bluuebunny/crossref_metadata_2025 huggingface dataset:
SVPWM Vector Control Speed Regulation System of Asynchronous Motor Based on DSP
Authors: Li Jin
Published: August 2013

Space vector pulse width modulation (SVPWM) is a method to control the AC asynchronous motor. SVPWM technology applied in AC speed regulation system can not only improve the shortcoming of low voltage utilization in the pulse-width modulation (PWM) technology, but have little torque ripple and low noise advantages. In this paper, a SVPWM vector control AC asynchronous motor speed regulation system employing a core TMS320LF2407A-type DSP chip was presented, and simulated the speed regulation system by MATLAB SIMULINK. The obtained simulation results indicate that the proposed speed regulation system has excellent dynamic and static performance, thus SVPWM control technology of asynchronous motor based on DSP has been implemented.
Study on Four-Quadrant Operation of Brushless DC Motor Control Method
Authors: Zhang Jian , Zhou Yuan Jun , Zhao Jing
Published: August 2013

Brushless DC motors, which are applied to the human skeleton boosters, require frequent switch of four-quadrant operation states of forward rotation, backward rotation, electro motion and braking control. This switch generally requires to be soft and smooth without overshoot, big impulse or speed mutation. The general performance of the brushless DC motor control system cant meet this requirement. The main purpose of this paper is to solve this problem by adopting bipolar PWM control which makes it possible to realize the motor operating in four-quadrant and improve its characteristics. In addition, the paper proved the correct and efficiency of this method by using simulation .
Study on Setting Calculation Data Center Based on Model Splicing
Authors: Li Chong Zhan , Liu Gao Ming , Song Wei , Wang Xiao Bo
Published: August 2013

This paper splices power grids detailed model of all dispatching areas to form the whole power grids detailed model through power grid model splicing technology based on common information model (CIM). This paper introduces the solution to managing the equivalent model, partitioning the splicing boundary, disposing the device on the border etc. Specific to setting calculation based on the whole power grid, some splicing solutions are also proposed concerning calculation rate and problems demanding large internal storage.
Design of Function of Geographic Navigation System of Tourist Attraction
Authors: Chen Xi
Published: August 2013

Current tourism-led tertiary industry achieved remarkable development and achievements. In order to make better use of the natural geological resources, local governments adopt local characteristics as a guide to invest in tourist attraction construction to promote local economic development. However, due to the lack of scientific and technical conditions, tourist attraction construction is only confined to the planning and design of major landscape regions, rather than taking into account the query needs of tourists during the tour. Under this background, this thesis first of all makes an introduction to geographic navigation system function, and then proposes the function design of tourist attraction geographic navigation system and application of GPS technology to tourist attraction navigation, so as to assist the further study.
Stone Laying Computer Aided Design Research
Authors: Jin Yuan Yuan , Li Zi Chuan , Zhao Min
Published: August 2013

Stone laying is one of the most important design work for stone manufacturer, and it is also the basis of board processing. The geometry area which is decorated is varied. It exists not only "flat" and "closed", but has their own different characteristics. In this paper, stone laying will be divided into three parts: line laying, board type laying and special-shaped slab laying. By analyzing its characteristics and using computer-aided design, according to the method of parametric design and the parameters which are input, we can output corresponding laying rendering. It can improve the machining efficiency and utilization rate of stone, and achieve the intellectualization of stone design and processing.
Design and Construction of the Information System of Hainan’s Intangible Cultural Heritage
Authors: Wang Feng Xia , Yang Guang , Jin Zhi Yang
Published: August 2013

As the Construction of International Tourism Island of Hainan develops in depth, Hainan’s intangible cultural heritage shows the increasing attraction to domestic and foreign visitors. So the development and protection of Hainan’s intangible cultural heritage has become the key to the sustainable development of Hainan tourism. Spatial information technologies represented by 3S integrated technology, with the characteristics of efficiency, accuracy and scientificity, are very applicable to the development, management and protection of Hainan’s intangible cultural heritage. This paper first introduces the current situation of Hainan’s intangible cultural heritage and the roles of various spatial information technologies in the development, management and protection of Hainan’s intangible cultural heritage. On this basis, this paper constructs the spatial database of Hainan’s intangible cultural heritage and proposes the overall design and the function design of the information system of Hainan’s intangible cultural heritage.
Comparison Theorem for Solutions of BSDEs under Non-Lipschitzian Coefficient
Authors: Han Bao Yan
Published: August 2013

A class of backward stochastic differential equations are studied. We obtain the comparison theorem of these backward stochastic differential equations under non-Lipschitz coefficient.
Compression Behavior and Energy Absorption of Aluminum Alloys AA7005 Tubes Subjected to Static Axial Load
Authors: Simhachalam Bade , Rao C. Lakshmana , Krishnasrinivas Krishnasrinivas
Published: August 2013

