bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Nonlinear Equations
Authors: Zhang Xiao Feng , Sui Gui Fang
Published: September 2013

A quantum-behaved particle swarm optimization algorithm is presented in this paper for solving nonlinear equations. The positions of particle are coded by probability amplitudes of qubits that are updated by quantum rotation gates in this method. The corresponding real number solution at specified interval can be extracted by this algorithm for solving nonlinear equations. Compared to real traditional method, the simulation results show that this algorithm is more accurate and effective.
The Difference Supervision Theory of Engineering Registration Workers Based on Bayesian Inference
Authors: Feng Zhi Jiang , Liu Jian Cheng , Wang Li Min , Zhang Hong Liang , Zhang Ping
Published: September 2013

At present, during the process of architecture market management information, it is necessary to use the difference supervision theory, which can improve the efficiency of the supervision, save the supervision resource and reduce the supervision cost. According to the research status of the difference supervision theory, Bayesian inference theory is proposed to verify an engineering registration worker whether an affiliated worker or not. And a example is presented.
Uniqueness of Q-Difference Polynomials of Meromorphic Functions
Authors: Zhang Ke Yu
Published: September 2013

In this paper, Applying the theory of Nevanlinna, we investigated uniqueness problem of difference polynomial of meromorphic functions and obtained uniqueness theorems of meromorphic functions , which Extended and improved the results of literature [5].
The Analysis on the Construction of CSCW System and Group Collaborative Mode
Authors: Wang Zhong Wei , An Yan
Published: September 2013

With the development and popularization of intranet/Extranet and Internet, it provides vast development space for manufacturing industry. The computer support cooperative work such as collaborative design and collaborative manufacturing based on web is presented under the background. Computer Support Cooperative Work (CSCW) is defined that in the environment supported by computer technology, a groupware cooperatively work to accomplish a common task. The paper is focus on the construction of CSCW system and group collaborative work mode in CSCW. The group collaborative model of CSCW should be intensified further to abstract the features of group collaboration and direct the research on collaborative work technology.
Control of DFIG Based on Per-Unit System on RTDS
Authors: Hu Yu Lan , Wang Yi , Sun De Xing , Ding Tao , Qian Luo Jiang
Published: September 2013

The paper introduces modeling of Doubly-fed induction machine (DFIG) on orthogonal dq rotating coordinates based on per-unit value system and designs control part on space-vector-orientation, for which relative modules, in RTDS (Real time digital simulator) library, are introduced. Whole single-machine DFIG wind farm is built on RTDS and the maximal wind energy tracking is realized. Simulating results show control is correct and effective.
A Summary of Comparative Study of Software Reliability
Authors: Peng Chong , Meng Yu Jie , Lan Li Yun , Wang Lun
Published: September 2013

With the integration of informatization and industrialization, the application of software is getting more and more extensive and plays a powerful role in many facilities. At the same time, Software failures cause tremendous losses, thus ensuring the reliability of software becomes increasingly important. The basic conceptions of software reliability are put forward in this paper, and comparative analysis on the research status at home and abroad are studied. Meanwhile, the perspective of the further progress of software reliability is made.
Improvement of KEA Based on Lexical Chain
Authors: Li Ze Feng , Zhao Xiang Hui , Yi Jin , He Bin
Published: September 2013

Keyphrases are very useful and significant for information retrieval, automatic summarizing, text clustering, etc. KEA is a traditional and classical algorithm in keyphrase automatic extraction. But it is mainly based on the statistical information without considering the semantic information. In this paper, We propose a method which combine semantic information with KEA by constructing lexical chain that based on Regets thesaurus. In our method, the semantic similarity between terms is used to construct the lexical chain, and then we use the length of the chain as a feature to build the extraction model. The experiment result shows that the performance of the system has a big improvement compare with the KEA.
The Implementation of Virtual Studio Laboratory Based on Web
Authors: Zhao Ya , Liu Xian Mei , Tian Feng , Tian Feng
Published: September 2013

The studio has extraordinary meaning of the personnel training of the specialty. According to the actuality and application demand of colleges and universities, we plan to construct a virtual studio laboratory. The paper introduces the system functional components of virtual studio laboratory, elaborates the realization of technologies of virtual studio laboratory, analyses the virtual studio laboratorys application meaning in teaching in the end. Appling the virtual studio laboratory in teaching, we can acquire well teaching effect. The virtual studio laboratory has definite promotional value, can be used in the education and teaching of film and television producing extensively.
Human Factor Analysis Model of Civil Aviation Incidents Based on Bayesian Network
Authors: Zhang Ming Ming , Wang Yan Yang , Luo Min , Tang Wen Zhong
Published: September 2013

To generate a model which can provides detailed data analysis supportive in aviation incident analysis, a human factor analysis model based on Bayesian network theory is established. This model is a Bayesian network which uses three layers nodes to represent causality between human factors and incidents. The specific impact degree of human factors on aviation incidents is represented by conditional probability parameters of the model. The model structure, constructed by combing hill-climbing search method with CH score function, coincides with the actual data. This model is useful in aviation incident analyses and deductions.
The Super-Exponential Algorithm of Blind Equalization for Time-Varying Channel Based on Basis Expansion Model
Authors: Wang Cheng , Yang Bin
Published: September 2013

