bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Virtual Training System of an Air-Defense Equipment Based on Combined Exploration of Solidworks and OpenGL
Authors: Xie Rong Yue , Cheng Zhi Yong , Yi Tao , Deng Xiao Ying , Zhou Xiao , Ke Hong Gang
Published: August 2013

Aiming at the training requirement for cognizing and operating of a type of air-defense equipment, a virtual training system based on combined exploration of Solidworks and OpenGL is designed in this paper. First, considering the main work of the operation and maintenance staff of the air-defense equipment, the general scheme of the virtual training system is designed, and the combined exploring method is introduced. Then, the key techniques of the virtual training system are analyzed, which include virtual scene modeling, collaborative operation simulation and intelligent examination algorithm. The virtual training system provides a low cost and high efficiency platform for operation and maintenance staff of the air-defense equipment.
On a Decision Making Method Based on Ideal Objective Method
Authors: Luo Tian Wen , Tan Hai Feng , Wang Xiao Juan , Bai Xin Wei
Published: August 2013

By comparing several typical multi-objective decision-making methods, an ideal objective method is proposed, which combines Similarity to Ideal Solution Method and Analytic Hierarchy Process (AHP). After validation, this ideal objective method is both scientific and accurate in the process of target key decision.
An Improved Algorithm of Improved Computation Efficiency on LTS Hausdorff Distance
Authors: Wang Hui , Li Guo Jia , Pan Jun Hui , Shang Fu Hua
Published: August 2013

The computation efficiency of traditional algorithm is not high, and there is more time consuming. This paper presents an effective method for improved hausdorff distance, depth correction of logging curves is based on improved Hausdorff distance. In this method. On the basis of existing LTS hausdorff distance, the contrast curve segment is divided into neighborhood in an area, the LTS hausdorff distance is calculated by using engineering approximate, and the improving methods of search path is put forward, which ensures that the improved algorithm is better than the original algorithm has high computing efficiency and accuracy in theory.
Research and Design of DC Blushless Motor Speed Control System Based on Single Neuron PID Control
Authors: Li Qiao Hong , Hou Fang
Published: August 2013

The speed regulating system of DC blushless motor was mostly studied. This paper is based on a simplified mathematical model of Brushless DC motor which was consisted of the traditional PID and single neurons. In the Simulink environment, it is established by the control algorithm of single neuron adaptive PID brushless DC motor speed control system closed loop simulation model. From simulation results, the single neuron adaptive PID control system of DC brushless motor has excellent dynamic and static performance. Based on the analysis of DC blushless motor speed control system and simulation results of the neural network control algorithm, hardware of the digital control system for DC brushless motor is designed with control center of high performance microcontroller 80C196KC,which is of single neuron adaptive PID control algorithm.
The Research on Modified K-Means Algorithm Based on GA&SA
Authors: Zhu Zhe Feng , Hui Xiao Bin , Cao Yi Qian , Lian Wan Xiang
Published: August 2013

The traditional K-means clustering algorithm has the disadvantage of weakness in overall search, easily falling into local optimization, highly reliance on initial clustering center. Aiming at the drawback of falling into partial optimization, putting forward a modified K-means algorithm mixing GA and SA, which combined the advantages of global search ability of GA and local search, to avoid K-means algorithm to lost into local optimal solution. The results of simulation show that the performance of above-mentioned algorithm is better in the optimization capacity than before, and easier to get the global optimal solution. It is an effective algorithm.
Aviation Service Safety Culture on Group Behavior Based on Muti-Agent
Authors: Cao Yi Qian , Li Ke Wu , Zhu Zhe Feng
Published: August 2013

This paper introduces a intuitionistic fuzzy to describe the aviation maintenance safety culture on the influence of group safety behavior ,then put forward Muti-Agent modelbased on intuitionistic fuzzy theory (IFT).At last,construction the influence mechanism of aviation service safety culture on group behaviors, The model gets better results through a simulation.
Architecture Design of Scientific Research Project Management Information System
Authors: Li Xiao Qian , Song Xiao Feng , Zhao Bo
Published: August 2013

This topic has constructed a model of the whole process of project management system of scientific research in the framework of .NET, according to the characteristics of scientific research project management. This paper not only describes system architecture, key features, design methods and techniques, but also analyze system core technologies such as the WebService and Winform. Scientific research management system which can be applied to mobile terminals improve the level and efficiency of scientific research management to a large extent, providing a network and environment for scientific research project cooperation and management.
An Overview on Augmented Reality Based Mobile Commerce Recommendation
Authors: Peng Min Jing , Li Bo
Published: August 2013

