bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Application of Wavelet Analysis in Fault Detection
Authors: Zhang Wen Xia , Guo Hua , Wang Yuan , Liu Yu
Published: September 2013

For the purpose of fast fault diagnosis and fault time point location, wavelet transform was used in the fault diagnosis in this paper, due to its singularity of the wavelet transform and multi-resolution properties, and it is verified the simulation examples, which illustrates different wavelet coefficients have different effect on the detection of mutation signal. Finally we obtained a general method of wavelet type selection.
A Study on Grey Correlation Degree Model of Venture Capital Intrinsic Value
Authors: Yin Lin Sen
Published: September 2013

In view of the disfigurement that the former research mostly focus on the evaluation of the investment value before investment, not only this paper uses for reference to the former evaluation system, but also successfully integrates it into a unity that the evaluation before investment and after investment. This paper designs a set of evaluation criterion and a set of actual state evaluation system. Comparing both of them is the essential start of evaluation. Then according to it, and based on the grey correlation degree theory, this paper constructs a set of compositive evaluation indexgrowth imitating degree, The method provides a primary analysis frame for monitoring venture enterprise fostering.
Contrastive Studies of Pun in Figures of Speech
Authors: Shao Qing Chen , Wang Zhen Zhen , Hao Zhi Jie
Published: September 2013

Contrastive Studies of Pun in Figures of Speech. Pun as a figure of speech uses a word or phrase to get two meanings: literal meaning and connotation meaning so as to achieve humorous or sarcastic sense. There are many similarities between English and Chinese but in many ways they are different, while people always subconsciously consider them as equal and use them in any occasions. To solve these problems, this thesis solves them through the contrastive study of English and Chinese rhetorical figure-pun. By analyzing and comparing English and Chinese puns in some typical sentences and dialogues through semantic, pragmatic, cultural perspectives, partial tone, forms, meanings and so on. This thesis show that pun between English and Chinese exists lots of similarities and differences from different perspectives. Through all the endeavors done in this thesis, a better understanding of both languages and cultures, and smoother translation would be obtained. Whats more, people can use puns in English and Chinese languages properly so as to eliminate unnecessary misunderstandings when communicating with others.
Two Dimension Numerical Simulation of Airflow over Complex Terrains at Low Altitude
Authors: Tang Chu , Hu Huan Ran , Hong Guan Xin
Published: September 2013

In order to avoid the problems of existing methods, a numerical simulation method for two-dimensional airflow over complex terrains is developed in this paper for the engineering use of flight dynamics. Based on the potential flow theories, the effects of terrains on the wind field are considered by a serial of two-dimensional vortexes, whose strengths are solved by combining with the ground boundary conditions. Numerical examples are studied by the proposed method, and the method is also evaluated by comparing the results with ones from the existing method. The result shows that the two-dimensional profile of complex terrains could be described by a cubic spline curve precisely. The computation procedure proposed in this paper is very simple and efficient, and it could provide a result of wind field with considerable accuracy. Therefore, this method could be used for flight principle evaluation and flight simulators. Finally, through simulate flight path, discussing effect of terrains on track.
Staggered-Grid Finite Difference Method for Numerical Simulation of the Formulated BISQ Model
Authors: Zhang Xin Ming , Fu Chang Ming , Guo Ting Ting
Published: September 2013

In this paper, based on the formulated BISQ model including the Biot-flow and squirt-flow mechanism simultaneously, the elastic wave propagation in the isotropic porous medium filled with fluids is simulated by the staggered grid finite difference method. The perfectly matched layer method and the flux-corrected transport method are used to eliminate the effect of boundary reflection and numerical dispersion effect. The results of numerical simulation demonstrate that the method is effective.
The Analysis of the Key Problems about Traffic Accident Speed Identification Based on Braking Traces
Authors: Guan Zhi Wei , Wang Shao Hua , Liang Wei Qiang , Zheng Ming Feng , Wu Lin , Liu Yang , Li Zhen Xing
Published: September 2013

In order to improve the impartiality and objectivity of judicial expertise, the key problems about traffic accident speed identification are analyzed and the speed of vehicle is calculated by using the braking performance test report with reference to the national standard and automobile theory. The automobile dynamics of driver braking process is analyzed, all kinds of key problems such as the braking distance, braking coordination time, braking speed, longitudinal sliding coefficient of adhesion are combined with the braking performance test report, and the method of determining the longitudinal sliding coefficient of adhesion is proposed, the instantaneous velocity before the collision is calculated. Finally, the method is used to calculate the speed of an actual case, and simulated in the software of PC-Crash, the results are consistent, verifying that the speed identification method is correct.
Support Vector Clustering for Outlier Detection
Authors: Wang Hai Lei , Li Wen Bo , Sun Bing Yu
Published: September 2013

