bluuebunny/crossref_metadata_2025 huggingface dataset:
A Simple Three-Dimensional Terrain Modeling Method for Complex Terrain Wind Environment Simulation
Authors: Chen Shi Ling , Lu Jun , Yu Wei Wei , Zhang Shao Liang
Published: September 2013

In order to solve the problems in complex terrain modeling by computational fluid dynamics(CFD) simulation at prophase, such as difficulty in collecting data, tedious modeling process, wasting times and so on. In this paper, combined various commonly digital technology，and the transformation between the network terrain file and CFD (PHOENICS) solid model is realized by using a new set of outdoor complex terrain rapid digital modeling method. Take mountain city -Chongqing as an object to analyses the near-surface wind environment. The method is directly generated by the network terrain data without any screening or simplified. The virtual model can be matched the actual terrain with the extreme. By using the simulation cycle for complex terrain, time will be greatly shortened for urban planning.
A Research on Sports Training Auxiliary System Based on Cloud Computing
Authors: Wu Hong Jiang , Li Xin Kui , Zhao Hai Yan
Published: September 2013

This study proposed the sports training auxiliary system design concept based on the characteristics of cloud computing and needs of modern sports training. The paper illustrates the key technology of system of body frame structure, infrastructure services, platform management, intelligent service, etc. The system not only to the popularization of computer-assisted training, improve the effect of training plays an important role, and can obviously improve the different regional sports resources is not balanced, the unequal status information.
Minimum Spanning Tree Dynamic Demonstration System Implementation
Authors: Chen Bang Ze , Yang Xiao Bo
Published: September 2013

The graph vertices design into classes, for each vertex in the design of the abscissa, ordinate and in-degree members, realizes the dynamic demonstration minimum spanning tree. Dynamic visualize Prime algorithm and kruskal algorithm implementation process. Around two window synchronization of animation, " in order to find the minimum edge " list box list the minimum edge of a minimum spanning tree ,with thick line in the left window drawing the found minimum edge and On the edge of the vertex, in the right box demo the process of algorithm dynamic execution.
Integrating Modular Units into the Production Line and MRO in Career Apparel Industry
Authors: Yang Jian Hua , Song Yang , Ma Zhi Chao
Published: September 2013

A production line and its MRO for career apparel industry is studied. Some modular units well organized by the department of equipment are integrated into the production line, and the bottleneck tasks are adjusted by means of operations study techniques. The line is balanced by the lines balancing technology. A hybrid layout mode with production lines and modular units is given to provide efficient preparations of equipment and tools and easy maintenance plans.
An Ant Colony Algorithm for Integrating Assembly Sequence Planning and Assembly Line Balancing
Authors: Yang Zhuo , Lu Cong , Zhao Hong Wang
Published: September 2013

Assembly sequence planning (ASP) and assembly line balancing (ALB) problems are two essential problems in the assembly optimization. This paper proposes an ant colony algorithm for integrating assembly sequence planning and assembly line balancing, to deal with the two problems on parallel, and resolve the possible conflict between two optimization goals. The assembly sequence planning problem and the assembly line balancing problem are discussed, the process of the proposed ant colony algorithm is investigated. The results can provide a set of solutions for decision department in assembly planning.
Study on the Development Strategy of Lean Logistics for Automobile Enterprises under Green Supply Chain Environment
Authors: Liang Dong , Wang Huan
Published: September 2013

This article introduced the production system of automobile enterprises' lean logistics based on the green supply chain. The author first analyzed the current situation about automobile enterprises' purchase logistics, production logistics, distribution logistics and reverse logistics, and found their problems, then put forward the requirements of the system, including lean organization, advanced technology and information sharing platform, and gave the countermeasures to implement lean supply logistics, lean production logistics, lean distribution logistics, and lean returned logistics based on the green supply chain.
Commodity Coding Research and Application of Ceramic E-Commerce Platform
Authors: He Fu Bao , Zhang Yi Lai , Guo Tong Jun , Chen Hong
Published: September 2013

This paper formulates the commodity coding rules based on the commodities classification of the existing ceramic E-commerce platform, and completes coding the existing ceramic commodities of the platform and automatic coding when add new commodity or modify commodity according to the rules. This can facilitate the unified management to the commodities of the ceramic E-commerce platform greatly, and can be well realize seamless connection with the enterprise management system related to the commodities of the informatization integrated service platform for ceramic enterprises, let the enterprise management system can connect both inside and outside freely and share resources with the e-commerce platform. Finally, uses the commodity code in commodity searching, supply the lack purchasing of ceramic kit, distribution management systems of the ceramic e-commerce platform and quick searching and statistics according to the classification in commodities of the background.
A Density-Based Potential Mission Risk Assessment Approach for Aerospace Products
Authors: Kai Mi , Hu Yun
Published: September 2013

