bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Tests of Audio Directional System
Authors: Zhang Yang , Tao Li Min
Published: September 2012

Audio directional system is a new-style loudspeaker, which can project the sound beam onto a given region as light beam. In this paper, the basic working principle and the system components of audio directional system are proposed. The total harmonic distortion of the self-demodulated signal is analyzed based on “Berktay far-field solution”. Besides, this paper has designed the audio directional experimental system whose performances have been tested. The shortcomings of the self-demodulation theory are pointed out after the comparison between the test data and the theoretical analysis results.
Research on the Battlefield Ferromagnetic Targets Recognition
Authors: Wu Cai Peng , Deng Jia Hao , Wu Xiao Yi , Yan Li Jun , Wang Lin
Published: September 2012

In-depth analysis of the characteristics of the battlefield on the basis of ferromagnetic targets, according to the problems of magnetic fuse detection system, such as low detection resolution and poor status of target recognition, the new type of magnetic sensors based on Giant Magneto-Impedance(GMI) effect, because of the sensitivity, power consumption, etc. natural advantages, with its fuse detection system for the magnetic core components, combined with fuzzy neural networks, can guarantee that probe nano-Tesla(nT) accurately identify the target within the scope. Then, equable magnetization rotation elliptic is used to simulate the tank and military truck, taking the magnetic moments and semi-focal length, that are Mx, My, Mz and c, as recognition characteristic quantity, and the FNN is used to recognize the tank and military truck including the categories and motion directions. The method achieved good recognition results through experimental verification, and it has great significance to improve detection range and recognition accuracy.
Study on the Calculation Methods for Weak-Nonlinear Rotor System and its Response
Authors: Li Gui San
Published: September 2012

The operation condition of the rotor system is strong nonlinear state; even with severe breakdown, weak nonlinear state appears; due to the nature of the rotor system is nonlinear. The system of the weak nonlinear state could mutate for strong nonlinear state. So the rotor system of weak nonlinear state vector in the system analysis and fault diagnosis is very important. Therefore, this paper analyzes universality of weak nonlinear of the system. It introduces segmentation system displacement vector into two little freedom of time to approximate equation system vector into a order system method.
Design of the Dual-Curvature Door Glass Guide System
Authors: Gao Yun Kai , Feng Hai Xing , Zhou Xiao Yan
Published: September 2012

The drum surface method was proposed to fit the dual-curvature glass. Based on the drum line principle, the proportional function method is used to obtain the guide channel curve and the guide rail curve. According to the analysis of motion deviation, the max position deviation is less than 0.5mm and the results satisfied the engineering deviation requirements. It is proved that the fitting method of the door glass surfaces, the design of the guide channel curve and the guide rail curve are reasonable.
The Research of In-Car Audio Entertainment Node Based on CAN
Authors: Wang Zhi Xue , Cheng Wei , Zhang Xiao Bo , Yu Liang Jie
Published: September 2012

In the paper, an in-car audio entertainment node is designed, which is a kind of pre-installed automobile electronic assemblies. In order to reduce auto wiring harness and solve the communication problem between nodes, the hardware and software of the electrical control system were designed by using body CAN bus technology. The product has been successfully applied in a model which is made in joint ventures with foreign auto makers. The practical operation shows that functions are practical and reliable. It reaches completely design requirements, with good user experience and value.
A Stripline-Type Inductor Used for NMR Detection
Authors: Wu Bao Song , Xiao Li Zhi , Li Xiao Nan , Guo Bao Xin
Published: September 2012

This paper tries to design a stripline-type inductor with high sensitivity that is used for micro-fluid in downhole nuclear magnetic resonance (NMR) detection. It discusses the design theory for the probe, and does analysis and simulation to guide the optimal geometric parameters. Radiofrequency B1 field homogeneity is evaluated. Finally, the prototype is made.
Assembled Singlemode and Graded Index Fibers Simulating Collimator for All Fiber Common-Path Optical Coherence Tomography
Authors: Li Yan Jun , Zhu Ji Gui , Liu Zhong Dong , Xiao Hai
Published: September 2012

A single mode fiber assembled with a specified length graded index multimode fiber as a collimator, which is used in common-path optical coherence tomography (CPOCT) is described in this paper. Compared with conventional collimator lens, this assembled fibers structure possesses the advantages of small volume, easy to be fused or connected with other part of the CPOCT system. Furthermore, with this assembled structure an all fiber CPOCT system is constructed which has the potential to detect the internal bodily organs and tissues of human being. Numerical simulation and experiments are implemented to verify the effectiveness of this method.
A Novel Charge Pumped Clock Generator for VLSI
Authors: Hu Rong Bin , Liu Kun , Tang Jie
Published: September 2012

In this paper, a novel charge pumped clock generator is proposed, which can pump the reference cock to a level as high as double Vcc, while keeping the low level of the clock unchanged. The proposed circuit is very suitable for low voltage IC design to attain low on-resistance of MOS switch while keeping the parasitic capacitance small, which results in high speed of the circuit. The stimulated results show that the pumped clock has rising and falling time of 50ps and 67ps respectively.
Application of Optoelectronic Liquid Lever Sensor in Urban Bridges Deflection Monitoring
Authors: Li Yi , Guo Zhong , Chen Bao Chun
Published: September 2012