In this paper a novel Support vector clustering (SVC) method for outlier detection is proposed. Outlier detection algorithms have application in several tasks such as data mining, data preprocessing, data filter-cleaner, time series analysis and so on. Traditionally outlier detection methods are mostly based on modeling data based on its statistical properties and these approaches are only preferred when large scale set is available. To solve this problem, in this paper we focus on establishing the context of support vector clustering approach for outlier detection. Compared to traditional outlier detection methods , the performance of the SVC is not sensitive to the selection of needed parameters. The experiment results proved the efficiency of our method.
Multi Point Temperature Measurement System Based on DS18B20
Authors: Liu Zhi Jun
Published: September 2013

In this design, AT89C51 microcontroller is as the core ; KEIL is as the system development platform; The C51 language is used to design program. Multi-point temperature measurement system is designed with the DS18B20 intelligent temperature sensor. Under the Proteus platform simulation, the data results of the system actual operation is analyzed.This design did not use DS18B20's usual 1-wire bus structure, but use the parallel port of 51 single-chip computer. At the same time the temperature of 4 DS18B20 sensors are fast read. Therefore,it realized rapid accurate recognition and processingin in multi-point temperature measurement system of multiple sensors,and this kind of distributed temperature measurement system interface is simple, high precision, strong anti-jamming ability , stable work etc..
Design of Mine Gas Monitoring System Based on Wireless Sensor Network
Authors: Gao Li Li
Published: September 2013

Monitoring system design of mine gas Monitoring System were designed according to the traditional lacked of the real-time and early warning functions and so on problems. mine gas Monitoring System was constructed successfully with Wireless Sensor Network Technology. And TinyOS structure programming language nesC was applied to prepare the system software. The wireless on time measurement of the gas density could be conducted. At the same time,SMS message was used to send real-time environment information to users, which containing user-defined periodic collection data and early warning document produced by microcomputer. The simulation and site test showed that the system operation was in normal, stable and reliable.
Control of Circulating Current for Direct-Parallel Connected PWM Inverters
Authors: Wen Chun Xue , Fang Kun Kun
Published: September 2013

It can not only make the system more flexibly, but also can make the maximum power higher by using the direct-parallel connected inverters. However, when grid-connected inverters operate in direct-parallel structure, it may lead to potential circulating current. So its important to inhibit circulating current. Its found that the circulating current can be suppressed by controlling the operation time of zero vectors during every PWM cycle of space vector pulse width modulation (SVPWM). Meanwhile, we can add a current-average loop to the system so as to make the circulating current smaller. Simulation results in MATLAB are presented to prove the effectiveness of this method in this paper.
Discussion on Issues Electrode Line Monitoring
Authors: Zhen Hong Yu , Li Feng Long , Wang Ya Song
Published: September 2013

The Electrode Line Monitoring is of single channel design and works as a complementary monitoring function to the Electrode Line Protection functions.
The New Method of Solar Power Generation Using Spin Angle and Elevation Angle Program Control with LabVIEW
Authors: Lu Qi Rong , Wang Lei , Tang Qi Lin , Yang Yu Jian
Published: September 2013

In order to reduce the power consumption of traditional tracking control, this article according to the tracking theory of spin new angle of elevation design of high precision two-axis solar tracking controller based on LabVIEW programming. The main method of control mode to calculate the position of the sun, using the S1337-1010BQ sensor to track the sun angle deviation automatic proofreading. According to the light intensity automatically adjust the reset program, can maximize the more light. After the test, a new tracking method tracking error is reduced, the photovoltaic efficiency is further improved.
Testability Modeling and Prediction Method with Unreliable Test
Authors: Luo Jin , Deng Qi Bin , Zhang Chen
Published: September 2013

For the problem of being lack of consideration of uncertain information during the process of current testability modeling and prediction, the testability modeling and prediction method based on uncertain information is researched from both aspects of uncertain test and uncertain relationship between failure modes and functions. A kind of model called hybrid diagnostic Bayesian networks is designed which is proven to be highly accurate the confidence of the testability prediction results.
Application of Controller with Complex Zeros in the Photoelectric Tracking System
Authors: Kuang Jiang Ming , Zhang Shuang
Published: September 2013

In the photoelectric imaging tracking system with the low frame-frequency CCD, low sampling frequency and delay in the system restrain the closed-loop bandwidth and the tracking precision of the system. In general, the zeros-poles cancellation method is employed in this system to cure for resonance and broaden the bandwidth of the system, but the method depends on the precise mathematical model and relatively higher sampling frequencies. In this paper, a PID controller with complex zeros is proposed and analyzed, which is applied to the FSM system based on the low frame-frequency CCD; next, good closed-loop performance obtained through the controller is presented. It is found from many experiments that zeros-poles cancellation cannot be applied to the tracking system with low sampling frequency without other assistant methods, which may not be required in the new method. Finally, the CCD with a frequency of 200Hz is used in the FSM tracking experiment to verify the method, and the experiment result shows that the performance of the system achieved by means of the novel controller can meet the design requirements.
Research on Empty Bottle Image Inspecting System Based on Machine Vision
Authors: Sun Hong Jun
Published: September 2013

