bluuebunny/crossref_metadata_2025 huggingface dataset:
The Research of Edge Detection in RMB Paper Currency Value Identification
Authors: Hou Xiang Hua , Liu Hong Hai
Published: September 2013

When using international popular algorithms deal with RMB paper currency, there exist three main aspects. First, the size of RMB paper currency is different with other countries. Second, the color of RMB paper currency is different from other countries, and the different face values have different major color, pattern and texture. Third, the location of face value in paper currency of our country is different from other countries. For RMB paper currency image, using edge detection is to separate the paper currency from the image according to boundary. In other words, the background is removed and only paper currency is left. This paper firstly introduces the principles of removing background by gradient operator, LOG algorithm and Canny algorithm. Then it analyzes the edge image results obtained by these three kind algorithms. At last, these three algorithms are evaluated. Results show that the Canny algorithm can satisfy the requirement of removing background and can improve a good foundation for the subsequent of paper currency extraction.
Optimizing the Performance of Machine Learning Based Traffic Classification
Authors: Wang Qiu Chen , Wang Lei , Xiang Ji
Published: September 2013

Traffic classification is a critical technology in the areas of network management and security monitoring. Traditional port-based and payload-based classification are no longer effective due to the fact that many applications utilize unpredictable port numbers and packet encryption. Researchers tend to apply machine learning (ML) techniques to identify the traffic flows by recognizing statistical features. Unfortunately, looking back upon the related work, most of the ML-based classification algorithms have similar performance, and what really matters now is how to optimize these techniques. In this paper, we analyzed two critical issues (Feature Selection, Configuration of Parameters) of ML classification, and presented the corresponding viable methods to optimize the classification model. This paper also reported the experimental evaluation to assess the performance improvements introduced by our optimized methods; experimental results on real-life datasets and network traffic show that the classification model successfully achieves significant accuracy improvement.
An Improved Skin Color Detection Algorithm Model
Authors: Dong Xue Feng
Published: September 2013

The main objective of designing skin color model is to determine whether the pixel is skin color pixels and generate the skin color mask images. The paper discusses the choise of color space and skin color model designing in skin color detection system, analysis the problems often needed to solve in it and put forward an improved skin color detection algorithm model based on ellipse boundary. The skin color detection experiment is completed. The result of experiment shows the skin color detection algorithm model is good.
A Novel Algorithm Based on Clustering and Access Points Selection for Indoor Fingerprint Localization
Authors: Zhang Xing , Ma Lin , Tan Xue Zhi , Guo Shi Zeng
Published: September 2013

With the growing popularity of location-based service (LBS), wireless local area networks (WLAN) indoor positioning has gained widespread attention. Unlike the traditional algorithm concentrating on positioning accuracy, we discuss how to improve the real-time property in WLAN indoor fingerprinting localization systems. In this paper, we present a novel algorithm which first divides the positioning area into sub-areas utilizing k-means clustering, and then selects appropriate access points (APs) for positioning to make the calculated amount as less as possible. By collecting data and performing in the real WLAN environment, our proposed algorithm shows high positioning accuracy while the computational burden has been decreased almost 93.7%.
A New Conjugate Gradient Projection Method and its Application
Authors: Cui Hong Fang , Zhou Ting
Published: September 2013

This paper constructs a new P-DY conjugate gradient projection method, the parameter contains parameters, it can be good to adjust the parameters of, this method makes the problem much faster, and more accurate results can be obtained iteratively. The decline of this algorithm and search convergence principle under the condition of Wolfe line, and will test new estimation algorithm, it is applied to the linear model with equality constraints and the results show that the effect is very good.
Curriculum Schedule Arrangement Solved by an Improved Immune Optimization Algorithm
Authors: Li Xiao Feng , Shi An , Luo Jian Guo
Published: September 2013

To solve the university timetabling problem (UTP) effectively, a immune algorithm-based solution for UTP was proposed. The mathematical model of UTP was expounded, a framework of immune algorithm was given, and simulation experiments were done to validate algorithm. Experimental result shows that proposed algorithm can solve the UTP effectively, and has the advantage of good application value.
A Localization Algorithm of Multi-Hop Three Dimensional AOA with Space-Based Angle Transmission and its Application
Authors: Chen Qing Zhang , Ni Yun Feng , Li Xing Hua , Wu Rong Jie , Lei Yan Jing , Fang Shuo Jin
Published: September 2013

Wireless sensor node's localization is a funda-mental technology in Wireless Sensor Networks. There are only quite a few study on three-dimensional (3D) localization which is suffered in slow progress, actually, is one of the main difficulties in WSN localization. Based on the study of the existing two-dimensional positioning algorithm and the application of terrain modeling, localization algorithm for sensor nodes in (3D) condition has been focus on as well as the application of terrain model. Using the idea proposed by representative algorithm--APS multi-hop AOA (Angle of Arrival), this paper proposed a new algorithm named Multi-hop Three Dimensional AOA With Space-based Angle Trans-mission (MSAT3D AOA). Using this technology, target nodes can use information of anchor nodes which are more than one hop away form. This paper also combined MSAT3D AOA algorithm with Delaunay triangulation algorithm for terrain modeling.
Synchronous Optimization Method for Heterogeneous Database Based on the Minimal Data Set
Authors: Zhang Zhen You , Wang Dong Guang , Cao Zhi
Published: September 2013