Existing algorithms of blind equalization for time-varying channels are slow in convergence, easily interfered, and hard to pinpoint the location of pulsation in the frequency domain. In this paper we present a new blind equalization method that addresses the aforementioned issues. The new solution combines super-exponential algorithm with carrier frequency-offset estimation for time-varying channels. The time-varying channel taps described by the complex exponential basis expansion model (CE-BEM) are expressed as a superposition of time-varying complex exponential bases with time-invariant coefficients. We first employ a super-exponential algorithm to remove the inter-symbol interference caused by time-invariant coefficients. Then we estimate channel pulsation from equalized signals with a carrier frequency-offset estimation algorithm. Compared with existing ones, our solution converges faster with lower inter-symbol interference and easier specification of the pulsation in frequency domain. Simulation results prove the efficiency of the proposed algorithm.
WLVT: A Static Wear-Leveling Algorithm with Variable Threshold
Authors: Yang Yuan Hua , Xu Xian Bin , He Shui Bing , Zhen Fang , Zhang Yu Ping
Published: September 2013

NAND flash memory has been successfully employed in storage system due to its advantages such as performance, resistance, and capacity. NAND flash memory based solid state disk (SSD) has started to replace disk in numerous environments. However, the poor endurance offered by these SSDs continues to be their key shortcoming. To improve SSD endurance, we propose a static wear-leveling algorithm with variable threshold (WLVT). In contrast with traditional algorithm with fixed threshold, WLVT adjusts the value of threshold, so that each block can simultaneously reach the erasure times that the manufacturer gives when life of SSD is over. Therefore, available erasure time of each block will be fully utilized when SSD fails. Experimental results show that the endurance of the SSD is significantly improved.
Applications of Multi-Objective Genetic Algorithm in Optimizing Steering Performances for Submersible
Authors: Yang Zhuo Yi , Pang Yong Jie , Ma Shao Lian
Published: September 2013

Multi-objective arithmetic NSGA-II based on Pareto solution is investigated to deal with integrated optimal design of speedability and manoeuvre performances for submersible. Approximation model of resistance for serial revolving shape is constructed by hydrodynamic numerical calculations. The appraisement criterions of stability and mobility are calculated from linear equation of horizontal movement by estimating hydrodynamic coefficient of submersible. After optimization, the scattered Pareto solution of drag and turning diameter are gained, and from the solutions designer can select the reasonable one based on the actual requirement. The Pareto solution can ensure the minimum drag in this manoeuvre performance or the best manoeuvre performance in this drag value.
Image Feature Extraction of Moment of Inertia Based on Otsu Threshold Segmentation
Authors: Liu Qing , Zhao Li Ming , Zhang Li Jun
Published: September 2013

In order to better extract image feature and recognition, a novel feature extraction algorithm of the binary image processing using Otsu combined with normalized moment of inertia (NMI) is put forward. Firstly, the image is processed into binary image and the target area is effectively segmented utilizing Otsu algorithm based on the criteria of maximal variance between-class , secondly, the NMI feature of the binary image is extracted, and finally, the extraction NMI feature is used in image recognition. Experimental results show that NMI feature of the binary image have the ability of anti-geometric distortions (translation, rotation and scaling, TRS), and anti-brightness distortions, the novel method have characteristics of simple extraction approach, little extraction parameter, easy implementation, and strong robustness.
New Convergence of Relaxed Parallel Multisplitting Method for the H-Matrix
Authors: Zhang You Lin , Zhang Li Tao
Published: September 2013

Relaxed technique is one of the main techniques for Improving convergence rate of splitting iterative method. Based on existing parallel multisplitting methods, we have deeply studied the convergence of the relaxed multisplitting method associated with TOR multisplitting for solving the linear system whose coefficient matrix is an H-matrix. Moreover, theoretical analysis have shown that the convergence domain of the relaxed parameters is weaker and wider.
Application of Genetic Algorithm and Neural Network in Construction Cost Estimate
Authors: Feng Guang Li , Li Li
Published: September 2013

Genetic algorithm optimizing BP has been proposed to aim at handling locality minimum and low convergence speed. The method based on analyzing the basic fundamental states that how to use genetic algorithm to improve the ability of BP. After optimizing, the GA-BP model has been built up. The result of GA-BP model can get lower forecast error and iterations. For these reason, GA-BP model is appropriate for construction cost estimation.
Calculation Error's Correction of Three-Component Geomagnetic Field's Marine Survey
Authors: Zhu Xing Le , Xiao Chang Han , Yao Zhen Ning
Published: September 2013