In this paper, compression behavior and energy absorption of aluminum alloy AA7005 tubes in T6 are investigated both experimentally and numerically. True stress-plastic strain curves from the tensile test are used in the static simulation of AA7005 tubes. The results from the experimental compression of AA7005 tubes are compared with the static simulation using LS-Dyna. The peak loads and energy absorption values between experimental compression results and numeral simulation are found to be in good agreement.
Research on the Machining Principle and Experinment of Ultrasonic Machining
Authors: Xiao Qiang
Published: August 2013

Ultrasonic machining is a non-conventional machining process. Ultrasonic machining offers an effective alternative for ultra precision machining of hard and brittle materials due to its unique characteristics. This paper did a comprehensive analysis on ultrasonic machining mechanism in theory. The experiment compared this ultrasonic machining process with the common machining process in surface quality is done and the experimental result show that the smooth high quality surface can be obtained under ultrasonic machining.
Establishment for the Equivalent Target of Shaped Jet Penetration Composite Armor
Authors: Gao Hong Chao , Luo Xing Bai
Published: August 2013

Due to the emergence of more and more composite armors, research related with equivalent target has practical application background. Composite armor with different physical properties between the layers weakens jet penetration effectively. If the equivalence relations between composite target and homogeneous one can be established, homogeneous target with a certain thickness takes the place of composite plates, the test cost will be slashed. After the principle of equivalent target and research methods to be introduced in brief, the jet penetration composite target for energy consumption and the jet penetration composite target depth research have been explored, the establishment about the equivalent target method of the armor-piercing projectile penetration composite armor is proposed.
Study on Mathematical Model of Dieless Drawing Speed Control for Variable Section Pipes
Authors: Xia Hong Yan , Bian Qing , Wu Di
Published: August 2013

Dieless drawing, as a flexible metal forming method, could form pipes with arbitrary variable section. In order to control the shape and dimensions accurately, based on the analysis of deformation mechanism of arbitrary variable section pipes via dieless drawing process, the calculation method of dieless drawing speed during pipe forming is proposed theoretically,Furthermore, mathematical model of dieless drawing speed control is established by using piecewise polynomial to approach continuous speed curve. The study provide the basis for the dieless drawing speed microcomputer control system. The results of experimental investigation showed that the mathematical model indicates variation of dieless drawing speed quite well, and it is available to schedule the speeds for arbitrary variable section pipes dieless drawing.
Transformer Remaining Life Assessment Based on Blind Number Theory
Authors: Han Biao , Zhang Yi , Li Ran
Published: August 2013

Because of the transformer serving for a long time and the running environment being complicated , factors that influence the assessment of transformer remaining life have a variety of uncertainties coexistence or cross-existence. Due to this characteristic, introduce blind number theory into transformer life assessment, use blind number express evaluation parameter uncertainties, and establish transformer economic life evaluation model based on comprehensive health index .The model not only can give health status of the transformer and state level ,but also give remaining life expectancy ,remaining lifetime interval and corresponding credits, possibility of not more than a certain year.
Reconstruction Analysis on the Energy Conservation of the Power Grid in Anhui Area
Authors: Sun Qing Sheng , Lei Qing Song , Ke Rui , Li Ming Yu
Published: August 2013

This paper presented the loss of the power grid and elaborated the distribution features of the power grid in Anhui, pointed out that measures should be taken to improve the structure of Anhui power grid for energy-saving according to its own specific characteristics. Suggestions includes the construction of UHV power grid, the breaking out of looped network, the construction of multi-circuit transmission lines on the same tower, scientific adjusting the grid operation voltage, improving the power factors, and adjusting the load. Based on the rules and characteristics of grid power loss, measures should be adopted on special ways to get the largest energy-efficient operations and achieve the aim of less investment to increase economic efficiency.
Construction & Thought Fragments on the PV-WP Base
Authors: Wang Chang Guo , Yue Yun Feng
Published: August 2013

This paper on China's Jiangsu Provincial Higher Occupation Education Training Base Construction: "PV (PhotoVoltaic) &WP (Wind Power) new energy technology training base" construction as the breakthrough point, emphatically discusses the connotation and characteristics of the content characteristics of base construction. The base of the scientific connotation involves a number of disciplines and a variety of engineering technology, and these disciplines and engineering technology are permeated each other and mutual support. As the base of the constructor and the responsible person, experienced and the main process of each key link of the base construction, feel much deep, the writing of this thesis, and colleagues communicate, in order to enlighten.
Analysis of Crankcase Flow of an Automobile ECV for Air Conditioning Control System
Authors: Mahmud Md. Iqbal , Cho Haeng Muk
Published: August 2013

Electromagnetic control valve (ECV) controls an automobile vehicle air conditioning compressor based on a pulse width modulation (PWM) input signal that supplied from an external controller. For maintaining a suitable range of temperatures inside the vehicle, suction and crankcase port pressure controls the swash (wobble) plate at certain angle. Suction and crankcase port pressure controlled in ECV can be analyzed by experimental test by considering different technical assumptions. This research paper highlights the flow of air from crankcase port with correspondence with amount of variable supply of current to obtain the experimental test data which is important to maintain the vehicle temperature inside the compartment for passengers comfort.
Modelling and Simulation of Open Drainage Systems
Authors: Cen Li Hui , Zhu Hong Lin
Published: August 2013