The data synchronous of the distributed heterogeneous database was one of the important researches for the heterogeneous databases. This paper analyzed the data synchronization optimization mechanism of the distributed heterogeneous database and puts forward to get the minimum change data set from each node database and then get the system total change data set, and then find out each node database of minimal update data set to update each node database, so as to realize the synchronization of heterogeneous database.
On the Contrast and Research of Maximum Power Point Tracking Control in the Microgrids PV System
Authors: Hu Bo , Piao Zai Lin
Published: September 2013

In microgrids operation, photovoltaic power generation system need to quickly and accurately for maximum power point tracking (MPPT), namely MPPT technology, because of the diversity of the control method, its control effect is different, a realization of process is also great difference. And because the current maximum power point tracking method is not enough accurate and mature, which led to the photovoltaic system power loss, this paper expounds the advantages and disadvantages of all kinds of tracking control method, in light of the maximum power point tracking control theory, and sums up the mathematical model of optimization, seeking the optimal control method. The paper is to explore maximum power point tracking control method development mentality, to look forward the research direction of the microgrids PV system.
Control Algorithm Optimization of Electric Air Conditioning Based on ADVISOR
Authors: Nan Jin Rui , Zhou Zhi Chao
Published: September 2013

In order to develop more energy-saving control algorithm, an electric vehicle air conditioning system model is established. Electric air conditioning system compressor model, compartment thermal load model, heat transfer model, controller model and temperature calculation model are built based on certain pure electric commercial vehicle air conditioning system. A compound control method applying fuzzy and PID theory is put forward in this paper. A secondary development of EV model is established in ADVISOR. As the result shows, the Fuzzy-PID control method is more accuracy and consuming less energy. Optimized control algorithm for air conditioning is realized.
The Strong Convergence of a New Iterative Algorithm for Asymptotically Nonexpansive Mappings
Authors: Wang Yuan Heng , Sun Wei Wei
Published: September 2013

In a real Banach space E with a uniformly differentiable norm, we prove that a new iterative sequence converges strongly to a fixed point of an asymptotically nonexpansive mapping. The results in this paper improve and extend some recent results of other authors.
An Evaluation Method of Combat Service Operation Performance for Surface-to-Air Missile Based on FNN
Authors: Li Gang , Li Da Peng , Zhou Yan Yan , Xu Lin Wei , He Ji Feng
Published: September 2013

Firstly, the implication and purpose of the Combat Service Performance Evaluation for Air Defense Missile was elaborated in this paper. Then the Fuzzy Neural Network (FNN) Evaluating Method was put forward to apply to the combat service performance evaluation. Secondly, an evaluation index system was built on the basis of the characteristics of the combat service operator and the combat service process. At last, the correctness and validity were approved though the simulation results.
A New Hybrid GRASP with the Pilot Method Forthe Delay-Constrained Multicast Routing Problem
Authors: Xu Ying , Zheng Xiong Fei , Li Ren Fa
Published: September 2013

Multicast routing problem is a well know optimization problem for transmitting real-time multimedia applications in telecommunication networks. As the underpinning mathematical model, the constrained minimum Steiner tree problem in graphs is a well-known NP-complete problem. In this paper we investigate a new hybrid GRASP (Greedy Randomized Adaptive Search Procedure) approach where a pilot method is applied to further enhance the search for the Delay-Constrained Least-Cost (DCLC) multicast routing problem. Experimental results demonstrate the efficiency of the hybrid GRASP algorithm and the contributions of the post-processing pilot method to better solutions in most cases. The proposed GRASP approach is a competitive approach in solving the DCLC multicast routing problem.
Retrieval Technology by Example during Product Development of Auto Parts
Authors: Chen Jun , Huang He , Wu Ting , Duan Bin
Published: September 2013

In this paper, aiming at the characteristics of auto parts enterprises product development, the object-oriented case knowledge expression to build auto parts product development database is used, the nearest neighbor algorithm is as similarity algorithm of case retrieval, the TCP/IP network technology is as the main network transmission protocol, C/S is as the application system to build the case retrieval system, and EPS steering gear is as an example.
Application and Research Development of Steel-Concrete Composite Bridge
Authors: Li Zhi Xue , Dai Yu Wen , Hu Ruo Lin
Published: September 2013

China's iron and steel industry was rapided development, however, the steel bridge construction is very slow. Timely development of steel - concrete composite bridge will be the major trend of the future bridge construction.This paper intruduces the theory, advantages, applications and development trends of steel-concrete structure, by comparion of steel-concrete structure with prestressen concrete structure. Finaly, illustrates the need for steel-concrete structure used in bridge construction.
Application of Improved DV-Hop Localization Algorithm in Port Container Positioning
Authors: Chen Shu Qian , Zhang Li Hong
Published: September 2013