Assessing the potential risk of mission via analyzing the product life cycle data (APRPD) is a useful aerospace product quality assurance tool. The structure of aerospace product parameters has become increasingly complex and correlations exist among the multi-dimensional parameters. It is necessary to take the correlation into account when deriving an effective APRPD analysis. In this article, a density-based APRPD approach for multi-dimensional is proposed. The local outlier factor (LOF) of the observation is investigated and according to the LOF value the potential risk are assessed. This non-parametric APRPD approach can be used to analyze non-linear correlated data and does not require any data distribution assumption. The performance of the approach is demonstrated via a numerical case.
Research on Vibration Isolation and Noise Attenuation Properties of Periodic Layered Structures
Authors: Wang Zi Jian , Jin Zhong Qing , Cong Yan
Published: September 2013

This paper investigates the suppression of vibration and noise radiation in a flexible isolation system through the use of periodic layered structures. A single-stage vibration isolation model is developed first. Then, the isolation performance of the periodic structure is studied. Furthermore, the influence of the isolator location and the phase difference on the radiated sound power of the foundation is investigated. The numerical results show that the vibration and noise can be greatly attenuated in the band gaps.
Analysis on Coupling Faults Induced Vibration of Hydropower Unit
Authors: Liang Xing , Liu De Hui , Gui Jia Zhang , Xie Yun Min , Huang Jin Guang
Published: September 2013

A mathematical model of hydropower units shaft is established to characterize the rotor motion with coupling faults which compose of mass eccentricity fault, parallel misalignment fault and angle misalignment fault, and then the simulation results is employed to analyze the impact weight of faults above for vibration and rubbing based on orthogonal test. The research showed that: the major-minor order of impact factors are mass eccentricity, parallel misalignment and angle misalignment. Additionally, the rotating rate is also related to the rotor vibration, and the high rate is easy to induce the rubbing under coupling faults.
Evaluation of Knowledge Resource Service Ability Based on Robust Projection Pursuit - Principal Component Analysis under Cloud Manufacturing Environment
Authors: Zhao Nan , Shao Hong Yu
Published: September 2013

According to the current situations of the unorganized and disorderly design knowledge as well as the weak innovation capability for SMEs under cloud manufacturing environment, and aiming at combining the design knowledge into ordered knowledge resource series, the service ability assessment model of knowledge resource was eventually proposed, and moreover, the Projection Pursuit-Principal Component Analysis (PP-PCA) algorithm for service ability assessment was further designed. The study in this paper would contribute to the realization of the effectiveness and accuracy of the knowledge push service, which exhibited a significant importance for improving the reuse efficiency of knowledge resources and knowledge service satisfaction under the cloud manufacturing environment.
Formation of High Aspect Ratio Macropore Array on N-Type Silicon
Authors: Wang Guo Zheng , Li Xiao Na , Yu Feng Yuan , Zhang Yao , Liang Yong Zhao , Chai Jin , Yang Ji Kai , Duanmu Qing Duo
Published: September 2013

The fabrication of high aspect ratio macropore silicon arrays (MSA) on n-type silicon under optimum photo-electrochemical (PEC) etching (anodization) conditions was demonstrated. The depth of the MSA can reach 350 μm with an aspect ratio of more than 100. With the presence of AOS (a type of anionic surfactant) in the electrolyte, the pore walls solution is slowest, and is more suitable for the preparation of high aspect ratio n-type MSA. The etching voltage is critical for the formation of high aspect ratio MSA on n-type silicon. The relative spectral response curve was measured for silicon photo-electrochemical etching. An IR-LEDs (850 nm) array was proposed as light source for illumination of whole silicon wafers, which was proved available.
New Wind Turbine High-Speed Shaft Design and Simulation of Hydraulic Shock Absorbers
Authors: Yan Li Wen , Ai Cun Jin , Xie Hui
Published: September 2013

For wind turbine high-speed shaft vibration, this article proposes a hydraulic shock absorber design, and detailed describe the working principle and structure of the shock absorber. Use Amesim Software conduct vibration simulation ,confirm that the design is reasonable.
Research on Simulation and Optimization of Dynamic Path Error of NC Machine Tools
Authors: Li Lian Yu , Li Jian Dong
Published: September 2013

Based on the introduction of the control principle of path machining of NC machine tools, this paper studies and simulates the dynamic path error of machine tools. Simulation result shows that the dynamic path error is related to the path curvature and the feed speed of machine tools. In the case that the path curvature has been set, this paper proposes a variable feed speed strategy to optimize the dynamic path error of NC machine tools. The comparison simulation result shows that this strategy can decrease dynamic path error and improve the machining precision effectively.
Analytical Calculation of Slotless Permanent Magnet Motor Based on Soft Ferrite
Authors: Zhang Xin Yi , Wang Xing Hua , Li Ming Hui , Zhang Xue Qin
Published: September 2013

High-speed slotless permanent magnet brushless motor based on soft ferrite adopts a large effective air gap structure. For the large effective air-gap, the air-gap flux distribution becomes uneven and the end leakage flux significantly increases. Thus, the traditional analytical method of the phase EMF is inapplicable. This paper deduces the analytical expression of the phase EMF based on the analytical calculation of the air-gap field and analyzes the distribution of the end leakage flux by 3D finite elements methods. Then the end leakage flux is considered by a correction factor of the core length. Finally the analytical calculation method is proved to be feasible by the comparison between the finite elements results and the prototype test results.
Design and Dynamic Analysis of Magnetorheological Shock Absorber Based on the Piezoelectric Technology
Authors: Wei Xiao Hui , Yu Si Jia , Nie Hong , Zhang Ming , Shao Yi Zhou
Published: September 2013

