bluuebunny/crossref_metadata_2025 huggingface dataset:
The Improvement of Several Power Units of 24 Multi-Station Pen Machine
Authors: Jiang Lei , Zhou Yang , Yang Chong Chang
Published: May 2014

Introduces the development of several power units of 24 multi-station pen machine, which include the contracting pipe power unit, the power unit of hitting three points, and the blanking power unit, analyzes the performance, structure and features of these power units.
Design of the Ka-Band Satellite Antenna by Parallel Differential Evolution
Authors: Guo Jin Cui , Liu Xiao Qiu , Zhang Wei , He Bin Quan
Published: May 2014

This paper designs a Ka-Band satellite antenna using parallel differential evolution (DE). The antenna is of wide beam-width and left hand circular polarization (LHCP). The electromagnetic numerical value is calculated by the improved software NEC2 based on the method of moments. The parallel differential evolution computing platform consists of some computers and MPI is used as the messaging protocol among computers. The single-arm Ka-Band antenna with 8-segments designed in this method has obtained very good performance including gains, axial ratios and VSWRs in a shorter period.
Prediction and Control the Vibration of Deep Hole Processing System
Authors: Li Yan Lan , Shen Xing Quan
Published: May 2014

Using wavelet packet achieve the reduction of the Multispan deep hole drill pipe system, effectively reduce many-degrees of freedom system.It gets a good control effect according to ER / MR damper characteristics and semi-active control theory, designs neural network controller according to intelligent control theory and proposes semi-active control algorithm that has been created the neural network of deep hole drill system. The project supported by the National Natural Science Foundation:Research straightness control of deep hole processing technology based on multi-body system theory (51175482) and National and international cooperation: Cooperative research key technologies of sophisticated and efficient deep hole machining (2013DFA70770)
Optimization Design of Gravity Compensation System for a 5-DOF Articulated Heavy-Duty Robot
Authors: Liu Lei , Huang Bo , Zhu Yan He , Zhao Jie
Published: May 2014

Spring loaded balance system is a common method for designing the gravity compensation system of heavy-duty robot. In the design process of this system, the relevant parameters of the spring itself and spring loaded balance system’s installation position parameter have a great impact on the final compensation effect. This paper introduces a parameters optimization design method of heavy-duty robot’s spring loaded balance system. Based on the dynamics equation of heavy-duty robot, we built a mathematical model of the balanced joint with spring loaded balance system. The torque of balanced joint in this model and the relevant parameters of spring loaded balance system are the optimization goal and the optimization parameters relatively. Then we obtained the optimization result of spring loaded balance system’s parameters using optimization toolbox of MATLB. By the above method, we designed and optimized the spring loaded balance system of a 5-DOF articulated heavy-duty robot. Through the comparison of the result calculated by MATLB, the optimized spring loaded balance system greatly reduces the torque of balanced joint and the consumption of joint drive. Meanwhile, by this method, the optimized spring loaded balance system maximally improves the dynamic performance and service life of the heavy-duty robot.
Research on Synthesis of Morphology Controllable Silver Nanoparticles and its Applications in Solar Cells
Authors: Wei Yong Sen , Lu Sen Kai , Gui Ming Hui
Published: May 2014

Recent advances in synthesis and controlled assembly of monodisperse colloidal nanocrystals into superlattice structures have enabled their applications in optics, electronics, magnetic storage, etc. Morphology controllable silver nanoparticles exhibit numerous unfamiliar characters and have achieved extensive applications in many fields. When applied in solar cells, the silver nanoparticles are used as a catalyst in the preparation of silicon-based antireflective layers, and also the varied morphology silver nanostructures can be utilized for silver paste which makes up the electrode. During the applying process, the size and morphology of the silver nanoparticles are important factors which influence their properties. The paper introduces the morphology category and preparation method of the silver nanoparticles. The effects of the morphology of the silver nanoparticles on their properties are discussed, and the further development of their application in solar cells is prospected.
Design of Underwater Rocket Fuse all Electronic Safety Control System
Authors: Chen Yong , Zhang He , Ma Shao Jie
Published: May 2014

Based on the ballistic characteristics of underwater rockets, the initial ballistic acceleration identification, dynamic pressure threshold and the fixed revolution number of sensitive turbine were chosen as three environmental excitation arming signal. Safety and arming logic circuit to meet the rocket ballistic characteristics was designed and using the Markov theory to model and analyze the circuit. A good match was achieved between ambient arming excitation with arming insurance and logic. And the safety of the whole trajectory was ensured. Finally, the circuit simulation experiments was designed, the results show that the circuit can meet the safety requirements of the fuze.
Genetic Algorithm-Based Parameters Optimization for the PID Controller Applied in Heave Compensation System
Authors: Sun You Gang , Qiang Hai Yan , Sheng Xiao Ming
Published: May 2014

