bluuebunny/crossref_metadata_2025 huggingface dataset:
NC Machine Tool Control System Design Based on CAN Bus
Authors: Yang Shu Yi , Huang Cheng , He Yan Fang
Published: February 2011

With the development of computer network and automation technology, network production of NC machine tool has become trend in enterprise. Aim at communicate interface of NC machine tool, a NC machine tool control system design based on CAN bus was presented. Asynchronism serial communication software between DNC host computer with NC system and hardware realization of CAN bus communication and the key technologies for realizing system were discussed in detail.
Noisy Immune Optimization for Chance-Constrained Programming Problems
Authors: Zhang Zhu Hong
Published: February 2011

This work puts forward a parameter-less and practical immune optimization mechanism in noisy environments to deal with single-objective chance-constrained programming problems without prior noisy information. In this practical mechanism, an adaptive sampling scheme and a new concept of reliability-dominance are established to evaluate individuals, while three immune operators borrowed from several simplified immune metaphors in the immune system and the idea of fitness inheritance are utilized to evolve the current population, in order to weaken noisy influence to the optimized quality. Under the mechanism, three kinds of algorithms are obtained through changing its mutation rule. Experimental results show that the mechanism can achieve satisfactory performances including the quality of optimization, noise compensation and performance efficiency.
Nonlinear Time Series Prediction Using High Precision Neural Network
Authors: Zhou Jie Hua , Peng Xia Fu , Liu Li Sang
Published: February 2011

A new type of high precision back propagation (BP) neural network model was proposed and applied to nonlinear time series for improving its prediction accuracy. In order to optimize the neural network structure, it uses the correlation analysis to select the number of input node for BP neural network at first. Second, it uses grey clustering method to select the initial number of hidden node for BP neural network, then using the grey correlation analysis method to analyze the correlation degree between hidden node output and network output and according to the size of correlation degree to delete the redundant hidden nodes. Meanwhile, in order to improve model prediction accuracy, it increases the direct connection between the input layer and output layer. Finally, prediction results show that the proposed model has good prediction capability.
On Expanded and Improved Affinity Propagation Clustering Algorithm
Authors: Chen Xin Quan
Published: February 2011

Facing to the shortcoming of Affinity Propagation algorithm (AP), we present two expanded and improved AP algorithms. In the two algorithms, the AP algorithm based on Grid Cell (APGC) is an effective extension of AP algorithm on the level of grid cells, and the AP clustering algorithm based on Near neighbour Sampling (APNS) is trying to make some improving in time and space complexity. From some simulated comparison experiments of three algorithms, we know that APGC and APNS algorithms have evident improving than AP algorithm in time and space complexity. They can not only get a good clustering quality for massive data sets, but also filtrate noises and isolates well. So we can say they are two effective clustering algorithms with much applied prospect. At last, several research directions are presented.
Optimization Design of Large-Scale Cross-Roller Slewing Bearing Used in Special Propeller
Authors: Zhang Gang , Zhang Xue , Zhou Kai Feng , Ruan Juan , Jiang De De , Yin Qing Zhen , Li Ming Yan , Zhang Yan
Published: February 2011

According to the working requirement of large-scale cross roller slewing bearing used in special propeller, an optimal design model which includes objective function, optimization variables and constraints is established, and uses genetic toolbox of the Matlab software to solve the mathematical model. An example shows that the bearing’s life is improved significantly by the optimization. It indicates that the optimization design has some guidance significance in the design process of the slewing bearing.
A New Method for Feature Point Matching: Inner and Exterior Product
Authors: Wang Xu Guang , Lin Li Jun , Cheng Hai Yan
Published: February 2011

In this paper, a novel feature descriptor called gradient correlation descriptor (GCD) is proposed. The GCD descriptor uses the gradient correlation measure defined by the inner and exterior product to characterize the gradient distributions in neighborhoods of feature points, and it has the following advantages: Its construction is very simple because of only the inner and exterior product operations are used; Its distinctive performance is better than the region-based SIFT descriptors since the gradient correlation measure can effectively characterize the gradient distributions in neighborhoods of feature points; In the gradient correlation measure the use of gradient mean makes it is not sensitive to the estimate precision of main orientation of feature point, and thus can provide a better stabilization to image rotation; The gradient correlation measure makes it also has very good adaptability to image affine transform, image blur, JPEG compression as well as illumination change.
Petri Net with Uncontrollable Transition and GA Based Approach for JSP
Authors: Ze Tao , Liu Xiao Xia
Published: February 2011

A new dual-objective scheduling method based on the controlled Petri net and GA is proposed to the job-shop scheduling problem (JSP) with urgent orders constrained by machines, workers. Firstly, a controller designed method for Petri net with uncontrollable transition is introduced, and based on the method, the Petri net model is constructed for urgent jobs in flexible job shop scheduling problem. Then, the genetic algorithm (GA) is applied based on the controlled Petri net model and Pareto. Function objectives of the proposed method are to minimize the completion time and the total expense of machines and workers. Finally, Scheduling example is employed to illustrate the effectiveness of the method.
Reliability Assessment of Automatic Ultrasonic Inspection for Complex Surface Components
Authors: Hu Hong Wei , Li Xiong Bing , Wang Xiang Hong , Shao Yi Min
Published: February 2011

