bluuebunny/crossref_metadata_2025 huggingface dataset:
Fast Discretization Algorithm of Densely Subdivided NURBS Curves
Authors: Yang Jian Zhong , Tang Jian , Wang Wei Qiang , Chen Ji Hong
Published: March 2014

This paper develops a discretization algorithm for non-uniform rational B-spline (NURBS) curves. The algorithm is used for CAM software which is developed for HNC-3000 five-axis woodworking NC milling machine. Functions from the CAM software divide the NURBS into dense segments with equal arc length by vertex set p1, p2pn. The algorithm simultaneously considers chord error δ and curvature of the NURBS curve to maximize the arc length of the segments to get vertex set p'1, p'2 pm'. The algorithm can be described as f (p1, p2pn, δ) = (p1', p2'pm'). The complexity of the algorithm is O (n).
Bi-Cubic Interpolation Algorithm Based on Non-Subsampled Contourlet Transformation
Authors: Xie Qi , Chen Wei Yi
Published: March 2014

This article introduces several interpolation algorithms, and analyze the characteristic and disadvantage of wavelet transformation and contourlet transformation. A Bi-cubic interpolation algorithm based on non-subsampled contourlet transformation is described. The experiments prove this algorithm can improve the quality of image reconstruction better than Bi-cubic interpolation, wavelet bi-cubic interpolation and contourlet interpolation.
BFO Optimization Algorithms for Vehicle Routing Problem with Time Windows
Authors: Tan Li Jing , Lin Fu Yong , Wang Hong
Published: March 2014

Vehicle Routing Problem with Time Windows (VRPTW) is a constrained NP-hard problem that designs the least cost routes from one depot to a set of geographically scattered points. Most of traditional techniques are difficult to solve this kind of problem. In this paper, we explored the validity of another swarm-intelligence-based model-Bacterial Foraging Optimization (BFO) for VRPTW solving. Original BFO, BFO with linear decreasing chemotaxis step (BFO-LDC) and BFO with non-linear decreasing chemotaxis step (BFO-NDC) are used to obtain the best solutions of a given VRPTW problem, respectively. The experimental results demonstrated that the proposed BFO algorithms have the potential to solve Vehicle Routing Problem with Time Windows (VRPTW) with rapid convergence rate and the good result accuracy.
Meshing Analysis on Stress Distribution of Mechanical Structure Based on Digital Mining Technology
Authors: Hu Wei , Zhang Jia Lin
Published: March 2014

The data mining technology is one of the most commonly used computer data analysis method. This paper establishes finite difference model of the data mining process using forward first difference, backward first difference and central difference and verifies the feasibility of the algorithm through Matlab software. In order to verify the suitability of the algorithm, the paper takes modeling and meshing of Proe mechanical engineering software for example and establishes the model for the yankee dryer. It achieves the meshing of complex dryer model and gets the better unstructured tetrahedral mesh. It also introduces grid to the computer mechanics simulation software and concludes simulation stress distribution of dryer through the calculation. At last, this paper applies the finite difference data mining algorithms to the research of the development of in local sports single associations. This paper concludes the characteristic curve of the development of local sports federations which realizes the application of computer data mining in the analysis of sports data.
Research on the Testbed Framework of Spacecraft
Authors: Song Xu Min , Lin Qi , Chen Yong
Published: March 2014

Aiming at the characters and requirements of spacecraft design, simulation and test, The test-bed framework was studied in this paper. The framework architecture employ the Data Distribute Service (DDS) to provide communications abstractions and reduce software interface complexity. The time management strategy was studied to keep synchronic of all components. The CAN bus interface was designed to integrate the CAN bus components. The framework will allow rapid-prototyping of high-fidelity simulations of spacecraft during their early project phases, and help reduce the effort, time and expanse to evaluate the performance.
Research of On-Line Programming Technology Based on Infineon AUDO FUTURE Series Micro-Controller
Authors: Huang Zhi Yu , Sun Xiao Fang , Chen Bei Xin
Published: March 2014

The Infineon AUDO FUTURE series micro-controller is widely applied in automobile power system, to solve the online programming problem, paper designed online upgrade system for Infineon AUDO FUTURE series MCU based on CAN Bus, which uses IAP technique to realize triggering bootloader without adding any hardware. Since all ECUs in vehicle are connected to CAN Bus which use ISO15765 protocol to communicate with each other, the entire download process paper designed follow the ISO15765 protocol. This system is suitable for any chip of this series and paper test it based on TC1767. The experimental result shows that this system has strong reliability with high efficiency.
A Modified Update Rule of Field Variable Using Hybrid Cellular Automata Method
Authors: Xiang Xiao Bo , Du Yi Xian , Tian Qi Hua , Wang Jin Xue
Published: March 2014