To reduce the negative impact of the unexpected motion in the heave direction when hoisting on the sea, a heave compensation system is indispensable for a floating crane. In this paper, a genetic algorithm-based PID controller is presented to improve the dynamic performance of the heave compensation system. A simulation model of electro-mechanical and hydraulic integrated system of the heave compensation system is built. The simulation results show that the genetic algorithm-based PID control system improves the dynamic characteristics, strengthens the stability and rapidity of the system and even ensures the control effect of the heave compensation system.
Annular Heating Furnace Temperature Control Based on the Fuzzy-PID Algorithm and Cascade Double-Cross Limiting Control
Authors: Li Ting Gui , Li Gang
Published: May 2014

Annular heating furnace temperature control is a typical and complex industrial process control system,with the characteristics of multivariable,time-varying parameters,nonlinear,coupling, large inertia and pure delay,so it is difficult to obtain satisfactory control effect when using conventional PID control. In view of the above problems, adopting fuzzy PID algorithm and cascade double-cross limiting control, combustion control effect is greatly improved, self-tuning of PID parameters is realized, and control quality is enhanced. The experimental results show that, fuzzy PID control shows good dynamic and steady performance, its control effect is significantly improved when compared with conventional PID control, and it has better overall performance.
Design of Control System for 6-DOF Platform
Authors: Zhou Hao , Yang Yan Bao , Guan Guang Feng , Xiong Wei , Wang Hai Tao
Published: May 2014

6-DOF platform is widely used in large parts assembly, it is important to enhance the control precision of 6-DOF platform in the assembly environment. Base on kinematics analysis, the posture input is converted into the single cylinder commands, which is sent to the single cylinder control system. Then the single cylinder control system is presented. The experimental results verify the effectiveness of the control system.
Research on Automatic Single-Station Shoveling Spinneret Machine
Authors: Fu Xiao Dong , Yang Chong Chang
Published: May 2014

The automatic cleaning technology of melt spinning process status was introduced in this paper. The problem was analyzed that the cleaning efficiency of manual cleaning is unstable using the previous shoveling spinneret. A new automatic cleaning device was developed called automatic shoveling spinneret machine and the operating principle of the automatic shoveling spinneret machine is described. The machine can replace manual cleaning through a company's test.
A Java EE Platform Test System Based on Improved Genetic Algorithm
Authors: Nie Shu Zhi
Published: May 2014

With the development of computer and network technology, traditional way of examinations because of too many artificial proportion, has become increasingly unsuited to the modern teaching demands. In this paper, used the popular B/S structure, combined with the MVC pattern in Java EE platform, used Apache Tomcat server, MySQL database technology, designed a suitable test database, utilized improved genetic algorithm to achieve automatic test paper, combined JavaBean and Session technical etc. to complete the automatic scoring and evaluation functions. Used the database connection pool to establish efficient connections, utilized regular expressions for user authentication, used Ajax technology to achieve partial-page refresh functions, the design fully reflected the superiority of the Java EE platform.
Head Movement Recognition Technology Research in Augmented Reality Application
Authors: Wang Hui Bai , Li Lei
Published: May 2014

As human-computer interaction gradually shifting to people-centered, head movement recognition technology in Augmented Reality application is becoming a hot spot of research. This paper presents an improved fast face detection algorithm based on skin color model, to distinguish the face region and the non-face regions, uses the feature localization algorithm based on color features to locate the facial features, and defines a series of simple head movements and associates them with operations.
A Research of MM-SVM Technique for Fault Diagnosis
Authors: Yin Hong , Yang Shu Qiang , Li Guo Ming , Yin Ping , Jin Song Chang
Published: May 2014

With the satellite development of our country, higher accuracy and stability are requires, which makes the control systems becoming more complex and requiring more telemetry parameters. Data mining techniques do not consider the physical relationship between the various components, but use of satellite telemetry parameters of the satellite states the purpose of fault identification. In this paper, we give a model based on multiple support vector machines (MM-SVM) technology satellite fault diagnosis method. The experiment shows that our method is effective in satellite equipment fault diagnosis
Non-Contact Measurement Device Based on Ultrasonic Technology
Authors: Lan Zhen Ping , Meng Hui Min , Li Jin Tao , Wang Yu Ru , Li Ping , Jin Ji Yu
Published: May 2014

In the light of application requirements for non-contact measurement, this paper puts forward a non-contact measuring device. It generates the ultrasonic through electrical way with SCM detecting echo, the timer detecting ultrasonic transmitting and receiving time difference. Then it carries out the non-contact measurement of distance, and displays on LCD. The device can be used in many aspects, such as alarm, data monitoring, etc
PDroid: Detecting Privacy Leakage on Android
Authors: Zhang Pu Han , Li Jing Zhe , Shao Shuai , Wang Peng
Published: May 2014