This paper proposed a parameter identification method for simplified models of open drainage systems. SWMM is used to identify these parameters by taking the rainfall data as the input. Simulations show that the results of the proposed method have high accordance with those of SWMM. The drainage system of Duke University is taken as an example to demonstrate our approach.
Head Pose Recognition Based on 2-D KPCA
Authors: Li Chun Ling , Lu Yu Feng
Published: August 2013

One’s head pose can be estimated using face images. The hidden manifold of head pose in the high dimensional space can be successfully embedded into a 2 dimensional space using Kernel Principal Component Analysis (KPCA). A pose curve is gotten using KPCA train samples and new pose image is projected onto this curve. The pose angle can be estimated using interpolation method. The disadvantage of traditional linear method is conquered by using 2-D KPCA and the experimental results that the method is effective to estimate head poses. The kernel functions effects on estimation accuracy are also discussed.
The Comparative Study between Difference Actions and Full Actions
Authors: Li Ying Jie , Abidi Mongi A.
Published: August 2013

An appearance-based feature set is proposed. With Hidden Markov Model (HMM) handling any temporal variance, the contributions of features, which are from full foreground sequence and from temporal difference sequence, are compared in details by methods which are based on feature selecting and feature voting. The experimental analysis shows that the comparative contributions can be achieved for human action identifying by the two data sources. This introduces the opportunity to analyze human behavior based on temporal difference sequence instead of full foreground sequence, and validates the far-reaching significance of this work.
The Processing Algorithms and EML Modeling of True Color Synthesis for SPOT5 Image
Authors: Chen Hao , Liang Tian , Yao Juan
Published: August 2013

SPOT-5 image is widely used in every trade by its special advantage of high spatial resolution and stereo mapping. SPOT-5 image is difficult to composite true color without blue wavelength channel. This article aims to achieve approximation from RS images colors to natural colors through true-color processing. The experiential arithmetic module of true-color composite is established by Using Erdas Imagine, which is the software for processing RS image, and ERDAS Macro Language (EML), which is modeling language. Loading module and some simulations get more effective images of approximating natural colors by all kinds of surface features of SPOT-5 image.
A Study on Multi-Input Multi-Output Active Noise Control System's Performance at Steady State
Authors: Zhao Tong , Wu Hai Fei
Published: August 2013

A method for determining whether a multi-input multi-output (MIMO) active noise control (ANC) system can reduce error signals around all sensors to zero at steady state was proposed. The method was converted to determine the solution of linear equations. Three different simulations were conducted to verify the theoretical analysis. Simulation shows that max estimation error of control signals is no greater than 1.87% in amplitude and 2.22 deg. in phase.
Intellectual Gear Fault Detection Based on Wavelet Time-Frequency Analysis
Authors: Zhou Juan Li
Published: August 2013

In this paper, wavelet packet transform and support vector machines are used to detect gear system faults. Testing signals were obtained by measuring the vibration signals of gear system at different rotating speed for different faults. Vibration feature signals were analyzed using wavelet de-noising. By using wavelet packet transform (WPT), signals were decomposed into different frequency bands. the fault detection is used for calculation of energy percents of every frequency. All these were used for fault recognition using Support vector machine (SVM). SVM and neural network transform results were compared. The research indicates that the de-noised signal is superior to the original one. When dealing with various signals, such as Multi-Faults, the diagnosis identification rates are over 92%. This method can be effectively used not only in engineering diagnosis of different faults of gear system, but also for other machinery fault style classification.
Fault Diagnosis of Broken Bars in Induction Motors Using EMD
Authors: Li Xiao Quan , Wang Jing Chen , Li Run Ling
Published: August 2013

This paper presents a diagnosis method based on EMD, in order to improve the precision of fault diagnosis in induction motors. After the Park vector analogue signal of stator current is decomposed by EMD, 2sf fault characteristic value is abstracted accurately. Simulation results show that this proposed method is of high sensitivity, efficiently solves the problem that frequencies of fault and fundamental wave are close and difficult to be decomposed.
Doppler Distortion Removal Method for Multiple Acoustic Sources
Authors: Zhang Ao , Liu Fang , Kong Fan Rang
Published: August 2013

In wayside fault diagnosis of train bearings, the phenomenon of Doppler distortion in the acoustic signal of moving acoustic source acquired with a microphone leads to the difficulty for signal analysis. In this paper, a new method based on Dopplerlet transform and re-sampling is proposed to eliminate the Doppler distortion of multiple acoustic sources which provide a reference for wayside fault diagnosis of train bearings. Firstly, search the parameters space to find the primary functionsDopplerlet atoms. According to the Morse acoustic theory, the instantaneous frequency of the Dopplerlet atom which we choose to remove Doppler distortion of the corresponding acoustic source can be acquired. Then, the re-sampling sequence can be established in time domain. Through the resample, the Doppler distortion can be removed. In the end of this paper, an experiment with practical acoustic signals is carried out, and the results verified the effectiveness of this method.
Research on Optimizing Magnetic Memory Testing Parameters Based on the Criteria of Minimum Component Change of Magnetic Field
Authors: Yang Chang Jiang , Li Zhu Xin , Liao Zi Jun , Gong Li Hong
Published: August 2013

