bluuebunny/crossref_metadata_2025 huggingface dataset:
The Use of Computer Image Processing Technology in the Area of Graphic Design
Authors: Zhang Shao Jie
Published: December 2014

The disquisition introduces the conception, features, elements and classification about the Visual Communication Design and analyses the key elements: words, graphics, color and space. And the disquisition describes the computer image processing theory of Visual Communication Design and analyses the four factors, three processes in visual computer image processing from the view point of computer image processing and Visual Communication Design's traits.
Oil Leak Image Data Analysis Based on Maximum Variance Threshold Method
Authors: Zhang Xi , Zhang Lei , Zhang Yu Feng
Published: December 2014

The oil leak is detected by the computer image recognition technique and the oil leak images are processed by the threshold segmentation and semi-thresholding of the maximum variance threshold method. Through capture of fluorescent images of leakage, the oil leak image information is acquired. The maximum variance threshold method is adopted for image data analysis to compute the dilation area of oil images and achieve the detection of leakage.
Research on Communication Protocol Agreement Based on Ad Hoc Network
Authors: Chen Xin
Published: December 2014

Routing technology is the key technology of Ad Hoc network and is one of the most important factors influencing overall performance of network. Routing protocol has not adapted to topological structure of dynamic change for Ad Hoc network, so the new Ad Hoc routing protocol must be designed. The paper starts from the basic concept of Ad Hoc network and proposes an effective key protocol agreement in Ad Hoc network based on bilinear pairing and hierarchical routing protocol which not only makes logical key agreement model correspond to topological structure of actual network , but also supports the establishment and dynamic update of initial group of key and has less communication traffic. The performance analysis indicates that the protocol proposed in the paper is very effective on the network with larger range, stronger ability of equipment process and worse communication environment.
Research on Modeling and Optimization Control of Heavy Truck Cab Active Suspension System
Authors: Yan Guang Hui , Zhang Shuo
Published: December 2014

In order to meet the ride comfort of the heavy truck cab, the 1/2 heavy truck cab active suspension model established. Based on this model the LQG optimization control was selected for the active control of a 1/2 heavy truck cab suspension system. The road disturbance is integral white noise stochastic signal. By the example simulation in Matlab/Simulink, the results show that the cab active suspension with LQG control strategy can decrease the vertical accelerations, the roll angle and roll angle acceleration of the truck cab, the active suspension can improve both the ride comfort and driving safety.
The Restoration of Motion Blurred Images Based on the Background Modeling
Authors: Chen Jiang Yang , Luo Xi Ling
Published: December 2014

For the mutual effects of camera shake and subject movement, the image generation space varying motion blur. In order to achieve image restoration, firstly dividing the image area using the Gaussian background modeling, and updated model adaptive to improve the speed and convergence accuracy. Then use the total variation (TV) of the L1 model to estimate the regional point spread function (PSF), and adopted the edge density weight to reduce small edge’s interference for the PSF estimates. Eventually to restored image by Wiener filter. Through experimental analysis, compared with other algorithms, our algorithms get better results in the space varies motion-blurred image.
Application of Parallel Computing in Feature Point Extraction Processing of Remote Sensing Images
Authors: Xiao Xian Chen , Chen Yu Min , Yang Jin Fang
Published: December 2014

This study attempts to introduce parallel computing into processing of remote sensing images and discuss its influence on the processing results. We select an processing of remote sensing images called feature point extraction to run in parallel computing environment and calculate the time consumption and root-mean-square error, then give an analysis based on the result.
Research on Fingerprint Image Segmentation under Complex Background
Authors: Wang Hong Xia , Liu Ning
Published: December 2014

Fingerprints are widely used in biometric techniques for automatic personal identification. In this paper, a fingerprint segmentation method is proposed to overcome the bad impact imposed by the complex background of the fingerprint image. The proposed approach is based on combining global and local processing to achieve segmentation of fingerprint images. The approach is implemented in three stages: preprocessing, segmentation, and post-processing. The effectiveness of the proposed method can be confirmed through the experimental results.
Research on Information Channel Distributed Mechanism in Cognitive Wireless Mesh Network
Authors: Liu Feng
Published: December 2014

This thesis focuses on some key technologies in WMN, including the QoS routing based on the mufti-rate, the cross-layer channel allocation based on the mufti-rate, the cross-layer channel allocation based on the cognitive technique and the Mesh access point selection based on the study. Along the achievements in main line of joint design cooperation, in which carries out in-depth ideas, there form a number of innovative the related technologies.
Research on Image Compressed Technology Based on Compressed Sensing
Authors: Huang Tong , Shao Si Fei
Published: December 2014