In order to overcome the traditional positioning system has high cost, poor precision, demand for warehouse, container terminal management, using RSSI ( received single strength ) technology on the container for initial localization, then introduction of genetic DV-hop localization algorithm on the error correction. The simulation results show that improvement DV-hop algorithm improves the positioning accuracy of the node, reducing the positioning error, can make real-time monitoring for position, inventory and shift information of the goods, conducive to improving the efficiency of container management, more truly reflect the actual distribution of the containers.
Online Monitoring System of the Mine Main Fan
Authors: Zhang Hong Wei
Published: September 2013

Monitoring system uses upper and lower machine model. The machine adopts the simple operation, reliable performance of PLC acquisition of main fan for each parameter and alarm control. In order to ensure that the fan monitoring system reliability and real time nature, based on the VC++ and SQL Server to develop a set of computer monitoring system. Monitoring software system and data acquisition and processing hardware system connected by a RS-485 bus system. Computer to other computers in a network or through the monitoring host forwarding see fan monitoring interface.
Distributed Heterogeneous Database System Synchronization Problems in Intelligent Building
Authors: Pang Hui , Gao Li Ting , Meng Fan Xing , Liu Bing
Published: September 2013

Intelligent building is the product of the computer and information technology network to penetrate the construction industry, which fully reflects the architectural art and information technologies. This paper focuses on information platform in the intelligent building construction and application process for different sectors, different types of databases data integration, processing, capture data changes, transmission and synchronization. Through studied the method of data transformation, change data capture methods, making the integration of distributed heterogeneous databases in the process of data synchronization issues have been satisfactorily resolved.
A Terahertz Compressive Imaging Method Based on Single Detector of Randomly Moving Template
Authors: Shang Sai Qi , Wang Min Gang , Li Wei , Yang Yao
Published: September 2013

Expensiveness and lack of N-pixels sensor affect the application of terahertz imaging. New compressed sensing theory recently achieved a major breakthrough in the field of signal codec, making it possible to recover the original image by using the measured values, which have much smaller number than the pixels in the image. In this paper, by comparing the measurement matrices based on different reconstruction algorithms, such as Orthogonal Matching Pursuit, Compressive Sampling Matching Pursuit and Minimum L_1 Norm algorithms, we proposed a terahertz imaging method based on single detector of randomly moving measurement matrices, designed the mobile random templates and an automatically template changing mechanism, constructed a single detector imaging system, and completed the single terahertz detector imaging experiments.
Gas Emission Prediction of Coal Mine Based on Evidence Theory Combining with Neural Network
Authors: Duan Zhi Mei , Cheng Jia Tang
Published: September 2013

In order to improve the prediction accuracy of gas emission, propose a prediction method of evidence theory combining with neural network. According to the experimental data of gas emission, three different particle swarm optimization-neural network models are used for the initial prediction. And use the BP and RBF network to get the credibility of model by analyzing forecasting errors and its influence factors. Then the evidence theory is used to obtain the weights of combination model, realize the gas emission combination forecasting. Examples results show that the error of evidence theory is less than error of the neural network and equal weight method, and it is suitable for gas emission prediction of coal mine.
A Performance Tool for Earth System Models Development
Authors: Li Hang , Luan Zhong Zhi
Published: September 2013

We present a performance tool for Earth system models development to aid in analyzing the performance of the climate modeling applications. It is difficult for existing tools to handle with the complex, coupled structure and the long execution time of models. Our performance tool implements rapid analysis based on statistical sampling and grouping aggregation the calling relationship and the actual computing resource consumption excluding waiting losses. Using this tool, we study an ocean model POP in short-term sampling and analyze its scaling bottleneck and acceleration trend. The measuring results of its entire execution prove our predictions on the scaling efficiencies.
Research on Visual Simulation of Space Target Optical Imaging
Authors: Liu Hai Yang , Liu Shu Ai , Zhang Lan Ying
Published: September 2013

A virtual space scene is established using visual simulation technology, describing the space target imaging geometric mapping relations and photometric properties. It covers focal plane size, pixel size, field of view (FOV), focal length, the apparent magnitude, the detection range, and other parameters. When the space target cannot form a clear image on the focal plane, an equivalent apparent magnitude is used to simulate the target brightness by calculating the space target photometric quantity. The method proposed proves to be a good reduction of the optical camera imaging.
Conformal and G1 Continuous Connection of NURBS Curves
Authors: Deng Pei Sen , Chen Shao Ping , Shen Jun Cheng
Published: September 2013

This paper converts a NURBS curve to piecewise rational Bézier curves by knot insertion algorithm, and then discusses the algorithm of continuous connection of NURBS curves. Meanwhile, explores the method to keep the same shape of the NURBS curves after connecting through the point translation and vector rotation theory. Finally, gives an instance to verify the validity of the algorithm.
The LBP Integrating Neighbor Pixels on Face Recognition
Authors: Li Wei Sheng , Chen Long
Published: September 2013