The prevalence of Android makes it face the severe security threats from malicious apps. Many Android malware can steal users’ sensitive data and leak them out. The data flow analysis is a popular technique used to detect privacy leakages by tracking the sensitive information flow statically. In practice, an effective data flow analysis should employ inter-procedure information tracking. However, the Android event-driven programming model brings a challenge to construct the call graph (CG) for a target app. This paper presents a method which employs the inter-procedural and context-sensitive data flow analysis to detect privacy leakage in Android apps. To make the analysis accurate, a flow-sensitive and points-to call target analysis is employed to construct and improve the call graph. A prototype system, called PDroid, has been implemented and applied to some real malware. The experiment shows that our method can effective detect the privacy leakages cross multiple method call instances.
Application of BP Neural Network to Tendency Prediction of State Monitoring Data
Authors: Cheng Xu De , Wang Hong Li , Xu Bing , Liu Wei
Published: May 2014

BP neural network model for state monitoring data tendency prediction is constructed based upon neural network theory, and simulation programming is achieved with MATLAB. In the experiment, multiple data sets are selected for training and testing of the network to prove the validity of algorithm and model.
Scanning Electron Microscope in Metallurgical Experiment
Authors: Wang Zhi Gang , Shi Lei , Xu Yong , Sun Qi Lei
Published: May 2014

The precipitated carbides amount change after quenching and tempering the steel can be clearly observed by scanning electron microscope (SEM). The hidden needle martensite in high speed steels can be also clearly showed. Compared with the optical differential microscopy, the result of SEM shows significant differentiation. The application of SEM in metallurgical experimental teaching is feasible and necessary, with excellent experimental teaching effect.
Improved Maximum-Minimum Eigenvalue Detection with a Single Antenna Using Jackknifing
Authors: Du Rui Yan , Guo Shou Ming , Liu Fu Lai
Published: May 2014

Spectrum sensing is critical for cognitive radio networks as it allows a secondary user to find spectrum holes for opportunistic reuse. In this paper, an improved maximum-minimum eigenvalue detection method is proposed for a cognitive user equipped with a single receiving antenna. The proposed method utilizes the temporal smoothing technique to form a virtual multiple antennas structure. At the same time, the jackknifing resampling strategy is employed to improve the detection performance. Simulation results are presented to verify the effectiveness of the proposed method.
HSV Based Image Forgery Detection for Copy-Move Attack
Authors: Liu Bo , Pun Chi Man
Published: May 2014

As the great development of digital photography and relevant post-processing technology, digital image forgery becomes easily in terms of operating thus may be improperly utilized in news photography in which any forgery is strictly prohibited or the other scenario, for instance, as an evidence in the court. Therefore, digital image forgery detection technique is needed. In this paper, attention has been focused on copy-move forgery that one region is copied and then pasted onto other zones to create duplication or cover something in an image. A novel method based on HSV color space feature is proposed and experimental result will be given and it shows the effectiveness and accurateness of proposed methodology.
The Research and Design of Virtual Spindle Vibration Test System
Authors: Dong Fang , Yang Jian Cheng , Gao Tian Zhu , Xie Yu , Guo Lei , Zhang Hai Yang , Hu Shi Ming , Zhou Guo Qing
Published: May 2014

In order to facilitate dynamic analysis of spindle, improve the vibration characteristics of the spindle and achieve the goal of control of spindle motion stability. A spindle vibration testing system is developed with necessary sensor, signal conditioner and data acquisition card based on Labview software in this paper. The spindle vibration testing and analysis system is formed based on virtual instrument graphical programming language Labview. The hardware is reduced in testing process. At the same time, acquisition, processing and analysis for vibration signal are realized, and the costs of hardware are greatly reduced. The testing work is made more convenient and quick by this system, and test is made more intuitive by its real-time display function. It will provide a scientific basis for searching for measures to reduce the spindle vibration and developing a new generation of mechanical structure of the spindle.
The Design of Gas Real Time Monitoring System Based on Gas Alarm Sensor
Authors: Dai Wei , Xie Gang , Zhao Bai Qin
Published: May 2014

The gas alarms based on sensors are widely used, but there are still some limitations. By design a gas real time monitoring system, the gas alarms within a certain range transport collected data to a remote computer via wired or wireless method. Remote computer can monitoring the gas environment by receiving and monitoring alarms’ collected data. In order to ensure system’s reliability, transmission mechanism based on handshake is used. Data compression technology also included to reduce the storage space required by data store.
Implementation of Automatic Test System Based on Virtual Instrument Technology and USB Structure
Authors: Gao Mei , Pan Hui
Published: May 2014

A distributed ATE based on Virtual Instrument technology and Universal Serial Bus is introduced in this paper. This system is used for on-the-ground testing of a certain equipment of the space craft, to measure its power supply, signal, communication and etc. Because of the advantage of USB being used, this system provided an adaptive test bench for various testing requirement and can be well advanced in testing function.
Research on the Measurements of the Production Factors between the Hi-Tech Zones and the Hinterlands
Authors: Zhao Bing
Published: May 2014

