bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Ramp Estimation Algorithms in Automatic Transmission
Authors: Tian Yuan Suo , Ding Zhi Zhong , Wang Qiong , Sun Bao Qun
Published: January 2012

Automatic transmission may produce busy shifting on uphill and downhill. This article analyzes three algorithms about the estimation of road ramp: the first using a longitudinal acceleration, the second using estimated output torque, and the third using the difference between two accelerations. The first method is more accurate than the other two, but it is more expensive because an additional acceleration sensor is needed. The second is more complicated and in some driving conditions, it could not estimate the output torque. The third is based on simple theory and inexpensive since no additional sensor is needed. Some simulation results of avoiding unnecessary gear-shifting are also presented in the paper.
Power Systems Analysis Toolbox: Planning and Contingency
Authors: Khaldi Mohamad R.
Published: January 2012

Outages and planning primarily account for the removal and addition of new buses, generating power plants, transmission lines, loads, and control devices, respectively. They occur regularly in power systems operation and restoration, and hence a power system is constantly changing its topology. Therefore, there is a need for a software package to emulate these changes. Power System Analysis Toolbox (PSAT) is designed and developed in Matlab environment to simulate contingencies and expansion of power systems. The IEEE 14-bus power system is used to illustrate the effectiveness of the proposed work.
Mathematical Programming Based Short Term Load Forecasting Algorithm, Case Study: Turkey 2010
Authors: Çetinkaya Nurettin
Published: January 2012

Short-term load forecasting (STLF) is an important problem in the operation of electrical power generation and transmission. In this paper, STLF algorithm was developed for electrical power systems using mathematical programming with Matlab. A fast and efficient computational algorithm has been obtained for STLF. The mean absolute percentage errors (MAPE) of daily loads forecast and weekly loads forecast for Turkey are found as 1,76%, 1,92%, respectively.
MIMO Radar Detection Performance Analysis
Authors: Chang Shuai , Li Hong , Xu Chang Hui , Qiu Chao
Published: January 2012

Multiple Input-Multiple Output (MIMO) radar is the recent emergence of a new radar technology. This radar system is a new concept advanced for the inadequacy of the traditional system, it use spatial diversity and angel diversity to avoid multipath fading. In this paper, we mainly analyze the detection performance of MIMO radar, and at the same time compared its detection performance with phased array radar under the same conditions. This paper first established MIMO radar’s signal model based on the distribution of sources, and then analyzes the affect of radar’s detection performance through changing the number of antenna. The simulation result showed that the MIMO radar has a good detection performance compared with phased array radar in low signal-noise-ratio(SNR).
Research and Application of a New Multi-Layer FrameWork on WEB
Authors: Wang Tao , Yuan Li Juan , Ma Ying Li , Li Yan Ling
Published: January 2012

In this paper, make a new layer model, call it as fusiformis-model. This model is a Web-based model, this new model is a traditional three-tier model refinement, and it is divided into multiple layers. The fusiformis multi-tiered application model is applied in the software development process. As a result of the experiment found that bugs in the software could be located more precisely, the development structure was more reasonable. So we think that the fusiformis-model has applacation value in the develoment on Web.
Extension of TOPSIS for Multiple Attribute Decision Making Using Intuitionistic Fuzzy Sets
Authors: Yuan Yuan , He Li Yang
Published: January 2012

This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. Due to the nature of vagueness inherent to real-life situations, some fuzzy data are deemed to suitable enough to describe the qualitative and/or quantitative estimation for decision making problems. Therefore, a new method for multiple attribute decision making under fuzzy environment is discussed, in which the attribute values take the form of intuitionistic fuzzy numbers. To overcome some disadvantages of existing distance measures like indiscrimination, counterintuitive results and difficulty of interpretation, we introduce a new class of distance for describing the deviation degrees between intuitionistic fuzzy sets. Furthermore, the measure of similarity degree for each alternative to ideal point is calculated through using the new proposed fuzzy distance. A model of TOPSIS is designed with the introduction of the particular closeness coefficient composed of similarity degrees. Then, we extend the TOPSIS method to aggregate the fuzzy information corresponding to each alternative, and rank the alternatives according to their closeness coefficients. Finally, an illustrative example is given to demonstrate the proposed approach practicality and effectiveness.
Research on Compensating Method of Flux Fluctuations in Permanent Magnet of AC Servo System
Authors: Qu Bao Zhong , Peng Er Bao
Published: January 2012

This paper suggests a compensating method of flux fluctuations in permanent magnet of AC servo system. after analyzing the characteristics and control measures of flux fluctuations, the compensation strategy for reducing the effect of flux fluctuations on electromagnetic torque is put forward. Though the simulation experiments it is shown that the flux compensation method for improving the position control accuracy of the movers when their running at high speed is proved to be positive effective. For CNC machine tools, industrial robots and other occasions involving sophisticated movement, synchronous servo motors in permanent magnet are usually driven by high-performance sine wave. In order to obtain good control performance, the high demands are put forward for reducing the torque fluctuations Torque fluctuations are an important factor to affect the stability of low speed servo drive system, high-speed stability and precision position control. There are many factors causing torque fluctuations, in which the flux fluctuations in permanent magnet are an important one.
Trajectory Tracking Control of Robot via a Fuzzy Sliding-Mode Controller
Authors: Mei Hong
Published: January 2012

