers solution for the current situation
Mechanism of Sini Decoction on Coronary Heart Disease in Molecular Level
Authors: Tao Wei Ye , Wang Lai You , Cheng Guo Hua , Liu Jun , Tang Lang Ping
Published: September 2013

Sini Decoction is a traditional Chinese medicine which has a curative effect. The mode of action between small molecules and the targets were presented visually, which provided an in-depth interpretation about the pharmacodynamic material basis. It is valuable for the research and development of new drugs. Experimental results show that we can reveal the treatment mechanism of Sini Decoction in molecular level by molecular docking.
On the Construction of Internet Traffic Billing System
Authors: Lei Chun Yan , Huang Bin
Published: September 2013

Mobile internet as one operating system has already become very mature. But traffic billing is a hot issue among mobile complaints currently. In order to adjust the instability of mobile traffic billing system, adjustment is being made on multiple aspects of the stability to solve the problem of the variable billing system. The internet traffic billing system is stabilized through the establishment of mobile internet traffic billing system, system of mobile internet traffic accumulation and mobile internet identification system, while combining with system of reminding with text messages of mobile phone. In order to carry out the executive process, take for example the cases of the internet traffic billing system of two major communication operators in China. Analysis on the examples showed that with multiple subsystems assistance, internet traffic billing system can make more accurate calculation and system of monitoring mobile Internet will monitor the use of traffic and provide the most stable methods of billing internet traffic. The combination of multiple systems can better eliminate the errors caused by the instability of the mobile internet traffic billing system.
* Chunyan Lei is the first author; Bin Huang is the correspondence author
The mobile internet has become one of the main channels of accessing to external information, and more people choose handheld type to browse information. Because the related coverage of information is becoming broader and broader, the interests are related to higher extent; the requirements for data accuracy of audience is higher and higher, it is very necessary to establish internet traffic billing system that is accurate, safe and user-friendly so that the stable traffic billing system can provide the accurate process of traffic usage more stably.
The SaaS Applied in Oilfield Software
Authors: Sun Lei , Li Zhuo
Published: September 2013

With the rapid development of the software industry in the 21st century, the traditional software is increasingly constrained by the costs and software and hardware environment. As a result, the SaaS emerged and quickly gained public acceptance. In order to use SaaS services, the users dont have to cost a lot of money to purchase entire software, only need to pay for the corresponding modules they ordered. By analysis of current oilfield software, we present a software layout mode which combines C/S and B/S model, and solve a series of problems in data storage and interaction, finally implement a SaaS framework in oilfield software industry.
Remote Monitoring System for Water Quality in River Based on WSN
Authors: Shi Bing , Zhao Dean , Ma Zheng Hua , Zou Ling
Published: September 2013

For monitoring the water quality in river, and improving the accuracy of the transmission in network, the remote monitoring system based on wireless sensor network is designed. The topology of cluster for the wireless sensor network was adopted, and the amendment version of LEACH-H protocol is also designed based on LEACH. The circuit design of sensor for concentration of nitrite and DO is also presented. For the remote wireless communications between the sink node and remote control center, the GPRS module is adopted. The test show that communications among the system are realized reliably and the requirements are met respectively. The application of the system can well meet the demands of remote monitoring system for water quality.
Virtools Based Development of Computer Experiment
Authors: Wei Yu Qing , Gao Xing , Gao Jing Hua
Published: September 2013

Virtools is a set of integrated 2D graphic images, 3D models, audio, video, and so a variety of file formats, interactive software itself has a wealth of interactive behavior module, 3D games can be created, virtual experiments simulation objects very strong interaction with the display and other three-dimensional product. This paper presents a virtual experiment based on 3D and Virtools technology, which is built with 3D experiments scenes, making 3D animation; with Virtools data processing, interactive control. The experiments show that this method has the authenticity, interactivity, simple and easy to implement features.
Effect of Cuing Conditions on the Microstructural Characteristics of Complex Binders
Authors: Li Xiang , Yan Jian Jun , Yang Hua Quan
Published: September 2013

