bluuebunny/crossref_metadata_2025 huggingface dataset:
Design on Indoor Hardware-in-Loop Simulation System for Terminal Sensitivity Projectile
Authors: Yuan Wei , Zhang Jian Qi
Published: September 2013

Terminal Sensitivity Projectile is served as the research object and the hardware-in loop simulation technology is employed to design the indoor hardware-in loop simulation system for infrared sensor of terminal sensitivity projectile. This system employs the Multi-Gen Creator to build the scene model and the target three-dimensional geometrical model as well as employs the Vega to produce the digital scene of detection field for infrared sensor. Meanwhile, the detection system of terminal sensitivity projectile--- infrared sensor is served as the substance and introduced into the simulation system to participate in the test and consist of the closed loop with other physical models and mathematical models as well as complete the real-time simulation function of terminal sensitivity projectile. The simulation result indicates that the infrared sensor can completely identify the target and is provided with such advantages as low false detection ratio and low omission ratio.
PCB Image Registration Method Based on Mark Hole Feature Extraction
Authors: Gao Na , Wang Yan Wei
Published: September 2013

In the processing of PCB (Printed Circuit Board) defect inspection with reference comparison method, the very critical aspect is to make the image to be inspected and the reference standard PCB image accurate registration . Image registration has many ways, according to the characteristics of PCB, a new image registration method based on Mark hole center feature extraction was presented, also this method is carried out relevant experimental verification.
Design of the Ground Control Point Image Databases
Authors: Li Yan , Zhang Xiao He
Published: September 2013

Ground control point data is necessary in the aerospace images geometric processing. This study proposed the design solutions for the ground control point image databases. At first, this study compared the storage management manners of the control point data. Then, it analyzed the control point image data features. Accordingly, it mentioned the database storage solutions. Next, this study discussed the image control point database query methods. Finally, it designed a ground control point image database management and application system. The experiments show that it is an effective method for the control point image database.
An Improved Motion Image Optical Flow Algorithm
Authors: Xia Hui
Published: September 2013

We proposed an improved motion image optical flow method which can artificially adjust and select the threshold value according to the reality condition and different position of the image .Using traditional method,such as Horn-Schunck’s optical flow estimation algorithm,will possibly lead to the problem of losing edge information or obtaining unsmooth optical flow field, when weight coefficient is too big or too small at the same time. The experimental results show that the motion image and its edge are more clear and the value of PSNR and RMSE have been all improved by using the improved algorithm, moreover the improved algorithm will not increase more computation complexity.
High Accuracy Attitude Estimation for Spacecraft Using Quaternion Star Sensors and Gyros
Authors: Wang Zhi Gang , Deng Yi Fan
Published: September 2013

The problem of spacecraft attitude estimation utilizing star sensors and gyros is considered in this paper. Since the errors of the quaternion outputs of star sensors projected on the direction along the optical axis is higher than the other two directions, a novel method to increase the estimation accuracy of the attitude filter is presented, by producing observation vectors along the direction of the light axes, which are composed of a couple of quaternion outputs from different star sensors. The proposed algorithm is validated and proved more precise by numerical simulations.
Digit Recognition Based on Distance Metric by Gabor Transformation
Authors: Li Shi Dong , Ai Qing , Liu Song , Zhou Hua
Published: September 2013

Distance metric is important for image transform, it reflects the similarity of manifold between pre and post transformation. Tangent distance method is usually used to approximate nonlinear manifolds by its tangent hyperplane in digit recognition; however, it sometimes neglects the high-order statistic information of the image. A new image distance metric is proposed in this paper which is based on Gabor transformation to obtain the Gabor feature vector, then the feature manifold can be approximated by curve surfaces based on second-order Taylor expansion with respect to intrinsic variables, and the distance metric by Gabor transformation is defined as the minimum distance between the approximated curved surfaces in feature observation space. Experiments show that the distance metric based on Gabor transformation and manifold works well on digit recognition, it excelled tangent distance method.
Curve Extraction by Tensor Voting
Authors: Shao Xiao Fang , Wang Shou Quan , Wang Zhe
Published: September 2013

In this paper we propose a method to search curves in pre-processed images based on tensor voting. Given an image that has been binarized and thinned to single-pixel representations, the method performs a five-neighbor searching process which takes into account the turning angle of the pixels on a certain curve. At last the method is tested on several real images.
An Improved Image Fusion Algorithm Based on IHS and Wavelet Transform
Authors: Ming Liu , Li Shu Hui
Published: September 2013

A new improved image fusion algorithm is proposed for multi-spectral image (MUL) and the high-resolution panchromatic image (PAN) based on intensity-hue-saturation (IHS) transform combined with wavelet transformation (WT). Firstly, the multi-spectral image is transformed into the IHS space for getting the intensity component (I).Then the high-resolution panchromatic image and I were matched with histogram. Secondly, the PAN and I were decomposed respectively by WT and fused to obtain the new I by the inverse WT. Finally, the fusion image was obtained by inverse IHS transform. four evaluate indicators are defined in this paper. By experiment research, the results show that this new method can effectively improve the fusion effect.
Foreign Object Debris Detection on the Runway Based on Wavelet Method
Authors: Guo Xiao Jing , Yang Xue You , Yu Zhi Jing
Published: September 2013