The hybrid cellular automaton (HCA) algorithm is a gradient-free methodology that combines both local update rules based on the cellular automaton (CA) paradigm and the finite element analysis (FEA). The local update rules could determine the distribution of the material based on the local state information collected from cellular automaton paradigm. This paper proposes a modified update rule of field variable to suppress the mesh dependency and gray-scale elements problems occurred in topology optimization of continuum structures. Two typical numerical examples are presented to prove the effectiveness and robustness of the proposed method in solving the numerical instabilities problem.
Dynamic Spectrum Access Considering Channel Fading in Cognitive Networks
Authors: Tao Ye Bin , Zhu Shi Ding
Published: March 2014

This paper investigated the method of Dynamic Spectrum Access (DSA) in cognitive networks, considering the PU channels both time-varying and fading. We used the Partially Observable Markov Decision Process (POMDP) framework to model this problem and designed a greedy strategy. The simulation results shows that the proposed strategy obtained better throughput performance than the existing works.
A Data Mining Algorithm Based on Improved K-Means Clustering
Authors: Zheng Yang
Published: March 2014

This paper purposes a K-means clustering algorithm based on improved filtering process. Thealgorithm improves the filtering process,The two minimum sample points are reasonable initial clustering centers. It makes the probability summary of data in a cluster as large as possible, and the probability summary of data in different clusters as small as possible. Experimental results show that the proposed algorithm can select the proper initial clustering center, and it is more compact and robust than thetraditional K-means clustering algorithm.
Research the Influence of Part State Sliding Surface on SMC Chattering
Authors: Shen Yu , Fan Yi
Published: March 2014

The influence of sliding surface on SMC design is considered. How the sliding surface affect the chattering frequency and amplitude is investigated by describing function (DF) approach. In part-state sliding surface SMC, the chattering can be changed by feedback state selection. The relationship between chattering types and initial state values is analyzed. The proposed approach is proved has sufficient accurate estimation and judgment by simulation response curves. Simulation curves show that sliding surface design plays important roles in chattering frequency and amplitude.
Enabling Confidentiality for ADS-B Broadcast Messages Based on Format-Preserving Encryption
Authors: Huang Rong Shun , Yang Hao Miao , Wu Hong Gang
Published: March 2014

The automatic dependent surveillance-broadcast (ADS-B) system is the backbone of the next-gen air traffic control (ATC) modernization plan. Unfortunately, ADS-B system suffers from serious cyber-security vulnerabilities due to the open broadcast of aircraft data, without regard to message confidentiality. However, using common encryption scheme to provide confidentiality of ADS-B data is not a good solution, because encrypting data with ordinary cryptosystem would violate the original openness intention of ADS-B system design. In this paper, based on the new format-preserving encryption (FPE), we present an efficient data encryption scheme for the ADS-B data. The security analysis demonstrates that our scheme can achieve confidentiality of ADS-B data. The performance evaluation shows that the scheme is computationally efficient for the typical avionics devices with limited resources.
Towards Sentiment Classification with Co-Training Method
Authors: Peng Qing Xi , You Lan
Published: March 2014

With development of Web2.0, user-generated-contents spread in the Internet. It provides good topics to the research. People express their opinions and sentiments on the cyberspace. The opinions and sentiments are very important and attract extensive research. However, it is impossible for the user to browse the content carefully. Hence classification and summarization of online text become a pressing issue. In this paper, we propose a Co-Training method to the sentiment classification. Posts and replies have been chosen as different views for the Co-Training. Several features have been employed. Experimental result in the datasets demonstrates the advantage of the proposed model.
Comprehensive Evaluation System Design of Armored Vehicle Cabin Environment Based on LabVIEW
Authors: Yan Xian Zhi , Liu Wei Ping , Huang Guan Sheng , Jin Yi
Published: March 2014

Based on LabVIEW, the comprehensive evaluation system of armored vehicle cabin environment is designed and developed. Combining the function and demand of the evaluation system, the system evaluation process is proposed and the system general structure is designed. Through the method of dynamic calling subvi on subpanel, hybrid programming with MATLAB and LabVIEW, and the organic combination of the For Loop Structure and form controls, the specification of software interface design, data input/output and weighted filtering analysis of test data in the time-frequency domain and other technical problems are solved.
A Functional-Structural Model of Virtual Plant Based on the Labeling Algorithm and the Growth State Chain
Authors: Gao Si Cong , Chen Gang , Fu Zhong Liang , Liu Peng Xiang
Published: March 2014

According to the structural characteristics of the plant itself, this paper Improved plant topology parsing classic language L-system and defined the basic unit of a reasonable scale. We combined basic growth unit, which consists of the chain of growth state, and ecological model. Applying C++ language to define L-system rules, rules for parsing, character iteration, physiological and ecological model program; combining with OpenGL graphics library for rendering three-dimensional structure of plant expression. Using classical topology of Botany Roux as experimental model simulation. We compare the simulation results and conventional classical model. At least, we prove this model is applicable.
A New NEAT Algorithm to Particle System Modeled by ANN
Authors: Duan Hong
Published: March 2014