The microstructure characteristics of complex binders under two curing conditions were studied by observing the micro-morphology, analyzing the pore character and means of spectrum test. The results showed that high temperature curing improved the pore structure formed in the early hydration period and reduced the porosity and the coarse pores in pastes. More hydration products were generated on the surface of fly ash particles that made the microstructure of pastes more denser than cured in room temperature. However, high temperature curing had insignificant influence on the CaO/SiO2 ratio of C-S-H gel in pastes and contributed little to the improvement of the later hydration degree and microstrcture of fly ash-cement pastes.
Methods in Solving the Wave Equations for a Loudspeaker
Authors: Zeng Jing , Wang Hui , Dong Jun Yu
Published: September 2013

This paper introduces several methods in solving the wave equations for a loudspeaker. The separation of variables method is very common for solving constant coefficient linear partial differential problems. The finite difference method has been the main method of numerical computation in early work. The direct method is to formulate the boundary integral equation and can be solved using a direct time integration procedure. There are also some transform methods such as Fourier, Laplaces and wavelet transforms etc. to solve the wave equations. The retarded potential technique to solve the wave problems numerically was first used in the early 1960s. Since then, many authors have worked on the method and its applications.
Improved Newton's Method for Calculation of Power Distribution Network Theory Energy Loss
Authors: Wang Xiao Ming , Zhang Li
Published: September 2013

At present commonly used distribution network loss calculation theory method, the not fully consider load curve changes. Thus, the theory energy loss too small, and the management energy loss too large. On this issue, the article puts forward an improved Newtons method for distribution network theory energy loss calculation. According to the current transformer substation of 24h a distribution network power records, the trend of the model results show that the total distribution network energy loss. The experimental results show that, compared with traditional methods, improved Newtons method to calculate the result more close to the energy loss calculation theory statistical energy loss.
Research Computer Network Remote Education Teaching Model
Authors: Song Bao Gui
Published: September 2013

This paper reviews the network distance education teaching mode, Using the computer education as an example, the analysis of the computer aided teaching method the results in the application of quantitative and qualitative analysis method. Make a certain university 2005 freshmen do level test, according to the principle of no significant difference will be divided into a whole new N. Randomly selected two whole (62) for the test group to participate in university computer teaching reform. At the same time, select the other two whole (62) as the reference object for regular teaching. Period, and the two groups of students in four tests, and the four scores on the quantitative analysis; The network distance education in computer aided teaching experience of teachers and students class separately carried on the interview, At the same time, to student's online autonomous learning time and content monitoring and statistics, and student test scores were compared.
The Implementation of Anti-Attack AES Mathematical Model in Library Network Encryption
Authors: Shen Yu Fen
Published: September 2013

With the continuous improvement of university library network safety requirements, this paper studies encryption and decryption algorithm analyzing advanced encryption standard AES of the computer, substitution and replacement operation in encryption and decryption process, and key expansion mathematical model. The detailed design of the mathematical modeling process of the algorithm is given, and the whole mathematical modeling process is more thoroughly analyzed. According to the model, library network encryption application is completed. Verified by computer simulation technology, the mathematical model has a good robustness and achieved good results.
Research on Logistics Software Design and Development Process Bases on Organizational Learning
Authors: Wang Zhong Wei , Qu Si
Published: September 2013

This paper describes a cycle in which organizational learning and software development serve each other, presents the concept of organizational learning cycle method. Experience in a real software development project has led us to identify several key challenges for software design and development through organizational learning. A discussion of these challenges presents steps taken toward addressing them, as well as barriers remaining.
Pricing Based on the Binary Tree Model under Public Infrastructure Projects
Authors: Fan Dong Jun
Published: September 2013