The traditional LBP only considers the difference between the center pixel and the neighbor pixels. In order to use the relationship of the center pixel and neighbor pixels, a manipulative texture method B_LBP is proposed in this paper, which integrates the grayscale intensity of neighbor pixels into traditional LBP. The method keeps the local structure information of original images and enhances the identification ability. LDA (Linear discriminate analysis) is used to reduce the dimensionality of the original data. The experiments are conducted on Yale B and CMU PIE face databases with B_LBP, LEP and LBP. The results show that the B_LBP is superior to the traditional LBP and LEP.
Study of Segmentation Threshold Based on Wavelet Transform
Authors: Li Jian Yi , Wang Hui Juan
Published: September 2013

Based on the research of the four kinds of algorithms of digital image segmentation, based on edge detection methods, based on region growing method, threshold segmentation method and digital image threshold segmentation method based on wavelet transform, using MATLAB simulation of all digital image enhancement and segmentation process, the obtained results are analyzed, proving the threshold segmentation wavelet transform method has unparalleled advantages in information extraction in medical image.
Wavelet transform is a mathematical tool widely used in recent years, compared with the Fu Liye transform, the window of Fu Liye transform, wavelet transform is the local transform of space and frequency, it can be very effective in extracting information from the signal [[1.
A New Compensation Method of HRRP for Ballistic Targets
Authors: Li Xing Xing , Yao Han Ying , Sun Wen Feng
Published: September 2013

The influence on the high range resolution profile (HRRP) of the ballistic target caused by high speed motion is analyzed based on the wideband radar de-chirping echo. According to the characters of ballistic target echo ambiguity diagram (AD), the auto-terms line of echo ambiguity function is extracted from the corresponding binary image by skeleton extraction technology. Therefore, the problem of chirp rate estimation is transformed into the least square (LS) estimation problem. Furthermore, a new motion compensation method of HRRP for ballistic targets is proposed based on the ambiguity diagram and least square estimation theory. Simulation results show that the method can eliminate the influence of the high speed motion effectively, and it has a high estimate accuracy and low computational cost.
Image Labeling Model Based on Conditional Random Fields
Authors: Yan Yang , Huang Wen Bo , Wang Yun Ji , Li Na
Published: September 2013

We present conditional random fields (CRFs), a framework for building probabilistic models to segment and label sequence data, and use CRFs to label pixels in an image. CRFs provide a discriminative framework to incorporate spatial dependencies in an image, which is more appropriate for classification tasks as opposed to a generative framework. In this paper we apply CRF to an image classification tasks: an image labeling problem (manmade vs. natural regions in the MSRC 21-object class datasets). Parameter learning is performed using contrastive divergence (CD) algorithm to maximize an approximation to the conditional likelihood. We focus on two aspects of the classification task: feature extraction and classifiers design. We present classification results on sample images from MSRC 21-object class datasets.
Research on Seam-Line Detection of Mosaic Image Based on Radon Transform
Authors: Sun Wen Bang , Tang Hai Yan , Chang Yan , Zhang De Bao
Published: September 2013

Nowadays, Hough transform is always adopted to detect the seam-line of mosaic image. But the calculation is big, so the seam-line detection speed is affected obviously. In order to overcome this problem, a new detection method based on radon transform is proposed in the paper. First, a binary image is generated by edge detection technique, after the mosaic image has been smoothed based on mathematical morphology. Second, Radon transform is used to the binary image, and the extreme coordinates of the Radon transform result are determined. Finally, the seam-line location in mosaic image is determined by using the extreme coordinates. The theoretical analysis and experiment results show that the proposed method has very good detection performance.
Access Control Based on Trust Policy in Open Grid Environment
Authors: Gao Li Ting , Wang Zhen Yan
Published: September 2013

This paper proposed a model for user security management. This model can establish the blacklist and white list to achieve the control of the user subsequent actions through monitoring the changing of user trust level. It also can establish trust policy based on assets importance and user trust level, specify the relationship between user trust and assets value and take it as a dynamic trust constraint for access control. The experiments show that this model combines trust level with access control mechanism; it can enhance the user security management.
A Framework for Template Driven Automatic Generated Platforms
Authors: Hu Shu , Li Jing , Song Hu
Published: September 2013