The deflection which reflects the bridge linear variety is an important parameter for the evaluation of bridge safety. According to the structural characteristics of urban bridges, the connected pipe optoelectronic liquid level sensor system is a novel kind of sensor for detecting the connected pipe liquid level, which can be applied for multipoint, long-period, online, remote, automatic measurement of bridge deflection, it is not affected by the dust, humidity and fog in the urban bridge health monitoring and maintenance. At present, the system has been integrated and applied in the project of main roads bridge Online Safety Monitoring Management System in Hangzhou (Phase II), a web-based urban bridge cluster monitoring system have been established since 2007. According to a tied arch bridge case studies, the measuring data show that the system not only can accurately collect the bridge normal deflection information and variety, but also successfully monitored the structural responses due to the Wenchuan earthquake on May 12, 2008. About two-minute abrupt changes in displacement amplitude were observed in the measured signals starting at 14:37, about 9 minutes later than the earthquake’s occurring. The results shows, it is an effective method for the real-time monitoring of urban bridge deflection.
RFID Application in Dangerous Chemicals Safety Management
Authors: Wang Xue Feng , Xie Jia Jia , Liu Ying Hui
Published: September 2012

RFID, a radio frequency identification technology, it is a kind of communication technology, through the radio signal to identify specific targets and to read and write data, without the need for recognition system with specific target is established between the mechanical or optical contact. Dangerous chemicals as a special commodity, has greatly improved the life of people, but its inherent danger to human survival threat. Based on RFID technology, this paper proposed some ways and methods of dangerous chemicals management, to strengthen the management of dangerous chemicals and reduce the heavy accident to occur with the people's lives and property loss.
Analyses and Implement on Monitoring Insulator ESDD by Optical Spectrum
Authors: Luo Dong Song , Huang Jing Mei
Published: September 2012

Aimed at the complicated nonlinear relationship between the flux attenuation and various on salt density factors, the luminous flux attenuation, relative humidity and ash density are chosen as inputs, the ESDD (the equal salt deposit density) is chosen as output, a RBF neural network model which can solve the modeling and control problem preferably in complex system with serious nonlinear is built. This model shows high accuracy after training by orthogonal least square (OLS) learning algorithm.Then ESDD online monitoring system is developed for fieldwork with the application of the model results.
A P2P Traffic Detection Method Based on Support Vector Machine
Authors: Gong Shang Fu , Chen Juan
Published: September 2012

The widely use of P2P (Peer-to-Peer) technology has caused resources take up too much, security risks and other problems, it is necessary to detect and control P2P traffic. After analyzing current P2P detection methods, a new method called TCBDM (Traffic Characters Based Detection Method) is put forward which combines P2P traffic character with support vector machine to detect P2P traffic. By choosing P2P traffic characters which differ from other network traffic, such as Round-Trip Time (RTT), the method creates a SVM classifier, uses a package named LIBSVM to classify P2P traffic in Moore_Set data sets. The result shows that TCBDM can detect P2P traffic effectively; the accuracy could reach 98%.
Design of a WiMedia/MBOA 0.13μm CMOS Front-End
Authors: Zhang Hong , Liang Yuan
Published: September 2012

This paper addresses the design of a 3.0-8.0GHz direct-conversion receiver front-end chip for ultra-wideband (UWB) WiMedia/MBOA data communication. It comprises a partial noise cancellation broadband low-noise amplifier (LNA) and a linearity enhancement quadrature mixer. The simulation results show that the chip performance achieved the input reflection coefficient better than -11dB along the entire band and a minimum single sideband noise figure (SSB NF) of 6.57dB at IF frequency of baseband. The conversion gain ranges from 24.9dB to 29.5dB while the input third order interception point (IIP3) ranges from 1.5dBm to 8.7dBm. The chip core merely consumes 20mW from 1.2V supply.
Differential Autoregressive of Cycle Prediction Model and its Application
Authors: Luo Cai Lian , Qi Huan , Sun Su Qin
Published: September 2012

AR model is widely used which based on stationary time series used for short-term prediction. However, in fact the time series we got is often non-stationary, and there is little literature researching the smooth processing, modeling and forecasting and then restoring the results in system. In view of this, this paper provides a method, that is, differential autoregressive of cycle prediction. First, explain the basic principles and give the calculation steps of smooth processing, modeling and forecasting and restoring the results. Then, applied the prediction method in the short-term forecast of coal arrive of a provincial. Model implementation is based on java programming. We get high prediction accuracy, the system easily integrated, can be widely used, and can achieve rolling forecast.
A Multi-Classification Method Based on Gaussian Processes
Authors: Wei San Xi , Sun Zong Hai
Published: September 2012

