bluuebunny/crossref_metadata_2025 huggingface dataset:
Hot Forming Flow Stress Prediction of Steel 50A1300 by BPA ANN
Authors: Tang Zheng Xin , Zhou Xu Dong
Published: June 2012

The researches of non-oriented silicon steel are mainly focused on the effect of main processing parameters on the microstructure and magnetic properties, but there have been few studied about its flow stress until now. In this paper, the hot deformation of non-oriented silicon steel 50A1300 is studied by thermal-mechanical simulation method. The hot deformation behavior of the steel is explored and the flow stress prediction of the steel is established based on a kind of BPA ANN. A piecewise method is proposed in this paper, and the prediction with this new method has good accuracy.
Time Series Data Mining in Process Industry
Authors: Ren Jia , Gao Jin Feng
Published: June 2012

time series; data mining; knowledge discovery; trend extremum representation. Abstract. In recent years, there has been an explosion of interest in mining time series databases. In this paper, we make some attempts to mining process industrial time series. As with most computer science problems, representation of the data is the key to efficient and effective solutions. We introduce a novel algorithm, Trend Extremum Representation, which is empirically proved to be superior to Piecewise Linear Representation and Important Points Representation in manipulating large-scale industrial data. Then, subsequent mining procedure is undertaken. Through clustering analysis and association rule discovery, several useful rules are derived for differentiating normal and abnormal events in everyday operations.
Scalable MD5 Crypt Cracker on PetaScale Supercomputer
Authors: Shi Zhi Cai , Yang Can Qun , Wu Qiang
Published: June 2012

MD5 Crypt is a cryptographic algorithm used commonly in UNIX system for authentication. Thanks to the additional randomization of the salt and complexity of the scheme, it makes the traditional password cracking techniques invalid on common computing systems so that the security of the system is guaranteed. As a result of the thriving of petaflops heterogeneous supercomputer system in recent decades, the security of MD5 Crypt is facing a threat of brute-force attack again. However, the complexity of heterogeneous programming and the sophistication of large-scale parallelism still hamper the password recovering. In this paper, we implemented brute-force attack of MD5 Crypt on Tianhe-1A，the world’s fastest supercomputer， by organizing the assignment between CPU and GPU reasonably and making several optimizations according to MD5 Crypt for GPU. Based on the experimental results, our algorithm achieves a great scalability. It checked more than 1.8 billion passwords in a second on the full system. Thus it issues a new challenge to the security of MD5 crypt for authentication.
Study on the Influencing Factors Effecting Temporary Cavity Caused by a High Speed Steel Ball when Penetrating into Gelatin
Authors: Zeng Xin , Zhou Ke Dong , He Lei , Gong Peng Han , Jin Yong Xi
Published: June 2012

To investigate the wounding effects in human on the basis of the similarity theory, by taking the temporary cavity as the research object, through the analysis on the forming of cavity and its physical process, main influencing factors effecting temporary cavity are obtained, which can provide a good theoretical basis for similarity research in wounding ballistics in the future, and the killing effect of the high speed steel ball is more deeply described.
Research on Internet of Things Based on RFID
Authors: Li Lan
Published: June 2012

The internet of things is a network designed for connecting things together, which is established on the basis of computer network, as well as by making use of the RFID, wireless data communication technology, etc. Among all these technologies, RFID plays a crucial role in the construction of the internet of things. So far, the RFID technology has been widely used in industry, commerce, intelligent transportation system, and many other fields.
A New Ship Detection Method for Massive Data High-Resolution Remote Sensing Images
Authors: Sun Hao , Li Yu , Liu Ge , Long Hui , Wang Hong Qi
Published: June 2012

This paper proposes a new method for automatic ship targets detection in remote sensing images. The method uses adaptive segmentation algorithm for getting possible ship targets first, and then calculates Histograms of Oriented Gradient (HOG) feature to extract the structural information of ships, followed by supervised learning algorithm to identify the possible ship targets. Multi-scale sliding-window is used to handle targets with different scales. The experimental results prove that this new method has a good precision and robustness for most of the ship targets and give attention to the efficiency.
Based on Convolution Algorithm Single Crystal Finite Element Analysis
Authors: Zhang Shu , Meng Lei
Published: June 2012

1040 °C was studied during the period imposed 137MPa tensile creep nickel-base single crystal superalloys γ/γ' the evolution of two-phase approach. ANSYS finite element method is using a single crystal alloy with / without external load when the Von Mises stress in the gand γ' two phase distribution. The comprehensive analysis of the formula, the coefficient values usually experience, not very accurate, this article dealing with convolution Algorithm coefficient. This algorithm uses orthogonal crossover to generate initial population and uses elitist-crossover to increase the good patterns of the population and uses hybrid mutation to increase the ability of local and global optimization. It has shown fascinating results when being used in the optimization of multimodal function. The results showed that: In the creep period, the corresponding cubic γ' along the von Mises stress and strain energy density of the crystal face to form raft-like organizations.
Study on Adaptive QoS Solution of Real-Time Video Stream in Wireless Network
Authors: Xiong Xiao Yun , Wang Bing , Wang De Xing
Published: June 2012

