bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Credit Evaluation and Verification Model in Equipment Manufacture Industry
Authors: Zhao Li Feng , Zhou Sheng Han
Published: July 2014

The paper aims to develop the credit evaluation and verification model in equipment manufacture industry. The study defines the vague set of linguistic variable firstly. Then the calculation rules are defined with the vague set. The research uses the expert subjective judgment to build the initial evaluation model. And the relevant 128 data items are collected by survey. These items are used to make factor analysis to test the structure of the evaluation system and build the initial SEM. The result of SEM shows the possible modification. Finally, the empirical research is given to verify the developed approach.
The Improvement for the Structure of the Coil Transporters and its FEA
Authors: Wang Qi , Sun Yan , Li Zhe , Peng Xuan Qian , Han Bing
Published: July 2014

Coil transporters are widely used in rolling production line to transport coils among different positions. Aiming at the inaccurate parking space, low production efficiency, high requirement of working accuracy, inconveniency in repair and other problems during the working process, the running mechanism and lifting gear of the coil transporter have been improved, And the author analyze the structure of the improved body by FEA. The results of the analysis of car body show that strength and stiffness meet the requirements. The general property of the improved coil transporter has been, in a good condition, effectively bettered. It can meet the production requirement and enhance the economic benefits.
Design and Calculation of a New Type of Elastic Gear Coupling and Finite Element Analysis
Authors: Chen Feng , Li Zheng Feng , Liu Yuan Xiang
Published: July 2014

This paper introduces a new type of elastic gear coupling structure, and gives the calculating strength formula and related material of the parts, establishes the three-dimensional model, simulates the nonlinear elastic gear ring, gets the analysis of the distribution of strain and stress in the ANSYS software, verify the strength condition.
Based on PMAC Control 4-DOF Manipulator
Authors: Fan Jin Wei , Liu Yi Jia , Chen Ling , Liu Chao
Published: July 2014

To complete the step of pacing bolts more accurate and efficient in factory, This article design the 4-DOF manipulator Based on PMAC motion controller, including hardware architecture, software architecture. This control system combines the IPC strong management and real-time control of PMAC to achieve a 4-axis robot, smooth fast-precision, high efficiency, high reliability, cost-saving design goals.
Fuzzy Adaptive PID Controller Optimization Design in Temperature Control System
Authors: Li Xiao Peng , Chen Lan Zhen
Published: July 2014

A new self-adjusting PID controller based fuzzy inferences is proposed. Using fuzzy inferences method, the PID parameters can be adjusted adaptively online for the varying state of the system. This approach has more significant performance and robustness than conventional PID contorllers in any conditions. Traditional fuzzy control systems have difficulties for plants with great delay.A fuzzy PID system based on the Smith compensation theorem is proposed in the paper.It allows to change the transfer function of the plant.Simulation results are also given.
Research on Algorithm to Improve Performance of Multi-Wheel Steering Control System
Authors: Wan Shao Song , Cao Jian , Zhu Qun Song , Yan Cong
Published: July 2014

There are many factors that can affect network performance, such as delay, packet loss and capacity utilization. Vehicle handling directional stability has been more and more important, experiments for steering wheel corner step input response, steering oil tank response property, steady state turning and steering angle of all steering wheels were conducted in this paper, the experimental results show that multi-wheel steering system can fulfill its function very well and reach target angle, it provides a new method for researching for the vehicle handling directional stability.
Separating the Time Field Signal of Rotor Unbalance Vibration Based on EMD Method
Authors: Zhang Shi Hai , Guo Xiong Wen , Zhang Zi Miao
Published: July 2014

It is the premise conditions of dynamic balance monitoring and control technology that the unbalance vibration signal is separated accurately. Based on the theory analysis of EMD (Empirical Mode Decomposition), the time field method of unbalance vibration signal separation is proposed. The basic principle is that the reference signal and radial vibration of rotor must be simultaneously measured, and then the IMF(Intrinsic Mode Function) components are separated based on the EMD method. The time field signal of unbalance vibration can be identified by comparing the IMF’s frequency with rotational frequency. The method effectiveness has been proved by experimental data analysis.
The Design of the Single-Phase Inverter Based on DSP (TMS320F2812)
Authors: Zhou Zhao Xia , Huang Jia En
Published: July 2014

This paper designs a single-phase inverter.Battery as a 12V DC input, and output for the 24V,50 HZ standard AC wave. The load is resistive.The power supply adopts the Boost booster and two full-bridge inverter transform. For the control circuit, the preceding Boost converter using tl494 chip control closed-loop feedback and for the inverter part, adopting the 6N137 to finish the optical coupling isolation.Then,through the DSP (TMS320F2812) to complete the output of SPWM modulation.And the modulated SPWM signal can drive chip IR211 conducting the full bridge inverter. Finally, through a low-pass filter output the standard sine AC inverter power.
The Research of Numerical Control Transformation Based on Turbo PMAC
Authors: Sun Hong Chang , Li Li Na , Deng San Peng
Published: July 2014