Compressed sensing theory is a new signal processing theory in recent years, which is the birth of the signal processing field. Compared to the traditional Nyquist sampling rate, with little sample data quantity, compressed sensing theory saves subsequent processing time and storage space, making it a broad application prospect in the signal processing field. This paper first discuss the three key problems of the application of the compressed perception theory: signal sparse representation, machine measurement matrix design and signal reconstruction algorithm, preliminarily study the application of the compression perception theory in image compression technology, and giving the reconstructed image under different compression rate and PSNR. Computer simulation results show the feasibility of theory.
Study on Plant Pest Images Identification Based on Lifting Wavelet Transform
Authors: Li Chang Cheng , Yin Lai Wu , Chen Dong
Published: December 2014

Aiming at the weak noise signals the existence of plant diseases and insect pest images, pathological activity regulation of identification of the plant, so that between the signal molecules exist in plants can regulate mutually, collaborative work. Therefore, identification of weak signal molecules in plants is significant to the study of plant life activities. Taking corn pest images as the research object, using the identification method of lifting wavelet transform, combined with image identification technology, calculated the original plant diseases and insect pest images by not detect the break point of signal. Simulation results show that, the analysis of lifting wavelet of plant disease image identification technology reliability is about 71.65%; the accuracy of edge detection is about 76.21%. The operation speed of this algorithm is fast, easy for hardware implementation, provides an effective method for plant disease images identification.
Noisy Image Segmentation Based on Artificial Bee Colony Algorithm
Authors: Xiao Yong Hao , He Zhuo Bin , Hu Yao , Yu Wei Yu
Published: December 2014

Segmentation of noisy images is one of the most challenging problems in image analysis. It hasn’t yet been solved very well. In this paper, we propose a new method for image segmentation, which is able to segment two kinds of noisy images. The experimental results prove that Artificial Bee Colony Algorithm performs better for two types of noisy images.
An Image Fusion Algorithm Based on Redundant Wavelet Transform
Authors: Shen Min Fen , Su Zhi Fei , Yang Jin Yao , Sun Li Sha
Published: December 2014

Because of the limit of the optical lens’s depth, the objects of different distance usually cannot be at the same focus in the same picture, but multi-focus image fusion can obtain fusion image with all goals clear, improving the utilization rate of the image information ,which is helpful to further computer processing. According to the imaging characteristics of multi-focus image, a multi-focus image fusion algorithm based on redundant wavelet transform is proposed in this paper. For different frequency domain of redundant wavelet decomposition, the selection principle of high-frequency coefficients and low-frequency coefficients is respectively discussed .The fusion rule is that,the selection of low frequency coefficient is based on the local area energy, and the high frequency coefficient is based on local variance combining with matching threshold. As can be seen from the simulation results, the method given in the paper is a good way to retain more useful information from the source image , getting a fusion image with all goals clear.
Influence of Precipitation Environment in Multi-Band 3-D Complex Objects SAR Imaging
Authors: Chen Jia Qi , Xu Kan , Li Ling Qi , Lin Jia Nan , Wu Shuang
Published: December 2014

Synthetic Aperture Radar (SAR) is generally considered as an all-time and all-weather system. However, weather conditions will sometimes still affect the SAR imaging, especially when rain rate or operating frequencies are increased. In this paper, the influence of rainfall attenuation in multi-band 3-D complex target SAR imaging is investigated. As SAR echo can be considered as scattering from the target illuminated by incident wave, physical optics (PO) method is used to compute the scattered data because of its good balance between efficiency and accuracy in high frequency band. Numerical results demonstrate the rain attenuation impact on SAR image, when the relationship between rain rate and precipitation attenuation in multi-frequency band are quantitative analyzed.
Study on Disturbance Compensation for Ship-Borne Servo Control System
Authors: Zhu Dong Xu , Xie Hui Jun , Wang Xin Rong
Published: December 2014

Aimed at rejecting the disturbance for Ship-borne Servo Control System, using the ADRC method to improve the disturbance rejection ability of system. And the model is validated by PID, the simulation results show that the anti-interference ability could be improved by of ADRC method, and the controller has engineering function and prospect.
Frog and Haze Image Enhancement Using Improved Histogram Equalization Method in HIS Color Space
Authors: Han Dian Yuan
Published: December 2014

This paper concerns the problem of frog and haze image enhancement. Images are often degreed due to the fog and haze condition. In this paper, an image enhancement method by using improved histogram equalization in HIS color space was put forward. Firstly, the image was transformed from RGB to HIS color space. Then the S and I components were treated with improved histogram equalization separately. When judging whether a gray level was to be merged with another, the weight coefficients with increased step were assigned to these low frequency gray levels according to their distance to the current gray level. Thus the excessive gray level merging was avoided. At the same time, a non-linear gray level mapping algorithm was proposed, which improved the contrast and brightness of the image. The experimental results show that our methods could keep the original colors and details of the image better, and they could improve the frog and haze image display effects significantly.
Nodes' Adjacency Relation of Video Sensor Network Based on GIS and GPS
Authors: Tang Guo Liang , Liu Zhi Jing , Xiong Jing
Published: December 2014