Based on the piezoelectric effect and magnetorheological technology, a parameter adaptive shock absorber was designed. Considering the practical working conditions of landing gear, mathematical model of the parameter adaptive shock absorber was built. Then on the basis of LMS Imagine.Lab AMESim software, the whole combined simulation model of self-adaptive control system was constructed and the drop dynamic simulation was conducted. Results showed that compared with passive control system, parameter adaptive shock absorber reduced the peak of axial force by 10.5% and increased the absorber efficiency by 5.6%.
Method for Lumped Parameter Simulation of Digital Displacement Pumps/Motors Based on CFD
Authors: Roemer Daniel Beck , Johansen Per , Pedersen Henrik C. , Andersen Torben O.
Published: September 2013

Digital displacement fluid power pumps/motors offers improved efficiency and performance compared to traditional variable displacement pump/motors. These improvements are made possible by using efficient electronically controlled seat valves and careful design of the flow geometry. To optimize the design and control of digital displacement machines, there is a need for simulation models, preferably models with low computational cost. Therefore, a low computational cost generic lumped parameter model of digital displacement machine is presented, including a method for determining the needed model parameters based on steady CFD results, in order to take detailed geometry information into account. The response of the lumped parameter model is compared to a computational expensive transient CFD model for an example geometry.
Based on NX NASTRAN Finite Element Analysis of Rotary Blade Axis
Authors: Li Xiang , Wang Hong Liang , Zhang Rui Hong
Published: September 2013

Rotary tillage is the most common method of modern farming land and the key component which transmits torque and bears soil counterforce and pound. Rotary blade axis（1GBF-12A）was studied in this paper using 3D design software(UG) and finite element analysis software(NX NASTRAN) to establish model analysis and static analysis. The result that the vulnerable area is at the middle of Blade Axis was obtained. The strongest bending stress and position of the Blade Axis is calculated. The research offers theoretical basis for improving future design.
Evaluation on Methods of Spatial Dependence Test
Authors: Ren Tong Xian , Yang Lu Mei
Published: September 2013

Methods of spatial dependence test are divided into prior-test and post-test in this paper. Prior-test main includes Moran's I test, the joint LM test, the maximum likelihood LM test, robust LM test, etc. Post-test main includes conditions LM test, LR test, Wald test etc. Research on methods of spatial dependence are evaluated in this paper. It pointed out that methods of spatial dependence test are mainly based on spatial section data model. The research on spatial dependence test of the spatial panel data model needs to be deepened.
Review of Human Factors in Maritime System
Authors: Han Duan Feng , Ding Song
Published: September 2013

The importance of human factors in maritime system is becoming recognized by the shipping and offshore communities. In this paper, the author is going to make an introduction of the application of human factors in maritime technology in recent years, and talk about some typical human factors challenges facing the maritime industry which are exceedingly common and need to be handled.
Properties of Process Gas Combustion Products
Authors: Honus Stanislav , Bukowski Przemyslaw , Juchelková Dagmar
Published: September 2013

The study deals with the issue of combustion of process gas that resulted from the pyrolyticly processed varied organic materials. The study describes combustion properties of the gas and the properties of the combustion product considering kinds of the entry materials. The selected materials (coal, rubber, or biomass) were pyrolysed at the temperature of 650°C in the experimental system having the maximal heat output of 200 kW. It was the system with the continual intake of entry materials the flow of which could reach the maximum of about 150 kg.h-1.
Intrinsically 3-Linked Graph with Knotted Components
Authors: Ren Qiu Ping , Wang Guang Hui
Published: September 2013

In recently years, intrinsically linked and intrinsically knotted graphs, as very important graphs in spatial graphs are becoming targets of some relatively new research areas. This paper is devoted to a new minor minimal intrinsically 3-linked graph, define the graph as intrinsically 3-linked graph with knotted components. The definition is proved by the lemmas, the conclusion is concluded.
Performance Evaluation of Vehicle Electronic Stability Program Based on Psychological Method
Authors: Gao Zhen Hai , Guo Zhang Yong , Zhou Shui Hui , Ma Kai , Zhao Hui
Published: September 2013

With the increasing of ESP‘s equipment rate in the vehicle market, how to evaluate and promote the performance of the syetem which the vehicle equipped with is becoming the major issue in decades. In this paper, a method from a psychological perspective is brought forward to build an accessment system for the electronic stability program which is based on the mental factor of the drivers after the great effort on the survey of the appilication of the Ergonomics-Psychology throught the world. The system concluded five factors: workload, situation awareness, trust, stress and locus of control, and formed a questionnaire based on 13 basic questions. After the deployment of the the driver simulator test, the results show that the evaluation system provides a new methold to access the electronic stability program, and should give a bright sight to the subjective-objective correlation of handling and stability.
Parameters Research of Precise Straightening Process in Roller Leveler
Authors: Li Shan , Wang Yu Qi , Liu Guan Yu , Zhang Yun Hua
Published: September 2013