Gaussian processes (GPs) is a very promising technology that has been applied both in the regression problem and the classification problem. In recent years, models based on Gaussian process priors have attracted much attention in the machine learning. Binary (or two-class, C=2) classification using Gaussian process is a very well-developed method. In this paper, a Multi-classification (C>2) method is illustrated, which is based on Binary GPs classification. A good accuracy can be obtained through this method. Meanwhile, a comparison about decision time and accuracy between this method and Support Vector Machine (SVM) is made during the experiments.
Attribute Reduction Algorithm for Fuzzy Decision Table with Membership Degrees and Weights
Authors: Zhu Hao Dong , Li Hong Chan
Published: September 2012

The classical rough set can not show the fuzziness and the importance of objects in decision procedure because it uses definite form to express each object. In order to solve this problem, this paper firstly introduces a special decision table in which each object has a membership degree to show its fuzziness and has been assigned a weight to show its importance in decision procedure. And then, the special decision table is studied and the relevant rough set model is provided. In the meantime, relevant definitions and theorems are proposed. On the above basis, an attribute reduction algorithm is presented. Finally, feasibility of the relevant rough set model and the presented attribute reduction algorithm are verified by an example.
Design and Implement of the Reconfigurable Algorithm Based on uC/OS-II
Authors: Le Shu Ping , Xiong Zhi Wen , Zeng Hong
Published: September 2012

More and more applications need The ability to customize the architecture to match the computation and the data flow of the application, so increasingly new system implementations based on reconfigurable computing are being considered. Reconfigurable computing has potential to accelerate a wide variety of applications; its main feature is the ability to perform computations in hardware to improve performance, while retaining the flexibility of software solutions. An operating system (OS) for reconfigurable computing uses new versions of algorithms for the scheduling, the operating system must decide how to allocate the hardware at run-time based on the status of the system. This paper discusses the scheduling algorithm for reconfigurable computing platform, covers two aspects of reconfigurable computing: architectures and design methods. The tasks are divided into two categories in this survey, consider the issues involved in reusing the configurable hardware during program execution. And improve μC/OS-II to manage the use of reconfigurable resources, responsible for task scheduling, helping the programmer to concentrate more on application development.
Reach of Key Management Strategy in Digital Television System
Authors: Dong Xue Feng , Wang Zhao Ping
Published: September 2012

In view of the DTV system demand, from the encryption digital television key production, the key protection, the key renewed the entire key management process which transmitted until the key to carry on the discussion, proposed with the commercial CAS different key management strategy, improved the key production and the renewal way, designed has been suitable for the above digital television decipherment scheme key management plan, through from produced the key the method to reduce the correspondence expenses effectively, might transmit under the limited band width most according to Pass through in the ground clear channel simulation transmission, the simulation result indicated that, this plan deciphers effect and the primitive sound/video frequency difference is not big, therefore this plan has the low mistake sensitivity. Through to the simulation result analysis, proved this article designs the decipherment scheme suits the DTTB system compared to wired environment under CAS.
Shortest Travel Path Searching System Based on Dijkstra Algorithm
Authors: Sun Ya Qi , Liu Yu , Xiao Kuo Hua
Published: September 2012

The existing transportation service system in public travel route can not satisfy the people's actual travel need because of various technologies reasons. In our study, we set the tourist attractions as a vertex, and simplified the traditional algorithm for complex network computing. Aim to use the advantage of Dijkstra algorithm, the Dijkstra algorithm was applied to tourism path search. The experimental results have illustrated that the Dijkstra algorithm can accomplish a good result in search efficiency.
DSC Experimental Study for Crystallization Process of Amorphous Alloy
Authors: Xu Cun Shan
Published: September 2012

Bulk metallic glass (BMG) formers are multicomponent alloys that vitrify with remarkable ease during solidiﬁcation. Technological interest in these materials has been generated by their unique properties, which often surpass those of conventional structural materials. The metastable nature of BMGs, however, has imposed a barrier to broad commercial adoption, particularly where the processing requirements of these alloys conﬂict with conventional metal processing methods. Research on the crystallization of BMG formers. In this paper, we fabricated metallic glass of Nd-based and carried out experimental research. This kind of metallic glass has shown a distinct glass transition and stable super-cooled liquid region. At the same time, we find the paramagnetic performance of Nd-based metallic glass is different from other hard magnetic alloys at ordinary temperature. The DSC experiment indicate that the glass transition temperature increase with the heating temperature.
Research on Vehicle Optimization Scheduling of Highway Transportation in Logistics Industry Based on GA
Authors: Xu Hong Tao , Yin Kai , Huo Dong Fang , Yin Gang
Published: September 2012

Because highway transportation is a main form of logistics, the vehicle Optimization scheduling is the core content of highway transportation decision, and important to improve the logistic delivery ability. Based on highway transportation task in logistics industry, this paper uses the theory about operational research to establish the mathematical model, and analyses combining with the genetic algorithm.
Applications of the Genetic Algorithm with Steepest Descent Algorithm on Analyzing the Gauss-Type Overlapped Peaks
Authors: Shen Qing , Xu Qing Feng , Yin Kai , Xu Yun
Published: September 2012