[Purpos] In order to address the problem of pricing public infrastructure project based on the binary tree model. [Metho] By the real option binary tree model. [Conclusion This article makes a pricing research on public infrastructure projects to. At the same time, this article makes policy recommendations for the investment powers and the government respectively.
The Influence of Nitrogen on the Chlorophyll Fluorescence Parameters of Lettuce
Authors: Sun Jun , Song Cai Hui , Xiao Xiao Hua , Jin Xia Ming , Ni Ji Heng
Published: September 2013

Chlorophyll fluorescence images of lettuce in four nitrogen levels were studied to investigate the influence of nitrogen on fluorescence parameters. The results indicated that, at seedling period, Fo and Fm declined with the increase of the amount of nitrogen fertilizer. Fv/Fm had a downward trend after the first rise with the increase of the amount of nitrogen fertilizer. And the influence of nitrogen on Yield, qp, qN were not obvious. At tillering stage, Fo, Fm were on a same level in every nitrogen level. Yield, qp and ETR decreased with the increase in the amount of nitrogen. At mature stage, in addition to in the severe lack of nitrogen level, Fo and Fm reached the maximum of the whole growth period. In the normal nitrogen amount, Fv/Fm, Yield, ETR, qp were high, but qN was very low.
Multiscale Event Study of Private Placement Announcement Effect
Authors: Zhao Yu Ling
Published: September 2013

The importance of understanding the underlying characteristics of private placement Announcement Effect attracts much attention from academic researchers and financial practitioners. Due to the overwhelming complexity of the financial market, many traditional methods such as intervention method and event study fail to produce consistently good analysis results. Empirical Mode Decomposition (EMD), proposed by Huang et al., appears to be a promising data analysis method for nonlinear and non-stationary time series. In this paper, innovative EMD-based multi-scale event analysis method is proposed to estimate the impact of Announcement Date Effect on stock price volatility, and then take illustrative FangDa Group (000055 in Shenzhen Stock Market) to verify the effectiveness of the proposed method. The case study results show that this approach is a promising method from the multi-scale point of view to analyze the impact of Announcement Date Effect in stock market.
The Integrated Operation of the Network Security Equipments Based on HTTP
Authors: Liu Song Ai , Guo Yi Zhuo , Yin Xiao Qi
Published: September 2013

The paper introduces a device linkage system on firewall between the network side and the switch side of user host, and introduces the audit system connected in parallel between the hubs and switches. Then, the paper introduces a method based on HTTP packet recognition network security device linkage, which is a technology of information security intrusion detection and prevention based on the network. It is mainly used to solve the existing network security equipment linkage blocking technology limitation poor problem. Finally, the test result shows that the method is practical and effective.
A Control System of the Transferring Robot in Car Assembly Line
Authors: Zhu Shi Tie , Liu Jia Min , Liu Hui Mei
Published: September 2013

In the car assembly line made from a mix of ground plate-type conveying machinery and suspension conveying machinery, a control scheme of the car body automatically conveyed from the ground conveying machinery to overhead one is proposed, and the specific implementing methods are presented. The transferring robot adopts the Cartesian coordinate system and achieves the devices of lifting car bodies in linear motion along with four degrees of freedom by using four servo motors. The control system presented in this paper consists of the SIEMENS S7-300 T-CPU PLC, SINAMICS S120 servo driver components.
The Bus Line Network Efficiency Evaluation Algorithm Based on the Theory of Fuzzy and Hierarchical Analysis
Authors: Liu Zhi Qiang
Published: September 2013

By the effect of the optimization of bus scheduling, bring forward evaluation index model to evaluate optimization results,the corresponding algorithm of the model is given. This evaluation index is included transport capacity match,average transfer time,effective time-use law.analytic hierarchy process to integrate indicators into a comprehensive evaluation index,is used and built the evaluation index model about the optimization of bus scheduling.the use of indicators model line scheduling algorithm to optimize the evaluation made a simple algorithm.The three indicators in this model belong to quantitative techmical indicators,overcome the line network optimization index can not evaluate the program for dynamic scheduling its easy to evaluate program of bus scheduling,with strong practicality.
Strategies for the Security of Online Payments in E-Commerce
Authors: Zhang Chen , Jiang Shi Jie , Huang Bin
Published: September 2013