With the rapid development of wireless network technology, wireless networks have been widely used in many fields due to the flexibility of wireless access. However, in the field of video transmission, because the link state is instability and the transmission is easily interfered in wireless networks, the quality of video transmission is affected badly. In fading and shadowing channels, some users can’t watch the video normally. This paper provides an adaptive QoS solution of real-time video stream in wireless network, by adding a relay server it can provide multicast or unicast video stream satisfying multiple QoS for users with different network state. This solution has been successfully applied in Qingdao Public safety emergency video surveillance system.
Research on Adaptive Mobile Map Based on Spatiotemporal Data Mining
Authors: Yang Zhen , Ju Feng , Shao Bin
Published: June 2012

In order to solve the problems of obtaining users’ individual demand in the current field of adaptive mobile map service, this paper proposes solutions of adaptive mobile map based on spatiotemporal data mining and architecture; and discusses several key technologies. The study of adaptive mobile map based on spatiotemporal data mining can improve adaptive mobile map service, and implement obtain efficiently useful information from a massive data to meet the diverse needs of different users.
Technology Study on Sichuan Refractory Lead-Zinc Ore
Authors: Zeng Shu Qin , Zhang Xiao Lin , Liu Dian Wen , Wei Zhi Chong
Published: June 2012

Rude ores, which were collected from two lead-zinc oxide ore deposits in Sichuan province, are very difficult to process with low grade and uneven mineral dissemination. It is very difficult to separate valuable minerals from gangue minerals, especially for the recovery of lead and zinc minerals. On the basis of mineral characteristic study, author studied flotation technology on lead-zinc mineral, and gained satisfactory concentrate indicator by stage-grinding: the lead concentrate with a grade of 52.45 percents and a recovery of 79.30 percents and the zinc concentrate with a grade of 35.26 percents and a recovery of 87.57 percents .
Research of Robust Feature for Speech Recognition
Authors: Ren Xiang Hua , Jiang Yun Xia
Published: June 2012

Feature extraction plays an important role in speech recognition. In this paper, we propose a speech feature extraction scheme which focuses on increasing the robustness of speech recognizer in noise (additive) and channel (convolutive) distortion environment. Considering the two distortions are additive in spectral and log-spectral domain, respectively, we remove the additive components by computing the time derivatives of speech frames firstly in spectral domain and then in log-spectral domain. Compared with conventional methods, this method does not need spectrum estimation and prior knowledge of noise. Experimental results confirm that our proposed method can improve the speech recognition performance in environ-ments existing both noise and channel distortions.
The Time Analysis of Perception
Authors: Xue Qing , Xu Wen Chao , Mao Ying Xiao , Yu Ping Gang , Li Yong Hong
Published: June 2012

The research of perception time is part of perception model, establish the perception based on depict, calculate the response time and duration of the process of perception, analysis the factor, point of direction of the future research.
Preliminary Study on Injection Molding Process of Single Polymer Composites
Authors: Mao Qian Chao , Chen Jin Nan , Wang Jian
Published: June 2012

An approach of preparing single polymer composites (SPCs) by injection molding was demonstrated. Polypropylene (PP) was used as a model system to investigate this method. The thermal properties of PP granules and PP fibers were analyzed by Differential Scanning Calorimeter (DSC) to determine the processing temperatures. The flexural test of PP SPCs showed that the flexural strength was obviously improved compared to the non-reinforced PP. The results also indicated that the injection pressure, holding pressure and nozzle temperature greatly affect the flexural strength of PP SPCs. The microstructure observation showed no gaps between fibers and the matrix by using Scanning Electron Microscopy (SEM). The matrix melt was able to penetrate into fiber webs and the two materials had good interfacial compatibility.
3DTV Video Acquisition and Processing for Visual Discomfort Alleviation
Authors: Yang Yu , Zhang Yi Chun , Li Jian Zeng
Published: June 2012

While 3DTV technology achieved great development in recent years, 3DTV program production can’t be wildly employed because 3D production is more complex than traditional 2D production. Stereoscopic camera parameters need to be well controlled, because the perceived depth range of stereoscopic display is limited by human factors and stereoscopic image should be kept within this limitation, so that the viewer can experience 3D video without any uncomfortable feeling. Recent stereoscopic image acquisition methods provide precise control to map depth range from scene to screen, but they don’t suit some shooting cases. In this paper, we present two new stereoscopic image creation methods, which are more practical than traditional ones. Additionally, our production methods are presented in two cases: (1) camera separation is unfixed; (2) camera separation is fixed. In the end, experiments are presented and the results show our methods can control the perceived depth very well.
Paratactic Spatial-Temporal Two Dimension Data Fusion Based on Support Vector Machines for Traffic Flow Prediction of Abnormal State
Authors: Chen Liang , Li Qiao Ru , Tian Xiao Yong , Chen Xiang Shang , Wang Rong Xia
Published: June 2012