As an optimization which is of very strong robustness and independent of the concrete areas of the problems, the genetic algorithm are discussed and applied in analyzing the signals of the overlapped peaks more and more. However, whether the Gauss-type or the Lorentz-type spectrum lines, the functions of which are usually very complicated. Thus, it is very difficult to obtain a favorable solution using the genetic algorithm, and there are too many generations of calculation. Therefore, in this letter, the steepest descent algorithm is added to the genetic algorithm. And the fast converged favorable solutions are obtained through simulating the analyzing the Gauss-type overlapped peaks.
Research on the Prediction of Drug Sales Based on Levenberg-Marquardt Algorithm
Authors: Jiang Xue Feng
Published: September 2012

Prediction of drug sales trend is very important for the drug production planning and inventory. The paper studies the BP neural network and presents a kind of method based on reformative neural network to solve the issue of prediction of drug sales. Compare with traditional BP algorithm, the result reveals that this algorithm has structure rationalization and rapid constringency velocity. The experimental results demonstrate that the prediction model based on Levenberg_Marquardt algorithm is good at predicting drug sales.
The Study on the Fatigue Test and Reliability for the Steel of Train Wheel
Authors: Han Wen Qin , Zhou Jin Yu
Published: September 2012

To obtain fatigue design data of the train wheel steel , the fatigue tests were carried out for the steel of K type and B type train wheel separately, which fatigue limit was measured using the fluctuation method, the fatigue life of two kinds of wheel steels were tested using the grouping method at the three stress levels, two different materials and different structures have an influence on the fatigue properties of the wheels using reliability principle. The fatigue life distribution of the B type is scattered relatively . S-N curve equation and P-S-N curve equation of the two kinds of steel were calculated . The theoretical basis were put up for developing design standards and safety evaluation of the both wheel.
A Novel Registration Algorithm for Pol-InSAR Images Based on the RVOG Model
Authors: Wu Sha Sha , Yan Dao Wei , Lu Zheng , Bian Ming Ming
Published: September 2012

In the processing of the polarimetric interferometric synthetic aperture radar (Pol-InSAR), the image registration is a key procedure. If the error of image registration occurs, the signal-to-noise ratio (SNR) of the interferometric image will be lowered and the precision of the height estimation will be decreased. Numerous registration algorithms have been proposed to solve the above-mentioned problem. However, in forested areas, the effect of volume scattering is significant. This property yields the fact that the characteristic of phase and frequency in the interferometric image is not obvious, leading to the worse performance of conventional registration algorithms. In this paper, a novel registration algorithm based on the random volume over ground (RVOG) model is presented. The method employs the fact that the coherence coefficients of the same pixel are displayed as a beeline in the complex coordinate plane for forested scenes. The image offset which yields the best linearity of coherence coefficients will be treated as the final estimation result. Simulation results verify that this method is able to provide the image registration estimation in the pixel and sub-pixel levels.
Blind Equalization Algorithm Based on the Orthogonal Wavelet Transform for SIMO Systems
Authors: Wang Zhen , Guo Ye Cai
Published: September 2012

In order to improve the equalization effects of the constant modulus blind equalization algorithm (CMA) for Single-Input and Multiple-Output (SIMO) systems, orthogonal wavelet transform constant modulus algorithm (WT-CMA) based on SIMO is proposed. This proposed algorithm uses the orthogonal wavelet transform to decrease the autocorrelation of the input signals to accelerate the convergence rate and reduce the steady-state error. Theoretical analysis and computer simulations shows that the proposed algorithm has better performance and smaller steady-state error in SIMO systems, it is very easy to achieve in engineering.
Improvement of S/N Ratio of Seismic Data by Multi-Channel Wiener Filter Algorithm
Authors: Hao Xue , Li Na , Ren Lin
Published: September 2012

Noise reduction or cancellation is important for getting clear and useful signals. This paper deals with the implementation of the multi-channel wiener filter algorithm for noise suppression of seismic data. Known the velocity of reflection event, utilizes the resemblance of reflection signal in each seismic trace, the multi-channel wiener filter algorithm is effective in enhance reflection event and suppress the random noise. This algorithm is used to CDP gathers and the simulation shows the method is effective.
Reattempt on Environmental Research Classification-Analysis Based on 700 CNKI Items
Authors: Wu Dan Dan , Zhong Qiu
Published: September 2012

According to the definition of environment, four classification of environment are known. Among them, the classification according to the components is the most widely recognized one. However, also has some limitations. Facing climatic change, the New Environmental Paradigm (NEP) from the anti-anthropocentrism will become the key measuring method. After subdivided environment according to the logic of anti-anthropocentrism, I find that environment classification according to the components is relevantly scientific, but it still is unable to meet the requirements of current and further researches. In order to fix the research of environment, I try to give the correspondence classification. Data using 700 items related to environment from the CNKI (China National Knowledge Infrastructure). Main fields of current environment research have been analyzed. For better understanding of “environment” especially on the research arena, “virtual environment” should be adding in the definition of environment.
Lifting Platform in Jack-Up Offshore Platform Based on Virtual Prototyping
Authors: He Bin , Cao Jin Tao , He Xiao Lin , Jin Zhi Xiang , Fang Ming Lun
Published: September 2012

