bluuebunny/crossref_metadata_2025 huggingface dataset:
A Parallel Implementation of the K-Means Algorithm Based on MapReduce
Authors: Yan Wei , Zhou Jing , Huang Qi , Shi Lei
Published: July 2014

With the data explosion, data mining algorithms are required to deal with huge amounts of records. In the traditional way, the processing goes in one single control flow, the time spent in computing grows fast with the increasing of data scale. K-means is one of the widely used algorithms in cluster analysis. MapReduce is a programming model which has been widely used for processing data in a parallel environment. This paper gives an implementation of the K-means algorithm based on the MapReduce model, so that the clustering system could handle the massive data in a fast and scalable fashion. The brief structure of the algorithm and the analysis for the main improvement are also given. We demonstrated that the algorithm will be superior when the volume of data grows bigger or the number of nodes in the computer cluster grows much bigger.
The Research of Improving Clothing Crossing-Selling Based on Apriori Arithmetic
Authors: Zhang Chi , Liu Yi , Sun Fang Shuai , Yao Li
Published: July 2014

First, we describe crossing-selling and association rules. And then with the study of a correlation clothing store sales data, it shows the Apriori algorithm applies in specific association analysis. We can propose a model which is suitable for crossing-selling. Through commercial test, the algorithm can significantly increase sales of the relevant product.
Research of Propagation Behavior on Tibetan Network Public Sentiment
Authors: Li Ying Xing , Wu Ai Lan , E Ya Ni
Published: July 2014

In the past some of the social and economic system of the study, often simplified to a single person's behavior can be described using the Poisson process stationary random process. However, since 2005, and reply by email, mail Propagations, human behavior, the actual statistics of time intervals, it was found there with the above assumptions these acts very different characteristics: a long period of silence and short-term high-frequency The outbreak, while present in these human behavior, the time interval distribution also satisfy the inverse power function of the fat tail, that is, during the occurrence of these acts can not be described by Poisson process. In order to study public sentiment of the Tibetan language network generation, transmission and disappearance of the law, it is necessary in the public sentiment research networks in the spread of the main roles. In this paper, the network user behavior patterns in Tibetan, Tibetan text of automatic segmentation, user behavior of the subject property and the main information dissemination and other aspects of behavior modeling are discussed.
Towards the Evaluation of Suffix Trees
Authors: Wang Xiao Peng
Published: July 2014

The implications of stochastic epistemologies have been far-reaching and pervasive. After years of natural research into massive multiplayer online role-playing games, we show the compelling unification of courseware and the Internet. Our focus in this work is not on whether courseware and hash tables can interact to overcome this issue, but rather on describing a novel application for the improvement of Internet QoS (WEY).
A Path Planning Algorithm Based on the CNN Model under the Curvature Constraint
Authors: Wang Shu Jun , Wang Xiao Nian , Jiang Ping
Published: July 2014

This paper proposes a new path planning algorithm based on the CNN model. The path planning problem is completed with the dynamics of CNN by establishing a relationship between path control points and CNN cells. Based on the analysis of one dimensional space of CNN algorithm, a CNN equation is constructed and the path updating algorithm under the curvature constraint is obtained, then the stability of the algorithm is discussed. Path planning simulation based on two-dimensional space shows that this algorithm can avoid re-planning or falling into the local minimum, which means it can be successfully used in the path planning and maintenance of robots on the ground in dynamic environment.
A Fast Locating Algorithm of Vehicle License Plate under Complex Scenes
Authors: Lei Yang , Zhang Ying
Published: July 2014

A vehicle plate location algorithm under complex scenes is presented that based on interest region extraction and morphology. First of all, extract the edge of the lane, obtain the driveway area from the edge of the road, confirm the region of interest with the experiences in the driveway area, it can reduce the scope for searching. Then preprocessing is used in the vehicle image, including gray, edge detection and binary transformation is used. Then a series of morphological operations are used to look for candidate regions that probably contain the characters in range of sizes. Finally, the vehicle license plate can be found according to the median filter.
Simulation of CVD Diamond Film Growth by Method of Revised KMC
Authors: Zhang Li Zhu , Wang Fu Zhong
Published: July 2014

The growth of CVD diamond film was simulated by using revised KMC method. The simulation was conducted at CH3 radical concentration (0.01%-0.03%) and atomic hydrogen concentration (0.01%-0.5%). The results showed that: The CVD diamond film growth under revised KMC method is superior, which is in good agreement with the experimental results. The concentration of CH3 ([CH3]) and the concentration of atomic H ([H]) can produce important effects on the film deposition rate, surface roughness and the concentration of atom H embedded in the film.
Allocation Scheme of Short Training Sequence Based on OFDM-PON
Authors: Guo Song Lin , Chen Xi , Xu Chao Xing , Jiang Yuan , Li Ying Chun
Published: July 2014

