bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Paraffin Precipitation for Dalaoba Condensate Gas Reservoir
Authors: Wang Xi An , Mao Fei , Zhang Qi Min , He Jun Lian
Published: October 2011

High content of paraffin for condensate gas reservoir in Dalaoba and the precipitation of paraffin seriously affect the production and safety to bring about greater economic loss, therefore, it is necessary to develop the study on the precipitation of paraffin,deposition mechanism, variation discipline of phase state, prediction technology as well as the discipline for precipitation of paraffin of shaft.The paper establish the predication method on phase state simulation for paraffin precipitation. In order to better realize the site application, the predicted drawing version on paraffin precipitation of shaft is established to better predict the paraffin precipitation of shaft so as to provide the scientific basis for design on paraffin elimination and prevention on site as well as the construction and reasonable mining of condensate gas reservoir.
Triangulation Based on 3D Reconstruction Technique
Authors: Hou Zhen Jie , Gu Li Guo
Published: October 2011

For decades of research on triangulation, Scattered surface area triangulation has achieved some results, but a lot of algorithms extended to three-dimensional space still have some problems.In this paper I analyzes the existing algorithms and propose a idea based on the Combination of the incremental method and divide algorithm ,which directly realize the triangulation of scattered points in space. Through the triangulation of space scattered point ,it's result eventually meet the triangular mesh model of the reconstruction and the mesh is very uniform. The model reproduce the object model intuitively and clearly. This study provide meaning of the reference and guide in such a work
Development of Online Computer Supported Collaborative Work with Augmented Reality for Machine Assembly Training
Authors: Liu Yu Chuan , Cong Ming
Published: October 2011

This paper proposes an interactive augmented reality (AR) architecture for online computer supported collaborative work (CSCW). Current CSCW applications for AR are focused on multiple users met together to collaborate on the same physical environment. The proposed architecture can provide collaboration through computer network without the need of face-to-face communication. System architecture and operation scenario are firstly constructed. AR applications for machine assembly trainingis studied. The proposed interactive AR system architecture can provide new experiences for users and both the effectiveness and efficiency for online training applications can be significantly improved.
A Risk Evaluation Modeling upon Discontinuous Deformation Analysis and Hydraulic Computation for Aged Dam
Authors: Lin Hsueh Chun , Hong Yao Ming , Sung Wen Pei , Chen Ying Chih , Kan Yao Chiang
Published: October 2011

This study aims to generate a risk evaluation methodology for the aged dam structure by coupling the micro and macro models created by hydraulic computation and discontinuous deformation analysis (DDA) with numerical manifold method (NMM), respectively. For the macro analysis, DDA+NMM is an energy-convergence algorithm and can be utilized to estimate critical loading based on the potential joints existing within the discontinuous block system. Due to the micro view, the relationship of groundwater level and precipitation can be studied by using hydraulic computation based on the groundwater flow equations. The proposed method presents an evaluation procedure for modeling an aged earth dam with efficient and economic open-source programs. As the result, the simulation can help determining the criterion of risk factors and the prevention strategy.
A Knowledge Management System Integrating Collaborative Commerce for Product Development in Supply Chain
Authors: Chang Chung C.
Published: October 2011

Considering the rapid progress of information technology (IT) and volatility of the marketing environment, the past concept that enterprises run the whole show, has become insufficient in an environment so volatile, challenging and competitive, demonstrating the need of up and downstream supply chain cooperation to survive. Therefore, this research aims at the benefits and related functions of collaborative commerce concepts and knowledge management, constructing a system with the integration and application of collaborative commerce and knowledge management, and then explains the operation of this system through a system prototype, in hopes of proving the practicability of knowledge management and collaborative commerce integration, which will help enterprises gain better competitiveness.
Catastrophe-Based Antibody Clone Algorithm
Authors: Zhang Yu , Wu Li Hua , Luo Zi Qiang
Published: October 2011

In solving complex optimization problems, intelligent optimization algorithms such as immune algorithm show better advantages than traditional optimization algorithms. Most of these immune algorithms, however, have disadvantages in population diversity and preservation of elitist antibodies genes, which will lead to the degenerative phenomenon, the zigzag phenomenon, poor global optimization, and low convergence speed. By introducing the catastrophe factor into the ACAMHC algorithm, we propose a novel catastrophe-based antibody clone algorithm (CACA) to solve the above problems. CACA preserves elitist antibody genes through the vaccine library to improve its local search capability; it improves the antibody population diversity by gene mutation that mimics the catastrophe events to the natural world to enhance its global search capability. To expand the antibody search space, CACA will add some new random immigrant antibodies with a certain ratio. The convergence of CACA is theoretically proved. The experiments of CACA compared with the clone selection algorithm (ACAMHC) on some benchmark functions are carried out. The experimental results indicate that the performance of CACA is better than that of ACAMHC. The CACA algorithm provides new opportunities for solving previously intractable optimization problems.
Fault Prediction for Nonlinear Time Series Based on Temporal Pattern Estimation
Authors: Su Sheng Chao , Fan Xiao Lan
Published: October 2011