Depending on image processing system, a major sub-system in foreign object debris (FOD) detecting system on the runway, FOD image will be observed efficiently and rapidly with few economy costs and highly accuracy and reliability so as to ensure the passengers safety. The thesis analyses the characteristics and principles of wavelet transformation and applies the theory in image processing under poor visual background for identifying the FODs shape and mark characteristic point on the runway by programming in MATLAB. Besides that, it brings about profound significance for realizing the real-time detecting on the FOD and testing the feasibility and efficiency.
Structural Design and Experimental Study of a New Vacuum Vulcanizing Machine
Authors: Liu Cai Jun , Wang Xu Juan , Wei Xu
Published: September 2013

This paper introduces a new type vacuum vulcanizing machine structure characteristics, the machine can realize the automatic mold, mold release, flip, ejector, has a high degree of automation, high precision products, high production efficiency; and to study the model of vacuumizing plate vulcanizing machine and physical and mechanical properties of ordinary vulcanization machine the influence of the vulcanizate by experiment.
Optimized PCA Based Face Recognition for Mobile Devices
Authors: Zou Dai Kun , Hu Wei , Xia Hong Wei , Li Wen Fei , Yao Zhuo Min , Guo Hong
Published: September 2013

With the rapid development of embedded technology, mobile devices have been widely used than before. Face recognition has also been taken as a key application with PCA as the basic algorithm. Though PCA can provide basic information processing, it still has some problems to be used for mobile devices. The movement of the faces increases the difficulty of the recognition and the limited resources of mobile devices propose more constraints to traditional PCA algorithm. A novel approach is presented to optimize PCA based face recognition for better performance and faster recognition speed. The experiments show that the new approach can achieve its target though the optimization.
Effect of POSS on the Compatibility and Mechanical Properties of PC/PLA Blends
Authors: Chen Yi , Peng Yue , Liu Wen Yong , Zeng Guang Sheng , Li Xiang Gang , Wang Wu
Published: September 2013

Polycarbonate/poly (lactic acid)/(PC/PLA) blends were modified by two kinds of POSS, glycidyl POSS (G-POSS) and Octa-ammonium POSS (O-POSS), respectively. The morphologies and mechanical properties of blends were investigated systematically. The results showed that the adding of O-POSS has a better effect on the compatibility of blend than adding G-POSS, the separate phase is invisible in the morphology of blends, and the mechanical properties of blends are improved significantly with the increase of added O-POSS.
Study on Fast Algorithm for SNR and Method for Threshold Confirmation
Authors: Sun Lin , Wei Ran , Bao Fu Ting , Tian Xian Zhang
Published: September 2013

To reduce the amount of computing resources, a fast algorithm of the average power spectrum and signal-to-noise ratio was presented based on rigorous derivation of the formula. Also, it proved the rule gained from computational experiments. Besides, a method called fitting-optimization to determine the classification threshold value was proposed. It improves the accuracy by about 7% for human gene.
Comparative Study of Speckle Noise Reduction Approaches for Interferometric Synthetic Aperture Radar Images
Authors: Chen Yi Fei , Xu Hua Ping
Published: September 2013

Speckle noise appearing in the interferometric SAR (InSAR) phase image degrades the quality of interferogram seriously and makes interferogram reflect the scattering characteristics of the target inaccurately, reducing the capability of extracting DEM information of target areas. Therefore, speckle noise reduction plays a major role in InSAR processing by using interferogram filtering. First, according to a terrain model with the assumed geometrical parameters in InSAR system, the paper simulated an interferometric SAR phase image with noise, which can be characterized by the multilook phase distribution based on the circular Gaussian assumption [1]. Second, the paper explores three interferogram filtering algorithm to remove speckle noise: Goldstain filter, Rotating Kernel Transformation and Lee filter; the proper implementation of three methods is given. Last, the paper discusses about the performance comparatively based on experimental results and gives broad conclusions and presents recommendations.
Valve Opening of the Injector Controlled by Giant Magnetostrictive Actuator with Posterior Returning Spring
Authors: He Zhong Bo , Xue Guang Ming , Li Dong Wei
Published: September 2013

A newly designed injector is presented high pressure common rail system. The whole injector system was seen as a single degree of freedom linear system and the dynamic equation of the system was established. And the equation was solved for the expression of throttle valve opening without bounce between needle valve and valve body. The analysis on the impact of the bounce to the valve opening effect is gained through initial velocity, and a large bounce with small damping will get stronger which cannot curb anymore.
Dense 3D Reconstruction Based on Photometric Stereo with Unknown Light Source via Energy Minimization Framework
Authors: Yu Yong Yan
Published: September 2013