This paper presents a paratactic spatial-temporal 2dimension data fusion model based on support vector machines (SVM) for traffic volume prediction of the abnormal state. Time and space SVM operates respectively in two parallel operating system models to reduce the time cost. By comparing the prediction results with which obtained by the multiple regression prediction method, the prediction accuracy is greatly improved by utilizing the paratactic spatial-temporal dimension data fusion model. Especially in the abnormal state caused by unexpected events (such as: traffic accidents, traffic jam etc), the proposed method can also significantly avoid structural system error of one-dimensional time source data fusion.
Design and Verification of Security Protocol for Information Transmission in Digital Campus
Authors: Li Xiao Le , Luo Yong Jun , Liang Yu , Wen Ying
Published: June 2012

This paper mainly studies application of formal design for security protocols in digital campus. With a comprehensive analysis on security requirements of information transmission in digital campus, an information transmission model is built from the viewpoint of information security. Based on this model, a new security protocol, called DCIT for short, is designed. The formal analysis shows that secrecy, integrity, availability, controllability, non-repudiation and identifiability of information during transmission could be insured by DCIT, which could be used as a direction for development of various application systems in digital campus, from the viewpoint of information security.
Research of Flood Prediction Based on Subjective/Objective Evidences Fusion Model
Authors: Wu Wei , Chen Yan Ming
Published: June 2012

This paper presents a model by combining BP neural network and DS evidential reasoning, which not only achieves the feature level fusion of all subjective and objective evidences in various domains and layers, but also makes distinct models complement each other. By the experiment, this method improves classification precision by 7.9 percent and reduces the time complexity of algorithm. The model solves the problems such as high complexity of algorithms and low accuracy rate of classifications lie in the flood prediction using single models.
A Multi-Dimensional Time Series Data Mining Model for Weather Forecast
Authors: Liu Kun
Published: June 2012

Based on the analysis and actual application under the background of the ground automatic weather stations research material, through selecting dimension, piecewise linear fitting method, the cluster symbol, this thesis proposes the dimensions redundant reduction algorithm, the extremum slope piecewise linear fitting method, a multi-dimensional time series data mining model for the meteorological data, and uses the model to preliminarily mine the rule of rain­ weather phenomena. Finally, the experimental results show that this model designed in this paper can predict the weather phenomenon great practicality.
Research and Improvement on Content-Based Web Search Engine
Authors: Lin Zhi Chao , Sun Lei , Liu Xiao
Published: June 2012

There is a lot of information contained in the World Wide Web. It has become a research focus to obtain the required related resources quickly and accurately from the web through the content-based search engines. Most current tools of full text web search engine, such as Lucene which is a widely used open source retrieval library in information retrieval field, are purely keyword based. This may not sufficient for users to retrieve in the web. In this paper, we employ a method to overcome the limitations of current full text search engines in represent of Lucene. We propose a Query Expansion and Information Retrieval approach which can help users to acquire more accurate contents from the web. The Query Expansion component finds expanded candidate words of the query word through WordNet which contains synonyms in several different senses; In the Information Retrieval component, the query word and its candidate words are used together as the input of the search module to get the result items. Furthermore, we can put the result items into different classes based on the expansion. Some experiments and the results are described in the late part of this paper.
The Simulation Method of the Torpedo Magnetic Fuse Introduction Signal
Authors: Liu Zhong Le , Zhang Han Jun , Li Hua
Published: June 2012

The article based on the analysis of the work principle of the torpedo magnetic fuse, according to the specific circumstances of the received signal of the torpedo magnetic fuse, proposed to use the two electrodes direct opening mode magnetic field source to simulate the warship magnetic field signal of the torpedo explosive induce magnetic fuse action. The Simulating calculation shows that the magnetic field of the magnetic bait has good simulation effect; it can effectively induce the torpedo magnetic fuse.
Design and Implement of Intelligent Orientation Online Help
Authors: Zhang Qing , Zheng Cui Fang , Rong Yu , Zhu Xing Lin
Published: June 2012

An intelligent orientation online help based on Web was design and implement to quickly and accurate orientation help information of user need. The operating principle and implementing process mechanism of online help is described in detail. The mechanism build one-to-one mapping relation of function interface and help document by not change application system, the help information of user need was orientated automation, quickly and accurate by one key. This could economize query time of user and reach the aim of intelligent and efficiency.
Construction of Question Chain Data Center Systems Supported of Data Mining
Authors: Liang Li
Published: June 2012

Data mining is a kind of technology to analyze and treat information. From the current, as well as the future perspective of teaching reform in colleges and universities, the construction of question chain data center systems under the support of data mining technical by the means of question logic will enhance the effectiveness of the teaching of Ideological and political theory courses.
Cloud Storage Technology in Video Surveillance
Authors: Zhao Zhe Feng , Cui Xiao Jing , Zhang Hui Qiang
Published: June 2012

The advantage and potential applications of cloud storage technology in video surveillance, on the basis of the concept and technology character of the cloud storage, have been discussed in the paper. Some important problems of the cloud storage technology applications in video surveillance have also been analyzed.
Development of Vibration Data Processing Program
Authors: Xu Yi Feng , Zhou Yun Duan
Published: June 2012