Electrolysis is the main method of refined copper smelting. In order to obtain high-quality refined copper, it needs to ensure that the negative plate in the electrolytic cell has a high flatness. The precise straightening device in roller leveler is the last step to ensure the negative plate of high quality flatness. Studying the influence of parameters of precise straightening in roller leveler on the flatness of the negative plate has an important significance. Precise straightening process were simulated in ANSYS/LS-DYNA. The results of simulation were analyzed, on the basis of better meeting the requirements of enterprise, the most reasonable set of matching parameters was chosen to provide a reference for the enterprise designing and studying the roller leveler.
A New Piezoelectric Generator Based on Stairs
Authors: Jiang Zhao Wei , Yin Zhen , Li Hua , Zhang Jun
Published: September 2013

A mathematical model for the Double-crystal Piezoelectric Cantilever Generating Unit (DPCGU) was built and a new Piezoelectric Generator Based on Stairs (PGBS) with DPCGU was designed in this paper, the energy conversion efficiency of the PGBS which makes use of human kinetic energy was improved and the deficiencies of existing piezoelectric energy harvesting technology were avoided. The experiment of the generating capacity for the PGBS was carried out, and the consistency of the mathematical model results and the experimental results was verified by comparison.
Sustainable Innovation Design for Buckle Ring Machine of Button Battery
Authors: Jin Hui , Guo Hai Xia , Cao Guo Zhong , Wei Saina
Published: September 2013

With the rapid development of global economy, sustainable problems have aroused widespread concern by all countries in the world. The high level sustainable innovation methods are needed to solve sustainable problems effectively. Extraction process of sustainable design criteria based on patent knowledge mining is proposed, and the process model of for sustainable innovation is formed. Finally, the buckle ring machine is taken as an example to validate the effectiveness of the model.
Structural Design and Parameters Optimization of Rice Seed-Metering Device
Authors: Ma Jing , Lei Xiao Long , Ma Rong Chao
Published: September 2013

In order to improve the seeding quality of paddy planter, some parts of rice seed-metering, such as sufficient regulator and delivery tube, were optimally designed, and field experiment was completed to optimize the structural and working parameters. Central composite design was employed to as design the experimental plan by means of the Design-Expert software (Version 7.0). The parameters of travel speed (A), sufficient regulator’s angle (B) and length of delivery tube (C) were selected as influence factors, and seeding quality rate(y1), damage ratio of seeding(y2) and ratio of seeding holes(y3) were chosen as objective indexes. Regression models were established and analyzed based on Design-Expert and SAS software. The experiment results indicated that sufficient regulator improved quality of seeding and ratio of seeding holes especially with a few rice seeds in seed room. Under experimental conditions, the importance of each variable on y1, y2 and y3 was A>C>B, C>B>A and C>B>A and effects of the interaction of A and C on y1, the interaction of B and C on y2 and the interaction of A and C on y3 were significant by response surface analysis. By multiple objective programming, the optimal parameters were obtained as follow: travel speed of 2.8km/h, angle of sufficient regulator of 72°and delivery tube’s length of 0.25m. This study has important significant to well improvement seeding quality of rice direct-seeding.
Design of 42V Alternator on Automobile
Authors: Wu Yu Yin
Published: September 2013

The advantages and development of the 42V automobile power system are summarized and the operation mode is analyzed. The 42V brushless alternator is designed which is the key part of the system. The excitation rotor and armature winding are redesigned to satisfy the 42V system and increase the efficiency.
Detection and Extraction of Moving Object in Intelligent Surveillance System
Authors: Qiu Wen Hua , Qiu Zhen Zhen , Wang Liang
Published: September 2013

To solve the low automatic degree and low accurate alarm rate in the traditional intelligent surveillance system, a motion object segmentation algorithm based on level set method is proposed and implemented. The algorithm gains the primal contour curve by luminance difference between the video frames, and sets the curve as the primal zero level set. Then the narrow band level set algorithm is used to evolve the curve until achieving the segmentation result. Experimental results show that this method can greatly save the level set segmentation time and increase the detecting efficiency.
Improved BP Neural Network in Diagnosis of Nonlinear Fault
Authors: Xu Bin , Shen Xiao Ju , Xue Wei Ning
Published: September 2013

According to the nonlinear characteristics of transformer fault symptoms and fault types, the application of BP neural network to the problem of transformer fault diagnosis is presented. With a characteristic of the gas content ratio as the input, fault diagnosis model is established by using MATLAB software to achieve improved Newton method. And the simulation experiments show the effectiveness of the model of fault diagnosis.
Research on Technology of Gas Pipeline Leakage Detection Based on Infrasonic Wave
Authors: Wang Yong Qing , Wan Shun , Zhou Ying Chang , Yang Hong Guo
Published: September 2013

