bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantitative and Meticulous Methods to Aero-Engine Assembly Process
Authors: Wang She Wei , Mo Rong , Yang Hai Cheng
Published: November 2012

Manual operation and paper document based management are the bottleneck to the quality and efficiency of aero-engine assembly process. A set of optimization methods is presented about the aero-engine assembly process. From the technical point, the model of LoA (Level of Automation) was expanded with the addition of the role dimension and task dimension to construct a quantified method of level of assembly information automation, which was utilized to guide the digitalization of assembly process. From the management point, the meticulous management was utilized to improve the microcosmic operation and macro flow control of assembly. A refine and quantified assembly digital system for aero-engine has been developed to verify the effectiveness of the optimization methods.
Study on the Data Processing Technique in High Resolution Remote Sensing Satellite
Authors: Cheng Yun , Huang Qiao Lin
Published: November 2012

The development and application of high-resolution remote sensing was reviewed, the key problems which are confronted now were described, the main disparities between the research level home and abroad was analyzed. In the end, the prospect to the technique of improving image quality in high-resolution remote sensing satellite is given. Depending on self-operation of satellite system, accomplish the real-time image processing will be the trend of HR remote sensing in the future.
Study of Sampling in CCD Photoelectric Imaging System
Authors: Qiao Nao Sheng , Yao Chun Mei
Published: November 2012

Aiming at the importance of sampling in CCD photoelectric imaging system, the content is studied by us in detail. Firstly, its basic principle is analyzed, and the simple physics explanation and formula deduction are given, and the spectrum expression is obtained. Secondly, the cause of lack sampling is analysed. Finally, the results of experiment verify the correctness of theory analysis.
Research on Maximum Power Point Tracking Method for Photovoltaic System
Authors: Lai Yue Shen , Hou Sheng Dong , Wang Gang
Published: November 2012

Photovoltaic Array is nonlinear,and the power generated by it is influenced by sun light,temperature,load and so on In order to improve the system efficiency, firstly, analyzed the physical and mathematic model of photovoltaic array, through the MATLAB Simulink application software simulation tools, set up a computer simulation model of photovoltaic modules.Secondly,this paper gives the improved Perturbation and Observation Method and the Boost circuit used in the controller.after the analysis of some common maximum power point tracking algorithms and DC-DC circuits. Experiments shows that the controller method can rapidly to track the maximum power point,and increase the cell efficiency.
Dimensionality Reduction Method of Training Sample Set for SVDD Based on Statistical Information
Authors: Wu Mian , Chen Bin , Gao Bao Cheng , Cheng Xiao Bin , Yan Zhao Li
Published: November 2012

In order to solve problem of high time complexity of support vector data description (SVDD) in training process, a low complexity SVDD algorithm is proposed by introducing statistical information grid (STING).The algorithm applies STING division to sample set space using support vector distribution characteristics and kernel distances between samples and sphere’s centre. Based on position information of sample points, it rejects non-support vectors and obtained simplified sample set. The results show that proposed method can reduce training scale and time without decreasing classification accuracy.
Ranking Fuzzy Numbers Based on the Mean and Fuzzy Degree of Fuzzy Number
Authors: Wang Gui Xiang , Zhou Guang Tao
Published: November 2012

In this paper, a novel approach to ranking fuzzy numbers based on the mean and the fuzzy degree of fuzzy number is proposed. In the approach, a new ranking index that is comprehensive consideration of the mean and the fuzzy degree of fuzzy number is constructed, and then the properties of the ranking index are given. Moreover, to compare the proposed approach with the existing approaches, numerical examples are given. The comparative results illustrate that the approach proposed in this paper is better and has simpler calculations.
Anti-Synchronization for a Modified Chen-Qi-Like Chaotic System
Authors: Huang Su Hai
Published: November 2012

A modified Chen-Qi-like chaotic system is presented. Some basic dynamical characteristics of this system are studied by calculating the Lyapunov exponent and phase figure. Based on the Lyapunov stability theorem, adaptive control scheme and parameters update law are presented for the anti-synchronization of new chaotic systems with fully unknown parameters. Finally, the numerical simulation verify that the control law and parameter changing are correct.
The Band Width Design of Linear Sweeping Signal in Vibroseis
Authors: Shen Yuan Yuan
Published: November 2012

Linear sweep signal is one of the most common signals in Vibroseis. The rationality of designing a sweeping signal decides the detection effect. This paper started from the characteristics of harmonic interference. It has researched distribution of harmonic interference and looked for a good sweeping bandwidth in order to suppressing harmonic interference.
Study on UWB Channel Equalization with Adaptive Gain Affine Projection Algorithm
Authors: Li Yin Xue , Zhang Jun , Zhi Yong Feng
Published: November 2012

