bluuebunny/crossref_metadata_2025 huggingface dataset:
Based on SoC Technology Frequency Measurement Meter
Authors: Zhang Wei
Published: May 2014

SoC is the ASICS (ApplieationSpeenIetgratdeCierulst) design methodology of the new technology, refers to the embedded system as the core technology used in PI-based, set of software and hardware in one, and the pursuit of products inclusive of the largest integrated system chip. The article in-depth exploration into the complexity of using VHDL language and system programmable logic device (CPLD) to develop "system-on-chip (SoC)" - such as adaptive frequency measurement accuracy of the basic methods to overcome the system of the previous frequency measurement accuracy is not high , measuring the accuracy of the process of change, approaching the speed of slow-type shift shortcomings.
Speech Recognition Algorithm Based on Nonlinear Partition and GFCC Features
Authors: Meng Xiang Tao , Yin Shi
Published: May 2014

In order to speed up and enhance the robustness of speech recognition system, this paper proposes a speech recognition algorithm based on segment-level features of GFCC. In training and testing stage we use segment-level features of GFCC which is more robust to noise instead of the widely used MFCC features. Experiment results show that both the training time and test time decreased, while the accuracy of system was made to improve.
An Improved Moving Object Detection Algorithm Based on Colour Separation
Authors: Zhang Wei , Xu Wei Hong
Published: May 2014

An improved background subtraction algorithm based on color separation method is improved to solve the problem of high rate of missing detection of moving targets in video surveillance. First, the algorithm implements the background subtraction of the current frame and the background frame for pixel blocks in independent RGB channels. Then the three foreground targets after denoising extracted respectively from three channels are combined by or operation to get a complete moving target. And then this algorithm removes the shadow in color model. After that the background frame from each channel is updated individually by recursive algorithm. The algorithm adopts a nonlinear way to change the learning factor for background updating. The experiments show that this improved algorithm can extract effectively foreground targets which are similar to the background’s grey level, with better accuracy and robustness.
Target Tracking Cluster-Based Control in a Dynamic Environment
Authors: Zhou Wen Zhen , Liu Zhi Zhuang
Published: May 2014

Aiming at cluster control methods existing network fragmentation, formations loss and poor tracking performance problems in mobile sensor network target tracking, a novel adaptive cluster control method is proposed to track moving target in a dynamic environment. In the proposed method, each agent gets parameters of the network in a decentralized way in order to determine the range of the network. Therefore, connectivity of the network, formation and tracking performance can be improved when it meets obstacles. In addition, in order to verify the effectiveness of the proposed method, some experiments have been performed to compare the proposed method with other existing methods. And experiments have demonstrated the effectiveness of the proposed method.
Research on Measurement Method of Rotational Angle of Plane Rudder Based on ADXL345 Sensor
Authors: Yang Quan Fa , Ye Gui Rong , Li Chang You
Published: May 2014

A measurement method based on digital MEMS’ acceleration sensor is proposed. The paper analyzes the working principle of capacitive acceleration sensor. According to the coordinate space transformation theory, a mathematical model of the measurement method was built, and the mathematical expressions of the angle displacement of aircraft rudder was deduced; A measurement system of aircraft tail wing inclined was established using MEMS’ acceleration ADXL345, and taken STM32 as controller. Setting different angles in 3D turntable and aiming at a typical inclination angles, the aircraft tail rotation angle experiment was simulated, and experiment achieved angle measurement arranging from-90°-90°. Experiment results demonstrate that when the inclination is close to the real inclination of aircraft tail wing, the maximum error is 0.277°, less than 0.3°, which meets the requirement of measurement. For aircraft currently being used, the measurement method can achieve the angle measurement of aircraft tail wing rotating effectively.
Design and Application of Online Landslide Monitoring System for Transmission Lines Corridor Based on the Optical Fiber Sensing Technology
Authors: Cao Yong Xing , Xue Zhi Hang , Zhang Chang Hua , Jia Yan Cheng , Lu Qing Hua , Jiang Chen
Published: May 2014

In south-west of China, landslide is a common kind of geologic hazards, which is a very serious potential threat for security operation of power system when it lies very close to transmission corridor. In this paper, an online monitoring device, containing three kinds of fiber optical sensors which respectively measure displacements & water pressure for different locations inside the landslide body, and width variances of the landslide surface fractures, is introduced in details. All these measured data, together with meteorology information obtained by local micro weather station, are transferred back to control center by GPRS, then software processes them to present land slide status. This device was already installed in the place where is near to No. 50 power tower of a certain transmission line in Sichuan, China. Until now it has successfully operated half a year. Large amount of data were obtained. Analysis results prove its effectiveness.
Soft Measurement Technique of Sewage Treatment Parameters Based on Wavelet Neural Networks
Authors: Wang Wen Cheng , Li Ke , Chen Zhong Xue , Niu Qin Zhou
Published: May 2014