In the field of natural gas pipeline leak detection, based on infrasonic wave method of gas pipeline leak detection technology gradually be taken seriously. This paper introduces the basic features of pipeline leak signals and basic principles of infrasonic wave leak detection technology. It analyzes the key factors, which affect accurate positioning. According to the characteristics of leak signal and performance requirements of leakage monitoring system, the infrasonic wave speed algorithm in gas pipeline is modified. Using correlation analysis and wavelet transform method on the leakage signals, the dynamic response time diversity between sensors installed in first and last stop will be more precise. As a result, it improves the positioning precision of leak detection effectively.
Research on the Vortex Mass Flow Meter of Dual Bluff Body Based on Differential Pressure Principle
Authors: Duan Quan Sheng , Wang Li Cui
Published: September 2013

The lower limit of the existing vortex mass flow meter based on differential pressure is high. So the application of the existing vortex mass flow meter is limited in the measurement for low flow rate. This paper proposes a method using vortex mass flow meter of dual bluff body based on differential pressure principle. The differential pressure signal between the upstream and downstream can be amplified by the vortex overlap caused by the dual bluff body structure. The results of the simulation by Fluent show that this method can reduce the lower limit of measurement, and improve the measurement sensitivity effectively.
The Determination of Fluorescent Whitening Agent VBL by Fluorescence Spectroscopy
Authors: Sun Jia Yue , Di Qiu Mei , Xu Qi Guang
Published: September 2013

Comprehensive method for determining the fluorescent agents was studied through studying the fluorescence spectra of different concentration of VBL. The emission and excitation wavelength in the measurement was 275nm, and 434nm, respectively. When the concentrations of VBL are changing from 0 to 1.0 μg/mL, they have a linear relationship with the emitted fluorescence intensity. In this interval, the calibration curve is y= 1 6.713x+0.7879, showing strong correlation (correlation coefficient R2 is 0.9979). The average percentage of recovery is 89.9%, which meets the measuring requirements. The interaction between VBL and CTAB is preliminary studied.
The Pressure Loss Alarm System of Circulating Water in Calcium Carbide Furnace
Authors: Shi Fen Su , Zhou Yang , Wu Yong
Published: September 2013

In order to improve the manual monitoring methods of the circulating water in calcium carbide furnace, this paper designs a pressure loss alarm system about circulating water of calcium carbide furnace. The system completes real-time automation and control of circulating water system by combining PLC technology, field bus communication technology and configuration technology, which uses PROFIBUS field bus to communicate between upper computer and lower computer. The practical application shows that this system can effectively achieve real-time monitoring of the circulating water, fault diagnosis and maintenance management.
The Research on Loading Effect of Energy Transfer Model-Based QCM Immunosensor
Authors: Chen Yan , Huang Xian He
Published: September 2013

To improve the accuracy of quartz crystal microbalance (QCM) immunosensor, it is the key to distinguish accurately and effectively about the effects of mass loading and damping loading of a quartz resonator vibrating in damping environment. The energy transfer model (ETM) is introduced to deduce functional relationship between the product of absolute viscosity and density of the liquid deposit and the maximum amplitude of vibration at the quartz-resonator surface. Then the effect of mass loading can be rapidly distinguished from damping loading by measuring the frequency shift and the amplitude of QCM. This method provides a new theoretical basis for the application of QCM immunosensor in medical diagnosis, especially in tumor diagnosis.
Uncertainty Evaluation of Measurement Results for the Determination of Selenium in Shiitake by Hydride-Atomic Fluorescence Spectrometry
Authors: Chu Li Wei , Wang Shu Li , Zhong Yan
Published: September 2013

The content of selenium in Shiitake was determined by hydride-atomic fluorescence spectrometry and the sources of uncertainty were evaluated. Each parameter in mathematic model was analyzed to evaluate the type A and type B uncertainties in the method. To obtain the uncertainty evaluation , each uncertainty component was synthesized and extended by the current international method . The evaluation results showed that the major source of the uncertainty in the method was the sample solution volume and the standard curve.
A New Fiber Different Pressure Sensor Based on Intensity Modulation and Researched of Analytical Method
Authors: Hu Hao , Zhong Li Qiong , Zhang Da Bin
Published: September 2013

This paper presents a fiber different pressure sensor based on intensity modulation,This sensor is composed of number of pressure sensing probes, the form of each probe is used to the fiber axis symmetric distribution, Using the analytical method to establish a mathematical model of light intensity modulation function M, this mathematical model showed a ratio of the received light intensity and entered light intensity, the ratio is mainly composed of the effective receiving area S and the reflected light cone end diameter R, finally using the simulation method to calculate the output light intensity ratio curve of the receiving fiber when the distance parameter was changed, and imposed a range of pressure P on the elasticity of thin slices, the results showed that the value of has little effect on the sensor measuring range. Finally, done the level monitoring experiment in one container, and obtained that the change of output signal and liquid level had the same trend.Studies have shown that, by this structure of the differential pressure sensor designed, can be achieved for different pressure range and accuracy detection.
Design and Implementation of a Heart Rate Detection Device Based on Ballistocardiogram
Authors: Cheng Yong Bin , Zhu Li Qiang , Bi Da Cheng
Published: September 2013