A new equalization technology study with adaptive affine projection algorithm, aiming at the inter symbol interferences in the UWB channels was presented specially for time-hopping UWB (TH-UWB) systems. The computational complexity and convergence rate of the APA-AG algorithm was compared with the traditional algorithms. The simulation results show that this method improves the convergence rate and has a good stability. And the equalizer with the affine projection algorithm using adaptive gain is better than the RLS equalizer and the LMS equalizer.
Solving the Volterra Integral Equations with Weakly Singular Kernel by Taylor Expansion Methods
Authors: Huang Li , Zhao Yu Lin , Tang Liang
Published: November 2012

In this paper, we propose a Taylor expansion method for solving (approximately) linear Volterra integral equations with weakly singular kernel. By means of the nth-order Taylor expansion of the unknown function at an arbitrary point, the Volterra integral equation can be converted approximately to a system of equations for the unknown function itself and its n derivatives. This method gives a simple and closed form solution for the integral equation. In addition, some illustrative examples are presented to demonstrate the efficiency and accuracy of the proposed method.
AGO-Based Time Series Prediction Method Using LS-SVR
Authors: Guo Yang Ming , Li Xiao Lei , Ma Jie Zhong
Published: November 2012

Fault or health condition prediction of complex system equipments has attracted more and more attention in recent years. Complex system equipments often show complex dynamic behavior and uncertainty, it is difficult to establish precise physical model. Therefore, the time series of complex equipments are often used to implement the prediction in practice. In this paper, in order to improve the prediction accuracy, based on grey system theory, accumulated generating operation (AGO) with raw time series is made to improve the data quality and regularity, and then inverse accumulated generating operation (IAGO) is performed to get the prediction results with the sequence, which is computed by LS-SVR. The results indicate preliminarily that the proposed method is an effective prediction method for its good prediction precision.
A Correction Method for Time to Digital Converter
Authors: Diao Jie Tao , Li Qing Jiang , Wang Peng , Wang Yi Nan
Published: November 2012

The hardware structure and the data-processing flow of FPGA based Time to Digital Converter (TDC) are introduced firstly in the essay. Then, according to the issue of inaccuracy in arriving time of external triggers, a correction method is proposed to enhance the accuracy of starting time. In the end, by contrast experiment, it is shown that this correction method could improve the accuracy of starting time effectively. In addition, the minimum time resolution is 400ps, which makes the TDC be adequate for applications in the fields which require high-resolution time measurement, for example, in the application of time-of-flight mass spectrometer (TOF-MS).
De-Noising Signal of Electromagnetic Flowmeter Based on Wavelet Transform
Authors: Liu Tie Jun , Chen Yin Jia
Published: November 2012

A Software filter technique based on Haar wavelet is proposed for effectively suppressing the noise components in the signal of electromagnet flow transducer. It is proved with computer simulation based on MATLAB Wavelet Toolbox that the proposed filter technique is well matched with the feature of the signal of the electromagnetic flow transducer in effectiveness and efficiency. A prototype flowmeter was developed based on the proposed technique, experimental result with the prototype shows that the proposed Haar wavelet filter technique is well suitable for de-noising the signal of electromagnetic flow meter.
Reliability Assessment Using Fuzzy Evidence Theory
Authors: Zhang Xing Yuan , Xu Hai Rong , Cao Da Min , Hu Sheng Bin
Published: November 2012

Aiming at many uncertain factors in the reliability assessment of aircraft, a new approach to reliability assessment combining D-S theory of evidence and fuzzy theory was discussed. The concepts of inclusion degree and intersection degree of fuzzy sets were redefined, and fuzzy evidence theory was extended to the circumstance when the framework of discrimination is a continuous and in finite set. Finally, the practical assessment process was given in an illustrative example of aircraft system. The results show that the method is effective and reliable.
Motion Compensation Based on Keystone Transform and Wigner-Hough Transform
Authors: Song Yu , Hu Jian , Xu Jun Sheng
Published: November 2012

The signal accumulation algorithm is one of the signal processing algorithms which is commonly used in the radar signal processing. However, with the growth of accumulation time, moving target will appear the problem of range migration and Doppler migration. As a result, signal energy can’t accumulate effectively, and the ability of radar to detect targets may be affected, so, motion compensation before integration is necessary. In this paper, a motion compensation method based on Keystone transform and Wigner-Hough transform is presented, which can correct the migration. Then simulation is carried out and the results verify its efficiency.
Object Remarkable Features Extraction Strategy Based on Imagery Conceptual Network
Authors: Ke Hong Chang , Wang Hui , Kong De Gang
Published: November 2012

Visual imagery is the foundation of image thinking and provides key features of special object for the top-down guidance of visual attention. The simulation of image thinking reasoning based on visual imagery has important significance for many fields such as automatic production, aerospace and image processing. At present, the representation and reasoning mode of visual imagery has gradually become one of the hot topics in the field of scientific and technological research. An object remarkable features extraction strategy based on the imagery conceptual network constructed before is proposed. The contribution of the strategy is that it can find remarkable features of the special object distinguish from others in the finite object concept set stored, which can be used to guide other cognitive activities such as target searching and visual attention.
BOU-Based Cycle Determination for Different Kinds of Mechanical Vibration Signals
Authors: Lv Miao Rong , Lu Jian , Chen Zhi Qiang
Published: November 2012