There are certain nonlinearity, time variability, randomness and uncertainty in the process of using sequencing batch sludge method in sewage treatment. Therefore, propose a soft measurement technique for sewage treatment parameters basing on the model of Kernel Principal Component Analysis and Wavelet Neural Network. Use Kernel Principal Component Analysis as concise as possible in the case of the input variables can ensure that a smaller amount of loss and combine WNN soft-measurement model and on-line measuring instruments together, do real-time detection for redox potential, dissolved oxygen, PH, COD and so on parameter control information .PLC controller outputs control signals to control the entire system equipment operation. The simulation results show that compared with traditional methods, there is good dynamic performance, fewer error, which is with good robustness and stability.
Underwater Mining Vehicle Position and Azimuth Determining System Interface Programming
Authors: Zhi Li , Gou Han Mei
Published: May 2014

The underwater mining vehicle position and azimuth determining system employs the inertial integration to precisely track the mining vehicle, measure and solve numerical values of the mining vehicle’s speed to the true north and its coordinates in real time, and incorporates the odometer to continuously correct the error of the inertial navigation over time, which require the real-time record of the mining vehicle’s position data and graphing them to show. We adopt the VC++ software design to realize the control of the view displaying interface.
Intelligent Video Analysis System Based on ARM Cortex
Authors: Zhang Kai
Published: May 2014

With the development of the society, security monitoring system more and more get people's attention. Article designs the intelligent video analysis technology based on ARM architecture on the basis of Intelligent Video Surveillance, and discusses the application prospect of intelligent video analysis system.
RBF Neural Network Used on Universal Intelligent Monitoring System in Heavy Machinery
Authors: Lu Si Yuan , Zhou Qing Hui , Li Qing Bo
Published: May 2014

In the intelligent monitoring system of heavy machinery, the key technology is control algorithm because it is difficult to formulate exact mathematical model to the nonlinear and time-varying characteristic in heavy machinery. The monitoring system is firstly designed and developed for the universal system in heavy machinery. And then, RBF Neural Network is applied in the control strategy by OD2131 MCU(micro controller unit). The simulated curve is displayed by Matlab. Their dada communication between OD2131 MCU and Matlab is in CANopen protocol. Finally, the simulation is made for an electric motor. The simulation results show that adding artificial neural network compensation can enhance the accuracy in the intelligent control system.
A New Method of Seamless Navigation for the INS/WSN-Integrated System
Authors: Xu Yuan , Chen Xi Yuan , Li Qing Hua , Huang Hao Qian
Published: May 2014

This work presents a new method using Kalman filter (KF) and Least Squares Support Vector Machine (LS-SVM) for the inertial navigation systems (INS)/wireless sensors network (WSN) integrated navigation. In this mode, when the ultrasonic-based WSN is working well, LS-SVM is trained for the mapping between the position measured by INS and the corresponding error. Once the ultrasonic-based WSN is outage, the LS-SVM is used to predict the error of position, which is the unavailable measurement vector of the integrated filter when the ultrasonic-based WSN is outage. Thus, the filter in this mode is able to work where there is no data from the ultrasonic devices. The results show that the proposed method is able to provide continuous navigation information when the data of indoor positioning system is outage, and it is effective to reduce the probability of the estimating outliers.
Expanded Vermiculite Applied in the Catalytic Process as a Catalyst Support
Authors: Wu Mei Xia , Qiao Yong Sheng , Shang Jian Peng , Guo Yong
Published: May 2014

Amorphous NiB supported on expanded vermiculite (EV) catalyst was prepared as an example to show the superior characteristics of EV as a novel carbon support material. EV and the prepared catalysts were characterized by ICP, SEM, TEM and SAED. The catalytic activity of prepared catalysts was tested by the hydrogenation of sulfolene to sulfalone, with the introduction of ultrasonication the NiB/EV-U catalyst performed very high catalytic activity.
Data Analyzing Modeling about the Correlation between the Incidence of Stroke and Environmental Factors
Authors: Liu Wen Bin
Published: May 2014

. In the paper, The patient informations are analyzed in detail. The patients are divided into children, youths, middle-aged and old people. The incidence of the patients is obtained for statistical description. According to the incidence of stroke patient information and environmental factors, The law of the correlation between the incidence of stroke and environmental factors is mastered by means of statistical data analysis. And the reasons are analyzed.
Research on Combination Optimization of Parameters and Character Choice for SVM Based on Simulated Annealing and Improved QPSO
Authors: Li Wan Ling , Liu Yao Zhou , Deng Da Quan
Published: May 2014

In order to improve the classification accuracy of SVM, combination optimization of parameters and character choice for SVM was proposed. Improved QPSO algorithm was researched on in this paper. At the same time, simulated annealing and improved QPSO algorithm was adopted to train SVM in this paper in order to improve its training speed and diagnosis precision. At last the method mentioned above was applied to train and validate SVM using UCI data, and the result showed that this method was very good.
The Research and Application of Web-Based Data Mining Technology
Authors: Zhu Jian Xin
Published: May 2014

Along with Web on information content sharp increasing, Web data mining function obviously important. This article analyzed the Web-based data mining’s definition and its classification and its process as well as its application.
Solr Index Optimization Based on MapReduce
Authors: Yan Liang , Liu Shuang Guang , Lao Ding Xiong
Published: May 2014