This paper put forward a systematic design method based on virtual prototyping technology to simulate lifting platform of jacking system in jack-up offshore platform. After the main parameters of lifting platform in jack-up offshore platform were introduced, the 800T offshore platform modeling techniques were put forward, such as rigid body modeling techniques, flexible body modeling techniques, modal analysis techniques and kinematics analysis. The dynamics analysis was present with the simulation results, which demonstrates that this method is obviously helpful to get more accurate simulation results to verify the rationality of lifting platform in jack-up offshore platform.
Study of Sintering Blending Based on Swarm Intelligence Optimization Algorithm
Authors: Zhao Hui , Wang Ming , Wang Hong Jun , Yue You Jun
Published: September 2012

The sintering blending is a complex nonlinear optimization problem. The traditional single algorithm can not meet the requirement of good quality of sinter and lowest costs well. So, a hybrid optimization method of particle swarm and ant colony algorithm was proposed. The method gives full play to the global convergence of particle swarm optimization algorithm, takes it as a preliminary search, then use the positive feedback mechanism of ant colony algorithm for the exact solution, to make these two algorithms to reach a complementary, in order to get a rapid exact solution. The simulation results show that the proposed hybrid algorithm has fast convergence and high accuracy, which can effectively reduce the sintering cost.
Parking Management System with RFID and Sensor Networks
Authors: Zhao Wan Chen
Published: September 2012

As the development of the society and economy, more and more cars are used in the people life. Parking the car in a busy mall is often frustrated for us due to lack of the parking spaces. The problems mainly consist of two aspects. First, when we go to the destination, we do not know where the parking lot is and how many parking spaces is free. We have to spend a lot of time to find a parking lot. Besides, the parking lot usually is great, it is difficult for us to find the free space efficiently. Traditional solutions are implemented based on the TCP/IP networks or sensor network. TCP/IP solutions often require a lot on the infrastructure. Solutions with sensor network can not navigate the driver precisely. In this paper, we propose a novel parking management system with RFID and sensor networks, which can not only detect and locate the free parking space quickly, but also navigate the car to the parking space effectively. Our experiment shows that the proposed system is desirable for us to use in the life.
Development of the Intelligent Tennis Vehicle
Authors: Han Liang , Jiang Cheng , Wang De Bin
Published: September 2012

This paper reviews principle and characteristics of the tennis serving machine and the tennis picking machine on the market. According to the actual situation, it intends to design a new type of tennis equipment for the tennis practitioners, which is named intelligent tennis vehicle. This machine consists of ball-storage mechanism, supply mechanism, serving mechanism, picking mechanism, frame and control circuit. This machine uses storage battery for the power supply, and it uses MCU (micro controller unit) as the controller, controlling all kinds of the mechanisms. It can help people to practice tennis, and pick up the large number of scattered tennis balls conveniently. This machine can meet the needs of different requirements, so that practitioners can better improve the tennis technology in order to achieve the purpose of fitness and training.
Steel Cord Conveyor Belt Online Testing System Based on ARM and Sensors Array
Authors: Song Li Jun , Jiang Jian Hu
Published: September 2012

According to the unsafety exist in the steel cord conveyor belt running, introduces the design of a new steel cord conveyor belt online testing system which based on ARM and sensors array, describes the system hardware, software, and testing results in detail.
Circlar Decoding and Sparse Channel Estimation for Underwater MIMO-OFDM
Authors: Wang Wei , Qiao Gang , Khan Rehan , Wang Yue , Liu Song Zuo
Published: September 2012

In UWA (underwater acoustic) communications, data rate is severely limited by the confined bandwidth source of aquatic channel. MIMO (Multiple-input Multiple-output) techniques can drastically improve the spectral efficiency, and have been a new point of reference in UWA commutations. For the estimation of UWA channel which is usually sparse, CS (compress sensing) along with STBC (space-time block code) is adopted with improved results. A design of mixing coding MIMO-OFDM is also presented in the proposed method. The validity and the dependability of this scheme are verified by Monte Carlo simulations.
Preparation and Characterization of Layer Structured Porous Chitosan Scaffold for Tissue Engineering
Authors: Song Guo Jun , Wang Xue Jun , Lou Tao , Lv Li Yong
Published: September 2012

In this study, layer structured porous chitosan scaffold was successfully fabricated using thermal induced phase separation method. The scaffold had a layer structure with interconnective pores (50- 300 μm) and high porosity (>90%) using citric or acetic acid as the solvent. However, the results of compressive modulus of the scaffold showed that acetic acid was a better choice, and the compressive modulus of scaffold increased with chitosan concentration in acetic acid. The scaffold is very promising for tissue engineering.
Cascading Failures in Bipartite Coupled Map Lattices
Authors: Huang Dong , Pan Ying , Liang Jing Zhang
Published: September 2012