In recent years, cloud computing technology has become the most popular field in IT industry, and it has changed the traditional IT technical architecture, development and deployment model in enterprise. Existing cloud management platforms tend to focus only on a single-level resources management, lack of a management platform that combines infrastructure resources, application platform deployment and monitoring services. This paper has designed a deployment-architecture that supports application platform in multi-cloud environment. It helps users deploy the required platform dynamically via self-help tool, frees users from infrastructure management, and provides common and inheritable deployment architecture for infrastructure environment.
The Design of Infusion Monitoring System Based on STM32 Microcontroller
Authors: Xu Zhi Hui , Li Wei Zhong , Xiao Yong Jun
Published: September 2013

conventional manual adjustment to control the drop speed in clinical infusion has more unadvantageous and cannot realize automatic controlling and monitoring of the infusion speed. According to this condition, the infusion monitoring system is designed based on the STM32 microcontroller and one pair of infrared emitting and receiving diode, and the experimental is done. The result shows that this designed monitoring system can reach high accuracy, high reliability and low adjust time.
The Digital Signal Processing Algorithm Implemented on ARM Embedded System
Authors: Chen Jian Xiang , Sun Hong Jun
Published: September 2013

Digital Signal Processing technology is an important tool for modern signal processing. The speedy development ARM embedded processor has powerful computed capability for digital signal processing algorithms. The paper provides a common hardware platform in recent years. In this paper, used assemble language to realize the algorithms and FIR Filter based on ARM-Linux embedded environment. The results shown that the ARM can quickly and efficiently complete a series of digital signal processing algorithms. Digital signal processing algorithm on ARM embedded system provides an effective way.
High-Resolution Terrain Rendering Algorithm Based on Fractal Theory
Authors: Li Bo , Di Bao Hui , Fan Rui Xing , Li Shen , Yang Jun
Published: September 2013

In order to get further improvement of the rendering speed, and the establishment of a high precision terrain at the same time, this paper discusses the high precision terrain rendering algorithms of the specific content and characteristics based on the fractal theory. The analysis shows that: in order to draw out more realistic topography, there must be the magnitude of the terrain data as the foundation in the present terrain simulation field,. Even the terrain data is rich enough, it also have certain defective, which can cause untruthfulness of the vision. This paper can improve the rendering speed and establish a high precision terrain based on the fractal theory at the same time.
Research on Mean Shift Algorithm
Authors: Zhao Yi Zhi , Wang Huan , Yin Guo Cai
Published: September 2013

Computer vision is a diverse and relatively new field of study. Object tracking plays a crucial role as a preliminary step for high-level image processing in the field of computer vision. However, mean shift algorithm in the target tracking has some defects, such as: the application of fixed bandwidth for probability density estimation usually causes lack of smooth or too smooth; moving target often appears partial occlusion or complete occlusion due to the complexity of the background; background pixels in object model will induce localization error of object tracking, and so on. Therefore, this paper elaborates several elegant algorithms to solve some of the problems. After discussing the application of Mean shift in the field of target tracking, this paper presented an improved Mean shift algorithm by combining Mean Shift and Kalman Filter.
Research on Reverse Logistics Network Optimization Based on Robust Optimization
Authors: Ju Lei Ming , Yue Xiao Bing
Published: September 2013

Considering the uncertainty of recovery and remanufacturing productivity rates in the reverse logistics remanufacturing process, we describe it by adopting the discrete scenarios of non-probabilistic and establish a multi-objective remanufacturing reverse logistics LRP robust model based on the NPRO.Lingo10 is used to solve the specific example, and then compared with the optimization values of objective function under the corresponding certain environment. The results verify the robustness of the model.
Context Quantization Based on the Modified K-Means Clustering
Authors: Chen Min , Wang Fu Yan
Published: September 2013

The context quantization forsource based on the modified K-means clustering algorithm is present in this paper. In this algorithm, the adaptive complementary relative entropy between two conditional probability distributions, which is used as the distance measure for K-means instead, is formulated to describe the similarity of these two probability distributions. The rules of the initialized centers chosen for K-means are also discussed. The proposed algorithm will traverse all possible number of the classes to search the optimal one which is corresponding to the shortest adaptive code length. Then the optimal context quantizer is achieved rapidly and the adaptive code length is minimized at the same time. Simulations indicate that the proposed algorithm produces better coding result than the result of other algorithm.
A Greedy-Based Computer Algorithm for Train Stop Schedule in High-Speed Railway Network
Authors: He Zhen Huan , Nie Lei , Fu Hui Ling
Published: September 2013

The study constructs a stop schedule model for high-speed railway. A greedy-based algorithm is proposed and the problem is divided into 3 stages to decrease its difficulty to an acceptable extent. Some greedy principles are applied and series of optimal models are constructed to solve the problem. The result of the sample shows that the models and algorithms in the study are effective.
Fault Diagnosis of Grounding Grid Based on Genetic Algorithm and Neural Network
Authors: Qian Wei , Qiu Mei Hong , Wu Miao , Shi Xian Yue
Published: September 2013