An on-line Least Square Support Vector Regression (LS-SVR) algorithm is given in this paper. Based on this algorithm the method of on-line fault prediction by temporal pattern estimation is proposed. The method needs neither the model to approximate the true system nor the fault training data and primary knowledge. It can study and predict while system’s running, and it is believed with fast speed, fewer amounts of calculation and better real-time capability. The result of simulation on CSTR proved the efficiency.
Study on the Band Gap and its Influencing Factors for one Dimensional Phononic Crystal
Authors: He Yu Yang , Jin Xiao Xiong
Published: October 2011

The width of band gap is calculated with lumped mass method in order to study the wave propagation of longitudinal and transverse elastic wave of one-dimensional phononic crystal. The starting and terminating frequency is analyzed by changing the filling rate, the density difference of two materials, cross-section height ratio, and the Young's modulus of the scatter.
Optimization of Temperature-Dependent Functionally Graded Material Based on Colonial Competitive Algorithm
Authors: Mozafari Hamid , Abdi Behzad , Amran Ayob
Published: October 2011

A functionally graded material is optimized for thermal buckling. The buckling problem is formulated where temperature-dependence constituents’ properties are included. Then the Colonial Competitive Algorithm (CCA) is used for optimization of critical thermal buckling load with variation thickness. The results CCA optimization is compared with third order shear deformation theory and another optimum method based on Genetic Algorithm (GA).
Research on Collimator Tube of some Aerocraft Control Test System
Authors: Chang Lei , Li Ling , Yan Jun
Published: October 2011

The collimator tube could be used to simulate the target of aerocraft at the test for a type of aerocraft control system, according to the general requirement of system test, this paper designs an optical system of collimator tube which can simulate the aerocraft target, and validate the quality of imaging.
Research on Conservative Mechanism Time Management in Maintenance Support Simulation
Authors: Zhang Wei , Qu Chang Zheng , Liu Jun Jie , Zhang Jian Rong
Published: October 2011

Time management is an important component of HLA while Time Advance Mechanism is RTI (Run-Time infrastructure)’s critical technology in implementing time management. One of Time Advance Mechanism is Conservative Time Advance Mechanism. The based premise of Conservative Time Advance Mechanism is that physics system can settle for Realizability and Predictability. But Equipment Maintenance Federate can’t predict the next event time in Maintenance Support Simulation because of infection from other federate. So maintenance support simulation results in deadliness error of RTI. The paper proposes a Federate TimeList method for improves Conservative Event-driven Time Advance Mechanism in HLA. In the end, an example of the maintenance support simulation is particular researched. It is shows that this strategy satisfies the maintenance support simulation effectively.
Study on Supply Chain Partner Selection Based on Support Vector Machine
Authors: Li Wen Bo
Published: October 2011

SVM is a novel machine learning technique developed on empirical risk minimization principle. SVM has many advantages in solving small sample size, nonlinear and high dimensional pattern recognition problem. Based on the study of SVM, this paper discusses its application in the supply chain partner selection that provides a reference for enterprise to select the partner.
Buckling Behavior of Optimal Laminated Composite Cylindrical Shells Subjected to Axial Compression and External Pressure
Authors: Abdi Behzad , Mozafari Hamid , Amran Ayob , Kohandel Roya , Alibeigloo Ali
Published: October 2011

In this study, the buckling behavior of optimum laminated composite cylindrical shells subjected to axial compression and external pressure are studied. The cylindrical shells are composed of multi orthotropic layers that the principal axis gets along with the shell axis (x). The number of layers and the fiber orientation of layers are selected as optimization design variables with the aim to find the optimal laminated composite cylindrical shells. The optimization procedure was formulated with the objective of finding the highest buckling pressure. The Genetic Algorithm (GA) and Imperialist Competitive Algorithm (ICA) are two optimization algorithms that are used in this optimization procedure and the results were compared. Also, the effect of materials properties on buckling behavior was analyzed and studied.
Supply Chain Coordination Based on Revenue-Sharing Contracts under Random Demand
Authors: Ma Rong Shuang , Ren Jin Yu , Hao Yong Ping
Published: October 2011

To a two-echelon supply chain system consisting of one manufacturer and one retailer under random demand, the game models about decentralized decision and centralized decision are constructed in which the manufacturer is the leader and the retailer is the follower. The retailer’s optimal purchasing strategies about two conditions above are given and the supply chain expected total profits under unique purchasing strategies of the retailer are compared with. Then the relations of supply chain expected total profit between with applying the revenue-sharing contracts situation and with the centralized decision situation are discussed. And the conditions to realize the supply chain perfect coordinating are defined. Finally, numerical analysis shows that applying the revenue-sharing contract in the decentralized supply chain could not only achieve the maximal overall expected performance but also allow both parties to benefit from it.
The Modeling Research on the Cost of 3PL Transportation Based on System Dynamics
Authors: Chai Tian Zi , Tong Meng Wei
Published: October 2011

In this paper, we analyse the structure of third-party logistics cost. We specially analyzes influence factor of transportation cost which account for 1/3 to 2/3 of the third-party logistics from the view of system dynamics. We establish the system dynamics model of transportation cost, and further more, we give the Vensim equations and explanation for it.
Tra-DBScan: A Algorithm of Clustering Trajectories
Authors: Liu Liang Xu , Song Jia Tao , Guan Bo , Wu Zhao Xiao , He Ke Jia
Published: October 2011