The cycle of each vibration component of a mixed signal is a very important parameter for reciprocating mechanical vibration signal processing. The cycle determination also has an important influence to obtain the typical characteristics of every sub-signal, to achieve the fault detection and diagnosis of the equipment. But signals acquired at the scene tend to a mixture of a variety of vibration components that have their own periodic characteristics. This paper mainly proposes a method based on the conception of the basic operation unit(BOU) for mechanical vibration signal processing, and the principles and processes of this method are described in detail. Simulation method is introduced in order to explain this principles. Furthermore, A Delphi programming is developed to realize this simulation implementation, and simulation results are demonstrated to fully verify its correctness. Finally, a method to quickly determine the various vibration component cycles is put forward.
An Algorithm for Salt and Pepper Noise Removal Based on Information Entropy
Authors: Zhao Feng , Ma Rui Chuan , Ma Jia Qing
Published: November 2012

By using information entropy to estimate the distribution uniformity of the pixels with a same gray level, an accurate salt and pepper noise detection method is presented based on the statistical property of salt and pepper noise. And then, a new modified mean filter is designed, which sets up noise-centre filtering windows, Moreover, the weighted means are calculated by merely using the non-noise points in each filtering window. The presented filter can efficiently preserve the details of images, avoid the affection of noise points on the restore points, and reduce the dimness of the noise points. Experimental results show that this algorithm has the better performance on noise detection, noise filtering, and the protection of detail.
Study of Signal Transmission for SIP and POP
Authors: Shi Ling Feng , Cai Cheng Shan , Xiao Yuan Ming , Cheng Li Ye , Meng Chen , Lai Xin Quan
Published: November 2012

With the electronic toward miniaturization and multifunctional development, such as System-in-Package (SIP), Package-on-Package (POP), these packages have been widely used. Signal speeds increase and then require that signal has a good transmission quality. Therefore the design of signal integrity should take into account these issues from the beginning design. In this paper, a model about the wire bonding transmission problem between the upper and lower levels of chip is proposed. The simulation results are shown at the different height and radius of the equivalent model. Meanwhile, researching in different cases, noise interference source makes the influence on signal quality. Finally, by adding the signal return path, signal integrity is achieved well by the eye diagram analysis.
Research on Key Techniques of Virtual Arthroscopic Knee Surgery Training System
Authors: Li Jin Fang , He Han Wu , Huang Hao , Lei Jun
Published: November 2012

This paper discussed the three-dimensional reconstruction technique from medical image, the interaction technology, and some other key techniques needed to be solved urgently of the virtual surgery training system. On the basis of research results, we built a surgery training system.
A Genetic Algorithm for the Optimization Problem of Highway Maintenance Equipment Arrangement
Authors: Zhao Xiao Feng , Wang Xue Wen , Zhang Yan Hong , Jiao Li Yan
Published: November 2012

Highway maintenance equipment arrangement is a complex optimization problem. To solve this problem, a new “maintenance equipment service capacity (MESC)” index is introduced to evaluate the maintenance equipment service range. And an improved genetic algorithm based maintenance equipment arrangement method is put forward. Using this method, maintenance equipment can breakthrough the traditional work zone limit and the service range of maintenance equipment can be improved to the greatest extent. Practical experiments proved that the method in this paper can effectively reduce the redundant rate and improve equipment utilization of maintenance equipment arrangement.
One-Way Function Construction Based on the MQ Problem and Logic Function
Authors: Sun Yan Jun , Liu Chang Ming , Li Hai Yu , Yuan Zhe
Published: November 2012

Multivariate quadratic based public-key cryptography called MQ problem which based on calculation of a secure cryptography of multivariate equations and MQ cryptography security is based on the difficulty of the solution of multivariate equations. But computer and mathematician scientists put a lot of effort and a long time to research MQ cryptography and they have proved that MQ cryptography is NP complete problem. Therefore, before the P problem Equal to the NP problem we do not figure out selected multivariate equations by random in polynomial time. So we can use this feature to construct the relative safety method of the public key encryption. A new type of public-key cryptosystem has been brought up in this paper that one-way shell core function which has such advantages as more security and flexibility, and provides a more inclusive public-key cryptosystem.
A Model for E-Government Information Resource Integration Based on Ontology
Authors: Li Dong , Liu Xi Lin
Published: November 2012

Ontologies have attracted increasing attention in IT community and their benefits are now recognized for E-government applications. As one of the typical semantic representation methods, ontology-based integration approaches have been the focus in the past few decades. The definition of the ontology was reviewed firstly. Then methodological aspects related to ontological engineering were introduced. Importantly, a model of E-government information resource integration was presented. Finally, an E-government database ontology was developed for sharing and reuse of E-government information resource.
Design of Image Retrieval System Based on Speech Recognition
Authors: Wei Zheng Xi , Liang Jin Ming
Published: November 2012