Online payment is apparently the key for the online transactions, so its security issue becomes the center of focus in the e-commerce development. In China, however, the information leakage, transaction fraud and other security issues have occurred so frequently that they have severely affected the customer confidence, and have become one of the major blockages in the e-commerce development. This article intends to have an in depth discussion of online payment security issues, examining current situations and problems in security technology, corporate social responsibility, and also propose appropriate strategic recommendations.
Research of Software Development Model Based on the Theory of Software Engineering
Authors: Wang Lei
Published: September 2013

purpose of research of software development is to attempt to develop lower cost , high reliability, and a variety of software to meet user needs. This paper introduce the advantages and disadvantages of various software development model from software engineering perspective.It proposed use of scientific principles and methods of engineering specifications to guide the development of the software , run and maintain , and trying to organize the work of software development , and then explore a new way to get rid of the software crisis.
Research on Computer Virus Prevention Strategies
Authors: Cao Wen Jun , Liu Yu Cun , Zhang Yi Qing
Published: September 2013

In this paper, an model with impulsive effect is considered. The existence of the periodic virus-free solution is given and the basic reproductive number is defined. Using the Floquet theory and impulsive differential inequality, we obtain the local and global stability of the periodic virus-free solution if , and the virus in the computers will be eliminated. Finally numerical simulation validates the results and shows that the periodic virus-free solution is unstable and the virus will persist when .
Finding Influentials Based on the User's Behavior in Microblogging
Authors: Wang Chen , Chen Shu Qiao
Published: September 2013

Microblogging has emerged as a new medium for communication and offers an explicit mechanism of facilitating information diffusion. In this work, we construct two indicators which are activity of users and historical attention. By introducing the factor of the spread ability of the microblogs, we propose a novel user influence ranking algorithm (User Influence Rank). Compared through experiments with traditional algorithm, the proposed algorithm is effective.
Study on Automatic Test Paper Generation Algorithm Based on the Maximum Flow of the Upper and Lower Bounds
Authors: Zhang Ying , Huang Shi Hang , Liu Ying , Fang Zhen , Dang De Peng
Published: September 2013

The core of exam management system is how to generate test paper automatically. The existing algorithmic is difficult to simultaneously achieve the requirements with efficient, random, flexible and expansive performance. In this paper, we introduce the maximum flow algorithm of the upper and lower bounds in the graph theory, create a test paper generation model based on constraint conditions, and implement the test paper generation under complex constraints. In addition, to illustrate the success rate and efficiency, the system generated automatically test papers on proposition needs. In turn, it verifies the correctness and rationality of the model. The algorithm proposed in this paper will provide theoretical and technical support for other systems, and it further promotes the development of the exam management system.
Research on Road Coasting Test of Hybrid Electric Vehicle
Authors: Li Teng Teng , Qin Kong Jian , Gao Jun Hua , Zhang Chun Long
Published: September 2013

On the long straight road of one proving ground of Ministry of Communications, in order to study the influence of brake energy regeneration system (BERS), gear on coasting resistance, road coasting tests of a HEB were carried out under different conditions, separately on and off of BERS, neutral gear and gearing up. Test results showed, the regeneration brake force generated during the process of brake energy regeneration had quadratic relationship with vehicle speed, which had the greatest impact on coasting resistance; Coasting resistance under gearing up increased basically in proportion with rise in vehicle speed, and were about 2200N higher than those under neutral gear. When carrying out HEB road coasting tests, the BERS should be turned off, the transmission should be in neutral gear.
Comprehensive Evaluation of the Level of Consumption Based on Principal Component Analysis and Cluster Analysis
Authors: Chen Wei Wei , Zhang Yun Ning
Published: September 2013