Accompany with fast development of location technology, more and more trajectories datasets are collected on the real applications. So it is something of value in the theory and applied research to mine the clusters from these datasets. In this paper, a trajectory clustering algorithm, called Density-Based Spatial Clustering of Application with noise (Tra-DBSCAN for short), based on DBSCAN that is a classic clustering algorithm. In this framework, each trajectory firstly partitions into sub-trajectories as clustering object, and then line hausdorff distance is used to measure the distance between two sub-trajectories. Next, DBSCAN is introduced to cluster sub-trajectory to form cluster area, and then connecting different moments of clustering area is regarded as trajectory movement patterns. Finally, the experimental results show our framework’s effective.
Synthesis and Recycle of ZnO Particles for Degradation of Methyl Orange Aqueous Solution
Authors: Wang Li Qin , Yang Xiang Ni , Zhao Xiu Li , Han Yang , Zhang Rui Jun , Yang Yu Lin
Published: October 2011

The ZnO particles with mesoporous and lamellar structure were synthesized in the method of precipitation, using zinc acetate as precursor. The ZnO particles were characterized by the means of scanning electron microscopy (SEM), X-ray powder diffraction (XRD) and N2 adsorption–desorption measurements. The photoactivity of as-prepared ZnO particles was evaluated by degradation experiment of methyl orange aqueous solution. The results showed the obtained ZnO particles were irregular polygons with lamellar structure, and the particle size was in the range of 50 nm to 300 nm. According to XRD and N2 absorption results, ZnO particles were pure and integrated crystals with high crystallinity, and adsorption-desorption isotherms correspond to the typical type IV isotherm with a hysteresis loop of type H3, which showed ZnO particles had mesoporous structure with slit pore shape. The ZnO particles had high photocatalytic activity, the maximum degradation rate of methyl orange aqueous solution can reach 99%. When reused for the fifth time, the photocatalytic activity of ZnO particles was similar with the fresh ones, and recycled for the tenth time, the degradation rate of methyl orange aqueous solution still standed by 84.7%.
3D Face Recognition Based on Local Curvature Feature Matching
Authors: Sheng Dao Qing , Chen Guo Yue , Saruta Kazuki , Terata Yuki
Published: October 2011

In this paper, an approach based on local curvature feature matching for 3D face recognition is proposed. K-L transformation is employed to adjust coordinate system and coarsely align 3D point cloud. Based on B-splines approximation, 3D facial surface reconstruction is implemented. Through analyzing curvature features of the fitted surface, local rigid facial patches are extracted. According to the extracted local patches, feature vectors are constructed to execute final recognition. Experimental results demonstrate high performance of the presented method and also show that the method is fairly effective for 3D face recognition.
A Skin Detection Algorithm Based on Bayes Decision in the YCbCr Color Space
Authors: Cao Xin Yan , Liu Hong Fei
Published: October 2011

Skin color detection is a hot research of computer vision, pattern identification and human-computer interaction. Skin region is one of the most important features to detect the face and hand pictures. For detecting the skin images effectively, a skin color classification technique that employs Bayesian decision with color statistics data has been presented. In this paper, we have provided the description, comparison and evaluation results of popular methods for skin modeling and detection. A Bayesian approach to skin color classification was presented. The statistics of skin color distribution were obtained in YCbCr color space. Using the Bayes decision rule for minimum cot, the amount of false detection and false dismissal could be controlled by adjusting the threshold value. The results showed that this approach could effectively identify skin color pixels and provide good coverage of all human races, and this technique is capable of segmenting the hands and face quite effectively. The algorithm allows the flexibility of incorporating additional techniques to enhance the results.
Coloration of Stainless Steel Utilizing Fiber Laser Oxidation
Authors: Chang Chin Lung , Wu Jyun Wei , Lee Chia Yen
Published: October 2011

This paper presents a novel technique for coloring stainless steel utilizing a fiber laser. This study develops a processing technology that uses a fiber laser as a laser marking tool, and varies processing parameters such as pre-surface-processing conditions, stainless steel type, line distance, laser power, engraving speed, and laser pulse frequencies to achieve different results. This study investigates the results of the stainless workpiece coloring using optical microscope (OM). This study shows that polished stainless steel 316 exhibits the best engraving effect. With this material, the line distance, laser power, engraving speed, and pulse frequency of the laser change the oxidation thickness. The color of the processed workpiece also changes as the oxidation thickness changes due to the interference caused by the different thicknesses of the oxidation layers. Results prove that fiber laser processing of stainless steel is a promising and efficient technique for coloring stainless steel.
Ground Motion of Two Scalene Triangle Hills and a Semi-Cylindrical Canyon under Incident SH-Waves
Authors: Yang Zai Lin , Xu Hua Nan
Published: October 2011