The program for vibration data processing is developed based on MATLAB software. Different methods are used to extract the important information from the random, sinusoidal vibration and shock test. Some main codes in the program are listed in the paper, and the examples for the random and sinusoidal vibration data processing are also shown. Results indicated that the program can help the analyzer to exactly catch the test information and automatically generate the report document.
Image De-Noising Based on Improved Data-Adaptive Kernel Regression Method
Authors: Qiang Zhen Ping , Chen Xu , Lin Hong , Zhao Tong Lin
Published: June 2012

This paper proposes a novel method for image de-noising, the algorithm is improved the data-adaptive kernel regression method. The process of each pixel is: first determine whether the pixel is on boundary, for the pixels on the edge to establish the kernel which shape is adaptive with the boundary, and then use iterative process for de-noising. For non-boundary pixels, use the data-adaptive iterative kernel regression method. Experiments have shown promising results in image de-noising; the algorithm is able to filter out the high-frequency noise of image while it retains the details of the image characteristics.
A Robust Image Perceptual Hashing Scheme Based on Improved Normalization Algorithm
Authors: Sun Shu Sen , Zeng Yong , Zhang Hua Xiong , Gui Jiang Sheng
Published: June 2012

An improved image normalization algorithm is proposed firstly. Then a geometric robust image perceptual hashing scheme is proposed based on image normalization and discrete cosine transform. The original image is preprocessed using our improved image normalization method. And the selected DCT coefficients as image feature are encrypted for security. The geometric robust image hash is achieved by quantizing encrypted DCT coefficients and coding. The experimental results show that the algorithm can resist against common global affine transformations such as rotation, scaling, translation and their combinations.
A Faster Pattern Matching Algorithm for Intrusion Detection
Authors: Du Feng
Published: June 2012

In this paper, a Faster algorithm: BMF is proposed, which sets improvements in the time complexity of the BM algorithm. The BMF algorithm defines a new pre-calculation function to increase in the skips of pattern significantly. Experiments indicate that the time complexity is reduced by 63% at most. Therefore, the improved algorithm could provide significant improvement in pattern matching performance when using in an IDS.
OpenMP-Based Parallel Algorithms for Pi on Multi-Core Platform
Authors: Gao Zhi Jun
Published: June 2012

To take full advantage of multi-core processor resources, this paper examines the multi-core platform using OpenMP implementation of two kinds of pi parallel algorithms, numerical integration and Monte Carlo. The experimental results show that optimized algorithm with the OpenMP pragmas compared with the serial code has been improved speed significantly, also achieved satisfactory speedup and parallel efficiency that effectively improve the utilization of computer resources of the multi-core, parallel algorithm for the realization of Pi provides a new way of thinking.
A Diversity Guided Particles Swarm Optimization
Authors: Li Na , Li Yuan Xiang
Published: June 2012

A new particle swarm optimization algorithm (a diversity guided particles swarm Optimization), which is guided by population diversity, is proposed. In order to overcome the premature convergence of the algorithm, a metric to measure the swarm diversity is designed, the update of velocity and position of particles is controlled by this criteria, and the four sub-processes are introduced in the process of updating in order to increase the swarm diversity, which enhance to the ability of particle swarm optimization algorithm (PSO) to break away from the local optimum. The experimental results exhibit that the new algorithm not only has great advantage of global search capability, but also can avoid the premature convergence problem effectively.
A Novel Quantum Genetic Algorithm Based on Potential
Authors: Li Xiao Lei , Meng Fei
Published: June 2012

Considering different quantum bit having different effective intensity in chromosome evolution, a novel quantum genetic algorithm based on potential is proposed. It makes the magnitude of rotation angle depending on the potential of a quantum bit. It generates the orientation of rotation angle according to the total potential of quantum bit in the chromosome. The character of quantum entangled interference based on potential is introduced. And convergence analysis and rationality analysis are implemented. Experimental test shows that, it can obtain better convergence rate and have less runtime on smaller population size and shorter chromosome length.
EM Algorithm Based on Fuzzification and its Application
Authors: Tong Ting Ting , Wu Zhen Hua
Published: June 2012

EM algorithm is a common method to solve mixed model parameters in statistical classification of remote sensing image. The EM algorithm based on fuzzification is presented in this paper to use a fuzzy set to represent each training sample. Via the weighted degree of membership, different samples will be of different effect during iteration to decrease the impact of noise on parameter learning and to increase the convergence rate of algorithm. The function and accuracy of classification of image data can be completed preferably.
Investigating the Performance of Cosine Value and Jensen-Shannon Divergence in the kNN Algorithm
Authors: Li Xiang Dong , Jia Han , Huang Li
Published: June 2012