The regional transfer of production factors was the foundation of regional economy, which was connected with non-balance-development theory. The paper, from the angle of regional economy, made a deep study and established the transfer measurements of the production factors of the High-tech zones.Empirical study of the panel data of the High-tech Zone, results showed that the clustering rate in the zones is already good, but the clustering quality of production factors was not ideal.
Numerical Identification of Ship-Roll Chaos Threshold
Authors: Liu Ya Chong , Hu An Kang , Han Feng Lei
Published: May 2014

Melnikov function is currently the only way to theoretically resolve the chaotic threshold. Considering the calculation difficulties of Melnikov function, Gauss-Legendre numerical method is accepted in this paper to ascertain the chaotic threshold of a nonlinear system. Two forms of numerical technique, namely Lyapunov exponents and phase plan are adopted to validate the computation results. The method is applied to the ship-roll system and the chaos threshold is numerically computed in the end.
Transformer Automatic Test System Based on Virtual Instrument
Authors: Ren Jian Feng , Zhao Shu Tao
Published: May 2014

This paper introduces a transformer automatic test system based on virtual instrument (LabVIEW) and PCI hardware platform, and being Improved separately from hardware and software section. use remote control functions to achieve relay testing automatic commutation function and remote automatic control; Increase the voltage and the current automatic locking feature in the empty / load test, and not only improve the security and accuracy of the test system, but also greatly improve the automation of the test system.
Design and Implement of Survey Ship Computer Room Remote Temperature and Humidity Measure System
Authors: Ding Qiu Qi , Tao Min , Wang Xin Rong
Published: May 2014

On the basis of analyzing some defectiveness in current domestic measure system, design was proposed to base on embedded web server which use AT91M40800+UC/OS-II microprocessors as hardware and software platform to develop temperature and humidity measure system of survey ship computer room. In system integration of embedded Web server, Users can achieve remote measure equipment embedded data and working status through browser. Thereby enhancing the measure efficiency and reduce the cost of measure.
The early Warning System of Embankment Slope Deformation Based on IBIS-L
Authors: Guan Da Shu , Li Yu Qi , Huang Zhi Xing , Yang Shuai Dong
Published: May 2014

This paper introduces IBIS-L (Image by Interferometric Survey-L) and its application on early warning system of embankment slope deformation. Visual Basic programming language and Microsoft SQL Server are used to develop the software of early warning system of embankment slope’s deformation, which can build the model to predict and early warn of the deformation of embankment slope with considering the parameters obtained both by IBIS-L and routine monitoring.
Gel Pen Smoothness Automatic Measuring Device Based on LabVIEW
Authors: Zhou Yang , Yang Chong Chang
Published: May 2014

The paper introduced the status quo of the gel pen smoothness; developed a new measuring device - smoothness tester for the status quo of the inaccurate measurement; described the measuring principle and system design of the smoothness instrument. Experimental data showed the superiority of the measurement. It basically solved the inaccurate measurement situation. The repeatability is less than 15%, and the correlation with the feeling is not more than 2%.
Research on the Applications and Measurements of the Microwave Technology
Authors: Qu Ming Zhe
Published: May 2014

Microwave technology is extensively used for point-to-point telecommunications. Microwaves are especially suitable for this use since they are more easily focused into narrower beams than radio waves, allowing frequency reuse; their comparatively higher frequencies allow broad bandwidth and high data transmission rates, and antenna sizes are smaller than at lower frequencies because antenna size is inversely proportional to transmitted frequency. Microwaves are used in spacecraft communication, and much of the world’s data, TV, and telephone communications are transmitted long distances by microwaves between ground stations and communications satellites. Microwaves are also employed in microwave ovens and in radar technology. The prefix “micro-” in “microwave” indicates that microwaves are “small” compared to waves used in typical radio broadcasting, in that they have shorter wavelengths. The boundaries between far infrared light, terahertz radiation, microwaves, and ultra-high-frequency radio waves are fairly arbitrary and are used variously between different fields of study.
Research Overview on Intelligent Fault Diagnosis Technology of Turbine
Authors: Jing Yong Wen , Li Li Fen
Published: May 2014

The intelligent condition monitoring and diagnosis technology has become a hot spot of the research on fault diagnosis. The research, which is on the diagnostic method based on artificial intelligence and its application in fault diagnosis of Turbogenerator, has important social significance and is full of economic value. Introduce the development status of intelligent fault diagnosis technology of turbine. Focus on fault diagnosis technology based on neural network integration with experiment research, analysis and summary. Finally, point out a number of issues and trends of the further study in this area.
Research on the Collision Process of Inertia Parameters Identification of Unknown Object
Authors: Chen Zhi Gang , Wu Qian , Shu Ju
Published: May 2014

To effectively capture an unknown object, inertia parameters such as mass and inertia need to be confirmed. To measure the inertia parameter of unknown object, this paper proposes a measuring method applying to the collision process during capturing. This paper described the collision capturing model with the equivalent spring damping method, set up a collision dynamic mathematical model. Study the influence of the collision times and collision point location on precision of inertia parameter identification. The results show that, increasing the diversity of the collision point and the number of collisions, can reduce the condition number, and improve the identification accuracy. Based on the discernibility matrix made up by the 12 groups’ data in case 6, identification error can be dropped to less than 1%.
The Research on Software Measurement Process Model and Data Acquisition and Analysis
Authors: Zhang Yan Hong , Zhang Hong Chun
Published: May 2014