The residents' consuming level of the various provinces in China is not balanced, so accurate analysis of the various provinces and cities in China's consumer spending and identifying the key factors that affect the level of consuming are beneficial for the promotion of the construction of the country's overall development. The paper used principal component analysis, established a comprehensive evaluation of the principal component model, and combined cluster analysis with the analysis of the differences in consumption of the different regions of China. Finally, the paper carried on a comprehensive evaluation of the 31 provinces and cities in the level of consumption and offered a proposal for the evaluation results.
A Tag-Based Search Algorithm for Causal Bayesian Networks
Authors: Liu Tian Ping , Zhang Ming Ming , Wang Yan Yang
Published: September 2013

In this study, in order to improve the search efficiency of causal Bayesian network structure learning, a new tag-based search algorithm is developed. The algorithm uses tags and the topology structure of tags to mark different types of variables, thus narrowing the search space of causal Bayesian network structure learning. With this algorithm, the task of combining causal Bayesian network theory with existing theories or models in certain application establishments when causal analysis is required becomes simpler. The time complexity of the tag-based search algorithm, compared with other search algorithms, has been reduced. Moreover, the experimental results show that the efficiency and accuracy of the tag-based search algorithm are both high.
Accelerating IDCT Algorithm on Xeon Phi Coprocessor
Authors: Qi Jin , Yang Can Qun , Chen Cheng , Wu Qiang , Tang Tao
Published: September 2013

Inverse Discrete Cosine Transform (IDCT) is an important operation for image and videos decompression. How to accelerate the IDCT algorithm has been frequently studied. Recently Intel has proposed Xeon Phi coprocessors based on the many integrated core (MIC) architecture. Xeon Phi is integrated with 61 cores and 512-bit SIMD extension within each core, thus providing very high performance. In this paper, we employ the Knights Corner (a beta version of Xeon Phi) to accelerate the IDCT algorithm. By employing the 512-bit SIMD instruction and data pre-fetching optimization, our implementation achieves (1) averagely 5.82 speedup over the none-SIMD version, (2) averagely 27.3% performance benefit with the data pre-fetching optimization, and (3) averagely 1.53 speedup on one Knights Corner coprocessor over the implementation on one octal-core Intel Xeon E5-2670 CPU.
Estimation of Failure Rate and its Applications
Authors: Han Ming
Published: September 2013

This paper introduces a new parameter estimation method, E-Bayesian estimation method, to estimate failure rate. The definition, properties, E-Bayesian estimation and hierarchical Bayesian estimation of failure rate are given. A example is also discussed. Through the example the efficiency and easiness of operation of this method are commended.
Two Cascade Fault Models in Bayesian Networks
Authors: Wang Yao , Sun Qin , Liu Lin Ying
Published: September 2013

Based on a common Bayesian network that models a system which has a cascade fault, this paper designs a new Bayesian network model and compares the two models according to experiment data. The experimental result shows that the new one is more consistent with the practical situation. The paper also gives a method for constructing a Bayesian network that models a system which has a cascade fault, a method efficient in the field of detecting cascade fault.
Automatic Supervisory Control System of Quenching Temperature in Steel Mill
Authors: Zhang Jing Xuan , Di Zhi Gang , Jia Chun Rong
Published: September 2013

In forging process, quenching temperature is the critical factor on affecting products solidity and wear resistance. In order to guarantee products quality and improve work efficiency, it is very essential to monitor and control quenching temperature automatically. To keep quenching temperature in normal range, a novel automatic supervisory control system based on SCM minimum system was designed. By selecting appropriate sensor and corresponding signal processing, the system realized functions of many furnace temperature supervisory, temperature excursion alarming and temperature regulating. By simulation results, the system can realize automatic and intelligent supervisory, also, the system has characteristics of simple hardware, high reliability, powerful functions and strong practicality.
C-MAS: The Cloud Mutual Authentication Scheme
Authors: Liu Zhen Peng , Wu Feng Long , Shang Kai Yu , Chai Wen Lei
Published: September 2013