Nowadays cross-media data mining and retrieval becomes an urgent problem in order to use multimedia resources more efficiently. This paper presents an overall design method on an image retrieval system based on embedded development. On the basis of speech-recognition technology, the voice command is converted into the text which is later to be as the keywords when searching image. In this way, our system allows users to just say can reach the purpose of image retrieval. The tests prove we successfully achieve the image retrieval after inputing voice-command. The integration of speech and image recognition technology can greatly free people's hands and provide a great convenience to users, especially for the illiterate or some disabilities.
Research and Design of Ceramic E-Commerce Dual-Channel Collaborative Distribution System
Authors: He Fu Bao , Zhang Yi Lai , Huang Yi
Published: November 2012

With the rapid development of the network information technology and logistics processing technology, the information and services are changing the people’s lifestyle, and meanwhile, exerting an influence on the sales channel. Many manufacturers are developing the network sales channel actively and selling products through the traditional channel at the same time. If manufacturers set the network sales channels incorrectly, or implement the network direct distribution thoughtlessly, it will cause the distributors’ boycott in the traditional distribution channel. Based on the existing ceramic e-commerce platform, this paper tries to develop the real dual-channel collaborative distribution system for the ceramic manufacturers. Through the system, the traditional distributors can join the network distribution channel, and sell products with dual-channel: one is the physical store sales channel after the products are delivered from the manufacturer using online procurement and payment; the other is the non-inventory network sales channel after the customers order and pay, then the manufacturer delivers to the customer directly according to the distributor’s virtual online procurement. Through the system, the ceramic manufacturer can maintain the traditional distribution channel, broaden the network distribution channel and develop the network distributors only using the non-inventory network sales model, and realize the collaborative distribution management in the traditional and the network distribution channel.
The Research on Grid-Based Contour Tracking Method
Authors: Zheng Hai Chun
Published: November 2012

The contour point interpolation, contour tracking, contour connection, and linear iterative curve fitting algorithms were studied by the grid method. Emphasis was on solving the degenerate points and ambiguous contour line connection problems. The results show using these methods can accomplish smooth contour drawing based on discrete data points.
Research on Production Cycle Monitoring Strategy Based on Network-Based Manufacturing
Authors: Zhao Ming Guang
Published: November 2012

Under the environment of network-based manufacturing, the main project of enterprise alliance is decomposed to multilevel sub-projects. Each sub-project is distributed to alliance partners of different levels. In order to ensure the production cycle , achieve successful operation of enterprise alliance, it is necessary to employ a rational strategy to monitor the progress of all sub-projects. This paper proposed a new algorithm for expressing the progress of each partner. This method is convenient to gain the progress message using the progress curves. The production cycle monitoring strategy with a main flow of task progress scheme, schedule progressing computing, progress report and progress monitoring is also given. This method can precisely and dynamically reflect the schedule progress of multi-level sub-projects and the conditions of the alliance partner’s manufacturing resource.
Pre-Split Anti-Collision Binary Tree Algorithm
Authors: Cui Ying Hua , Zhao Yu Ping , Wang Hui Yang , Zhou Jin He
Published: November 2012

In RFID system, reducing the frequency of collisions is very important for fast tag identification. In this paper, we proposed a pre-split anti-collision algorithm based on binary tree algorithm. The proposed scheme pre-splits the tags into different groups before the reader detects the first tag. Simulation results indicate that the modified algorithm can achieve much better performance than the conventional one.
An Improved Object-Based Video Segmentation Method
Authors: Xu Wen Dan , Lai Xin Quan , Xu Dong Lai
Published: November 2012

This paper presents an improved video segmentation scheme, which consists of two stages: initial segmentation and motion estimation. In the initial segmentation, the watershed transformation followed by a region adjacency graph guided region merging process is used to partition the first video frame into spatial homogenous regions. Then the motion of changed region is estimated. Based on the highly efficient quadratic motion model, the motion estimation is undertaken using Gauss-Newton Levenberg-Marquardt method to minimize the least-square error function. Experimental results show the proposed scheme provides high performance in terms of segmentation accuracy and video compression ratio.
Just-in-Time Orders Delivery Mixed Outsourcing Problem
Authors: Ho Zih Ping
Published: November 2012