Mobile commerce brings new requirements for the models of e-commerce recommendation systems. Due to the advantage of field experience of mobile internet devices, augmentation reality would be considered as a suitable technology platform for the implementation of e-commerce recommendation in mobile commerce. Specifically, the idea of using augmented reality to extract user instant interests and render recommended instant information would demonstrate its strong vitality. Currently, the research of augmented reality based mobile commerce recommendation systems consists of three parts: recommendation information processing, recommendation information presentation and augmented reality based interaction. Information processing refers to the use of techniques such as collaborative filtering analysis of user interests, goods or services to decide what information should be recommended to the user. Information representation refers to the way in which recommended information is transmitted to users. Augmentation reality based interaction model is responsible for the interaction of users with the goods and services information, is a concrete manifestation of the recommended way of e-commerce in the mobile business environments. In this paper, the feasibility and main techniques of augmented reality technology used in mobile commerce were analyzed, and the prospects for its applications were looked forward to.
Study of the Vibration Screening for Image Recognition of the Stored-Grain Insects
Authors: Zhang Hong Tao , Zhang Heng Yuan , Hu Yu Xia
Published: August 2013

The automatic vibration screening of the insects is the important part in the image recognition of the stored-grain insects. A screening detection device of the stored-grain insects was developed to analyze the vibration screening properties of Coleopteran insects. The main structure of the device included a vibration screening unit, a dust removal unit of the grain insects, a binocular machine vision unit and an automatic transporting unit. The adults of Sitophilus Oryzae were taken as the screening objects. Full factorial design was used in order to find out the better vibration screening parameters. Then orthogonal experiment was designed to optimize the screening parameters further, and distinguish between the primary factors and the secondary factors. The optimal vibration screening parameters of the detection device for the stored-grain insects were determined by a series of experiments. The best parameters were that the amplitude of the vibration sieve was 3.5 mm, the vibrating direction angle was 30oand the crank plate speed was 600r/min.
Research on Security and Defense Technologies in the Cloud Computing
Authors: Chen Hong Jun , Wu Xue Qin
Published: August 2013

The positive factors of the cloud computing: the great commercial value, the cheap and convenient use, has been recognized widely. But there are many risks on security. These security risks will greatly restrict the development of cloud computing. Cloud security risks such as: the cloud platform is easily vulnerable, cloud resources is easily abused, the cloud platform data is accessed by unauthorized user or the data is missing, the violations in the network is difficult to trace and survey, and the service providers replacement will affect the migration of the users data and services. So we research the virtualization technology, data backup and disaster recovery technology, encryption technology of data storage and transmission, the authentication technology of service providers and users, risk assessment, and legal constraints and safety training. Our research is strived to obtain a secure cloud computing environment.
Developing Operating Platform of the Internet of Things Based on Cloud Computing
Authors: Huang Le Hui , Zhang Xiang Qing
Published: August 2013

The development of the internet of things has been elevated to the height of the national strategy, and especially causes the public attention of IT circles. But the internet of things is inseparable from its technical platform, especially the support from cloud computing. The paper starts from the system structure of the internet of things, and discusses the architecture and implementation strategies of the internet of things platform.
Collaborative Development of E-Commerce and E-Government
Authors: Wang An , Huang Le Hui
Published: August 2013

The development of information technology brings opportunities to the government and enterprises, but it also raises new requirements and contents on the operation of each interior and the reorganization of the departments. So promoting the organic integration of e-commerce and e-government becomes a research hotspot.
Research and Implementation of Automatic Online Auction Using Selenium
Authors: Xia Xiao Ling , Chen Lu
Published: August 2013

As the Internet grows rapidly, traditional transaction mechanisms like auctions have been imported into the online-shopping world. Selenium web browser automation is for automating web applications for testing purpose, but is certainly not limited to just that. In this paper, well introduce you a way how to use Selenium to create scripts to implement automatic online auction.
Development of Test Bench of Electric Power Steering System for Electric Bus
Authors: Shen Rong Wei , Tai Xiao Hong , Han Jiong Gang , He Ze Gang
Published: August 2013

A kind of test bench of electric power steering system for electric bus was designed. The spiral spring was assembled as load equipment. The measure and control software is based on virtual instrument technology. The test bench has manual and electric powered input modes. Test results show that the test bench can verify the control strategies and detect the performance of the EPS prototype of electric bus.
Pedestrian-Flow Statistics Algorithm Based on Image Processing
Authors: Jian Hong Mei , Wei Zheng Xi
Published: August 2013

The automatic statistics to pedestrian flow can greatly improve the duty staff efficiency and thus becomes the hot research field. This paper presents a pedestrian flow statistics algorithm based on image-processing. Our research is on the basis of color histogram and mean-shift algorithm, and introduces the SVM model through generating confidence function to judge the actual attribute of background pixels. Such way improves the accuracy of target detection. Experimental results prove our algorithm better handles to pedestrian's coverage problem and meets the requirement of real-time and accuracy.
The Design and Fulfillment of Multimedia Didactical System of Colleges and Universities Multi-Network Unification
Authors: Nie Sen , Sun Yuan Yuan , Liu Yan
Published: August 2013