In this study, a non-load blanket device for heart rate detection was designed, based on the function of ballistocardiogram (BCG) to characterize each heart beat. A bed blanket with underlaid pressure-sensitive cables was employed to simultaneously collect the BCGs and record the amplitude as well as frequency of heart beat in real time. The noise jamming was reasonably eliminated according to the Mallat fast algorithm with characteristics of BCG retained in the process. The obtained results of ballistocar-waveforms with obvious characters and values of cardiac rate demonstrated that good effects could be obtained by our heart beat detection device. This study proves to be a significant attempt for the BCG application on physiological parameters detections.
MMM Identifying Damage for Recycled Pumping Rod Base on SVM
Authors: Xing Hai Yan , Han Ya Tong , Qin Ping , Liu Chang Hai
Published: September 2013

Remanufacturing is an important way to develop recycling economy. However, the quality reliability testing is a bottleneck for the recycled product. Metal Magnetic Memory (MMM) technology is a valid method for early damage testing based on the magneto-mechanical effect. This paper aims at quantitative identifying damage for the recycled pumping rod（RPR）. The MMM rules of RPR damage are found through fatigue experiments. By using four-dimensional MMM parameter vectors, that is, peek-peek value，differential gradient，integral gradient and energy, are marked the damages. Furthermore，a multi-level damage classification model has been established base on optimal multi-classification algorithm of support vector machine (SVM) for RPR. The relationship is given between the damage degrees and MMM signals, which provides a theoretical basis and engineering tool of RPR reliability evaluation.
Study and Realization of Test Bench for Electric Vehicle Drive System Based on HIL
Authors: Feng Hui Zong , You Yun Gong , Huang Zhi Yu , Xian Zhi Liang
Published: September 2013

In this paper, the test bench for electric vehicle drive system is designed and the real-time display of speed, torque, current, voltage and other conventional parameters are realized that can offer lots of authentic data for motor performance evaluation, motor parametric design and optimizing control strategy. Road simulation is an important function in the test bench, so the paper analyses the driving electric vehicle in the longitudinal and gives the theoretical dynamometer dynamic output load values that can provide the theory reference for the further implementation of road conditions simulation based on LabVIEW. Finally, in order to validate the test bench feasibility, the start, accelerated and deceleration tests are implemented and show good performance of the bench.
A Kind of Statistics Data Processing with Indicators in an Autocorrelation Network
Authors: Liu Hui , Li Lei , Wang Chuan Mei
Published: September 2013

Efforts to develop data processing or some variable evaluation of the components autocorrelation network or interpersonal relationship network have been hampered by many obstacles. One important reason is the lag of autocorrelation network model (ANM) development. Autocorrelation network models are used to deal with the data with autocorrelation network data. However, some data are correlated with its lag station, so its necessary to introduce the time series in the ANM. The network autocorrelation model with lag and auto-correlated indicators or variables is put forward based on the expansion of the existing social network effect model. The estimation method of the network autocorrelation model is illustrated; the time series stationarity, the consistency and effectiveness of the estimation method are discussed. Also the application of the model is discussed, especially the practical significance on the forecasting and controlling.
A New Approach for the Detection of Kiwifruit Maturity by Electrical Impedance Technology
Authors: Liao Qiang , Su Li Li , Chen Li Li
Published: September 2013

In this paper,an identification method of kiwifruit maturity was established by using electrochemical impedance technique ,which used the electrochemical workstation and home-made needle-shape three-electrode system.We did it by taking samples from eight kiwifruit of different maturity,and by optimizing the measuring position,perturbation amplitude,excitation frequency,and utilizing BP neural networks.In the experiment,the measurement position was in the South of equator,perturbation amplitude 10mv,characteristic frequency 158Hz501Hz926Hz respectively.It selected 80 samples as a test set to establish the BP neural network recognition model and five samples of each characteristic parameters was selected,predict for a total of 40 samples.In the experiment,the identification accuracy reached 100% with these parameters.With higher recognition accuracy,the method provides a new method for the quick recognition of kiwifruit maturity.
Gesture Recognition System Based on Wavelet Moment
Authors: Chen Kun Wei , Guo Xing , Wu Jian Guo
Published: September 2013

Vision-based gesturerecognition is a key technique to achieve a new generation of human-computerinteraction. As few text input search system by gesture recognition isdeveloped, based on the existing gesture recognition techniques, we use thegestures which are corresponding to the Chinese letters and numbers as inputgesture and use Microsoft kinect to obtain depth image to conduct hand gesturesegmentation. First, the edge of the gesture is extracted by Canny algorithm,and then the feature is extracted based on wavelet moment. Finally the gestureletters are obtained. Achieved the text input system based on gesturerecognition. Experiments show that the system is able to achieve Chinesecharacters accurately and effectively.
Machining Parameters Optimization for WEDM Based on Grey Relational Analysis
Authors: Zhang Shi Ping , Ding Yi Chao , Zhang Wen Li
Published: September 2013