A new structure of short training sequence for symbol synchronization in OFDM-PON system is proposed in this paper. By adjusting the subcarrier allocation scheme of short training sequence in a wireless LAN, it makes the mean of short training sequence signal in time domain from non-zero to zero mean and solves the receiving data demodulation interference caused by the wrong trail of the non-zero mean short training sequence in time-domain. Data demodulation simulation and experimental results show that the improved method can effectively reduce the training sequence interference errors caused by tailing.
Three-Dimensional Yarns Modeling for Tufted Carpet Simulation
Authors: Li Jiang Hua , Chen Guang Feng , Huang Qing Qing , Wei Xin
Published: July 2014

Yarns modeling are the key problem for tufted carpet 3D visual simulation. This paper deals with three-dimensional yarns structure modeling for tufted carpet simulation. The yarn is modeled as an assembly of fiber bundles which also include of a lot of fibers. to simulate fiber bundle dividing fiber bundle into many segments along its trajectory, and each fiber paths displayed are generated by NURBS curves. Through control the control points and color of NURBS to get certain cross-section and color effect of fiber bundle outlook. And finally use the fiber bundle to form the final yarn model. Test result shown the modeling method is suitable for carpet simulation.
Equivalent Integral Equations of the Static Schrödinger Equation by Variation of Constants Method
Authors: Zhang Sheng , Cai Bin , Wang Di
Published: July 2014

As a milestone method, the inverse scattering transformation is also known as the nonlinear Fourier transformation for solving nonlinear partial differential equations analytically. The equivalent integral equations play a crucial role for the inverse scattering transformation. In this paper, the equivalent integral equations of the static Schrödinger equation are derived by the variation of constants method. The derivation of the equivalent integral equations provides with a necessary help for the beginners to study the inverse scattering transformation method in soliton theory.
Relaxation Properties of the Solid Propellant Based on Hydroxyl-Terminated Polybutadiene
Authors: Xie Zhi Min , Chen Si Chi , Wang You Shan
Published: July 2014

The polymer-based propellant is a typical viscoelastic material. Better understanding of the relaxation properties of the propellant in the storage conditions is of great importance for predicting the lifetime. Due to the component complexity of the composite propellants, the transformation relation between the relaxation modulus and the complex modulus may not be suitable for all kinds of propellants. In the present work, we focused on the transformation of the relaxation modulus and complex modulus for the HTPB propellant. The master curves for the relaxation modulus and the storage modulus of the aged/unaged HTPB propellants were obtained by performing the stress relaxation tests and DMA tests, respectively. It was found that there existed a great difference in the double logarithmic plot between relaxation modulus and storage modulus master curves. Moreover, the testing results for the relaxation modulus and the storage modulus were well fitted by an empirical transformation relation with three segment-related coefficients. These three coefficients were determined by using the unaged samples, and then were applied to estimate the relaxation modulus of the aged samples. A good agreement between the calculation and the experimental results was also found, revealing that the three coefficients were insensitive to the aging time.
An Improvement of the Method for Paraphrase of Chinese Double Negation
Authors: Wang Zhong Jian , Zhang Shu Jian , Gao Yan Feng , Lin Yan Fen , Wang Zong Jie
Published: July 2014

By using part of speech information to similarity calculation of paraphrase sentences, the similarity calculation method is improved. The improved method includes multi information of paraphrase text, such as, matching words information and part of speech information. A small-scale comparing experiment of double negation sentence paraphrase for two method of similarity calculation has been done, and the experimental results indicated effect of improvement method.
Water Fluid Simulation with an Improved SPH Method
Authors: Zhao Xin
Published: July 2014

An improved SPH method for water fluid simulation was proposed in this paper. We used higher order splines to improve the stability, and two layers virtual particles to solve particle inconsistency problem near the boundary area. Due to the improvements paid more attention on details, we obtained more realistic and stalbe effect, which was different with previous works. Experimental results showed that our method was realistic, and could achieve real-time frame rate when particle amount was less than 10000.
The Applications Based on the Rough Set Theory Algorithms to Determine the Weight
Authors: Chen Ning Ning
Published: July 2014

This paper puts forward on the Rough Set theory algorithms, and combined it with the method of determining the index weights, then established a weight determined algorithm model based on rough set, Thereby reducing the influence of subjective factors on the weight determination.
The Application of Graph Model in the Cultural Archives
Authors: Sun Ping
Published: July 2014

This article describes a standard document similarity measure, and is used for cultural archives category. And should be used in the classification of cultural archives. the results show that, based on graph model of this representation is valid and feasible.
Deobfuscate Non-Returning Calls and Call-Stack Tampering in Instruction Traces
Authors: Qiu Jing , Su Xiao Hong , Ma Pei Jun
Published: July 2014

Instruction traces are essential for dynamic analysis in reverse engineering. Code in instruction traces is often obfuscated to hinder analysts from understanding and analyzing in malware and binaries that protected by packers. Non-returning calls and call-stack tampering are two typical kinds of such obfuscation. We propose a deobfuscation approach to fight against these two kinds of obfuscated code. We first apply static analysis on instruction traces to identify obfuscated code. Then we transform obfuscated code into semantically equivalent instructions to make the code be easy to understand. Evaluations results on some packed binaries indicate that our approach works well in deobfuscate instruction traces with non-returning calls and call-stack tampering in high precision.
Static Fault-Tolerant Strategy for High Performance Computing Platform
Authors: Sun Yu , Liu Jun
Published: July 2014