In order to eliminate calculation error, wavelet transform is used to remove noise when navigational data is used to calculate truth-value of three-component geomagnetic field. By introducing Euler attitude rotation matrix, the computing value of geomagnetic vector is decomposed by multi-scale wavelet transform in each frequency. The high-frequency noise is removed and the accurate value of geomagnetic field can be got by rebuilding low-frequency component. Simulation results indicate that the calculated value is identical with setting value and has high precision, which means the method has great applied importance and instructional significance for practical measurement of marine three-component geomagnetic field.
Audio Retrieval Based on Chinese Keyword Search in Relational Databases
Authors: Zhu Bo Yan , Liu Guang , Zhu Liang
Published: September 2013

In this paper, we propose a new method based on Chinese keyword search to select the WAV or MP3 files in audio post-production. First, we listen to each file and label it with Chinese characters, and then classify and store the files in a relational database system. Then, we use the techniques of Chinese keyword search to match query characters and the tuple characters quickly, and to compute similarities between the query and candidate tuples. For the characteristics of Chinese keyword search, we present a ranking strategy and an algorithm to refine the candidate tuples resulting from the first round matching, and finally get top-Nresults of audio files. The experimental results show that our method is efficient and effective.
Unsupervised Multi-Scale Fuzzy Clustering Algorithm Application in the Evaluation of Soil Fertility
Authors: Cao Li Ying , Yu He Long , Ma Li , Chen Gui Fen
Published: September 2013

This paper adopts statistical learning theory and optimization theory to the analysis of the algorithm theory, probe into its theoretical foundation. The existing theoretical analysis on the basis of the establishment of clustering model algorithm design, code realization and finally a lot of different data set of test, choose soil data as a test database, will be in the database on a large number of data mining experiment to verify the performance of the proposed algorithm. The test result feedback back will further deepen the theoretical research or correct theory already mistakes, new theory and will continue to guide experiments, both mutual promoting common development.
Denoising Analysis on UWB Communication in Mine Tunnels
Authors: Zhang Hong Wei
Published: September 2013

In the EMC interference environment of mine, we found the EMC is white noise and pulse interference. The UWB signal pulses is short and signal power spectral density distributed in wide band is very low. This article mainly proposes a de-noising method of Wavelet transform modulus maxima in signal band, focused on the traditional low-pass filter that can only remove the outside-band noise. Simulation results show that the scheme can effectively retain the signal singularity based on information to achieve obvious noise reduction
Velocity Control of Unmanned Helicopter Based on Fuzzy-PID
Authors: Chen Xian Xiang , Liu Ying , Hu Xiong Wen , Qian Yi , Wang Jin Hua
Published: September 2013

The fuzzy-PID control approach was used on the velocity control of the unmanned helicopter. Furthermore, a novel parameter self-tuning method was presented that the parameters of the PID controller were self-tuned based on the parameters of the last control period according to the deviation and its variation ratio, adequately considering the control information of the last control period. The increments of the PID parameters were calculated by the fuzzy inference system. Matlab simulation and the hardware-in-loop simulation were performed, the simulation results verified the feasibility and the effectiveness.
An Application of MATLAB in Practical Problems
Authors: Xie Hui Yang , Bi Qiu Xiang
Published: September 2013

This article gives an example of using Matlab to solve practical problems
Algorithm of Digital Watermark Based on Wavelet
Authors: Lai Si Yu , Wang Juan
Published: September 2013

Analyze a human visual model based wavelet domain digital watermark algorithm and improved it. First conduct multi-level wavelet decomposition on original image and modify medium frequency coefficient, and then adapt the algorithm to embed the watermark into the source image. The experiment shows that the watermark embedded image enjoys better imperceptibility and robustness to JPEG compression, add gaussian noise, contrast enhancement e.t. traditional image processing operations.
Based on Local Structural Similarity Image Denoising Algorithm
Authors: Zhou Ze Hua , Zhang Wei Tang
Published: September 2013

The image is a kind of important information source, through the image processing can help people understand the connotation of the information. However, the image in the process of generation and transmission by all kinds of the noise, the information processing, transfer and storage caused tremendous influence. So the image denoising always all is the computer image processing and computer in the vision of a research focus. Proposed an algorithm of image denoising based on the local structural similarity. Which utilizes the redundant information, and by establishing a similar function to the search area calculation of point and to pixels similarity of weights, and then to the search area at the weighted, obtained the last to pixels gray value varies. This algorithm in texture, of the edge information denoising ways than the current many denoising algorithm are excellent.
The Key Management Scheme For the WMSN-Based Post-Disaster Road Monitoring System
Authors: Sun Xiao Ling , Sun Xu Guang , Li Shan Shan , Chen Fu Ming , Yang Qiu Ge
Published: September 2013

In order to obtain the availability of roads and bridges after earthquake, a real-time monitoring system is build by wireless sensor networks. And a new key management scheme is proposed to protect the safety of the system. The scheme is based on the polynomial and the Chinese Remainder Theorem, divided into three stages which are system initialization, key establishment, node join and revocation. Analysis shows that the new scheme greatly reduces the storage space and the energy consumption of calculation and communication of node. It is suitable for post-disaster road monitoring system.
A Neural Network Based on Canonical Correlation for Multicollinearity Diagnosis
Authors: Nong Ji Fu
Published: September 2013