In this paper,an novel method would be suggested to achieve an dense 3D reconstruction of objects using photometric stereo without any prior knowledge of light source. Using the photometric images I which is constructed with its columns equal to number of photometric images captured and rows equal to number of pixels in a photometric image. A per pixel initial surface normal estimate is computed based upon SVD of the image matrix I. A effective regularization technique has been applied on the initial normal estimate within the energy minimization framework which via graph cuts to regularize them and preserve the underlying discontinuities better.Finally, the regularized surface normals are integrated to recover the surface of the object. The algorithm has been tested on synthetic as well as real datasets and very encouraging results have been obtained.
A New Image Cipher Algorithm Based on Chaos
Authors: Zhang Yun Peng , Wang Shuai , Xu Peng , Cao Liang , Wang Yi
Published: September 2013

Cryptography is the field of information security technology research priorities. This paper proposes a chaos-based magic square image cipher algorithm. Firstly, it used magic square algorithm to transform the original image pre-processing, the process is the basis of the original magic square algorithm to improve the ranks of transform. Finally, using logistic, henon mappings generated by scrambling the array with the image, so that the image gray value and the location changed at the same time, encrypted final image. Through experimental validation, we prove that the algorithm has cipher effectiveness, and can effectively resist common attacks.
Identification of Soil Stabilizer Noise Source with Partial Coherence Analysis
Authors: Geng Yan Bo , Gao Lei Lei , Zhang Zhan Wen , Wei Zhe Lei
Published: September 2013

Since soil stabilizer consists of many operating components, it has lots of noise sources, and the major noise sources are relevant. So, it is appropriate to identify the noise source of the soil stabilizer using the partial coherence analysis. In this paper, a multi-input and single-output noise source identification model is firstly established, and then an algorithm is developed for the calculation of the partial coherence function. Finally, an experiment is carried out with an actual soil stabilizer. In the experiment the main noise sources are accurately identified. This work provides some guidance for further study of vibration and noise reduction of the soil stabilizer.
Automatic Detection of Crucial Areas Based on Speed Correlation in Video Sequences
Authors: Liu Shuang Jun , Cui Rong Yi
Published: September 2013

Based on video frame differential optical flow field, a method of crucial area detection for surveillance video images of examination room is proposed in this paper. Firstly, the optical flow field was calculated with the difference between two adjacent frames. Secondly, the scene was divided roughly into several blocks, and the blocks of which centroid speed is higher than given threshold were further divided into fine sub-blocks, and furthermore, the sub-block which has maximum centroid speed in the block was marked as the area of abnormal target. Finally, the sub-blocks with exceptional speed in the same observation time slice were judged to be the correlate areas with abnormal speed (CAAS), and the intersection of adjacent CAAS were determined as the crucial area. Experimental results show that the proposed method can effectively detect the abnormal movement area, and can accurately position the crucial area affecting other targets movement.
Research on Improved Code Phase Acquisition Algorithm for BOC(pn,n) Signal
Authors: Zhu Yin Bing , Cao Ke Jing , Li Bao
Published: September 2013

Auto correlation function of BOC signal has the character of milti-values, so acquistion of BOC signal can not simply transplant the algorithm of GPS signal. For this reason, parallel code phase search algorithm and cross correlation characteristics of BOC signal are analyzed. And then, the validity of parallel code phase search algorithm on BOC signal are simulated. After that, point to the insufficiency of parallel code phase search algorithm on the acquisiton of BOC signal at low SNR(signal to noise ratio), an improved acquisition algorithm is presented and used to analyze BOC signal. The results show that the improved algorithm is applicable to BOC(pn, n) signal where p is an integer, which expands the application aera of parallel code phase search algorithm; and that the improved algorithm can improve SNR of acquisition about 15dB compared with that of parallel code phase search algorithm, that is to say, the improved algorithm can enhance acquisiton sensitivity of receivers obviously, which is very important to the design of acquisiton algorithm in receivers.
A Novel Image Fusion Approach for Underwater Blurred Images
Authors: Sheng Ming Wei , Pang Yong Jie , Huang Hai , Zhang Tie Dong
Published: September 2013

The main purpose of underwater image fusion is to combine multi-images about the same object into a high-quality image with abundant information. A new underwater image fusion scheme based on Biorthogonal wavelet transform was presented, which is suitable to underwater computer vision system of AUV. Firstly, median filter algorithm was involved for improving the quality and contrast of two source underwater blurred images. Secondly, the different-position-focused underwater images were decomposed by Biorthogonal wavelet and the wavelet coefficients were acquired for reconstructing the fusion image. Finally, the fused image was constructed using the low-frequency and high-frequency domain fusion rules. By adopting a series of experiments for the underwater images fusion, an integrated underwater image with visible outline and distinguishable inner details was obtained.
Dynamic Range Extend on Finger Vein Image Based on Infrared Multi-Light-Intensity Vascular Imaging
Authors: Chen Liu Kui , Li Zuo Jin , Wu Ying , Xiang Yi
Published: September 2013