It is an important research issue to ensure the computation correctness for parallel application and enhance the using rate of dynamic computing resource in distributed computing system. Based on the previous high performance distributing computing system, a fault-tolerant and task scheduler was developed, which combined the breathe mechanism, fault-discover mechanism and subtask reschedule mechanism. Experiments show that the fault-tolerant and task-scheduler has good performance and ensures the computation correctness even if when some computing resources fail.
Design and Implementation of Instruction Expert System Based on Improved Genetic Algorithm
Authors: Wu Da Qin , Wang Shan Shan
Published: July 2014

In this paper, the author designed the model of instruction expert system based on improved genetic algorithm and described the realization of improving exercises in detail. In this system, the students can online learn through different modes and receive the guidance from the teacher, meanwhile the analysis to effect the parameter of intelligent tests generating will be produced. So the following exercises focus on the student’s weakness, this is useful to enhance the students’ the knowledge level and operation ability.
Research on Improved AES Encryption Algorithm
Authors: Yang Zi Heng , Li Na , Liu Li Yuan , Qi Ren Ji , Yu Ling Ling
Published: July 2014

AES (Advanced Encryption Standard) in May 26, 2002 became effective standard. AES algorithm research has become a hot topic at home and abroad, and the algorithm has been widely applied in the field of information security. Since the algorithm of AES key expansion part is open, so the key is between the wheel can be derived from each other, the AES algorithm designed for this security risk by generating pseudo-random number. Logistic mapping a certain length, after quantization is used as a key to improve the security of the AES algorithm.
Parameters of Support Vector Machines Model Optimized Method Based on Genetic Algorithm
Authors: Xie Yu Zhen , Wang Zhao Gang , Dai Xiao Wei
Published: July 2014

In order to obtain more accurate parameters of support vector machine model, using genetic algorithm to optimize the parameters is an effective method. This paper analyzes the principle of support vector machine for regression, support vector machine kernel function selection, kernel parameters, penalty factor selection and adjustment methods, taking into account genetic algorithm is effective in solving optimization problems, proposed a method using genetic algorithm to optimize the parameters of support vector machine, which uses genetic algorithms to make cross-validation error minimized. The simulation results demonstrate the effectiveness of this method.
The Implement of Parcel Sea Map Automatic Mapping Algorithm
Authors: Song De Rui , Cao Ke , Hao Yu
Published: July 2014

Parcel Sea Map mapping is currently implemented by manual, which causes the task tedious and error prone. To overcome this problem, this paper proposes an automatic mapping method for Parcel Sea Map. The boundary point data are basic mapping elements, which are obtained from sea cadastral survey. The mapping result can be demonstrated by two aspects: convex polygon and concave polygon. For convex polygon, well known left-turn and convex hull algorithms are adopted. For concave polygon, two algorithms are proposed. One is enumeration and the other is cutting algorithm. The above two mapping results can finally be determined by the inspector from sea cadastral survey. Experiments show that Parcel Sea Map automatic mapping can efficiently reduce the manual burden of present mapping.
A New Network Traffic Classification Method Based on Optimized Hadamard Matrix and ECOC-SVM
Authors: Wang Hong Zhi , Yan Li Hui
Published: July 2014

The traditional network traffic classification methods have many shortcomings, the classification accuracy is not high, the encrypted traffic cannot be analyzed, and the computational burden is usually large. To overcome above problems, this paper presents a new network traffic classification method based on optimized Hadamard matrix and ECOC. Through restructuring the Hadamard matrix and erasing the interference rows and columns, the ECOC table is optimized while eliminating SVM sample imbalance, and the error correcting ability for classification is reserved. The experiments results show that the proposed method outperform in network traffic classification and improve the classification accuracy.
Numerical Simulations of Two Four-Petal Gaussian Beams Propagating in Strongly Nonlocal Media
Authors: Yang Zhen Feng
Published: July 2014

The interaction of two four-petal Gaussian beams propagating in strongly nonlocal nonlinear media is investigated. The results show that the intensity evolution of two beams during their propagation is periodical, which is similar to that of a single beam propagation. However the combined optical field of two beams during propagation is more complicated than that of a single beam. During propagation, the two beams are attracted each other, and at the superposed region of two optical fields, the interference fringes appear. The influences of different beam orders and different input powers on the propagation properties are also discussed.
Extending the α-Algorithm to Mine Repetitive Task Based on Complex Structure
Authors: Li Hong , Wei Yu , Ye Xiao Hu , Yao Shao Wen , Yang Jun
Published: July 2014