K Nearest Neighbor (kNN) is a commonly-used text categorization algorithm. Previous studies mainly focused on improvements of the algorithm by modifying feature selection and k value selection. This research investigates the possibility to use Jensen-Shannon Divergence as similarity measure in the kNN classifier, and compares the performance, in terms of classification accuracy. The experiment denotes that the kNN algorithm based on Jensen-Shannon Divergence outperforms that based on Cosine value, while the performance is also largely dependent on number of categories and number of documents in a category.
Simulation of Signal Based on the Reproducing Kernel Spline
Authors: Ma Xiao Jian
Published: June 2012

In signal processing, no matter the classical Fourier transform or the new wavelet transform is essentially related to kernel theory. The paper gives a reproducing kernel and its form is very simple. And by this kernel, the spline interpolation method can be constructed. Meanwhile, its best approximation property is proved. The numerical experiment results show that the interpolation method is convenient for numerical calculation and it has features of less calculation, higher approximation precision. Specially, the method has more advantages relative to Fourier analysis. That is, needless to prefilter and boundary extension, it can resolve ‘jumps’ at the edges in signal processing. And a new idea for signal simulation is put forward and the reproducing kernel theory is further enriched.
Effects of Annealing Temperature on Crystallization Feature of BaSi2 Films
Authors: Hao Zheng Tong , Yang Zi Yi
Published: June 2012

The pure barium is used as target to deposit Ba films on p-Si(111) substrates by magnetron sputtering system, then the films as-deposited are subsequently annealed by annealing furnace with various temperature. The crystal structure, surface morphology and electricity property of the films annealed are characterized by X-ray diffraction, scanning electron microscope and Hall-effect instrument, respectively. The results show the annealing temperature favoring orthorhombic BaSi2film growth is about 800°C.
The Research Based on GA-SVM Feature Selection Algorithm
Authors: Li Hong Mei , Yang Lin Gen , Zou Li Hua
Published: June 2012

To make feature subset which can gain the higher classification accuracy rate, the method based on genetic algorithms and the feature selection of support vector machine is proposed. Firstly, the ReliefF algorithm provides a priori information to GA, the parameters of the support vector machine mixed into the genetic encoding,and then using genetic algorithm finds the optimal feature subset and support vector machines parameter combination. Finally, experimental results show that the proposed algorithm can gain the higher classification accuracy rate based on the smaller feature subset.
Image Encryption Algorithm Based on Genetic Algorithm
Authors: Zhu Gui Liang , Wang Wei Ping , Zhang Xiao Qiang
Published: June 2012

According to the idea of genetic algorithm, a new image encryption algorithm is proposed. Define each pixel of the image as a gene, each row of the image as a chromosome, the whole image as an organism. Then we design a selection operator, which based on SVD. After the operation of selection, crossover and mutation of the image, we can get the encrypted image. The simulation results show that very nice encryption effects and good robustness are obtained and the high safety of the new algorithm are analyzed.
2-D Kernel Regression Algorithm for Image Denoising
Authors: Yao Yun Fei , Hu Ye Gang , Wang Chun Sheng , Sun Wei Wei
Published: June 2012

Removing noise from the original image plays an important role in many important applications involving image-based medical diagnosis and visual material examination for public security, and so on. Among them, there have been several published methods to solve the related problem, however, each approach has its advantages, and limitations. This paper examines a new measure of denosing in space domain based on 2-D kernel regression which overcomes the difficulties found in other measures. The idea of this method mainly let the values of a row or a column from an image are taken as the measured results of a fitting function. The following step is to estimate the weight coefficients using least square method. Finally, we obtain an denoised image by resampling the estimated function, and the variable x denotes the coordinate of an image. Results of an experimental applications of this method analysis procedure are given to illustrate the proposed technique, and compared with the basic wavelet-thresholding algorithm for image denoising.
A Universal Steganalysis Algorithm for JPEG Image Based on Selective SVMs Ensemble
Authors: Chen Da Ya , Zhong Shang Ping
Published: June 2012

Universal steganalysis include feature extraction and steganalyzer design. Most universal steganalysis use Support Vector Machine (SVM) as steganalyzer. However, most SVM-based universal steganalysis are not to be very much effective at lower embedding rates. The reason why selective SVMs ensemble improve the generalization ability was analyzed, and an algorithm to select a part of individual SVMs according to their difference to build the ensemble classifier was proposed, which based on the selected ensemble theory-Many could be better than all. In this paper, the selective SVMs ensemble algorithm was used to construct a strong steganalyzer to improve the performance of steganographic detection. The twenty five experiments on the benchmark with 2000 different types of images show that: for popular steganography methods, and under different conditions of embedding rate, the average detection rate of proposed steganalysis method outperforms the maximum average detection rate for the steganalysis method based on single SVM with improving by 3.05%-12.05%; and for the steganalysis method based on BaggingSVM with improving by 0.2%-1.3%.
Fuzzy C-Means Clustering Algorithm for Image Segmentation Based on Improved Particle Swarm Optimization
Authors: Yang Yue , Guo Shu Xu , Tian Run Lan , Liu Peng
Published: June 2012