A numerical control transformation (NCT) system for a conventional lathe machine is introduced in this paper. The NCT system is considered as the key equipment to the manufacture of the transmission shaft. According to the construction feature and technological requirements, both the hardware and software construction are analyzed, as well as the implementation method of the NCT system. By practical operation, the experiment test result is given at the end of the paper to support the usefulness and practicality of the NCT system.
Coupled FE-SPH Simulation of a High-Speed Grinding Process Using a Multiple-Grain Model
Authors: Shen Rui Dong , Wang Xiu Mei , Yang Chun Hui
Published: July 2014

A multiple-grain cutting model is developed to simulate the grinding process for rolled homogeneous armor steel (RHA) 4043 using a coupled three-dimensional (3-D) finite element (FE) - smoothed-particle hydrodynamics (SPH) approach in the research. The proposed numerical model is then employed to investigate interactions and interferences among the grains at high speed cutting. The numerical results show the cutting forces and pile-ups of chips are greatly influenced by these interactions and interferences during the cutting process.
Interesting Packaging Structure Design of Children’s Biscuits
Authors: Qi Yu Ming , Gao Wen Hua
Published: July 2014

Biscuit, as a common snack, in order to attract the children’s attention, besides its taste and shape, packaging design is equally important. The beautifully decorated surface of the box can be divided into a number of blocks (4 or 9) by setting the punch lines. After the biscuits are eaten up, tear the box along the punch lines, then it becomes a simple jigsaw puzzle. Inside the box except the biscuits bag, a cute clamp like scissors added. So the children can gripping biscuits by the clamp rather than by hand directly.
Theoretical Surface Roughness Model in High Speed Face Milling
Authors: Zhang Tao , Li Guo He , Han L.
Published: July 2014

High speed milling is a newly developed advanced manufacturing technology. Surface integrity is an important object of machined parts. Surface roughness is mostly used to evaluate to the surface integrity. A theoretical surface roughness model for high face milling was established. The influence of cutting parameters on the surface roughness is analyzed. The surface roughness decreases when the cutter radius increases, total number of tooth and rotation angular speed, while it increases with the feeding velocity. The high speed face milling can get a smooth surface and it can replace the grinding with higher efficiency.
A Simple Criterion for Robust Stabilization Design of Interval Time-Delay Systems
Authors: Lee Chien Hua , Liao Ping Sung
Published: July 2014

This paper addresses the robust stabilization problem of interval time-delay systems. By applying an upper bound to the Riccati equation approach, a stabilizability condition and a controller are proposed. It is easy to test the presented condition and to implement the controller.
The Design of Greenhouse Environment Monitoring System Based on ZigBee
Authors: Chen Guo Shao , Wang Zhong Sheng , Shang Xiao
Published: July 2014

The internet is widely used in daily life, of course, also be applied in agriculture. This paper is focus on the technology of ZigBee and serial communication. The ZigBee communication module transfers the data from greenhouse to the monitoring system. Growers can get the data timely, and according to the received data to control greenhouse environment. The monitor computer program is based on VB.NET. ZigBee module gets the data from sensor, through serial ports the information is transferred to the monitor computer. The monitoring software stores the data and displays it on the user interface. If the data beyond the threshold value, the system will give an alarm sounds.
The Design of Intelligent Home Furnishing System of Internet of Things
Authors: Wang Lei
Published: July 2014

Through the market investigation was designed based on the environmental monitoring system, intelligent control system and simulation system of security system, intelligent Home Furnishing system, this system uses CC2530 and sensors to build a ZigBee network, and realizes the remote monitoring through GPRS module, configuration of the PC software for the system, realized the function of intelligent furniture system through the actual test, that, the system is stable and reliable, practical.
Arrangement of Sensor Nodes for Wireless Sensor Network in Aquatic Products Breeding
Authors: Shi Bing , Xu Shou Kun , Jiang Jian Ming
Published: July 2014

In order to overcome the disadvantages of ccomplexity of monitoring systems, inconvenience of installation for equipment and wiring, high error rate of data transmission, the technology of wireless sensor network is adopted. Through analysis of pond water testing results on the space distribution of water environmental factors, and the number and location of the sensor nodes is determined based on the distribution law of key factors. Experiments show that the system has higher accuracy and stability.
Prediction and Analysis of Safety Production Accident in Mining Based on the GM(1,1)
Authors: Jiang Chen Fang , Hou Ke Peng , Sun Hua Fen
Published: July 2014

According to the grey theory, in order to predict and prevent accident effectively, the paper built a grey model and forecast the mine accidents in china in 2013 based on the statistics of mine accidents happened in China during period from 2007 to 2012. MATLAB was used to write procedure code of GM (1, 1) and empirical verification follows. The prediction results show that if high accuracy goes with the precision of the calculable model, which could be used to provide the basis for decision making to the safety production management practices in China. This case study indicates that GM (1, 1) plays an important role in mine safety management.
Research on Jet Current Field Characteristic under Waves by Numerical Modelling in Flowing Ambient Fluid
Authors: Li Ming Chang , Si Qi , Wang Ying
Published: July 2014