Process mining is helpful for deploying new business processes as well as auditing, analyzing and improving the already enacted ones. The business process system log often has a large number of the namesake task and repetitive task. The existing alpha algorithm of the mining algorithm cannot distinguish them very well. It leads to the results that the process mining often produce inaccurate flow model. In order to improve the accuracy of the process mining, the paper puts forward an improved method. The new method not only can dig the complex structure, such as circulation structure, free choice structure and so on, it still can dig the eponymous task and repeat task in the log.
Architecture Research and Design of Cloud Computing Service Based on REST
Authors: Huang Kun
Published: July 2014

Cloud computing deployment model has: IAAS, PAAS, SAAS, and they can provide calls for the clients by web services. REST-style cloud computing architecture represents resource by the URI, and operates resources by standard HTTP methods GET, PUT, POST, DELETE, etc. In this paper, the e-city website as example, using REST methods to architect website, logistics, customer, the pay bank. The architecture fully reflects the REST architectural style is simple and convenient. But REST flaw is that the limited transaction-oriented processing capabilities. In order to solve this problem, WASL (Web Application Description Language) is used to describe the REST API.
High Precision Data Processing Method Based on the Complex-Step Differentiation
Authors: Tan Feng Lei , Guo Ya Kun , Nie Yong Ming , Sun Fuan
Published: July 2014

Finite differencing is a very commonly method used in numerical algorithms to compute derivatives, which is well known for its accurate precision. Besides, the best advantage of this method resides in the fact that it is extremely easy to implement. But the finite differencing may be in a dilemma. The reason is that if the step size is large, the precision is not satisfying, but if the step size is small, the error is increased due to subtractive cancellation. In this manuscript, a new method for differential, complex-step differentiation (CSD) is proposed, which uses complex computations to compute derivatives. We first give a detailed account of the principles of the complex-step differentiation. Then analyze the CSD method from two sides, error and efficiency. At last, the implementation of CSD in MATLAB is presented. Simulating results indicate that they are fitting well with the theoretical analysis.
Research on Materialized Views under Disk-Space Constraint in Data Warehouse
Authors: Ma Lei
Published: July 2014

Materialized view is an important topic in data warehouse research, and also affects the query efficiency and maintenance cost. The disk-space view-selection problem is to select a set of materialized views for the purpose of minimizing the total query processing cost and the total maintenance cost. In this paper we introduce evolutionary algorithm using stochastic ranking algorithm, which can enable materialized view selection under disk-space constraint. The algorithm improve the stochastic ranking algorithm, which can find a near-optimal feasible solution. This paper use the algorithm in Police data warehouse.
Review of Otsu Segmentation Algorithm
Authors: Dong Yan Xue
Published: July 2014

Image segmentation is the key step in the process from image processing to image analysis. Otsu method is one of the most successful methods for image thresholding because of its simple calculation. Otsu method can select threshold automatically and divide the object from the background in the image. In this paper, various Otsu algorithm are studied.
Singularly Perturbed Systems with Diffusion and Time Delay
Authors: Wang Chang You , Dou Qi , Li Xiang Wei
Published: July 2014

The singularly perturbed systems for the nonlinear three-species food-chain reaction systems with time delay are considered. By using the method of the stretched variable, the formal asymptotic solution is obtained under suitable conditions.
Simulation Analysis of a Statistical Model for Herd Mentality Trend
Authors: Pan Shi Ying
Published: July 2014

Herd mentality is a universal, objective social psychological phenomenon in humans describing how people are influenced by their peers to adopt certain behaviors even against their wishes. Herd mentality has a dual nature. This paper analyzes the performance and causes of herd mentality, and makes appropriate adjustment strategy, which has great significance to both the individual and national development.
Virtual Simulation of Aerobics Movement Based on Vision
Authors: Wang Xiao Hui
Published: July 2014

In aerobics, the motion state randomness of key feature points is great, so it is difficult to establish an accurate dynamic model for sports' shape base. Traditional 3D reconstruction algorithms use fixes shape base which hardly expresses the change parameters of complex movement and motion law of large-scale dynamic features, thereby leading to non-realistic reconstruction results. The paper proposes a new reconstruction algorithm for aerobics 3D motion images that corrects the neighborhood system of feature points by motion parameters until the parameter is stable to ensure accuracy and the stability of correction. The simulation results show that, the proposed algorithm avoids drawbacks of sports reconstruction results caused by the great randomness of aerobics' motion state, thereby complete 3D reconstruction for aerobics' motion images.
Analysis on Digital Signal Processing and Algorithm Based on Coherent Light
Authors: Xing Ye , Zhang Lu , Cheng Zhe Yuan , Gu Kai
Published: July 2014

In order to use minimal cost to compensate signal distortion caused by fiber dispersion and carrier phase noise etc, this paper mainly puts forward 2 different self-adaption compensation algorithms in algorithm part of digital signal processing, through test and comparative analysis, it indicates that the performance of the best matching and the nature expression based on GCT is the best.
Brief Report of Implementation of T9 Input with Python and Evaluation
Authors: Wang Ying Jie
Published: July 2014

In this practical, a program of t9-like recognition of a word will be implemented. The n-gram model will be adopted for the recognizing process. Finally, the program will be evaluated for both types with smoothing and no smoothing.
Simulation Study of Waveform Variation of Fixed Assets Based on Logical Database Structure
Authors: Liu Si Ping
Published: July 2014