As far as the large-scale video surveillance sensor network in urban road and highway, the relay-surveillance on abnormal behavior or particular targets is one of the hot focuses of in recent researches, while the establishment of adjacency relationship of the neighbor sensor nodes is the basis of the sensor scheduling for the relay-surveillance. The topology of a road network is generated according to the road information, which has already existed in the geographic information systems (GIS) regarding the road intersections as nodes and the section between the two intersections as the edge. The initial topology of relay-adjacency relationship between sensors is built by that each video sensor is deployed at the each intersection and the section of the each two intersections is regarded as the basis of adjacency between the each two sensors. When a new video sensor is to be deployed in a section of a road, the related deployed sensors in same section are searched by using the spatial index of GIS based on its GPS information, and then the adjacency relationship between the new sensor and the related ones is generated by using the sorting algorithm according to their GPS information. By using the road network information that has already existed in the GIS system, the algorithm on establishing the relay-adjacency relationship of video sensors is simple and simpler to implement, and it can be used in the construction of sensor relay-surveillance topology such as automatic real-time tracking on abnormal behavior or the analysis of the escape routes and so on in city roads, highway, smarter cities and smarter planet.
Application of Fuzzy Recognition Model for the Diversion Structures Safety Evaluation at Small Hydropower Stations
Authors: Li Ming , Yu Xue Feng , Wei Yuan Dong
Published: December 2014

In this passage is about the safety evaluation on the conveyance structure of small hydroelectric power station. Applying Binary comparative indicators to determine the weights and fuzzy recognition model on the conveyance structure of small hydroelectric power station’s assessment. Compared other models with fuzzy recognition model which will be explained in detail in the next section on a specific small hydropower station. The results show that the fuzzy recognition model is feasible and effective on safety evaluation on the conveyance structure of the hydroelectric power station.
Face Gender Recognition Research Based on Local Features and Support Vector Machine
Authors: Zhang Lin
Published: December 2014

In this paper, we proposed a face gender recognition method based on local features and SVM. First, we divide the face image into five parts which are used to instead of the whole face for better recognition performance. Second, we use CS to extract local features of these five parts. Then, we respectively train five single SVM classifiers to achieve one to one feature recognition for local features. Finally, decision information fusion is used to achieve the final classification. Because SVM were successfully used to solve numerous pattern recognition problems and is mainly used to solve two-classification problem, selecting SVM to do gender recognition in our method has the obvious superiority. After a lot of experiments, results show that the proposed method in this paper is stable and effective, greatly improving the efficiency of face gender recognition.
Design of Ship-Borne Antenna Servo Control System Based on ADRC
Authors: Zhu Dong Xu , Sun Lin Fei , Wang Xin Rong
Published: December 2014

Based on structure analysis of a certain ship-borne servo control system, the target velocity is contributed to exterior unknown disturbance and the system parameter change is looked as interior unknown disturbance. The extend state observer is used to estimate the disturbance accurately with the input and output information of system response, then the controller can compensate the disturbance furthest. The simulation results show that the ADRC method has good robust performance, compared with the traditional PID controller. Without using the sensor to measure the target state, it can satisfy the system requirements with a simple structure, it shows the controller has good aspect to have good engineering function and prospect.
Image Processing and Analysis System for Corneal Endothelial Cell Based on LabVIEW and MATLAB
Authors: Yu Cheng Bo , Ke Yan Hong , Xiao Dan , Yuan Yang Yu , Yang Yi Ju
Published: December 2014

To process corneal endothelial cell image quickly and efficiently, observe the corneal endothelial cell form and relevant calculation and analysis. This system adopts mixed programming of LabVIEW and MATLAB, to have image processing and analysis of the corneal endothelial cell. Use LabVIEW to design operation and display interface, and send the images collected to MATLAB for complex arithmetical operation, then put out data in LabVIEW. The experiment indicates the system has the advantage of intuitive interface, convenient operation, and quick arithmetic, has the practical reference value.
Effect of Welded Mechanical Heterogeneity on Fracture Parameters at the Crack Tip
Authors: Xue He , Tao Xiao Qing , Wang Wei Bing , Wang Zhen Wen , Wang Ying Ru , Gui Yuan Kui , Guo Rui , Li Xiao Bo
Published: December 2014

The welded joint is the critical area in the structure integrity investigation. To understand the influence of the mechanical heterogeneous on the fracture parameters in welded joint, the represented way of the welded mechanical heterogeneity and its effect on the mechanical parameters at the crack tip are analyzed by using an elastic-plastic finite element analysis software in this paper. The investigated results indicate that continuous change of material mechanical properties could express the effect of the actual welded mechanical heterogeneity on the fracture mechanical parameters change in the welded joint more accurately, which provide a new approach on the fracture problem investigation in welded joints.
Analysis of Energy Efficiency of Cooperative Communication in Wireless Sensor Networks
Authors: Jin Li Ming
Published: December 2014

Wireless sensor network (WSNs) is composed of a large number of cheap micro sensor nodes with wireless communication and computing capabilities, which will deploy in unattended monitoring area through the cooperation of autonomous monitoring tasks assigned, and sending the information of monitoring object collection to intelligent monitoring network system for remote users.
Construction Method of Virtual Network Communication System Based on UDP Protocol
Authors: Zhang Zhi
Published: December 2014