In a competitive environment, service guarantees would affect customer back-off rate. On time delivery plays an important role on time-based competition. If orders cannot be delivered on time, those orders should be outsourced in order to gain a good reputation. However, if a cargoes distribution company has it own trucks, it would gain more profits if the orders were not outsourced. Thus, JIT orders delivery mixed outsourcing problem (JITMOP) is a difficult decision making problem in a cargoes distribution company. This research constructed a Mixed Integer Programming (MIP) model for maximizing operational profits of the company. The study proposed a Genetic Algorithm with Tabu (GAWT) to solve the model. For validation, the proposed approach was comparing to Random Hybrid Tabu (RHT) and Ransom Search (RS); also found GAWT outperformed RS by an average of 54%. It represented that a cargoes distribution company would gain more than 54% of profits if they schedule orders well, part of orders outsourcing to collaborative companies, and using GAWT heuristics. Future research suggests expanding this research to include more discussion if some assumptions are changed.
The Design of “The Use and Maintenance of Common Digital Products” Popular Science Website
Authors: Li Chun Yan , Fang Qi Jiao , Kong De Wei
Published: November 2012

With the development of technology and the improvement of people’s living standard, more and more people purchase digital products, a multimedia website becomes an important way for people to learn how to use and maintain the digital products. The demand for knowledge about digital products use and maintenance was identified by questionnaire and interview, and then the popular science website was designed and made. From the paper, you can learn the design principles of the popular science website: properly selecting contents, using multimedia technology, clear navigation and easy to be used. This website contains the modules of computer, mobile phone, camera, DV, MP4, expert answer and forum, you can learn the basic modules and functions design, and the technical key points of implementation of the popular science website in the paper.
Analysis of Statistics Data Based on Mixed Visualization Techniques
Authors: Liu Fang , Tian Kai , Sun Yun , Li Bo Yu , Lin Hai
Published: November 2012

Economic statistics data can exhibit the profiles of social economy phenomenon. With constantly increasing demand for analysis of the statistical data, the statistical departments are urging to find a more effective and easier way to present statistical data to users. This paper takes full advantages of the geospatial characteristics of statistical data and then presents a mixed visual analysis method to implement data process and display statistical data effectively. In order to enhance the visualization results by applying the rules of visual perception, the proposed system combines a variety of visualization techniques and coordinated multiple views together. Through the study of spatial-temporal and multivariate statistical data, users can adopt interactive techniques to further analyze the interested statistical data. The experimental results show that the proposed mixed visualization techniques are easy to discover the variation law of data and offer a fast and convenient visualization and analysis tool for statistical data.
Spectrum Comparative Analysis of the Frequency Domain Complex Cole-Cole Mode
Authors: Xu Wen Dond , Li Jing Zhao
Published: November 2012

Using MATLAB the spectrum comparative analysis was gived between complex Cole-Cole model and basic Cole-Cole model when theirs parameters change. The results show that the complex resistivity curve shape of complex model is limitted by total variation of two same kind parameters of complex model. The variation rule of the curve shape is consistent with basic mode when same kind parameters change. The influent of polarization rate and frequency correlation coefficient is bigger than time constant parameter. The resistivity curve of parallel complex model and series complex model is very similar. Then points out the difficulties and problems faced by the extraction of IP parameters.
Design of SAAS Model-Based System of Exhibition Management
Authors: Xu Jing
Published: November 2012

Aiming at existing exhibitions, informationized management system can only meet the requirement of monomer exhibition management, but which cannot meet the needs of management chain and integration of resources of a large number of exhibitions together. For the traditional B2B e-commerce only provides a platform of exchanging information and communication for the supplier and requisitioning party, we design a SAAS-based management platform to build management of all the management works of an amount of actual exhibitions, as well as the use of rich media technology for Webcast and interactive of activities of the exhibition, and reduction of management costs in all of the procedures, which builds virtual year-round exhibitions online, based on the exhibition system and huge B2B resources to realize the target of constructing a B2B e-commerce platform which keeps a complementary and coexistence of online-operating and virtual year-round exhibitions, and more operational efficiency as well.
A Kind of Intelligent Client Flow Engine Based on Ajax
Authors: Shao Yi Chuan , Yao Xing Jia , Tian Li Wei
Published: November 2012

To solve the lack of intelligence and the traditional Ajax engine server’s overload problem, we design a new Ajax engine based on the browser caching mechanism named ICFE (Intelligent Client Flow Engine) which separates the business logic layer from data access layer, and transfers business logic layer and the relevant data to the client catch to implement.
Cat Swarm Optimization-Based Schemes for Resource-Constrained Project Scheduling
Authors: Xu Long , Hu Wen Bin
Published: November 2012

This paper presents a cat swarm optimization (CSO)-based method for resource constrained project scheduling problem (RCPSP). The CSO simulates the behavior of cats in two sub-models and potential solution to the RCPSP is presented by the multidimensional positions of cats. CSO-based scheme for the RCPSP has three main stages: first randomly initialize the parameters of cats, then update the position in iteration and calculate the fitness through serial SGS method, finally terminate the process if the condition is satisfied. Compared to the other widely used heuristic methods, CSO is easy to understand and to implement. The adoption of CSO in solving RCPSP indicates the universality of CSO in solving operational problems. When solving RCPSP, some refinement of original CSO are made. The performance of the proposed algorithm is compared against a set of heuristic and meta-heuristic methods, and it is tested on standard problem sets called PSPLIB which is freely available on the Internet. The empirical results show that CSO has an average good performance among the other compared methods.
Study on Mechanical Equipment Fault Diagnosis System Based on Cloud Computing
Authors: Hao Wang Shen , Dong Xin Min , Han Jie , Lei Wen Ping
Published: November 2012