For the time-consuming disadvantage of Solr when indexing large data, this paper combines MapReduce parallel computing framework, conducts a Solr index optimization study. The experiment proves that this study improves Solr’s efficiency of dealing with large data, and provides a solution to large data index.
A Structural Model of Leisure Activity of Females Based on InLinPreRa
Authors: Chen Hsiu Fen , Tsai Jui Hsiang , Shih Ching Tien
Published: May 2014

This research is regarding the optimized leisure activity selection when women choose. Apply the method of Incomplete Linguistic Preference Relations (InLinPreRa) to process of comparison and selection of the leisure activity. The most popular leisure which women always participate are listed in order: (1) exercise related (2) handicaft related (3) entertain related (4) knowledge related (5) social related. The most welcomed leisure activity is mountain climbing.
Optimal Design of Non-Uniform Linear Array Using Genetic Algorithm
Authors: Deng Wei Bo , Sun Hong Xin , Dong Ying Ning , Yang Qiang
Published: May 2014

An arrangement method for non-uniform linear array using genetic algorithm (GA) is proposed. It is a general purpose method and needs only the angle range of the signal directions and the desired aperture of the array. It has few parameters, simple processing steps and a strong stabilization. It can be applied to optimize arbitrary array configuration. Modified multiple signal classification (MMUSIC) algorithm is discussed for estimating coherent sources using the non-uniform linear array. Simulation results show that the performance of the direction of arrival (DOA) estimation has been improved effectively on contrast with other array structures, the validity of the proposed method is proved.
Improved Window Function in the Application of MFCC Feature Parameter Extraction
Authors: Bai Le Qiang , Zhang Xue Wei
Published: May 2014

In view of spectrum leakage and the contradictory problem of spectrum accuracy of main lobe and reducing spectrum leakage, MFCC algorithm based on improved window function is proposed. Improved window function is based on the mathematical analysis of Kaiser window, and under the condition of finite sampling points minuses weighted impact function where is at the frequencies that side lobe peaks of correspond to. The amplitude of improved window compared with Kaiser window is smaller, and main lobe width is the same, solving the conflicting problem of main lobe width and side lobe amplitude and reducing spectrum leakage. The experimental results show that speech recognition rate of MFCC feature parameter extraction algorithm based on improved window function is better than Kaiser window and Hamming window.
An Parallel Anti-Collision Algorithm Based on Adaptive Multi-Tree Search
Authors: Bai Le Qiang , Yang Xi
Published: May 2014

In order to improve the unstable system throughput and reduce the "misjudgment" issues, this paper proposes a kind of parallel multi-tree search anti-collision algorithm. The algorithm embeds pseudo collision time slot with OVSF spreading code in RFID systems for identifying tags. As there are more than one code channels in a pseudo collision time slot, the slot can identify tags concurrently, reducing the accumulated collision. Theoretic analysis proves that the system throughput is improved with the increasing of code length. Simulation results show that the new algorithm has more stable and higher system throughput.
Markov Modified Exponential Smoothing Forecast of Highway Passenger Volume
Authors: Zhao Xian Wei
Published: May 2014

To ensure the highway passenger transport policy and the allocation of scientific nature, the application of exponential smoothing method to analyze the highway passenger volume from 2000 to 2009,calculated once, twice and three times smoothness index and smoothing coefficient, and ultimately determine the three smoothing prediction model; according to the forecast model ,and calculate the highway passenger volume in the region from 2010 to 2014, compared with the actual highway passenger volume, the relative error values respectively is 3.243% and 4.729%, and both less than 5%, which can meet the accuracy requirements for the statistical confidence of 95%,the model is more in line with the actual situation, higher effectiveness.
The Research of High Efficient Data Mining Algorithms for Massive Data Sets
Authors: Tao Cui Xia
Published: May 2014

Data mining means to extract information and knowledge that potentially useful while still unknown in advance, from a large quantity of implicit incomplete, random data. With the quick advancement of modern information technology, people are accumulating data volume on the increase sharply, often at the speed of TB. How to extract meaningful information from large amounts of data has become a big problem must be tackled. In view of the huge amounts of data mining, distributed parallel processing and incremental processing is valid solution.
Analysis and Improvement of Combination Rule in D-S Theory
Authors: Wang Ruo Cheng
Published: May 2014

In this paper, the evidence combination principle of Dempster-Shafer (D-S) evidence theory is analyzed in detail. And the method of evidence combination is improved because of the deficiency of D-S evidence theory. Considering the principle“the minority should be subordinate to the majority”, based on Yager’s rule, we put forward a new effective combination rule which works more reasonably.
Research on Continuous Cooling Transformation Curve of a C-Si-Mn Steel
Authors: Hu Zhang Wei , Xu Guang , Zhang Chen , Hu Hai Jiang
Published: May 2014