Investment in fixed assets is the main aspects of the national government to implement macro-control economy, and it is also the pillar of national economic growth. At the same time, the investment of enterprise fixed assets is to upgrade its commercial value and add the main source of income. However, in the current business competition, many enterprises especially private enterprises often make the mistake of judgment, resulting in too much investment, investment deviation and other consequences, which blocks the development of enterprises and the growth of the national economy. Firstly, this paper analyzes the computer aided technology, and constructs the fixed asset investment model based on database management technology, and does computer simulation on this model. The results show that the investment model can help enterprises to make reasonable investment decision and support theory, which promotes the enterprise value.
The Research of Data Mining Based on Neural Networks
Authors: Guo Qiong , Niu Jing
Published: July 2014

Artificial neural network is a kind of network system that simulating human brain information processing mechanism developed on the basis of modern neurobiology research. It not only has the ability to deal with general calculation of numerical data, but also has the thinking for processing knowledge and memory ability of learning. Data mining process based on neural network consists of data preparation, rules extraction and evaluation. In this paper, the research status of data mining, neural network, development trend and application field are reviewed and this paper expounds the basic concepts of data mining, neural network, the basic model and the traditional implementation method.
Towards the Simulation of Evolutionary Programming
Authors: Li Xiang Wen , Zhou Ling , Yuan Lian Hai
Published: July 2014

Many system administrators would agree that, had it not been for hash tables, the simulation of sensor networks might never have occurred. Given the current status of real-time epistemologies, researchers compellingly desire the development of write-back caches, which embodies the confirmed principles of hardware and architecture. We propose a system for digital-to-analog converters, which we call StelaLoma. Even though it at first glance seems unexpected, it is derived from known results.
Effect of Ferrite Volume Fraction on Mechanical Properties of X80 Pipeline Steel
Authors: Liu J. , Zhu G. , Mao W.
Published: July 2014

The effect of volume fraction of ferrite on the mechanical properties including strength, plasticity and wok hardening was systematically investigated in X80 pipeline steel in order to improve the plasticity. The microstructures with different volume fraction of ferrite and bainite were obtained by heat-treatment processing and the mechanical properties were tested. The work hardening behavior was analyzed by C-J method. The results show that the small amount of ferrite could effectively improve the plasticity. The work hardening ability and the ratio of yield/tensile strength with two phases of ferrite/bainite would be obviously better than that with single phase of bainite. The improvement of plasticity could be attributed to the ferrite in which more plastic deformation was afforded.
Software Structural Stability Evaluation Method Based on Motifs
Authors: Shan Chun , Huang Long , Hu Chang Zhen , Zhao Xiao Lin , Ma Jin Sheng
Published: July 2014

The issue on finding an effective evaluation method on software structural stability is rarely touched upon in software security research. An assessment method of software microstructural stability was developed by Khalil in 2002. A new evaluation method on software structural stability is proposed in this paper, which is based on Motifs according to the theory of complex networks. Average shortest path length comparison and clustering coefficient with degree distribution are used in the method, in which the key evaluation indexes are used to analyze software structural stability. The comparison experiments have been done between the proposed method and Khalil’s method. 10 real software systems of different sizes and types are selected in the experiments to verify the proposed evaluation method. The result shows that the proposed method is correct and effective.
Research of Computer Forensics Based on Benford’s Law
Authors: Shan Mei Jing
Published: July 2014

In this paper we construct model in computer forensics by using Benford’s Law, which is one of three famous laws in statistics in linguistics. Especially, we use Benford’s Law to analyze data in file analysis and Anomaly detection. We illustrate that Benford’s Law is able to supply the strategy for data analysis. The future work, Benford’s Law will be the theoretical rule for intelligent compression of mass data.
Using Zipf Distribution to Predict Popularity Data for Storage Systems
Authors: Yang Yin , Li Wen Yi , Zhang Man Ning , Ding Xiao Mei , Dai Jing
Published: July 2014

In this paper we propose to use Zipf-like distribution to predict popularity data in storage systems. It can estimate prediction parameters according to the present statistics of I/O access. We classify the popularity data from every trace, and analyze the prediction rate through the classified popularity data’s characteristic. We synthesize the analysis results in different prediction time granularity and prediction popularity data queue. Finally, we use block I/O traces to discuss the effectiveness of prediction method. The discussion and analysis results indicate that this prediction method can predict the popularity data efficiently.
Study for Embedded Colony Algorithm Based on Morphological Technology
Authors: Chen Ke Yi , Zheng Xiao Yue , Yu Hui
Published: July 2014