This paper presents a new strategy for the trajectory tracking control of robot, using a fuzzy logic approach and sliding mode control. The key properties of sliding mode control are robustness and chattering which are greatly affected by the motion quality of the reaching phase. The reach law is taken to determine the control law which can improve the convergence speed in the reaching phase and impair the chattering.A fuzzy logic controller is taken to adjust the parameters of the reach law timely which makes the system have a high and rational reaching speed during the whole reaching phase. The error convergencing speed is enhanced which boosted the robustness of system indirectly. And the reaching speed is reduced enough to impair the chattering when the system is very near the sliding mode surface. At last, both the robustness and chattering are improved. A mobile manipulator with two arms is taken as an example to track a given trajectory with the proposed controller. It is found that the results are very encouraging.
Research on Acceleration Slip Regulation for Vehicle Based on Compound Control of Fuzzy and PID
Authors: Li Zhi Yuan , Su Dan Dan , Li Hao Dong , Hou Shun Yan
Published: January 2012

In this paper, the compound control algorithm of fuzzy and PID has been applied in Acceleration Slip Regulation for vehicle to prevent the excessive spin of driving wheels on wet or icy roads. Simulation experiments have been done to investigate the performance of Acceleration Slip Regulation. The results show that the provided Fuzzy PID controller can effectively keep the slip ratio of the driving wheels in the optimal range and improve the driving ability of the vehicle.
A Novel Arnoldi Method to Calculate the Critical Eigenvalues in Power System
Authors: Li Hong Zhong , Jin Yi Xiong , You Da Ning , Zhu Zhen Hua
Published: January 2012

Hopf bifurcation is regarded as one of the three kinds of bifurcations which can cause voltage instability. The Hopf bifurcation was obtained if a pair of complex conjugate eigenvalues of Jacobian matrix crossing the imaginary axis. To calculate the critical eigenvalues of bulk power system, a restarted-refined Arnoldi method is introduced. The refined Ritz vectors are used as the approximations based on the refined projection theory in order to enrich the information of the eigenvectors in the projective subspace. Two examples indicate that the method can work out a set of conjugate eigenvalues which will show whether the Hopf bifurcation appears and provide the datum for the dynamic voltage stability analysis ulteriorly.
Fingerprint Segmentation Based on Fractal Dimension
Authors: Li Hui , Liu Pei Zhuo , He Rong Bo , Yang Yuan Yuan
Published: January 2012

Fingerprint segmentation is an important problem in fingerprint image preprocessing. This paper describes a new approach to the segmentation of fingerprint images based on fractal dimension. First, the Sobel operator is used to calculate the gradient of fingerprint image, and then we employ the concept of fractal dimension to further analyze the image produced by the first step. By estimating the fractal dimension of the foreground and the background of the fingerprint, and combining grayscale as features, finally accomplish the segmentation of fingerprint. The experimental results show that the proposed method performs well in fingerprint segmenting and is better than the existing method.
A New Algorithm for Detecting Position Relationship between Point and Polygon
Authors: Dong Sheng Wu , Wang Dong , Wang Yun Peng
Published: January 2012

A new algorithm for position relationship between detecting point and polygon is proposed based on the research of radial method, and as the first step, transform polygon in convex polygon, then determine the position relationship between detecting point and original polygon by judging the position relationship between detecting point and transformed convex polygon and closed polygon. The new method can accurately determine the position relationship between point and arbitrary shape polygon which fully considers all kinds of position conditions including detecting point inside, on (including vertex) and outside the polygon.
Research on Firewall System for Confidential Network
Authors: Huang Xiao Bo , Huang Xiao Lin , Pu Quan
Published: January 2012

To satisfy the special needs of confidential networks, a protection method of combining ingress and egress access control for network boundary security is proposed. In preventing network attacks, a combined mechanism of packets filtering firewall and intrusion detection system based on artificial neural network and rule matching is implemented to increase the accuracy of intrusion detection. In preventing information leakage, techniques of identity authentication and content filtering are integrated into the mechanism of egress access control so that strategies with more flexibility in security auditing and access control can be implemented, which is effective to prevent the sensitive or secret data from leaking out and to trace the source of leakage.
The Use of BP Neural Network in Evaluation about the Appearance of the Garments
Authors: Wang Jing , Song Jin Ying , Tang Ai Qing
Published: January 2012