One problem in NEAT is too difficult to get the adaptive function value , Basing on some hypothesizes, we only need to widen the distance of features of speciation in the population the more the better. So the fitness function is to find the average characteristic distance of every speciation in current population, choose first n biggest speciation to leave, and remove others.
Prediction Models for Railway Freight Volume Based on Artificial Neural Networks
Authors: Sun Yan , Lang Mao Xiang , Wang Dan Zhu , Liu Lin Yun
Published: March 2014

The current China railway freight transport has always been faced with the situation of limited transport resources. Many relative studies have been done to solve the problem of resource shortage. And railway freight volume prediction is the basis of all these studies. With accurate volume prediction, railway freight transport administrations can precisely allocate the transport resources, such as wagons and locomotives. In order to overcome the limitations of traditional prediction methods, in this study, we design four artificial neural network models for prediction, including BP neural network model, linear neural network model, RBF neural network model and generalized regression neural network model. The results of simulation and comparison show that all these models can reach high prediction accuracy and generalized regression neural network has both higher prediction accuracy and better curve fitting capacity compared with other models.
Research and DSP Realization on the Improved Algorithms for PUCCH Format 2a/2b in TD-LTE System
Authors: Liu Yu , Ni Xin
Published: March 2014

In TD-LTE system, the transmitter generates PUCCH format 2a/2b information, including reference signal with 1/2 bits ACK/NACK feedback information, and the receiver first must use blind estimate to get the ACK/NACK feedback information, and then get the channel response of the reference signal symbols, then the channel response of the data symbols is obtained by time domain interpolation algorithm. This paper first introduces the traditional algorithm of d (10) and the existing algorithm, and then proposes an improved algorithms. Though simulation analysis, the improved algorithms are superior to the traditional algorithm, and the LS algorithm is to implement by DSP, after trade-offs between complexity and performance.
Research on the Prediction Method for Library Reader Flow Based on Evolutionary Neural Network
Authors: Wang Ping
Published: March 2014

It is an important work for modern libraries to predict reader flow. With the help of reader flow, library staff can grasp the change regulation of readers, allocate tasks rationally and take steps ahead of time in high-risk period. Because of reader flows typical non-linear characteristics, evolutionary neural network technology is introduced in this research so as to improve the accuracy of reader flow prediction. A prediction method for library reader flow based on evolutionary neural network is proposed. Genetic algorithm is used to optimize and design BP neural network firstly, then evolutionary neural network is used to predict reader flow. The experimental results show that evolutionary neural network is an effective tool for us to predict library reader flow. We can realize an accurate prediction for library reader flow by this method.
A Study on Simulation of Vibration Source Excited by Engine
Authors: Yang Wei , Shi Wen Ku , Chen Chun Xue , Chen Zhi Yong
Published: March 2014

Vibration exciting theory of working engine was analyzed based on dynamic method. Model of engine system and mounts was established and simulated in multiple working conditions by Power Unit module of dynamics software excite. Vibration acceleration of points on engine block adjacent to each mount was extracted to characterize and evaluate the vibration excited by engine in different working condition.
Research on Route Recovery Algorithm in Mobile Ad Hoc Network Based on On-the-Fly Strategy
Authors: Gao Wei Wei , Li Xiao Feng , Wang Jian Hua
Published: March 2014

For the local recovery of routing techniques in mobile Ad Hoc network (MANET), the fix problem with link failure is studied as a result of nodes moving relatively or wireless environment changing in mobile Ad Hoc network. It discusses the traditional local repairing methods which utilize the effect on service transmission delay and the successful delivery rate of packets by huge control overheads generated by the flooding throughout the network. In this paper on route-recovery algorithm in mobile Ad Hoc network based on on-the-fly strategy, it creates the repair model by limiting repair request zone within two hops and also builds the repair function so as to fulfill the objective of reducing flooding and controlling expenditures under the premise of meeting repair probability.
Design and Analysis of an Aircraft Assembly Posture Data Acquisition Experiment
Authors: Cao Wei , Zheng Guo Lei
Published: March 2014

In order to make an intensive study of issues related on aircraft assembly operators, such as the behavior of humans habit, the typical posture of manufacturing, the limb internal coordination mechanism and the working environment cognitive mechanism, aircraft assembly posture data acquisition experiment is designed and implemented in this paper. Firstly, the purpose and object of the experiment are determined. Secondly, the design and implementation of the experiment scheme are completed, including the definition of tasks and parameters, layout of measuring signalized points and experiment environment, and implementation of data acquisition experiment. Finally, the data acquired is processed to establish the relationship between human postures and operating points, and the results are analyzed. By using the method proposed in this paper, formation rules base of aircraft assembly process posture can be founded, which is the foundation of human global approximate posture generation algorithm.
The Principle and Implementation of P-Code Direct Acquisition
Authors: Yu Guo Qing , Jin Rui , Liu Lei , Du Li Bo
Published: March 2014