In this paper, we address the problem of automatic inspection complex surface using an ultrasonic technique and the reliability of inspection. First, an automatic ultrasonic inspection manipulator is introduced. Through ultrasonic inspection and defect analysis, the parameters of flaws can be calculated automatically. Then, a POD analysis method is provided to assess the reliability of inspection. Finally, Experiments are conducted and the POD curves with the sizes of flaws and the scanning gaps are obtained.
Reliability Prediction of Mechanical and Electrical Products
Authors: Li Ling Ling , Zhao Chun Tao , Yang Chun Wen , Li Zhi Gang
Published: February 2011

In the preliminary stage of mechanical and electrical products reliability prediction, due to the lack of reliability data, the reliability prediction is expected to be difficult. But also in the design process, lots of fuzzy and uncertain information is existence. In view of this, the reliability prediction model based on triangular fuzzy number is proposed. This model is consistent with the mode of thinking, can also merge the fuzzy information very well and make the fuzzy decision . On this basis, according to the influence factors of mechanical and electrical products reliability, analytic hierarchy process (AHP) is applied to determine weights, the model of the fuzzy comprehensive evaluation is built and a new operator is introduced for the triangular fuzzy number. Therefore a more objective prediction can be expected to make for the reliability of mechanical and electrical products.
Research and Optimization on the Louvered Fin Height for Subcompact Radiator
Authors: Liu Chuan Bo , Ming Li
Published: February 2011

To get more appropriate louvered fin structure of a series of subcompact radiators, Fluent was used to analyze the subcompact radiator louvered fins numerically. The fin model was verified availably by testing the error between the simulation results and experimental ones. Through modifying the critical dimension of louvered fin models, the friction factor f and the heat factor j of subcompact radiator louvered fins under different fin height were obtained. The regression analysis indicated that the friction factor was linear with fin height, and the heat factor was the power function of fin height. The dimensionless parameter j/f1/3was introduced to evaluate the comprehensive performance of fins, and the research indicated that the performance would be best when the fin height was 8.94mm. The result has a certain practical value for improving the performance of subcompact radiators.
Research of Adaptive PID Controller Based on Genetic Algorithm
Authors: Chen Huai Zhong
Published: February 2011

Aiming at the turning issue of PID control in industrial processes, a strategy of applying variable PID parameters was presented. This paper utilized the characteristic that genetic algorithm can rapidly optimize globally, performance indexes can form corresponding fitness functions through real number encoding of parameters of the controller, and best parameters of the controller can be obtained through adopting self-adaptive mutation rate for repeated genetic manipulation. Simulation results show that the method improves the optimal performance of parameters, and can achieve better dynamics performance and control effect.
Research of an Automatic Forest Fire Detection System Based on Cooperative Perception
Authors: Dong Zheng , Huang Da Gui , Zhang De Yin
Published: February 2011

This paper proposes a distributed intelligent system for forest fire detection based on integration of information from several distributed sensors. An automatic fire detection system with ultraviolet fire detector and CCD camera is developed. The system is based on a set of image processing functions, and it also involves data fusion algorithms for cooperative perception. The experimental results verify that the method can improve the whole detection system in accuracy, and it can detect and alarm the fire of 1 over 1500m distance precisely.
A Novel Descriptor for Line (Curve) Matching
Authors: Wang Xu Guang , Su Jie
Published: February 2011

This paper defines a new image feature called Harris feature vector, which is able to describe the image gradient distribution in an effective way. By computing the mean and the standard deviation of the Harris feature vector in a local image region, novel descriptors are constructed for line (curve) matching which are invariable to image rigid transformation and linear intensity change. Experimental evidence suggests that the novel descriptor for line (curve) matching performs well.
Research of Learning and Training about Inversible System of Neural Network
Authors: Cao Jian , Zhu Xiao Ping
Published: February 2011

This paper discusses training structure and procedure about inversible system of neural network. Subsequently, selection of input signals is focused on. Finally, the paper proposes some principles and ways to obtain training sample of inversible system.
Research of On-Line Detection Apparatus for Industrial Steel Wire Rope
Authors: Zhong Xiao Yong , Zhang Xiao Hong
Published: February 2011

A new type of steel wire rope non destructive evaluation (NDE) apparatus is presented. It is composed of Hall sensor and signal processing system based on embedded micro processor. The apparatus detects flaws of steel wire rope real-time and on-line. The detection principle, hardware structure and software design of the apparatus are introduced. Examples of the application are given. The experiment results show that quantitatively defect detection of steel wire rope is attained. The apparatus can also be used for the test of the ferromagnetic bars.
Research of the Demodulation for TWACS Based on the Industrial Power
Authors: Lu Wen Bin , Sun Feng Jie , Luo Ying Li , Yan Ying , Liu Zhi Jun , Bi Xiao Wei , Li Peng Fei , Chen Yong Quan
Published: February 2011