This essay introduces the multimedia didactical system consisting of CCTV didactical network,Internet and Wired Broadcast Network,and expounds how to realize its key techniques.
Research and Development of Algorithm Visualization Teaching Software on Mechanical Optimization Design
Authors: Li Li , Wu Zhao Yun , Wu Li Hui , Liu Nan Bo
Published: August 2013

In view of the teaching problems and difficulties in the course of mechanical optimization design, the algorithm visualization teaching software on mechanical optimization design was proposed. The functional requirements of the software were analyzed. The architecture and functional modules of the software were presented. The key technologies of the software were put forward, including the optimization algorithm library design, the method of visualization implementation, the method of preserving results and the animation reappearance technology. Based on these, the algorithm visualization teaching software was developed. The development environment and implementation methods of the software were proposed. It is proved that the software can play an important role in improving the teaching effect and quality.
Target Detection of Sonar Image Based on Bis-Parameter with Adaptive Windows
Authors: Li Ke , Liu Zhong , Hu Sheng Liang , Liu Yang
Published: August 2013

The detection algorithm CFAR is very mature in SAR image process field and the efficiency is very good. In the paper, CFAR is tried to be used in sonar image process. In order to solve the problem that the target part leaking to the background, a new method target detection of sonar image based on bis-parameter with adaptive windows is proposed. The size of adaptive windows can be adjusted to totally cover different targets. The experimental result showed that the complex multi target can be detected by the proposed method in a high accuracy.
Face Detection Methods Applied in ATM Automatic Identification System
Authors: Zhang Ming Hui , Zhang Yao Yu
Published: August 2013

Seeing that there are some unsafe factors in the process of ATM using,an ATM automatic identification system with extend functions was developed. As human face features are unique, face detection is added to the ATM as a method of authentication. Since face detection is a primary link of face recognition, our system adopts AdaBoost algorithm which is based on face detection. Experiment results demonstrated that the computing time of face detection using this algorithm is about 70ms, and the single and multiple human faces can be effectively measured under well environment, which meets the demand of the system.
Fire Detection Technology Based on Infrared Image Processing
Authors: Liu Xiao Jun
Published: August 2013

This paper proposes a method to detect fire by processing the images captured by an CCD camera with infrared filter. First, the flame objects are detected by using two consecutive frames difference and background difference. Using genetic algorithm to optimize the threshold, the image is segmented by using Ostu. The boundary chain code is acquired on the basis of extracting flame contour. Lastly, shape feature, change feature and edge jitter feature are used to judge whether the fire exists. This method suppresses visible light interference. The experiment results show that the algorithm has higher reorganization rate in different environment.
Application of Three-Moment Equation in Rudder Stock's Force Calculation
Authors: Zhang Bin Can
Published: August 2013

The mechanical model of the rudder stock is established. The rudder stock can be simplified into a statically indeterminate beam. The reaction force from the support, torque and bending moment within the length of the rudder stock can be solved using three-moment equation. The stress in the profile of the stock is checked using the fourth strength theory. The calculation is directly carried out based on Ship Specification of Classification and Shipbuilding. Compared with the conventional methods, the results show that three-moment equation is correct and available in check calculation.
Simulation of Propellant Muzzle Flow Field Based on Grid Technology
Authors: Qin Hao , Du Shi Guo , Yan Jun , Li Hong Guang
Published: August 2013

The muzzle flow field of powder gas shock wave was simulated by the fluid software Fluent and 7.62mm rifle was taken as the example. The generation and evolvement of the flow field of powder gas shock wave were studied, the pressure contour map of 7.62mm rifle muzzle flow field was obtained. By comparing the calculated results is drawn a conclusion that the projectile and the initial flow field have a significant influence on the genereation and development process of the muzzle flow field.
A Contactless Palm Vein Recognition System Based on Principle Line SIFT
Authors: Wu Wei , Lin Sen , Song Hui
Published: August 2013

Compared with the traditional method of contact collection, contactless acquisition is the mainstream and trend of palm vein recognition. However, this method may lead to image deformation caused by no parallel of the palm plane and the sensor plane. In order to improve the limited effect of Scale Invariant Feature Transform (SIFT) about this problem, a better method of palm vein recognition which based on principle line SIFT is proposed. Based on the self-built database, this method is compared with the SIFT and other typical palm vein recognition methods, the experimental results show that our system can achieve the best performance.
Texture Recognition Based on Invariant Analysis and Support Vector Machine
Authors: Zhao Jie
Published: August 2013

Texture recognition plays an important role in machine vision and signal processing. Over the last three decades, many texture analysis and recognition methods have been proposed, but most of them are sensitive to geometric distortion. This paper presents a new approach to scaling and rotation invariant texture classification using invariant moments based on radon transform. The radon transform is utilized to project the texture image onto projection space. Then the geometric invariant moments are calculated by the projection data. The support vector machine-based classifier is employed to implement the texture classification. Experimental results show the high classification accuracy of this approach.
A Trajectory Planning Algorithm for Autonomous Overtaking Maneuvers
Authors: Zhang Su Min , Sun Hao , Wang Yu
Published: August 2013