This article reports the use of BP neural network for evaluation of the appearance of garment after dry wash. The selected data about parameters of fabrics and interlinings are analyzed by principal analysis and eight principal components are obtained through this method. A BP neural network with a single hidden layer is constructed including eight input nodes, six hidden nodes and one output nodes. During training the network with a back-propagation algorithm, the eight principal components are used as input parameters, while the rate of the appearance of the garment are used as output parameters. The weight values are modified with momentum and learning rate self-adaptation to solve the two defects of the BP network. All original data are preprocessed and the learning process is successful in achieving a global error minimum. The rate of the appearance can be evaluated with this training network and there is a good agreement between the evaluated and tested values.
A Rapid Body Limb Detection Algorithm for Video Sequence Image
Authors: Chen Hua , Hu Chun Hai , Wang Shu Tao
Published: January 2012

We describe an efficient algorithm to detect the limbs of a human. In order to realize the real-time and robustness, we utilize a detection algorithm by using integral image and haar-like feature. The integral image is the original image for video, the pixel value of each point is the point of the original image in the top left of all the pixel values. After the convolution of the edge detection template and the original video for each frame, convolution images obtained information and suppress background noise, the body physical location can be calculated by accumulating the image of the integral image and by using haar-like feature. The experiment results show the algorithm can detect the location of the limbs at the rate of 30 frames per second.
A New Fragments-Based Tracking Algorithm Based on Meanshift and Kalman
Authors: Li Tie Qi , Lu Zhang Ping
Published: January 2012

Occlusion detection is a difficult traffic in the occlusion occurs, the existing system has been blocked based on the regional and multi-block area is not proportional relationship between the division. meanshift algorithm is more popular, the algorithm is robust root tracking algorithm. However, over-reliance on the law target color information, so when multiple moving objects, the color looks similar to when this method often leads to failure of the root trace, In this paper, the object tracking using block and used to predict the kalman filter to speed up the convergence rate of block meanshift. We introduce a new outlook weights, less affected by background sub-block effect on the target track and improve robustness.
Study on the Hot Oil Pipelines’ Cooling Process
Authors: Liu Gang , Zhang Guo Zhong , Zhang Yuan Yuan
Published: January 2012

The characteristics of the cooling of waxy crude in pipelines during shutdown depend on the insulation layer thermal resistance and the environment characteristics around the pipe. The crude cooling process in the pipeline is a unsteady heat transfer problem with phase change and a moving phase interface while the wax precipitattion, the properties of the crude depend on the temperature deeply. The cooling process of the hot oil pipeline is simulated. It shows that the computation results are consistent with the test results, based on which analysis has been done, which reveals that many factors affects the cooling. With the shutdown time goes by, high temperature area which lies upper inside the pipe as the result of natural convection after shutdown would move adown gradually to the lower part inside pipe. And the bigger the pipe is, the longer the safety shutdown is; the higher original temperature also contributes to the safety restart.
Platform Flash XCFP PROMs Updating Using JTAG Boundary-Scan
Authors: Zhang Zhi Xian , Yao Yuan
Published: January 2012

This paper demonstrates a method to update design revisions in the Platform Flash XCFP PROMs for configuration of Xilinx® FPGAs. The Platform Flash XCFP PROMs contain boundary-scan(JTAG) facilities that are compatible with IEEE Std 1149.1. Combining the FPGA configuration data (FPGA bitstream) into a PROM from GPIO ports of an embedded microcontroller through JTAG TAP interface of the PROM. The JTAG download method based on the GPIO ports of an embedded microcontroller can be implemented to erase, program, and verify the Platform Flash XCFP PROMs using IEEE Std 1149.1[1]
Development of Calculation Software of Steady State Parameters for HVDC Transmission
Authors: Zhu Sheng Yi , Wen Jun , Yin Wei Yang , Liu Bao Hong
Published: January 2012

As the ± 800kV Xiangjiaba-Shanghai UHVDC pilot demonstration project has been completion production in China, an UHV AC and DC power era is coming in State Gird. A large number of calculations of main circuit steady state parameters for HVDC system are necessary for both HVDC transmission planning and design and checking DC projects in operation. Therefore, this paper firstly discusses the steady state parameters. Then considering the comprehensiveness of types of HVDC transmission, through digesting design features of foreign similar software, the steady state parameters calculation software for HVDC transmission is developed independently. It has features such as user-friendly interface, real-time calculation and calculation of comprehensive, rapid and accurate, using the mixed programming of Visual C++ (VC++) and MATLAB. Finally, take the ± 800kV Xiangjiaba-Shanghai UHVDC transmission project for example to calculate steady state parameters. The calculation results are accurate to meet the engineering requirements.
A Contrast Experiment Based on the Modification Theory of Toroidal Worm
Authors: Wen Qing Ming , Xu Hua , Tang Wei Xiang
Published: January 2012