We review a recent neural implementation of Canonical Correlation Analysis and show, using ideas suggested by Ridge Regression, how to make the algorithm robust. The network is shown to operate on data sets which exhibit multicollinearity. We develop a second model which not only performs as well on multicollinear data but also on general data sets. This model allows us to vary a single parameter so that the network is capable of performing Partial Least Squares regression to Canonical Correlation Analysis and every intermediate operation between the two. On multicollinear data, the parameter setting is shown to be important but on more general data no particular parameter setting is required. Finally, we develop a second penalty term which acts on such data as a smoother in that the resulting weight vectors are much smoother and more interpretable than the weights without the robustification term. We illustrate our algorithms on both artificial and real data.
A Direct Filling Algorithm of Isogram in Complex Boundary
Authors: Huang Lin Na , Liu Guang Zhong
Published: September 2013

On basis of summarizing the existing isogram filling algorithm, this paper puts forwards a direct filling algorithm of isogram in complex boundary. Compared with the point-by-point scanning method and algorithm of area filling, this new algorithm has no necessity not only in point-by-point calculation of interpolation, but also in tracing inclusion relation between equivalent areas and determination areas, which makes filling speed faster. It is proved with practice that the new method can fill isopleth map in milliseconds.
Harmony Search Algorithm Based on Cloud Theory
Authors: Wang Li Fu , Kong Zhi , Wang Xin Gang
Published: September 2013

The parameter bw is a distance bandwidth between 0 and 1 in harmony search algorithm, which helps the algorithm in finding globally and locally improved solution. In this paper, a new harmony search algorithm is proposed in order to improve the convergence speed and the global search algorithm of the harmony search algorithm. The parameter bw is adjusted based on cloud theory in this new algorithm. The new algorithm is tested on some benchmark functions and the results are compared with the result of the traditional harmony search. Experimental results indicate that the new harmony search algorithm has a good performance in the global search ability and convergent speed.
Medium Access Control Layer Design and Simulation for 802.16 System
Authors: Cheng Yu , Zhao Hong Wei , Li Yu Cui , Pei Shi Hui
Published: September 2013

In order to analyze transmission performance of broad band wireless communication system based on 802.16 protocol, address the key issues of QoS scheduling algorithm, and network congestion, etc, we present our design of WiMAX medium access control (MAC) layer based on 802.16 protocol in this paper. The implemented design comprises the service-specific convergence sub-layer (CS), the MAC common part sub-layer (CPS), a call admission control mechanism, and a scheduler. In the next simulation experiment, we tested the throughput and average delay of the system which we designed under the conditions in different time or number of clients. The design and simulation had provided a platform and foundation for further to improve the efficiency of bandwidth management algorithm, scheduling algorithm, QoS management, and enhancing the performance of WiMAX systems.
Vision Algorithms for UAVs Aerial Refueling Using Probe-Drogue
Authors: Xu Zhen Dong , Wang Ya Ming , Liu Yan Chun , Wan Chao Jiang
Published: September 2013

A critical limitation for the current use of Unmanned Aerial Vehicles (UAVs) is represented by the lack of aerial refueling capabilities. This paper describes the results of an effort on the modeling of the refueling soft hose realized by FEM techniques and on the algorithms of the docking control. The algorithms of the docking maneuver is based on Machine Vision (MV).The simulation results with a vision technique capable of estimating the drogue position is presented. Simulation results suggest the proposed algorithm performs the same accuracy with extremely fast speed compared with the current employed algorithms.
A Study of Negative Association Rules Mining Algorithm Based on Multi-Database
Authors: Peng Xu Shan , Cheng Ping , Wang Mo Gei
Published: September 2013

the mutual exclusion relationships among data items are reflected by negative association rules, whitch is very important on the decision-making analysis. In the last several years, negative association rules are frequently researched, while the study object of it is single mining of database now. With the development of database technology, multi-database mining is more and more important. On the basis of analyzing the related technology, research status and shortage of present negative association rules mining , the selecting rules, weighted synthesis and algorithm are discussed on multi-datobase.
Trajectory Optimization Applied to Space Rendezvous
Authors: Song Xu Min , Lin Qi
Published: September 2013

The trajcetory plan problem of spece reandezvous mission was studied in this paper using nolinear optimization method. The optimization model was built based on the Hills equations. And by analysis property of the design variables, a transform was put forward , which eliminated the equation and nonlinear constraints as well as decreaseing the problem dimensions. The optimization problem was solved using Adaptive Simulated Annealing (ASA) method, and the rendezvous trajectory was designed.The method was validated by simulation results.
Application of Ant Colony Algorithm Based on Optimization Parameters in Equipment Material Transport
Authors: Li Xi , Chen Li Yun , Liu Ai Zhen , Liu Sen
Published: September 2013