It is aimed at reducing the amount of calculation by 4-point average method, replacing coherent integration with circular correlation and Doppler shift searching with the circumference shift coming from FFT results. It uses two DDR2 caches to store FFT results of receiving yards and local codes. It elaborates the specific implementation methods of this algorithm on FPGA in detail, and stimulates the direct P-code acquisition algorithm based on FFT on ModelSim. The results of stimulation show that the algorithm can improves the data utilization rate and save the acquisition time.
Outage Probability for Dual-Hop Fixed Gain Relay Networks with Feedback Delay, Estimation Error and Co-Channel Interference
Authors: Li Min , Zhou Hong , Huang Qin Fei
Published: March 2014

The outage probability (OP) of dual-hop fixed-gain amplify-and-forward (AF) relay over Rayleigh fading channels is analyzed when the feedback delay, the estimation error and the multiple co-channel interferences (CCI) are all present. A closed-form expression for the OP is derived and validated by Monte Carlo simulations with several scenarios considered, also the impacts of feedback delay, estimation error and CCI have been shown in the numerical results.
Design and Analysis of a Low-Cost Mutual Authentication Protocol for RFID
Authors: Zhang Bing , Qin Zhi Guang , Wan Guo Gen , Ma Xin Xin
Published: March 2014

This document analyzes the security drawback of the Hash-based algorithm authentication protocols which is frequently used in low-cost RFID systems, and proposes a lightweight mutual authentication protocol. In the proposed protocol, all authenticated information is encrypted , the location privacy is also provided by refreshing an identifier of a tag in each session and lost massages can be recovered from many attacks such as spoofing attacks. The comparison result of the simulation experiment and the formal correctness proof of the proposed authentication protocol is based on BAN logic. It shows that the proposed protocol in this article greatly enhance the capability of verifiability, confidentiality and integrality, it also corrects the existing Hash-based protocol secure deficiency so that it is more suitable for low-cost RFID systems than those existing ones.
Demand-Oriented Optimal Spectrum Sensing Order in Dynamic Spectrum Access
Authors: Yao Chang Hua , Wu Qi Hui , Zheng Xue Qiang
Published: March 2014

In this paper, we proposed a more practical spectrum sensing order problem in cognitive radio networks (CRN), considering the effect of different traffic of second user (SU). We discard the impractical assumption that SU has data packets to transmit all the time, and use the actually packets per second rather than the channel capacity as the definition of throughput, to reformulate the optimal sensing order problem. The new method to decide sensing order can improve the throughput performance in practical system.
Application of Analytic Hierarchy Process (AHP) to Used Car Residue Ratio
Authors: Xiao Dong Ling , Dai Jian Ying
Published: March 2014

Confirm the value of used car with improved replacement cost method, which involves one of the key parameters of the used car into residue ratio. Calculated by different mathematical model into residue ratio, reflected in the final pricing of used cars, there will be a larger gap. In this article, we will consider several factors to affect the value of a used car. Based on the MATLAB statistical software, performance factors and aggregative factors, analyzes and firm the weight of each performance index in calculating modified coefficients in accord with Analytic Hierarchy Process (AHP). Then modifies residue ratio of used motor vehicles with coefficients and firms the assess price. Finally, it was useful and effective that the improved replacement cost method was proved by some experiences.
Optimal Broadband Pulse Design with Limited RF Amplitude in Nuclear Magnetic Resonance
Authors: Zhang Shu Lin , Chang Yan , Yang Xiao Dong
Published: March 2014

In this paper, we introduce an optimal control theory (OCT) based method for design of broadband excitation pulse with limited radio frequency (RF) amplitude in nuclear magnetic resonance (NMR). The capability of the optimized pulse was verified by the following design criteria: the state transfer of 1H fromtoover resonance offsets of, the pulse duration is 1ms with maximum RF amplitude of 10 kHz. The simulation result demonstrates that the optimal control-based shaped pulse is much more adaptable to broadband excitation, providing a better performance than traditional hard pulse.
Research on Hydraulic System Contamination in Different Wear Stages Based on Factor Analysis
Authors: Wang Ge , Liu Dong Feng , Zhou Zhi Cai
Published: March 2014

Every ship will face an extension run-in stage after equipment factory test. In the paper, adjustable pitch propeller of the two ships in different wear processes are selected for the experiment and the features of hydraulic oil are obtained. With FA (factor analysis), the features of the contamination can be represented by two feature factors, large size particles factor and small size particles factor. According to comparison of the contribution of the ships two factors, large size particles factor of the ship in extension run-in stage have much more influence on the hydraulic oils status than the other ship.
Alphabet Recognition Based on Computer Vision
Authors: Zhou Hui
Published: March 2014

In order to realize rapid alphabet recognition, the paper proposes an alphabet recognition method based on computer vision optimization technical which can also extract the classification features. Experimental results show that the obtained variance value of the test image and the standard image obtained by the proposed method is the minimum which indicating the method can achieve correct match, effective classification, and provide a great method of identification.
Target Recognition Based on Echo Product Spectrum
Authors: Zhang Kun Fan , Wang Feng , Dang Tong Xin , Zhao Yong Jun
Published: March 2014