To discuss the modification rule of the toroidal worm and optimize its parameters, a contrast experiment is carried out on two toroidal worms which are modified under different modification rules in order to demonstrate the validity of curvature modification theory of toroidal worm. A pair of hindley worms is selected in the experiment. One is modified by the traditional symmetric rule; another is modified by the optimized symmetric rule based on the curvature modification theory. This article introduces the selection of worm’s parameters, the meas of modification and the manufacture of worm pairs. The experiment proves that the performance of the worm which is modified based on the curvature modification theory is much better than the worm modified by traditional symmetric rule. As the essential theory of the parameters optimization, the curvature modification theory is scientific and correct. It is the basis of the optimization and standardization of toroidal worm’s parameters.
A Real-Time Experimental Method for Room Cooling Load Calculations
Authors: Liu Ting Zhang , Gong An Hong , Yao Li Xia
Published: January 2012

A real-time experimental method for room cooling load calculations is developed in this paper. Experimental based study was also performed during summer months of 2010 in a reference office room in Shanghai. Hourly indoor temperature curves were drawn and the cooling capacity of air conditioner was measured. One energy simulation tool, Designer’s Simulation Toolkits (DeST), was used to calculate the basic dynamic temperature and hourly cooling loads. Comparison of results from real-time experimental method and DeST simulation shows that the proposal model can be used in cooling load calculations, with an average 2.5% relative error to DeST results.
Thermodynamic Study for Venus Balloon
Authors: Lei Yan Peng
Published: January 2012

The environment of Venus surface is extremely harsh, while the lower attitude atmosphere is similar to the Earth's stratosphere, so the balloons can be exploited extensively for Venus exploration. First, the Venus atmospheric environment is described with mathematical model. And the Venus balloon thermodynamic model is established. Then, the floating process of a helium prototype balloon, whose floating altitude is 35 km, is numerically examined by this model. The results show that (1) Wherever the Venus balloon releases at the altitude between 30km and 40km, it could reach floating altitude quickly and keep long-term floating; (2) The balloon system temperature should endure the temperature between 440 K and 520 K; (3) Its instantaneous maximum speed is less than 10 m/s.
The Preprocessing for Infrared Sea-Surface Target Image
Authors: Lou Shu Li , Ren Jian Cun , Han Yan Li , Yuan Xiao Hu , Zhou Xiao Dong
Published: January 2012

The preprocessing for infrared sea-surface target image is very important to automatic target recognition and tracking. The preprocessing can reduce noise and enhance target, and it is the base of feature extraction and target recognition. The scene model of infrared sea-surface target image was established. The characteristics of infrared image are analyzed, and several methods of preprocessing nowadays were analyzed and compared. According to the different characteristic of infrared image, a preprocessing scheme is proposed. The experimental results indicate that in practical application appropriate methods should be chosen for different purpose. In order to get good preprocessing effects, these methods can be assembled into multi- process.
Hybrid Discrete Particle Swarm Optimizer Algorithm for Traveling Salesman Problem
Authors: Wu Hua Li , Wu Jin Hua , Liu Ai Li
Published: January 2012

PSO has been widely used in continuous optimization problems, but in discrete domain the research and application is very little. By redefining the position and speed of particles and related operations, the discrete particle swarm algorithm can be constructed. Due to the weak capacity of local search of PSO and be easy to constringe the local optimum, it is combined with simulated annealing and the hybrid discrete PSO is constructed using the characteristics that simulated annealing can accept some ungraded solution under the control of certain probability,finally the algorithm is applied to solving the traveling salesman problem successfully. The simulation results show that the hybrid discrete PSO can get better optimization effect, which validates the effectiveness of the method.
Design of the Dielectric Resonator Oscillator with Buffer Amplifier
Authors: Su Yun , Zhao Hui Lin , Liu Xi Feng , Huang Li Hao
Published: January 2012

A new structure of microwave field effect transistor Dielectric Resonator Oscillator (DRO) working at 8.5GHz is presented with negative resistance theory and harmonic balance theory. In order to magnify the output power and enhance the load pulling, a Buffer Amplifier (BA) is designed after the DRO. The nonlinearity and linearity of this structure are analyzed and optimized with commercial software ADS. Then the properties of this structure are simulated with commercial software HFSS. Simulation results show that DRO co-integrated with BA a high output power of 13.426dBm, at an oscillation frequency of 8.5GHz.
Design of a High-Speed Digital FIR Filter Based on FPGA
Authors: Xu Guo Sheng
Published: January 2012

To realize filtering of high-speed input data, and aiming at the design method of systolic FIR digital filter, this paper proposes a design method of high-speed FIR filter based on FPGA. The states conversion between coefficients configuring mode and filtering mode is finished by FSM (Finite State Machine), which ensures the system to work orderly. The experimental results demonstrated, it can reduce the input dimension and eliminate linear and nonlinear interference effectively. In addition, it is very suitable for hardware implementation due to its simple structure.
Research on Encrypt Algorithm Apply in WSN
Authors: Tan Ding Zhong , Jing Nian Sheng , Shi Zhu , Zhang Hou Chen , Gao Ming
Published: January 2012