The virtual network communication system and its construction method is researched, the service quality of the virtual network communication is improved. In view of the virtual network communication problems, the construction method of virtual network communication system is proposed based on UDP protocol. The communication system, it needs to build the UDP protocol. The protocol is taken as the virtual network communication platform, and the data transmission of virtual network communication is completed. Simulation results show that the improved algorithm is applied in the virtual network communication, the virtual network communication system is constructed, and the error rate can be effectively reduced, the efficiency of communication is improved, and it can meet the actual needs of users.
Design of Gait Recognition System Based on FPGA and DSP
Authors: Deng Zheng Hong , Jiao Li Tao , Liu Li Yan , Zhao Shan Shan
Published: December 2014

According to the trend of the intelligent monitoring system, on the basis of the study of gait recognition algorithm, the intelligent monitoring system is designed based on FPGA and DSP; On the one hand, FPGA’s flexibility and fast parallel processing algorithms when designing can be both used to avoid that circuit can not be modified after designed; On the other hand, the advantage of processing the digital signal of DSP is fully taken. In the feature extraction and recognition, Zernike moment is selected, at the same time the system uses the nearest neighbor classification method which is more mature and has good real-time performance. Experiments show that the system has high recognition rate.
Detect Tampered Image: A New Approach
Authors: Wang Ting
Published: December 2014

Detecting tampered image is a challenging work due to the high volume of image database and the accurate definition of tampering. We propose a novel algorithm based on standard deviation which could detect the tampered automatically, furthermore, localization and extraction process is conducted to optimize the proposed method. Color reduction technique, intensity based method for edge detection and horizontal based localization approach are applied here to fulfill the algorithm. The core idea of the paper is that normally tampered regions process high standard deviation while compared with non-tampered areas. As the result, the output of our algorithm is tampered regions. By presenting promising experience, the performance of proposed method is analyzed. Further application and possible optimization are discussed.
Research on the Detection of Moving Target for Sport Video Object Analysis Using Hybrid Algorithm
Authors: Li Rui , Xu Hai Cheng , Fu Jin Wei
Published: December 2014

With the raise the level of sports competition, sports training requirements is also rising, just by virtue of the coaches of the intuition training way already can't satisfy the stages of athletic training needs, in order to adapt to this situation, the computer vision technology is increasingly cited used in sports training, because the accuracy and memory of the machine vision has better compared with the human eye, can capture the target quickly and efficiently, and can be a variety of motion data record goal, to provide more theoretical, data description for the athlete's movement. The level of theory mainly includes three parts: basic feature layer, model, event layer and knowledge layer. On the theoretical level, corresponding to the corresponding technical route: basic motion feature extraction, pattern, event mining technology. The theoretical level in each layer are not independent, low layer is tall service, but they also have their own characteristics, can be used for mining information.
An Improved Collision Detection Algorithm Based on GPU
Authors: Wang Ming Quan , Zhao Wei , Qu Hui Yan
Published: December 2014

In order to improve the speed of collision detection between objects in the large-scale and complex scene, this paper proposed an improved collision detection algorithm based on GPU, In this method, we first divided the virtual space into several grids to rule out the impossible intersecting objects rapidly using the GPU acceleration technology; secondly, we adopted parallel technology to build K - DOP bounding boxes for the objects in the same grids and then detected whether the K - DOP bounding boxes intervene or collide to conform the potential colliding primitive pairs; Finally we traveled the final triangle intersection tests on GPU. Compared to the traditional K-DOP compared bounding box collision detection, The algorithm can effectively improve the real-time collision detection.
Barley Diseases Discrimination Based on Neural Network
Authors: Wang Lin Ming
Published: December 2014

First disease spot color and texture features were extracted from barley field images in Gansu, and the feature vectors were used as input vector to establish barley diseases classifier model. Then the neural network was applied to rain classified model with collected images as training set. Finally, two groups of random selected images as test sets were used to perform classified verification experiments. The experimental results show that the overall accuracy of barley dis-eases recognition model is above 86.7%. Therefore, Barley disease image recognition based on neural net-work provides a new technology for the classified treatment of barley diseases.
Research on Physical Decay Model and Location Fingerprint for WIFI Positioning Algorithm
Authors: Xu Jian Hong , Feng Yan Li , Fan Wen Wen
Published: December 2014

for the mutual restriction problem of precision and efficiency of current WIFI positioning technology, we propose a locating algorithm combining the Location Fingerprint with the Physical Decay Model and carry out de-noising treatment during the data collection. Use direct physical decay model to position within a tolerable error range. When the error exceeds the threshold, combined with location fingerprint algorithm, we use KNN for further exact match. Experients show that this method can effectively reduce the errors caused by unstable RSSI and improve the positioning accuracy and efficiency.
An Adaptive User Grouping Algorithm in Uplink CoMP System
Authors: Wang Sheng , Xue Xiao Yan , Wang Kai Xun , Zhu Shi Lei
Published: December 2014