Software metrics include project metrics, product metrics and process metrics. Software measurement process model embodies the relations among the three aspects of collection mechanism, analysis evaluation and project control of the metrics data. The three measurement activities and measurement information can be respectively applied to effective data acquisition, measurement process improvement and software process management. Data collection and analysis are the key to the software measurement process, the continued advancement of their technologies and methods has important significance on the improvement of software measurement process.
The Study of Traffic Queuing Based on Computer Simulations and Queuing Theory
Authors: Shan Yong , Liu Wen Bin
Published: May 2014

In view of traffic queuing question, this article has established the dynamic queuing theory model, considered the waiting the traffic flow magnitude and the vehicles density. On this basis, through computer random simulations,we found that traffic conditions can be divided into three statuses,and found out the key conditions of formation for each status. The results can be widely promoted, and can provide advice to government
Variable Selection in Proteomic Profile Classification by Interval Support Vector Machines (iSVM)
Authors: Yang Xiao Li , He Huan Yun
Published: May 2014

For variable selection in proteomic profile classification, we present a new local modeling procedure called interval support vector machine (iSVM). This procedure builds a series of SVM models in a window that moves over the whole spectral region and then locates useful spectral intervals in terms of the least complexity of SVM models reaching a desired error level. We applied iSVM in variable selection for proteomic profile classification. The results show that the proposed procedure are very promising for classification target-based variable selection and obtain much better classification than full-spectrum SVM model.
Reliability Analysis for the Navstar Based on State Probability of the Constellation
Authors: Hou Hong Tao , Xie Fei , Li Qun , Chang Qiang , Zhang Wang Xun
Published: May 2014

The definition for the constellation availability of the navigation system is given firstly, and then calculates the availability of a single satellite by using Markov processes, and establishes the model based on the state probability of the constellation, to achieve mapping model from component reliability of the single satellite to the constellation availability. Finally, we analysis the regional availability performance of the GNSS by the algorithm, which can fit and satisfy the requirements of contradiction between accuracy and rapidity for analysis of availability for constellation of GNSS.
The Research of Adaptive Filtering Algorithm and System Modeling
Authors: Zhang Sheng Ping , Chen Dong Ya
Published: May 2014

This paper introduces an adaptive adjusting FIR filter’s parameters (LMS) method and presents a system recognition model based on the adaptive filter theory. The adaptive filter is directly with adjustable coefficient h (0),h (1),...h (N-1).The unknown system and FIR model have the same input sequence. The simulation result confirms the feasibility of the model.
Multiple Choice Questions of Information Entropy Analysis of Equivalent Options
Authors: Du Peng Dong , Sun Tao
Published: May 2014

Single choice is one of the most extensive use of various types of test after test, the effectiveness of each option subject judgment can provide an important reference for the evaluation of the quality of test. In this paper, through the analysis of the single item choice information entropy problem, provides the calculation formula of this kind of problem number of equivalent options K.
Information Entropy Selection Problem in a Number of Quality Analysis
Authors: Tao Sun , Du Peng Dong
Published: May 2014

Multiple choice questions is one of the most widely used test, test after the effectiveness of each option subject judgment can provide an important reference for the evaluation of the quality of test. In this paper, by analyzing the multiple choice information entropy problem of multiple choice questions, given equal choice a formula to calculate the number of D. At the same time, the quality of the multiple choice questions the problems, gives the comparison method of using relative entropy.
Spectral Clustering Based on Sparse Representation
Authors: Hu Chen Xiao , Zou Xian Chun
Published: May 2014

Spectral clustering is an efficient clustering algorithm based the information propagation between neighborhood nodes. Its performance is largely dependent on the distance metrics, thus it is possible to boost its performance by adapting more reliable distance metric. Given the advantages of sparse representation in discriminative ability, robust to noisy and more faithfully to measure the similarity between two samples, we propose an sparse representation algorithm based on sparse representation. The experimental study on several datasets shows that, the proposed algorithm performs better than the sparse clustering algorithms based on other similarity metrics.
Analyzingand Modeling on Space Environment Effects Equivalence
Authors: Du Xiao Ping , Zhao Ji Guang , Hao Gang Tao
Published: May 2014

A novel space environment effects equivalence model used for space optical detection is proposed in this paper. In this model, the effects on the space optical detection system are equivalent to defocus, image motion, vibration and noise. Besides, the equivalent modulation transfer function of the space optical detection system is presented. The proposed model can avoid analyzing so many space influence factors at the same time. Moreover, the model can provide some basis to determine the parameters of the detection system which are difficult to measure. Some numerical simulations are made to test the validity and capability of the proposed model.
Improved Artificial Bee Colony Clustering Algorithm Based on K-Means
Authors: Wang Xue Mei , Wang Jin Bo
Published: May 2014