A cloud mutual authentication scheme (C-MAS) is proposed to solve the problem of authentication between user and cloud computing server. Trusted computing technology and traditional smart card methods are used in cloud computing service platform. The scheme completes the authentication of both sides in cloud computing, generates the session key according consulting, at the same time, verifies the credibility of cloud service platform. Analysis shows that our scheme can resist various kinds of possible attacks, so it is therefore more secure than other schemes. And the computing time meet the requirements of cloud computing environment.
Combined Enhancement Algorithm Based on Muti-Scale Analysis
Authors: Yuan Wei Guo , Wang Song
Published: September 2013

Based on combinations of wavelet and curvelet transforms, an adaptive combined enhancement algorithm (ACEA) was proposed to solve the problems of the conventional method for image enhancement based on wavelet transform that the enhancement of edges whose contrast was same but angles were different was greatly different. The algorithm uses the wavelet transform to enhancement homogeneous areas and the curvelet transform to enhancement areas with edges. Simulation experiment results demonstrated that the algorithm got better cross entropy and CORR, improved effectively the effect of edge enhancement with good visual effect.
Simulation and Implementation of an Improved Inscribed Chord Interpolation Algorithm
Authors: Zhang Hui , Wang Qin Ruo
Published: September 2013

In order to improve the shortcomings of the realization of the traditional quadratic curve interpolation inscribed chord method, this paper proposes an improved internal chord interpolation algorithm. The program flow chart of the algorithm achievement and the interpolation method of circular arc interpolation and linear interpolation of a detailed operation process is given in this paper. Finally through a calculation example the simulation is conducted, and the point by point comparison method were compared. The simulation results show the improvement on the quadratic curve interpolation in the inner string interpolation speed, good flexibility, and it worth popularizing in the interpolation algorithm for real time interpolation.
Variables Screening Method Based on the Algorithm of Combining Fruit Fly Optimization Algorithm and RBF Neural Network
Authors: Xu Fu Qiang , Tao You Tian
Published: September 2013

The form of fruit fly optimization algorithm (FOA) is easy to learn and has the characteristics of quick convergence and not readily dropping into local optimum. This paper presents the optimization of RBF neural network by means of FOA and establishment of network model, adopting it with the combination of the evaluation of the mean impact value (MIV) to select variables. The validity of this model is tested by two actual examples, furthermore, it is simpler to learn, more stable and practical.
A Bivariate Matrix Padé-Type Method of the 2-D Filters
Authors: Gu Chuan Qing , Cui Rong Rong
Published: September 2013

In this paper,according to the special generating polynomial, a class of bivariate matrix Padé-type approximation (BMPTA) is given by introducing a bivariate matrix-valued linear functional on the scalar polynomial space.An application in state-space realization of the 2-D filters is also given in the end.
Orientation-Independent Tensor Voting Analysis
Authors: Guo Si Lu , Wang Xiao Nian
Published: September 2013

Tensor voting framework is an approach for perceptual organization. A tensor can provide more information than scalar or vector in image processing. However, the structure of tensor also makes it not unique but orientation dependent. In this paper, to quantify properly the intrinsic orientation-independent voting process, we proposed a new description of the tensor fields, which consists of three rotationally invariant quantities. Instead of coordinate transformation, this approach does not require tensor diagonalization or eigenvalue calculation. Therefore, our approach is not susceptible to potential artifacts induced during these number manipulations, meanwhile simplified the voting process at the same time.
The Development and Application of Object-Oriented Finite Element Analysis System for Sheet Metal Forming
Authors: Li Guang Jun , Yuan Sheng , Xu Xu Dong
Published: September 2013

Recently, the finite element (FE) numerical simulation technology has become an effective approach to solve problems in precise manufacturing of sheet metal parts in aircraft industries. Based on FE analysis software Pam-Stamp, Chengdu Aircraft Industrial Company developed a FE system for analysis of typical sheet metal forming. This system has been successfully applied in the development of new products, which shortens the preparation cycle of process and enhances the capability for rapidly researching and developing.
A Novel Digital Watermarking Algorithm for Medical Color Image
Authors: Sun Xin De
Published: September 2013