Aiming at improving the uplink sum capacity of the CoMP (Cooperated Multiple Point) system, an adaptive user grouping algorithm is proposed based on the properties of users, in which the uplink CoMP system is regarded as a virtual MIMO system. The proposed algorithm firstly finds out the count of the groups that the users should be divided into, then divides the users into groups by their quantitative properties. Simulation results show that the proposed algorithm increases the sum capacity of uplink, and also proves the algorithm’s effectiveness.
A Novel Antenna Selection Algorithm Based on Port Selection in Distributed MIMO Systems
Authors: Zheng Nae , Ren Xiu Kun , Dong Peng , Zhu Shi Lei
Published: December 2014

The antenna number in distributed MIMO system is much larger than that in distributed antenna system (DAS) and traditional centralized MIMO system. Therefore adopting the existing antenna selection algorithms with excellent performance will make it difficult to realize the system due to the complexity of the algorithms. In order to solve the problem, a novel antenna selection algorithm performed at the base station (BS) is proposed according to the structural characteristics of the system. In the proposed algorithm, the antenna search scope is narrowed down by port selection based on the trace of the sub-channel matrices, and antennas with little contributions to the system capacity are removed gradually by iteratively updating the optimization parameter, which further reduces the complexity. When this algorithm is treated as the transmit antenna selection algorithm, its port selection process is performed by the user equipment, which can reduce the feedback overhead. Simulation results show that the proposed algorithm possesses the similar system capacity with the optimal algorithm.
Finite Element Analysis of Wind Turbine Lifting Platform Bridge Structure
Authors: Tang Yu , Wu Yu Hou , Zhang Ke , Sun Jia , Song En Wei
Published: December 2014

Designed a new type of wind turbine internal maintenance lifting platform using three-dimensional drawing software SolidWorks to establish the 3D model for the internal maintenance lifting platform. Imported platform bridge part to ANSYS Workbench static and modal analysis module; make load analysis according to the wind turbine operating environment and platform’s most dangerous operating condition and obtain the maximum stress of platform bridge structure and place and form of deformation. Obtained multiple order natural frequency and vibration mode of platform bridge structure through modal analysis. Compared with the standard, it shows that this structure satisfies the strength and stiffness requirement and will generate frequency affecting human body higher than the nature frequency. This thesis provides a theoretical foundation for designing the wind driven generator internal lifting platform and provides a reference for optimization design.
Optimize Preview Model Parameters Evaluation of RANSAC
Authors: Tian Zhuo , Li Bai Cheng
Published: December 2014

The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction of outliers. In this paper, we propose an approach for optimizing the preview model parameters evaluation of RANSAC that has the benefit of offering fast and accurate RANSAC. With guaranteeing the same confidence of the solution as RANSAC, a very large number of erroneous model parameters obtained from the contaminated samples are discarded in the preview evaluation selection. And use local optimization step apply to selected models. The combination of these two strategies results in a robust estimation procedure that provides a significant speed and accuracy RANSAC techniques, while requiring no prior information to guide the sampling process.
Trajectory Prediction Algorithm Based on Iterative Fitting
Authors: Dong Yu Bing , Li Ming Jing , Wang Hai Yan
Published: December 2014

A real-time predicting trace algorithm is proposed using the process of target tracking, the target’s position in the next frame is estimated by the iterative fitting. Making the predict position as the center, the target is searched within a certain window and the target tracking is accomplished. The target’s trajectory is obtained by fitting the target’s positions using curve. The experiments show that the algorithm reduces the matching complexity, improves the tracking speed and tracking precision.
A Simulation Study of FIR Anti-Aliasing Filters
Authors: Yang Yi Huai , Wang Li Fang , Li Yuan
Published: December 2014

This paper brief describes FIR anti-aliasing filters with equiripple pass bands and stop bands. We designed equiripple linear-phase FIR filters with one stage, two stages and three stages. The simulation results of the proposed design scheme are very encouraging as far as robustness and computational complexity are concerned
Missing Tag HPL Detection Algorithm in Large Scale Active RFID System
Authors: Fan Wen Wen , Feng Yan Li , Xu Jian Hong
Published: December 2014

To address this issue that the real time monitoring tag of large-scale active RFID tag system, we propose an another missing tag detection algorithm which is based on frame-slotted ALOHA protocol. By reducing the number of bits of the tag reply information, the energy consumption of active tags has been greatly reduced. Compared with that traditional detection algorithm based on tag identification number, experimental results demonstrate that HPL algorithm will reduce an order of magnitude on energy consumption of label, and at the same time, it will reduce the execution time of the algorithm. Meanwhile, compared with the best iteration ID-free protocol detection algorithm currently, HPL algorithm will reduce three orders of magnitude on energy consumption of label, and reduce the execution time of the algorithm.
Wideband DOA Estimation Method Based on Khatri-Rao Subspace with Uniform Focusing
Authors: Zhang Jin , Qi Shi You , Yong Ai Xia
Published: December 2014