Characterized with auto inspecting ability, high-speed and accuracy, machine vision technology is one of the most important means in medicine packaging and food processing industries. A structural system based on PC, DSP and visual sensor is presented in this paper. A sub pixel edge detection algorithm in image processing for high precision automatic alignment system which was an urgent problem on the actual machine vision field. The algorithm uses the spatial moments to detect the location of the edge in sub-pixel which improved the analysis speed and optimized the application of the whole system.
Investigation on the Austenizing Transformation Process in Continuously Heated X65 Microalloyed Pipeline Steels
Authors: Zhang Dan Tian , Qiao Zhi Xia , Huo Jie , Liu Yong Chang , Li Hui Jun , Yan Ze Sheng
Published: September 2013

Austenization is an important stage during the quenching-tempering heat-treatment process of X65 microalloyed pipeline steel, because it can influence the development of final microstructure and mechanical properties. In this paper, a detailed investigation was carried out on the austenizing transformation process in X65 microalloyed pipeline steel using high-resolution dilatometric technique and microstructure observations. According to the obtained dilatometric curve during continuous heating, the austenizing transformation process in X65 steel was apparently composed of two stages, 740-765°C and 765-875°C respectively. In order to clarify the microstructure evolution during the two stages, interrupt heat treatment tests were performed and subsequent microstructural observations showed that the first stage (740-765°C) was corresponding to the dissolution of fine carbides particles and the second stage (765-875°C) was corresponding to αγ phase transformation. Firstly, austenite nucleates at interfaces between fine carbide particles and ferrite matrix due to the high interface energy there and then the carbide particles dissolve into the austenite nucleus, which constitutes the first stage. After the fine carbide particles dissolve completely into the austenite nucleus, the ferrite matrix relatively far from the original carbide particles needs higher thermal driving force to transform to austenite, therefore the major αγ transformation occurs at higher temperature range (the second stage).
Predictive Control Algorithm in the Application of Computer Control
Authors: Liu Jing , Zhao Yu Chi
Published: September 2013

According to the error between the model predictive output and the future expected output, ILPC carries out an iterative learning and amending process on the current and the future control input vector, namely performs forecast, iterative amendment, forecast again, iterative amendment again repeatedly in the iterative domain. This paper gives a fast high-precision temperature control systems structure, characteristics and realization method. CARI model and the improved generalized predictive control method are used to improve the control precision of the system, and shorten the response time. The quick high precision temperature control systems structure and realization method are given, and according to the requirements of the task, the existing predictive control algorithm has been improved. Through the experiment, its temperature predictive control systems design scheme and realization method is proved to be reasonable and feasible. It can meet the demands for the expected temperature control.
Research on the Wireless Sensor Network Data Fusion Technology
Authors: Fan Ya Qin , Ding Yu , Liu Mei Lin , Zhang Xin
Published: September 2013

Wireless sensor network ( WSN ) is a kind of energy constrained network, by using data fusion technology, the elimination of redundant data, can save energy, prolong the network life purpose. Data fusion in wireless sensor network can realize different protocol layers, Based on the introduction of wireless sensor network and data fusion related knowledge, prove that the arithmetic mean method is effective, and use OPNET software tool for network simulation, finally, analysis results and conclude, verify effects of the arithmetic average fusion algorithm for wireless sensor network.
Desulfurization Study of an Iron Mine in Yunnan
Authors: Ding Peng , Liu Quan Jun , Pang Wen Hao
Published: September 2013

Experimental investigation was conducted on an iron mine in Yunnan, with grade of 35.10% and sulfur content of 1.19%. Through the analysis of ore properties, comparison of single magnetic separation and magnetic-flotation two different process, finally determined magnetic-flotation separation process, obtained high-quality iron ore concentrate with grade of 66.89% and recovery of 76.55%, and sulfur content of 0.15%, achieving good classification effect.
Process Planning and Simulation Validate of Welding Line for BIW Based on DELMIA
Authors: Lin Ju Guang , Shi De Chao , Liu Lei
Published: September 2013

Welding had always been paid attention to by the automobile manufacturers as one of the four technologies. This paper does process plan and simulation validate for BIW welding line using the virtual simulation technology based on DELMIA, including calculate the mainline beats and to determine the station number and function, simulate according to the layout, and output offline program at last. Practice had proved that this method can greatly improve production efficiency, reduce production costs, avoid delaying the progress of the project due to the pre-design problems.
On Competitive Strategy for Group Purchase Websites in China
Authors: He Bei Ying , Huang Bin
Published: September 2013