In this paper, we propose a novel medical color image digital watermarking algorithm, which can realize watermark capacity, transparency and robustness effective compromise. We encrypt the watermark image by Arnold Transform at first and then take it into a random sequence. The principal component of medical image is divided into some sub-blocks with 4×4 and each block is transformed by DCT. One bit of watermark is embedded by comparing the size of specific DCT coefficients in the adjacent sub-blocks. Watermark can be extracted without the original medical image. The experimental results show that the digital watermarking algorithm has a high transparency and big capacity as well as certain robustness.
High Quality Algorithm for Chinese Short Messages Text Clustering Based on Semantic
Authors: Yang Feng Xia
Published: September 2013

Existing data clustering method lacks considering of latent similar information existing among words,and it leads to unsatisfactory clustering result.Aiming at Chinese short message text clustering,this paper proposes a clustering algorithm based on semantic.It offers Chinese concept,and the measuring methods to calculate the similarity degree about words and Chinese short message text.It completes the clustering of Chinese short messages text through fission downwards and mergence of twos upwards.Experimental results show that this algorithm has better clustering quality than traditional algorithm.
Optimizing Parameters of Fuzzy Petri Net Based on Artificial Immune Algorithm
Authors: Liu Bai Ming , Qi Ai Qin , Wei Wei
Published: September 2013

Aiming at knowledge reasoning ability of fuzzy petri net depending on the parameter and the parameters usually obtained by specialist, an algorism based on artificial immune algorism for obtaining the optimum parameters was proposed. Firstly, the fuzzy petri net and generating rules were defined and described, and then the coding method of antibody, Affinity evaluation function and Simulated Annealing immune selection operator are designed to improve the classic artificial immune algorism. The specific algorism based on this improved artificial algorism was defined. The simulation experiment shows the method in this paper can accurately realize the parameters optimizing and has the litter square error, compared with the other methods, our method has the quick global convergence rate, optimizing ability and strong Versatility.
Genetic Optimized BP Network Method for Camera Calibration in Binocular Vision
Authors: Hu Xing Chen , An Hong Lei , Ma Hong Xu , Xie Hai Bin , Xue Hong Tao
Published: September 2013

Camera calibration is the first step of positioning using binocular vision. Owning to the approximation capability of the neural network, a complex mathematical model needed by traditional calibration methods can be avoided. However the general neural network methods have their drawbacks to reduce its accuracy. This paper presents searching algorithm for the best structure and parameters of a neural network using an improved genetic algorithm (GA). The experiments show that this method can be used to establish a mapping between 2D coordinates and 3D coordinates directly and accurately, which is better than traditional calibration and general BP network methods.
A Feature Weight Algorithm for Text Classification Based on Class Information
Authors: Li Yong Fei
Published: September 2013

TFIDF algorithm was used for feature weighting in text classification. But the result of classification was not very well because of lack of class information in feature weighting. The known class information in the training set was used to improve the traditional TFIDF feature weight algorithm. Class distinction ability and class description ability were introduced, respectively expressed by inverse class frequency and term frequency in class, document frequency in class. A new feature weight algorithm based on class information, TF_IDT, was proposed. Naïve Bayes classifier was used to test the algorithm. The precision, recall and F1 measure were significantly increased. Macro F1 measure raise by 6.46%. It was proved to be useful for improving text classification to use class information in feature weighting. In addition, the computational complexity of the proposed algorithm was lower and more suitable for use in fields of limited computing capability.
Wavelet Robust Filtering of Out-Trajectory Data
Authors: Meng Ling Jing , Liu Hai Bo
Published: September 2013

Wavelet-based robust filtering of process data is proposed in order to reduce the influence of the outliers and noise in Out-trajectory data. We utilize the moving median filtering method to reject outliers in the original data and then combine wavelet de-noising method with empirical Wiener threshold to suppress noise. Simulation calculation and real engineering application has shown that the novel algorithm reliably preserves the information encapsulated in a process signal corrupted with noise and outliers. The methodology has been proved to be reliable and robust.
A Revised Distributed Interpretation for Ontology Integration
Authors: Liu Kun , Zhang Liang , Tang Sheng Qun , Qin Xue
Published: September 2013