For the reasearch of magnetic memory testing parameters on the effect of magnetic memory testing signals, the method of uniform design experiment is used to arrange test, by the decision criteria of the minimum component change of magnetic field, the mathematical model is established based on the test result, quantify the influence of the magnetic memory testing parameters, and optimal regression equations are verified through the test results, and achieve the optimization of test parameters, the results for the determination of magnetic memory testing parameters and the range of choice to provide theoretical reference, and improve the reproducibility of test results.
Research on Method for Monitoring the Pressure of Liquid Interface Based on Fuzzy Controller
Authors: Yin Yi Feng , Gan Yong , Yang Ya Wei
Published: August 2013

The monitor system of liquid interface is analyzed as a time-variant, non-linear and multi-disturbance complex system to keep track of RFID tags pose in the environment. In this work, with the input signal of dispersed pressure information, which is obtained by RFID tags from different density liquid, a decision method for the pressure of liquid interface is proposed base on fuzzy control. The simulation results are be tested by using MATLAB software. The simulation results can be shown from figure that output quantity depends on the input quantity of liquid pressure differential. It can be concluded that the fuzzy control theory is used to determine the liquid level pressure changes.
Stress Analysis of the Suspended Centrifuge Drum for Sugar
Authors: Zhang Shuo , Wang Wei , Huang Cai Gui , Li Yan Zhou
Published: August 2013

Suspended centrifuge which is the post-treatment equipment during the production process is widely used in the sugar manufacture industry .Sieve basket is the key parts of the suspended centrifuge because its structure, shape and processing property will not only affect the production and use cost of the suspended centrifuge , but also will largely determine the service life of the centrifuge. Its very important for the optimization of the sieve basket structures every parameter which needs to have a deep analysis for the stress intensity and displacement size of sieve basket when it works under the condition of full load.
Effect of Physical Parameters on DeNOx Conversion in Selective Catalytic Converter Used in Diesel Vehicles
Authors: Manoj Kumar A.P. , Mohanan P.
Published: August 2013

The Urea SCR system is a promising approach to reduce NOx in order to meet stringent limits on Euro 1V and Euro V standards. Apart from thermodynamic properties (temperature, pressure,heat and mass transfer), the cell geometry of SCR also got significant role in reduction of NOx. The current study focuses on the calculation of NOx conversion by varying the Open Frontal area of monolith, volume of monolith, cell density thereby to choose best cell geometry which will result in maximum DeNOx efficiency. It has been found that as the cell density increases the NOx conversion efficiency also increases. In the current analysis, a cell density varying from 200 CPSI to 400 CPSI is considered. One dimensional steady state and transient kinetic analysis are carried out using AVL BOOST software. The monolith volume is varied from 0.002m3 to 0.008m3 and the effects on DeNOx efficiency are discussed. The Open frontal area of SCR catalyst also been varied, and the effects on NOx conversion is studied. It has been found that as the cell density, monolith volume increases, the NOx conversion efficiency also increases, where as it decreases with increase in Open frontal area. The results are validated through experimental results obtained from the literature.
Strength of Extreme Soils Blended with Fly Ashes for Pavement
Authors: Kumar S.M. Prasanna
Published: August 2013

The investigation of the present work brings out the effect of Raichur Fly Ash (RFA) and Nyveli Fly Ash (NFA) on California Bearing Ratio (CBR) of two extreme soils, Black Cotton soil and Red earth. CBR of soil fly ash mixtures assume great importance in their use for road construction. CBR are modified depending on the soaking condition. Thus the CBR of soil fly ash mixtures are determined as compacted and also in soaked condition. CBR of fly ashes under un-soaked conditions exhibit higher values because of additional resistance from capillary forces, for instance when 20% of RFA is added to black cotton soil under Unsoaked condition, blend has shown CBR of 10.38% as found in results. In presence of water fly ashes loose capillary forces and gives lesser CBR, where blend has shown CBR of 4.56% for addition of same quantity of RFA. Same additions when it is made to Red earth, the corresponding results are 11.74% for Unsoaked and 4.74% for soaked conditions. In cases of fly ash with calcium, they generate cementitious gel and impart strength to mix, which increases the CBR even in soaked condition [1]. Addition of cement to RFA and lime to NFA, the resistance of blends increases. CBR of soils with RFA exhibits pronounced peaks at fly ash contents of 20% and 80%. This is due to predominance of skeleton of soil and fly ash respectively. The CBR of soil with NFA addition further increases with soaking. CBR of soil with NFA addition increases continuously with fly ash content. The results reveal that when same 20% NFA is added to soil, the CBR of soil in unsoaked condition is 11.46%, whereas for soaked condition it is 23.62%.
Dynamic Targets Detection for Robotic Applications Using Panoramic Camera Based on Optical Flow
Authors: Zhu Wei , Tian Li , Di Fang , Li Jian Li , Li Ke Jie
Published: August 2013