This paper proposes an extending dynamic range method for infrared finger vein image acquisition by multi-light-intensity imaging. The captured images contain high dynamic range by different light intensity irradiating. The fast switch of light-intensity is synchronous with the camera imaging and the current image illumination analysis, these ensure the light intensity is automatic regulated and the captured images are in pixel-level registration. The experiment shows the proposed acquisition method is effective and the captured multi-light-intensity finger vein images are convenient for image fusion and subsequent processing.
Local Statistic Enhancement of Digital Image Based on Genetic Algorithm
Authors: Wu Yong Zhuo , Tu Zhen , Liu Lei
Published: September 2013

Iamge repair using the digital image processing technology has become a new research point in computer application. A novel method of local statistic enhancement based on genetic algorithm is proposed in this paper for the image enhancement. The modified amplified function are used as the jugement criterion, and the optimal paremeters are searched by the genetic algorithm. Experimental results show that the quality of images is improved dramatically by using this method.
Effects of High Frequency Vibration on the Surface Quality in Rotary Ultrasonic Machining of Glass BK7
Authors: Lv Dong Xi , Tang Yong Jian , Huang Yan Hua , Wang Hong Xiang
Published: September 2013

Both rotary ultrasonic machining (RUM) and conventional grinding (CG) experiments were performed on the glass BK7 specimen to investigate the effects of high frequency vibration on the surface quality. The surface morphologies produced in the two machining processes were assessed and the associated material removal mechanisms were explored. Also, the influence of the spindle speed on the surface roughness was discussed. It was found that the mechanisms of the material removal involved in the RUM process were material pulverization and brittle fracture, while ductile flow and brittle fracture prevailed on the material removal in CG process. The increased spindle speed would reduce the lateral cutting depth of each abrasive, and promote the shielding effects of the lateral cracks generated by the previous abrasive, leading to the reduction of the surface roughness in both RUM and CG processes.
The Algorithm of Sense Disambiguation Based on Bayesian Model
Authors: Zhang Chun Xiang , Gao Xue Yao , Lu Zhi Mao
Published: September 2013

Sense disambiguation is an important problem in pattern recognition. In this paper, a new algorithm of sense disambiguation is proposed, in which part-of-speech tags of the left word and the right word around the ambiguous word are extracted as discriminative features. At the same time, the bayesian model is selected as the sense disambiguation classifier and it is built based on discriminative features. The architecture of sense classification is given. The new algorithm is trained on sense-annotated corpus. Then it is used to determine its sense category. Experimental results show that the accuracy rate of disambiguation arrives at 60%.
The Application of Foundation Underpinning Technology of Steel Box Girder Shield in the Integrally Lifting of Yuzhen Palace
Authors: Bian Zhi Hui , Fu Shi Feng , Wang Tie Cheng , Li Xu Guang
Published: September 2013

The technology of steel box girder shield and PLC synchronous pushing are used in the foundationl underpinning during the Yuzhen palace integrally lifting of Wudang Mountain for the first time. The characteristic of steel box girder is light weight, large internal operating space, high strength, and low friction coefficient with soil. The foundation underpinning of building is done by the steel box girder with PLC synchronous pushing system. The building is located on the integrity of good rigid chassis. The paper provides design principle of key component, design of PLC synchronous pushing system and related calculation method, and provides a new technology for protection building.
Study the Coefficient of Energy Transfer from Hammer to Pile Driven in Two Layers Foundation Base, Pile Bearing Side Friction q1#q2 Pile Bottom Encounters Constant Resistance
Authors: Cong T.C.
Published: September 2013

This paper consider the collision of hammer to pile driven into two layers foundation base, piles bearing side friction q1 ≠ q2, applies the theoretical basis of longitudinal collision of elastic bars and method of wave propaganda DAlember, determine the velocity of pile heads in the time interval, compress work of elastic buffering on pile head, from the calculation of coefficient of energy transfer from hammer to pile, choosing pile head buffering and hammer heads according to the coefficient of energy transfer calculated.
Design of IIR Digital Filter Based on FPGA
Authors: Zhang Hui , Yang Kun , He Si Ming , Li Jun
Published: September 2013

From the request of practical applications,according to the basic theory of IIR filters, a scheme of hardware implementation is worked out combining with the fact that coefficients of numerator and denominator of transfer function are fixed and the structural feature of selected FPGA. From the clew of implementing stratified ,modularized and parameterized design ,the thesis describes the hardware implementation of the IIR filter with VHDL and schematic diagram design method.
Research on Data Aggregation Algorithms Based on OPT in Wireless Sensor Networks
Authors: He Xue Wen , Zheng Le Ping , Fan Kuan Gang , Han Sun , Cao Qing Mei
Published: September 2013