High resolution range profile (HRRP) got by discrete Fourier transform has fence effect, which will cause HRRP change with the range shift, and the HRRP features will also appear different even in the same perspective. To solve this problem, the paper proposed the echo product spectrum feature (REPSF), which has no fence effect and eliminates the influnce of random initial phase and range shift. The proposed feature makes full use of the amplitude and phase information of echo signal, and has super-resolution target identification ability. Finally, simulation results verify the correctness of the theory.
Application of Digital Image Processing Software in Ceramic Design
Authors: Li Wei , Zhang Xin Yu
Published: March 2014

From rest to exercise and from two-dimensional to three-dimensional, digital image processing software can be multi-angle, multi-dimension, multi-direction infiltration for the various fields of design, which has wide applications in every corner of digital media. Firstly, the digital image processing software can analyze the common digital processing system model. On the basis of the principle of RGB color histogram, it also can analyze its application in the ceramic design. According to the set of image transformation principle, the analysis of the geometric transformation plays an important role in in ceramic set, to provide the theoretical basis for the digital image processing software to a certain extent.
The Multi-Channel Data Acquisition System Based on FPGA and ADS1252
Authors: Liu Bing Qi , Liu Ming Zhe , Jiang Xin , Mao Xiao Bo , Shen Tong
Published: March 2014

In this article, a design of multi-channel data acquisition system is presented. With FPGA as the core controller, the system can implement logic control over the high-speed ADC and acquire high-speed and high-resolution sample data. Using asynchronous FIFO as a cache, it can transfer data between two different clock domains: ADC data acquisition module and RS485 data module, which helps to improve the work efficiency and data throughput of the system. In the Quartus II development platform, Verilog hardware description language is adopted and finite state machine so that parallel acquisition operation to multi-channel ADC controlled by FPGA can be achieved and the system can become equipped with high-resolution, strong real-timeliness, low noise interference and other advantages. When it comes to the final step, simulation of AD sampling, asynchronous FIFO and RS485 transmission are conducted under the Modelsim environment and on-line testing by Signaltap to the system is synchronously implemented. The validity and reliability of the system are verified.
Correcting Distortion of Images from Non-Metric Camera
Authors: Cui Hong Xia , Cai Yan Wei
Published: March 2014

Photogrammetric calibration methods for digital CCD cameras are usually capable of acquiring explicit distortion parameters. However, it would cause the correcting results to be less accurate due to irregular array with explicit image correction method. In order to produce images with less distortion, an implicit model was proposed in this paper. Moreover, the model was applied to correct images from a non-metric camera. The real tests with images indicate the improvement is more obvious in eliminating distortion on images.
A Method to Enhance the Fog Image Based on Dark Object Subtraction
Authors: Zhang Jing , Dong Wei , Wang Jian Xin , Liu Xu Ning
Published: March 2014

Aiming at the problem of poor image contrast and low visibility, a single image contrast enhancement method is put forward in this paper. The method is based on Dark-object subtraction technique, translating the fog degraded image from RGB color space to YIQ color space, and taking out the Y component. Then using the maximum entropy method to get the threshold value of image segmentation, we can put different portion of the image according to the different formula for image restoration. The processed image must be converted from YIQ color space to RGB color space In the back of the steps. Finally, the image needs a linear dynamic range adjustment to enhance the contrast and brightness. Experiments show that the method can effectively remove haze effect on the image. The dehazing effect of the processed image is obvious. The image becomes clear and bright, and the details is outstanding, which is convenient for observation and analysis.
The Simulation of Downlink Reference Signal Resources in LTE-A System
Authors: Wang Hua Hua , Mu Peng Fei
Published: March 2014

In order to further enhance the transmission capacity of the downlink communication, to improve the utilization of limited resources, the terminal could better demodulate data,LTE-A system increased and supplemented the downlink reference signals and gave the 8 antennas for the reference signal configuration. This paper based on the LTE downlink reference signals and analyzed the efficiency of the LTE-A (LTE-Advance) downlink reference signals. Finally, paper drew the LTE-A downlink reference signals for communication by the flowchart and simulated resource utilization and the maximum number of available resources. The simulation results reflect the LTE-A downlink reference signals have a greater transmission capacity, and confirm the LTE-A downlink reference signals effectiveness and practicality.
DSP Implementation of DMRS in PUSCH within TD-LTE-A System
Authors: Zhang Ai Ping , Zhang De Ming , Wang Dan , Zhou Yang
Published: March 2014