Under the background of information integration, the semantics of ontology integration is still an open issue. In this paper, we propose a revised distributed interpretation which is adapted from distributed description logics. In our proposal, ontology integration is taken as global ontology and local ontologies connected by ontology mapping. They are respectively interpreted with DL semantics and Semantic Import semantics. In this way, our method can facilitate understanding and maintenance of ontology integration.
The Design for Automatic Target Reporting System Based on Image Processing
Authors: Xu Zhi Hui , Li Wei Zhong , Xiao Yong Jun
Published: September 2013

Photo-electricity target with low cost, high efficiency and high reliability is widely used for gunnery training in military affairs and athletic sports. The automatic target reporting system based on image processing is constructed and some experimental is done. The result is shown that compared to the way of manual target, automatic target reporting system has the character of easy to operate, low-cost and easy to popularize.
Improvements on Motion Estimation Algorithms in Video Coding for H.264/AVC
Authors: Wang Xiao Li , Zhao Long
Published: September 2013

Motion estimation is the most important step in video compression. By using high precision motion vector in the H.264 encoder, the calculation is rapidly increased, but in the whole process of coding, motion estimation occupies about 80%. Although many motion estimation algorithms have been proposed to reduce the computational complexity of motion estimation, it still cannot meet the strict real-time demand. In this paper, based on the analysis of UMHexagonS algorithm, dynamic searching window is chosen in the UMHexagonS algorithm, then according to the motion activity, it uses different template to reduce the motion estimation time and improve video coding efficiency. Proved by the experiments on various test sequences, compared with the UMHexagonS algorithm, the motion estimation time of the proposed algorithm average saves 17.7525% in the case of the quality of the reconstructed image and rate close. It not only reduces the complexity of the algorithm, but also improves the real-time performance of the encoder.
One-Dimensional Searching-Based Particle Swarm Optimization
Authors: Lin Wen Qiao , He Yu Feng , Zhao Xin Chao
Published: September 2013

Particle swarm optimization (PSO) guides its search direction by a linear learning strategy in which each particle updates its velocity through a linear combination among its present status, historical best experience and the swarm best experience. Such a velocity update strategy is easy to achieve, but it is experimentally inefficient when searching in a complex space. The reason is that the current velocity direction of each particle definitely has a great potential on optimal value, however, traditional velocity accumulation search strategy has a great restriction on such a velocity potentiality. Therefore, a new searching mechanism based on One-dimensional Search (OdS) technology is presented in this paper, and a novel PSO variant (OPSO) is also proposed so as to let the swarm effectively search along the first several principal velocity directions by OdS strategy. OPSO can inherit most of the velocity information of all the particles to guide them to the most promising direction, which has a great difference in learning mechanism with usual PSOs. Experimental results indicate that OPSO has competitive performance when comparing with the well-known CMA-ES and CLPSO.
The Application of Fuzzy Control in Computer Control
Authors: Zhao Yu Chi , Liu Jing
Published: September 2013

Fuzzy control theory is a computer numerical control theory based on fuzzy set theory, fuzzy language variable and fuzzy logic reasoning. It is widely used for it doesnt require exact mathematical model of controlled object in system design, so that fuzzy control has an advantage in researching high nonlinear system like inverted pendulum. However, rule explosion problem is unavoidable when we use fuzzy control theory to solve some multivariable system control problems such as inverted pendulum. This paper presents the application of the optimal control theory to reduce the input variable dimensions and the rules of the fuzzy controller through designing a fusion function, solving rule explosion problem successfully. The paper also discusses the control effect influenced by quantification factors, promoting performance quality of the fuzzy controller by setting threshold value to make quantification factors automatic regulation.