Since wireless sensor networks consist of sensors with limited battery energy, a major design goal is to maximize the lifetime of sensor network. To improve measurement accuracy and prolong network lifetime, reducing data traffic is needed. In the clustering-based wireless sensor networks, a novel data aggregation algorithm based on OPT and Layida Method is proposed. In the proposed method, Layida Method preprocesses data and data fusion model for data integration are used. Its availability is proved by comparing with the results of two existing algorithms.
A Sonic Distance Measurement Approach Using Linear Frequency Modulated Signal
Authors: Lan Ting , Xie Jian Jun , Wu Yang Bo
Published: September 2013

This paper deals with the development of an alternative approach for sonic distance measurement. A linear frequency modulated signal (chirp signal) is regarded as a template signal. The sonic distance measurement system transmits the template signal and receives the echo signal, then calculate the correlation between template and echo signal. The time of flight is determined according to the position of the peak in the correlation result, then the distance is calculated. The major advantage of this approach is that it can detect weak echo signals among noises and increase measurement range significantly.
Design and Implementation of Mathematical Simulation System in GNSS Signal Simulator
Authors: Zhang Peng Fei , Xu Cheng Dong , Hu Chun Sheng , Song Dan
Published: September 2013

Global Navigation Satellite System (GNSS) signal simulator is one of the most important instruments for testing the function and performance of GNSS terminal products. It consists of a Mathematical Simulation System (MSS) and a Radio Frequency Signal Generator (RFSG). The MSS is responsible for generating the navigation message and observation data and then sending them to the RFSG in real time. The simulation accuracy of each part in the MSS determines that of the signal generated by the RFSG. In this paper, the function requirements of each module in MSS are analyzed firstly. Then the general framework of MSS is presented. At last, MSS developed in this paper is demonstrated and tested partly, the test results are compared with that of SimGEN software and STK. Taken as a whole, the MSS has complete functions and good performance. The MSS will hopefully apply to GNSS signal simulator.
Detection System on Weak Electrical Signal in Plants
Authors: Wu Hai , Tian Li Guo , Hu Shan , Chen Zhi Liang , Li Meng
Published: September 2013

To achieve the accurate extraction and characteristics analysis of electrical signal in plants, the system was developed for detecting and extracting weak electrical signal in plants. As experimental platform for the extraction and detection of plants electric signal, training experiment system on the growth of plants, had done the experiments of extraction and feature analysis on plants electric signal by it, described in detail the extraction and analysis process of plants electrical signal, and also discussed the methods of anti-interference process for the system. The system construction is feasible, it has positive significance for real-time monitoring the environment factors changes and the plants growth status.
Study of Vibration Energy of the Pile Driven in Two Layers Foundation Base, Pile Bearing Side Friction q1#q2 Pile Bottom Encounters Constant Resistance
Authors: Cong T.C.
Published: September 2013

Basing on the theory shock longitudinal of solid body into elastic bar, authors define speed of the piles weighting canter in shocking time, they also define kinetic energy of weighting canter and define vibration energy of the pile driven in two layers foundation base, pile bearing side friction q1#q2pile bottom encounters constant resistance.
Functional Analysis of Snowman CAT Standard Edition Translation Software Based on the Normal Distribution and Similarity Model
Authors: Zhou Xing Hua
Published: September 2013

The snowman CAT is a kind of domestic computer aided translation software, compared with other mainstream snowman CAT software, such as SDL Trados, Deja Vu, Wordfast, memoQ, and YaXin snowman CAT, the learning curve about snowman CAT is not steep, but function has not a halfpenny the worse, in addition to the software its humanized design and easy-to-use properties that make it became the first introduction to snowman CAT teaching software. This paper attempts to functional analysis on snowman CAT 1.29 Chinese-English standard edition in systemic, so as to provide reference to classroom teaching of the computer aided translation.
Orientation Coding by Population of Neurons in Rats' Primary Visual Cortex
Authors: Shi Li , Ye Qi Ming , Niu Xiao Ke
Published: September 2013

Research on Primate visual cortex (V1 area) neurons orientation coding mechanism is the base of revealing the whole visual cortex information processing mechanism. Firstly, this paper adopted different orientation grating to stimulate visually on rats. Meanwhile, gather response signals of population neurons from V1 area using multi-electrode arrays. Then, screen effective response channels according to the orientation selection of different neurons in different channels. Besides, extract Spike average fire rate and LFPγ band power feature in every effective channel signals within specific stimulus response time to construct population response joint features. Finally, taking Lasso regression model as coding model, use joint features to differentiate grating orientation, in order to research on V1 areas population neurons orientation coding. The consequences indicate that the results of population response joint features coding for six different orientation are superior to the results of any single feature of population response coding, and remarkably better than the results of single channel response feature coding.
Study on the Methods of Information Extraction Based on Database Technology
Authors: Li Guo Dong , Ceng Feng
Published: September 2013