According to the defects of classical k-means clustering algorithm such as sensitive to the initial clustering center selection, the poor global search ability, falling into the local optimal solution. Artificial Bee Colony algorithm based on K-means was introduced in this article, then put forward an improved Artificial Bee Colony algorithm combined with k-means clustering algorithm at the same time. The experiments showed that the method has solved algorithm stability of k-means clustering algorithm well, and more effectively improved clustering quality and property.
Simulation on the Aerobics Action Reconstruction Based on Three-Dimensional Motion Vision
Authors: Chen Li Ying
Published: May 2014

Aerobics is one of the sports welcomed by the majority of the people. In competitive aerobics sport, a certain evaluation method is adopted to ensure multiple evaluation criteria of aerobics can achieve the best performance, and enhance the competitive level of aerobics players. The traditional aesthetic evaluation method of aerobics is coaches guided out-field approach, the aesthetic effect is optimized by guided and dominated by coaches, but athletes cannot participate in the evaluation system, which leads to poor guidance effect. In this paper, an aerobics movement reconstruction method based on three-dimensional motion vision is proposed. Computer visual recognition technology is utilized to extract characteristic image point of aerobics body, obtain the main features of the edge contour of aerobics body, and then three-dimensional evaluation is processed, the experiment group contains 4 different bodies. Simulation results show that the proposed method which is used to extract the body characteristics image point to process three-dimensional aerobics body shape evaluation, can improve the overall effect greatly, with a good guiding significance.
A Calculation Study on the Instrument Air of Gas Transmission Station
Authors: Liu Peng Fei , Zhang Si Mao , Geng Lu , Tian Hui , Wang Tao
Published: May 2014

Combining the Guangdong LNG station project, the gas station consumption instrument air equipment were analyzed, and the calculation of gas station instrument air system gas storage tank capacity, according to the Guangdong LNG station, the special circumstances, calculate separate switching valve gas storage jars. Through the analysis of the calculation process and result, relevant design wind instrument system is put forward.
Global Health Prediction Based on Vector Projection Algorithm
Authors: Guo Kai , Luo Dan , Wang Yang
Published: May 2014

This paper develops a model to provide reasonable predictions on Earth’s health condition.Factors that influencethe health condition of each nodeareanalyzed by Analytical Hierarchy Process and Vector Projection Theory is used to calculate shift matriceswhich reflect the interaction between nodes. Also the earth’s overall health condition is shown in this model.The prediction made in the test fits well with the reality.Finally, we analyze sensitivity of our model and find out critical and tipping points in the network. This information can be used for the policy making. We also use an example to show how the local policy influences on the global health condition.
A Novel Monocular Visual Odometer Method Based on Kinect and Improved SURF Algorithm
Authors: Zhang Li Jun , Chen Fei
Published: May 2014

The paper proposes a novel monocular visual odometer method based on Kinect sensor made by Microsoft and the improved SURF algorithm. Firstly the Kinect sensor capture color images and depth images of the surrounding environment, then we use the improved SURF algorithm to extract feature points of the color images and match for them. At last, map what we get with the depth image and estimate the path information of the robot by doing 3D reconstruction and using the the least square mean value theorem. Experimental results show that by using this new method, the average matching accuracy reaches 92.6%. And even in a dynamic environment, it shows good robustness, so it comes down to the conclusion that the combination of the Kinect sensor and the improved SURF algorithm applied to visual odometer is a simple and effective method.
Study of the High-Pressure HCP Phase of Al: A Computer Aided Design and Simulation
Authors: Xu Chao , Chen Dong
Published: May 2014

Based on the first-principles scheme, we have built several hcp-Al crystals and have calculated the lattice constants, cell volumes and elastic constants at high pressures using the plane-wave pseudo-potential method within ultrasoft pseudo-potentials. The basic thermal properties of Al are investigated by using the quasi-harmonic Debye model. The results show that the bulk moduli are still very large at high temperatures; hence hcp-Al can retain its stability at high pressure and high temperature. On the other hand, the temperature effects on the heat capacity and thermal expansion are significant. Several interesting phenomena have been observed in these quantities atT> 300K. More importantly, the negative shear moduli of hcp-Al indicate that our calculation results need to be verified by experiments in the near future.
Study on Model of Sealing of the Tube
Authors: Li Hong Jun , Yan Long , Yan Jiu Jiang , Chen Wei , Li Yan
Published: May 2014

In most of the existing sealing machine of tube, the sealing efficiency is universally low, this paper apply concentrated forcing scheme to the movable sealing plate, and create a new model of sealing of the tube, using the professional analysis software Inventor to carry out stress analysis for the movable sealing plate, the results show, in concentrated forcing scheme, the movable sealing plate can satisfy the force demand, and the space of the movable sealing plate can be greatly used, multiple tubes can be sealed at the same, the sealing efficiency of tube is greatly improved.
Study on Model of Squeezing of the Tube
Authors: Li Hong Jun , Yan Long , Yan Jiu Jiang , Chen Wei , Li Yan
Published: May 2014