A set of TWACS system is designed and implemented in this paper by analyzing the transmission characteristics of the TWACS signals in the industrial power. And its synchronization information is modulated by pseudo-noise code, and the synchronous detection is conducted by using signal synthesis and time-frequency analysis to determined the demodulation domain, then data demodulation is realized by using cross-correlation technique. This method is able to adapt to the bad channel environment in the industrial power.
Research on Forecasting the State of Driver Based on Chaos Theory
Authors: Liu Yun , Hou Zhi Xiang , Yu Dan , Wu Yi Hu
Published: February 2011

Considering ‘The state of car is the outside and mechanized expression of driver character’, the HRV sets of driver are input which could show the chaos characteristic, the constructed variable named ‘safety time coefficient’ is set up as output, and then a forecasting network on the state of driver is established. And a BP algorithm combing with chaos optimize algorithm is used in the network. The simulation results show that the established network could forecast the state of drivers and the reliability is steady.
Research on Ride Comfort of Half-Rotating Walking Mechanism
Authors: Wang Xiao Yi , Liu Jing Liang , Chen Fu Qiang , Qiu Zhi Zhen
Published: February 2011

Bionic walking mechanism is an important part of bionic motion machinery. According to the characteristics of biped walking, a new biped-imitating walking mechanism called Half-Rotating Walking Mechanism (HRWM) was developed using Half-Rotating Mechanism (HRM) which can generate asymmetrical motion. The drive way and walking principle of HRWM were firstly introduced. On the basis of deducing kinematical equations of HRWM, some main factors of ride comfort were presented, which include a new factor named relative amplitude that could be used to valuate the ride comfort of various walking mechanism. The optimization model of HRWM structure was then proposed, which took parameter relationship as design variable. The optimized result could be applicable to different size HRWM. Finally, the calculating result shows that HRWM with optimized parameter relationships has good performance on ride comfort in the process of walking.
Research on the Bending Charge Sensitivity Distribution of Piezoelectric Quartz
Authors: Gao Chang Yin , Li Wan Quan
Published: February 2011

In order to enhance measurement precision of the piezoelectric micro-actuator, by means of the transformation rule of tensor the research on the Bending Charge Sensitivity Distribution of Piezoelectric Quartz is conducted. First by the theories of elasticity and electromagnetism the torsion stress and bound charge are calculated, and the charge measured by the detection electrodes is obtained, which depend on the piezoelectric coefficient d12. Then using the transformation rule of tensor the piezoelectric coefficient d12 in the new coordinate system is calculated, and according to the unrestrained multipurpose optimization method the optimization Cut is obtained. Finally a special designed experiment is performed, and the experimental results show that the bound charge produced by the optimized Cut is about twice larger than that primitive Cut. This research on the bending charge sensitivity will provide a theoretical foundation for disposing the detection electrodes of a new piezoelectric micro-actuator
Study of Urban Land-Use Structure Situation on the Ground of Information Entropy
Authors: Mi Cui Lan , Liu Ying Li
Published: February 2011

In order to reveal the change law of land structure in recent years and the future land use structure in urban Tangshan, an analysis of the rules is conducted by applying such information theory as information entropy, equilibrium degree and dominance degree to nine types of land in urban Tangshan from 1998 to 2007. Then principal component analysis and SPSS are used to analyze the driving forces and the impact of various factors on land use structure. Finally, land use structure in 2012 and 2017 is predicted through Markov models.
Study on the CT Real-Time Scanning Tests and Deterioration Evolution Process of Recycled Concrete
Authors: Chen Ai Jiu , Zhang Qing , Wang Jing , Ge Zhan Fang
Published: February 2011

Based on CT imaging theory and self-designed loading device, the CT real-time scanning test on recycled concrete under uniaxial static compression has been accomplished, which can be used to specifically study the whole process about microcrack initiation, perforation, coalescence and macrocrack generation in meso-scale. By real-time CT scanning of cylinder recycled concrete specimen, the propagation process of the internal cracks can be effectively tracked during the whole loading process. By extracting and analyzing the CT numbers of CT images under different loading period, the relational expression between CT numbers and deterioration variable was established, which can better reflect the effect of mixing amount of recycled coarse aggregate on deterioration degree of recycled concrete. The results showed that with the increasing mixing amount of recycled coarse aggregate, the deterioration degree of the specimens increased slightly yet uniaxial compression strength of the specimens decreased slightly.
Improvement Design Research of a CNC Lathe-Bed Structure
Authors: Duan Yao Dong , Zhang Guang Peng , Guo Chun , Peng Li Li , Huang Yu Mei
Published: February 2011