A variable density anisotropic turbulent buoyant jet model is applied for simulating the current field under waves. The numerical simulation results show the present model is efficient to describe the construction characteristic of current field. This model could be an efficient tool for sewage treatment by deep sea discharge.
Evaluation of Various Turbulence Models in Predicting Airflow and Turbulence around a Generic Vehicle Model
Authors: Wu Cheng , Wang Yi Ping , Yang Xue
Published: July 2014

For vehicle external aerodynamic computation, the selection of the turbulence model is very important. In current research, ten RANS turbulence models were introduced to compute the time-averaged flow field around the Ahmed model with 25° backlight angle. In order to evaluate the feasibility of the turbulence model, the results were compared with the related published experimental data. The results showed that the two equations RANS turbulence models were more favorable to compute the vehicle external flow field, but parts of the two equations turbulence model just could predict the aerodynamic drag coefficient or lift coefficient effectively. However, the results further revealed that the realizable k-ε could obtain the more accurate drag coefficient and lift coefficient simultaneously, and simulate the complex separation flow in the wake.
Ground Simulation Method for Envelope Performance of Airship in near Space
Authors: Liu Long Bin , Mi Pan Pan , Cao Shuai , Lv Ming Yun
Published: July 2014

Performing characteristics on envelope composite of near space airship (NSA) are quite different from that of the low altitude airship essentially. The NSA envelope material should meet excellent applicative characteristics including light weight, high strength, anti-aging, anti-ultraviolet radiation, gas-tightness, weather resistance. Ground simulation test is critical for the envelope design and development process of NSA, and the environmental features of near space is analyzed for NSA, then corresponding ground simulation test methods are proposed to involve mechanical strength of the ground test methods among the changing weather temperature and over pressure changes, materials weather resistance and air tightness test. Finally the coupling relationship between various mechanical test and environmental test methods is also investigated.
Kinetics of Inverse Emulsion Copolymerization of Dimethyl Diallyl Ammonium Chloride and Acrylamide
Authors: Wang Xiao Na , Zhang Ren Zhi , Jin Ni Sha
Published: July 2014

Inverse emulsion copolymerization of DMDAAC with AM has been investigated by the dilatometer technique using the mixture of Span-80 and Tween-80 as the composite emulsifier and 2,2’-azobis (2-methylpropionconidine) dihydro chloride as the initiator. In inverse emulsion copolymerization, the influences of the concentrations of monomers, emulsifier and initiator and initial temperature on polymerization rate and the intrinsic viscosity of polymer have been examined. Its kinetics can be expressed as,. The overall activation energy for the rate of polymerization was determined with a dilatometer as 20.33 kJ/mol over the temperature range 35-55°C.
Numerical Analysis of the Wind Tunnel Effect on the Chinese Kang in the Northern China
Authors: Lu Zhong Liang , Xu Ya Hui , Wang Hong Li , Xi Da Da
Published: July 2014

In the northern part of China, the heating system of the Chinesekangoccupies a significant proportion of usage, particularly during the winter. To achieve better heating effect, this article explored the wind tunnel (commonly known as the “dog hole”) of the Chinesekangin the Northern area. The paper conducted three experiments, established a two-dimensional mathematical model on the flow of high temperature gas in the chimney, utilized the FLUENT software to simulate the flow, and analyzed the inlet flow of the chimney flue and effect of wind tunnel on the heating system of Chinesekang. Wind tunnel was found to prevent natural reversed wind effectively and reduce the influence of outside wind.
Process Simulation and Parametric Analysis of Gas Fractionation Unit
Authors: Li Qing Rui , Li Ping , Zhang Peng
Published: July 2014

Considering the problem of the energy consumption in the gas fractionation unit, PROII process simulation software is used to calculate the gas fractionation unit and to analyze the effect of process parameters. On the premise of ensuring product quality, these parameters can reduce energy consumption, improve economic benefit.
Dual Station Based Bearings-Only Tracking Using Unscented Filter
Authors: Quan Hong Wei , Li Jun Hua , Chen Ming Shu
Published: July 2014

This paper investigated the bearings-only tracking approach based on dual station detection. In order to solve the problem of strong nonlinearity in bearings –only measurement system, we introduced the unscented filter which is based on the idea of unscented transformation. Compared with traditional extended Kalman filter, unscented filter has shown better convergence and stabiltiy, especially in stabiltiy of tracking waveform. Matlab simulation scenario is taken for illustrating the effectiveness and validity of the unscented filtering algorithm.
Image Retrieval Based on Color Histogram of Saliency Map
Authors: Wu Jun Feng , Lv Xian Qiang , Yang Wen Lian , Tao Ye , Zhang Jing , Yang Song
Published: July 2014