Autonomous overtaking maneuver is one of the toughest challenges in the field of autonomous vehicles. A key issue of autonomous overtaking maneuver is to find a dynamically feasible trajectory to avoid collision with the overtaken vehicle and surrounding hazards. Traditional trajectory planning algorithms assume that the initial and final vehicle states are given before and generate a trajectory for the whole overtaking process. However, overtaking maneuver is generally a time consuming process. Those assumptions may be invalid in highly dynamic environment. This paper tries to present a dynamic trajectory planning algorithm for autonomous overtaking maneuvers. The whole overtaking maneuver trajectory is made up of several short-time trajectories. Each short-time trajectory is generated by a kinematic vehicle model and taken into account of the surrounding environment and traffic rules. The concept presented in this paper is demonstrated through simulation and the results are discussed.
The Improvements of Traffic Data NN Rules Based on Hypothesis Interval
Authors: Ma Shi Yong , An Shi , Song Tian Hua
Published: August 2013

In the practical application of the Intelligent Transportation System (ITS), the collected and stored data through Nearest Neighbor Query can easily be contaminated by noise data. The reason is that the sensitivity of Nearest Neighbor Rules (NN Rules) to the noise data leads to the limits of Nearest Neighbor Query's practical application. To solve this problem, by using the insensitivity of Hypothesis Interval to noise data, this thesis improves NN Rules and proposes a classification mode of traffic data collection nearest neighbor rules. When the model predicts the samples, not only the distance from the test samples to the nearest neighbor is considered, but also the degree of the class to which this nearest neighbor belongs is taken into account.
Multi-Temporal Remote Sensing Dynamic Monitoring and Driving Force Analysis in Yangzhou Urban Area Based on Object-Oriented Technology
Authors: Wang Li , Cui Xi Min , Yuan De Bao , Hong Xue Qian , Shi Zai Jie
Published: August 2013

For recent decades, especially with the launch of international commercial satellites carrying high-precision sensors, land use dynamic monitoring techniques based on high-resolution remote sensing imagery have undergone a phase of rapid development of key techniques applied in many aspects vastly. This paper is focused on the technological research and procedure of these key techniques, including the process of multi-temporal images, the information classification and feature extraction method, and also the analysis of classified result and driving factors influencing mutual conversion between land classes. Considering the representative meaning as its typicality in China, Yangzhou urban area was regarded as the study zone with multi-temporal images of three periods in the year of 1988, 2002 and 2007. During the procedure of classifying, object-oriented method was applied to e36xtract features from different multi-temporal imagery. Through comparative analysis, it was demonstrated that residential area expanded rapidly especially from 2002 to 2007 and area of the arable and other kinds of land cover reduced considerably. Finally, it is concluded that multiple driving forces affected the land use/change and multivariable linear regression model was used to explore the primary and secondary forces.
Dynamics Simulation of Cannon Based on RecurDyn
Authors: Xiang Fei Fei , Chen Xue Jun , Sun Hua Gang , Lou Hong Wei
Published: August 2013

The cannon can not driving in line when tire blow out, the distance of sideslip affects the safety of cannon. To solve this problem we design a safe explosion-proof tire internal supporter tire. The simulation model of cannon established by RecurDyn, compared the ordinary pneumatic tire and inner support when cannon equip different tire, we get the cannon in the process of driving dynamics characteristic, it provides theory for the internal support tire equipping.
Researching of Chaotic Characteristics and Forecasting of Elman Network on the Communication Traffic
Authors: Duan Zhi Mei , Zhou Yan Jie , Yuan Xiao Jin
Published: August 2013

Communication traffic is a kind of dynamic nonlinear time series affected by various factors; the traditional predication methods cant achieve higher accuracy. In order to improve the communication traffic forecasting accuracy, in this paper, analyzing Chaotic characteristics and Predictability of the Communication traffic based on the Communication traffic data of daily rush hour by collecting, and reconstructing the phase space of the communication traffic time series, proposing a method of building the predication model of the communication traffic by using Elman dynamic neural network, and using proposed model to do one-step forecasting, the experimental results show that this method improves the communication traffic forecasting accuracy. It can provide an effective way for forecasting of the communication traffic.
Research on Assist Characteristic of Electric Power Steering System Based on Adaptive Neuro-Fuzzy Control
Authors: Han Jiong Gang , Shen Rong Wei , Tai Xiao Hong , He Ze Gang
Published: August 2013

The simulation model based on MATLAB/Simulink was built for the controller of electric power steering system; assist characteristic is a key part of control. The ideal assist characteristic can satisfy the requirement of steering handiness and road feel. Adaptive neuro-fuzzy control was adopted to build assist characteristic simulation controller of electric power steering system. Then the simulation test was carried out. The simulation results verify the validity of the simulation controller, which creates the research basis for preliminary ascertainment of assist characteristic and further research of control strategies.
Method for Extraction of Object Contour of near Space SAR Image Based on Level Set Algorithm
Authors: Pang Lu Lu , Cao Yao Qin , Zhang Wen Bo , Ren Wei Long
Published: August 2013