Due to low sanctified standard, on-line Group purchase has burgeoned in an unprecedented speed, becoming a most popular on-line shopping way for a great number of consumers. As the number of these websites increases, Group purchase industry is getting homogenized. With the market competition gaining its momentum in the market gradually, these websites sink into a dilemma. Our paper takes the current developmental status of Group purchase websites into consideration, which is characterized by five homogenized features, i.e., web page, goods, services, marketing and profiting model, to provides some competitive strategies on how it runs.
Large-Scale Wire-Speed Multicast Switching Structure Based on Multipath Self-Routing Switching Structure and Implemented on FPGA
Authors: Cui Kai , Li Hui , Zhu Zhi Pu , Chen Fu Xing
Published: September 2013

Ensuring high quality of service (QoS) of multicast video stream over next generation network is a challenging issue, and how to implement the wire-speed multicast with hardware logical support in the network nodes of every hierarchy is a key solution to achieve high QoS multicast. Currently, the multicast packets are processed in this way, in which they are copied and then scheduled by ports, lastly, sent respectively. But this approach cannot ensure high QoS in real-time applications. Moreover, the traditional hardware solutions do not possess excellent large-scale scalability owning to their own bottlenecks. In this project, we have constructed a wire-speed multicast switching structure based on Multipath Self-routing Switching Structure, and implemented it on a Stratix IV FPGA chip. Additionally, we have designed the signaling system and control mechanism to support the process of self-routing and wire-speed fan-out copy of multicast packets.
Model Predictive Control of Continuous Stirred-Tank Reactor
Authors: Li Shi , Zong Xi Ju , Hu Yan
Published: September 2013

This paper is concerns with the study of model predictive control of continuous stirred-tank reactor (CSTR). Firstly, a nonlinear mechanical model is established for a typical CSTR. Based on mass balance and energy balance, a set of ordinary differential equations are derived. Then, the model is linearized at steady-state point to obtain state space model, which is used in model predictive control (MPC). Finally, MPC strategy is applied, controller parameters and process constrains are discussed.
The Enterprise Stratagem Diagnostic System Based on Agent
Authors: Zhang Yuan Yuan
Published: September 2013

In order to solve the problem of The Enterprise Stratagem Diagnostic ,the system based on Agent by investigation is proposed. This paper presents the Aglet which is used to develop Agent. It uses diversified mutual mechanism to integrative analysis, studying and implement on logical stratagem diagnostic. The paper concretely declares the Master-Slave design pattern which satisfies the system and the Itinerary which is the intelligent rout arithmetic. The Master-Slave design pattern which is favorable of system development advances the repetition of code. The Itinerary arithmetic promotes the security of system and implements the intelligent of Aglet.
Research and Application of Integrated Scheduling Management System of Steelmaking-Casting-Rolling Based on Heat Process Model
Authors: Liu Li Jun , Wen Zhi , Su Fu Yong , Dou Rui Feng , Liu Xun Liang , Lou Guo Feng
Published: September 2013

by studying steelmaking-casting-rolling production process, a mathematical model of integrated batch planning is established innovatively to minimize processing costs of whole line and computed by an intelligent optimization ant algorithm. On the premise of utilizing and coordinating capacity of steelmaking and rolling, the mathematical model of integrated batch planning can create integrated batch planning to combine steelmaking-casting-rolling closely according to each process constraint conditions and optimization objective. Furthermore, another mathematical model of job scheduling based on heat process model is proposed to not only guarantee the logistics balance between continuous casting and hot rolling, but also acquire the highest ratio of DHCR and lowest energy consumption.
Spacecraft Fault Diagnosis Based on Telemetry Data Mining and Fault Tree Analysis and Design of Expert System
Authors: Gao Xiang , Zhang Tao , Liu Hong Jin , Gong Jian
Published: September 2013

In this paper, a fault diagnosis method for spacecraft based on telemetry data mining and fault tree analysis was proposed. Decision trees are constructed from the history telemetry data of the spacecraft, and are used to classify the current data which is unknown whether it is fault. If there is a fault, the fault tree method will be used to analyze the fault reason and the impact on the spacecraft system. This method can effectively solve the problem of diagnostic knowledge acquisition. We design and construct a fault diagnosis expert system for spacecraft based on this diagnosis method. An experiment is presented to prove the effectiveness and practicality of the expert system.
Research and Application of Automatic Measuring System in Fermenters Total Sugar Content
Authors: Yang Qiang , Chen Xiang Guang , Wu Lei , Liu Han
Published: September 2013

In order to achieve the automatic measurement of the total sugar content in Chlortetracycline fermentation kettle, MSP430 is designed as the hard core of the automatic measurement system. Based on MSP430 MCU, opening and closing valves of the automatic measurement system can be controlled, and the total sugar content can be acquired by measuring dope from filter. Wind turbine and valves of automatic measuring system are controlled in order to prepare for the next measurement of total sugar content. MSP430 software environment is developed using C language, and upper computer display system is developed using LabVIEW. The system motion state can be observed through the upper computer system. MSP430 can be connected upper computer through the RS232 protocol for data communications. Experimental results show that the automatic measurement system can meet the requirements of the actual application.
Research of Flight Control System Maintenance Model Based on ARINC624 Specification
Authors: Zhou De Xin , Zhang Wei , Yang Lei
Published: September 2013