The lathe-bed structure has a great influence on the overall performance of a lathe. The CNC lathe-bed model is established based on the finite element method, then the defects of the lathe-bed structure were found out by dynamic and static analysis. The reasonable layout of stiffened plate structure in the lathe-bed is put forward without altering the shape size and interface dimension of the lathe-bed, and three better types of modification configuration of the lathe-bed were proposed in this paper.
Study on the Impact of Lead-Rubber Bearing Parameters on Seismic Responses of Seismically Isolated Pier
Authors: Xu Yuan Qing , Zhong Tie Yi , Ji Wen Gang , Li Xu
Published: February 2011

Based on the finite element program SAP2000, 120 models of eight different piers with different lead-rubber bearings (LRB) are established. The seismic response analyses of piers isolated by LRB in axial direction of the bridge are carried out under the excitations of seven earthquake waves. The calculations of seismic responses of the piers with and without isolation are implemented by using dynamic time-history analysis method, and the comparison of the results is given out. Considering the isolation ratio of the moment at the bottom of pier as observation samples, the variances of the three LRB mechanical parameters are analyzed. Furthermore, the ability of the parameters of LRB to adjust the seismic response of different piers is discussed. The analysis results show that all the mechanical parameters of LRB have significant effect on the isolation ratio of the moment at the bottom of pier, and the parameters of LRB can adjust the seismic forces of the isolated piers whose height difference is less than 30 meters to be almost equal. This paper provides some valuable references for the further study of isolation design for railway bridges.
Study of Parameters Optimization on Seismic Isolated Railway Bridges
Authors: Zhong Tie Yi , Xia Chao Yi , Yang Feng Li
Published: February 2011

Based on optimization theories, considering soil-structure interaction and running safety, the optimal design model of the seismic isolation system with lead-rubber bearings (LRB) for a simply supported railway beam bridge is established by using the first order optimization method in ANSYS, which the parameters of the isolation bearing are taken as design variables and the maximum moments at the bottom of bridge piers are taken as objective functions. The optimal calculations are carried out under the excitation of three practical earthquake waves respectively. The research results show that the ratio of the stiffness after yielding to the stiffness before yielding has important effect on the structural seismic responses. Through the optimal analysis of isolated bridge system, the optimal design parameters of isolation bearing can be determined properly, and the seismic forces can be reduced maximally as meeting with the limits of relative displacement between pier top and beam, which provides efficient paths and beneficial references for dynamic optimization design of seismic isolated bridges.
A Small-World Model of Scale-Free Networks: Features and Verifications
Authors: Xiao Wen Jun , Jiang Shi Zhong , Chen Guan Rong
Published: February 2011

It is now well known that many large-sized complex networks obey a scale-free power-law vertex-degree distribution. Here, we show that when the vertex degrees of a large-sized network follow a scale-free power-law distribution with exponent  2, the number of degree-1 vertices, if nonzero, is of order N and the average degree is of order lower than log N, where N is the size of the network. Furthermore, we show that the number of degree-1 vertices is divisible by the least common multiple of , , . . ., , and l is less than log N, where l = < is the vertex-degree sequence of the network. The method we developed here relies only on a static condition, which can be easily verified, and we have verified it by a large number of real complex networks.
Simulations of Natural Vibration Characteristics of Large-Size Radial Gate with Three Arms Considering Fluid-Solid Coupling
Authors: Liu Ji Liang , Fang Xing , Wang Zheng Zhong , Sun Dan Xia
Published: February 2011

When orifice opening of flow under gate through spillways becomes large, large-size radial gates with three radial struts (arms) are normally recommended and have been used in various hydraulic engineering structures/projects. However, radial gates with three arms are easier to have operational failure caused by severe vibrations during opening and closing gate process than those with two arms. In this paper, a finite element numerical model was developed using ADINA software to simulate and analyze natural vibration characteristics of a radial gate with three arms at the Shuhe Hydropower Station using fluid-solid coupling theory. Simulation results of natural vibration characteristics for the gate were also developed without considering fluid-solid coupling. The model results indicate that fluid-solid coupling has remarkable effect on simulated natural vibration characteristics and can not be ignored. Simulated natural frequencies of the same mode are increased with the increase of openings, but the change amplitudes are not significant. This study provides useful information for structural dynamic design of large-size radial gates in order to avoid the natural frequency of radial gate close to the main pulsation frequency of water flow that may cause resonance.
The Working Principle of Multi-Layer Electromagnetic Screens and the Dynamics Analysis
Authors: Liu Wei Sheng , Zhang Jin Li
Published: February 2011

Introducing the structures of Multi-layer electromagnetic screens and elaborating the working principle of Multi-layer electromagnetic screens, we have carried on the computation to the related parameter in the foundation of dynamics analysis. The designing adopts the vibration modes and principles of the transmission, takes electro-magnetic vibrator as vibration source, encourages to drive four vibration shafts through the vibration transmission system at the same time, and eventually the materials are passed then sifted out the screen mesh. The products have small space occupation, the high vibration intensity, large capacity, easy to operate, stable performance, high efficiency, low power consumption, small dynamic and self cleaning sieves, etc.
Stability Analysis of Finite Element Method for Stokes Problem on Overlapping Non-Matching Grids
Authors: Deng Kang , Wang Qi Sheng
Published: February 2011