Optical flow method is an important and valid method in the field of detection and tracking of moving objects for robot inspection system. Due to the traditional Horn-Schunck optical flow method and Lucas-Kanade optical flow method cannot meet the demands of real-time and accuracy simultaneously, an improved optical flow method based on Gaussian image pyramid is proposed. The layered structure of the images can be obtained by desampling of the original sequential images so that the motion with the high speed can be changed into continuous motion with lower speed. Then the optical flows of corner points of the lowest layer will be calculated by the LK method and be delivered to the upper layer and so on. Thus the estimated optical flow vectors of the original sequential images will be obtained. In this way, the requirement of accuracy and real time could be met for robotic moving obstacle recognition.
Petri Net Applied in Pulverizing System Reliability Analysis
Authors: Li Yun
Published: August 2013

The main objective of the paper is to analyze the reliability of pulverizing system with Petri net. The events and logical gate in Petri net model to forecast and analyze accidents, and the structure of the model, are minutely established aiming at coal pulverizing system in this article. Some reachable identification graphs are analyzed and the minimum cut sets, which leads to accident, and the minimum path sets to control and prevent the accident taking place are obtained. For obtaining good results of the practice of power plant, it can be applied to the other industry area. The results are beneficial for the plant personnel to analyze the systems behavior and improve their performance by adopting suitable maintenance strategies.
Acetylene Ignition Process in Combustion Thermal Spray
Authors: Guo Wen Liang , Guo Zheng
Published: August 2013

The acetylene ignition process in combustion thermal spray is typical of a laminar diffusion jet. It has all the features of a free jet. The aim of this research is to obtain the detail sparking ignition evolution process and the chemical reaction time scale and calculate the critical radius and minimum energy input required to produce a self-propagating flame in an acetylene fuel jet. Experiments are carried out by using a unique high-speed continuous CCD camera. The results show that the full sparking ignition time needs about 8 ms and this time scale can be used in the calculation of the flame flow fields in the combustion thermal spray jet.
Sound Insulation Performance of Finite Orthotropic Sandwich Panels
Authors: Wang Sheng Chun , Shen Wei Dong , Xu Jia Feng , Wang Pei Wen , Li Yun
Published: August 2013

A theoretical model for calculating sound transmission loss (STL) of finite honeycomb sandwich panels is developed. The accuracy of the theoretical predictions is checked against experimental data, with good agreement achieved. Numerical analysis shows that increasing face sheet thickness can improve STL effectively, which is much more effective than increasing the core thickness. Core thickness and Youngs modulus of face sheet have evident effect on coincidence frequency, which should not be neglected when predicting STL.
Static Analysis of Viscoelastic Reinforced Thick-Walled Cylinder
Authors: Du Kui , Zhang Xiang Ming , You Ze Long
Published: August 2013

The numerical simulation of the static response of viscoelastic materials with the finite element method is presented in this paper. In particular, elastomeric solids which are of essential engineering interest are discussed. A rubbery elastic manner is assumed to be modeled with an Ogden-type strain energy function. A Prony series represents the relaxation moduli is exploited. By using a general finite element software ANSYS, numerical examples illustrate relaxation and creeping phenomena.
Cluster Model of SHS Propagation in Cu/Sn System
Authors: Tsibart A.V. , Orlova Y.A. , Kveglis L.I. , Plotnikov V.A.
Published: August 2013

SHS products in Cu/Sn films have been investigated. New BCC Cu/Sn phase has been found. The scheme which illustrates transition of the FCC-lattice of copper and a tin HCP-lattice to system of octahedrons of a new phase with BCC lattice has been offered
Mechanical Properties of Welded Joints in Welding with Pulsed Arcs
Authors: Krampit A.G. , Krampit N.Yu , Krampit M.A.
Published: August 2013

Research results of the weld chemical composition and mechanical properties at pulsed arc welding are discussed. It is established that the pulsed power supply favours mechanical properties of the welded joint.
Influence and Analysis of Temperature Rise to Principal Spindle's Rotating Error Test
Authors: Liu Kuo , Lin Jian Feng , Wang Yue Wu , Zhu Tie Jun
Published: August 2013

The form of principal spindle's dynamic errors is analysed firstly. Scientific test scheme is designed to analyse the influence of rotating speed to rotating errors and decrease temperature rises influence. Principal spindle's radial average errors and asynchronous errors, axial average errors and asynchronous errors, minimum radial separation center of some vertical machine center are all tested with SPN-300 of API. Test method is rise speed-test-stop & cooling-rise speed. Three vertical machine centers are tested and every machine center is tested three times at different rotating speed. The test results and the influences of all errors are analysed at last.
A Parallel PDA Algorithm for Closely-Spaced Targets Tracking in Clutter
Authors: Zhang An Qing , Yao Jing Shun , Chen Hong Quan
Published: August 2013