The grounding grid of power plants and substations is an important device to ensure the safe and stable operation of electric power system. However, it is difficult to diagnose the fault of grounding grid using traditional method of identification. In recent years, the development of artificial neural network has provided effective ways to solve this problem. In this paper, neural network is used to diagnose fault of the grounding grid, because it has good learning and training characteristics, and performance of fault tolerance. It can search fault localization of the grounding grid. BP Algorithm has the advantage of the optimization accuracy, but there are some drawbacks, the majority of which is easy to fall into local minimum, slow convergence and cause oscillation effect. Genetic algorithm has a strong globe search capability, and can find the global optimal solution with high probability, so it can overcome the shortcomings of the BP algorithm using GA to complete the pre-search. This paper presents a hybrid training algorithm by GA combine with BP to optimize network. Simulation results show that the hybrid method has a fast convergence rate and high diagnostic accuracy for diagnosing the fault of grounding grid; it can be used in fault diagnosis of grounding grid effectively and reliably.
The Research of Label Identification Method Based on Fuzzy Theory
Authors: Bu Xiao Yu , Liu Ping
Published: September 2013

This paper is mainly discussing the key technology of label automatic identification system using the indirect fuzzy pattern recognition based on the features of image and the fuzzy theory. This method greatly improves the efficiency and accuracy and the control effect is obvious, so that the quality of the label is guaranteed.
Embedded PWM DC Motor Control Cystem Based on ARM
Authors: Teng Chun Mei
Published: September 2013

This paper introduces an ARM-based embedded PWM DC motor control system. The system uses a variable voltage control; the entire system uses the speed and current closed-loop control structure. The main circuit using the structure of high-power system GTR switching devices and the bipolar H-bridge circuit for the power amplifier circuit, to complete irreversible speed regulation also finished reversible speed regulation. PWM modulation part of the ARM embedded development platform, using the C language programming to control the timer to generate two complementary width adjustable rectangular waves. GTR H circuit is controlled by adjusting the width of the waveform from two ways off time in order to achieve the purpose of speed regulation. It increased the flexibility and accuracy of the system while simplifying the process of generation of the PWM pulse.
Similarity of Macaque Face Images Based on PCA
Authors: Zhang Jia Qi , Li Xiao Yuan , Yu Xia H. , Wang Zhen Long
Published: September 2013

In this Work, Block PCA Based Method is Used to Build Several Subspaces for each Macaque Face Image and a Similarity Criterion is Proposed to Distinguish Family Properties of Macaques. A Proper Threshold Value is Determined through Statistical Analysis. then, a Series of Experiments are Carried out to Verify the Feasibility of this Approach. the Results Demonstrate that it is Proper to Utilize Similarity Value as Judgment Criterion of Macaque Family Properties and Higher Accurate Rate is Obtained. it can Provide an Effective way for Population Recognition of other Species.
Image Denoising Method Based on v-Support Vector Regression and Noise Detection
Authors: Wang Chang You , Gao Zhao Long
Published: September 2013

Aimed at the correlation between noise pixels and neighboring pixels, a new method based on the-support vector regression (-SVR) is proposed to remove the salt & pepper noise in corrupted images. The new algorithm first takes a decision whether the pixel under test is noise or not by comparing the block uniformity of the 3x3 window with one of the entire image, secondly adjusts adaptively the size of filtering window which is used to determine the training set according to the number of noise points in the window, thirdly determines the decision function that is used to predict the gray value of the noise pixels by means of training set, finally removes the noises in terms of the decision function based on-SVR. Experimental results clearly indicate that the proposed method has a better filtering effect than the existing methods such as standard mean filter, standard median filter, adaptive median filter by means of visual quality and quanti-tative measures.
Recognition of Topology Feature of Graphene by Image Processing Technique
Authors: Wang Mao Fa , Feng Ji Lin , Zou Xiao Ping , Li Xiao Li , Li Pan , Liu Qing Jie , Shan Wei Feng , Han Ying , Shen Yan Ping
Published: September 2013

In order to extract characteristic values of graphene, a method based on a series of digital image processing algorithms was proposed in this paper. Using the method, we can automatically analyze topology structure and calculate amount of carbon atoms, and even calculate chiral vector indices (n, m) during in-situ TEM scanning of graphene. At last, we also write the correlative software with c++, which applying the digital image processing algorithms, and give out the processing result of several classic TEM image of graphene.
Real-Time 3D Hand Gesture Detection from Depth Images
Authors: Song Lin , Hu Rui Min , Zhang Hua , Xiao Yu Lian , Gong Li Yu
Published: September 2013

In this paper, we describe an real-time algorithm to detect 3D hand gestures from depth images. Firstly, we detect moving regions by frame difference; then, regions are refined by removing small regions and boundary regions; finally, foremost region is selected and its trajectories are classified using an automatic state machine. Experiments on Microsoft Kinect for Xbox captured sequences show the effectiveness and efficiency of our system.
The Passive Location of Emitter Based on Fuzzy Method
Authors: Xu Wan Li , Liu Zhun , Nie Hui Yu
Published: September 2013