In this paper, the steady-state Stokes problem is discussed on a plane polygonal domain . We propose a finite element method on overlapping non-matching grids for the Stokes problem based on the partition of unity method. The construction and stability analysis of a global conforming finite element method are studied, and our results are valid for any spatial dimensions.
Generalized Projective Synchronization for a Class of Continuous Chaotic Systems
Authors: Zhou Ya Fei , Zhang Dong
Published: February 2011

In this paper, a generalized projective synchronization (GPS) scheme for a class of continuous chaotic systems is investigated by using only one sate variable and its time derivatives. The construction method of response system is proposed. The mathematical proof of the GPS scheme is provided. The synchronization technique is simple and theoretically rigorous. Finally, the corresponding numerical simulation results demonstrate the effectiveness of the proposed schemes.
Periodic Solutions for a Kind of Second Order Differential Equation with Multiple Delays
Authors: Tang Mei Lan , Liu Xin Ge
Published: February 2011

Based on Mawhin's continuation theorem and some analysis skill, some sufficient conditions for the existence of periodic solutions for a kind of second order differential equation with multiple deviating arguments are obtained. Results obtained in this paper extend the existing results.
Optimize Fundamental Matrix Estimation Based on RANSAC
Authors: Zhou Jun
Published: February 2011

Fundamental matrix estimation is a central problem in computer vision and forms the basis of tasks such as stereo imaging and structure from motion, and which is especially difficult since it is often based on correspondences that are spoilt by noise and outliers. The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation, primarily due to its ability to tolerate a tremendous fraction of outliers. In this article, we provide an approach for improve of RANSAC that has the benefit of offering fast and accurate RANSAC, and combine the M-estimation algorithm get the fundamental matrix. Experimental results are given that support the adopted approach and demonstrate the algorithm is a practical technique for fundamental matrix estimation.
A Maturity-Based Adaptive Ant Colony Optimization Algorithm
Authors: Wang Hai Ning , Sun Shou Qian , Liu Bo
Published: February 2011

In this paper, for the problems of low convergence rate and getting trapped in local optima easily, the average path similarity (APS) was proposed to present the optimization maturity by analyzing the relationship between parameters of local pheromone updating and global pheromone updating, as well as the optimizing capacity and convergence rate. Furthermore, the coefficients of pheromone updating adaptively were adjusted to improve the convergence rate and prevent the algorithm from getting stuck in local optima. The adaptive ACS has been applied to optimize several benchmark TSP instances. The solution quality and convergence rate of the algorithm were compared comprehensively with conventional ACS to verify the validity and the effectiveness.
An Effective Grid Resource Management Model Based on Cloud Computing Platform
Authors: Zhang Yue , Pei Yun Xia
Published: February 2011

Resource management model was presented based on cloud computing using virtualization technologies. According to this strategy, a resource scheduling model was designed. This strategy can really effectively improve resource utilization rate. This algorithm met the needs of cloud computing more than others for grid environment with shorter response time and better performance, which were proved by the simulation results in the Gridsim environment.
Generalized Refinable Function Vectors with Hermite Interpolating Property
Authors: Cheng Li Bo
Published: February 2011

Wavelet analysis has many applications in scientific areas such as computer graphics, image processing, numerical algorithms and signal denoising. In general, a wavelet is derived from a refinable function vector via a multiresolution analysis. In this paper, we presented a novel notion of generalized Hermite interpolating refinable function vector. In terms of its mask, several properties (such as interpolation property, symmetry property and approximation property) with respect to generalized Hermite interpolating refinable function vector. We shall present an example at the end of this paper.
A Review on Development Course of Formula for Roots of Equation
Authors: Ma Xing Hua , Yue Feng Tong , Yuan Shu Juan , Li Dong Mei
Published: February 2011

This essay starting with the origin of thought about equation, discusses the development course of radical formula for equation from simple to higher degree, introduces the derivation method of radical formula for cubic equation and quartic equation, and compares two methods of radical formula for quartic equation(Ferrali method and Descartes method). There is no general formula of root for equation of 5-th order or higher degree. Eventually, this essay expounds the development process of equation’s contributions to algebra field.
Acoustic Source Localization via Advanced TDoA for Self-Organization Wireless Sensor Networks
Authors: Li Xuan Ya , Ci Lin Lin , Ge Gen Yan , Li Da Wei
Published: February 2011

Wireless Sensor Networks (WSNs) enable susceptible sensing of the environment, offering unprecedented opportunities for observing the physical world. Acoustic source localization is an interesting topic with many possible application areas, such as intruder detection, sniper localization, automatic tracking of speakers and so on. Many existing algorithms are on the premise that the exact coordinates of sensor nodes are already known. In this paper, we propose a vector-based advanced TDoA algorithm that would calibrate the coordinate of the acoustic source by the non-prepositioned nodes. In the meanwhile, the portable sensor nodes would adjust themselves through the feedback of the estimated positions as well. Finally, we show that the proposed mechanism has high accuracy through experiments.
Improved Tikhonov Regularization Research and Applied in Inverse Problem
Authors: Peng Ya Mian , Wang Kai Li , Zhang Huan Cheng
Published: February 2011