With the development of the internet, more and more images appear in the internet. How to effectively retrieve the desired image is still an important problem. In the past, traditional color histogram is used image retrieval system, but color histograms lack spatial information and are sensitive to intensity variation, color distortion and cropping. As a result, images with similar histograms may have totally different semantics. So the spatial information should be included in color histogram. The color histogram based on saliency map approach is introduced to overcome the above limitations. In this paper, we present a robust image retrieval based on color histogram of saliency map. Firstly, in order to extract useful spatial information of each pixel, the steady saliency map of the images is extracted. Then, color histogram based on saliency map is introduced, and the similarity between color images is computed by using the color histogram of saliency map. Experimental results show that the proposed color image retrieval is more accurate and efficient in retrieving the user-interested images.
Beamforming with Kerdock Codes in LTE System for High-Speed Railway
Authors: Yang Zhi Hua , Wang Lei Jun , Fang Ze Kai
Published: July 2014

Beamforming technique based the reciprocity of LTE communication system for high-speed railway is a practical way to improve the system performance in this paper. Kerdock codes, which facilitate efficient codebook and codeword search, are implemented in the LTE system for high-speed railway as the beamforming precoding codebook. The analysis of complexity and simulation results about the communication system of the beamforming with Kerdock codes (KBF) show that the proposed KBF can eliminate complex multiplications and improve the Bit Error Rate (BER) performance at large SNR compared with the existing beamfoming communication system for high-speed railway.
The Communication Capability of Shipboard Radio Based on Path Loss
Authors: Huang Xiao Gang , Zhu Ai Min , Yao Sen Jie
Published: July 2014

According to the communication demand between warship and ChongFeng Boat or between ChongFeng Boats, this paper researched the communication capability of shipboard radio boat when sailing and islanding. It analyzed the propagation characteristics of radio, the relation between path loss and distance/path loss and frequency, discussed the influence of path loss on the capability of radio based on simulation and made a conclusion.
Automatic Registration between High Resolution SAR Image and GIS Road Network Based on Pairwise Constraint and ICM Optimization
Authors: Sui Hai Gang , Hua Feng , Chen Guang , Xu Chuan
Published: July 2014

Synthetic aperture radar (SAR) technique has been widely applied in disaster monitoring and evaluation, because of its all-weather and all-time capability. In particular, the integration of high resolution SAR image and GIS data has been proved to be an effective solution to change detection for rapid disaster response. However, accurate registration of SAR image and GIS data remains a challenging task. On the one hand, SAR image and GIS data are two different representation levels of the real world. GIS data lacks of grey value and texture information, thus traditional use of grey-based and texture-based feature descriptors for feature matching in GIS data is impossible. On the other hand, the extraction of matching primitives is difficult in the SAR image due to the speckle noise. Moreover, though features can be extracted in the SAR image, the matching can be difficult since features may be fractured and missing. In this paper, we propose a new method for vector-to-SAR image registration which utilizes conjugate line-pair intersections as matching primitives. The core idea consists in two aspects: 1) Different from traditional road intersection based registration methods, conjugate line-pair intersections are employed as matching primitive in the proposed method. 2) To find out the optimal set of matching features, a matching technique that using pairwise constraint and the iterative conditional mode (ICM) optimization algorithm is introduced. Experiment results proved the reliability and feasibility of the proposed method.
Influence of Volume Fraction of Piezoelectric Ceramics on Poperties of PZT672/Epoxy1-3 Piezocomposite
Authors: Zhang Bin , Wang Li Kun , Qin Lei , Zhong Chao , Long Dan , Liu Jing Jing
Published: July 2014

PZT672/epoxy 1-3 piezoelectric composites were fabricated by the cut-filling method. The parameters of PZT672/epoxy 1-3 piezoelectric composites varying with different PZT volume fractions have been measured and compared with theoretical values. The results show a good match between theoretical values and measurements. The authors conclude the regular of the properties of composites varying with PZT volume fraction.
Semi-Automatic Extraction Method for Low Contrast Road Based on Gabor Filter and Simulated Annealing
Authors: Chen Guang , Sui Hai Gang , Dong Liang , Sun Hua
Published: July 2014

High-resolution satellite remote sensing image are mostly used for accurate updating of GIS data. As the primary GIS data, urban roads on the image show the rich geometric features and radiation characteristics, that edge detection and grouping becoming an important way to solve the road extraction. However, edge elements obtained from images are always discontinuous for interference of noise and weak contrast between road and background. What more, vehicles, plant, buildings and shadow blocking results in weak grouping relation of elements. In processing, insignificant candidate road may be weeded out as noise and lead to failure road extraction. This paper presents a semi-automated extraction method for low contrast road basing on statistical grouping of orientation texture feature. Multi-direction and multi-scale Gabor filters are employed to detect directions of road texture. Then same direction pixels are grouped under constraining of rectangle template and generate road base elements. Finally, simulated annealing algorithm is used to optimize elements connection. Experiment results show that proposed method was effective in accurate extraction of low contrast road.
An Improved Image Stitching Algorithm
Authors: Li Dan
Published: July 2014

Proposed a new stitching algorithm to suit for coal mine. Cross-power spectrum phase information is used to coarse matching fast and overlapping regions can be found. Invariant features are extracted by using the dimensional reduced SIFT algorithm-sample principal component analysis. RANSAC combined with iterative L-M nonlinear optimization algorithm can improve projection matrix. New algorithm can improve the matching efficiency, and it’s suit for coal mine environment.
Research on Fabric Image Acquisition Based on Compressed Sensing
Authors: Dong Ji Cheng , Guan Sheng Qi , Chen Long Long
Published: July 2014