The encrypt algorithm apply in WSN (Wireless sensor networks) is researched, the principle that the encrypt algorithm apply in WSN must follow is advanced. TEA algorithm is researched and used in multi-layered structure WSN, The routing protocol, the data communication protocol and the data encryption technology of the WSN are researched and tested, the results showed that TEA algorithm is appropriate algorithm and meet achieve requirement of the encrypt algorithm used in WSN.
Detection of Violence Based on Hidden Markov Model
Authors: Lu Hui Qing , Zhu Wei Nan , Zhou Yu Chao
Published: January 2012

This paper proposes an intelligent video analysis technology for elevator cage abnormality detection in computer vision. By collecting, processing, and analyzing video images in real time, the feature vectors including the variation of foreground pixels, the variation of length and width of foreground region’s enclosing rectangle and the variation of foreground region’s center of mass are obtained. The background is modeled by the Codebook Subtraction algorithm，these feature data are processed via K-Means clustering to get observation sequences, which are used to model a Hidden Markov Model (HMMs) for the normal activity. Last, the abnormalities are identified by the difference, which is predetermined by observing the normal and abnormal activity testing sequences, from normal activity model
Design of Reconfigurable FIR Filter System Based on FPGA
Authors: Xu Guo Sheng
Published: January 2012

In order to improve the real-time and flexible of FIR digital filter, a reconfigurable FIR filter system based on FPGA is designed. According to the filter specialties, the filter coefficients are calculated by the computer. And the configured coefficients of the multistage FIR filter are downloaded to the chip. The filtering computing is completed by the FPGA. The filtered data is transmitted to the computer through the USB2.0 interface for further processing, such as displaying, analyzing and storing. The states conversion between coefficients configuring mode and filtering mode is finished by FSM (Finite State Machine), which ensures the system to work orderly. The experimental results demonstrated that the coefficients configuring of the system is easy, which can adjust the filter coefficients flexibly according to the actual demand, and the filter is effective，that it can effectively filter out the noise signals.
A Novel Intelligent Load Control Switch Based on Dynamic Compensation Method for Current Zero-Crossing Point
Authors: Zheng Gui Lin , Zhang Zhi Fu
Published: January 2012

A new-type of intelligent electric load control switch composed of three separate magnetic latching relays is presented. A method of AC current and voltage sampling and root mean square (RMS) calculation is employed to ensure reliable operation of the electric load. The method possesses such features as less hardware requirements, good real-time performance, high frequency interference eliminating. Current zero-crossing break is the most outstanding advantage of the switch. In order to guarantee the magnetic latching relay shut off at current zero-crossing point accurately in long term operation, a dynamic compensation for delay time is proposed based on all-around research of the properties of magnetic latching relay actuation time. Finally, an application of the switch in the electric load control system constructed via CAN bus and ZigBee network is well brought forth.
Unorganized 3-D Points Data Registration with Local Geometric Feature Based on CUDA
Authors: Wei Qi Ming , Wu Wei Yong
Published: January 2012

Automatic Automatic 3-D unorganized point data registration technique,which maps 3-D datas measured from multiple viewpoints into a common coordinate space, is a key technique for reverse engineering.In order to improve data matching speed, a parallel detecting algorithm with local geometric feature based on CUDA architechure was proposed.Firstly,local geometric feature points were extracted from original data sets,and then the correspondence between them are computed, at last this registration algorithm was implemented in parallel pattern on CUDA.The comparison experiments show that this algorithm is efficient and robust against noise.
Study on the Route Planning for Anti-Submarine Ship-Based UAV Based on Genetic Algorithm
Authors: Men Jin Zhu , E Qun , Yao Ke Ming
Published: January 2012

The route planning is an important part of UAV mission planning, especially for anti-submarine ship-based UAV. When a ship-based UAV searches submarine, it must be planned a route reasonable. Various restricted conditions are considered in this paper, including the capability, oil cost, air threat, and aviatic area. Under the condition of reasonable assumed tactics, an optimal route, which is from the original point to the target point, is planned for the ship-based UAV, with voronoi diagram, Dijkstra algorithm, and genetic algorithm. The method and the result provide an efficacious guarantee for the ship-based UAV to complete the mission of searching submarine
Application of a Grillage Model in Finite Element Analysis of Pre-Stressed Concrete Continuous Box-Girder
Authors: Liu Yao , Wang Yun He
Published: January 2012

The grillage method is an analytical method of space structure which can simulate the original structure; it can get the deflection and strain data of main control section, to satisfy the calculation requirements of the static loading test theory for box-girder. This paper regards Tuanjie Road junction bridge static test of Daqing city as the research object, adopts finite element program ANSYS to emulate the test bridge, it mainly discuss influence degree to the loading of the curved girder bridge at the different load with longitudinal and transversal members of grillage by the different dividable method, its effectiveness is verified.
An Empirical Study of Knowledge Discovery on Daily Electrical Peak Load Using Decision Tree
Authors: Li Zhi Yong
Published: January 2012