In order to solve the path selection problem in the transport of equipment and materials, while improving the quality of solutions, this paper uses ant colony algorithm based on optimization parameters to achieve. Through genetic algorithm to solve the parameters of ant colony algorithm, resulting in a better performance parameters. The experimental results show that ant colony algorithm based on optimization parameters has been improved on path length and computation time than the traditional ant colony algorithm.
Accuracy Analysis of Positioning Method for Fusion GPS Pseudo-Range and Continuous Wave Radar
Authors: Zhang Hui Juan , Wei Chao
Published: September 2013

Continuous wave (CW) radar and global positioning system (GPS) is the main equipment of trajectory measurement in range. Based on range test background, propose a method to fuse GPS pseudo-range and CW radar range to provide complete trajectory positioning parameters, effectively reduce the impact of the systematic error of the measuring element to improve positioning precision of aircraft orbit solving. Through research on the measurement principle and the practice calculated data is given in this paper. Finally, several famous practical examples and simulation results are presented to illustrate our method efficiently.
Gene Prediction Based on One-Dimensional Image Segmentation
Authors: Wang Fei Yu , Zheng Zi Wei , Li Wei Hua
Published: September 2013

In the current study, using methods of signal processing to manage gene prediction has attracted great attention. At first, the voss mapping which can map the DNA alphabetic sequence into the numerical sequence and the 3-base periodicity of exon are introduced. Then a fixed-length sliding window approach and its feasibility are analyzed. It can be proved that when two exons are very close, gene prediction by only setting a threshold to the spectrum could not have good effect. To overcome this shortcoming, a new method based on one-dimensional image segmentation is proposed. Finally, simulation shows the short introns are culled commendably. Two evaluation indices are also introduced to demonstrate the effectiveness of this method.
Research on Node Localization Algorithm in WSN Basing Machine Learning
Authors: Chen Qing Zhang , Chen Yu Zheng , Fan Cong Ling , Yang Fan , Wang Peng , Lei Yan Jing
Published: September 2013

Machine learning uses experience to improve its performance. Using Machine Learing, to locate the nodes in wireless sensor network. The basic idea is that: the network area is divided into several equal portions of small grids, each gird represents a certain class of Machine Learning algorithm. After Machine Learning algorithm has learnt the parameters using the known beacon nodes, it can classify the unknown nodes location classes, and further determine their coordinates. For the SVM OneAgainstOne Location Algorithm, the results of simulation show that it has a high localization accuracy and a better tolerance for the ranging error, while it doesnt require a high beacon node ratio. For the SVM Decision Tree Location Algorithm, the results show that this algorithm is not affected seriously by coverage holes, it is suitable for the network environment of nonuniformity distribution or existing coverage holes.
Face Recognition Algorithm Based on Kernel Collaborative Representation
Authors: Zhang Liang , Dong Ji Wen
Published: September 2013

Aiming at solving the problems of occlusion and illumination in face recognition, a new method of face recognition based on Kernel Principal Components Analysis (KPCA) and Collaborative Representation Classifier (CRC) is developed. The KPCA can obtain effective discriminative information and reduce the feature dimensions by extracting faces nonlinear structures features, the decisive factor. Considering the collaboration among the samples, the CRC which synthetically consider the relationship among samples is used. Experimental results demonstrate that the algorithm obtains good recognition rates and also improves the efficiency. The KCRC algorithm can effectively solve the problem of illumination and occlusion in face recognition.
Kernel Methods and its Application in Wavefront Reconstruction
Authors: Tan Zhi Ying , Chen Ying , She Kun , Feng Yong
Published: September 2013

Kernel methods can effectively deal with the nonlinear problem. The methods not only can be used for data de-noising, also be effective for classification problems. Using kernel PCA method, we provide a more precise Zernike expansion, which can apparently improve the reconstruction accuracy. At the same time, explore learning the kernel function by the alignment. We verify that the alignment value and recognition rate is proportional relationship.
Application of Two Unknown Quantities and Three Points Interpolation in the Atmospheric Transmittance of Infrared Radiation
Authors: Sun Hong Hui , Li Min , Song Jian She
Published: September 2013

The atmospheric transmittance of infrared radiation is the important parameter on the studies of infrared radiation, the Computation of atmospheric transmittance is professional and complicated and it is inconvenient for the application of engineering and technology. In order to gained the atmospheric transmittance of infrared radiation rapidly when the height of infrared apparatus place and the down range distance between infrared apparatus and infrared object are changed, Lagranges two unknown quantities and three points interpolation is used to computer the interpolations of the atmospheric transmittance of infrared radiation by the MODTRAN software, then the available data of atmospheric transmittance are gained. The experimental results show the interpolation method is effective and valuable in engineering applation.
Gear Fault Diagnosis Method of Intelligence Based on Genetic Algorithm to Optimize the BP Neural Network
Authors: Fang Jie
Published: September 2013