Amount of data in collecting data of fabric image in the textile industry put forward a new challenge to sensor end. Compressed Sensing (CS) breaks limit of conventional Shannon’s sampling theorem, so we can reconstruct a signal in Sub-sampling rate. In addition, theoretical analysis tells us that collecting the fabric image data by CS method have a better advantage than collecting the general image data. Having reconstructed three fabric images and one general image by CS method, we can easily find that the former have a high quality of reconstruction.
Adaptive Equalization with Variable Step Size Algorithm Based on Gradient for HF Channel
Authors: Han Fang Fang , Lin Zi Hao
Published: July 2014

To further improve the performance of adaptive equalization in HF channel, a new variable step size algorithm is proposed based on the iterative gradient. The step size is set to a vector according to the weights of the equalizer, and it can vary with the iterative gradient during the equalization process. The algorithm overcomes the traditional variable step size with the constant scale for all the weights of the equalizer, thus it can obtain faster convergence rate and lower steady state error in HF channel. In the complex channel condition, the algorithm proposed in this paper can avoid the local minimum point of the objective function to obtain the global convergence performance. Simulation result shows the effectiveness in the Watterson channel model.
An Infrared and Visible Images Fusion Algorithm Based on Wavelet Multi-Resolution Decomposition
Authors: Liu Li Kun , Wu Zong Jia
Published: July 2014

Image fusion can be effectively utilized to obtain image redundant information from sensors, hereby improving the accuracy and reliability of information. Based on multi-resolution decomposition of the traditional image fusion method is vulnerable to high frequency noise, fusion is often ineffective. An improved image fusion algorithm has been studied based on the wavelet multi-resolution decomposition. The principle of the algorithm is regional energy maximum for low frequency decomposition image, and the bivariate statistical model for high frequency part. Experimental results show that the bivariate statistical model for the high frequency band is robust to noise based on the joint probability of wavelet coefficient in the conditions of Daubechies wavelet basis function with decomposing level 5 multi-resolution decomposition. Simultaneously, the regional energy maximum for low frequency band can be effective on the high frequency band based on the bivariate statistical model. Fusion image have a larger contrast, the preferred details and the higher gray level resolution.
A MMSE Channel Estimation Method in QC-LDPC Coded OFDM Systems
Authors: Sangirov Gulomjon , Fu Yong Qing , Fang Ye
Published: July 2014

An orthogonal frequency division multiplexing (OFDM) is one of the effective techniques used in wireless communications. In OFDM systems, channel impairments due to multipath dispersive wireless channels can cause deep fades in wireless channels. The OFDM receiver also requires an accurate and computationally efficient channel state information when coherent detection is involved. Therefore, it needs a good robust estimation method of the channel in wireless communication for OFDM systems. And one of these channel estimation methods is minimum mean square error (MMSE) channel estimation. MMSE channel estimation one most used method in OFDM systems. In this work we enhanced robustness of MMSE channel estimation by using it in base of quasi-cyclic low density parity check (QC-LDPC) coded OFDM system.
Design and Simulation of Wireless Communication System Channel in Coal Mine Based on OFDM Technology
Authors: Ma Rong Hua
Published: July 2014

The OFDM technology is applied in the mobile communication system of underground coal mine, the wireless communication system channel of underground coal mine is researched. The underground channel model is established, and the simulation is taken for testing the performance of system. The simulation results show that the OFDM technology can be applied in the mobile communication system in underground coal mine, and the transmission rate of the system and the ability of anti-interference are improved.
3-D Reconstruction of Image Sequence Based on Independent Three-View
Authors: Li Cong , Zhao Hong Rui , Fu Gang
Published: July 2014

In order to realize efficient and stable 3-D reconstruction of image sequence, a novel 3-D reconstruction method is proposed based on independent three-view in this paper. Firstly, three-view is used as reconstruction unit. Consequently, robust fundamental matrix is calculated under the constraint of three-view. Then 3-D point cloud of 3-D scene corresponding to this three-view is rebuilt by triangulation. Because three-view point cloud is rigid body and local stable, 3-D point clouds of whole image sequence are unified to the same space coordinate system via calculating and using transformation parameters between adjacent three-view. Finally 3-D point cloud reconstruction of whole image sequence is achieved. As shown in experiment, method presented in this paper is simple, efficient and reliable.
Track and Field Image Segmentation Technology of Automatic Multi-Threshold Block Sampling Based on Matlab
Authors: Yu A Li
Published: July 2014