In the existing squeezing machine of tube, the squeezing quality of tube is universally unstable, this paper apply dispersed forcing way to the movable squeezing plate, and build a new model of squeezing of the tube, using the professional analysis software Inventor to carry out stress analysis for the movable squeezing plate, the results show, in dispersed forcing way, the structural of model of squeezing of the tube design to be rational, and the tube force even, therefore the high-quality tube product can be obtained with the new model of squeezing of the tube.
Topology Optimization and Digital Manufacturing of Stress-Constrained Structure Based on Level Set Method
Authors: Xiu Yao Yao , Liang Sen
Published: May 2014

A theoretical model of stress-constrained topology optimization is established via level set method, a novel sensitivity analysis for the mean compliance with the stress constraint of the global measure of von Mises stress is derived by the material derivative. The triangle plane method and the Delaunay triangulation are explored to extract and sort the boundary point-cloud data, respectively. Digital manufacturing of optimization result is accomplished by automatically programming technique and wire electrical-discharge machining. Numerical examples of two-dimensional cantilever beam structure show the validity of the proposed method of this present work.
Analysis on Spatial 3D Modeling of Mechanical Technological Process Based on UG-NX Platform
Authors: Feng Yong Hui
Published: May 2014

In the design process of products, modern design technology pays more attention to the application of space art. As the rising of software design technology, using the computer to design process and optimize is widely used in the development of product and packaging. In this paper, we use the UG design software to do two-time development on software based on UG-NX platform, and use UG/API to connect space design system MySQL, which realizes the space art computer processing technology of modern design. Finally, using the design of casting products as an example, we use UG software to develop mechanical process flow, and design 3D model of product, and use MySQL database to optimize the model. It provides the technical reference for the study of art space in modern design.
Target Scale Adaptation Based on Corner Registration
Authors: Dai Bing Yun , Zhao Hui , Kang Zheng Xi
Published: May 2014

Target tracking algorithm mean-shift and kalman filter does well in tracking target. However, mean-shift algorithm may not do well in tracking the target which the size of target is changing gradually. Although some scholars put forward by 10% of the positive and negative incremental to scale adaptive,the algorithm can not be applied to track the target which gradually becomes bigger. In this paper, we propose registration corners of the target of the two adjacent frames, then calculate the distance ratio of registration corners.Use the distance ratio to determine the target becomes larger or smaller. The experimental results demonstrate that the proposed method performs better compared with the recent algorithms.
The Structural, Electrical, Magnetic Properties of (Cu, Co) Co-Doped ZnO Thin Film
Authors: Cao Ping , Bai Yue , Qu Zhi
Published: May 2014

Successful synthesis of room-temperature ferromagnetic semiconductors, (Cu, Co) co-doped ZnO film is obtained by sol-gel method. It is found that the essential ingredient in achieving room-temperature ferromagnetism is Cu co-doping. By Hall-effect measurement ap-type conductivity was observed for the Cu co-doped films, which induced the room-temperature ferromagnetism.
Propagator Method-Based Joint Estimation of Angle and Polarization for Bistatic MIMO Radar with Polarization Sensitive Array
Authors: Zhou Ming , Zhang Xiao Fei
Published: May 2014

This paper links the parameter estimation problem of polarization diversity bistatic multiple-input multiple-output (MIMO) radar to propagator method (PM), and proposes an algorithm for joint estimation of direction-of-departure (DOD), direction-of-arrival (DOA) and polarization information for bistatic MIMO radars. PM algorithm is a low complexity algorithm since it requires no eigen-value decomposition (EVD) of the covariance matrix of the received data. The proposed algorithm can estimate the multiple parameter accurately, while achieve paired parameters estimation automatically. Through obtaining polarization information, MIMO radars can further increase the target location and identification accuracy. Simulation results verify the feasibility and effectiveness of the proposed algorithm.
Application Research on Transmission of Information in Design Semiotics
Authors: Hu Rui Bo , Zhang Xiao Song , Li Jing Yuan , Wang Kun Qian , Suo Xin Yu , Man Ling Ying , Hu Yuan , Gao Zhen
Published: May 2014

Starting from constitution of design symbols, this article analyzes the constitution forms before sending and receiving messages, the decomposed information carriers of senders and receivers, the coding rules of sending messages formulated by senders and decoding rules of receiving messages by receivers, thus concludes three basic rules, namely, regular、irregular and mixed type of understanding. And the design symbol reveals the distribution and enjoyment of culture. Without social relationships and communication of individuals, there will be no symbols and transmission、the systematic integration of various human design symbols as well as the approaches of the accumulation of collective experience and the pass of behaviors of individuals.
Performance of Two-Way Code-Multiplexed UWB Relay Networks
Authors: Dai Hong Ying , Chen Liu
Published: May 2014