Its a research hotspot recently to conduct image analysis and target detection using the object image acquired by the Synthetic Aperture Radar (SAR) in military survey, military mapping and ocean monitoring. To be able to quickly and accurately extract the object contour of SAR image real sequence captured by the aircraft in the low dynamic near space, the level set method is introduced in this article based on separating object from background by Difference Image Method. Then, the level set method is improved with the change of object image time sequence to accelerate contour extraction. The simulation experiment proves this method is efficient.
Study on China Electronic Products Reverse Logistics Mode Selection Strategy
Authors: Xie Cong Li
Published: August 2013

Electronic products reverse logistics can effectively help enterprises realize the goal of energy saving, environmental protection, it is one of the most important measures for achieving sustainable development. This article focuses on the analysis of the three electronic products reverse logistics modes, and provides a decision-making basis on selecting reverse logistics mode for electronic products enterprise.
Camera Calibration and Improved Computation of Fundamental Matrix in Epipolar Geometry
Authors: Duan Jia , Tang Yuan Yan , Zhang Zhen Chao , Guo Chu Yu , Fang Chi
Published: August 2013

In this paper, firstly we try to look for ways to avoid the camera parameters in order to reconstruct 3D model. We attempt to use the parallel stereo visual system and carry out the mathematical derivation of argumentation. Then we use epipolar geometry to solve this problem. And compare the computation algorithms of fundamental matrix. Then for the algorithm, we propose some improvement to compute the fundament matrix more precisely so that the algorithm is more stable and the robustness is stronger.
Bridge Target Detection in SAR Images Based on Texture Feature
Authors: Zheng Nan , Zheng Wei , Xu Zhong Lin , Wang Da Cheng
Published: August 2013

This paper carries out an algorithm research on bridge target detection in SAR images and presents a method that combines both texture features and correlation features. The method firstly extracts initial targets by using the algorithm of histogram equalization segmentation, and then conducts a contrastive analysis for targets and their surrounding background textures by using the gray level co-occurrence matrix to get rid of the false alarm target. The experimental results show that the method is simple, effective and has certain algorithm robustness.
Wavelet Linear Estimation for Different Distributed Random Variables
Authors: Wang Jin Ru , Wang Meng
Published: August 2013

In this paper, we construct a wavelet linear estimator for the component of a finite mixture under independent identically distributed biased observations. We evaluate its performance by determining an upper bound of risk of function classes.
Predication of Gas Emission Based on Wavelet Multi-Resolution Analysis
Authors: Qiao Bao Ming , Kang Qiao
Published: August 2013

Gas emission is basically non-stationary time series, Based on this view, wavelet multi-resolution analysis was applied to the predication of gas emission. Firstly, the gas emission data was decomposed by wavelet multi-resolution analysis. Secondly, the single branch reconstruction of each layer was predicted by establishing AR forecasting model. Synthesized all of the results from every layers, the forecasting result was obtained. The simulation showed that predication for mine gas emission with the method of this paper has much higher accuracy than AR model forecasting model.
Research on Radio Maintenance Simulation Training
Authors: Wang Zhe , Tan Ye Shuang , Huo Xiao Lei
Published: August 2013

Equipment maintenance training is one of the most important tasks in peacetime and wartime equipment support. Traditional maintenance training is mainly carried out on real equipment. It is subject to many limited conditions. Virtual maintenance training can be an effective solution to the shortcomings of the actual equipment training, but it also needs to be improved in the aspect of offering intuitive image operation interface for trainees. Maintenance simulation training opens up new ideas for equipment maintenance training. The article studies the advantages and disadvantages of the three maintenance training methods. Specific application of simulation maintenance training in radio maintenance training is given. The article has a certain reference value for maintenance training.
The Improvement Scheme Based on SIPT
Authors: Lao Jie Ying , Sun Zhi Lei
Published: August 2013

Speedy IP Traceback method (SIPT) is deficient in monitoring and position attack sources, this paper puts forward an improvement scheme based on SIPT, it only marks two-three times for the packet on the key locations, and the propose also overload rarely used fields on IP packet header to store the checkpoint information, which can traceback the attack source use these marking information, which would help to attack path-reconstruction with a low false-positive rate as a guid.
A Precision Model Based on Functional Surface and its Application in Product Reverse Engineering
Authors: Wang Yao , Wang Wei Guo
Published: August 2013

With a view to reverse design of product layer, a tri-level precision model of product-part-functional face based on functional face was organized. The products precision information model was recovered from the 3D model, and the precision design was achieved. The implementation process of precision reconstruction was introduced in detail and a piston fixture was presented as an example for validation.
The Research and Application of Virtual Transformer Substation Roaming Platform Based on the OpenGVS
Authors: Liu Fang , Hui Li , Tong Wei
Published: August 2013