Load forecasting plays an important role in effective energy management and system reliability. However, difficulty in load forecasting arises due to its nonlinear and irregular variation. This paper presents a case study in which the effect of weather elements on public utility system peak demand is first studied to find the most decisive weather index. The average temperature and previous load demand data are then selected as input variables to predict next-day peak load. The empirical results indicate that the forecasting performance can be improved by applying support vector regression machines.
Fuzzy System Reliability Analysis Based on Confidence Interval
Authors: Jamkhaneh Ezzatallah Baloui , Nozari Azam
Published: January 2012

This paper proposes a new method for analyzing the fuzzy system reliability of a parallel-series and series-parallel systems using fuzzy confidence interval, where the reliability of each component of each system is unknown. To compute system reliability, we are estimated reliability of each component of the systems using fuzzy statistical data with both tools appropriate for modeling fuzzy data and suitable statistical methodology to handle these data. Numerical examples are given to compute fuzzy reliability and its cut set and the calculating was performed by using programming in software R.
Communication Constellation Design Trimmed by Network Routing
Authors: Chen Xiao Yan , Han Chao
Published: January 2012

Communication constellation design and satellite network routing are conventionally treated as two independent design processes; however, the routing results can actually give opinions to the constellation structure on its communication service quality. Based on this consideration, a new communication constellation design method is proposed in this paper which allows the constellation design to be trimmed by the routing in the way of introducing the routing result as a feedback, aiming to achieve a better constellation structure for the routing. The design method rationale is explained and a simulation scenario is given. With a basic Celestri configuration and opening the inclination to several options, the minimum link handovers and time delays offered by routing optimization on each configuration structure are compared. The simulation results show that by altering the Celestri inclination with a small amount, the constellation can achieve better routing performance, which validates the new design method.
An Wavelet Based Handoff Algorithm for Cognitive Wireless Network
Authors: Li Meng Jia , Wang Jing Yao , Song Mei , Wang Xiao Jun , Liu Ning Ning
Published: January 2012

This paper proposed a novel handoff algorithm for cognitive network based on wavelet analysis and fuzzy control system. It makes the system cognitive and adaptive to the changes of the environment by two steps: first, make wavelet analysis to the received signal to get the basic signal which is without noise. Second, use adaptive neuro-fuzzy inference system (ANFIS) to make diligent handoff decision. The simulation shows that it improves the performance of the whole system when the channel is in low signal-to-noise ratio.
Simulation Research on EDF Scheduling Algorithm of CAN Network Based on OPNET
Authors: Wu Jie Chang , Hao Jia , Guo Chao You
Published: January 2012

In order to analyze and evaluate real-time performance of CAN network, the OPNET models of CAN network with Fixed Priority Scheduling (FPS) and Earliest Deadline First (EDF) have been set up in this paper. Based on simulation experiments, the performances of average delay and transmission success ratio in the two models are analyzed and the experiments also indicate that under normal load condition the two scheduling algorithm both can send data frame successfully before the deadline. In a slight overload condition FPS algorithm makes the transmission delay of low priority data frame significantly increased, and even occurs the phenomenon that low priority data frame can not be sent at all times; while the EDF algorithm can make all the nodes to complete the data frames in less than 3ms transmission delay, it meets the delay requirements that are delay should less than 10ms in most control systems, it indicates that EDF algorithm has the better scheduling and availability in soft real-time system.
High Capacity Steganographic Scheme for JPEG Compression Using Particle Swarm Optimization
Authors: Rabevohitra Feno Heriniaina , Sang Jun
Published: January 2012

A steganographic scheme for JPEG compressed image with high capacity and with good quality of the stego-image was presented. A quantization table of size 16*16 was used instead of the commonly used size 8*8 in most JPEG compression to obtain higher embedding capacity. In addition, to improve the quality of the stego-image, particle swarm optimization (PSO) was applied to find an optimal substitution matrix to transform the secret data into the best fit for the cover image before embedding. The experimental results show that, for the proposed scheme, the improvement of the quality of the stego-image and a higher capacity of the secret data was achieved.
A Self-Adaptive Listen-Time Sleeping Algorithm Based on the Number of Neighbor Nodes for Wireless Mesh Sensor Networks
Authors: Hao Jun Feng , Fan Jing , Shi Wen Yu
Published: January 2012

Power saving is a very critical issue in wireless sensor network. Many schemes for power saving can be found in the literature, but these schemes barely consider different topology of nodes. In this paper, based on S-MAC algorithm, NALS-MAC algorithm is designed and combined with the characters of application background of wireless mesh sensor networks. According to the number of neighbor nodes, sensor nodes self-adaptively generate the listen-time during a period respectively. The node with more neighbors will have longer listen-time, because more neighbors means higher probability of heavy traffic. The nodes need longer time to deal with information than nodes with low traffic. The results show that the sensor nodes adjusting the listen-time self-adaptively in proper way achieves the reduction of end-to-end delay and enhance throughout.
Application of Density-Based Adaptive K-Means Clustering Algorithm in Web Log Mining
Authors: Guo Guang Nan , Yun Yong Gang , Chu Mei , Shi Hong Yan , Yin Ke Gong
Published: January 2012