According to a detailed study of the fault tree model of the flight control system about Boeing 777, a pre-program was established for the fault tree. The minimal cut sets of the treetops event was calculated by Fussell-Vesely algorithm. And the directed graph search process based on DFS and fault tree module searching method based on double DFLM was used to achieve modular decomposition of fault tree. Therefore, a better structure tree and better rules generate. Finally, it combines the fault tree fault model with the ARINC624 specification to achieve communication requirements between the central maintenance system and flight control system. The Boeing 777 maintenance model was realized.
Selection and Analysis of Servomotor for Three-Axis Transmission System in CNC Machine Tool
Authors: Wang Yi Chen , Yu Xiu Xia , Wu Li
Published: September 2013

Based on the load torque ratio, load / rated speed ratio, the temperature rise ratio and load / motor inertia ratio of servo motors optimization matching principle, servo motor selection mathematical model of transmission system in CNC machine tool is built, compared to traditional selection algorithm, which is using the actual duty cycle conditions to optimal matching and analyzing. Then motor models available to meet the maximum utilization of the servo system, achieve the purpose of improving motor performance and reduce costs. In this paper, by taking servo motor selection of three-axis transmission system in a CNC machine tools for example, horizontal, inclined and vertical transmission systems parameters selection and calculation are analyzed in detail. With the engineering test and motor control software, measure data is achieved, the reasonableness of the method in the paper is proved.
Study on Automatic Control of Urban Traffic Based on Computer Vision
Authors: Sun Peng , Ding Tong Qiang , Zheng Li Li
Published: September 2013

Urban traffic control is not only a real-time control system but also random, non-linear, uncertainty complex system; the article discusses the use of PLC (programmable logic controller) control technology and fuzzy control method for traffic signal control system and how to complete the complex traffic control by using communications link technology between computers and application of fuzzy control theory, make vehicle and road navigation to realize intelligent.
MTF Measurement Research on Satellite Remote Sensing Images Based on the Knife-Edge Method
Authors: Wen Hai Bin , Wen Jian Guo
Published: September 2013

In-orbit testing of Modulation Transfer Function (MTF) is an important index of monitoring in-oribit operation performance of the space optical remote sensors. How to grasp the change of remote sensor imaging system in operational process accurately concerns the use of remote sensing data reasonably and effectively. We analyse the knife-edge method for testing the principle of the MTF and the simulation algorithm, and tests the accuarcy of the algorithm. The analysis results demonstrate that the algorithm of this paper has higher precision for the calculation of MTF of in-oribit remote sensing image, and can resist noise effectively. Whats more, we focus on anlaysing the main factors of the precision of edge method influenced by edge fitting. The analysis results show that the edge data need to be interpolated non-parametrically when the edge is fitting.
The Planning of Maintenance Support Capabilities of the Wartime Armored Equipment Autonomic Logistic System Based on QFD
Authors: Chen Wei Long , Chen Chun Liang , Shi Wen Hua
Published: September 2013

In order to solve the problem of lacking development planning and unclear key development point for the wartime armored equipment autonomic logistic system, components, system structure, system requirements and competence objectives of the system is analyzed. A Quality Function Development model of the planning of maintenance support capability is put forward and solved. The result shows that information support capability, condition monitoring capability and reasoning capability are main influence factors of maintenance support capability of the wartime armored equipment autonomic logistic system.
A Kind of Environment Monitoring System Used for Aircraft Fire Training Simulator
Authors: Fei Chun Guo , Zhang Jin Long , Liu Tian Hao , Xu Hai Zhong
Published: September 2013

Aircraft fire training simulators are key facilities in airport used for firefighters to do firefighting trainings. In order to protect the safety of firefighters, the monitoring system should be applied to monitor the internal environment of the simulator. In accordance with the requirements of the training environment, a kind of monitoring system based on MCU and GPRS communication components are built. The parameterized PID controller, the sensor detection module, the fan and spray drive module are consisted of closed-loop to achieve real-time control and regulation on the smoke and temperature of the internal simulator. Using GPRS module, the internal scenes of the simulator are sent to the command center through the information transmission system. Based on the information transported from training site, command center can take the appropriate training programs to guide firefighters. Use this system, the training safety is ensured and the training efficiency is improved at the same time.
A Case Study of Distributed Network Fault Detection Technology in Distance Education
Authors: Tang Qian Jun , Zhang Yan , Li Yong Ju
Published: September 2013

The intrusion detection under the environment of IPv6 is an important security technology along with firewall in system security defense system, which can be used for real-time detection and monitoring of the system in the whole process of system invasion. This paper puts forward an intrusion detection system under IPv6 platform based on intrusion detection feature attribute reduction by using pattern matching, so as to expand the range of application and user group of the security products. By the analysis and comparison of various pattern matching algorithms, the new algorithm realizes the intrusion feature module matching under IPv6, and make detection system be of high efficiency. Later experiments have proved this view.
Structure Analysis and Pressure Control of Electro-Hydraulic Braking System
Authors: Wu Dong Mei , Ding Hai Tao , Guo Kong Hui , Li Yang , Zhang Hu
Published: September 2013