The regularization which constructs with the first filter function is precisely the Tikhonov regularization. This article has proven the Tikhonov functional minimization problem is decides suitably, namely satisfies the solution the existence, the solution unique reconciliation to rely on continuously the data stability; and this minimization problem in solves the first class equation equally the normal equation. The numerical simulation experiment's result indicated that distinguishes the inverse with the regular reduction solution parameter to have the numerical precision to be high and the stability is good and convergence rate quick characteristic.
Research on a Single Camera Location Model and its Application
Authors: Liu Chun Feng , Kong Shan Shan , Wu Hai Ming
Published: February 2011

Digital cameras have been widely used in the areas of road transportation, railway transportation as well as security system. To address the position of digital camera in these fields this paper proposed a geometry calibration method based on feature point extraction of arbitrary target. Under the meaning of the questions, this paper first defines four kinds of coordinate system, that is the world coordinate system. The camera's optical center of the coordinate system is the camera coordinate system, using the same point in different coordinate system of the coordinate transformation to determine the relationship between world coordinate system and camera coordinate. And thus determine the camera's internal parameters and external parameters, available transformation matrix and translation vector indicated by the camera's internal parameters of the external parameters and the establishment of a single camera location model. According to the model, using the camera's external parameters to be on the target circle center point in the image plane coordinates.
Research and Application on the Fixation Task Model of the Doubled-Sight Digital Camera
Authors: Yang Ai Min , Zhang Wen Jun , Chen Huan Huan , Wu Hai Ming
Published: February 2011

According to the principle of the digital camera’s forming image, we measure the distance between the points on the target and digital camera respectively, then we construct the limited equation, and calculate the position relation between target and digital camera through this limited equation, then by using the coordinate’s transformation, we transform the coordinate which takes digital camera as original points into the coordinate which takes target as original points. After that step, we could fix the coordinate which compare to the target. Finally, we finish the fixation task of the doubled-sight digital camera.
Fuzzy Ideal of Hilbert Algebras in BCK-Algebras
Authors: Zhang Qiu Na , Jin Dian Chuan , Jiang Jun Na
Published: February 2011

In [1] it gives an ideal of Hilbert Algebras in BCK-algebras, as well as some propositions. So in this paper, we will give a fuzzy Ideal of Hilbert Algebras in BCK-algebras and it’s propositions.
Relationships between some Ideals of Hilbert Algebras in BCK-Algebras
Authors: Zhang Qiu Na , Mi Cui Lan , Yang Ai Min
Published: February 2011

The concept of ideals play an important role in Hilbert Algebras in BCK-algebras, so here we will give some relationships between ideal, fuzzy ideal, commutative fuzzy ideal and weak ideal.
Research on Network Security and Data Encryption
Authors: Duan Zhong Qi , Xue Xiao Feng
Published: February 2011

In the old days of the mainframe, information was centralized so security was not as big an issue. Nowadays, with the advent of information being distributed across many servers located in different areas, security is a major concern. Protecting the information is a high priority. A network with a good accounting and auditing system will ensure that all activities are logged, thereby enabling malicious activity to be detected.
A Smooth Flow of Traffic Circle Model
Authors: Ji Nan , Zhang Jie , Gao Yan
Published: February 2011

This article sets up mathematic model for the traffic circle to determine how best to control traffic flow. In order to make the traffic at the circle intersection smooth in maximum, this model figures out the largest traffic capacity through Wardrop’s formula. When the signal control is needed, a linkage time solving model is set up, which proves the number of seconds of every green light and work out the delay time. At last, the simulation software VISSIM is used for an example to work out the average delay time under the signal control. The result matches with this model.
Experimental Evaluation of the Seismic Performance of Circular Reinforced Concrete Bridge Columns
Authors: Zheng Gang , Li Gui Qian
Published: February 2011

Based on the basic requirements of current Guidelines for Seismic Design of Highway Bridges, the orthogonal quasi-static test of four factors (shear-span ratio, longitudinal reinforcement diameter, axial-load ratio and spiral reinforcement ratio) at three different levels for circular reinforced concrete bridge columns has been designed. With test data the damage state, displacement ductility, capacity of accumulative energy dissipation to ultimate displacement state of bridge columns subjected to low-cyclic loading have been analyzed systematically so as to investigate effects of factors such as shear-span ratio, axial-load ratio, longitudinal reinforcement ratio and spiral reinforcement ratio on ductility performance of bridge columns.
The Control of Stochastic Resonance by Harmonic Signal
Authors: Zhang Mei Li , Lin Min
Published: February 2011