Aiming at main challenges of Web mining and personalized service currently, basic K-Means algorithm of clustering techniques was researched, including algorithm flow and limitations. To solve shortcomings of pre-determining cluster number, heavily dependent on initial center selection and particularly sensitive to noise as well as edge data in basic K-Means algorithm, improved density-based adaptive K-Means algorithm was presented. It conducts steps of initial classification and K means iterative to reduce impact of above problems and improve clustering quality. Experiments on Web log clustering also verified its effectiveness.
A New Distortion Correction Algorithm Based on Image Magnification
Authors: Wang Min , Pan Hui , Xu Jing Liang , Liu Xiao Hui , Xu Si Xiang
Published: January 2012

A new method to correct a distorted image is proposed, which is based on the relationship between image magnification and distortion coefficient. Firstly, the image magnification is solved. Then, the image distorted coefficient can be obtained by simple linear operation. Ultimately, experiments are carried out, where the correction results obtained by the collinear points-based method are compared with the method proposed in this paper. The results show both provide good correction effects, but, the accuracy of the new proposed method is higher and the proposed method takes the advantages of simple algorithm, few known conditions and fast computing speed. The new method has great significance in engineering metrology and complex condition.
Fusion of Image Contour Moments and Fourier Descriptors for the Hand Gesture Recognition
Authors: Lei Hai Long , Yang Sheng
Published: January 2012

Hand is a highly variable organ and hand features are easily affected by environmental factors. Considering the characteristics of hand gesture, a novel hand gesture recognition algorithm based on hybrid moments is presented. First, According to the color cue, the hand shape is available to extract from the complicated background, then the contour moment invariant and Fourier Descriptor are extracted and fused into a hybrid feature, finally the hybrid feature are put into the BP network to identity. The experimental results show that the method has better robustness and higher recognition rate.
Selection of Cognitive Users in Cooperative Spectrum Sensing
Authors: Zheng Xue Qiang , Chen Juan , Wang Xin , Kong Fan Jun
Published: January 2012

Cooperative spectrum sensing under network overhead constraints is studied. To protect the primary user well, the detection probability must exceed the predefined threshold. Based on the protection of the primary user, the constraints on optimal number of cognitive users are defined by weighting the detection performance and the usage efficiency in a target function. The analysis of the target function is given under energy fusion strategy in the fusion center. The simulation results show the validity of the constraints.
The Research on Security Technology of Mobile Internet
Authors: Zheng Hong Jian , Zhang Peng Fei , Xue Fei
Published: January 2012

The mobile internet is now in high-speed development as well as the trend of the convergence of mobile communication and Internet, which has brought a lot of new problems and challenges at the same time, especially security problems. The mobile Internet is flooded with unauthorized access, illegal traffic, bad-information transmission, thus resulting in great damage to the people's everyday life and work. This paper will analyze the performance and causes of security problems and introduce the technology for the mobile internet.
Prolonging Lifetime of Wireless Sensor Networks with Energy-Efficient Clustering Scheme
Authors: Talebzadeh Behrooz , Jamali Mohammad Ali Jabraeil , Alilou Mahmoud , Agazadeh Fahimeh , Kavian Ali Asghar
Published: January 2012

In this paper, we will present an energy efficient clustering scheme in order to increase the wireless sensor network’s lifetime. In the proposed method all of the nodes are able to appear as cluster heads, in other words each node decides whether to act as a cluster head and aggregate data or to route the incoming data to a neighbor better suited for this role. The main goal of the proposed method is to eliminate the extensive overhead due to selection of the cluster head and the agreement on it. One of the characteristics of the proposed method is that it does not converge to a specific cluster head, so the balances the energy consumption in clusters which will result in increment the network’s lifetime. In addition the proposed method reduces the delay in the network and also maintains the load balance in a significant manner by selecting the optimal cluster head and optimal intra-cluster and outside-cluster paths.
Multi Dimension Knowledge Mining in Heterogeneous Data Resources
Authors: Wang Yong Jiao
Published: January 2012

With study on heterogeneous network environment and data source object, this paper has explored a variety of data in the feasibility knowledge discovery in accordance with the model. The method has been achieved on the data validation of ideas in how to effectively use the network data mining resources and the access to potentially obtain the valuable domain knowledge. The main research activities include: 1.presenting the domain knowledge mining model on the network environment. 2. Presenting a new model of the probability of topic: Topic- Author model. 3. Presenting a Blog knowledge framework with the analysis and diffusion of ideas on the theme of mining, the results shows that the field of knowledge is proposed the mining method, which is able to find a large number of valuable, potentially multi-dimensional knowledge and application of knowledge. Therefore, it can provide the users with a variety of services and support the information age, knowledge acquisition and learning.
Research on the Combination of Modern Information Technology and English Teaching
Authors: Zheng Ya Di
Published: January 2012