The work of the gear transmission is very complex, and its failure in the form and features tend to show non-linear mapping. Fault signal is often submerged in conventional vibration signal and noise, it is not easy using traditional signal processing methods to extract fault features which in a difficult to gear fault diagnosis. This paper based on the genetic algorithm to optimize the structure of the BP neural network model for the intelligent diagnosis system which is used in gear fault diagnosis.The experimental results show that this method can be effectively used for the diagnosis and identification of the gears common fault type.
The Calculation of the Magnetic Field Produced by an Arbitrary Shaped Current-Carrying Wire in its Plane
Authors: Yu Zhou , Xiao Chang Han , Wang Huan , Zhou Yao Zhong
Published: September 2013

Instead of performing the integration explicitly to calculate the magnetic field from an arbitrary shaped wire, an improved method was proposed. The magnetic field generated by a straight line segment carrying steady current was calculated based on the Biot-Savart law. The new approach is to break the wire down into a number of straight line segments in its plane. According to the principle of vector superposition and coordinate rotation, the magnetic field from the complete current wire can then be calculated by summing the contribution from each of the separate straight line pieces. The simulation results show that the proposed numerical method has high accuracy and faster computational time and is efficient and convenient to the application in projects.
A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation
Authors: Yu Yan , Huang Chao Bing , Li Ling
Published: September 2013

Local image information is crucial for accurate segmentation of images with intensity inhomogeneity which usually occurs in medical images. However, image information in local region is not incorporated in popular region-based active contour models, such as piecewise constant models and piecewise smooth models. In this paper, a method which is able to use local information is proposed. The main point is the introduction of the local fitting information expressed by a kernel function which is crucial for segmentation. Our method is based on piecewise constant Chan-Vese model, and compare with different methods for several synthetic images and medical images.
Optimized Algorithm for Mining Valid and Non-Redundant Rules
Authors: Liu Nai Li , Ma Lei
Published: September 2013

The traditional algorithm of mining association rules, or slowly produces association rules, or produces too many redundant rules, or it is probable to find an association rule, which posses high support and confidence, but is uninteresting, and even is false. Furthermore, a rule with negative-item cant be produced. This paper puts forward a new algorithm MVNR(Mining Valid and non-Redundant Association Rules Algorithm),which primely solves above problems by using the minimal subset of frequent itemset.
The Research on the Visual Obstacle-Avoidance Optimization in Robots Control
Authors: Tian Hong Bin
Published: September 2013

In order to increase the movement capability of the robotic visual system in three-dimension space, the paper designs an obstacle-avoidance algorithm based on robotic movement visual by effectively processing the visual information colleted by the robotics. This paper establishes a structural model of coordination control system. The obstacles can be effectively identified and avoided by the obstacle-avoidance theory in the robotics coordination operation. The mathematical model of the obstacle-avoidance algorithm can predict the locations of the obstacles. The experiment proves the proposed algorithm can avoid the obstacles in three-dimension space and the accuracy is very high.
Study on Predistortion Techniques and Adaptive Modulation Used in Fading Channels
Authors: Liu Wei , Zhang E
Published: September 2013

Spectral efficiency is one of primary concern in the design of any wireless data communications systems, where fading is the main problem. An approach that can be taken to overcome the problem of fading is to adapt the modulation scheme according to the instantaneous propagation channel conditions. In this paper, we present a simplified mathematical model to calculate the probability of SER for any given constellation of M-QAM. This model plays an important role in designing spectrally efficient adaptive modulation over nonlinear mobile channels. Instantaneous spectral efficiency and its histogram distribution are found for linear and nonlinear channel cases. The achievable spectral efficiency is obtained for linear and nonlinear channel and compared with non-adaptive system and Shannon capacity.
Traceroute-Based Route Gathering and Repairing Mechanism of Client-Independent IP Geolocation System
Authors: Tao Yong Cai , Jia Wei Wei , Shi Lei , Wei Lin , Cao Yang Jie
Published: September 2013

Delay measurement-based IP Geolocation can gain better IP geolocation performance. However, there are still some defects needed to be improved, including inaccurate landmark information, incomplete traceroute information and inaccurate traceroute repairing information. To address the issues, the paper proposes a traceroute-based route gathering and repairing mechanism of client-independent IP geolocation system. The contributions include: 1) a landmark information filtering mechanism is presented to filter the noise data; 2) an Improved TraceRoute Gathering algorithm (ITRG) is proposed to increase the integrity of route information; 3) a Reverse Route Delay Repairing algorithm (RRDR) is presented to solve the problem of route inflation, guaranteeing that the delay value of current router is smaller than that of its next router. The experimental results show that using the improved IP geolocation mechanism proposed in the paper, the median error distance of IP geolocation is reduced to 5.42km from 9.60km.
Comparing Intuitionistic Fuzzy Set Theory Method and Canny Algorithm for Edge Detection to Tongue Diagnosis in Traditional Chinese Medicine
Authors: Chen Yen Sheng , Chang Yuh Ming , Lin Jiunn Cherng
Published: September 2013