The scattering of SH-waves by two scalene triangle hills and a semi-cylindrical canyon was surveyed here using the methods of wave function expansion, complex function and multi-polar coordinates. Based on “division”, we divided the analytical model into 3 parts, and constructed displacement solutions of wave fields that meet the boundary conditions in the three regions, respectively. The three domains were then conjoined to satisfy the “conjunction” condition to deduce a series of infinite algebraic equations about the problem combined with the boundary condition of semi-cylindrical canyon. Lastly, numerical examples were presented to investigate the influence of different parameters on the ground motion of the hills and the canyon.
Inelastic Displacement Spectra for Displacement-Based Seismic Design of High-Speed Railway Bridge Pier
Authors: Chen Ling Kun , Jiang Li Zhong
Published: October 2011

The inelastic displacement spectra is established based on the elastic displacement spectra and the strength reduction factor, the calculation process of Displacement-Based Seismic Design is presented in this paper, the seismic design of high-speed railway bridge piers is conducted to verified the method. The calculation results show that, at the same performance target, the pier height is taller, the cross-section is bigger; at the same pier height, the performance target is higher, the cross-section of pier is bigger; the reinforcement ratio with the different pier height and performance target are the lower limit of calculation value, it mean that the lateral reinforcement ratio of piers can just meet the detailing requirements.
The Research of Vehicle Handling Stability Based on ADAMS
Authors: Zhao Qiu Fang , He Tao , Xu Wen Juan , Liu Zhi Qiang
Published: October 2011

With the demand for the high performance, the vehicle handling stability is more and more attractive and becomes one main service performance of modern car. At the same time, traditional calculation method can not meet the requirement of modern automobile research on the analysis of varied performances. The virtual simulation software increases greatly and it is possible to do the vehicle simulation trial. In this paper, a vehicle model of 10-DOF is built by using the dynamics simulation software ADAMS. Through the dynamic simulation test, the vehicle handling stability is studied with emphasis when the S.M. (Static Margin) is positive,zero or negative.The result is a reference in design of the vehicle, so the purpose of saving test funds and shortening design time is achieved.
Application of Virtual Prototyping Technology in the Design of Drive Axle
Authors: Zhao Qiu Fang , Jiao Man Dun , Xing Jian Qiang
Published: October 2011

In this paper, a virtual prototype model of the nonlinear vibration system is built by using the ADAMS(Automatic Dynamic Analysis of Mechanical Systems), and the simulation process of the hydro-pneumatic suspension is presented. A simulation analysis of the drive axle is done with road unevenness. The result shows that it is more important to consider the nonlinear damping than the nonlinear stiffness in the analysis of a nonlinear structure with a random response sometimes.
Simulation and Analysis for Aerodynamic Characteristics of Flying Object Based on Canard
Authors: Qin Jie , Wang Xiao Yan
Published: October 2011

Change the aerodynamic characteristics of the flying object by controlling the canard deflection and achieve ballistic correction of the flying object. Select different angles of attack to simulate and analyze the changes on aerodynamic performance of the flying object at different flight speed. Study the variation regularity and influence factors of aerodynamic characteristics with the deflection angle and the area of the canard as characteristic parameters.
Special-Shaped Carton Visual CAD Research Based on Components
Authors: Li Ruo Lei , Duan Zhi Jian , Ma Chao
Published: October 2011

With the great development of commodity economy, the packaging of goods has become an extremely important factor to get the advantages in the market competition. As to paper packaging, people are taking more and more attention on the design of Special-shaped Cartons.Limited by the three-dimensional way of paper, the carton CAD/CAM systems generally use the design process of "carton shape chose from the carton library →parameters set and modified →the 3D model established following the existing way", development for new carton shapes are still depended on the folding-test by the designer's hand. Design of the Carton Planar Structure usually has a time distance with Design of the Carton 3D Model, as a results, inconvenience to Special-shaped Carton designing was caused, and designers can not express their design ideas quickly and effectively.
A Note on “A Genetic Algorithm for the Preemptive and Non-Preemptive Multi-Mode Resource-Constrained Project Scheduling Problem
Authors: Han Yi , Cai Jian Hu , Kaku Ikou , Lin Hua Zhen , Ye Xu Hong , Guo Hai Dong
Published: October 2011

Peteghem et al. [1] considered resource-constrained project scheduling problem (RCPSP) with preemptive activities. However, some points should be made clear. How and when an activity is divided? How many parts an activity should be splitted? Whether the preemptive-based scenario is correctly performed to further improve the total makespan of a project? The first two questions are not very clearly presented. As for the last question, the answer is “no exactly” after careful examination..
An Improved Short-Term Load Forecasting Method of Warship
Authors: Li Dong Liang , Zhang Xiao Feng , Qiao Ming Zhong , Cheng Gang
Published: October 2011

The power load characteristics of warship on a specific task was analyzed,and a task-based forecasting method for warship short-term load forecasting was presented. the new influencing factors of warship power load were used in modeling which is different with the land grid and civilian vessels grid. Theory of particle swarm optimization and Support vector machine was disscused first, and the method of particle swarm optimization was improved to have the ability of adaptive parameter optimization. and the method of support vector machine was improved by the adaptive PSO optimizational method. then a new adaptive short-term load forecasting model was established by the adaptive PSO-SVM method. finally Through simulation results show that the adaptive PSO-SVM method is highly feasible to predict with high accuracy and high generalization capability.
Research on the Repetitive Control Technique in Gird-Side Converter of the Double-Fed Wind Power System
Authors: Hu Shi Zhong , Zheng En Rang
Published: October 2011