With the popularization of multi-media and network technology, some Chinese schools are applying the high technology to the class. The author believes that the model of teaching and learning focus on the establishment of multi-media class environment and the after-school autonomous learning system. The utilization reflects the development process of the combination of modern information technology and English teaching. The modern teaching technology, which includes multi-media, network system and various teaching aids, enriched the choice of teaching resources and provided plenty of materials for teaching so as to supply more opportunities for students. The applications of information transition to class, such as multi-media and network technology are increasingly concerned and favored by teachers and students and have becoming one of the best devices for modern education. The author of this paper divide the application of multi-media and network technology to English teaching into two parts according to the experience of teaching practice and the utilization of language lab: the language class environment based on the use of multi-media and the after-school autonomous learning system based on network technology.
Mapping of Research Hot-Topics in the Area of Higher Education in China since 1998 - Based on Analysis of Key Words from CSSCI
Authors: Zhang Ling Zhi , Ye Hu , Liu Sheng Bo
Published: January 2012

This article draws a visual map of hot-topics in the area of higher education in China by CiteSpace software since 1998, Which is based on the key words to the essays of higher education on Chinese Social Science Citation Index. Further, it analyzes the ideology behind the change of discourse and social causes, with 12 years history of Chinese higher education changes.
Contact Analysis for the Critical Shoulder Height in Angular Contact Ball Bearing
Authors: Choi Dong Chul , Kim Tae Wan
Published: January 2012

A numerical method to determine the shoulder height in the angular contact ball bearing using 3D contact analysis is proposed. The load analysis of a ball bearing was performed to calculate the distributions of internal loads and contact angles of each rolling element. From the results of bearing load analysis and the contact geometry between ball and inner/outer raceway, 3D contact analyses are conducted. The developed algorithm is applied to an angular contact ball bearing for the automotive wheel. The critical axial loads which are not affected by edge in the present shoulder height are calculated. The critical shoulder heights are also determined when the bearing is subjected to a practical load.
An Efficient Video Steganography Algorithm Based on Sub-Macroblock Partition for H.264/AVC
Authors: Yang Xiao Yuan , Zhao Li Yi , Niu Ke
Published: January 2012

In this paper, a simple video steganography algorithm based on the tree structured motion compensation of the H.264 video compression standard is proposed. In the proposed method, the head data of macroblock in P/B-frames was used as a cover, the 8x8 partition modes which represent the detailed areas are selected, and information hiding is implemented by modifying the partition modes of the sub-macroblock. Experiments are designed to prove the feasibility of the proposed scheme by using different kinds of test videos. Simulation results show that, in our scheme, a high data hiding rate is obtained with a little increase on bit rate, and it also has the characteristics of high computational efficiency and imperceptibility.
Blood Vessel Segmentation Using Optimal Flow Based on Bayesian Selecting Scheme
Authors: Zhao Shi Feng , Zhou Ming Quan
Published: January 2012

In this paper, we present a novel method for segmentation of cerebral blood vessels form magnetic resonance angiography(MRA) images using optimal flow based on Bayesian selecting scheme algorithm. First the multi-distribution regression algorithm is applied to MIP to decrease the quantity of mixing elements. Then the probability-control selecting scheme is put forward to divide the local neighbor into brain vessels and other tissues with consistent motion vector. Finally, the optimal flow algorithm is adopted to refine the vector and get the final result. The feasibility and validity of the algorithm is verified by the experiment. With the algorithm, small branches of the brain vessels can be segmented, and the accuracy of segmentation is improved. Experimental results on head MRA dataset confirm the efficiency of the proposed approach.
An Image Fusion Algorithm Based on Pseudo-Color
Authors: Li Lei
Published: January 2012

The pseudo-color processing for target identification and tracking is very meaningful Experimental results show that the pseudo-color image fusion is a very effective methods. This paper presents a false color image fusion based on the new method. Fusion using wavelet transform grayscale images, find the gray fused image and the difference between the original image, respectively, as the image of l, α, β components are color fusion image, and then after the color transformation, the final false color fused image. The results showed that the color fusion image colors more vivid, more in line with human visual characteristics.
FPGA + DSP-Based Real-Time Image Acquisition System Research and Design
Authors: Kong Su Ran
Published: January 2012

Image processing system to calculate the volume, real-time high and the requirements of small size, using the DSP-based processor, FPGA approach, supplemented by the processor design of a high-performance real-time image processing system, and the system In the process of image acquisition and transmission of noise, using the PCB's anti-jamming design. Practice shows that two chips using FPGA + DSP, the algorithm is divided into two parts by the FPGA and DSP processing; effectively improve the efficiency of the algorithm. System real-time high, adaptability, real-time image acquisition system can meet the design requirements.