Demodulation reference signal plays a very important role in channel estimation and equalization in the receiver within the LTE-A system. First, this paper provides the various formulas that generate the demodulation reference signal (DMRS) in the physical uplink Shared channel (PUSCH), and then presents the design flow chart for programming realization. After that, Using TI(Texas Instruments corporation) TMS320C6455 DSP, it generates DMRS in PUSCH by software programming. Finally, this paper specifically describes the realization of division and exponentiation because it is the hardest and most time-consuming operation in the DSP implementation. The method written in this paper could be applied to TD-LTE-Advanced system test platform development and testing techniques.
Design of Separating Screen for Tenebrio molitor L
Authors: Wang Li Ping , Guo Yi , Fu Gang , Dong Jiang Hui
Published: March 2014

In order to meet requirement of separation screen for tenebrio molitor L, one separation screen was designed, this product has a good separation, simple structure, low cost, high efficiency, easy operation. Based on the analysis of design requirement of separating screen for tenebrio molitor L, overall structure, working principle and the main structural parameters were determined. The kinematic mathematical model of shaking mechanism was established by using the vector method. The kinematics analysis of shaking mechanism was conducted by using Matlab, the displacement, velocity and acceleration curves of sieve box were obtained. The performance test showed that the prototype machine can screen different instar tenebrio molitor L and frass, this machine has good screening effect. In addition, machine design and performance are able to meet the design requirements.
Improved Gradient Projection Algorithm for Compressed Sensing
Authors: Yan Hai Xia , Liu Yan Jun
Published: March 2014

In order to improve efficient of compressed sensing image reconstruction, an improved gradient projection algorithm of compressed sensing theory is proposed. In improved Gradient Projection algorithm, the pursuit direction is updated by search at negative gradient direction, thus the gradient direction is a single direction, because the traditional gradient projection algorithm searching at alternating searching method ,the efficient of gradient projection algorithm is higher than the traditional gradient projection algorithm, Experiment results show that, compared with the GPSR algorithm, the IGPSR algorithm improves the signals reconstruction accuracy, improves PSNR of reconstruction signals, and exhibits higher robustness under different noise intensities.
An Improved Method for Remote Sensing Image Compression
Authors: Xue Shuai , Dai Qing
Published: March 2014

Consider of the characteristics of quantity of remote sensing image data, in order to transport and storage them easily, the text analysis and research some compression technology about remote sensing image, and make compares among them, then propose an optimized method based on integer wavelet transform about image compression. This method encodes the lowest frequency sub-band and high.
Algorithm for Improving Image Edge Detection Based on Directional Wavelet Transform
Authors: Wang Xiang Shi , Liu Gui Feng
Published: March 2014

The information of the image edge is the important parameters in identifying, segmenting and compressing image. The performance of the algorithms about edge image algorithms closely relies on the noises generally included in the image. The main goal of this paper is firstly to eliminate the false edges by the median filter and extract the information of the edge image by directional wavelet transform. Application on image data shows that the proposed tool can enhance the direction edge images which is fused to form the complete image edge.
Shadowing-Price Based CRN Non-Cooperative Game Power Control Algorithm
Authors: Li Zhi Yong , Jiang Wei Heng , Feng Wen Jiang , Liao Yu Xiang
Published: March 2014

In this paper, based on the concept of interference temperature and shadowing-price, we proposed a shadowing-price based non-cooperation game power control algorithm. The algorithm can be implemented distributed and obtain the optimal system performance as the centralized power control algorithm, it also maintains the interference to primary users below a certain threshold.
Research of Improved Minnaert Topographic Correction Model and Application
Authors: Wu Yan Zhen , Wang Zuo Cheng , Yang Fu Pin , Luo Xiao Bo
Published: March 2014

The topographic correction of remote sensing images is an important factor to improve the precision of quantitative remote sensing data processing. In the existing topographic correction models,the Minnaert model is the only model based on the assumption of non-Lambertian.the Minnaert coefficient K is an effective factor for the correction results. To improve the correction accuracy,we correct the image in accordance with the slope grading idea to select different areas from the image, then use different k values in different slope regions.In this paper, the topography correction is efficiently corrected by SCS model, Minnaert model and improved Minnaert model, based on HJCCD image and the corresponding DEM in Heihe . The results showed that the improved Minnaert model can eliminate the effect of topography better than other methods and can be widely used.
A Speech Enhancement Algorithm Based on the “Music Noise” Analysis
Authors: Ma Ying , Zhang Xiao Hua , Xing Bing Lei
Published: March 2014

Interference is inevitable process of voice communication will be from the surrounding environment and transmission medium noise, communication equipment, electronic noise, and other speakers. These interference makes the voice receiver received for noisy speech signal with noise pollution. According to the traditional spectral subtraction residual musical noise is too strong, the weighted processing is reduced and the power spectrum correction, spectral subtraction method was adopted to improve the traditional. According to the analysis of real speech data collection simulation, improved spectral subtraction can effectively reduce the musical noise, can satisfy the requirement of speech enhancement.
Filtering Algorithm for Removing Image Impulse Noise
Authors: Sun Li Hua , Zhao En Liang , Yu Bao Yang
Published: March 2014