The Passive Location of Emitter based on Fuzzy Method.[Purpos The use of passive observation station to achieve the precise location has been an important topic of monitoring the electromagnetic spectrum resources and the environment. In order to locate the emitter accurately, a new method called fuzzy method is presented in this papers. [MethoBased on the distribution of points of intersections that are figured out by the LOB(Lines of Bearing), the paper put forward a fuzzy method for the passive location of emitter based on membership function to achieve the location of emitter. We compared this method with Pages method using 100 sets experimental data through the Monte Carlo simulated experiment. [Result The results showed that this method can effectively achieve the location of emitter, and improve the location accuracy. [Conclusion The positioning precision of this algorithm is obviously superior to Pages algorithm.
The SPWM Pulse Width Signal Spectrum Analysis Based on MATLAB
Authors: Tao Zi , Zhi Li , Long Jia
Published: September 2013

Based on the analysis of the characteristics of sine-wave pulse-width modulation (SPWM) and space vector pulse width modulation (SVPWM) [, the key points are the algorithm of various sampling methods of PWM signals and the analysis of those signals spectrum with MATLAB[4]. The foundational features of the harmonic distributions and advantages and disadvantages of various sampling methods are obtained. According to the analysis, some suggest can be given for the evaluation of pulse width modulation scheme. In the same time, some methods of optimization of pulse wave are advised to provide theoretical guidance for the system design.
Short Term Load Forecasting Based on PCA and LS-SVM
Authors: Wei Ren Ran , Wei Zhen Zhu , Rong Rong , Wang Yi , Jiang Jian Dong , Yu Hui
Published: September 2013

In this paper, in order to improve the precision of the short-term load forecasting, we propose a power load forecasting method combined principal component analysis (PCA) with least squares support vector machine (LS-SVM). Firstly PCA extracts the feature of the influence factors for power load, and then LS-SVM constructs a training model with a new variables extracted by PCA. After using PCA-LS-SVM model this paper proposed to forecast power load of one area, the results show that this method can effectively eliminate the redundant information among influential factors, reduce the input dimension of the prediction model, simplify the structure of the network, increase the learning speed and improve the power load forecasting accuracy. So this method is effectively feasible.
Design of Signaling for Multi-Process Micro-Kernel Embedded OS on ARM
Authors: Qu Bo , Yang Zhong Xue
Published: September 2013

This paper describes the design and implementation of signaling routines for multi-process micro-kernel embedded operating system on ARM in details, including overview of signaling, architecture of the signaling routines, installation of signal, setting and execution of the signaling handlers. Some essential signaling functions are implemented and commonly used signals are supported, e.g. SIGALRM, SIGINT and SIGCHLD, etc. Signal registration function, signal (), is also designed to set the handler of a signal. On the premise of supporting essential signals, the routines are designed as simple as possible in order to reduce the amount of codes as well as increase the readability. The paper at finally gives a demo example to show the effect of the signaling routines.
LMI Enhanced Observer Design for Lipschitz Nonlinear Systems
Authors: Qiao Feng , Ma Qing , Zhang Feng , Zhao Hao Ming
Published: September 2013

Observer design for nonlinear systems has been an important and complex issue for decades. In this paper, considering a class of nonlinear systems which satisfy Lipschitz condition, a method for observer design is investigated based on Linear Matrix Inequality (LMI). This study focuses on the selection of gain matrices using LMI for two kinds of Lipschitz nonlinear systems, which are classified by the relationship between output and state. Simulation studies are made with Matlab/Simulink in this paper, and the simulation results verify the effectiveness of the proposed method.
Power Supply System of Complex Based on FPGA Using LTM4601 to Design Efficient DC/DC Voltage Regulator Module
Authors: Wang Zheng De
Published: September 2013

A high performance power supply system was designed to meet the 1.5V power management, and it also provided 40A current for the load of four FPGA.The output power was 60W, the surface mount can effectively improve the efficiency, reduce the heat loss. In addition to providing power performance accurately, but also can improve the heat dissipation performance.
Design of SD Card Driver and Tiny FS for Multi-Process Micro-Kernel Embedded OS on ARM
Authors: Qu Bo
Published: September 2013

This paper describes the design and implementation of SD card driver and tiny file system for multi-process micro-kernel embedded operating system on ARM in technical details, including structure of device driver, key techniques of designing SD card driver, architecture of the tiny file system, a brief description of its designing and a demo example. The SD card driver and tiny FS are implemented with GNU tool chain by the author of this paper. Practice proves that the system can be used for not only embedded application developments but also related curriculum teaching.
Reason Analysis and Solution of the 220kV Breaker's Malfunction in Synchronous Parallel Operation
Authors: Zhang Wei , Li Nai Yong , Dun Yue Qin
Published: September 2013

This paper briefly describes the principle and procedure of the synchronized operation of the breaker. The cause of the unavailability of manual operation of the bus-tie breaker at a 220 kV substation is identified and a solution is found. The onsite test results show that the proposed solution is effective which enhances the stability of the power grid.
Study on a Craft Simulation Technology for the MEMS Thermal Element
Authors: Mei Chuan Zhi , Piao Lin Hua , Zhang Bao Li
Published: September 2013