The CCT curve of a C-Si-Mn steel was investigated. The hot simulation tests at different cooling rates were conducted on Gleeble-1500 simulator and microstructures were observed. Based on transformation temperatures recorded by dilation curves and microstructures, the CCT curve diagram for tested steel was plotted. The effects of cooling rate on microstructure and transformation temperature were studied. The results provide the theoretical basis for determination of hot processing and heat treatment technology of C-Si-Mn steels.
Microscopic Mechanism of Salt-Bearing Polymer Flooding
Authors: Sun Ling Hui , Li Ji Hong , Sun Chun Liu , Zhang Yun Long , Li Zhi Qing
Published: May 2014

In order to study the mechanism of salt-bearing polymer flooding, using micro-flow technology, experimental study of salt-bearing polymer flooding residual oil process was carried outin two microscopic models of hydrophilic and lipophilic formation.Its microscopic percolation mechanism wasinspected. In hydrophilic model, after injecting salt-bearing polymer residual oil is capturedand migrated, and there is residual oil drawinganddeformation phenomena which is consistent with common polymer; while flooding process due to larger viscoelasticity of salt-bearing polymer, normal stress is generated in the flow, so the cutting action of the residual oil is obvious. In lipophilic model, after injecting salt-bearing polymer, residual oil migration, the film gathering,interface transport, a bridge and drawing phenomenon happened which is consistent with common polymer; polymer difference between salt-bearing polymer andcommon polymeris that from the ordinary and the residual oil film formed by common polymer is flexible and easier to form "emulsion.
Regression & Correlation Analysis of Higher Mathematics on Probability and Statistics
Authors: Yang Jing Mei
Published: May 2014

Higher mathematics and Probability and statistics are the core course in university,There is a close relation between the two. By comparison and analysis of the scores of the two courses, this paper attempts to show that higher math scores on the impact of Probability and statistics, Higher mathematics X is in linear relationship with Probability and statistics Y,The coefficients for the two is r=0.541. the correlativity between higher mathematics and Probability and statistics has been investigated by regression analysis,the regression equation between the two is obtained,therefore the quantitative analysis can be carried out.Conclusion: There is a good linear correlation between higher mathematics scores and Probability and statistics scores.Description the quality of higher mathematics achievements on the impact of Probability and statistics can not be ignored, for the construction of Higher mathematics courses provide a strong basis.
A Research on the Informed Tectonics Design Model Based on Material
Authors: Su Ke
Published: May 2014

The institutionalized separation between form, structure and material, deeply embedded in modernist design theory. This research proposes a model based on informed tectonics for a material-based approach enabled form-generation. Based on the analysis of user demand, this thesis develops a way to build up user demand model based on user preference. This model gives some reference to the development of product innovation.
Analysis of the Modification Method for Cook-Torrance Model
Authors: Li Ming Zhe , Zhao Ji Guang , Zhou Yun Ting
Published: May 2014

A visible difference exists between the measured Bidirectional Reflectance Distribution Function (BRDF) and the modeled BRDF. The Cook-Torrance model is chosen to simulate the BRDF for its popularity and flexibility. Taking aluminum for example, this paper analyzes the difference between the experiment data and the simulation data. There is a great and remarkable difference in the situation of specular reflection by comparison in this paper. Consequently, trigonometric factor, numerator and denominator addition factors and scaling factor are brought in the Cook-Torrance model. Finally, a modified Cook-Torrance model is presented. The simulation data of the modified Cook-Torrance model show that it’s more suitable for the analysis of the aluminum BRDF than the classic Cook-Torrance model.
Research on Fixture Locating Error Verification Based on Statistics Method
Authors: Han Wen Li , Zhang Fa Ping , Gao Bo , Zhai De Hui , Li Hao
Published: May 2014

Fixture Tolerance is one of the most important factors influencing the machined part accuracy. However caused by the manufacturing error and the assembly error of locator, the workpiece location error should not be neglected, which has led to fixture accuracy decay. A location error verification method is presented to improve the workpiece location accuracy. First, the origin of location error and the transfer process of error between locators and the workpiece are given. Second, random numbers and statistical analysis method are used to simulate locators’ errors. Finally, the location layout optimization model and the process are given. This method can be used to verify the location error and fixture design process.
Data Compression and Reconstruction for EV Charging Stations Based on Principal Component Analysis
Authors: Zhang Qiang , Liu Li Ping , Liu Chao
Published: May 2014

As a zero-emission mode of transportation, an increasing number of Electric Vehicles (EV) have come into use in our daily lives. The EV charging station is an important component of the Smart Grid which is now facing the challenges of big data. This paper presents a data compression and reconstruction method based on the technique of Principal Component Analysis (PCA). The data reconstruction error Normalized Absolute Percent Error (NAPE) is taken into consideration to balance the compression ratio and data reconstruction quality. By using the simulated data, the effectiveness of data compression and reconstruction for EV charging stations are verified.
A Kind of New Design Optimization Strategyand its Application in Plate Finned-Tube Heat Exchanger
Authors: Fan Gen , Liu Wen Bin
Published: May 2014