In this paper, the cascading failures in a class of bipartite coupled map lattices are investigated. We found that for a network with given heterogeneity, international attack is much easier to trigger cascading failures than random attack. Furthermore, not only the mean node degree but also the largest eigenvalues of the network are found to relate to the size of cascading failures in the network. Therefore, this work might shed some light on the control of cascading failures in such structure of the network.
Preparation of Polymer Suppressant in Coal Transportation under Single Mode Microwave Irradiation
Authors: Lai Shui Li , Gao Ying Hua , Chai Qiang
Published: September 2012

The aqueous solution polymerization of acrylic acid, acrylamide and oxidized starch under single mode microwave irradiation was studied, and a polymer suppressant was synthesized. The factors that influence on performance of the polymer suppressant were discussed, including microwave irradiation time, neutralization degree of acrylic acid (AA), the dosage of oxidized starch. The polymer suppressant was characterized by IR and scanning electron microscopy (SEM). Results indicated that the optimal synthetic conditions are as follows: microwave irradiation power, 300 W; radiation time, 2 mins; 50% neutralization degree of the AA; m(AA) : m(AM) : m(oxidized starch)= 5.0 : 3.3 : 3.4, weight ratio initiator in the feed is 0.4%, respectively.
Constitutive Model of Solid Propellant with Mechanical Damage and Aging
Authors: Zhang Xiao Jun , Chang Xin Long , Zhang Shi Ying , Chen Shun Xiang , Zhu Jie Tang
Published: September 2012

Mechanical damage and aging are the main mechanisms of nonlinear characteristics of solid propellant.A comprehensive big strain visco-elastic constitutive model with damage mechanics and aging was established, by using the visco-elastic constitutive equations form expressed by the generalized variable, introducing damage variables, and taking the relaxation modules after aging to characterize the aging. The correctness of the model was verified through experiments. the parameters need by modeling are easy to be got, and converted into the finite element code to do the simulation computation, then the model is suitable for the engineering application.
Research on Surface Roughness of Superalloy Thin-Walled Parts with Electrical Discharge Grinding Based on Orthogonal Test
Authors: Gao Ji , Liu Qing Yang , Ma Xiao Fang
Published: September 2012

By analyzing the processing principle of honeycomb ring with electrical discharge grinding (EDG), using method of orthogonal design to conduct the test and establishing mathematical model of regression equation with surface roughness through EDG. Comprehensive consideration of the various factors exist during processing process, derived out the more accurate experience formula of surface roughness on superalloy GH536 by EDG and obtained the higher significant level of regression equation by regression analysis. Results of test provide theoretical basis for the practical production in processing superalloy thin-walled parts by EDG and have a better guiding significance to solve the actual technical problems of process.
Design on Enterprise Information Management System Based on SSH Frame
Authors: Liu Ying Xin , Shi Wei
Published: September 2012

In order to improve the efficiency of enterprise management, the information management system uses Windows XP as the development platform, JSP as development technology and SSH as development framework to realize functions including basic information management, security management, operation management, financial management, item management and user management. The system can be used in different platform and improve operational benefit effectively.
Research on the Integrated Cognitive Topological Structure of Driver in the Multi-Resource Information Fusion
Authors: Zheng Zhi , Zhang Zhi Jun , Huang Qi Zhi , Li Hua
Published: September 2012

According to the comparability between the process of the multi-sensor information fusion and the human information disposal, the psycho-physical factor and its effect on the uncertainties of driving behavior are considered. The psycho-physical integrated cognitive topological structure is researched, and the cognitive activity chain of driving task-centralization is studied in the multi-resource information fusion, as well as discussed the driving decision-making behavior and the running mechanism of vehicle. The aim of researching the driving cooperative mechanism can offer the he theory guidance for the microscopic simulation and the intelligent vehicle development of intelligent transportation systems.
Image Thresholding Using Parzen Window Estimation and Tsallis Entropy
Authors: Xiong Fu Song
Published: September 2012

Image segmentation is an important problem of digital image processing and also a common difficult problem. In this paper, a new image thresholding method based on parzen-window estimation and Tsallis entropy is proposed. The method used Parzen-window technology to estimate the spatial probability distribution of image gray level values，then combined with the Tsallis entropy to construct a new criterion function, and at last searched the optimal global threshold in the scope of gray level to maximum the criterion function. This new method has some advantages, such as high accuracy to image segmentation, fine stability comparing with the traditional Tsallis entropy method.
Fractional Fourier Transform Image Analysis
Authors: Xu Hui Yan
Published: September 2012