With the unit capacity of the wind turbine is increasing, analyzing, suppressing of gird harmonic and reducing the grid harmonic pollution by the wind turbine have become one of the issues of common concern. For the characteristic of the grid voltage harmonic components which is the interference source with the fixed period, the repetitive control theory was adopted to design the gird-side converter, and the traditional control strategy of the voltage current double closed-loop was compared with the repetitive control. Harmonic suppression characteristics were studied in the paper. Finally, Matlab-Simulink simulation software established a repetitive controller simulation model of the gird-side converter controller, simulation results showed the correctness and feasibility of suppression for the periodic harmonic by the repetitive control strategy.
Two Balanced Car LQR Algorithm Achieved Based on LabVIEW
Authors: Sun Jun , Liu Hai Zhe
Published: October 2011

Constructed of high-order, multi-variable mathematical model of two balanced car, and using LQR algorithm relies on the powerful LabVIEW Control Toolkit, through continuously adjust the weighting matrix Q and R, designed the optimal secondary controller,it is better to balance the system robust stability and reaction fast, and by drawing out of the system output response curve, verify the correctness and the effectiveness of the controller.
Preparation of Metallic Cobalt Nanoparticles by the Thermal Decomposition of CoC2O4. 2H2O Precursor in the Argon Gas
Authors: Fu Xiao Ming
Published: October 2011

Metallic cobalt nanoparticles are successfully obtained by the pyrolytic decomposition of CoC2O4. 2H2O in the argon gas. The pyrolysates of CoC2O4. 2H2O were investigated by TG-DSC and SEM. The results showed that there are two stages in the process of the pyrolytic decomposition of CoC2O4. 2H2O in the argon gas. The crystal water in CoC2O4. 2H2O was lost from 150 °C to 275 °C. CoC2O4was pyrolysized into metallic cobalt powder from 300 °C to 500 °C. At the same time, the pattern of pyolysate of CoC2O4. 2H2O was fined at 347.7 °C for 10 min. But, the particles of pyolysate of CoC2O4. 2H2O were sintered into cobalt blocks at 500.0 °C for 10 min. Therefore, the conditions of pyrolytic decomposition of CoC2O4. 2H2O were controlled if single cobalt powder was obtained at 500.0 °C..
The Application Research on Image Fusion Technology in Tires Sorting Control
Authors: Liu Chun Qun , Chen Le Geng , Li Jin Fu
Published: October 2011

In the basis of image processing, the tire sorting technology adopts the fusion method of combining undecimated lifting wavelet transform; and fusion rules based on pixels for tires image fusion processing, which obtains ideal fusion results. The experimental results show that this method has effectiveness and superiority for tires image fusion processing in tires sorting control and meets the demand of increasing operation speed in the real-time control system.
The Fault Diagnosis of Automotive Airbag Assembly Process Based on Self-Organizing Feature Mapping Network SOM
Authors: Zhang De Jiang , Zhang Niao Na , Liu Ke Wei
Published: October 2011

Automotive airbag assembly process is complex and nonlinear, and one of its characteristics is that the accuracy of making the threshold comparison for fault diagnosis using field multi-sensor measured value is not high,. In this article, adopt self-organizing feature mapping network SOM to realize the fault diagnosis of automotive airbag assembly process, constitute the field function of SOM through wavelet functions, form sub-excitatory neuron to update weights, avoid SOM local optimum, so improve the accuracy of fault diagnosis of automotive airbag assembly process.
Finite Element Analysis of the Screen Box of the Combined Vibrating Screen Based on ANSYS
Authors: Guo Nian Qin , Liu Wei , Huang Wei Ping
Published: October 2011

The finite element model of the combined vibrating screen was established by using ANSYS. Modal characteristic analysis and static analysis on the whole unit of screen box were done, and natural frequencies and modal shapes in the top 15 orders were obtained, distribution regularities of stress and deformation of each part of the screen box under the static load were revealed, providing the necessary basis for the improvement design and research on screen box.
Automobile Panel Reverse Engineering Design Based on NURBS Surface Reconstruction Technique
Authors: Zhang Hong Yuan , He Peng
Published: October 2011

This paper takes automobile panel as the study object, and adopts non-contact 3-D scanner to obtain the point cloud data of the automobile panel for point cloud data sampling and noise reduction processing. It obtains NURBS surface fitting through detecting of curvature and grid. Reverse design can improve the product prototype in a fast speed and provide an important way of automobile panel development.
Design and Implementation of H.264/SVC Decoder Forecast Module on ASIC
Authors: Chen Xi , Wu Zong Ze , Xie Sheng Li , Liu Jin Hai
Published: October 2011