Database technology as the data management technology, has become the main mean in the extraction methods of computer information management. This paper is focus on the information extraction and puts forward an inaccurate method of statistical model structure of planning database to carry on the information extraction method. For information database technology, it can record text address and cited as an example to have information extraction method. And it establishes a conditional probability distribution of the automatic extraction model of information and data, and gives input sequence, establishes the target demand curve, at last has best segmentation of the data information, to seek out information extraction path and the algorithm formula.
The Application Analysis and Network Design of Wireless VPN for Power Grid
Authors: Wang Yi Rong , Tong Da Li , Deng Wei
Published: September 2013

With the rapid development of smart grid construction, communication mode size in smart grid business relying on operators 2G/3G wireless network continues to increase. In this paper, first, with a deep study of application, communication requirement and network status in power wireless business, the security risk and defects cannot control in the existing power wireless business are noted. Secondly, wireless VPN target of power grid is innovatively put forward, to achieve the safe and efficient power wireless business hosting, intensive operation and scale development. Once again, the design of wireless VPN for power grid, security access platform, operating platform are made a further analysis and elaboration.
An Integrated Security Framework for SOA
Authors: Liu Ling Xia , Wang Dong Xia , Huang Min Huan , Zhang Rui
Published: September 2013

In today's Web environment, Service Oriented Architecture (SOA) becomes an efficient paradigm to integrate distributed applications. Due to loosely coupled nature of SOA, security is one of the most important issues that must be considered in SOA-based environments. Most of the existing security solutions are proposed only from one certain point of view, and they are difficult to integrate together. In this paper, an integrated framework for SOA are proposed to provides an overall security solution, which contains a three-dimensional security model, a security architecture and related security standards.
The Simulation Platform of Logical Ring in CAN Network Management
Authors: Chen Yun Han , Qin Gui He , Nan Yang
Published: September 2013

In order to guarantee the communication of logical ring designed properly during the development of Controller Area Network (CAN) Network Management (NM) system complied with OSEK/VDX direct NM specification, it is necessary to investigate its performance in various work conditions. However, this usually costs much time and work consumption to reproduce specific work conditions in a distributed CAN network. By the simulation platform of logical ring developed with Network Simulator 2 (NS2), this paper provided an efficient test tool, which much reduced the consumption of specific work condition reproduction.
Genetic Algorithm Applied in the Social Network Data Analysis
Authors: Liu Lei , Gao Quan Bao
Published: September 2013

The rapid development of network and information technology makes the network become the indispensable part in people's life. Network design uses email as a starting point, instead of actual letters. Then Happy Nets, BBS etc. are evolved from it, with virtual as their major feature. In the process of social networks evolution, the personal image transformed from the actual into the virtual one. All this has contributed to the birth of the social network, which then makes the contacts among people presenting the feature of network expansion and cost reduction. The popular social network nowadays is considered to be social plus network, namely, through the network, as a carrier, people are connected to form a virtual community with certain characteristics. Based on the genetic algorithm and genetic coding technology, the article is designed to make the optimal data analysis and create a optimistic cyber environment in the process of the social networks explosive development.
Study on Finite Element Model of Bolt Strength in Blade Root
Authors: Dong Zheng Yan , Zhang Han Long
Published: September 2013

This study has established a 1/184 model of blade root by using finite element software (ANSYS), and analyzed the stress pipeline and errors of this blade root model. By transforming the loads in blade root and imposing axial step load, especially by analyzing models boundary conditions and the structure of contact surface, the axial stress, bending stress and the other parameters have been acquired.
Fallback Based k-Hop Backtracking Trustworthy Rerouting Mechanism
Authors: Yang Lei , Wang Xing Wei , Huang Min
Published: September 2013

When some links or nodes on the path break down, a rerouting path should be found in trustworthy network. In this paper, a fallback based k-hop backtracking trustworthy QoS (Quality of Service) rerouting mechanism is proposed. First,the network model and user trust evaluation model are constructed. Then the description of users requirements, the calculation methods of users satisfaction and the criterion of path judgments are presented. Considering users QoS requirements, trustworthy requirements and decrease of the algorithm cost, fallback is used for backtracking rerouting at the previous node of the failure node (or link) in the proposed mechanism. It reuses original links of the path as much as possible to reduce the time of rerouting. The simulation results show that the proposed mechanism is both feasible and effective. In contrast to existing mechanisms, both the rerouting success rate and user satisfaction degree are increased and the rerouting time is reduced under uses requirements.
Several Important Factors to Impact Development of Software Development Method
Authors: Gao Yu , Bi Zhen Bo
Published: September 2013

Look forward to the future, the development of software development method is inevitable. What are important factors to impact the development of software development method? After analysis, several important factors have been proposed, and they impact the development of software development methods. These important factors related to the content of the various existing software development methods. Based on profound and comprehensive analysis to variety existing software development method, these important factors have been proposed. In the future, if software developers want to improve and perfect the existing software development methods, or want to build a new software development method, then these important factors are some important issues which must be studied. The content of these important factors were discussed.
Java Application Development Based on Requirement-Driven
Authors: Chen Guan Lin , Yao Hui , Weng Wen Yong
Published: September 2013