As a generalized form of the Fourier transform, fractional Fourier transform (FRFT) ,which is integrated the signal in time domain and frequency domain, is a new time-frequency analysis. From the simulation point of view to image the distribution of energy in the fractional Fourier domain, the amplitude and phase characteristics, simulation results show that any fractional Fourier domain, can reflect the image of the space-frequency domain characteristics, with the order, the image The distribution of the space-frequency domain characteristics will change. The image of the fractional Fourier transform amplitude and phase reconstruction of the image information with the original image also showed some important conclusions for the fractional Fourier transform applied to image recognition and edge detection is of great significance.
Progress on Study and Application of Shape Memory Alloy in Passive Energy Dissipation
Authors: Ling Yu Hong , Ling Hong Hua
Published: September 2012

Shape memory alloy (SMA) has a good application prospect in structural vibration control due to its unique shape memory effect and superelasticity. First, the characteristics of SMA is briefly introduced. This paper then reviews research results on SMA for passive energy dissipation in the past decades, including development of different mechanisms of SMA-based passive devices and their performance tests and application research. Finally, application of SMA for passive energy dissipation is prospected.
Study on Digital Image Color Separation Based on Quality Controlling
Authors: Chen Wen Ge , Xian Ya Xin
Published: September 2012

In practical production, there are many factors can affect the printing copy quality. This thesis mainly research through Photoshop software installed image color parameter, again through experiments confirm the best color parameter and eventually get the best color separation effect to improve reproductive quality.
A Study on Parallel Processing Video Splicing System with Multi-Processor
Authors: Yang Shu Zhen , Chu Guang Lin , Wang Ming
Published: September 2012

Here to introduce a parallel processing video splicing system with multi-processor. The main processor gets the encoded video data from video source and outputs the video data to the coprocessors simultaneously after decoding the data. Those coprocessors capture the video data needed for splicing and display it on the objective monitor. Owing to this method, the sophisticated time synchronization algorithm is no longer needed. The proposed approach also lowers the system resources consuming, and promotes the accuracy of the video synchronization from multiple coprocessors.
A Method of Iris Recognition Based on Local Gray Minimum Values
Authors: Kang Jing Lei , Guo Ye Cai
Published: September 2012

Feature matching is a most important step of the iris recognition algorithm, directly determining the success or failure of iris recognition. In order to have a better performance in the iris recognition, a method of iris recognition based on local gray minimum values is proposed. This method firstly records the position of local gray minimum points in the iris region; the minimum consolidation method is used to compress the characteristic points, and then encoding the compression iris image after extracting features. Finally, do exclusive OR (XOR) operation between encoding and template information to get the final recognition results. The computer simulations show the proposed method has very good recognition performance.
The Effects of Aluminum Activity on Aluminide Coating Formation of Nickel-Base Superalloy
Authors: Zhou Feng , Gao Ming , Ma Ying Che , Tu Gan Feng , Peng Ke Wu
Published: September 2012

The effects of different pure Al compositon in the pack powder on aluminide coating formation of a new kind of Ni-Cr-W-Al nickel-base superalloy by pack cementation aluminizing was investigated. The content of pure Al powder is 15% and 30% in the aluminizing agent. The microstructure and phase composition of diffusion coating was studied.
Overall Plan of Henan Power Dispatching Data Network Based on IP over SDH
Authors: Xie Bo , Wang Shi Wen
Published: September 2012

In order to meet the security requirement of the dispatching data network and the features of its main applications, the principle of IP over SDH and the overall plan of Henan Power dispatching data network (HNDnet) based on IP over SDH is presented, together with the network architecture of the dual-plane backbone network and access network. Kernel design, network protection on communication side and routers access mode of Henan data dispatching network based on the dual-plane power communication network are illustrated in detail and some examples are given. Then a safer dispatching data network is provided.
Hysteretic Optimization for the 3D Protein Folding Based on the Lattice Model
Authors: Xiong Ru , Lu Yong Zai , Zhou Xuan Hao , Xu Wei Hua
Published: September 2012

Due to the critical positions of the studies of protein folding in medical and biological systems, the intelligent computation has been playing more and more important role in modeling and optimization for protein folding systems. This paper presents the applications of hysteretic optimization (HO) being a recent proposed physical principle inspired intelligent optimization solution for a 3D protein folding problem with lattice model. According to the characteristics of 3D protein folding model, the four key ingredients of HO approach, namely dynamics, distance, reference states and point of avalanche, are well defined. A proposed modified HO algorithm is successfully implemented for studies on 3D protein folding problems. Furthermore, the benchmark based numerous simulation results show the efficiency of the proposed HO method, and the relationship between the HO parameter setting and the resulting performance.
Based on ArcGis Highway Maintain Information System
Authors: Yang Zhu Ping , Huang Qi Zhi , Xiong Xiao Wen , Liang Hai Zhen
Published: September 2012

This paper expounds the basic thought of highway maintain information system,analyzes the advantage of application of WebGIS technology to highway maintaint information system.Base on ArcGis,the system can integrate highway’s graphics,attribute,text and image into the database and complete visible managemen.So it can effectually improve the highway maintenance efficienc and sustain for the decision.
Cloud Security Research in Cloud Computing
Authors: Zhu You Chan , Liu Peng , Wang Jun Ting
Published: September 2012