Roaming platform is the most important part of the virtual reality, with which can shorten the exploitation time to a great extend. This walkthrough platform is based on virtual transformer substation, and has added collision detect, mouse identifying, natural phenomenon simulation and some other key technologies. This system can basically come to the need of a walkthrough platform.
Chaotic System Parameter Identification Based on Firefly Optimization
Authors: Gao Wei Ming , Zhang Zhi Cheng , Chong Yao Hua
Published: August 2013

Firefly Optimization Algorithm (FA) is a novel heuristic stochastic algorithm based on swarm intelligence, which is inspired by the fireflies biochemical and collective behavior. Due to the increment of attractiveness and the fixed step factor, the optimizing results are easily repeated oscillation on the position of local or global extreme value point, and the optimizing accuracy is reduced. Accordingly, this paper puts forward chaos firefly optimization algorithm (CFA), the improved algorithm can improve the diversity of population and the ergodicity of optimization, increase the ability of getting rid of trapped into local minima point. Chaos firefly optimization algorithm is used for the identification of chaotic system parameter; the results show the high accuracy of the algorithm parameter identification.
Emergence of Abstaining in Glauber Opinion Dynamics
Authors: Niu Bao Long , Wei Wei
Published: August 2013

We study the evolution of Glauber opinion dynamics with abstaining and tunable threshold on random graphs. The phase diagram shows plentiful features in the space of the two parameters of the model, the threshold and the abstaining probability. It is found that the threshold that limits the agents to be stable plays an important role in the emerging of abstaining in a wide spread. And it can be obtained that the observables stay the same in frozen state whatever the initial density of 0 is. We also use the mean field calculations to verify the fact of linearity between the density of 0 and the abstaining probability.
Adaptive Driving Speed Guiding to Avoid Red Traffic Lights
Authors: Cai Lu Shen , Ning Guo Bao
Published: August 2013

This paper proposed anAdaptive Driving Speed Guiding (ADSG) concept, which can assist drivers to avoid red traffic lights and thus improve the driving efficiency. The functional workflow of ADSG is defined and a smartphone based system compositionis designed. In order to figure outa legal, feasible and efficient guidance speed, 2 algorithms are designed, simulated and evaluated in the paper. After the evaluation a control strategy is raised, which combines the advantages of the 2 algorithms.
Analysis and Implementation of Raptor Codes for Video Multicast
Authors: Wei Geng , Li Cong Juan , Zhang Yu Dong
Published: August 2013

Packet loss is unavoidable in IP multicast using the UDP protocol that will serious influence video quality. In this paper we use the Raptor codes for video multicast to improve the video quality. Firstly, the principle of Raptor codes is analyzed in detail. Then the Raptor codes is implemented and transplanted in the video transmission system. Simulation results show that the video transmission system with Raptor FEC works which can overcome the packet loss effectively and improve the playback quality significantly.
An Unmanned Helicopter Model Identification Method Based on the Immune Particle Swarm Optimization Algorithm
Authors: Yang Ting Ting , Li Ai Jun
Published: August 2013

An unmanned helicopter dynamic model identification method based on immune particle swarm optimization (PSO) algorithm is approved in this paper. In order to improve the search efficiency of PSO and avoid the premature convergence, the PSO algorithm is combined with the immune algorithm. The unmanned helicopter model parameters are coded as particle, the error of flight test and math simulation model is objective function, and the dynamic model of unmanned helicopter is identified. The simulation result shows that the method has high identification precision and can realistically reflect the dynamic characteristics.
Design of Campus Smart Card System
Authors: Lv Wei Chun
Published: August 2013

With the fast development of campus informationization, the complexity of comsumption types and identification of college teachers and students also increases, which raises more strigent requirements to college management. This essay illustes the overall planning of campus Smart Card system, discussing the construction target and technical requirements of campus card system, designing the general frameworkd and putting forward the design plan of the construction of campus Smart Card system.
Simulation Study of SVPWM Control Technology for NPC Inverter
Authors: Li Song
Published: August 2013

With the development of high voltage technology ,the inverter power is becoming higher and higher . The traditional two-level inverter capacity has been difficult to achieve high power requirements due to the limitation of the power electronic devices. Therefore, different new kinds of multilevel inverter topologies with high-performance are proposed by the scientist all over the world. This paper introduces the topology structure, characteristics and working principle of threelevel inverter, and makes a detailed description of space vector pulse width modulation principle. Finally, the simulation waveforms are presented with Matlab/Simulink, the results verifies the validity of the theoretical analysis.
Robust Adaptive Beamforming Applied to Planar Array
Authors: Song Hai Yan , Shi Jie , Liu Bo Sheng , Tian Ye , Ye Jun
Published: August 2013