The symmetry in a double-well potential of bistable systems subject to the action of a harmonic signal is broken. By variation of the amplitude of a harmonic signal, the asymmetry of bistable systems can be effectively controlled, the transitions probability between the two potential wells is increased and has influence on the effect of stochastic resonance in bistable systems. Numerical simulations show that adjusting the amplitude of a harmonic signal can produce stochastic resonance or make stochastic resonance more intense in bistable systems. It is a new method for stochastic resonance control.
Modal Analysis of Magnetic Suspended Control Moment Gyroscope
Authors: Zhao Wei , Zhao Li Bin , Zhang Jian Yu , Han Bang Cheng
Published: February 2011

3D finite element models of magnetic suspended control moment gyroscope structure are established by general finite element analysis software. Initial modal analysis scheme of the MS-CMG structure, in which the frame and gyro-chamber are analyzed separately, is described. A new modal analysis scheme that the MS-CMG is analyzed as a whole structure is presented. The connection between the gyro-chamber and frame is realized by defining a revolution pairs. The numerical predictions from two modal analysis schemes show obvious difference. The new scheme is more reliable since it simulates the real wok status of MS-CMG.
A Data-Driven Process for Estimating Nonlinear Material Models
Authors: Kou X.Y. , Tan S.T. , Lipson Hod
Published: February 2011

Driven by the wide range of new material properties offered by multi-material 3D printing, there is emerging need to create predictive material models for these materials. A data driven process for estimating nonlinear material model is presented in this paper. In contrast with classical methods which derive the engineering stress-strain relationship assuming constant cross-section area and fixed length of a specimen, the proposed approach takes full advantage of 3D geometry of the specimen to estimate the material models. Give a hypothetical material model, virtual tensile tests are performed using Finite Element Analysis (FEA) method, and the parameters of the material model are estimated by minimizing the discrepancies of the virtual responses and the experimental results. The detailed material models, numerical algorithms as well as the optimization approaches are presented and finally preliminary results are offered.
Robust Intrusion Detection Algorithm Based on K-Means and BP
Authors: Zhong Yang Jun , Zhang Shui Ping
Published: February 2011

Nowadays the traditional intrusion detection models have two disadvantages:low work efficiency and high false positive.Considering these disadvantages,this paper proposes a new intrusion detection method combining k-means clustering algorithm and BP neural network.The experimental results show that the improved intrusion detection model in this paper can save the calculation time significantly with same detection capabilities for the abnormal behavior.
Divergence Color Histogram for Content-Based Image Retrieval
Authors: Xia Shi Xiong , Zhou Hong Bing , Zhou Yong
Published: February 2011

Combined With the color and spatial partitions of image, this paper puts forward divergence to describe the dispersion information of pixels in each annular subset, and all those divergences of annular subsets constitute the divergence color histogram. It is invariant with translation and rotation, and suitable as a basic feature of image. Finally, simulation results show the improvement of the divergence color histogram over the spatial color histogram are: 16% (annular), 27% (angular)and 26% (hybrid), so the divergence color histogram has a significant better retrieval performance.
A Kind of Web Database Classification Based on Machine Learning
Authors: Zhou Xiao Qing , Tang Xiao Ping
Published: February 2011

The traditional search engine is unable to correct search for the magnanimous information in Deep Web hides. The Web database's classification is the key step which integrates with the Web database classification and retrieves. This article has proposed one kind of classification based on machine learning's web database. The experiment has indicated that after this taxonomic approach undergoes few sample training, it can achieve the very good classified effect, and along with training sample's increase, this classifier's performance maintains stable and the rate of accuracy and the recalling rate fluctuate in the very small scope.
Water Exit Dynamic Analysis of Underwater Vehicle
Authors: You Tian Qing , Zhang Jia Zhong , Wang Cong
Published: February 2011

The cavity, formed at the nose part of underwater launched vehicle due to the high launching velocity, will collapse while crossing water free surface and has a great impact on the strength of vehicle structure. In order to study the effect of the cavity collapse to vehicle structure, water exit dynamic analysis has been conducted. Before that, the computational model has been established. The external load, caused by cavity collapse, is assumed to be concentrated pulse forces applied on the vehicle at different time. And the flight vehicle structure is simplified into a free-free Timoshenko beam. The Fluid Structure Interaction (FSI) effect is treated as added mass and hydrodynamic drag force varying with wet surface area, which decreases with the water exit of vehicle. The dynamic response, excited by the external load, is calculated. Result presents the necessary of taking account of FSI and the influence of time space between the two concentrated forces.
Foreground Extraction Based on Dual-Camera System
Authors: Jue Li
Published: February 2011

This paper presents an automatic foreground segmentation algorithm for stereo image pair captured by a dual-camera system. Being different from the monocular image, binocular images contain the disparity map between the stereo image pair. For the disparity map is computationally expensive, our approach adopts the residual image with spatial displacement ( , ) to segment the initial trimap automatically. From the residual image, rough region of foreground is clustered as the initial trimap of GrabCut algorithm. Compared with a rectangular region, the calculated trimap is more accurate. After running GrabCut algorithm, the images are segmented into foreground and background layers that comprises of the front objects and back environment. Experimental segmentation results with the original images captured by the dual-camera system indicate that our approach is efficient and promising.
Positive Approximation for Positive Scattered Data
Authors: Zhang Xiao Lei , Wu Jin Ming
Published: February 2011