The structure design and pressure control of electro-hydraulic braking system (EHB) is essential for electric vehicles, which is critical to the braking energy recovery and vehicle stability control. In this paper, the overall structure of the electro-hydraulic braking system is analyzed, and classification method according to how the braking pedal is decoupled with the braking pressure is proposed. Through the PID control method to achieve pressure following control, it lays the foundation for electric vehicle stability control.
Spectral Efficiency of Phase Encoding OCDMA Systems
Authors: Chen Xiao Gang , Jiang Chao , Liu Zhao Xu , Huang De Xiu
Published: September 2013

The spectral efficiency and bit-error-rate (BER) of phase encoding optical code division multiple access (OCDMA) systems is evaluated, coherent time-spreading (TS) and spectral phase encoding (SPE) OCDMA systems are considered. The results indicate that SPE-OCDMA has better tolerance to performance degradation due to receivers bandwidth limitation than TS-OCDMA system, while for the practical en/decoders with implementable longest code length, TS-OCDMA can yield a spectral efficiency advantage over SPE-OCDMA systems.
Energy Field Filling of NEIC Broadband Radiated Energy Catalogue Based on Method of Least Squares
Authors: Wang Mao Fa , Liu Qing Jie , Feng Ji Lin , Zhang Zhen
Published: September 2013

Earthquake prediction is one of the most difficult problems in modern natural science. Undoubtedly, various seismic parameters included in broadband radiated energy catalogue of NEIC is very important data source of investigate correlation between differernt earthquake within specific time space scope and earthquake prediction. In the paper, we a linear fitting mode of seismic magnitude based on method of least squares and seismic energy is established, using which we can fill the absent energy filed in the broadband radiated energy catalogue.
Current Source Design for 3D Magnetic Field Simulation
Authors: Li Zhi , Pan Shu Bao
Published: September 2013

This paper designs a current source which is used for simulating the three dimensional magnetic field. Gives the circuit schematic, Analyzes the design principle of the circuit and puts forward the calibration method of software which is suitable for the operation in microprocessor and improves the output accuracy of the constant current source. Actual test shows that the output of the constant current source is 0.1mA-500mA and the precision error is less than 0.03% of full scale. It has been used in the degaussing device testing and maintenance. The performance is stable and reliable achieves good results.
Research of Radiographic Image Enhancement Technology
Authors: Chen Yan , Shao Yan Ling , Gui Zhi Guo
Published: September 2013

mage enhancement has applied widely in biomedical, nondestructive testing, satellite remote sensing and other fields. Especially for the low contrast radiographic images, usually there are some disadvantages for a radiographic image such as the local area image does not show a striking contrast. In order to improve the clearness of low contrast radiographic images, in this paper we combined global adaptive equalization with local dynamic enhancement,then we simulate this enhancement algorithm. The new method will not only effectively increase the global contrast of low contrast radiographic images, but also intensify local details. Because the new algorithms contrast enhancement coefficient function can be adjusted dynamically and locally, the new algorithms are not only adaptive to the process of radiographic images but also having great reference value to the other grayscale images.
Segmentation of Fabric Defect Images Based on PCNN Model and Symmetric Tsallis Cross Entropy
Authors: Wan Hong , Wu Yi Quan , Cao Zhao Qing , Ye Zhi Long
Published: September 2013

Segmentation of defect images is an important step in the automatic fabric defect detection. In order to extract fabric defects effectively, a segmentation method of fabric defect images based on pulse coupled neural network (PCNN) model and symmetric Tsallis cross entropy is proposed. The image is segmented by PCNN according to the gray strength difference between fabric defect area and non-defect area. To guarantee that the grayscale inside the object and background is uniform after segmentation, symmetric Tsallis cross entropy is used as the image segmentation criterion to select the optimal threshold and iteration number. A large number of experimental results show that, compared with the related segmentation methods such as Otsu method, PCNN method, the method based on PCNN and cross entropy, the segmentation effect of the proposed method is the best. The texture of non-defect area is removed more completely, and the defect area is segmented more accurately.
Change Detection of Multi-Temporal Remote Sensing Images Based on NSCT and ICA
Authors: Cao Zhao Qing , Wu Yi Quan , Ye Zhi Long , Wan Hong
Published: September 2013