An ASIC front-end design of intra and inter prediction module based on H.264/SVC standard is proposed in this paper. State machine is used in intra prediction module for timing control. A branch reusable unit ADDR3221 is constructed and optimized to implement the intra prediction in RTL-level. In inter prediction module, the three-level MUX is used to realize the level control from the frame-level to block-level. According to the different segmentation of luma and chroma, the computation of the motion vector and interpolation is realized. Simulation and optimization are performed on the EDA tool of Synopsys platform. Experimental results show that the design of the H.264/SVC forecast module fulfills functional integrity, and the power and the area meet the requirement of design constraint.
Design and Simulation of High Altitude Air-Launched Automatic Underwater Vehicles
Authors: Pan Chang Jun , Guo Ying Qing
Published: October 2011

In this paper, an high altitude air-launched automatic underwater vehicles (AL-AUV) is designed based on the traditional torpedo-like AUV, REMUS. And an additional ex-range gliding wings unit is assembled on the top of AUV, which enable the AUV to be dropped at high altitude and gliding long distance to reach the signed investigating ocean field. The controllable surface on the wings also enhanced the controllability and flexibility of AUV gliding through the air and the ability against the influence of airflow interference. The AUV’s six DOF gliding model is established and a simulation system of AL-AUV is built with Matlab/Simulink. Analyzing the recorded simulation velocity and pitch characteristics of AL-AUV deployed at varying initial velocities and wing area, the optimized wing is selected.
NIR Detection of Alcohol Content Based on GA-PLS
Authors: Bao Yan Fei , Wang Xiao Fei , Liu Gui Li , Li Gang , Lin Ling
Published: October 2011

Alcohol content is an important indicator of many products, rapid and accurate analysis is the key link of commodity inspection and productive process. Study using NIRS model to detect alcohol content of wine, adopted genetic algorithm partial least-squares (GA-PLS) method to analyze the near-infrared spectroscopy (NIRS) characteristic wavelengths of alcohol content, the best NIR GA-PLS model is established. Experiment find GA-PLS can flexible and effective select out the characteristic wavelengths, can not only get rid of the useless information wavelengths, but also improve model’s predicted precision, therefore, the predicted precision of GA-PLS model superior to PLS model established with global spectrum. The best predicted effect is obtained when 133 wavelengths with higher selected frequency join modeling, its root mean square error of prediction (RMSEP) is 0.0066 and correlation coefficient of prediction (RP) is 0.9996. The results show, NIRS combined with GA-PLS method can detect alcohol content of wine rapidly and accurately, expected to achieve rapid detection of alcohol content online.
Research on Scene Matching Algorithm in the Vision-Aided Navigation System
Authors: Du Ya Ling
Published: October 2011

the maching algorithm in the vision-aided navigation system must be real-time, high-precision and suitable for matching different images with some scaling and rotation. This paper proposed three algorithms based on SURF, SIFT and ASIFT features. The SURF algorithm is the better method than the SIFT and ASIFT in theory, because the use of integral image and basic Hessian-matrix approximation has greatly reduce the computational complexity. The experimental results show that the three algorithms can obtain similar detecting and matching performance, but the SIFT and ASIFT need too much time to realize real time. So, the SURF is more suitable for scene matching in the vision-aided navigation system.
Research on the Suppression of Input Power Disturbance for Single-Phase Photovoltaic Grid-Connected Inverter
Authors: Chen Kai , Tian Shu Lin , Cheng Yu Hua
Published: October 2011

The output power of single-phase PV inverter is AC and the input power is DC，so there exists fluctuations in the power transmission. Generally, the fluctuations can be removed by using coupling capacitors. However, the voltage fluctuations of coupling capacitors will result in corresponding input power fluctuations, and will affect the maximum power tracking of the system. In this paper, the power transfer process is analysised, and a theoretical derivation to voltage fluctuations of the generatrix capacitor and the impact on the input currents is designed.The corresponding correction control algorithm of subdivision control is developed according to its characteristics. The feasibility of the solution is verified by the 3KW experimental prototype.
Robust Adaptive Control Based on Specified Region Pole Assignment for Flexible Hypersonic Vehicle
Authors: Feng Zhi Gao
Published: October 2011

This paper describes a robust adaptive controller based on specified region pole assignment for flexible hypersonic vehicle. The dynamic model of air-breathing hypersonic vehicle retains features including flexible effects, non-minimum phase behavior, model uncertainties, and strong couplings between flight dynamic and engine. To track velocity and altitude commands, robust controller based on specified region pole assignment is used to make unstable modes of open-loop system stable and guarantee dynamic performance of attitude. Meanwhile adaptive controller is proposed to solve tracking problems when existing control failures or saturation. The simulation results demonstrate that the proposed controller achieves excellent dynamic performance while the engine operates normally.
The Algorithm of VLBI Wide-Band Correlation and CE-2 Broadband Signal Processing
Authors: Wang Mei , Tang Ge Shi , Luo Xin Min , Chen Lue , Liu Lei
Published: October 2011

In this paper, firstly, we discuss the specific processing algorithm of wide-band VLBI signal，which can be used in astronomy and geodesy. We focus on the theory, algorithm, result and by simulation we verified it. When the Chang’E Ⅱ on its orbit, we organize a short baseline interferometer experiment and get correlation fringe successfully, meanwhile, we compare the result with the data of precise theoretical orbit. It proves that the system is successful, and the algorithm is useful and correct.
ADAMS-Based Double Wishbone Suspension Motion Simulation and Optimization
Authors: Liang Ji Hui , Xin Li Li
Published: October 2011