To reduce the computational complexity of JPDA and resolve closely-spaced targets efficiently, decompose JPDA into parallel PDA algorithms without regarding the correlation of targets. For a target, measurements are all clutter except the ones originated from itself. The PDA algorithm to track every single target with fixed covariance of states. When targets got closed within thick clutter, try to avoid coalescence and reduce complexity of association, maintaining the independence of targets through neglecting the assignment association model of measurement-to-track which used to happen once targets gates got overlapped. Simulations give arguments that parallel PDA has a better performance than JPDA in tracking closely-spaced targets.
Algorithm Study of Edge Location and Feature Measurement of Building Surface Crack Images
Authors: Cui Lei , Zhu Qing , Zhang Jing Kang
Published: August 2013

Old buildings surface cracks are more obvious with the accumulation of its disrepair, which will impact aesthetics, durability and even threaten the safety of persons and properties if feature values surpass the security thresholds. In this paper, firstly, the algorithm of the improved Canny operator gray threshold edge detection and location, based on traditional differential operators and sub-pixel positioning algorithms, achieve coarse location, furthermore, the sub-pixel location algorithm of Gaussian curve fitting based on neighbor gradient features realize sub-pixel precision positioning. Finally, crack features are calculated and comparative analysis through the measurement algorithm. The experiments prove the algorithms possess high accuracy and feasibility with important application values of assessment, identification and maintenance.
Information Fusion Algorithm for Electromechanical Equipment Based on DS Evidence Theory
Authors: Zhang Yao Hui , Xu Jun , Du Kang
Published: August 2013

According to the problem that the difference of test mode, mixed quantitative and qualitative information of electromechanical equipment state prediction, a state prediction method based on information fusion was proposed in this paper. It was used DS evidence theory to fuse decision level information of electromechanical equipments at this method. Simulation results showed that it is feasible and effective that information fusion technology is applied on the state prediction for mechanical and electrical equipment. Information for decision-making integrated repeatedly by different forecasting methods, can greatly reduce the blindness of judgment and improve the accuracy of state prediction.
Reliability Model Choice Based on AHP and Entropy Weight-TOPSIS
Authors: Shen Gui Xiang , Sun Shu Guang , Zhang Ying Zhi , Meng Shu , Qi Xiao Yan , Luan Lan
Published: August 2013

Aiming at the problem that some products show no failure in the random truncation test period,the mean rank order method is introduced to determine the sequence number of failure time and the method of approximate median order is used to calculate the empirical cumulative distribution function.To solve the poser that model of failure distribution of the same batch of data is not the single one,this study uses analytic hierarchy process (AHP) and entropy weight-TOPSIS,including both objective and subjective factors,to find out the datas optimun distribution.Through taking an example,It proved that this method is simple to use and has good applicability.
Several Strategies to Compute the Minimum Stochastic Dominating Sets in Graphs
Authors: Dong Wen , Qiao Shi
Published: August 2013

On this paper, a simple introduction about the concept of the domination set in graphs and the research progress is presented. The definition of stochastic dominating set is introduced as well; We designed several strategies to compute the stochastic dominating set, and analyzed the domination rate using probability theory in the broadcasting model. These strategies have important theory value to solve network communication redundancy package problem.
The Parametric Design for Hydraulic Cylinder Based on SolidWorks
Authors: Wang Hong Yan , Han Guo Hui , Jiang Xue Mei , Wang Hong
Published: August 2013

Hydraulic Cylinder is one of the most commonly used excutive components of hydraulic transmission system. Its quality is directly related to the performance of the whole design components. Based on the SolidWorks 2007 environment and theory of the parametric design with the support of rhe programming tool of Visual Basic, the digital design system for hydraulic cylinder is established, as a result, the design efficiency and quality are heightened.
Research on Network Routing Optimisation Based on Improved Genetic Algorithm
Authors: Yang Lan Qin , Wang Xiao Yun
Published: August 2013

Aiming at QoS multi-objective optimisation,this paper presents an improved genetic algorithm,which has been applied to solving the routing optimisation problem. This algorithm meets the requirements of bandwidth,delay and cost on the basis of router mathematical model. Also,it sets the targets of resource consumption and equilibrium load distribution,which makes the resource consumption least and balances the load distribution,thus, the occurrence of network congestion is reduced. Simulation proves that it has the advantages to certain extent.
A Knowledge Rule Mining Method for the Evaluation of Library Readers Satisfaction Rate
Authors: Chen Yan
Published: August 2013

The readers satisfaction rate is an important index of library service quality. Evaluation of library readers satisfaction rate depends on knowledge rules to a large extent. In this study, the synthesized evaluation index system of readers satisfaction rate was established firstly. Then, a method for mining the evaluation knowledge rules of readers satisfaction rate based on an improved genetic algorithm was proposed. In the algorithm, new knowledge rules were generated by selection operator, dual crossover operator and dual mutation operator. Knowledge rules were evaluated by their accuracy, coverage and reliability, and they were evaluated by linear combination method. Experimental results show that this method for mining knowledge rules is valid. It is helpful for us to evaluate library readers satisfaction rate fairly and objectively.
Comparsion of Two Kinds of Optimization Algorithm for Load Model Parameter Identification
Authors: Ding Li Jie , Zhang Zhou Jing , Liu Ying , Huang Qi , Wang Jun
Published: August 2013