A new wideband DOA estimation method based on Khatri-Rao subspace using uniform focusing is presented in this paper. Due to using the uniform focusing matrix which does not require pre-estimating the DOAs of signals in advance, its resolution is improved obviously and its computation complexity is reduced greatly. Meanwhile, it can also resolve more signals than the number of array sensors. Theoretical analysis and simulation results demonstrate the effectiveness and efficiency of the method.
Research on the Tension Effects on Automobile Damping Synchronous Belt Transmission System Damping and Dynamic Stiffness
Authors: Shi Yao Chen , Li Zhan Guo , Liu Dan
Published: December 2014

because of the synchronism belts driving has the advantages of vibration absorption, noise reduction, constant transmission ratio, so it is widely used in automotive engine timing driving system, The stiffness and damping coefficients of the synchronous belt is the main factor affecting the synchronous belt transmission in the process of vibration and noise. In this paper, the model W automotive synchronous belt is simplified as a spring damper system, to solve the stiffness coefficient and damping coefficient of synchronous belt, design of a device for measuring the synchronous belt stiffness coefficient and damping coefficient, measured the belt stiffness coefficient and damping coefficient in the conditions of different tension, and the accuracy of the solution method for synchronous belt stiffness coefficient and damping coefficient was verified as well.
Human Physiological Signal Recognition Based on Piezoelectric Impedance Technique
Authors: Zhang Jun , Huang Jie , Tang Hong Mei , Li Xian Hua , Cai Qing Yang
Published: December 2014

In order to verify whether the piezoelectric impedance technology can be applied to detect the physiological signals of human body, the principle of piezoelectric coupling impedance theory and piezoelectric impedance technology using for human physiological signal detection was introduced in this paper. With an experiment platform set up, detection experiments based on the piezoelectric impedance technology were created. And the experimental1 was improved to avoid the influence of man-made factors on experiment result. Two methods were used to deal with the experimental data. The results show that the piezoelectric impedance technique can be applied to identify the human body physiological signal, and offers a totally new idea to detect the physiological signals of human body.
Asynchronous Sampling Rate Conversion of Digital Audio Signal
Authors: Xue Yan , Yang Fei
Published: December 2014

At present, in the digital audio processing sampling rate is respectively 32 kHz, 44.1 kHz, 48 kHz [1]. Because of the different criteria, there is much inconvenience in the process of research. Therefore, the sampling rate converter is a must, between any two kinds of sampling rate. In synchronous sampling rate conversion, you can use decimation and interpolation for sampling rate conversion, but in the asynchronous sampling rate system, due to the different input clock pulse with the output clock pulse, the above method cannot achieve. Therefore we introduce the fractional delay filter sampling rate conversion. This article introduces the principle of the sampling rate conversion and the fractional delay filter based on Farrow structure. At last, we simulate asynchronous sampling rate conversion of audio signal through the MATLAB.
A Comparison of Two Typical Local Feature Matching Algorithm: SIFT and MSER
Authors: Jiang Xiao Cun , Liu Xiao , Tang Tao , Fan Xiao Hu , Cui Xiao
Published: December 2014

Scale invariant feature transform matching algorithm and Maximally Stable Extremal Regions matching algorithm have been widely used because of their good performance. The two local feature matching algorithms were compared through numbers of experiments in this paper. The experiment results showed that SIFT is good at dealing with the image distortion from shooting distance difference and small shooting viewpoint deviation; MSER is good at handling the complicated affine distortion from big shooting viewpoint deviation. From the aspect of scene types, the performance of SIFT is good both to structure images and texture images. MSER is suitable for the matching of structure images, but not so successful to that of texture images.
Novel Synthesis Method for Image of Materials Texture
Authors: Peng Hong Tao , Zhang De Gan , Song Xiao Dong , Wang Xiang
Published: December 2014

Most patch-based texture synthesis algorithms using Markov Random Field for composite materials only considers color similarity between the corresponding pixels. The traditional algorithms are lack of adaptability, so the size of patches needs to be defined artificially in advance as the result of blurring of image texture features for composite materials. In order to improve above problems, a new patch-based sampling algorithm for synthesizing textures from an input sample image texture of composite materials is presented in this paper. By using patches of the sample texture as building blocks for image texture synthesis of composite materials, this algorithm makes high-quality texture synthesis for a wide variety of textures ranging regular to stochastic. The method is effective by our experimental results.
Pedestrian Counting Based on Pyramid Optical Flows Clustering of Corner Point
Authors: Liu Fang Ming , Zhou Ren Yun
Published: December 2014

For the public places, statistical analysis of pedestrian traffic can be used for pedestrian flow rate distribution in time and space. The effective analysis personnel density can be used as important data for the improvement of the public places software and hardware facilities. In this paper, we introduce a method based on Pyramid optical flows clustering of corner point to improve the counting accuracy. We also report that using length clustering, angle clustering and original location clustering to enhance the counting accuracy.
Analysis on Production Plan and Results of Ground Granulated Blast Furnace Slag Based on Circle Flow Mill
Authors: Cheng Guang Hui , Song Yuan
Published: December 2014