Based on block sampling and genetic algorithm we improve the image segmentation technology, and obtain the new image processing method based on image pixel block cross reconstruction, and apply this algorithm to the block and the reconstruction calculation of track and field image. In order to verify the effectiveness and reliability of block sampling and genetic algorithm, we use MATLAB to test the algorithm. Through calculation, the number of 2D block is 20, the minimum number of 3D pixel array is 1259, and the calculation residual reaches the highest, with 0.0122. When the number of 2D block is 40, the maximum number of 3D pixel array is 3875, and the calculation residual reaches the lowest, with 0.0013. Therefore, according to the needs of computer hardware conditions, we can increase the 2D block number, improve the segmentation number of 3D pixel array for track and field image, which can reduce the residual and improve the precision of calculation.
Locating Method of DPM 2D Barcode Image
Authors: Zheng He Rong , Shan Bing , Liu Zhi
Published: July 2014

This paper studies the positioning method of DPM 2D barcode image. Because of the reflective problems of metal surface, the barcode image gotten will have uneven illumination, high light issues. In this paper, the homomorphic filtering method is used to enhance the image. Then the gradient projection is used to positioning the barcode region preliminary. We use an adaptive threshold method composed of Otsu method and neighborhood threshold method to solve the error segmentation problem. Finally the convex hull algorithm is applied to locate barcode region. Experiment results show that this method can effectively locate the barcode region quickly.
Video Sequences Foreground Enhancement Using Hidden Markov Model
Authors: Lv Dong Yue , Liu Dong Yan , Huang Zhi Pei , Yu Neng Hai , Wu Jian Kang
Published: July 2014

Foreground detection is an important part in video surveillance system. The detection results will significantly affect the performance of tracking, abnormal behavior analysis and other following procedures. Many algorithms have been proposed to improve the detection performance. However, these algorithms simply focus on one single frame, ignoring the relationship among the detection results of one target in successive frames. This paper presents a novel foreground enhancement algorithm using Hidden Markov Model (HMM). In a video sequence, one target in successive frames usually has similar shape, size, et al. With this property, the target can be modeled by HMM and enhanced using the result of its prior frame. The observation of HMM is obtained by ViBe. The enhancement result is then estimated by using Maximum A Posteriori (MAP). Experimental results show that compared with the state-of-art algorithm, the proposed method can enhance foreground detection effectively.
The Study of a Fast Sub-Pixel Registration Method for Remote Sensing Image
Authors: Zhou Cui , Zhou Jing Hong , Fan Dong Hao
Published: July 2014

We put forward a fast and efficiently sub-pixel registration method for solving the classical methods’ problems of low efficiency, and use efficiently sub-images instead of original image to sub-pixel registration based on the Fourier transform phase correlation and matrix Fourier transform method. Effective sub-images are selected from the total size of the high-frequency energy after two-dimensional wavelet decomposition, then we use the phase correlation to calculate the pixel displacement and matrix Fourier transform to calculate the sub-pixel displacement. Not only the improved method is inherited the advantage of matrix Fourier transform sub-pixel registration, but also the registration speed is greatly improved. This is more applicable to massive remote sensing data. Through simulation and engineering practice, composited registration accuracy and speed, proved that the improved method is more efficient compared with the classical methods, and it’s more suitable for real remote sensing image registration.
The Study of Combination Filtering for Removing Mixed Noise of Remote Sensing Image
Authors: Zhou Cui , Zhou Jing Hong , Fan Dong Hao
Published: July 2014

The traditional combination filter method in the practical process is often two layers of composite filtering de-noising for the image containing the gaussian mixture noise and pulse noise. This paper proposes a three filter combination algorithm based on the two layers filters, To the Gaussian and pulse mixed noise of the remote sensing image, we use wavelet threshold de-nosing and adaptive median filter de-nosing, and then using the third layer adaptive Wiener filtering de-noising to remove the residual noise. Through theoretical analysis and practical application, the de-nosing results of this method is obvious in processing mixed noise of remote sensing image, this is a practical method of combination filtering de-noising, it can be widely used in the field of image processing.
Digital Image Technology Mineral Feature Extraction Method Research
Authors: Peng Jian , Li Dong Bo
Published: July 2014

This paper presents a texture classification algorithm using Gabor wavelet and Gray Level Co-occurrence Matrix as feature extraction method and Support Vector Machine as classifier. Gabor transform and Gray Level Co-occurrence Matrix are used to get the features of the digital images, SVM classifiers are followed to build image and realize classification. The results of the experiments have shown that the methods described in this paper can improve the rate of correct classification effectively than traditional method of classification.
Image Compression Technology Reseach Based on Lifting Wavelet Transform
Authors: Guo Rui , Li Yu Feng , Liu Fei
Published: July 2014

Because the operational speed of the traditional image compression based on Mallat algorithm is slow, and auxiliary Storage space is occupied, image compressed method based on lifting wavelet transform is proposed, in order to realize its versatility, flexibility and high efficient. Experiments show that the lifting wavelet transform, is easy to realize integer wavelet transform can be used for lossless compression, and has higher compression ratio.
An Adaptive Filtering Method for Chirp Signal Based on FRFT
Authors: Wu Yan Jun , Fu Gang , Cheng Gang
Published: July 2014