The fast image processing based on iterative erosion principle can complete separation of colony image of adhesion target quickly. This algorithm is composed of local threshold method of image binarization; the morphological processing, analyzing; removing the edge based on Hough Transform and using improved iterative erosion algorithm to adhesion target segmentation and counting. The algorithm has scale invariance and self-adaption for recognition different size colony target. The conditional expansion algorithm designed in the paper can effectively modify the count mistakes which are caused by fragments formed by the segmentation of large size targets in the iterative and erosion processes. The algorithm has been applied in portable colony counting instrument on ARM11 embedded platform. Twenty heterotrophic bacterial samples have been tested in experiments. The results show that this algorithm can realize the image segmentation rapidly and effectively and the time of analysis is less than 2 seconds. The images edge detection rate can reach 100%. The detection accuracy can get the requirements of GB 4789.2-2010 and achieve deviation of 3% in colonies’ total number less than 300CFU.The applied of algorithm is widely in the similar particle image analysis system.
Study on Traveling Salesman Problem Based on the Improved Chaos Ant Colony Algorithm
Authors: Yang Hai
Published: July 2014

In this paper an improved chaos ant colony algorithm based on return optimization strategy, elite strategy and intersection removal strategy is proposed. The improved algorithm uses orthogonal method to cluster the target points, then adopt chaos technology to optimize initial solution of the ant colony to improve individual quality and chaos perturbation is utilized to avoid the search being trapped into local optimum solutions. The simulation results show that the improved algorithm has higher efficiency in finding optimal path and it is a novel method to solve traveling salesmen problem.
An Improved Scheduling Algorithm for Cloud Storage
Authors: Wang Pei
Published: July 2014

In this paper,the authors briefly describe the development of cloud storage and give an improved cloud storage model. This paper proposes a scheduling algorithm based on Priority (SAP). According to the priority of data block ,the algorithm schedules on mastering the supply and demand of data block comprehensively and accurately, and solves the system's launch delay and the continuity of streaming media player.
A New Spatial Correlation Model Based on the Distributed RC-∏ Model
Authors: Liu Xiao Xiao , Shao Jing Bo , Zhao Ling Ling
Published: July 2014

To solve the crosstalk noise question in deep-submicron technologies, a new spatial correlation model based on the distributed RC-π model is proposed in this paper. Quiet aggressor net and tree branch reduction techniques are introduced to the distributed RC-π model, and a new spatial correlation model of both Gaussian and non-Gaussian process variations among segments is created. Experimental results show that our method maintains the efficiency of past approaches, and significantly improves on their accuracy.
Maneuvering Target Tracking Algorithm Based on Particle PHD Filtering
Authors: Gao Song , Chen Chao Bo , Gong Qian
Published: July 2014

As for the problem of maneuvering target tracking in the clutter environment, this paper combines IMM with PHD and realizes it through approach of particle filter. This algorithm avoids the troublesome problem of data association, and takes advantage of probability hypothesis density (PHD) filter in tracking maneuvering targets and interacting multi-model (IMM) algorithm in the field of model switching effectively, in the clutter environment, the status of the targets can be estimated precisely and steadily. This paper compares the proposed filtering algorithm with the classical IMM algorithm in performance, and the simulation results show that, the improved filtering algorithm has good tracking performance and tracking accuracy.
Simulation of Whole Movement Process of Muzhuping Landslide with DDA and Prediction of Surge
Authors: Dong Zhi Hong , Ding Xiu Li , Wu Ai Qing , Lu Bo
Published: July 2014

The surge wave induced by the landslide on reservoir bank is extremely disaster .The prediction of surge height is a difficult problem because the velocity of landslide is hard to obtain. The discontinuous deformation analysis (DDA) is able to simulate landslide movement with real time and acceleration. The whole movement process of Muzhuping landslide in the Qing river reservoir is simulated by DDA method, including startup, accelerating, deceleration and stop, and velocity along time is obtained. Last, empirical formula for computing surge height is discussed.
State-Space Model and Simulation for Dynamic Stall
Authors: Lei Wei Dong , Hu Guo Cai , Liu Quan
Published: July 2014

Because of the complexity of the progress of dynamic stall, the characteristic of dynamic stall of airfoil is always the difficulty of aerodynamics. A time-domain model has been formulated to represent the unsteady lift and pitching moment characteristics of a two-dimensional airfoil undergoing attached-flow conditions in a compressible flow and dynamic stall. The model is given as a set of first order differential state equations. The Beddoes-Leishman model was presented through modeling the effects of attached flow, separated flow and dynamic stall in the paper. A modified method is presented which includes a new stall-onset criterion and improves the position and separation conditions of the leading edge vortex, so that the B-L model is adaptive for lower Mach numbers. Then, the normal force and pitching moment on NACA0012 airfoil was calculated and compared with available experimental data to validate the reliability of the model.
Ratio Based Weapon System of Systems Capability Gaps Assessment Method Research
Authors: Zhang Xiao Xiong , Yang Ke Wei , Zhang Bin , Jiang Jiang
Published: July 2014