A whole new design optimization strategy for the plate finned-tube heat exchanger (PFTHX) was provided. According to the industrial application of the domestic heat exchanger manufacturers, the tube arrangement, fin number, etc. of a PFTHX with designated coil can be sifted stage by stage with: (1) the confine of size parameters of the coil, tube passes, the flow velocity of the fluids of both sides, (2) the confine of the pressure drop of the fluids of both sides, (3) the margin of heat transfer area, etc. The calculation amount can be reduced significantly and at the same time, all the solutions meeting the thermal indices and discrete design parameters can be obtained.
Optimization of the Distribution Geometry of Station by PSO Based on the System of Velocity Measurement and Orbit Determining
Authors: Zhang Wei
Published: May 2014

The exterior ballistic measurement is the basis of the precision analysis for the vehicle experiment, and the distribution geometry of the velocity measurement system has important influence on the estimation precision of the exterior ballistic measurement data. This paper proposed an optimization method for distribution geometry of the velocity measurement device by PSO, and the optimized project under the unconstrained and constrained which the alternative sites have been given is obtained. The simulation results show the effectiveness of the optimization method for distribution geometry.
Research on the Damage Effect to Supersonic Missile Engine Cabin by Discrete Rod Warhead
Authors: Jiang Ying Zi , Wang Wei Li , Fu Lei , Huang Xue Feng
Published: May 2014

For study the damage effect of discrete rod warhead to supersonic missile engine cabin, the rods attacking the supersonic missile engine cabin were simulated by using ANSYS / LS-DYNA software. Acquired the influence rules that the postures of the rods and the number of the rods attacking the target to damage the supersonic missile engine cabin. The results show: the postures of the rods have great influences to damage the supersonic missile engine cabin; When the rods are straight circular permutation, the rods have the best damage effect to engine cabin; the smaller of the angle between the rods vertical axis and the engine cabin vertical axis, the damage ability is the strongest. Really not the more number of the rods attack into the supersonic missile engine cabin, the damage effect is the better; contrasted the conditions with the same rotation angles, the damage effect to engine cabin, the conditions of 4 rods attacking into the engine cabin are better than the conditions of 5 rods attacking into the engine cabin.
Analysis of Welding Crack in Thermal Sprayed Water Wall Tubes and the Establishment of Welding Procedure
Authors: Wang Qiang , Wang Qing , Zhang Guang Xing , Zhao Ji Feng , Li Wen Peng , Liu Chang Fu , Xu Xue Xia , Guo Jing Yang , Cui Hong Xia
Published: May 2014

The cause of welding cracks in thermal sprayed water wall tubes was analyzed, the choice of nondestructive testing method was discussed, and a welding procedure for the water wall tube with thermal sprayed coatings was established successfully.
A Space Time Autoaggressive Method Based on Parameters Estimation for Airborne MIMO Radar
Authors: Chen Xing Hui , Gao Shi Qiao
Published: May 2014

The clutter distribution of an airborne multiple input and multiple output (MIMO) radar in non-homogeneous environment varies with ranges and samples in different range gates are not independent identically distributed vectors, so that the statistical space time adaptive processing (STAP) methods degrade heavily. A clutter suppression method for airborne MIMO radar in non-homogeneous environments is studied in this paper. Firstly, Space time autoaggressive (STAR) method is introduced to airborne MIMO radar for clutter suppression and then an AR model parameters estimation method for STAR is proposed to decrease the complexity of traditional method. Simulation results show the proposed method can estimate parameters exactly and rapidly with only few training samples and be fit for clutter suppression in non-homogeneous environments.
Effect of Channel Estimation Error on Coordinated Small-Cells with Block Diagonalization
Authors: Shin Soo Young , Nugraha Toha Ardi
Published: May 2014

This paper investigates the implementation of cooperative communication in small-cells network. Cooperative communication is some cells that in a network can work together, ex. joint transmit power and exchange resource allocation among them. Therefore, cooperative small-cells can be possible to add more multiple input multiple output (MIMO) antennas. But, channel state information (CSI) is required. In practice, perfect channel state information may not be perfect due to the real condition of the real environment such as delay, error, and etc. This paper illustrates cooperative small-cells under error model on the channel estimation. Our propose system is combined by implementing block diagonalization pre-coding and power allocation based on water-filling algorithm. As investigated by simulation results, our proposed coordinated small-cells showed good performances compare to previous algorithm either with perfect channel or with the error channel estimation.
Application of Multifractal Statistics Method on Time Series
Authors: Li Yun Fa
Published: May 2014

The fluctuations observed in tokamaks, stellarators and linear machines were similar with turbulent plasma in fusion devices, which were stochastic system, and the application of statistics method on them is studied in depth. First, the relating theories were summarized; Second, the mathematical model of the multifractal process is analyzed; Finally, the simulation on multifractal analysis of plasma turbulence and financial time series is carried out, results show that this method can be applied in time series effectively.
Topology Algorithm of Power Network Based on Breadth-First-Search
Authors: Li Lin Wei , Ma Xing He , Zhang Lian Ming
Published: May 2014