Capon beamforming has better resolution and interference rejection capability. However, its performance will seriously degrade due to noise, array steering vector error, and other factors. In this paper, a robust Capon beamforming applied to a planar array is described. It is shown that the proposed method is the natural extension of the original Vector Optimization Robust Beamforming algorithm to the case of a planar array, and can be reformulated as a convex second-order cone program and solved by SEDUMI. Computer simulation has shown that the proposed method has better performance than other conventional methods, such as narrower main lobe and lower side lobe.
Inhibition of Envelope Correction Method to EMD End Effect
Authors: Ma Tian Lu , Liu Zeng Li , Zhou Zhi
Published: August 2013

There exists a problem of endpoint effect in EMD, which makes the result of decomposition not perfect. The paper comes up with a kind of envelope correction method to suppress the endpoint effect on this question about periodical signal. The result shows that, the method can solve the problem on distortion of envelope, and improve the accuracy of decomposition.
Inner-Cluster Data Aggregation Scheme for Wireless Sensor Networks
Authors: Guo Jiang Hong , Luo Yu Dong , Chen De Li
Published: August 2013

For reducing the communication overhead of data aggregation, authors proposed an inner-cluster data aggre-gation scheme for wireless sensor networks. Agent nodes are selected with assist of location information and only the nodes have different readings with agent nodes transmit their data to cluster head, thus reduce the inner-cluster transmissions. Analysis and experiments show that our scheme reduces inner-cluster transmissions effectively and lowers the communication overhead.
Simulation Research on Hydraulic Stewart Force Feedback Master-Slave System
Authors: Hou Jing Wei , Zhao Ding Xuan , Zhao Ying , Cui Yu Xin
Published: August 2013

a virtual prototype program of hydraulic Stewart force feedback master-slave system is developed to solve the modeling problems when plant developing and controller design. The following work is done based on the Stewart manipulator simulation program built in Matlab/SimMechanics platform: 1. Master/slave force feedback control framework is built based on the relationship between force on cylinders and upper platform.; 2. A new Stewart platform with load force model on the upper platform hydraulic servo system is built as the slave hand. The validity of the functions is verified by simulation experiment.
Research on AS/RS Simulation Based on Flexsim
Authors: Tang Xiu Ying , Yang Lin Lin , Zhang Jia Jin , Shi Jie , Chen Li Chang
Published: August 2013

Storage efficiency of the automated storage and retrieval system (AS/RS) is well known by its high storage efficiency, the advantages of automation and high level of information, its operating efficiency has also become the focus of attention. This paper tries to take an automated storage and retrieval system of one manufacturing enterprises for example, analyzing the overall process and detailed steps. Then, Flexsim is used to identify its bottlenecks by providing system. At last, measures are used to optimize the operating efficiency.
Robot Reinforcement Learning Based on LCS-GDM
Authors: Ma Yong Bin
Published: August 2013

This paper proposed a robot reinforcement learning method based on learning classifier system. A learning Classifier System is a rule-based machine learning system that combines reinforcement learning and genetic algorithms. The reinforcement learning component is responsible for adjusting the strength of rules in the system according to some reward obtained from the environment. The genetic algorithm acts as an innovation discovery component which is responsible for discovering new better learning rules. The advantages of this approach are its rule-based representation, which can be easily reduce learning space, online learning ability, robustness .
Research on Fault Prediction Technology of Complicated Equipment
Authors: Jin Sai Sai , Huang Kao Li , Lian Guang Yao , Li Bao Chen
Published: August 2013

For the problems of not enough fault information for the complicated equipment and difficult to predict the fault, we apply Support Vector Machine (SVM) to build the fault prediction model. On the basis of analyzing regression algorithm of SVM, we use Least Square Support Vector Machine (LS-SVM) to build the fault prediction model.LS-SVM can effectively debase the complication of the model. Finally, we take the fault data of a hydraulic pump to validate this model. By selecting appropriate parameters, this model can make better prediction for the fault data, and it has higher prediction precision. It is proved that the fault prediction model which based on LS-SVM can make better prediction for fault trend of complicated equipment.
Development of High-Resolution Fiber Spectrometer for LIBS Detection
Authors: Wang Li Dong , Mao Zhen Hua , Chen Zhe Min , Ma Bing Hui
Published: August 2013

This paper introduces a homemade high-resolution miniature fiber optic spectrometer for LIBS detection. The circuit part of the system is mainly controlled by a cortex-M3 chip, transmits data to the personal computer (PC) through the Universal Serial BUS (USB2.0), and a set of spectrometer test software is finished. The optical system is based on Czerny-Turner imaging system, using 1800grv/mm plane diffraction grating, 16μm slit and 2048 pixels linear array CCD as detector, high-resolution spectral output in the range of 335-455nm is required. By precisely calibration and testing, the precision of the system is 0.05nm, and the resolution of the wavelength at the blaze wavelength can up to 0.1nm which can fulfill the general LIBS detection.
Control Law Design Based on Geometric Algebra
Authors: Li Bin , Liu Qian Shou , Wu Di Min , Zhang Zi Hui , Zhou Yang Ke
Published: August 2013