In order to improve the accuracy and computational efficiency of change detection of multi-temporal remote sensing images, a change detection algorithm based on nonsubsampled contourlet transform (NSCT) and independent component analysis (ICA) is proposed. The flexibility of NSCT in image decomposition and the effectiveness of ICA in image separation are used comprehensively. Firstly, multi-scale decomposition of remote sensing images is performed by NSCT. Then the decomposed low-frequency components and high-frequency components form into partitioned vectors. ICA is carried out for the partitioned vectors and separates mutual independent components. Next the separated components are transformed into image components which include the change image. Finally, change detection result is achieved by threshold segmentation and filtering of the change image. The experimental results show that, compared with the algorithm based on ICA, the algorithm based on wavelet transform and ICA, the proposed algorithm separates change information more effectively and reduces computational complexity. The obtained change image has higher accuracy and stronger robustness to the background.
Feature Extraction Method for Wheat Diseases Based on Multi-Fractal Spectrum
Authors: Zhang Fei Yun
Published: September 2013

Wheat diseases image noise was effectively removed using lifting scheme multi-wavelet transform and multi-fractal analysis, and then it used multi-fractal theory to segment diseases image and extract eight multi-fractal spectrum values as wheat shape feature of diseases. Experiments showed that the shape characteristic value of different wheat diseases had great difference, and the shape characteristic value of similar diseases had certain regularity. Therefore, it could extract shape characteristic value to recognize wheat diseases.
Extraction of Image Features on Tooth Flank Pitting and Gluing
Authors: Cheng Peng Fei , Nie Guang Hua
Published: September 2013

Tooth flank pitting and gluing are principal forms of gear defect. The purpose of this research is to extract the image feature of the gear in the different defects by means of image processing technology. Firstly, the image was carried out denoising processing by median filtering and segmentation processing by use of OSTU method. Then, the pixel area was extracted as a feature to distinguish normal gear, tooth surface pitting and gluing, the inertia was extracted as image feature to detect pitting and gluing by Gray level co-occurrence matrix, and the morphological characteristics of the image were extracted. Image feature extraction of different defect form will help to establish an effective image recognition model.
Lymph Node Image Segmentation Based on Improved FCM Clustering and Multi-Threshold
Authors: Zhang Yan Ling , Zhang Yue Jia , Li Li
Published: September 2013

The pathological change of lymph node is an important basis of malignant tumor detection and judgment of metastasis of cancer (lung cancer, colorectal cancer, breast cancer, liver cancer, cervical cancer, etc.) An algorithm of lymph node image segmentation based on improved FCM clustering and multi-threshold is proposed to segment the lymph CT image with blurred edge. First, the improved FCM peak clustering is used to sharpen the fuzzy boundary of lymph CT image effectively. Then the multi-threshold algorithm based on image entropy change is introduced to segment enhanced images. The experiment shows that the above algorithm can obtain better segmentation results compared with the traditional FCM clustering method in the case of the fuzzy edge of the lymph node tissue.
Recent Progress in Human Face Detection, Tracking and Recognition
Authors: Peng Xiao Ming
Published: September 2013

Facial recognition is an important research topic in biometrics and has wide applications in pattern recognition and computer vision. This paper aims at providing interested readers with recent progresses in human face detection, tracking, video-based face recognition, and 3D+2D hybrid face recognition. For this purpose, it mainly focuses on those state-of-the-arts methods and technologies that emerged in recent previous few years. Most existing methods in this area are still-image based which do not utilize motion information; whereas most video-based methods work only in 2D video sequences, which are subject to pose and illumination variations. The recent emergence of 3D video cameras capable of producing range image sequences and corresponding texture image sequences simultaneously allows for the possibility of facial recognition in a 3D+2D video-based scenario. In view of this fact, a scheme of face detection, tracking and recognition process in 3D video-based manner is also proposed in this paper with further concerns addressed.
A Remote Educational Video Dynamic Image Sharp Processing Algorithm
Authors: Tang Qian Jun , Zhang Yan
Published: September 2013

In distance education network transmission process, because transmission distance is too long, transmission network will be affected by complicated external environment factors, which leads to network failure and failure in remote education video image formation, and finally causes unsmooth transmission. This paper puts forward a distributed network fault detection technology to perform fault detection for remote education transmission network nodes and characteristic analysis of the use of network fault by using genetic neural network, accurately locate fault node area so as to realize the remote education networks fault detection. Experiments show that this method can avoid distance education network fault resulted from long transmission distance and improve the transmission efficiency of remote education video image.
Indoor Passive Millimeter-Wave Imaging for Concealed Object Detection
Authors: Dong Shou Long , Chen Xiang Guang , Yu Wang Yang , Yin Yan Hua
Published: September 2013

Passive millimeter-wave (PMMW) imaging is an effective technique for concealed objects detection. A PMMW imaging system optimized for corresponding with indoor surroundings is developed and tested. The metal is deposited on the surface of carbon fiber by chemical plating process and the temperature contrast between the human body and concealed objects can be improved by adding the metal deposited carbon fiber to concealed objects. An image enhancement algorithm is proposed on the basis of the combination of wavelet transformation and top-hit transformation, and the experiment results demonstrate that the algorithm proposed is highly efficient for the indoor passive millimeter-wave images. Furthermore, Lucy-Richardson iterative, restricted least square algorithm and user-defined palliative module filtering are combined to process the detecting images, and then the edge detection can be effectively realized using Canny arithmetic operator.
SAR Image Compression by Using Neural Network in Wavelet Domain
Authors: Li Min , Zhang Xiao Ying , Lu Lin Ju
Published: September 2013