This paper first introduces the definition of cloud security, then analyzes security research status, finally puts forward to three-layer security solutions in Cloud Computing.
Criteria Affect the Security of TOR
Authors: Zheng Yu Lin , Cai Yi
Published: September 2012

TOR is a popular anonymous communication system nowadays. This article measures the security of TOR network by probability of disclosure communication relation between TOR user and his destination, and discusses some factors that influence it, finally gives a formula to express the relation among them. We also refer to TOR network archived directory information to evaluate the security level of TOR, and bring forward three advices for using TOR safely..
Cairngorm Framework for Flex Developers
Authors: Gao Lu , Zhou Li Yong , Yu Jin Ling
Published: September 2012

In recent years, the Flex technology has been widely used. Adobe Flex application framework designed to start introduction of the Cairngorm framework. The framework with the MVC design pattern to simplify the application development model, specification of the application development process, and pay more attention to the business logic, the author after careful study of the entire framework, the control layer of the Cairngorm framework is made some improvements to the improved version of the Cairngorm framework. The improved version of the Cairngorm framework is more suitable for Web application development and maintenance.
Feature Extraction Using Composite Individual Genetic Programming: An Application to Mass Classification
Authors: Lv Ying Hua , Guo Yu Ting , Sun Hui , Zhang Ming , Wang Jian Zhong
Published: September 2012

This paper proposes a novel method for breast cancer diagnosis using the features generated by genetic programming (GP). We developed a new individual combination pattern (Composite individual genetic programming) which regards several individual as one unity to generate more powerful features that can improve the discriminatory performance of a classifier and reducing the input feature dimensionality at the same time. The performance of the proposed method is demonstrated by extensive experiments on MIAS and DDSM mammographic image database.
Research and Design of Taskflow-Oriented Compose Component
Authors: Zhou Chuan Sheng
Published: September 2012

Since the component technologies and Component-Based Development (CBD) or Component-Based Software Engineering (CBSE) started at 90 of 20th century [1], today almost 70 percent of software development with components. But from the industry practice and component based application developers’ point of view, the big problem still exists which is how to compose software components together effectively and efficiently. Here, by research on the component and taskflow and XML technologies, to illustrate a taskflow based design of component composition technology with XML based tasks for components integration and to improve the efficiency of CBSE.
Study on Course Exam Material System Based on Android
Authors: Li Xiao Bin
Published: September 2012

Along with the Internet technology and mobile intelligent terminal of the development and popularization, traditional college application will be grafted into intelligent terminal has become inevitable, as education evaluation test also is experiencing paperless and network development. Course exam system is will the computer and network communication technology and mobile intelligent terminal applied to teaching field of product, using XML resources and mobile intelligent terminals, to candidates, and teachers numbered bring great convenience, but also for the education of college teaching reform to provide strong support. This system by using the android platform, design and development of the cross-platform J2EE multilayer architecture and open source Linux system, XML database technology and JAVA development tool to Eclipse, using the MVC development, mode of object-oriented analysis and design method, high stability, usability, maintainability, expansibility, portability and lower operational costs.
Research on the Hall for Workshop of Meta-Synthetic Engineering for Solution to Complicated Problem of Strategy Decision
Authors: Guo Jing , Liu De Sheng , Guo Qin
Published: September 2012

Considering the complexity of weapon and equipment development strategy and the requirement analysis of Hall for Workshop of Meta-synthetic(HWME), we analysed the flow of solving complicated problem of strategy decision using the methodology of meta-synthesis from qualitative to quantitative. Finally, we built the system framework of HWME on concentrating discussion manner.
Identification of Damage Modes in Twill-Weave Composite Based on EMD of AE Event
Authors: Han Wen Qin , Zhou Jin Yu
Published: September 2012

Acoustic emission (AE) monitoring is the primary technology used for the identification of different types of failure in composite materials. Tensile test were carried out on twill-weave composite specimens, and acoustic emissions were recorded from these tests. AE signals were decomposed into a set of Intrinsic Mode Functions(IMF) components by means of Empirical Mode Decomposition(EMD) , the Fast Fourier Transform (FFT) of each IMF component was performed, it was shown that the event peak frequency of each IMF component could be directly related to the materials damage modes.
Research on Hardware-Software Partitioning Method for Dynamically Reconfigurable Embedded System
Authors: Zhao Xin , Li Lan Ying , Gao Ming
Published: September 2012

According to the need of reconfigurable system’s designing, this paper presents a method applied to hardware-software partitioning for dynamically reconfigurable embedded system. A model of dynamically reconfigurable embedded system is built to describe its task; then a merging algorithm of genetic algorithm and ant algorithm is adopt to get results of hardware-software partitioning, according to the system model given and application model described by task graph. Priority-based list scheduling and Configuration-prefetching strategy are used to evaluate these results. Experimental results show that the algorithm in this paper could map the task graphs to reconfigurable system efficiently both in time and space, and have higher performance compared with other algorithms.