The change of the specific surface area, particle size and activity index of ground granulated blast furnace slag under different grinding conditions is researched based on closed-circuit mill in the paper. The research shows that the grinding effect is greatly different with the different grinding body, and proper pre-grinding time can help to improve the grinding effect. The optimum plan in this paper is as follow: pre-grinding 15 min at steel bar then grinding 30 min at ball grinding, and it will getting the maximum specific surface area, the smallest powder particle size and the the maximum activity index.
Calixarene-Based Fluorescent Chemosensors for Metal Ions via Clicking
Authors: Tang Wei Ping , Su Ming Yang
Published: December 2014

Calixarene-based fluorenscent chemosenors, owing to its simplicity, high sensitivity and high detection limits for metal ions in biology and the environment, has been received much attention. Via cliking, calixarene derivations has the group of triazoles, which can bind to metol ions, but also can be modified by various fluorophores. This in-depth review provides an overview of calixarene-based fluorescent chemosensors for metal ions via clicking.
Research on Applications of High-Tech New Materials in Sports Training
Authors: Cai Zhi Qiang
Published: December 2014

With the more demanding requirements of sports training equipment, the applications of high-tech new materials are mainstreams of the new century sporting goods industry. In this paper, there is introduction of the application of new fibers in the field of sports training equipment and their applied advantages, and it plays an important part in improving achievements of sport. Modern sports training development is the essence of science and technology to guide the modern development of new material.The advantage of high-tech new materials, examples and status of application for sports instruments are discussed. As the high-tech new materials have a large number of excellent characteristics, design freedom can be large, which are widely used to improve the player performances with the unique charm in sports training. The high-tech new materials have become one of essential new materials for the development of modern sports training.
Application of Fiber Reinforced Composites for Sports Instruments
Authors: Su Dong Hai
Published: December 2014

The application of fiber reinforced composites for sports instruments is introduced. The advantage of fiber reinforced composites, materials selection, products varieties, examples and status of application for sports instruments are discussed.
Study on the Preparation and Properties of APP by Non-P2O5 of Polyphosphoric Acid
Authors: Du Huai Ming , Luo Rong Zhen , Huang Bin , Zhang Feng Zhen , Yan Jie , Yang Hu , Zhou Gang
Published: December 2014

Ammonium polyphosphate (APP) is a well known component of halogen-free flame retardants. Low solubility Ammonium polyphosphate was prepared by polyphosphate acid and urea. The crystal structure of prepared APP was characterized by FTIR and XRD, its thermal stability was tested and compared with those of commercial APP-I and APP-II, and its water solubility was measured and compared with commercial APP-I and APP-II. The conclusion is drawn that synthesized product belongs to the APP-II, and has similar properties as commercial APP-II. Under the optimal conditions, the polymerization degree of APP was 665.4, and the content of NH3-N and P2O5 were 14.36% and 69.84% (wt).
Research on Assessment Parameters of Adsorption Properties in Cation Exchange Membranes for all Vanadium Redox Flow Battery
Authors: Chen Jin Qing , Lv Hong Ling , Wang Bao Guo
Published: December 2014

The relative adsorption coefficient, a novel parameter was introduced to describe the dominant adsorption ability of ions in cation membrane for all vanadium redox flow battery instead of traditional selectivity coefficient. The parameter as a function of membrane property and vanadium ions in membrane was derived from the relative potential differences in membrane between an isothermal adsorption and an ideal equivalent adsorption. The adsorption isotherms of three kinds of commercial membranes were measured for VO2+/H+ electrolyte system. The results show the reasonable rules that the relative adsorption coefficients increase as the VO2+ contents are increased whereas decrease as the H+ contents are increased in electrolyte.
Preparation and Thermal Performance of Fluorinated Carbon Nanotubes/Thermoplastic Polyurethane Nanocomposites
Authors: Dai Li , Jia Run Ping , He Xin Yao , Huang Mao Song
Published: December 2014

To achieve well dispersion of carbon nanotubes (CNTs) and increase the interactions between CNTs and thermoplastics polyurethane (TPU) matrix,a new type of fluorinated carbon nanotube (f-CNT) was modified by fluorine plasma grafting with fluoropolymer. A series of f-CNTs/TPU nanocomposites were prepared by one-step in situ bulk polymerization method. The morphology, thermal property and chemical resistance of nanocomposites were characterized and compared. Results indicated thermal degradation temperature was largely increased and the glass-transition temperature increased from-51.7°C to-42.3°C. Moreover, the chemical resistance was apparent improved.
First-Principles Study of Interaction of Lithium Atoms with (3, 3) Carbon Nanotubes
Authors: Xu Shun Fu , Li Ling Min
Published: December 2014