A novel image segmentation algorithm based on fuzzy C-means (FCM) clustering and improved particle swarm optimization (PSO) is proposed. The algorithm takes global search results of improved PSO as the initialized values of the FCM, effectively avoiding easily trapping into local optimum of the traditional FCM and the premature convergence of PSO. Meanwhile, the algorithm takes the clustering centers as the reference to search scope of improved PSO algorithm for global searching that are obtained through hard C-means (HCM) algorithm for improving the velocity of the algorithm. The experimental results show the proposed algorithm can converge more quickly and segment the image more effectively than the traditional FCM algorithm.
The Segmentation Algorithm for Hand Vein Images Based on Improved Niback Algorithm
Authors: Guo Xiu Mei , Zhou Wei Dong , Wang Cheng Yi
Published: June 2012

The local dynamic threshold segmentation algorithm, Niblack algorithm, is more suitable for hand vein images segmentation by comparing the common- used algorithms. But the traditional Niblack algorithm has weakness, so this paper proposed an improved Niblack algorithm in which the coefficient is adaptive estimated. The results show that the improved algorithm can better segment the hand vein outlines, preserve the vein original characteristics, and meet the needs of the follow-up feature extraction and recognition.
Medical Image Segmentation Algorithm Based on Granular Computing
Authors: Wang Fang , Ruan Juan Juan , Xie Gang
Published: June 2012

Granular Computing theory is a interesting research direction in artificial intelligence field. In this paper, granular computing theory is applied to medical image segmentation. Granularity thinking in image segmentation is expounded, and a novel medical image segmentation method is proposed. Firstly, we construct different granularities according to different features that the image contained, secondly, do the attributes combination to the obtained quotient spaces according to the quotient space granularity synthesis principle, and then complete the image segmentation. Compared with the methods adopting single image feature, this method may fully use the image information in a more effective way and may obtain better segmentation effects.
A Knowledge Rule Mining Method for the Evaluation of Library Service Quality Based on Genetic Algorithm
Authors: Wang Ping , Yan Tai Shan
Published: June 2012

In this study, the evaluation index system of library service quality is established and the representation method of knowledge rule is analyzed firstly. Then, a knowledge rule mining method for the evaluation of library service quality based on an improved genetic algorithm is proposed. In the algorithm, selection operator, help operator, crossover operator and mutation operator are used to generate new knowledge rules. Knowledge rules are evaluated by their accuracy, coverage and reliability. Experimental results show that this knowledge rule mining method is feasible and valid. It is helpful for us to evaluate the library service quality fairly and objectively.
Visual KEA: A Visual Model Based on Keywords Extraction Algorithm for Hub Pages
Authors: Peng Hao , Chen Zhen
Published: June 2012

Automatically extracting keywords from webpage is greatly important for focused spider. There are already quite many researches on automatically extracting keywords from content-intensive web pages. However, it is still a challenge to extract keywords automatically from hyperlink-intensive web pages (hub pages). The web page author will often use all kinds of visual strengthening means to prominently demonstrate some glossaries connected with the subject. Therefore, this paper proposes a visual model of web pages, DOM-PIXEL, which regards DOM leaf node of webpage as an image element expressed by a vision vector, in which each component corresponds to one visual emphasis means; the pixel value is from the visual energy. The pixel value reflects the relevance of the corresponding DOM node with respect to subject. These parts strengthened by page author will be highlighted with particular “color” in DOM-PIXEL image. Then, the only request for keywords extraction algorithm is to find these “particular points” with particular “color” automatically. Just because of the intrinsic anti-noise ability of DOM-PIXEL and its visual energy transfer rule, the visual model based keywords extraction algorithm (VisualKEA) proposed in this paper significantly promotes the performance on hub pages.
Experimental Study of Squeeze Casting of AZ31 Magnesium Alloy
Authors: Guo Zhi Hong , Hou Hua , Zhao Yu Hong , Qu Shu Wei
Published: June 2012

A new high-strength magnesium alloy with better properties than that of AZ31 was developed. The effect of applied pressure during squeeze casting on microstructures and properties of the alloy was studied by means of techniques such as standard mechanical tester, Brinell Hardness Tester (BHT), and Metallographic Microscope (MM). The parameters studied include squeeze casting pressure, melt temperature and pressure holding time by using orthogonal experimental method. It was found that a squeeze casting pressure of 110 MPa and a melt and pressure holding time of 700 °C and 15s respectively gave a good combination of mechanical properties in AZ31 Mg alloy. This was primarily due to effective die ﬁlling, microstructural reﬁnement and good heat transfer between the molten metal and the mould.
Preparation of Green Packaging Materials of Synthetic Paper and its Performance Research
Authors: Yin En Qiang , Sun Hong Guang , Li Kai
Published: June 2012

It analysises the performance advantages of the green packaging materials made by synthetic paper and the feasibility that it replaces the materials made by paper and plastic, it elaborate the raw material ratio of synthetic paper material and production process, and a study on the mechanical properties of synthetic paper honeycomb paperboard was been done, it provides a theoretical basis to drive the developmental application of green packaging materials made by synthesis paper.
Image Mosaic Method Based on SUSAN Algorithm and Log-Polar Transformation
Authors: Jiang Cheng Peng , Zheng Yuan , Xu Bing , Xue Xue Dong
Published: June 2012