Recently, two-way relay network has been taken attention. In this paper, the two-way relayprotocols of ultra-wideband (UWB) network based on code-multiplexed transmitted-reference (CMTR)impulse radio have been studied. Based on code-multiplexed scheme, a new two-way relayingstrategy for two-slots protocol is designed. The corresponding bit error rate (BER) performance isevaluated via simulations and compared with three-slots scheme which can get path diversity gainfrom direct link between terminals. Simulation results reveal that the performance of the two-slotsrelaying scheme is almost same with that of the three-slots scheme. Meanwhile the throughput ispromoted about 33% over three-slots scheme.
The Three-Dimensional Visual Gaits Simulation Studies for the Disabled Athletes
Authors: Mu Li Ming
Published: May 2014

The paper carries research on the accurate modeling issue for the disabled athletes’ three-dimensional visual gaits. The three-dimensional visual gaits are important gait features when the disabled athletes are walking which have some regularity. However the features present in a mess. The traditional three-dimensional visual gaits model based on visual images don’t consider the messy problems in the gait feature resulting in lower dimensional simulation fidelity. This paper proposes a three-dimensional visual gait modeling method using the human dynamics which can obtain the body features of the three-dimensional visual gaits by analyzing the periodic features of the gaits. The experimental results show that the model can quickly and accurately emulate the three-dimensional visual gaits for the disabled athletes with higher fidelity and lower errors.
Mobile Agent-Based Routing Optimization Algorithm in Wireless Sensor Network
Authors: Zhang Jun Ye , Chen Dong Ya
Published: May 2014

Wireless sensor network has features such as the limited energy of nodes and poor processing ability. A framework for mobile agent-based data fusion is proposed,whose routing strategy was implemented by using approximation algorithm. The theoretical analysis and experimental results show that the proposed algorithm is superior to other intelligent algorithms in terms of the solutions.It proves that the proposed approach has obviously prolonged the network lifetime.
Flexible Stretch Forming Technology for Sheet Metal Based on Discrete-Gripper and Multi-Point Die
Authors: Chen Xue , Li Ming Zhe , Liu Wen Hua , Hou Zhi Qiang
Published: May 2014

To solve the problem of low material utilization in traditional stretch forming process, a flexible stretch forming method was proposed, which can be realized by interaction of the multi-point stretch forming die with discrete-gripper stretch forming machine. The principle and characteristics of sheet metal flexible stretch forming technology was introduced, structural composition and working principle of the multi-point stretch forming die and discrete-gripper stretch forming machine were expounded, and the technology experiments was carried out with a self-designed flexible stretch forming technology equipment for sheet metal. The experimental results indicate that structure of multi-point stretch forming die and discrete-gripper stretch forming machine are reasonable, and flexible stretch forming technology can be realized by above-mentioned die and machine, stretch forming parts has a good quality and its shape error can satisfy requirements of production.
Energy Consumption Model and Simulation Test Based on Kinetics Principle
Authors: Zeng Qi , Wang Li Feng
Published: May 2014

Sports education can not only help to improve students' body quality, and also student's development on the all-round and improvement. So the community has aroused wide concern on the training of student's physical ability, this article from theory of the introduction of sports ability to start, based on the analysis of what is the basis of sports ability, designing the questionnaire, analysising validity and reliability, and combining with the actual knowledge about sports teaching for college students, researching the purpose and motivation to participate in the physical training , analyzing the current situation of university sports teaching, so as to find out issues, constructing the school for student's training model of physical ability, for the purpose of guiding constantly innovation in college, constantly set the power of universities and social institutions to strengthen the teaching mode, the competition mode, interest model and the combination of the system model to realize efficient sports teaching, achieve a full range of to student's sports ability culture and make a comprehensive development.
A Study of Spore Image Classification Based on Feature Extraction
Authors: Yue Lu Lu , Yang Ming , Peng Li
Published: May 2014

Fungal diseases are the major diseases of agricultural production, and have brought tremendous impact to it. Identification of spore morphology plays an important role in the identification of fungi. This paper uses the microscopy images of two kinds of fungal spore and utilizes the technology of image analysis and recognition to classify them. We firstly get the underlying feature descriptors of these two kinds of microscopy images by RGB SIFT (Scale Invariant Feature Transform), then create the visual word dictionary using K-means clustering algorithm, at finally we use LDA, KNN and SVM to classify these two kinds of images. The results indicate that the classification of spore image based on feature extraction is feasible. In our future work, we will conduct the classification of related species and highly similar spore images.
A Non-Local Image Denoising Technique Using Adaptive Filter Parameter
Authors: Tang Song Yuan
Published: May 2014

This paper proposes a method to obtain the optimal filter parameter of the non-local mean (NLM) algorithm. The parameter is assumed to be a function of the variance of the additive white Gaussian noise and is adaptive estimated. The initialization of the variance of the additive white Gaussian noise is estimated by Wiener filter. Then the NLM filter is used to adaptively estimate the noise variance. The image denoising is an iterative computation till the parameter convergence. Experiments show that the proposed method can improve the quality of the denoised images efficiently.