In order to improve Java developing skills, a new framework of Java development in computer science specialty is proposed in this paper. It emphasizes on constructing the specialty orientation of Java application development based on requirement-driven, designing the application-oriented curriculum system, and implementing the multi-dimensional practical methods. Practice shows that the framework is efficient and helpful to enhance the students programming skills and strengthen their employment ability.
The Study on Network Resources Optimization Design
Authors: Hu Xiao Qing , Liu Xue Peng
Published: September 2013

The system structure of the website keyword search engine is designed with data flow as the main line. The design includes four subsystems: search subsystem, analysis subsystem, index subsystem and query subsystems. The key algorithms are introduced.
Study and Development on Report Automatic Creating System for Engine Performance Test-Bed Based on VBA
Authors: Dong Guo Liang , Liu Fu Jia , Xu Shu Quan
Published: September 2013

Test reports given by test institution are mostly stylized text. Editing such text is a hard and odd work. A method is introduced to implement report automatically creating based on VBA and Words template technology, such as bookmark, ChartObject etc. The method used in our engine performance test-bed laboratory works well and reduces report editing time form half a day to half an hour.
Research on Behavior Trust Evaluation Method of Cloud Services Based on Membership Theory
Authors: Liu Ying , Wang Yan , Sun Xian You
Published: September 2013

Among the wide range of cloud service providers with different performance characteristics, in order to let the cloud users find cloud services which satisfy its performance preferences and specific trust levels,it needs to establish a reasonable and scientific cloud service trust evaluation system. This paper introduces a membership degree theory into trust evaluation model. First, it designs the trust evaluation system framework of cloud services, and establishes a trust evaluation model of cloud services. Next, it calculates the trust level of cloud services with the comprehensive trust cloud center of gravity evaluation method (CCGE). Finally, the experiment results show that this model can build precise trust relationship between cloud users and cloud services based on users performance demands.
MACOA: A Modified Ant Colony Optimization Algorithm for the CWFRD Problem
Authors: Wang Yong , Dou Qiang , Peng Wei , Gong Zheng Hu
Published: September 2013

In the traditional scheduling scheme of the message ferry in wireless sensor networks, the route of a ferry is usually designed as a simple cycle. Closed Walk Ferry Route Design (CWFRD) aims to design the ferry route as a closed walk which contains more than one simple cycle to minimize the average weighted delay of the sensed data to the sink. In this paper, an Modified Ant Colony Optimization Algorithm (MACOA) is proposed to solve the CWFRD problem. The experimental results show that MACOA can greatly reduce the average weighted delay, comparing the previous proposed algorithms.
Multiple Watermarking Based on the Principle of Orthogonality
Authors: Su Jiao Rao , Xiao Jun , Leng Xiao Xu
Published: September 2013

The idea of orthogonal space is introduced into multiple watermarking, and a new type of multiple watermarking method based on the principle of orthogonality is summarized. Two different subclasses are introduced, while in one subclass, the watermarks are made to be orthogonal to each other before embedded, and in the other subclass, the watermarks are embedded into the cover vectors which are orthogonal to each other and extracted from the original cover. The performances of the two subclasses are compared and analyzed, and the analytic results show that the multiple watermarking method based on the principle of orthogonality has very good performances, such as the capacity of singular watermark and the number of watermarks that can be embedded, and what's more, it can avoid the interference of one watermark signal with another.
A New Computer-Aided Topology Optimization Platform for Solving Various Engineering Problems
Authors: Zhang Jie , Li Bo Hua , Sun Na , Hu San Bao
Published: September 2013

This paper presents a new sophisticated platform for solving the topology optimization problems of various fields including structural, heat, other alternative physics and even coupled multiphysics. Although several up-to-date commercial packages have been launched for solving topology optimization, all of them are limited to solving structural problems with specific constraints and objectives, such as volume, compliance, stress, eigen-frequencies and limited a few kinds of manufacturing constraints. This paper pays much attention to extend the power of the commercial software to solve the multiphysics and multidisciplinary problems. For comparisons, the classical structural designs with different constraints are also discussed in this paper. Numerical examples both in 2D and 3D are provided to illustrate the new software.
Pipes Information Recognition and 3D Model Reconstruction Based on DWGDirect
Authors: Li Hong Yi , Wen Xi , Zhao Di
Published: September 2013

This paper mainly discusses the 3D reconstruction of pipelines from 2D DWG format files, which are widely used in architectural design, municipal planning and so on. To address this nontrivial problem, a novel method is proposed, which consists of two steps. In the first step, the entity information is extracted from DWG format files based on the DWGDirect technology. Subsequently, a 3D modeling procedure is followed by using OpenSceneGraph and the extracted entity information. Several experimental instances are given to demonstrate the validity of the proposed method.
Optimization Project on Collecting and Integrating Video Resources
Authors: Feng Wei Chang
Published: September 2013