The traditional LPT-based image mosaic algorithm has such problems as huge calculation load and narrow applied fields, etc. In view of that, this paper puts forward a mosaic algorithm based on SUSAN Corner Detection Algorithm and LPT, which will firstly make corner detection, and then, with the corner as the coordinate transform central point, choose proper search strategy to further reduce the calculation load. The result of experimentation shows that this algorithm is effective.
An Extended Simplex Algorithm for Linear Programming
Authors: Zhang Guo Guang
Published: June 2012

Simplex method is one of the most useful methods to solve linear program. However, before using the simplex method, it is required to have a base feasible solution of linear program and the linear program is changed to thetypical form. Although there are some methods to gain the base feasible solution of linear program, artificial variablesare added and the times of calculating are increased with these calculations. In this paper, an extended algorithm of the simplex algorithm is established, the definition of feasible solution in the new algorithm is expended, the test number is not the same sign in the process of finding problem solution. Explained the principle of the new algorithm and showed results of LP problems calculated by the new algorithm.
Approach for Solving Nonlinear Equation Group Based on Adaptive Genetic Algorithm
Authors: Shen Hong Lian , Cheng Feng Lin , Ren Huan Ru
Published: June 2012

A numeric method of solving nonlinear equation group is proposed. The problem of solving nonlinear equation group is equivalently changed to the problem of function optimization, and then a solution is obtained by adaptive genetic algorithm, considering it as the initial solution of Levenberg-Marquardt algorithm, a more accurate solution can be obtained, as a result, time efficiency is improved.
On-Line Modeling of Dynamic Nonlinear System Based on Bayesian Inferring Method Combined with Evolutionary Algorithms
Authors: Liu Yi Jian , Di Li Ming , Fang Yan Jun
Published: June 2012

A novel modeling method based on Bayesian inferring for dynamic nonlinear system is proposed in this article. The Bayesian inferring model structure and its training algorithm combined with evolutionary algorithms are first described in which the matrix threshold D parameters are optimized by evolutionary algorithms and the structure of the Bayesian inferring model is updated by the system running data. Then some typical dynamic systems are used for validating the modeling effectiveness of the Bayesian inferring method. And the simulation results are presented and some conclusion on the Bayesian inferring modeling method is described in details at last.
The Research of PApriori Algrithm Based on OLAP
Authors: Ma Ya Long , Zhang Guo Qing , Xu Wen Chao , Tong Lan Juan
Published: June 2012

In analysis of association rules based on OLAP, the application of Apriori algorithm may need to scan the database frequently and generate massive number of candidate itemsets because of the complex system. According to the weakness, the paper proposes PApriori algorithm based on pretreatment, which reduces the time of scanning database to once, while not directly generate candidate itemsets, raise the efficiency Analysis of association rules based on OLAP efficiently.
Improved Algorithm for Discretization of Decision Table
Authors: Chen Li Fang , Ma Ying
Published: June 2012

Discretization of decision table is the important step for pretreatment of data mining and machine learning, which related to the effect of learning. It has great contribution to speeding up the followed learning algorithms, cutting down the real demand of algorithms on running space and time. In this paper, the basic characteristics and framework of discretization approaches about greedy and improved algorithm are analyzed at first, then a new algorithm is put forward to select the useful cuts. The example is given to show that the useful cuts is consistent with the result of technicist. The algorithm offered the important theoretics basis for followed attribute reduction.
Dual Aircrafts Path Planning for Forest-Fire Rescue by Artificial Immune Algorithm
Authors: Liu Li Feng , Zhang Shu Qing
Published: June 2012

Path planning for dual aircrafts is preceded by artificial immune algorithm in forest fire rescue. We analysis and compare several parameters which will influence path planning. Based on above results we sum the reasonable parameters which should be used in further experiment. Moreover, to improve the operability of aircraft, restrictions of gradient smoothing algorithm, curvature smoothing algorithm are performed to smooth track in vertical aspect. Experimental results show that we can successfully get the satisfied flight paths for dual aircrafts in fire rescue under complex circumvent. At the same time the paths we planned have certain practical value by consideration the aircrafts fly-ability constraints.
A Particle Swarm Optimization Algorithm Based on the Pattern Search Method
Authors: Zhang Jun Li , Dai Da Wei
Published: June 2012

For the purpose of overcoming the premature property and low execution efficiency of the Particle Swarm Optimization (PSO) algorithm, this paper presents a particle swarm optimization algorithm based on the pattern search. In this algorithm， personal and global optimum particles are chosen in every iteration by a probability. Then, local optimization will be performed by the pattern search and then the original individuals will be replaced. The strong local search function of the pattern search provides an effective mechanism for the PSO algorithm to escape from the local optimum, which avoids prematurity of the algorithm. Simulation shows that this algorithm features a stronger function of global search than conventional PSO, so that the optimization process can be improved remarkably.
A New Algorithm of Video Key Frame Extraction Based on the Block of Frame Image
Authors: Feng Hong Cai , Gong Yong , Hu Wei Gang
Published: June 2012