Aiming at the defects of repeating searching the path, low efficiency and the slow speed of the traditional topology algorithm, proposes a network topology algorithm based on Breadth-First-Search in this paper.Introduces the topology modeling method,and the electric equipment is abstracted into nodes and branches,making the topology process not constrained by the network connection and structure,enhancing universal property of the algorithm.Then introduces the traditional method, and analysises the disadvantages. At the same time,puts forward a new method. Uses node-branch adjacency list in the new method,which improves the topology speed.When the local switch information is changed, can modify the node-branch adjacency list to conduct the local re-topology,so it improves the topology flexibility. Finally, through the example, proves the superiority and practicability of this algorithm.
Soil Nailing Reliability Optimization Design of Foundation Pit Based on Response Surface Method
Authors: Cao Jing , Liu Tian , Liu Hai Ming
Published: May 2014

Aiming at the randomness and variability of geotechnical parameters, the uniform test and nonparametric regression technique of alternating conditional expectation (ACE) is used to establish the efficiency response surface. On the basis of response surface, the Monte Carlo method was used to research the reliability optimal design and analysis method of soil nailing structure. Considering various failure modes of soil nailing structure, and setting the system failure probability as constraint, and per linear meter length of soil nail as the objective function, than to establish the reliability optimal model of soil nailing structure of foundation pit with the indexes of soil shear strength c, φ and ground overload as random variables. Through an engineering case analysis, the feasibility and effectiveness of this method are verified. Finally, the superiority of the proposed method is proved compared with the deterministic method.
Effects of Graphene Oxide on the Structure of Human γ-Globulins
Authors: Feng Ru , Jiao Yan Peng , Zhou Chang Ren
Published: May 2014

Graphene and its derivatives have become great concern in biomedical fields. Though many investigations about their toxicity have been reported, investigation on the interaction with γ-globulins is lacking. In this work, we studied the effects of the graphene oxide (GO) on the structure of γ-globulins by UV absorption spectra, circular dichroism (CD) and fuorescence spectra. The results showed that GO could alter the secondary structures and conformation. The results obtained in this study provided good insight into understanding the biomedical application of GO in vivo.
Low Permeability Reservoir Water Displacing Oil and Water Flooding Characteristic Curve Theory
Authors: Zhao Chun Sen , Ren Qing Lin , Li Pei Jing
Published: May 2014

The so-called water flooding characteristic curve refers to the oilfield water injection (or natural water drive) development process, a relationship between curve cumulative oil production, cumulative water production and accumulation of fluid production. These curves have been widely used for water injection development of dynamic and recoverable reserves forecast. After many years of practical application, summed up the four kinds of water drive characteristic curve, they have a good practical significance. Recoverable reserves are important indicators of field development is the main basis for planning and design, the application of waterflooding characteristic curve can be predicted oil recoverable reserves. Four water flooding characteristics discussed above curve is mainly applied in high-permeability oil field, which did not consider starting pressure, but should consider the impact of low permeability oilfield actuating pressure gradient on the moisture content.
Estimating the Residual Space between the Surfaces of Clothing and Human Body
Authors: Zhang Yi Jun , Zhong Yue Qi , Ji Ji , Wang Zhen , Ji Yu Xiao
Published: May 2014

This paper presented a method for measuring the residual space between clothing and human body based on 3D scanning devices. In data collecting procedure, the 3D scanning devices were used to collect original point cloud of apparels and human body. The Geomagic software was used to process the noise reduction and surface reconstruction. In measuring procedure, the volume was calculated by algorithm. Therefore, we can get the value of the residual space between clothing and human body.These residual space is called air gap. Thickness of the air gap is closely related to thermal insulation properties [1] and thermal wet comfort performance of clothing. Meanwhile, the stress levels of apparels on human body can be determined through observation [2], so this technology can be used in the field of fashion design. In addition, 3D virtual try-on system is one of the applications with important value [3].
A Novel Color-Image Enhancement Approach for Night-Vision Images
Authors: Wu Si Qi , Hu Yao , Yu Wei Yu , Feng Jiu Chao
Published: May 2014

Night-vision devices are becoming more and more important now, but images captured by these devices often have unpleasing visual effects. According to the characteristics of night-vision images, in this paper we propose an image enhancement approach maintaining color fidelity. Firstly, the image is divided into RGB channel and decomposed into reflectance component and illuminance component. Secondly, the non-uniform illuminance component of the image is filtered again to eliminate the uneven illumination. Finally, we combine the reflectance component and the corrected illuminance component and adjust the brightness of the combined image. The experiment result shows that the proposed enhancement approach has high-performance.
Fast Algorithm for Adaptive Gaussian Chirplet Signal Decomposition
Authors: Guo Jian Feng , Wang Wei Dong , Liu Jin Zhao
Published: May 2014

It is well known that adaptive Gaussian chirplet signal decomposition algorithm has the best time frequency resolution in all signal decomposition algorithms. It is widely used in non linear and non stationary signal decomposition, especially for the signal which is superposition of chirplet functions decomposition. But it has a large amount of computation. In this paper, we propose a fast algorithm based on short time Fourier transform (STFT) method and we change parameters’ domain.
Using this fast algorithm to decompose a four atoms non-linear signal computes very fast and it can also avoid the cross term’s interferer of the Wigner-Ville distribution.
Effect of Heat Treatment on Structure and Mechanical Properties of Al-30 Wt.% Si Alloys Refined and Modified with Sr+B+RE
Authors: Li Xiao Song , Cai An Hui , Zeng Ji Jie
Published: May 2014