This paper presents an effective approach for the optimization of the wire electric discharge machining (WEDM) process with multiple performance characteristics based on the grey relational analysis. Twenty five experimental runs based on the Taguchi method of orthogonal arrays were performed to determine the best factor level condition. The response table and response graph for each level of the machining parameters were obtained from the grey relational grade. In this study, the machining parameters such as the machining voltage, the number of power amplifier tube, pulse width and pulse interval are optimized with consideration of multiple-performance characteristics, such as machining time and surface roughness. It is clearly shown that the above performance characteristics in WEDM process can be improved effectively through this approach. keywords: WEDM; grey relational analysis; parameter optimization; performance characteristics
Novel Iterative Truncated Total Least Squares Algorithm for Image Restoration
Authors: Zhang Lei , Cao Yue Yun , Yang Zi Chun
Published: September 2013

Image restoration is a typical ill-posed inverse problem, which can be solved by a successful total least squares (TLS) method when not only the observation but the system matrix is also contaminated by addition noise. Considering the image restoration is a large-scale problem in general, project the TLS problem onto a subspace defined by a Lanczos bidiagonalization algorithm, and then the Truncated TLS method is applied on the subspace. Therefore, a novel iterative TTLS method, involving appropriate the choice of truncation parameter, is proposed. Finally, an Image reconstruction example is given to illustrate the effectiveness and robustness of proposed algorithm.
Real-Time Human Skeleton Extraction Based on Video Sequences
Authors: Ye Qing , Dong Jun Feng , Zhang Yong Mei
Published: September 2013

Thinning algorithm is widely used in image processing and pattern recognition.In this paper we proposed an optimized thinning algorithm based on Zhan-Suen thinning and applied it to video sequences of moving human body to extract real-time body skeleton. We firstly used background subtraction method to detect moving body, then made use of adaptive threshold segmentation to gain the binary moving body image, finally we used the optimized algorithm to the binary image and got its skeleton. The skeleton not only maintains the movement geometry and body image’s topological properties, also reduces image redundancy and computation cost, and helps us clearly recognize the moving body posture.
Robust Digital Watermarking Algorithm on Combination of Fractal and Wavelet
Authors: Chang Yu Hong
Published: September 2013

To improve the robustness of watermarking algorithms, this paper proposes a robust digital watermarking algorithm based on combination of fractal and wavelet. By key the algorithm transfers watermark information into self-similar fractal images, discretes Haar wavelet to host image, and embeds two fractal watermark image after fractal into Haar wavelet sub-band. Simulation results show that the algorithm has good robustness to image distortion as noise, JPEG compression, shear, filtering, etc.
Structural Damage Identification by Detection Medium Technology
Authors: Chen Zhen Fu , Wang Zhong You , Liu Jun
Published: September 2013

There are two conventional techniques i.e. the approach based on structural testing and non-damaged detecting method, of which the former is partial to structural integrity analysis while the latter focuses on partial detection. The damage identification approach is discussed from the perspective of detection medium in the paper. And non-destructive testing in civil engineering (NDT-CE), of which the research status and existing issues are presented, can be attributed into three categories as following: one is based on the stress wave theory, such as impact-echo method, acoustic emission technique and ultrasonic pulse method; one employs the mechanism of electromagnetic wave propagation on behalf of GPR; one uses radiography as the medium, for instance, infrared imaging and computerized tomography. It is emphasized that ground penetrating radar (GPR) has been applied in practice and studied more and more, and moreover, the prospects in the field are provided.
Envelope Extraction Algorithms and the Application in Motor Imagery
Authors: Gong Xiao Xiao , Wu Xiao Pei , Guo Xiao Jing , Zhang Lei
Published: September 2013

The envelope information is an important feature in EEG signal processing. This paper analyses the application of Hilbert transform and sliding window Infomax algorithm in envelope detection of EEG signals from different respects, and compares the classification results in left and right hand motor imagery. From the results, we see that, the signal envelope extracted by Hilbert transform is more accurate than sliding window Infomax algorithm, but the latter is superior in signal denoising, real-time ability and the richness of characteristics, sliding window Infomax algorithm has greater application potential.
Medical Volume Data Zero-Watermarking Algorithm Using 3D-DCT and Chaotic Neural Network
Authors: Han Bao Ru , Li Jing Bing
Published: September 2013

This paper presented a new watermarking algorithm based on 3D-DCT and chaotic neural network in order to protect three-dimensional medical images. The algorithm adopts a wealth of information grayscale image as a watermark and three-dimensional medical image as the original carrier. It utilizes chaos neural network for scrambling and encryption of watermarking image. The embedded watermark has cryptographic security significance. Experimental results show that the algorithm is simple, which is a blind watermarking algorithm; the watermark extraction process does not require the original image. It is capable of resisting shear and filtering attacks.
Neural Networks Calibration Model Optimizing of Wheat Protein Based on Successive Projections Algorithm
Authors: Mao Xiao Dong , Sun Lai Jun , Hao Gang , Xu Lu Lu , Hui Guang Yan
Published: September 2013