Generally working in severe conditions, mechanical equipments are subjected to progressive deterioration of their state. The mechanical failures account for more than 60% of breakdowns of the system. Therefore, the identification of impending mechanical fault is very important to prevent the system from illness running. It generally requires high performance computer to complete the traditional parallel computing, while the parallel FFT algorithm based on Hadoop MapReduce programming model can be realized in the low-end machines. Combining with Cloud Computing and equipment fault diagnosis technology, it can realize the massive data parallel computing and distributed storage. The result of experiment shows that it would provide a good solution and technical support for mechanical equipment on-line monitoring and real-time fault diagnosis.
Automatic Identification of Features from CAD Models Based on STL Files
Authors: Huang Li Li , Zhang Xiang Wei
Published: November 2012

Accessing CAD geometry for mesh generation is one of the major technical issues related to moving simulation forward. This paper studies the automatic identification of features from CAD models based on STL files. The STL file generated with the well-known CAD software UG is used to transfer the surface geometrical data information. A new STL data file with topological connection is constructed for the calculation in the next. The geometric characters of the solid models are correctly identified by combining the edge-based method and the face-based method. It provides a foundation for precise matching of the element meshes to the boundaries of the solid model and improving the mesh quality.
Research on Digital TV Anonymous Authentication
Authors: Feng Yao Qiu , Jiang Zheng Tao
Published: November 2012

Now many television operators are providing subscribers with more and more value-added service. When people use these services they will have the risk of leaking personal information, such as the watching habit, the privacy problem has become a hot topic to the public. This paper proposes a scheme of CAS anonymous authentication in two-way network, and the scheme uses group signatures based on the elliptic curve. It meets both efficient authentication and transaction tracking needs, and can also protect user's privacy in a certain extent.
An Approach to Diminish Boundary Distortion in Compressing Grid DEM with Discrete Wavelet Transform
Authors: Chang Zhan Qiang , Liu Xiao Meng , Ao Zu Rui
Published: November 2012

Digital elevation model, the core data for 3-dimensinal visualization and spatial analysis, plays a key role in geosciences and GIS, and wavelet transform is an important tool for data compression. According to the characteristics of DEM data and wavelet transform, we proposed an approach to diminish boundary distortion in compressing grid DEM data with discrete wavelet transform, so that the compression performances are evidently improved. The experimental results indicate that not only higher compression ratios but also reconstructed DEM data with high accuracy are achieved by using the proposed approach.
A Computational Experiments Mode for the ERSNWTP Configuration and Scheduling
Authors: Wei Xiao Dong , Huang Wei , Ma Zheng Li , Wu Xue Wen , Li Cheng Ming , Wang Feng Zhou
Published: November 2012

The Calculated experimental research mode and induction intervention regulation management methods of the Eastern Route Water Resources Configuration and scheduling of the South-to-North Water Transfers with are proposed based on the Complex adaptive system paradigm in the paper. We use "communication" to replace pure "technical economic optimization", and it has the characteristic of interactive-coordination-adaptation. Through the researching on non-traditional (based on calculated experimental and data driven) complexity theory and method of modeling which was different with the traditional accurate modeling, designed the "data-analytic-identify-regulation" feedback circular Agent calculation experimental mode, as the basis of multistage information calculation and simulation.Then we proposed the Induction of intervention control management method use Multi-Agent collaborative computing technology, in order to control and improve the current performance of logistics, information flow, capital flow for water transfer system .
A Computer Controllable Microwave Signal Generator for CPT Atomic Clock
Authors: Xu Jian , Lin Ting , Gan Zhi Yin
Published: November 2012

This paper proposed a microwave signal generator which employed a phase lock loop (PLL) chip and several direct digital synthesizer (DDS) chips to make the frequency modulated microwave signal for coherent population trapping (CPT) atomic clock. Based on the communication between a computer and the MCU, it could be completely controlled that frequency, phase, working mode and modulation depth of the output signal by self-developed software. Spectrum and oscilloscope test results showed all the output signals could be suitable for the CPT atomic application.
Contourlet-1.3 Texture Retrieval Algorithm by Sub-Bands Energy and Consistency
Authors: Ge Jing , Chen Xin Wu
Published: November 2012