Parameter Identification is the key technology in measurement-based load modeling. In order to identify parameters in power system ,the differential method which is based on the multiple curves fitting and interpolated method are compared in the paper. Numerical results illustrate that the differential method can improve the accuracy for load modeling parameter identifications.
Queries for Uncertain Data on Dataspace Based on Effective Clustering Algorithm
Authors: Zhang Shuang , Zhang Shi Xiong
Published: August 2013

This paper presents a probabilistic data stream clustering method P-Stream. An effective clustering algorithm called P-Stream for probabilistic data stream is developed in this paper for the first time. For the uncertain tuples in the data stream, the concepts of strong cluster, transitional clusters and weak cluster are proposed in the P-Stream. With these concepts, an effective strategy of choosing candidate cluster is designed, which can find the sound cluster for every continuously arriving data point. In this paper, we systematically defined the dataspace, the uncertain data, and proposed a updated algorithm of queries on uncertain data based on Effective Clustering Algorithm.
Applying Bionic Intelligent Algorithm Combined with Finite Element Method to Optimize Cable
Authors: Jiang Zhi Peng , Wen Xi Shan , Yuan Xiao Qing
Published: August 2013

The paper adopts bionic intelligent algorithm including particle swarm optimization and differential evolution algorithm combined with finite element method to optimize cable on the platform of ANSYS finite element soft. Parametric programming of a single-phase cable and a three-phase cable is accomplished to optimize the maximum electric field strength of cable insulation layer by using particle swarm optimization and differential evolution algorithm combined with finite element method, that provides enlightenment for optimizing high-voltage equipment in other aspects of electromagnetic field.
Maintenance and Update of Load-Balancing Clustering Algorithm of WSN for Data Gathering
Authors: Yan Xin Fang , Zhang Yong Kun , Tang Hai Ling , Wang Xiao Xiao
Published: August 2013

This paper introduces a Load-balancing Clustering Algorithm of WSN for Data Gathering (LCA-DG), so that the energy is distributed evenly between each cluster, thus prolonging the lifetime of network. A fast local maintenance and update algorithm is proposed on the basis of the optimization algorithm in this article, to make sure that the network will be able to restore quickly and operate normally after adding or removing nodes, so that this algorithm has good expansibility and self-recovery ability, and more in line with the needs of practical application.
Light Bus Drive Axle Design
Authors: Hu Hao , Yan Ying Min
Published: August 2013

In this paper, through the study of traditional light bus, found problems related to screening and using existing methods, bridge drive of light bus was designed. First determine the drive axle transmission ratio and reasonable distribution; secondly on the driving axle main transmission device structure and parameter design, including the design of main reducer, differential, half shaft design; finally completed the design of driving axle housing, in order to design the drive axle complete. And the use of traditional mechanical analysis methods of main parts of the driving axle ( reducer, differential, half shaft, axle and so on) for the strength analysis and calculation, including the gear bending stress calculation, strength check; gear contact stress calculation, strength check; half shaft torsional stress calculation. With the design idea and the design requirements of the rapid development, the three-dimensional design has become a necessary skill for designers, this paper introduces the basic functions of Pro/Engineer software and a simple application, and the design of the parts of the drive axle using the software.
Research on Propagation Numerical Simulation of Blast Shock Waves in Subway Station
Authors: Hu Yang , Kang Huai Yu
Published: August 2013

In this paper, we Research on Propagation Numerical Simulation and damage effect of Blast Shock Waves in Subway Station by using LS-DYNA dynamic finite element calculation program , the results reproduce the formation process of the explosive flow field, and analysis the shock wave waveform, attenuation and walking pattern, provides the theoretical basis for further experimental study.
Model of a Traffic Circle
Authors: Zhang Yan Hong
Published: August 2013

In this paper, the relationship between the number of entrance and exit, and traffic flow volume. When the number of entrance and exit is equal to 4 or greater than 4, and when the weaving section length is taken into consideration, the relationship has been studied in detail. For a given traffic circle, the road conditions in, around and out of the circle have been determined. We treat these calculation results as the reference criteria and construct two models. The one is regular critical space model and the other is two-left-turn phase control model. Finally, taken by the example of Lianban Circle in Xiamen, China, the above models have been tested and their strengths and weaknesses have been analyzed.
A Sensitivity Research of Numerical Simulation about Winter Sea-Land Breeze
Authors: Tang Xiao Lan , Cheng Shui Yuan
Published: August 2013