The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). Human tongue is one of the im­portant organs which contain the information of health status. Image segmentation has always been a fundamental problem and complex task in the field of image processing and computer vision. Its goal is to change the representation of an image into something that is more meaningful and easier to analyze. In other words, it is used to partition a given image into several parts in each of which the intensity is homogeneous. In order to achieve an automatic tongue diagnostic system, an effective segmentation me­thod for detecting the edge of tongue is very important. We mainly compare the Chan Vese Method and Canny algorithm for edge segmentation. The segmentation using Canny algorithm may produce many false edges after cutting; thus, it is not suitable for use. But, for our two steps Chan Vese method can automatically select the best edge information. Therefore, it may be useful in clinical automated tongue diagnosis system. Experiments show the results of these techniques.
A Improve Robust Watermarking Algorithm for Binary Images
Authors: Zhang Lei
Published: September 2013

A improve robust watermarking algorithm is proposed for binary images. The primary focus of the proposed algorithm lies in finding more flippable pixels and enhancing the robustness of watermarking. Based on Haar Wavelet Transform, the more flippable pixels was found not only in the neighbourhood but also in the Wavelet Transform domain. The embedding mechanism based on dynamic step size was proposed for enhancing the robustness of watermarking. And the experiment results and analyses demonstrate that proposed algorithm can find more flippable pixels, and is has better in robustness and invisibility.
Parameter Optimization Based on Genetic Algorithm in the Research of Equivalent Pruning Effect on Fuzzy Decision Tree
Authors: Dong Yan Jun , Liu Tian Zhen
Published: September 2013

for a parameter α that played an important role in the course of fuzzy decision tree creation ,there exists a specific interval, within which gradual increasing of the parameter α may have the same effect as the crisp decision tree post pruning on the size and test accuracy, and there exists a optimum value of α within this specific interval, When α gets the value, can make the fuzzy decision tree reach its performance optimal. To obtain α optimum value , this paper proposed a method of optimizing parameter based on genetic algorithm and proved the validity of the method through comparing with the relative experiment.
A Method for Extracting Biomedical Signals with Specific Temporal Structure
Authors: Zhao Yong Jian , Jiang Hai Ning , Qu Mei Xia
Published: September 2013

This paper proposes a blind source extraction (BSE) method on the basis of several time-delay autocorrelations from primary sources. This method is a second-order statistic learning algorithm, which can extract a desired biomedical signal while it shows a specific temporal structure. In contrast to conventional BSE methods, it is simple and do not need to choose any learning step size. Computer simulations on biomedical measurements demonstrate its validity and high performance in the process of revealing the underlying desired signal.
Kernal Based Semi-Supervised Clustering and its Application in Leave Recognition of Bauhinia Blakeana Leaves
Authors: Yang Xi Yang , Yu Fu Sheng
Published: September 2013

A novel kernel based semi-supervised fuzzy clustering algorithm is proposed, and its iterative formula is given. This new algorithm can effectively improve the efficiency of the clustering algorithm. Combined with Fisher projection algorithm, two principal components are extracted from 7 hue statistics and 11 green value statistics, this new semi-supervised clustering method is applied to recognize the angular leaf spot disease of Bauhinia blakeana. The results showed that the consistent rate is 100% for the labeled leaves, and above 95% for other unlabeled leaves.
An H_Infinity Approach to Synchronization of Chaotic Systems
Authors: Du Li Ming , Wang Feng Ying , Sun Chang Chun , Li Zheng Yu
Published: September 2013

In this paper, a new adaptive approach for H_infinity synchronization of a general class of chaotic systems. Based on adaptive control theory and Lyapunov function method, An adaptive controller is constructed, the H_infinity synchronization controller is presented to not only guarantee stable synchronization but also reduce the effect of external disturbance to an H_infinity norm constraint. The results of simulation are given to show effectiveness of the proposed method.
A Quick Extraction Algorithm Using Window-Scanning for Moving Vehicles
Authors: Yang Ji Ze , Fan Tie Sheng
Published: September 2013

Aiming at the particularity of traffic monitoring video sequences and the regularity of vehicle movement, a quick extraction algorithm using window-scanning for moving vehicles in traffic monitoring videos is proposed in this paper. This algorithm uses hypothesis testing to higher order statistics of frame differences to achieve the rough separation of moving vehicles and background. Then obtain the length of the vehicle and extract the vertical coordinates of the initial point of moving vehicle by setting a static window with a stationary location, combining with the velocity of the vehicle and the moving pixel distribution probability in the window. And obtain the width of the vehicle the horizontal coordinates of the initial point of moving vehicle by setting a dynamic window, combining with the distribution probability of moving pixels in the window. Finally this algorithm achieved the quick extraction of vehicles with the window obtained by length and width, combining with the coordinates of the initial point of moving vehicle. Experiments show the feasibility of the algorithm that the time and space efficiency is relatively high.
A Real-Time Scheduling Algorithm Based on Priority Table
Authors: Su Er Feng , Zhang Kai Long , Zhou Xing She , Fan Chen
Published: September 2013