According to the characteristic of SAR image containing the multiplicative speckle, a kind of neural network image compression algorithm in wavelet domain was proposed. Wavelet transform can well reflect the characteristics of human vision, but the neural network has self-learning, adaptive, robust, highly parallel processing ability and generalization ability. The wavelet and neural network together in SAR image compression compared with other encoding methods, has obvious advantage. Compared with block-DCT algorithm and sub-band DWT method, this algorithm preserves more advantage in speckle reduction and image details keeping, the compressed image with visual features the best.
Design of 3D-Route Planning Based on the Improvement of Simple Genetic Algorithm
Authors: Zhang Jian Xia , Yu Tao , Chen Ji Ping , Lin Ying Hao , Zhang Yu Meng
Published: September 2013

With the wide application of UAV in the scientific research,its route planning is becoming more and more important. In order to design the best route planning when UAV operates in the field, this paper mainly puts to use the simple genetic algorithm to design 3D-route planning. It primarily introduces the advantages of genetic algorithm compared to others on the designing of route planning. The improvement of simple genetic algorithm is because of the safety of UAV when it flights higher, and the 3D-route planning should include all the corresponding areas. The simulation results show that: the improvement of simple genetic algorithm gets rid of the dependence of parameters, at the same time it is a global search algorithm to avoid falling into the local optimal solution. Whats more, it can meet the requirements of the 3D-route planning design, to the purpose of regional scope and high safety.
The Research of Acceleration Methods which Based on GPU Hardware
Authors: Xu Jin , Mei Zheng Mao , Zhou Yu Ling , Wang Qiao
Published: September 2013

In todays world, the web pages are both descriptive and graphic. The videos are more vivid, and the games more realistic, and so on, which all demand for the ability of concurrently processing greater data flow. Considering that the CPU has more control unit but less calculation unit, so the CPU can not meet multitasking and more concurrently processing greater data flow. But GPU has amount of calculation unit, and it can meet easily. In order to achieve the effect of hardware acceleration, this paper dealing with the redundancy comes from data transmission between CPU and GPU,optimized communication module, raised a VIP channel to multistage process the signals of 2D and 3D,and increased the logic of hardware and the ability of processing the driver from user layer.
Constructing Secure Cloud Computing Platform for Strong Smart Grid
Authors: Zhang Tao , Ma Shou Ming , Lin Wei Min , Ma Yuan Yuan
Published: September 2013

As a new paradigm for hosting and delivering services over the Internet, cloud computing technology especially suitable for dealing with series of problems in strong smart grid. However, despite the fact that cloud computing offers huge opportunities to the strong smart grid, the development of cloud computing technology is currently at its infancy, especially with many security issues to be addressed. In this paper, we present the overall architecture and benefits of cloud computing applications in strong smart grid. After that, we propose a unified security protection system framework of power cloud computing and give some practicable security protection suggestions.
The Research of LCD Driver on Embedded Linux System
Authors: Xu Jin , Zhou Yu Ling , Guo Jing
Published: September 2013

This thesis is written based on embedded Linux system with 2.6 kernel and S3C2410 Microprocessor platform. The LCD driver framework and several important data structures based on framebuffer are analyzed in depth by the introduction of the working principle of framebuffer. And the implementation method of LCD driver is provided in this thesis.
Mean-Square Exponential Stability of Stochastic Interval Cellular Neural Networks with Time-Varying Delay
Authors: Han Jin Fang
Published: September 2013

This paper is concerned with the mean-square exponential stability analysis problem for a class of stochastic interval cellular neural networks with time-varying delay. By using the stochastic analysis approach, employing Lyapunov function and norm inequalities, several mean-square exponential stability criteria are established in terms of the formula and Razumikhin theorem to guarantee the stochastic interval delayed cellular neural networks to be mean-square exponential stable. Some recent results reported in the literatures are generalized. A kind of equivalent description for this stochastic interval cellular neural networks with time-varying delay is also given.
52°North WPS and its Application in Fire Emergency Response
Authors: Zhao Yan Yan , Liu Xue Feng , Mao Jian Hua , Yang Xiao Ling , Wang Hao Ran
Published: September 2013

This paper researches the feasibility of real-time processing data from Sensor Web by means of Web Processing Service (WPS), which isnt dependent on the platform of the traditional monolithic GIS. On this base, an actual solution is provided to configure and transform some monolithic GIS services into accessed web services, at the same time the customer could automatically get data offered by Sensor Web and simulate processing up-to-date information to obtain desired results in client-side , which could visualize quickly to provide critical and timely help for users at crucial moment. The applicability of the solution is demonstrated by a fire scenario in which we employ WPS framework of 52North project and the client-side is OpenLayers.