Contourlet-1.3 transform has fewer artifacts than original contourlet transform proposed by Do in 2002; it can extract image texture information more efficiently and has been studied for image de-noising, enhancement, and retrieval situations. Focus on improving the retrieval rate of contourlet-1.3 transform retrieval system, a new contourlet-1.3 texture retrieval algorithm was proposed in this paper. The feature vector of this system was a combination of sub-band energy and consistency and the similarity measure function used here was Canberra distance. Experimental results on 109 texture images coming from Brodatz album show that using the new features can make a higher retrieval rate than the combination of standard deviation and energy which is most commonly used today under the same retrieval time and system structure.
A Self-Relocation Based Method for Malware Detection
Authors: Zhang Yu , Xia Feng
Published: November 2012

Malware (malicious software) is software designed to disrupt computer operation, gather sensitive information, or gain unauthorized access to a computer system. Most malwares propagate themselves throughout the Internet by self-relocation. Self-relocation is a built-in module in most malwares that gets the base address of the code to correctly infect the other programs. Since most legitimate computer programs do not need the self-relocate module, the detection of malware with self-relocation module can be viewed as a promising approach for malware detection. This paper presents a self-relocation based method for both known and previously unknown malwares. The experiments indicate that the proposed approach has better ability to detect known and unknown malwares than other methods.
The Design and Implementation of a Website Internal Search System Based on Sphinx
Authors: Wang Bei Zhan , Deng Xiang
Published: November 2012

With the amount of information on the Internet growing all the time, finding out useful information in internal retrieval field is becoming difficult. This paper analyzed and compared the website internal search technologies, then according to website system architecture and running mechanism features proposed a website internal search method based on Sphinx, which is an open source full text search frame. The new features of this website internal system include message queue server, caching mechanism, periodic indexing updating and much kinds of query requirements. By deploying in application server and taking software testing, the query accuracy and the time of response are improved. The results are satisfied with the expected.
The Prediction of Energy Consumption in Henan Based on Genetic Neural Network
Authors: Yang Hong Yan , Zang Xi Jie
Published: November 2012

In order to avoid the standard BP network shortcomings, the forecast model of energy consumption in henan was constructed based on genetic neural network. Involving the advantages of GA and BP, the algorithm can simultaneously complete genetic selection within a solution space to find the optimal points. Then the BP algorithm searchs the best optimal result from those points by the direction of negative gradient. Simulation indicates the MAPE in GA-BP is 8.45%, lower than that of 19.44% in standard BP. Finally it predicts the total energy consumptions with the 23350 million tons of coal in 2011, an annual growth rate of 3.8%, which is slightly slower than the average rate in the past decade.
Preliminary Study on CAD of Removable Partial Denture Framework
Authors: Wang Yong , Zhao Yi Jiao , Wu Lin , Lu Pei Jun
Published: November 2012

This study explored a method for CAD of removable partial denture (RPD) framework, which contributes to the development of a specialized software system used in restorative dentistry. Point cloud data of a mandibular partially edentulous cast was captured by an optical scanning system with projective grating and high-resolution digital camera. The 3D model of the cast was rebuilt by a CAD software system from the 3D cloud points. Based on the principle of clinical design, the digital survey line and inserting path were determined automaticly. The tissue surfaces and polishing surfaces of every component of RPD were built also by the CAD software. Furthermore, the characteristic structures of the framework including the lingual bar, the internal and external finish lines, the tissue stop were fabricated on the base of the rebuilt model. 3D surface model of the RPD framework was created at last. In this study, geometric model of the RPD framework was fabricated successfully, which took on good fitting, high visibility and easy to modify, and the data converted to STL format that could be read by any other CAD/CAM software system was in preparation for subsequent computer aided manufacture (CAM) of RPD framework.
Research on Formal Modeling Based on CPN for Movement Authority of High-Speed Railway CTCS-3
Authors: Zhao Shu Xu , Wang Xiao Ming , Zhang Ai Ling
Published: November 2012

Train Movement Authority(MA) concerns train movement safety. This paper proposed a formal model for Chinese Train Control System-3(CTCS-3) based on train MA. Paper analyzed the rounded CTCS-3, formed MA computation models for various application functions, and finished MA hierarchical and functional computation models based on Colored Petri Nets(CPN). The results of experiment demonstrates that the model proposed in this paper is effective, it can reflect the whole information change and transmission process of CTCS-3 accurately, and can help to design and develop MA of CTCS-3.
A Multi-Scale Data Fusion-Based Method for Modular Decomposition
Authors: Liu Yang , Zhao He , Zhang Qiao Xin
Published: November 2012

Facing the module division for the product life cycle, this paper presents a hierarchical module decomposition based on the multi-scale data fusion, use the hypergraph and multi-scale theory to divide modules into classification, and realize hierarchical expression of modules. First use the process model of modular design process established by associated hypergraph, which provide the mapping network basis for user needs, then reference the hypergraph on the formal description of the parts information to establish the parts associated matrix, and achieve primary modules division through calculation of parts relevance. Secondly reference multi-scale data fusion technology to map associated matrix from components to modules layer based on primary module structure, and establish the primary modules associated matrix, then complete the second grade modular division. Finally, the case analysis shows the scientific and practical of the method.
Cooperative Genetic Multi-Objective Optimization Algorithm and Application
Authors: Gao Li , Kong Dan
Published: November 2012