Among preemptive real-time uniprocessor scheduling algorithms, many researches, such as optimal and heuristic algorithms, considers only one task attribute and neglects also the variation of attributes. To understand the relations between task attributes and scheduling success ratio, we first define the sensitivity of scheduling success ratio to task attributes. Sensitivity means the intensity of variation of scheduling success ratio as task attributes varies. The paper analyzes the sensitivities of scheduling success ratio to arrival time, execution time, deadline and laxity respectively, which have close relations with scheduling. Based on the definition of sensitivity, we also define attributes influence on scheduling success ratio, which is that the greater the influence, the higher the ratio. The essence of dynamic scheduling is a scheduling based on priority, with each dynamic algorithm matching a priority table, and vice versa. It is also much easier to infer the algorithm from the priority table, which can consider several task attributes. As priority table has various designs, it can correspond to a lot of algorithms, among which, many are inefficient. In order to deal with this kind of problem, we propose a new priority table design PTBM combining deadline and laxity based on the analysis of sensitivity and influence, which makes that a task with small deadline and large laxity has higher priority. We compare PTBM with EDF, LLF and PTD through simulation. The results verify the analysis of sensitivity and influence, and it also shows that PTBM outperforms on scheduling success ratio. It needs further exploration to design more efficient priority table by analyzing more task attributes influence on scheduling success ratio, which includes criticalness, task type and so on.
Analysis of Face Detection and Feature Location Application on Intelligent Character Design Situations
Authors: Li Hong Yan
Published: September 2013

Process of face detection and face feature location on sequence images is analyzed in this paper. Firstly, designer image is captured. Secondly, color threshold method is used to detect whether the image containing human face. thirdly, after above detection, if a human face existing, the Adaboost algorithm based on improved weight update is used to locate facial feature parts. Location on facial feature parts is premise of designing facial image and foundation for realization of intelligent character design system.
The Impact Point Detecting System for Photo-Electricity Targets
Authors: Xu Zhi Hui , Li Wei Zhong , Xiao Yong Jun
Published: September 2013

according to the requirement of shooting training, the impact point detecting system of photo-electricity target is designed based on laser coordinate orientation method. The principle of detection method based on image process is firstly discussed, then the system design and image processing arithmetic is also detailed, at last the simulation experiment is done, and the result shows that the designed system is stabilized and can reach accurate and reliable detecting and displaying for scoring ring number.
An Improved Tabu Search Algorithm for a Type of Single Machine Sequencing Problem
Authors: Wang Meng Lan , Liu Wen Bin
Published: September 2013

Machine scheduling is a central task in production planning. In general it means the problem of scheduling job operations on a given number of available machines. In this paper we consider a machine scheduling problem with one machine, or the Single Machine Total Tardiness Problem. To solve this NP-hard problem, we develop an improved Tabu Search Algorithm, which is tested to have the ability to find good results by an example.
An Anti-Collision Algorithm for Applications with Massive RFID Tags
Authors: Zhang Hang , He Jing Sha
Published: September 2013

Anti-collision is a key technology in systems and applications in which Radio Frequency Identification (RFID) is used since it determines the efficiency of RFID tag identification. Although binary-tree search algorithms can effectively resolve collisions, they may not be very efficient in systems with a large number of RFID tags. In this paper, we propose a new flat-tree anti-collision algorithm and show that the proposed algorithm is more suitable for resolving collisions involving a massive number of RFID tags. Through analysis and experiment, we show that the flat-tree algorithm outperforms the binary-tree search algorithms when the number of RFID tags reaches a massive scale, i.e., exceeds a certain number.
Research of Sliding Mode Control in Electro-Optical Tracking System
Authors: Guo Zi Peng , Xie Chao Ming , Xiao Yong Jun
Published: September 2013

as the foundation and critical part of the free Space optical communication, the electro-optical tracking system is a typical nonlinear system. However, the angular accuracy should be better than a few micro-radians to meet the requirement of the communication link construction between two terminals. To get more control precision, the mathematic model of the coarse pointing system is founded, and sliding mode variable structure controller with approach law is designed. Finally, the simulation is done separately for a typical PID controller and the variable structure controller. Simulation results are showed that the sliding mode control can finely control the attitude of coarse pointing system, and can get higher precision by contrasted to the conventional PID controller.
Experimental Study of the Performance Test for the Infusion Monitoring System
Authors: Xu Zhi Hui , Li Wei Zhong , Xiao Yong Jun
Published: September 2013

Comparison with conventional manual adjustment to control the drop speed in clinical infusion, the infusion monitoring system can achieve much more high reliability and efficiency, and is easy to realize the automation of infusion. So the infusion monitoring system has been designed in the last papers. To test the designed system performance, some experiments are done. And the result show that under requirement of the system precision, the time consumption increase with the incensement of speed difference value; Comparing to the conventional PID controller, the fuzzy-PID controller can achieve high precision and little stabilizing time consumption.