Weapon system of systems gaps assessment (WSoSCGA) is a key problem in the field of weapon demonstration research. Traditional methods have a lot of work to do and lack science. This paper tries to solve this problem in a novel way based on capability ratio. All the criteria should be normalized differently according to their own attributes. By combining the subjective weighting method and objective weighting method, synthesized weights are formed and inputted into a framework to determine their relative capability values. Then we can evaluate weapon system of systems gaps by comparative analysis. In contrast with traditional methods, there is no need to calculate specific capability value of each SoS for gaps assessment. At last, a case is conducted to illustrate its utilization and demonstrate its effectiveness and feasibility for WSoSCGA.
Synthesis and Characterization on a Kind of Polycarboxylate Superplasticizer
Authors: Li Xing , Zheng Guang Jun , Bi Yao , Fu Cheng Fei , Yuan Ming Hua , Wang Shao Feng
Published: July 2014

This study was undertaken to evaluate a new kind of polycarboxylate superplasticizer .Used polyoxyethylene ether (TPEG), acrylic acid (AA) as the monomer, ammonium persulfate (APS) as initiator, thioglycolic acid (TGA) as chain transfer agent, synthesised polycarboxylate superplasticizer with high water reducing rate. The effect of admixtures on fluidity and concrete slump were discussed in this paper. The structure of carboxylic acid water reducing agent was characterized by IR spectra and Gel permeation chromatography.This investigation also evaluated the influence of different serials of polyoxyethylene ether (TPEG), the dosage of acrylic acid (AA) and ammonium persulfate (APS).
A Particle Swarm Optimization Algorithm Based on Simulated Annealing
Authors: Yan Zi Chao , Luo Yang Shen
Published: July 2014

The passage aims at solving the problems resulted from the optimized process of Particle Swarm Optimization (PSO), which might reduce the population diversity, cause the algorithm to convergence too early, etc. A whole new mutable simulated annealing particle swarm optimization is proposed based on the combine of the simulated annealing mechanism and mutation. This new algorithm substitutes the Metropolis criterion in the simulated annealing mechanism for mutagenic factors in the process of mutation, which both ensures the diversity of the particle swarm, and ameliorates the quality of the swarm, so that this algorithm would convergence to the global optimum. According to the result of simulated analysis, this hybrid algorithm maintains the simplicity of the particle swarm optimization, improves its capability of global optimization, and finally accelerates the convergence and enhances the precision of this algorithm.
Evaluation of Ground Thermal Infrared Camouflage Using Pure Technical and Pure Scale Dynamic DEA Model
Authors: Li Ling , Lü Xu Liang , Li Bing Zhen , Li Xiao Peng , Wang Huai Xiao
Published: July 2014

For coping with modern thermal infrared reconnaissance, thermal infrared camouflage is becoming the hotspot of camouflage pattern research. Concerning the traditional methods on evaluating ground thermal infrared camouflage can’t solve the “dynamic” problem and the pure technical as well as pure scale efficiency. This article established new models to figure it out. The new measure introduced time parameter to construct dynamic model, then it set up pure technical dynamic DEA model which supposed it had variable returns to scale. Through the relationship among technical, pure technical and pure scale DEA model, we can get the pure scale dynamic DEA model. Finally, an example was calculated which shows the application of the new models.
Research on Phase Locked Loop Software Parallel Processing Methods
Authors: Li Ren Long , Fu Gang , Wu Yan Jun , Wang Li Ping
Published: July 2014

Signal processing speed is an important indicator of the performance of software based phase locked loop. Previous software uses data redundancy of phase locked loop based on parallel processing, but the amount of redundant data lead to the introduction of computer waste of resources, reducing efficiency and other issues. Design of a parallel processing method based on data blocks and redundant data segments dual dynamic partitioning, given the dynamic data partitioning strategy.
Look the Partial Equilibrium with the Global Optimum from the Problem of the Shortest Circuit for Three Villages
Authors: Jiang Xiao Wei , Hu Yu , Yang Yue Ting , Luan Tian
Published: July 2014

We explore the relationship between the partial equilibrium and the global optimum from the problem of the shortest circuit for three villages (PSCTV). Using the related properties of Fermat point and the circumcenter of the triangle, we can come to the conclusion that the partial equilibrium sometimes brings into correspondence with the global optimum but there is a great deal of difference between the two by analysing the difference between the sum of distances from Fermat point to all vertices and the ones from circumcenter to all vertices.
High Cycle Fatigue Performances of Advanced High Strength Steel CP800
Authors: Gui Long Ming , Jin Xiao Chun , Li Hong Tao , Zhang Mei
Published: July 2014

A low carbon content and improved steel making practices have imparted advanced high strength steel (AHSS) CP800 with superior combination of strength, ductility and weldability. Its performance in fatigue, however, is not well understood. Stress-controlled high cycle fatigue (HCF) tests were conducted to obtain stress vs. fatigue life curve (S-N curve), and the fatigue limit of CP800. The follow HCF performances were obtained. , SRI1=1940MPa, b=-0.09972, Nc1=2.89×106, and R2= 0.88. The collected material data are used as a basis of comparison of CP800 with more common grades of structural steel. CP800 steel shows high strength, comparable ductility, and high fatigue limit level. The test results indicate that compare to that of lower strength common grades of structural steels, CP800 steel has a much higher fatigue endurance limit (say, 476MPa), about 0.6 of its tensile strength (TS). Thus, provides a distinct advantage.
A Visual Hiding Algorithm Based on Human Visual System
Authors: Dong Rui , Wang Dao Shun
Published: July 2014