It uses ADAMS software to establish the double wishbone suspension kinematics analysis model to analyze the rules of front wheel alignment parameter changing with wheel run-out and evaluate the rationality of the suspension system data. For the problem of too much side slippage and serious abrasion of front wheel of suspension, it carries out optimization computing for the suspension based on the target of minimizing the front wheel side slippage during wheel run-out. And the optimization result improves the suspension system performance in a certain extent.
Type II Sleep Mode Operation for IEEE 802.16e Based WiMAX
Authors: Xue Jian Bin , Li Song Bai , Zhang Ting , Wang Wen Hua
Published: October 2011

To overcome the flaw of energy efficiency drop in broad band wireless communication with the short time sleep, the energy-saving mechanism of the sleep mode operation was researched in IEEE 802.16e. In this paper we propose a dynamic algorithm to tune the ratio of the sleep windows and receive windows according to the traffic load. Then, a Markov chain model was set up to analyze the energy efficiency and mean access delay. NS2 simulation results show that the proposed algorithm can achieve marked gain in energy efficiency compared to the traditional energy saving mechanism.
Research on Nonlinear Stiffness Characteristics of Hydro-Pneumatic Spring
Authors: Zhang Jun Wei , Chen Si Zhong , Yang Lin
Published: October 2011

A kind of hydro-pneumatic spring with adjustable stiffness was designed. The two-level stiffness converse each other when oil pressure reach a certain value. A complex nonlinear mathematic model of hydro-pneumatic spring was set up on the basis of comprehensive analysis of it s working principle and structure. Simulation results comparison and theoretical analysis with the test data of bench test showed that the mathematic model is authentic.
An Imaging Processing Method for Linear Array ISAR Based on Image Entropy
Authors: Gao Qiang , Wei Xin , Wang Zhen Nan , Na Dan Tong
Published: October 2011

An imaging processing method for the linear array antenna ISAR (LAA ISAR) was concerned in this paper. Range-Doppler algorithm was adopted to realize the image of each echo first; then the cross-correlation method was used for rough registration. On the basis of it, the method based on image entropy was used for precise registration. Simulations based on this method showed that the image registration was realized finely, and the target resolution was enhanced effectively.
Blind Separability of Reverberation and Target Echo Based on Spatial Correlation
Authors: Li Xiu Kun , Wang Qi Yong
Published: October 2011

The detection of buried targets in shallow water is a tough task in the presence of sea-bottom reverberation. Because both target echo and reverberation are caused by the transmitted signal, they are mixed together in both time domain and frequency domain, which makes traditional signal processing methods inefficient. Blind Source Separation (BSS) is expected to isolate the reverberation from the target echo. However, the feasibility should be proved before separation. In this paper, a method based on spatial correlation is proposed to determine whether reverberation and target echo can be separated as different sources. Then, considering the nonstationarity of the reverberation, SONS (Second Order Nonstationary Source Separation) is applied to separate the original received signals. The sea experiment result shows that BSS is not only feasible but also valid to separate target echo and reverberation, and the target echo after BSS is of higher SRR which makes further process more credible.
Algorithm Study of Face Recognition on Improved 2DLDA
Authors: Li Shi Ping , Cheng Yu , Liu Hui Bin , Mu Lin
Published: October 2011

Linear Discriminant Analysis (LDA) [1] is a well-known method for face recognition in feature extraction and dimension reduction. To solve the “small sample” effect of LDA, Two-Dimensional Linear Discriminant Analysis (2DLDA) [2] has been used for face recognition recently，but its could hardly take use of the relationship between the adjacent scatter matrix. In this paper, I improved the between-class scatter matrix, proposed paired-class scatter matrix for face representation and recognition. In this new method, a paired between-class scatter matrix distance metric is used to measure the distance between random paired between-class scatter matrix. To test this new method, ORL face database is used and the results show that the paired between-class scatter matrix based 2DLDA method （N2DLDA） outperforms the 2DLDA method and achieves higher classification accuracy than the 2DLDA algorithm.
An Application Study to the Ciphers Weighed in Faithful Transmission
Authors: Luo Lan , Dai Qiong Hai , Xu Chun Xiang , Jiang Shao Quan
Published: October 2011

The cipher algorithms are categorized by block cipher, stream cipher and HASH, and they are weighed in faithful transmission which is known as independent condition. In faithful transmission, the ciphers are studied because of their root cipher. Intelligent application of ciphers is a direction that uses Bayesian model of cognition science. Bayesian inference is a rational engine for solving such problems within a probabilistic framework, and consequently is the heart of most probabilistic models of weighing the ciphers. The approach of this paper is that ciphers, which are considered as a suitable weight cipher to kinds of networks, are ranged based on root ciphers. This paper shows the other kinds of transformation among the different cipher algorithms themselves.
On-Line Oil Monitoring Sensors Fusion for Aircraft Health Management
Authors: Wang Yan Shan , Zhang Mei Ju , Liu De Feng
Published: October 2011