On the basis of the craft manufacturing and designing about micro fluidic gyroscope, according to analyze the craft information and studying on the process simulation technology about the MEMS thermal components. Established a basic model of t the craft structure about the MEMS thermal components, based on this model, the L-Edit editor to edit creating a complete mask layout structure; studying a simulation method of craft process, the use of the technological editor which development based on the TCL/TK language to draw out the craft process document, then reconstructed the layout structure based the craft process in a 3D platform. It could be used to detect the rationality of the process program technology.
Study on Fluidic Gyroscope Linearity Compensation Method
Authors: Mei Chuan Zhi , Piao Lin Hua , Zhang Bao Li
Published: September 2013

Based on the linearity of the MEMS thermal element fluidic gyroscope compensation. By analyzing the results of the linear characteristic of the fluidic gyroscope sensor output, comparator linearity compensation two implementation methods, the introduction of the microcontroller and the temperature sensor, to achieve the linearity compensation of the gyro output signal. The experiments show that: after compensation, the non-linearity of the fluidic gyroscope5%down to 0.5%, to-120°/s~+120°/s measurement range from-40°/s~+40°/s Fluidic gyroscope linearity compensation with low non-linearity, wide measuring range.
An Energy-Efficient Approach to Hot-Plugging of Embedded Multiprocessors
Authors: Xia Jun
Published: September 2013

With the increasing of the number of processors in one chip, the energy consumption became increasingly important in the low power design of embedded system. In time-sharing OS, different application scenarios lead to different workload. A novel policy for energy saving is that some processors can be hot-plugged on while the workload of the system becomes high and some processors can be hot-plugged off while the workload becomes low. This paper proposed an energy-efficient workload prediction approach called PID prediction algorithm (PPA) which aims dynamic processors number changes for energy saving and reduces the frequency of processors switch on/off for saving extra energy costs. The experiments show that energy consumption is reduced by 19% and the frequency of processors switch on/off is reduced by 30%.
Design on Fuzzy Neural Network PID Control System of Diesel Engine
Authors: Zhou Zhen Chao , Chen Rui
Published: September 2013

The diesel engA control system of diesel engine speed regulation based on the structure of fuzzy neural network is proposed in this paper, which is combined with PID controller in order to regulate PID parameters dynamically. The simulation result proves that the system has good control capability and robust stability, as well as good self-study and self-adaptive ability.
Use N+ Buried Layer to Design a Low On-Resistance VDMOS
Authors: Tang Zhao Huan , Wang Bin , Wang Jia Nan , Tan Kai Zhou
Published: September 2013

A novel structure of a VDMOS in reducing on-resistance is proposed and experimentally demonstrated with a 200V N-channel VDMOS. With this structure, the on-resistance value of the VDMOS is reduced by 19.6% than that of a traditional VDMOS structure as the breakdown voltage almost maintained the same value, and there is only one additional mask in processing this new structure VDMOS, which is easily fabricated. By TCAD tool, the specific on-resistance value will reduce by 23%, and the value by 33% will be realized when the device is fabricated in three epitaxies and four buried layers. The novel structure can be widely used in high-voltage VDMOS and BCD areas.
Research on Direct Torque Control of Doubly-Fed Generator Based on DSP Technology
Authors: Ma Zhi Cai , Zhang Yue
Published: September 2013

Doubly-fed VSCF wind power generator has become the main machine because it can improve the efficiency of wind power and obtain the optimal energy output at rated wind speed. In the control of excitation on double fed generator,the technique of direct torque control become the mostly method.This paper adopts voltage space vectors subdivision technology of direct torque control technology that can improve the low frequency characteristic,and structure the experiment system based on DSP. The result indicated the project is feasiblIntroduction Wind power as a kind of green energy has attracted more and more attention. in recent years, wind power technology has made rapid development. Double-fed generator becoming the main type of wind power generator because of its capture wind energy efficiency at rated wind speed. At present, foreign countries have successfully applied direct torque control ( DTC ) technique in VSCF doubly-fed wind power generator, Whereas DTC exist the problems of low frequency excitation current aberrance and output torque ripple. Therefore, this paper puts forward the space vectors subdivision method to improve the low-frequency characteristicbased on the traditional direct torque control of doubly-fed generator, And structure the doubly-fed generator direct torque control experimental platform about the digital signal processor ( DSP ), realize the grid-connected power generation.
Study on Load Analysis of Frame for Pavement Cold Recycling Machine
Authors: Liu Jing
Published: September 2013

To analyze he load of the frame for pavement cold recycling machine. Firstly, the general conditions of the cold recycling machine was analyzed, the load impact factors and classification of cold recycling machine were expounded. Secondly, the load analysis was carried out by simulate the suffer force of machine and frame. Finally ,the reaction force of The front and rear Wheel are 103164N and 165471N, and the rolling resistance of the front and rear wheel are 2063N and 3309N, Horizontal direction force component of cutting force is 28800N,and perpendicular direction force component of cutting force is 23635N