Image information hiding is a way of concealing secret information within another image or file. The previous researches of image information hiding extract secret by calculating. An algorithm based on HVS (Human Visual System) is proposed in this paper. We first decide the embedding region and embedding strength of secret image based on edge and texture information. Then, a pair of invert images is chosen as the cover images, and the stego images are constructed by modifying the pixels of the cover images through the proposed criterion. Correspondingly, the secret image can be recovered through overlaying the two stego images.
A Projected Conjugate Gradient Method for Box-Constrained Optimization
Authors: Li Ting Feng , Liu Zhi Yuan , Du Zhao Bin
Published: July 2014

In this paper, we introduce an algorithm for solving large-scale box-constrained optimization problems. At each iteration of the proposed algorithm, we first estimate the active set by means of an active set identification technique. The components of the search direction corresponding to the active set are simply defined; the other components are determined by nonlinear conjugate gradient method. Under some additional conditions, we show that the algorithm converges globally. We also report some preliminary numerical experiments to show that the proposed algorithm is practicable and effective for the test problems.
A Hybrid Approach for Critical Technology Identification
Authors: Li Cheng Yang , Jiang Jiang , Li Men Jun
Published: July 2014

There have been attempts to indentify critical technology from many alternative technologies. Accordingly, we can form an R&D policy effectively if we can forecast central technologies. Multi-criteria decision-making method and Centrality Analysis have been applied to the problem. However, these two approaches have some limitations. This study proposes a hybrid approach to identify critical technologies in a technology network which take full advantage of experts’ experience in technology field and relationship between technologies at the same time. Fuzzy comprehensive evaluation and Centrality Analysis of node are used in the approach. A case study on hypothetical critical technology identification problem is used to illustrate the proposed approach.
Research on Packet Encryption Algorithm in the Cloud Storage
Authors: Cao Hui
Published: July 2014

The storage and management of the huge data is solved by the cloud storage. The users can access the data whenever and wherever possibly in the cloud. The cloud storage provides convenient services for users. The problem of data security has been paid more and more attention at the same time. Based on the problems of the big data and the high repetition rate, this paper presents the improvement of the existing mainstream encryption algorithm. The algorithm can encrypt the same data, storied in different locations, into different ciphertexts, to make sure the data security in the case of the trusted cloud.
Microstructure and Wear Resistance of Cu0.9NiAlCoCrFe High Entropy Alloy Coating on AZ91D Magnesium Alloys by Laser Cladding
Authors: Huang Kai Jin , Wang Yu Yue , Lin Xin
Published: July 2014

To improve the wear properties of AZ91D magnesium alloys, a Cu0.9NiAlCoCrFe high entropy alloy (HEA) coating was fabricated on AZ91D magnesium alloys by laser cladding using prealloyed Cu0.9NiAlCoCrFe powders. The microstructure of the HEA coating was characterized by OM, SEM and XRD. The wear resistance of the HEA coating was evaluated under dry sliding wear test condition at room temperature. The results show that the HEA coating mainly consists of a simple BCC solid solution phase. The HEA coating exhibits excellent wear resistance. The main wear mechanisms of the HEA coating and the AZ91D substrate were different, the former dominated by oxidative abrasive wear and the latter suffered from both adhesive and abrasive wear.
The Evaluation of Teaching Quality Based on Fuzzy Method
Authors: Zhu Juan , Tian Ji Ya , Hao Jun Hong , Zhang Shu Yan
Published: July 2014

For the problems that the street running state and information was difficult to feedback and reasonable control, we apply the topology model to the street lighting management system, and complete the optimization control in this paper. Using the fuzzy control theory to handle the road signals, the intelligent lighting region controller integrates the thyristor chopper with the autotransformer technology, carries out the soft start and slow slope control to the street light, and realizes automatic voltage and energy saving. At finally, the system can realize the energy-saving control and intelligent, networked management of city street lamp.
Image Fusion Algorithm by Improved Chaos Immune Genetic Algorithm in Multi-Wavelet Transform Domain
Authors: Cao Jian , Li Ti Fang , Gao Yu Peng
Published: July 2014

In order to make full use of texture features of image when fusing images, and taking into account the inherent advantages of fractal theory in this respect, a novel image fusion algorithm, which used fractal dimension and directional contrast, based on multi-wavelet transform was proposed in this paper. So, we put forward a new design of the intelligent lock which is mainly based on the technology of wireless sensor network. Particle swarm optimization (PSO) is a recently proposed intelligent algorithm which is motivated by swarm intelligence. PSO has been shown to perform well on many benchmark and real-world optimization problems; it easily falls into local optima when solving complex multimodal problems. Moreover, the objective indexes, which are image entropy, standard deviation and quality measure, were adopted to evaluate the comparative results of evaluating fusion quality. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by using density calculation of immune theory and adjusting new chaos sequence.