On the basis of orthogonal experiment, the effect of heat treatment on structure and mechanical properties of Al-30 wt.% Si alloys refined and modified with Sr+B+RE has been investigated. The results show that the solution temperature and holding time on the alloy microstructure and hardness are affected. When the holding time is constant, as the solution temperature increased, primary silicon more fully integrated into the matrix, the matrix divided by the effect of more and more obvious, eutectic structure becomes coarse, roundness becomes high, the alloy hardness to improve. When the solution temperature is constant, with the holding time increased, primary silicon more fully integrated into the matrix, the matrix divided by the effect of more and more obvious, eutectic structure becomes coarse, roundness becomes high, the alloy hardness increase. When the temperature reaches 540°C, the holding time makes eutectic roundness variation, the hardness declines, the alloy hardness is hardest when solution temperature is 540°C and the holding time is 7h. Optimum heat treatment parameters: 540°C×7h.
Adaptive Image Denoising Approach Based on Generalized Lp Norm Variational Model
Authors: Wang Yi Yan , Wu Shi Yun
Published: May 2014

The well-known methods based on gradient dependent regularizers such as total variation (TV) model often suffer the staircase effect and the loss of edge details. In order to overcome such drawbacks, an adaptive variational approach is proposed. First, we introduced a Gaussian smoothed image as the variable of the Lp norm, and then we employed the difference curvature instead of gradient as new edge indicator, which can effectively distinguish between ramps and edges. In the proposed model, the regularization term and fidelity term are both adaptive. At object edges, the regularization term is approximate to the TV norm in order to preserving the edges; in flat and ramp regions, the regularization term is approximate to the L2 norm in order to avoid the staircase effect. Meanwhile, we added a spatially varying fidelity term that locally controls the extent of denoising over image regions according to their content. Local variance measures of the oscillatory part of the signal are to compute the adaptive fidelity term. Comparative results on both natural and medical images demonstrate that the new method can avoid the staircase effect and better preserve fine details than the other variational models.
Image Classification Based on Conditional Random Fields
Authors: Yan Yang , Huang Wen Bo , Wang Yun Ji
Published: May 2014

We use Conditional Random Fields (CRFs) to classify regions in an image. CRFs provide a discriminative framework to incorporate spatial dependencies in an image, which is more appropriate for classification tasks as opposed to a generative framework. In this paper we apply CRFs to the image multi-classification task, we focus on three aspects of the classification task: feature extraction, the Original feature clustering based on K-means, and feature vector modeling base on CRF to obtain multiclass classification. We present classification results on sample images from Cambridge (MSRC) database, and the experimental results show that the method we present can classify the images accurately.
The Image Feature Extraction Algorithm Based on the DWT and the Improved 2DPCA
Authors: Li Wu
Published: May 2014

The technology of 2DPCA is the feature extraction method proposed aiming at two-dimension image based on the traditional PCA algorithm. The paper proposed a improved weighting 2DPCA algorithm, combined with the two-dimension discrete DWT to handle the image, posing the new feature abstraction method, experiment improved that the new feature abstraction method can improve the target recognition efficiently compared with the original 2DPCA algorithm.
LMS Blind Adaptive Multiuser Detection for Underwater Acoustic Communication with MMSE and MOE Criteria
Authors: Wang Zhong Qiu Qiu , Wang Zhen , Wang Hong Ru , Wang Jun Cheng
Published: May 2014

In order to solve detection of multi-user detection in underwater acoustic communication networks, blind adaptive multiuser detection method using LMS algorithm was proposed to solve the MAI problem of multi-user detection in underwater acoustic communication channel when users increase. Two type simulations were executed, including synchronous and asynchronous multi-user simulation analysis, to verify the validity of LMS multi-user detection algorithm and inspection machine. The verification of the effectiveness of the MMSE and MOE algorithm for LMS multi-user detection algorithm was done by simulation.
Fault Analysis of Communication Network Based on Combined Rules of Fault-Tree and Code Book
Authors: Yan Sheng Chao , Chen Li Sha , Qi Juan
Published: May 2014

In order to find the fault root cause for power communication network alarms, it uses the fault analysis rules base which based on the method rules’ combination of fault-alarm event tree and code book, and also combines the gradual accumulated troubleshooting case base to achieve the intelligent analysis and processing of faults. This fault analysis technique, which combined the rules and cases, has improved the troubleshooting level of the power communication network.
Software Demodulation Method of PCM/FM Signal Based on the Maximum Likelihood Estimation
Authors: Wu Yan Jun , Fu Gang , Yao Xue Lu
Published: May 2014