It is very difficult to find out the best solution for some complicated system problems frequently appear. These problems are mostly of multi-objective. The present solution, however, is short of communication. Based on CO, one of MDO method, this paper gives a new simple kind of multi-objective framework, which will be suitable to multi-subject problems. It can not only organize each disciplinary effectively, but gives the inter-influence between disciplinaries by fitness function as well. Meanwhile, the perfect NSGAⅡ is used as be the basic algorithm, prematurity can be avoided and Pareto front with good distribution is obtained. Micro machined accelerometer example validates the correctness of the framework.
Study on Value of Information Synergy in Steel Closed-Loop Supply Chain Based on Response Time
Authors: Fang Li Na , Liu Shu Qi
Published: November 2012

To study significance of information synergy achievement to steel closed-loop supply chain. Using research of supply chain response time for reference, this paper studied value of information synergy in steel closed-loop supply chain. Profit model of information synergy and profit of steel closed-loop supply chain in a two modes closed-loop supply chain that consisted of one steel enterprise and a seller was constructed in this paper. The result shows that within a certain range, as information synergy increases, benefit of steel closed-loop supply chain increases too. The study has an important role in research on information synergy in steel closed-loop supply chain. It also supports research for information synergy.
A New Algorithm for the Boundary Representation of Octree Model
Authors: Wang Jin Min , Luo Lu Feng , Liu Ying
Published: November 2012

According to the space structure of octree and the neighbor of octree node，a new algorithm for calculating the boundary representation of octree model is put forward. The algorithm is started by minimum nodes of octrees and then gradually to increase into the biggest node of octrees, thus avoided the decomposition of some node effectively. For raising the calculation efficiency of algorithm, the integral “bit” is used to record the status of node and carry on judging. Theory analysis and examples validate the rationality and efficiency of the algorithm.
Study on the Method of 3D Geologic Modeling and Visualization
Authors: Liu Shao Hua , Wang Xin Hai , Jun Tang
Published: November 2012

Three-dimensional Geologic body modeling is one of the core problems in geological information system. The current situation of three -dimensional geographic information system (GIS) and method of space modeling were analyzed in geological field, a kind of three-dimensional geological space modeling method-Similar Tri-Prism(STP) was put forwards, STP Combined with the characteristics of Geological body engineering. This method took Similar Tri-Prism body as the basic volume element of three-dimensional geological modeling, and described the data structure of Similar Tri-Prism body by using five basic elements and six groups of topological relationships. It can effectively express all kinds of three -dimensional geological phenomenon, can better combined with traditional multi-layer triangular irregular network (TIN) model, as well as maintain the topological relationship of space entity. An initial prototype has been developed basing on the modeling method in this paper and proved by real drilling data,which is suitable for three -dimensional GIS in geological field.
Three-Dimensional Modeling of Stratified Geologic Body and Application
Authors: Liu Shao Hua , Wang Xin Hai , Jun Tang
Published: November 2012

Visual technology and three-dimension modeling of Geologic bodies have important meaning in the fields of geological research and resource explore. Based on TIN surface, this paper realizes the model reconstructing of stratified geological entity three-dimension, with the aid of three-dimensional graphic library OpenGL, the visualization and any section view of geological three-dimension model can be achieved, which offers powerful support for excavating the information of 3D geological model
A Novel ID-Based Strong Designated Verifier Signature Scheme
Authors: Du Hong Zhen , Huang Mei Juan
Published: November 2012

We construct an efficient and novel identity-based strong designated verifier signature (IBSDVS) scheme based on bilinear pairings, and provide the security proofs and efficiency analysis for the proposed scheme. Our IBSDVS scheme achieves higher efficiency and satisfies all the security requirements of the designated verifier signatures in identity-based cryptography.
Study on Communication Process in Enterprise Network
Authors: Yan Jian Fen
Published: November 2012

Enterprise network refers to the summary of relationships based on common social and cultural background and the basis of mutual trust, connected with information technology, and forged by a group of interconnected enterprise behavior actors and institutions in the process of sharing resources, exchanging resources, and delivering resources in order to respond to market changes quickly. Enterprise network is dynamic and complex, as an independent legal person, pursuing his own benefit is his instinct, the enterprises in enterprise network will inevitably exist opportunism tendency, which will lead to conflict, and will also affect the performance of enterprise network. One of the important means to solve the problems is the establishment of effective resource coordination mechanism. As a basic premise of coordination, communication is cooperative foundation among enterprises in the enterprise network, which is also the basis of promoting the cooperation, and the necessary means to improve the performance of cooperation. Communication promotes information sharing, increases transparency, promotes the establishment of trust and coordination.