In this paper, we have employed first-principles calculations to investigate the adsorption mechanisms of one lithium atom on the sidewalls of 1/2/3 H-adsorbed indefective/defective (3, 3) single-wall carbon nanotubes (CNTs) which have vacancy defects. Our calculations are performed within density functional theory (DFT) under the generalized gradient approximation (GGA) of Perdew, Burke, and Ernzerhof (PBE).Our results show that the lithium atoms strongly binds to the H-adsorbed (3, 3) nanotube. Lithium atoms can chemically adsorb on (3, 3) nanotube with the vacancy defect (MVD) without any energy barrier. The lithium adsorption will enhance the electrical conductivity of the nanotube. Further more, the structure of the (3, 3) nanotube with the MVD and hydrogen atoms will become more stable after the three kinds of lithium adsorption.
Density Functional Theory Calculations of Atomic Hydrogen Adsorption on (3, 3) Single-Wall Carbon Nanotubes with Vacancy Defects
Authors: Li Zong Sheng
Published: December 2014

In this paper, we have employed density functional theory (DFT) to investigate the adsorption mechanisms of atomic hydrogens on the sidewalls of (3, 3) single-wall carbon nanotubes (CNTs) which have vacancy defects. All the calculations were performed using the generalized gradient approximation (GGA) with the Perdew, Burke and Ernzerhof (PBE) correlation functional.Our results show that hydrogen atoms can chemically adsorb on the defective nanotube. Bonding energy of per hydrogen atom decreases with the number of adsorbed hydrogen atoms. The hydrogen atoms will enhance the electrical conductivity of the (3, 3) nanotube. Besides one hydrogen atom adsorbing on the nanotube with a vacancy defect (MVD), hydrogen atoms move towards the MVD of the nanotube.
Preparation of Modified Silica Sol, the Mechanism Analysis and the Applied Research
Authors: Zhang Xian Yun , Song Xue Feng , Li Jin Tao , Yin Wen Cheng
Published: December 2014

Using the methyl trimethoxy silane (MTMS) and methyl triethoxy siliance (MTES) each modified the surface of nanosilica sol.Through measuring the percent conversion of silance coupling agent and the water absorption of the cement paste.the optimal technical processes of the modified silica sol were obtained:: Mcoupling agent = 3:1,pH = 2,the synthesis temperature of 40 °C,the Synthetic time for 40 min. MTMS hydrophobic effect of modified silica sol significantly better than MTES, the higher the stability of the solution and the infrared spectrum analysis of the grafting mechanism of silane coupling agent.
Study on the Effect of Impact Velocity on Slamming Loads
Authors: Yu Peng Yao , Ren Hui Long , Li Hui , Feng Guo Qing
Published: December 2014

An explicit finite element method which is combined with the Arbitrary Lagrangian-Eulerian (ALE) algorithm is applied to forecast slamming loads during the structure entries into the water. By adjusting the contact parameter, the result of slamming force is improved and this result is compared with the corresponding experimental values to verify the numerical prediction method of slamming loads. By simulating the wedge into the water at a constant speed and evenly variable speed, the effect of the impact velocity on local slamming pressure and global slamming force is studied.
Synthesis and Characterization of Li0.97K0.03FePO4/Graphene Composites by Carbonthermal Reduction Method
Authors: Wang Yan , Feng Zhe Sheng , Wang Lu Lin , Chen Jin Ju , He Zhen Yu
Published: December 2014

Li0.97K0.03FePO4 and Li0.97K0.03FePO4/graphene composites were synthesized by carbothermal reduction method using acetylene black as carbon source. The structure and electrochemical properties of the prepared materials were investigated with X-ray diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy, galvanostatic charge and discharge and electrochemical impedance spectra tests. The results indicated that K doping improves the cyclic stability of samples, the addition of small amounts of graphene results in better electronic properties on sample. Li0.97K0.03FePO4/graphene showed discharge capacity of 158.06 and 90.55 mAh g-1 at 0.1 C and 10 C, respectively. After the 50 cycle test at different rates, the reversible discharge capacity at 0.1 C was 158.58 mAh g-1, indicating the capacity retention ratio of 100.32%.
Catalytic Effect of Ti on H-Desorption/Absorption Properties in MgH2 Prepared by Ball Milling
Authors: Wang Yan
Published: December 2014

We report on the preparation and hydrogen desorption/absorption kinetics of nanocrystalline magnesium hydride (MgH2) added commercial Ti by high-energy ball milling. The phase and composition of the as-milled powders are characterized by X-ray diffraction (XRD). The results show that the milled sample contained MgH2phase, Ti phase and small amount of MgO phase. When the milling time is 30 h, the hydrogen desorption property of MgH2has been investigated and found that the sample releases 0.43, 0.86 and 0.90 wt% H2in 200 minutes at 280, 290 and 300oC , respectively. Moreover, the sample absorbs 0.48, 0.0.58 and 0.61 wt% H2in 15 minutes at 280, 290 and 300oC , respectively. It can be seen that the kinetics of hydrogen desorption/absorption of MgH2-Ti composite has been greatly enhanced compared to the pure MgH2.