Describes the establishment of maximum likelihood estimation model and victor than the realization of the search path. At the same time according to the data block transmission mode in the software and the characteristics of victor than path search, research a kind of software demodulation is implemented based on data redundancy, make full use of the parallel processing computer system performance, improve the operation efficiency of the algorithm. And the algorithm error rate as an index, compares the software likelihood estimation algorithm with the traditional frequency demodulation performance, results show that the BER 10-4 when algorithm can get the demodulation gain of about 3 dB.
Implementation of Multi-Vehicle Terminals' Data Transmission Based on HTTP Communication Protocol
Authors: Cheng An Yu , Lin Xiao Yu , Feng Wen Long
Published: May 2014

Vehicle terminal can upload the vehicle status information to the server in time, to provide service for the users with more security. But vehicle terminal in the process of upload information to the server need to solve many issues, such as a large number of terminals connecting to the server, large amount of data, the data of transmission in various forms, the server is not stable enough and many other issues. This design uses the Hypertext Transfer Protocol (HTTP) to achieve reliable data transmission between the WEB server and vehicle terminals, and the load of server is lower, so the server can support more vehicle terminals’ connection.
Performance Analysis of Unambiguous Tracking Algorithms for BOC Modulated GNSS Signals
Authors: Lin Xin Hui , Li Jian , Zhang Lei , Liu Feng
Published: May 2014

BOC modulation is a major modulation of the new generation GNSS systems. Compared with the existing BPSK modulation, BOC modulation has a better pseudo-code accuracy and better resistance to multipath and interference performance. However, BOC modulation also brings tracking ambiguity problem caused by the vice correlation peak. A series of algorithms have been proposed to eliminate ambiguity, such as Single Side lobe, CCRW ASPeCT, Bump-Jump, DET, and so on. The principle of these algorithms, achievement of difficulty and the performance is not the same. In this paper, a low-level BOC (1,1) signal and a higher order BOC (15,2.5) signal is taken into consideration, performance of those above mainstream algorithms to eliminate ambiguity is simulated and the resource depletion is analyzed. Then, a compatible algorithm is proposed to adapt different BOC signals. The research has a certain reference value for the receiver’s BOC tracking channel design and engineering implementation.
Time Delay Signal Processing Research in Sound Source Localization Technology
Authors: Wang Ming , Guo Xian , Li Xiao Mao , Hu Xiang Chao , Qian Hai , Zhu Bao Liang , Li Yan Jie
Published: May 2014

Time delay estimation is a key technology of array signal processing, which is designed to estimate the time delay of the sound source signal reaches different sensor. Because of differences in the weighting function method, existing methods of generalized cross-correlation time delay estimation have their own anti-noise and anti-reverberation characteristics. In this paper, the existing various delay estimation algorithm comprehensive is compared, which reveals their advantages and disadvantages, and further improved direction of time delay estimation algorithm is given.
Application of Network Experimental Platform in Evaluation of Electric Power Communication Network
Authors: Huang Zhi , Yu Peng Fei , Chen Wei , Yu Qiang , Ren Jie
Published: May 2014

Constructing the network experimental platform is one of the effective assessment methods of digital substation communication network. It is introduced in great detail that “Common Network and Shared Port” is the special feature of intelligent substation communication network nowadays. It is a simulation technology based on the network experimental platform and sum up some credible, quantitative and accurate methods. Because they are need to adapt to the development of the digital substation communication network. Specially, the situation of different network architectures and the unpredictable performance have been changed in the near future. As a new generation of intelligent substation communication, this method can provide strong support for network constructions.
Implementation of Experiment Functions in Blackboard Learning System with Virtual Reality
Authors: Huang You Liang , Liu Ren Quan , Chen Guo Yong , Zhai Xing
Published: May 2014

With the computer technology development during recent years, the virtual reality technology plays an important role in distance education-virtual experiment. Traditional virtual experiment solutions confront with either the lack of scientific management or the difficulties in further extensions. In this paper, we develop a virtual experiment in Blackboard Learning System with virtual reality. We use Virtools as our platform engine, 3D models and other scenes are designed with 3ds Max 2012, and then converted to *.VMO format to load on the web page. After a similar set of experiments, the result shows that the tool is feasible and practicable.
Contrasting Smalltalk and IPv6
Authors: Li Xiang Wen , Zhou Ling , Yuan Lian Hai
Published: May 2014

The development of public-private key pairs has evaluated congestion control, and current trends suggest that the refinement of B-trees will soon emerge. In our research, we validate the synthesis of public-private key pairs. Our focus in our research is not on whether DNS and Lamport clocks can synchronize to surmount this riddle, but rather on presenting new low-energy configurations (DOOR).
Research of Distributed P2P Network Streaming Media Technology
Authors: Zhang Jin Hai
Published: May 2014

With the popularity of the Internet, personal computer performance and network bandwidth continues to increase and the rapidly improving network streaming media applications have become more abundant. Due to the high bandwidth for streaming media have characteristics, traditional methods of C/S can easily cause server performance bottlenecks, introduce the idea of P2P live streaming media service, through normal computer exercise part of the server's functionality, decentralization of services, can effectively reduce the load on the server, as well as local high network bandwidth consumption. Therefore, P2P live streaming media distribution technology is potentially broad application prospects.