In this paper, an adaptive filter method for Chirp signal in additional white Gaussian noise (AWGN) is studied. First, we analyze conception and character of FRFT (Fractional Fourier Transform), and the results shows that Chirp signal has energy concentration character in FRFT domain. Then, an adaptive filtering method is introduced in FRFT domain, and a test is done for separating Chirp signal from AWGN by the filtering method. Last, performance of this filtering method is studied, and the SNR improvement expression is concluded to verifying its advantages, it depends on the performance of adaptive filter basically. At last, the results show that this filtering algorithm is simple in computation and easy in implementation.
Recognition of Paper Currency Research Based on AGA-BP Neural Network
Authors: Xiao Xue , Wu Qing Hong , Zhang Ying
Published: July 2014

The genetic algorithm is a randomized search method for a class of reference biological evolution of the law evolved, with global implicit parallelism inherent and better optimization. This paper presents an adaptive genetic algorithm to optimize the use of BP neural network method, namely the structure of weights and thresholds to optimize BP neural network to achieve the recognition of banknotes oriented. Experimental results show that after using genetic algorithms to optimize BP neural network controller can accurately and quickly achieved recognition effect on banknote recognition accuracy compared to traditional BP neural network has been greatly improved, improved network adaptive capacity and generalization ability.
Wavelet De-Noising Algorithm Based on OpenCV for Images Edge Detection
Authors: Ma Yi Fan , Liu Shu Gui
Published: July 2014

Image edge detection is easily affected by noise. Wavelet algorithm can divide the image into low frequency and high frequency. By the processing of high frequency signal and the reconstruction of wavelet coefficients, the purpose of removing noise can be achieved. In the environment of VC++6.0, an image de-noising algorithm based on the wavelet combined with the Canny edge detection is proposed, which obtains a good result. The above algorithms are implemented based on OpenCV, which is more efficient, providing the conditions for subsequent image analysis and recognition. Experiments are carried out and the results show that the proposed algorithm is available and has a good performance.
A New Method of Multi-Component Chirp Signal Array Detection
Authors: Fu Gang , Wu Yan Jun , Tao Hua Tang
Published: July 2014

This paper presents a multi-component chirp signal detection with new methods of parameter estimation. The method using spatial characteristics of the antenna array. By array average fractional Fourier domain weighting function is introduced to reduce noise and suppress mutual interference between the signals from different sources. And compared to a single array element method. The proposed method greatly improves the multi-component chirp signal detection and parameter estimation performance. Simulation results show the effectiveness of the method.
Interference Suppression of VLF Communications in Atmospheric Noise
Authors: Wu Yan Jun , Fu Gang , Geng Wen Jian
Published: July 2014

This paper focuses on the weak signal reception and atmospheric noise suppression in VLF Chirp spread spectrum communication system. Due to interference of atmospheric noise generated by lightning phenomena, it makes the chirp signal detection under low SNR condition becoming more difficult. Therefore, we select alpha stable distribution noise model to generate noise to simulate the real atmospheric noise. Then, we introduced a new technique of Chirp Spread Spectrum (CSS) communication based on Fractional Fourier Transform (FRFT). Finally, we study a nonlinear processing interference suppression method of clipping in time domain. Simulation results verified its feasibility.
Color Image Segmentation Based on Secondary Watershed and GrowCut Algorithm
Authors: Chen Jian Mei , Lu Hai Ying
Published: July 2014

GrowCut algorithm is not only an interactive algorithm on the basis of cell automata, but also a multi-label algorithm based on seeds point. Aiming at the GrowCut algorithm usually asks users to partition foreground and background manually and mark a lot more initial seeds. This paper presents an automatic object segmentation method which combining secondary watershed and GrowCut algorithm, here in the following paper refers it to as SWGC algorithm. It firstly using the twice used watershed algorithm to partition the input image, the segmented regions are labeled using Mahalanobis distance, and merged according to the image color and space information, thereafter applying the GrowCut algorithm to perform globally optimized segmentation. The main contribution focuses on performing automatic segmentation which consist of obtain the foreground and background region and generate the seed template of GrowCut algorithm automatically. Thus not only leave out the constraints of user interaction operation, but also avoid the subjectivity and uncertainty. The proposed method reduces the runtime significantly as well as improves the segmentation accuracy and robustness of GrowCut algorithm. Experimental results show SWGC algorithm has superior performance compared to the other related methods.
Electronic Satellite Scheduling Problem and its Heuristic Method
Authors: Li Jiang Cheng , Xing Li Ning , Chen Ying Wu , Wei Xiang Yu
Published: July 2014

The problem of scheduling for electronic satellites is a serious problem involving a lot of complex constraints. Considering the specific constraints of electromagnetic detection electronic satellite, on the basis of rational hypothesis, a multi-objective mathematic model was established. Several basic scheduling strategies were proposed. Based on the roulette method and hierarchical optimization method, a heuristic algorithm based on the rules was designed. A comprehensive evaluation with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for the algorithm was offered. Finally, some experiments are conducted to verify the correctness and practicability of our scheduling model and algorithm.
Recent Improvements in Image Retrieval
Authors: Zeng Yan Sheng , Ying Xu Lin
Published: July 2014