Using the WRF model and NCEP data, a typical winter sea-land breeze progress in China tropical island was simulated, analyzing the impact of wind field simulation with the horizontal resolution, analog range, nesting level, and analog time. The results showed: the simulate effects of the WRF model could not always keep step with the increase of horizontal resolution. Obviously there was a threshold for the model horizontal resolution. By the same token, analog range, nesting level, and analog time have its threshold. The accuracy of the simulation reduced when the threshold values were exceeded.
Research on Anti-Collision of Personnel Positioning in Underground Coal Mine Based on RFID
Authors: Liu Xiao Yue , Zhang Pei Lei
Published: August 2013

in order to avoid signal collision when two or more tags send recognizable signals to the reader of underground coal mine personnel tracking system , the binary tree search algorithm along with algorithms which improved from them is discussed, an adaptive anti-collision algorithm is proposed .In the respects of time and space the algorithm shows obvious advantages than the binary tree search algorithm ,so the probability of collision reduces greatly and the problem of collision maybe effectively solved.
The Prediction of the Error Rate in the Data Transmission Based on Improved Chaotic Optimization Neural Network
Authors: Liu Xin Ping , Xu Jun Peng , Liu Hui , Wu Xiao Ling
Published: August 2013

As the slurry continuous wave changes according to the measurement of drilling (MWD) date, the precision of error rate prediction is low and the process of transferring data will be affected by signals. Based on the BP neural networks extensive mapping ability and chaos optimization algorithms global convergent ability, we structure a kind of improved chaos optimization of BP neural network algorithm. This algorithm can avoid several problems, such as the convergent speed of BP neural network is slow and the BP neural network is easy to sink into local minimum. With the powerful ability of generalization and prediction, this kind of algorithm can also be used to predict the data transmission error rate in slurry continuous wave. Under the condition of small samples, we create a model of data transmission in slurry continuous wave, which is based on improved chaos optimization of BP neural network. Simulate experiment has tested this algorithms feasibility and effectiveness
Comparison of Three Regression Methods for the Winter Wheat Biomass Estimation Using Hyperspectral Data
Authors: Fu Yuan Yuan , Wang Ji Hua , Yang Gui Jun , Feng Hai Kuan
Published: August 2013

To make full use of the hyperspectral data, the strong multi-collinearity in the data is supposed to be taken into account. With this study we evaluated three multivariate regression methods which are principal component regression, partial least square regression (PLSR) and stepwise multiple linear regression. Furthermore, to identify reliable winter wheat biomass predictive models, two different types of spectral transformations (continuum removal, first derivative) were combined with the three regression methods, respectively. Amongst these combinations, the respective combination of three regression methods and continuum removal got the highest estimation accuracy, especially, the combination of PLSR and continuum removal (R2=0.715, RMSE=0.218kg/m2). The experimental results demonstrated that PLSR is recommended for highly multi-collinear data sets. The combination of continuum removal and PLSR could improve the estimation accuracy of winter wheat biomass.
Experiments Teaching Research on Internet of Things Engineering
Authors: Qin Ming Wei , Hou Bao Lin , Liang Ya Jun , Yao Yuan Cheng
Published: August 2013

Laboratories of IoT Engineering are occupied an important position in education industry. This paper, with the goal of grasping developing tendency and improving the application ability and combined with the characteristics of the Internet of Things Engineering of Southwest University of Science and Technology (SWUST) which focused on the training of application-oriented talent, proposed the experimental teaching programs of the Internet of Things Engineering and completed the development of experimental teaching platform. Its significance lies: to improve the level of teaching and research, improve the application ability of students, promote students employment, and enhance the competitiveness of the school.
Combined Method for E-Commerce Website Evaluation Based on Fuzzy Neural Network
Authors: Liu Huan , Krasnoproshin Viktor V. , Zhang Shuang
Published: August 2013

This paper describes method for E-commerce website evaluation. Fuzzy AHP and neural network were applied to solve the problem. The proposed system consists of four components: (1) hierarchical structure development for fuzzy analytic hierarchy process (FAHP), (2) weights determination, (3) data collection, and (4) decision making.
Reconfiguration of Distribution Network with Distributed Generation Based on Improved Ant Colony System Algorithm
Authors: Yang Peng , Mao Yi , Yang Yuan Wen , Tong Wei
Published: August 2013

In recent years, distributed generation has become a hot topic at home and abroad, and researchers have attached great importance to the new methods of reconfiguration in case of failure. This paper proposes to adopt improved Ant Colony System Algorithm for reconfiguration of the distributed power. Power loss and minimum load balance index as objective function, the ACS algorithms capability of avoiding being trapped in local optima can be enhanced. The algorithm can do better in global search and avoid the problem of the premature convergence. When ACS algorithm is applied to the IEEE33 node system, the simulation results show that the method can not only effectively reduce power losses, but also decrease load balancing index , thus improving the quality of power supply.
The Design and Realization of Packet Data Security in LTE-A
Authors: Li Xiao Wen , Liu Fang
Published: August 2013

In the wireless access technology system, reliable and more efficient security algorithm is important to guarantee high-speed data transmission of LTE. In the development process of LTE-A Radio Frequency Conformance Test System, we designed a detailed security process in PDCP ( Packet Data Convergence Protocol ) and realized it through encryption algorithm and Integrity algorithm. This paper adopts SDL and TTCN to test the security process of PDCP.And we applied it to LTE-A system successfully.