The paper is devoted to put forward an effective algorithm for removing image impulse noise by improving the traditional median filter. The following approaches are developed in this paper. First, in a small area all the pixels are separated into signal pixels and suspicious noise pixels making use of the extremum and median filtering algorithm .Then suspicious noise pixels are further identified the signal pixels and noise pixels around pixels. If a pixel value is a noise pixel, it will be processed by median filter. A signal pixel will retain the original pixel value. The numerical experiments show that compared with traditional median filter , the details and edge information of the original image are retained when the new algorithm is used , Comparing with extremum median filter algorithm, the ratio of peak signal to noise can increase up to 2.94 at most. As a result, it is an effective algorithm for image denoising that can eliminate impulse noise in the image effectively.
Study of Dynamic Simulation on Driving System and Modeling Motor for Electric Drive Application of Armored Vehicles
Authors: Liao Zi Li , Yang Gui Bing , Li Jia Qi , Zhao Ming
Published: March 2014

Establish an IPM(Interior Permanent Magnet) motor mathematic model based on saturated inductance parameters. This model aimed at the traction motor of electric drive system of a certain armored vehicle. Driving control system was established on SIMULINK platform, and the consequence was analyzed.
Dynamic Spectrum Sensing Game in De-Centralized Licensed-Band Cognitive Networks
Authors: Jia Yun , Zhang Zhong Zhao , Tan Xue Zhi
Published: March 2014

In the cognitive network, the cognitive users are allowed to utilize the licensed bands without interference to primary user. The spectrum sensing performance of cognitive user is important for protection to primary user. In this paper, we investigate the spectrum sensing problem and joint game theory to study the competition. The spectrum sensing game is applicable to more than one cognitive user who competes for the licensed channel as a game. In this model, the cognitive users use the energy detection to sense and make decisions independently. The probability of false alarm and detection are considered, the spectrum sensing time and the detection threshold is optimized to maximize the throughput of the cognitive user. Otherwise, to provide sufficient protection to the primary user and reduce the interference which is caused by the competition between cognitive users, a punishment mechanism is proposed. The simulation results show that significant improvement of cognitive user can be achieved through optimizing the detection elements and adjusting the strategies in the spectrum sensing game.
3D Reconstruction of Rock Mass Based on Point Cloud Library
Authors: Xiao Jun , Leng Xiao Xu , Li Deng Yu
Published: March 2014

The Point Cloud Library (PCL) is a good tool for point cloud data processing. In this paper, a method of 3D reconstruction for rock mass based on PCL is introduced, where hardware choosing, parallel computing, PCL, and edge extraction are analyzed and used in order to realize a better reconstruction effect, including both precision and speed. The reconstruction results can be used in engineering calculation.
Analysis on Technology Framework of 3D Virtual Fitting Based on Network
Authors: Huang Can Yi
Published: March 2014

This paper first introduced the demand situation and difficulties which virtual fitting technology met under the environment of network, then gave an discussion of how to realize the technology framework of virtual fitting system, and this paper Summarized that the technology can be mainly divided into several aspects: 3D body measurement technology, digital human model fitting and 3D virtual fitting simulation etc.
Serv-U Based Audio Data Transmitting Management System on Broadcasting Stations
Authors: Duan Zhi Ying , Cao Yi Zhen
Published: March 2014

With the development of digitalization and networking, traditional audio data sharing (for example, file sharing, simple FTP service) can no longer meet the ever-increasing demands of users. Due to the special requirement for broadcasting station security, we have undergone a second development of Serv-U FTP server, which has outstandingly high safety. At the same time, we can make interactive permission among broadcasting station user system. Based on above analysis, we develop a fully functional broadcasting station audio data transmitting management system. The experimental results show that this system has fully secured on the client-side login and provides convenience for user permission, with high practicability.
Research of Privacy-Preserving for Graph Mining of Government Affairs Office Automation Systems
Authors: Zhang Feng Qin , Dong Liang , Zhang Shui Ping , Li Xiao Qing , Chen Gui Rong
Published: March 2014

Against the problems of privacy leakage from the graph of workflow structure of the government affair OA systems, the paper puts forwards a privacy preserving model which is effective in the protection of degrees and workflow amounts of the nodes in the government business workflow graph. For further implementation, it proposes a new unified anonymization algorithm oriented the actual nodes in the workflow graph based on the ides of social network anonymization and a new method of random weights disturbing to prevent the important nodes in the graph from being recognized by attackers and protect the information of workflow amount in the government and public institutions. At the end of this paper, the model has been verified by two experimentations that proves its feasibility and usability.
Study on the Optimization of Bending Frequencies of Railway Vehicle Car Body
Authors: Hu Hua Chen , Gong Dao
Published: March 2014