The target of this paper is to introduce the improvement of the technique of image retrieval. At first, it comes up with the concept of image retrieval and shows the importance of this technique. As the techniques of multimedia and Internet are developing rapidly, the resources of images that users obtain are also extended. And then this paper gives the problem about the image retrieval, namely the information of images are disordering. As the result, it is significant to do the effective organization, management and retrieval based on the increasingly extensive image information storage. After that, this paper presents the concept of TBIR and CBIR and gives the definitions of them. It proposes an issue that CBIR is the improvement of TBIR. Based on CBIR, there are also some disadvantages that need to be improved. In terms of the main point of CBIR, the paper raises that the annotation is one of the most difficult techniques that need to be promoted. Then it describes some algorithms about the technique of automatic image annotation. After these algorithms, the paper shows the challenges and developing direction of the technique of image retrieval. At last, it presented the conclusion to emphasize the main points of this paper.
Mineral Belt Image Segmentation Using Firefly Algorithm
Authors: He Li Fang , Tong Xiong , Huang Song Wei
Published: July 2014

Otsu is one of better image segmentation algorithm, which obtains optimum threshold by maximizing the between-class variance of an image. However, computation time will sharply increase as the threshold increase. In order to greatly improve the problem, a new segmentation algorithm called firefly algorithm based on Otsu’s method is presented in this paper, and applied the algorithm to segmentation of mineral belt image of shaking table, which lay the foundation for automation of shaking table. Experimental results show that the new algorithm can accurately segment different mineral belts and can obtain the same optimal thresholds and fitness values with Otsu’s method.
A Study and Design of Compressed Encoder Based on Neural Network for Remote Sensing Image
Authors: Tao Ling , Li Wen Long , Yu Yan Yan , Kang Jian , Yang Jun
Published: July 2014

The characteristics of remote sensing image are big data volume and high resolution. It is difficult to meet actual demands by using traditional techniques for transmission and storage. This paper studies and designs remote sensing image compression encoder with FPGA technology and three-layer feedforward BP neural network. The neural network can parallelly process large amounts of data, and has a structural characteristic of self-learning and self-organizing. The encoder has a simple structure, safety, fast speed, good reconfiguration. It overcomes shortcomings of conventional compression techniques which compress high-resolution images ineffectively. The study has some theoretical values in the field of image compression.
A New Method of Image Matching in a Vision-Based Mobile Robot System
Authors: Cao Cheng Zhi , Gao Wen Zheng , Li Hui Jun
Published: July 2014

In a vision-based system for mobile robot/human localization in the environment, extracting feature from images and image matching are important for the final results. Although there are many algorithms for image matching, they are not fit for this system. A new method is designed to improve image matching effect.
Research and Solution on Bottleneck Problem in Zigbee
Authors: Zhang Jian Ping , Zeng Xiao Ling
Published: July 2014

When the root is collecting data at a tree-based network, more upper nodes is usually with more packets usually. We called this bottleneck problem. The goal of this paper is to solve the bottleneck problem in ZigBee tree network. We use The Beacon-Only Period Approach which has been proposed by IEEE802.15.4b to avoid the collision caused by beacon frame. Moreover, we propose a centralized algorithm (TDMLF) that enables the nodes to fully use the GTS transmission. TDMLF not only avoides the hidden node problem which occurs in IEEE802.15.4, but also enables the entire network to achieve a more effective parallel transmission. Simulation results show that the TDMLF algorithm effectively reduces the bottleneck problem, and thus achieves a high delivery ratio. Moreover, because of no collision, the TDMLF also reduces the waste of time and energy by retransmission.
Blind Detection of Copy-Move Forgery in Digital Images Based on Dyadic Wavelet Transform
Authors: Zhang Rui Fang , Ye Han Min , Song Zi Hang , Wang Min
Published: July 2014

This paper proposed a detection algorithm for copy-move in same image based on dyadic wavelet transform. First of all, four sub images could be got through the decomposition of detecting image by dyadic wavelet transform. Secondly, high-frequency and low-frequency sub image were decomposed into blocks without any overlap and two sub image’s dyadic wavelet coefficients were regarded as the eigenvalue of the image block. At Last, both the high similarity among the low-frequency sub image blocks and the low similarity among the high-frequency sub image blocks were selected as a distorted image block. A kind of image edge processing methods was used to improve the tampering region at the same time. Through the experiments, it shows that the algorithm got the higher detection rate and lower error rates.
NSCT-Based Image Enhancement Combing Homomorphic Filtering with Fuzzy Theory
Authors: Wen Kai , Sun Bin , Yang Jing
Published: July 2014

Proposed is an algorithm of NSCT-Based Image Enhancement Combing Homomorphic Filtering With Fuzzy theory to improve the performance of traditional algorithms in the expression of the image edge detail and contrast. With the NSCT, both the low and high frequency sub-band components can be extracted. We dispose of the low frequency sub-band components of the decomposed image by homomorphic filtering and enhance the high-frequency sub-band components with fuzzy sets theory. Then the reconstructed image after above enhancement is obtained by using NSCT inverse transform.