The curve and surface fitting problem is very important in CAD and CAGD. However, it is important to construct a suitable function to interpolate or approximate which satisfies the underlying constraints since we have some additional information that is confined to interpolation or approximation. In this paper, we discuss the positive approximation for positive scattered data of any dimensionality by using radial basis functions. The approach is presented to compute positive approximation by solving a quadratic optimization problem. Numerical experiments are provided to illustrate the proposed algorithm is flexible.
Novel Design for a Biomimetic Water-Jetting Propulsion Vehicle Actuated by SMA Wires
Authors: Wang Yang Wei , Wang Zhen Long , Li Jian , Gao Fei
Published: February 2011

An experimental biomimetic water-jetting propulsion vehicle for robot cuttlefish is presented. Firstly the cuttlefish swimming mode and mantle muscle structure is analyzed as the theory basis. Secondly the vehicle is designed and manufactured. The vehicle is actuated by SMA wires. Through rational structural design, it can achieve flexible water-jetting propulsion like cuttlefish mantle. Thirdly the geometrical model of the biomimetic mantle cross section is built. At last, the performance of the propulsion machine is tested by experiment. The experimental results are mainly about the response curves of the mantle outside diameter, the strain of SMA wire and the swimming displacement with time. The maximum contractive distance of the biomimetic mantle along the vertical direction is 6 mm, the maximum strain of SMA wire is -1.8 %. The maximum swimming speed is 45 mm/s.
Study on the Collective Effect of Industrial Clusters
Authors: Zhang Ci
Published: February 2011

Industrial clusters have emerged in many parts of China. But with the development of the cluster, some industrial cluster shows its unique cluster effect and lead to the development of local economy, while others die out. Based on the above, this article studies on the conditions of industrial cluster effect.
Application of Combination Evaluation for Academic Title Evaluation
Authors: Li Bao Feng , Qu Jing Guo , Hao Pu Yu
Published: February 2011

In this paper, using the relevant data of 34 teaching staffs who participate in the academic title evaluation of associate professor in 2010, firstly it introduces the entropy weight method, Topsis method with subjective weight, Topsis method with objective weight and double base points method with subjective weight to evaluate and sort the performance of 34 teaching staffs. Secondly, two combination evaluation models are constructed to do the same work and the conclusions are more science and rational.
The Research on the Stimulation of Particle Flow System Based on the Event-Driven
Authors: Fan Hai Yan
Published: February 2011

The particle system has unique advantages on the stimulation of the natural phenomena of rain, snow, flowing water and dust, physical phenomena and space warp. The paper discussed using the event-driven particle flow system to stimulate the fountain on the stimulation of fountain on particle system, in which there are disadvantages of by using the non-event-driven particle flow system and lacking of the effects of external factors such as resistance, gravity and the speed of wind. The event-driven particle flow system is made up of a series of events. Every particle flow emitted the particles that will experienced a series of events. In every event we can use operator to the effect of all the changes in particles. Among the tests in the events, the events are connected together. So we can stimulate the water jetting, falling, spray, ripple and the effect of disappear with the wind of the fountain. All these can prove that the event-driven particle system is necessary in producing the realistic scene.
Flutter Analysis of Compressor Blade Based on CFD/CSD
Authors: Cai Jin , Xu Qing Ze , Wang Zheng
Published: February 2011

Based on the CFD/CSD (Computational Fluid Dynamics / Computational Structural Dynamics) algorithm, flutter characteristic and fluid structure interaction (FSI) problems of turbomachinery blades were studied in present paper. The three-dimensional unsteady Navier-Stokes equations and three-dimensional structural model were solved by the finite volume method and the finite element method, respectively. High accuracy in calculation and data exchange were gained by using load transfer, deformation tracking and synchronization between two solvers. The procedure successfully simulated the aeroelastic responses of a high performance fan rotor, NASA Rotor 67, over a range of operational conditions, and the results were compared with the experiment. The results show that the flutter mechanics of the compressor blade could be illustrated based on mean pressure and the distribution of cycle work, which is helpful for the decision of compressor stability.
Design of Free-Form Surface Optic in Wide Field of View Off-Axis Optical System
Authors: Long You , Kang Ming Wu , Li Xiao Xia
Published: February 2011

Design of off-axis system is a hot and difficult topic in optical design area. The wide field of view(WFOV) off-axis system this paper involved always have the drawbacks of complicated large size and great weight. This paper introduces an application of free-form surface(FFS) in WFOV off-axis optical system design, analyzes FFS optics’ material and fabrication methods. The system uses one FFS lens and one doublet, image quality meets the design specification, and characterizes by simple structure and lightweight.