A position and attitude control law is developed using geometric algebra (GA). GA is a powerful representational and computational system for geometry. The rigid body motion can be represented by the versor product in GA framework. Using the kinematics of the motor (the versor which represents the rigid body motion in GA), the control law of the rigid body motion can be developed. This paper provides a GA-based position and attitude control law by using the negative feedback of the motor. The stability of the control law is validated by the Lyapunov theorem and the numerical simulation.
Robot Inverse Kinematics Algorithm Based on Multi-Agent System
Authors: Chen Gui Qin , Wei Xiu Ling , Cui Gang , Wang Xin Ge
Published: August 2013

This paper presents an inverse kinematics algorithm based on multi-agent system. A number of joint agents are used to solve the inverse kinematics problem by serial and parallel collaborative computing. This algorithm applies to the vast majority of robots, no matter of the shape or the number of joints.
Experimental Study on the Flow and Vibration Characteristics of Dual Spool Sleeve Valve
Authors: Tu Shan , Wang Chao , Tang Yu Lin , Dong De , Shi Yue Juan
Published: August 2013

In this paper, hydraulic experimental research on dual spool sleeve valve has been made, and design of test bench, installation of the sensor, the experiment process and experimental results are introduced. The natural frequency of dual spool structure in the anhydrous state has been measured, static experiment on the flow characteristics of control valve has been performed, time-domain peak-to-peak analysis and spectral analysis on pressure pulsation dynamic data were conducted, and time-domain vibration displacement analysis and spectral analysis on tri-axial vibration data have been carried out. Miniature high-frequency dynamic sensor and its acquisition system was used to measure the control valve vibration parameters and the fluctuating pressure parameters of the interior critical points of the valve chamber, and finally data analysis.
Design of Electric Power Steering for Forklift Based on ARM
Authors: Ma Dong Mei
Published: August 2013

After analyzing Electric Power Steering (EPS) and electric control unit (ECU), a controller system based on ARM LPC1752 is designed. Direction control circuit, H-bridge control circuit and PWM technology were used to control a motor. The PD fuzzy control algorithm was used to control the steering system too. The system has got through the test of relevant electrical properties. Practical use shows that the system has good control performance.
Research on the Cooperation Method of Traffic Control and Route Guidance of Local Area Network
Authors: Bai Wei Qing , Zhang Mao Lei
Published: August 2013

The city traffic control system and traffic guidance system are two important subsystems of Intelligent Transportation Systems, also main means of the city traffic management. This paper studies the method of control and guidance system coordination for a specific local area, usually 2-6 signalized intersections, places a detailed analysis from the signal phase changes, guidance information display and other aspects of information to ensure the practical feasibility of the method. This paper presents a systematic approach to ensure interoperability in a variety of state regional road traffic running smoothly and orderly, reduce the incidence of congestion, to avoid further deterioration of the congestion, improving the efficiency of the vehicle access to and pass through the region.
Applications and Prospects of Sensor in the Field of Sports
Authors: Wang Jin Wei
Published: August 2013

Sensor technology is rapidly developing and has penetrated into the field of sports. Give the specific application of sensor technology in some field of sports, working principle and characteristics of the various sensors. Point out sensor in sports engineering practices will be increasingly widespread and deepening.
Microstructure and Optical Properties of Fluorocarbon Films Deposited by Pulsed Plasma Thruster
Authors: Li Yong , Zhang Rui , Zong Jian Hua
Published: August 2013

Fluorocarbon films with different structural and optical properties were deposited by Pulsed Plasma Thruster. The film composition and chemical structure was investigated with XPS. Transmittance and reflectance of the films were tested using UV-vis spectrometer. The results showed that, each sample basically has a strong absorption property for wavelength below 600nm and relatively weak absorption property for wavelength over 600nm. Chemical composition and structure influenced the optical properties of the films and different transmittance and reflectance was observed at different angle.
A Nonlinear Predictive Controller Based on Chaos Optimization Apply to Reheated Steam Temperature
Authors: Wu Wei Hong , Yan Wei Ping , Guan Zhi Min
Published: August 2013

In the power plant reheat steam temperature control system with large time delay, large inertia and dynamic variation of uncertainty, a new nonlinear predictive controller is proposed which combines neural network identification, chaos optimization algorithm (COA) and the concept of predictive contro1. The controller utilizes neural network as predictive model and COA as online optimization. It can avoid calculating the complicated gradient and the inverse matrix in the nonlinear predictive control. The simulation studies show the effective performance of the proposed controller.
Design of Deformation Monitoring Terminal System Based on STM32
Authors: Xu Kai Hua , Zhang Di , Liu Yu Hua , Xu Ke , Xi Yuan Hao
Published: August 2013

One monitoring Terminal system based on STM32 is introduced in this paper. The system used STM32 as core controller, GPIO and USART as control and communication channel. GPS, GPRS, wired transmission and power section together makes up the system motherboard. The design has been tested and been applied in geology disaster monitoring. Results show that it is adapted to the harsh environment outdoors and long term working conditions.