Monitoring oil quality on-line has become an important issue in today’s military, transportation and manufacturing industries. Although laboratory analysis procedures are comprehensive and detailed, they do not provide the timely information about oil for the aircraft health management. Condition monitoring is a preventive maintenance tool which has been used for over 50 years. In this paper we discuss several aircraft oil analysis methods and instruments or sensors. A new methodology of the aircraft oil health management is presented. It can assist realizing autonomous maintenance and dramatically reduce maintenance costs through the data integration from individual oil monitoring sensors. It offers a more comprehensive figure of the whole situation and a more accurate evaluation of the system condition. Therefore the aircraft safety will be greatly improved.
A Hybrid Intelligent Excitation Control for Ship Power Station
Authors: Shen Zhi Peng , Guo Chen , Wang Yu Ting
Published: October 2011

Hybrid intelligent control technique is used for ship power station synchronous generator excitation control in this paper. The parameters and structure of the excitation controller are learned and adjusted through a hybrid learning algorithm combining self-organizing learning with BP learning. This algorithm converges much faster than original BP learning. Simulation results show that the synchronous generator excitation controller based on the learning algorithm can significantly stabilize terminal voltage.
Application of Arithmetic Operations Method in Single Pair-Pole Magnetic Encoder
Authors: Zeng Yi Fan , Li Rui
Published: October 2011

This paper proposes a novel method called arithmetic operations to analyze and process the generated voltage-signal from the single pair-pole magnetic encoder. Dual orthogonal voltage-signals are generated by two vertical hall sensors which are placed in the bottom of a columned magnet. When signals pass A/D converter, the quadrant determination, arithmetic operations and nonlinear correction in FPGA chip are performed before the values of rotational angle are displayed on the LED. This paper also designs and implements the single pair-pole magnetic encoder which has advantages such as high-speed, high-resolution and high-accuracy in the area of angle measurement.
Localization Algorithm Based on DV-HOP for Wireless Sensor Network
Authors: Hu Yu , Li Xue Mei
Published: October 2011

An improved DV-HOP localization algorithm is proposed in the paper, aiming at the traditional DV-HOP localization algorithm. The improved algorithm introduces threshold M, it uses the weighted average hop distances of anchor nodes within M hops to calculate the average hop distance of unknown nodes. In addition, the positioning results are corrected in the improved algorithm. The simulation results show that the improved localization algorithm effectively improves the positioning accuracy compared with the traditional DV-HOP localization algorithm, it is an effective localization algorithm for the wireless sensor networks.
A Density Functional Study of Ho-Doped Sin (n=1-12, 16, and 18) Clusters
Authors: Liu Zong Lin , Yuan Hong Kuan , Chen Hong
Published: October 2011

The geometric, electronic, and magnetic properties of Ho-doped Sin (n=1-12, 16, and 18) clusters are studied via the density functional theory with the generalized gradient approximation. The results show that the Ho atom in the most stable HoSin clusters always occupies the surface site. Starting from n=18, the Ho atom abruptly drops into the center of Si frame, forming the Ho-encapsulated Si cages. The stabilities of HoSin clusters increase with increasing size n. The Ho atom in HoSin clusters enhances their chemical activities. Moreover, the magnetisms of HoSin clusters are independent of their geometric structures, and the Si and Ho atoms are antiferromagnetic.
Two-Dimensional Irregular Packing Algorithm for Strips Cutting Technology in Sheet Steel Industry
Authors: Pan Miao Xin
Published: October 2011

This paper proposes a new packing algorithm for strips cutting method in steel plate cutting technology. It remarks the shapes by many horizontal lines. It firstly searches the best sequence and each shape’s angle for packing all shapes by genetic simulated annealing algorithm, and then a new heuristic algorithm which satisfies the practical need of strips cutting technology based on the bottom-left algorithm is used to complete the automatic layout of two dimensional irregular shapes. In the end, satisfactory results of optimal layout are obtained.
Analysis of Dispersion Characteristic of Microstrip Lines on Ferrite and Silicon Structures with Spectral-Domain Method
Authors: Yang Hong , Chen Zhe Yu , Lv Kun Yi
Published: October 2011

In this paper, we presented two types of ferrite&si double layer substrate microstrip lines structures and derived waveguide admittance through coordinate rotation and Fourier transformation of Maxwell equations, then we analyzed its characteristics. We performed dispersion characteristic calculations on microstrip lines, discussed influence of various parameters of microstrip lines on dispersion characteristics and compared their characteristics, then we discovered parameters influence on one specific type of structure dispersion is minimum, especially on technique dimension of dielectric. It can make applications for IC fabrication.
Study on Parametric Design of ITER Cryostat Based on CATIA
Authors: Ge Jian , Zhao Han , Zhang Ye , Zhang Yi
Published: October 2011

Cryostat is an important equipment of International Thermonuclear Experimental Reactor (ITER).It is the outer part of ITER Tokamak. There are three issues to solve the parametric design of cryostat: First, the parametric description of cryostat model; Second, program design; Third, the establishment of Database. In this paper, take a simplified model of the cryostat as an example, after the parametric description of cryostat finished, the parametric design of cryostat has realized through ACCESS Database and the automation technology of the secondary development of CATIA under VB (Visual Basic).