Applying light structure of railway vehicle car body is the effective way to reduce energy consumption and the dynamic forces between rail and wheel. However, light structure will directly reduce the modal frequency of car body and thus increases the possibility of resonant vibration. It is known that increasing the modal frequency of a fully-equipped car body through structure optimization is barely effective. In this paper, three equations to evaluate the bending frequency of a fully-equipped car body are proposed firstly, then an effective way to enhance the bending frequency of a fully-equipped car body is presented, i.e. elastically suspended the equipment under car body chassis. Also the relations between the suspended mass and the bending frequency are given and validated by means of finite element analysis (FEA).
A Biologically-Inspired Research on Immune System against Internet Worm
Authors: Guo Min
Published: March 2014

Based on the algorithms of negative selection and clone selection, this paper sets out to propose a new design of internet worm detector, inspired by the biological immune system. It describes the working and algorithms of immune systems against Internet worms and comes up with diagrams.
A Research on KVM-Based Virtualization Security
Authors: Liu Di , Zhang Yun Yong , Zhang Ni , Hu Kun
Published: March 2014

Cloud computing is one of the most significant shifts in recent years. Cloud computing development brings the revolution to todays business models. The topic of cloud computing has become a hot topic in the ICT industry. Virtualization techniques as a symbol of cloud computing evolve fast. For example, KVM is a typical virtualization solution. However, its security issues aroused by the characteristic of open source may hinder subscriber to employ it. In order to address current security issues in KVM virtualization environment, this paper deeply analyzes KVM hypervisor and VM security problems, proposes KVM-based virtualization security framework, and discusses its related security mechanisms. Also, Linux OS built-in security mechanisms including SELinux and cgroups are discussed. By investigate Hypervisor, VM, and external management tools connection security issues, this open source-based virtualization ecosystem can be protected better than ever.
The Construction of Colleges and Universities Library Unified Information System Based on Guangxi Regional Features
Authors: Wei Ying
Published: March 2014

Through the integrated application of Library information system and campus culture of Guangxi colleges as well as the research of Guangxi colleges serving developments of China-ASEAN, and Guangxi Beibu Gulf economic region, this paper provides solution of integrated construction of college campus culture and library information system on informatization condition. In the system of college campus culture construction based on perspective of Gungxi colleges, college library information resource is used as medium to integrate into cultural connotation serving regional economy on the basis of knowledge architecture, with applications of Internet, computer telecom integration technology as well as IVR and TTS technology, communication tools commonly used by college students and teachers are adopted as informatization approaches, concept identification system, activity identification system, visual identification system, subject and specialty service system, environment and culture planning system and other unified information general culture systems are established, and e-mail, voice message, short message, WAP, real time communication, web, VoIP and other campus culture interactive measures are realized. The reconfigurable analysis of aggregate diagnosis flow proves the integrated construction of campus culture and library unified information is feasible.
Characteristic of Corrosive Damages about Aircraft Structures in Service
Authors: Sun Ji Ku , Cao Zong Jie , Sun De Jian , Chen Yi
Published: March 2014

In engineering practices, aircraft structures have been damaged due to the structural corrosion, the corrosive problem of aircrafts needs to call high attentions for researchers because aircraft structures are composed of metals and compound metals. In this paper, corrosion problems and structural reliability of aircraft structures are discussed. Corrosion morphology and mechanism of aircraft structures are analyzed based on metal corrosion theory. The characteristics of the various types of corrosions of aircraft structures have been enumerated. The effect of environments in corrosion process of aircraft structures is studied. The law of corrosion developed at aircraft structural parts or materials is summarized. This research contributes to improving professionals capacity of corrosion prevention and control. It also provides technical support for aircraft maintainers.
Simulation Technology of Light Effect Based on Catia and Workbench Software
Authors: Hu Hong Xia
Published: March 2014

The computer simulation design technology plays a very important role in the construction of large venues, which can not only improve the quality of building construction but can provide information technology reference for the construction process. In the process of constructing sports venues, the lights of the stadium cannt produce vertiginous effect due to the need of indoor sports activities. By applying computer simulation technology, using catia software to build model for the venue and taking advantage of workbench software to make simulation for the light in the venue, this paper obtains the light effect of the stadium under the function of three kinds of tubes and the tubes of different intensity. Thus, it provides the technical reference for the application of computer information technology to the construction of sports venues.
Japanese Corpus Build Based on the Technology of Computer to Work and Applications
Authors: Pan Na , Yu Xiao
Published: March 2014

Computer work is a combination of human and computer networks, software and hardware, and other related technologies for collaborative work methods. Technical support group members working computer system work together to share resources and information in an environment based together to accomplish a task applications. This paper describes a computer-based technology to build collaborative work the way the Japanese corpus, characteristics and significance, as well as teaching and research application.
Security Problem Modeling of Database Connection Pool
Authors: Huang Bao Hua , Wang Tian Jing , Ma Yan , Jiang Feng
Published: March 2014

Connection pool is widely used in 3 tiers Web system based on database. It can improve performance of the Web system, but brings security problem to the system at the same time. The formal model of 3 tiers Web system is proposed, and the root of security problem, absence of subject transmission from Web application to database management system, is found from the model. In addition, several methods to solve the security problem faced by database connection pool in 3 tiers Web system are introduced or proposed.