In order to reduce computational complexity of modeling and improve the model's robustness and prediction accuracy, successive projections algorithm is used in the Neural Networks calibration modeling of wheat protein. Firstly, the spectral data is pretreated with first-order differential method and SNV method，and then a representative set of calibration samples are selected by SPXY algorithm. Secondly, making use of successive projections algorithm(SPA) to extract sensitive wave points of the original spectrum and the pretreated spectrum, and then the neural networks calibration model of wheat protein is established. The results show that the calibration model based on successive projections algorithm has a fast convergence speed and high accuracy, both of which are better than the calibration model established with the original data. Root mean square error of prediction(RMSEP) and prediction correlation coefficient(r) are 1.3332 and 0.94319 respectively, which can basically complete the grain reserves and the food processing profession division and the breeding preliminary generation.
Visual Monitoring of Network Devices Based on Google Maps
Authors: He Hui , Gong Cheng Ying , Wang Feng Juan
Published: September 2013

In order to improve the inconsistency of network management and network technology development needs, this paper designed and implemented a visual monitoring of network devices. It describes the design ideas, the main functions and its implementation. According to the technical characteristics of network devices and geographic distribution, the article uses Google Maps API for Flash / Flex, PHP and Socket. It has online status detection, device information query, topology dynamic monitoring, electronic map refresh and other functions.
Construction and Simulation of Fuzzy-PID Controller on Stepping Motor
Authors: Gong Qing Hui , Zhang An Min
Published: September 2013

In order to improve the performance of stepping motor system, the modern theory of fuzzy control and classical PID control theory are organically combined, the structure of fuzzy PID controller has built,which is suitable for the stepper motor control requirements, and corresponding control rules have designed that have realized the control of stepping motor. MATLAB software is applied for simulation. Comparing the fuzzy self-tuning PID controller with the conventional PID controller, the simulation results that fuzzy parameter self-tuning PID control system has less overshoot response, shorter reaction time. Fuzzy parameter self-tuning PID control has comprehensively improved the dynamic response performance of stepping motor control system, ensured the control accuracy.
Application of Self-Adaptive Smith Algorithm in Evaporator System
Authors: Zhu Xiang , He Jian Zhong
Published: September 2013

Refrigerating evaporator superheat has the characteristics of the large time delay and superheat model is uneasy to determine. But the general smith control has bad robustness and require a high model accuracy. The paper introduces a self-adaptive smith control way, this method can dynamically amend the estimated output through historical estimated Result, which can improve the predicting accuracy. Applying this control way to the evaporator superheat system, the control quality is improved, system runs stably,anti-interference performance improved and also the systems robustness.
The Design and Realization of Intelligent Glass Climbing-Cleaning Robot
Authors: Gou Yun Tao , Zhang Ming Yi , Zhang Dong Xia
Published: September 2013

We use ATmegal128 single-chip microcomputer as control processor to realize climbing wall-cleaning robot, by using four wheel drive structure and the principle of negative pressure adsorbing. This paper introduces the composition structure, function index of the robot, hardware and software design.The robot experiments show that the robot has a certain ability to adapt to the wall, which can remain stable posture during the cleaning process .Also it can finish surface cleaning work very good w ith characteristics of small volume, easy operation and low cost.
An Object-Oriented Model of Simulation for Internet-Based Multi-Operator Multi-Robot System
Authors: Gao Sheng , Zhang Yang , Chen Dong Dong
Published: September 2013

This paper describes an object-oriented model of simulation for multi-operator multi-robot system. A universal hierarchies and inheritances framework and messages passing patterns are proposed, which supply a unified modeling interface with reusability and extensibility. Developers can concentrate on the other related issues of application rather than programming issues.
PSO-Based Trust QoS Routing Algorithm for Wireless Sensor Networks
Authors: Wang Jun Wei , Wei Yong Tao
Published: September 2013

The existing routing algorithm of Wireless Sensor Networks (WSNs) pays more attention to the energy efficient. However, Quality of Service (QoS) supported and the validity of packet transmission unveil additional challenges. Based on the Particle Swarm Optimization (PSO), this paper presents a trust QoS routing algorithm for WSNs. Hierarchical structure is adopted and the trust value of the node is constructed with the direct trust value and the indirect trust value. In addition, delivery delay and packet loss are considered as main QoS metrics. Finally, under the optimization ability of PSO, the proposed algorithm tries to find the route with maximum residual energy and reliability in order to maximize network utilization as well as meets QoS constraints. Compared to typical routing algorithms in sensor networks, this new algorithm has better performance.
Application of the Standardization of the Relationship in the Database Design
Authors: Ma Cai Xia , Wang Yan Min
Published: September 2013

The library database design needs to accord certain rules, in relational database, this rule is paradigm. Paradigm is in line with a certain level of relational schema collections. Relational database relationship must meet certain requirements, namely to meet the different paradigms. At present, there are six kinds of relationship database paradigm: the first normal form (1NF), the second normal form (2NF), the third normal form (3NF), BC normal form (BCNF), the fourth normal form (4NF), the fifth normal form (5NF) and the sixth Normal Form (6NF). The 1NF is the minimum paradigm for requirement. Basing on the 1NF, further meeting more requirements is the 2NF and a higher level paradigm, in practical design application, you only need to reach the 3NF.