In order to improve the stability and effectiveness of the key frame extraction, we devise a key frame extraction algorithm based on frame image block. It get the local characteristics of the image frame information by partitioning frame image, then calculate the non-correlation coefficient, and extract key frames reflecting more diversified information. Experimental results show that the algorithm for the lens of key frames of extraction efficiency is higher and extraction of key frames can effectively reflect lens content.
Short Text Clustering Algorithm with Feature Keyword Expansion
Authors: Jin Chun Xia , Zhou Hai Yan , Bai Qiu Chan
Published: June 2012

To solve the problem of sparse keywords and similarity drift in short text segments, this paper proposes short text clustering algorithm with feature keyword expansion (STCAFKE). The method can realize short text clustering by expanding feature keyword based on HowNet and combining K-means algorithm and density algorithm. It may add the number of text keyword with feature keyword expansion and increase text semantic features to realize short text clustering. Experimental results show that this algorithm has increased the short text clustering quality on precision and recall.
An Efficient Algorithm for Computing the k-Error Linear Complexity Spectrum of Periodic Sequences
Authors: Ma Ling Yong , Cao Hao
Published: June 2012

An efficient algorithm for computing the k-error linear complexity spectrum of a q- ary sequence s with period 2 pn is presented, where q is an odd prime and a primitive root modulo p2. The algorithm generalizes both the Wei-Xiao-Chen and the Wei algorithms, The new algorithm can compute the k-error linear complexity spectrum of s using at most 4 n+1 steps.
A Robust Star Acquisition Algorithm Based on Facet Model
Authors: Li Guang Rui
Published: June 2012

An efficient and robust star acquisition algorithm based on facet fitting is presented to improve the performance of star sensors. The location of star central pixels can be determined by searching extremum intensity pixels among the point spread function (PSF) of stars, which is well fitted by the cubic facet model. According to extremum theory, the second derivative operators are pre-calculated and the searching process can be completed using convolution operations thrice. Simultaneously, cluster formation is also a time consuming routine, which is accomplished using specific maximum and minimum threshold to speed up it. A variety of experiments are carried out to validate the performance of proposed algorithm, moreover, the performance evaluation index M is presented. The results clearly show that the proposed algorithm makes a great progress than the vector method in time expense and accuracy under intense noise conditions.
BP Network Optimization Based on Improved Genetic Algorithm
Authors: Sun Wei Wei , Yao Yun Fei , Wang Chun Sheng , Hu Ye Gang
Published: June 2012

In view of the virtue and shortage of genetic algorithm and BP network, this paper proposes a new BP network training method based on improved genetic algorithm (IGA-BP). This algorithm uses hierarchical code, adaptive crossover and mutation, pruning similar chromosomes, dynamic supply new chromosomes and other operations, so the network structure and weight are optimized at the same time and the "premature" phenomenon is avoided. The simulation results show that the IGA-BP network architecture is simple, the convergence rate is quick, and has good approximation and generalization ability.
An Audio Watermarking Algorithm Based on Chaos
Authors: Tang Hong Bin , Liang Ben Bin
Published: June 2012

This thesis proposes a new algorithm of the Chaos-based audio data hiding. The Chaos theory is introduced in design a new algorithm of the audio data hiding: with one section of audio as the watermarking, the Chaotic sequences select one part of the original audio signal as the carrier, and then embed the Chaos-encrypted audio watermarking into the carrier’s wavelet coefficients. Experimental results show that embedded watermark is imperceptibility and robust to many attacks, such as noise adding, re-sampling, low pass filtering, reverberation, MP3 compression and re-quantization and so on.
An Efficient K-Shortest Paths Based Routing Algorithm
Authors: Lian Jian , Zhang Yan , Li Cheng Jiang
Published: June 2012

We present an efficient K-shortest paths routing algorithm for computer networks. This Algorithm is based on enhancements to currently used link-state routing algorithms such as OSPF and IS-IS, which are only focusing on finding the shortest path route by adopting Dijkstra algorithm. Its desire effect to achieve is through the use of K-shortest paths algorighm, which has been implemented successfully in some fileds like traffic engineering. The correctness of this Algorithm is discussed at the same time as long as the comparison with OSPF.
The Present Development Situation of Air-Coupled Ultrasonic Non-Destructive Testing Technology
Authors: Dong Zhu , Jun Zhan Ren , Ma Yong Zhong , An Xiao Ning
Published: June 2012

Air-coupled ultrasonic non-destructive testing technology, possessing the characters of complete non-contact and non-destruction, can be used in some situations in which traditional testing is hardly applicable. This article summarized the development of air-coupled ultrasonic non-destructive testing technology briefly, the main existing problems that restrict its progress are analyzed respectively from three processes, concluded and summarized the development and progress of the current solutions to these problems. People can promote the development of this technology more efficiently and directly by the research of its present development.