E-Box multimedia system is developed for the rich audio and video resource on the Internet and on its server side, it can automatically search and integration of network video and audio resources, and send to the client side for the user in real-time broadcast TV viewing, full use of remote control operation, Simply its a very easy to use multimedia system. This article introduces its infrastructure, main technical ideas and you can also see some details about server side and client side. At the same time, the improvement on how to collect and integrate video resources is comprehensively elaborated.
Privacy Preserving Techniques in the Internet of Things
Authors: Wang Ping Shui
Published: September 2013

The Internet of Things is a novel paradigm in the scenario of modern wireless telecommunications. It has high impact on several aspects of everyday-life and behavior of potential users. However, it raises serious concerns over individual privacy in the new environment of smart things. In this paper, we provide for an overview on privacy preserving techniques in the Internet of Things and discuss the present problems and directions for future research.
Study of Cyberspace Factors and Description Methods
Authors: Chen Juan , Ma Tao , Wei Pei Jie
Published: September 2013

In the article the constitution of cyberspace is analyzed from three layers which are physical layer, logical layer and social layer. And representation methods of each layer are given. On the basis, the description methods of Cyberspace actions are analyzed. So the meaning and nature of cyberspace could be understood deeply according analyzing.
A Unified Microblog Web Page Structured Information Extraction Method Based on Hierarchical Clustering
Authors: Zhao Tian Yu , Liu Jian Yi , Zhang Ru
Published: September 2013

Rich information is contributed to microblogs by millions of users all around the world. However, few work has been done on the study of microblog web page extraction so far. We proposed a unified structured information extraction method based on hierarchical clustering which is suitable for microblog web pages of any microblog websites. The experiment result on microblog web pages of some popular microblog service providers indicates the high performance of our method.
An Improved Precoding Algorithm for LTE-Advanced CoMP System
Authors: Wang Qiong , Zhang Zhao Xia , Liu Jia
Published: September 2013

In LTE-Advanced (LTE-A) system, coordinated multi-point (CoMP) technology can reduce inter-cell interference effectively, and improve the communication quality of the cell edge users. The main purpose of this paper is to optimize the precoding algorithm and enhance the overall cell throughput in LTE-A CoMP downlink. Based on CoMP-JP, we focus on zero-forcing (ZF), block diagonalization (BD) and signal-to-leakage-plus-noise-ratio (SLNR). We propose an improved precoding algorithm (ZF-SLNR) which combines the advantages of ZF and SLNR . Simulation results suggest that ZF-SLNR algorithm provides appreciable performance improvement.
Weight Selection and PSO Based Three-Dimensional Localization for Wireless Sensor Networks
Authors: Lv Jia Liang , Wang Ying Long , Cui Huan Qing , Wei Nuo
Published: September 2013

Localization is one of the key technologies of wireless sensor networks, and the problem of localization is always formulated as an optimization problem. Particle swarm optimization (PSO) is easy to implement and requires moderate computing resources, which is feasible for localization of sensor networks. To improve the efficiency and precision of PSO-based localization methods, this paper proposes a novel three-dimensional PSO method based on weight selection (WSPSO). Simulation results show that the proposed method outperforms standard PSO and existing localization algorithms.
Hexagonal Distributed Cluster-Base Routing Protocol Based on Event Triggering
Authors: Luo Ming Yu , Chen Meng Yang
Published: September 2013

For random distribution of large-scale wireless sensor network (WSN), the hexagonal distributed cluster-based multi-hop routing protocol based on event triggering (HDCMET) is proposed. Triggered by events, nodes optimize a cluster head, according to the rest energy. A cluster head chooses other nodes for a hexagon, with distance to the cluster, energy and so on. Simulation results show that this protocol prolongs the network life in total, improving the network performance in large-scale WSN, compared with the low energy adaptive cluster hierarchy (LEACH).
Implementation of Chart Automatically Drawing in Excel Based on VBA
Authors: Dong Guo Liang , Xu Shu Quan , Liu Fu Jia
Published: September 2013

Drawing charts are odd work by adding a data source manually and setting other parameters such as border, legend etc in Excel. The key technologies and implementation methods of chart-automatic-drawing are described using embedded VBA Programming codes.
An Improved Social Cognitive Optimization Algorithm
Authors: Sun Jia Ze , Geng Guo Hua , Chen Hao , Zhou Ming Quan
Published: September 2013

To improve the global convergence speed of classical social cognitive optimization (SCO) algorithm, a novel hybrid social cognitive optimization algorithm based on quantum behavior (QSCO) is proposed. In the proposed algorithm, learning agents learn in a quantum multi-dimensional space and establish a quantum delta potential well model. A quantum search process is incorporated into local searching operation so as to enhance the local searching efficiency in the neighboring areas of the feasible solutions. Simulation results on a set of benchmark problems show that the proposed algorithm has high optimization efficiency and good global performance.