bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis on Acidity and Alkalinity of Metallogenetic Environment in Penecontemporaneous Period on the Bauxite in WZD Area, Northern Guizhou, China
Authors: Cui Tao
Published: July 2014

Acidity and alkalinity of metallogenetic environment in penecontemporaneous period is very important for the informing of high grade bauxite. Through the research on migration regular of elements, the position of rare earth mineral and the qualitative alternation of bauxite we found that metallogenetic environment is acidic in penecontemporaneous period, from top to bottom of the profile acidity is decreased gradually. In the acidic condition, Si and Fe moved downward but Al is relative enrichment in the middle-upper part of profile.
A Vertical Handoff Decision Algorithm Based on QoS Evaluation
Authors: Tao Yang , Zhou Kun
Published: July 2014

In the next generation of heterogeneous wireless network environment, to meet the network requirements of diverse services ,we propose a vertical handoff decision algorithm based on QoS evaluation that refine the handover unit to services. The proposed algorithm consider the needs of the services、 network conditions、 user preferences and other factors, and makes Analytic Hierarchy Process (AHP) and cost function combine to choose the target network that is best meet the requirements of services . Comparing with the vertical handoff decision based on RSS, simulation results show that the proposed method can take full account of the different QoS requirements of various services types to choose the appropriate network, and would not cause performance degradation.
Zero Watermarking Method Based on Enhanced Bit-Plane
Authors: Zhao Jie , Yang Bin Feng , Wu Xiao Yun
Published: July 2014

Traditional watermark embedding introduces inevitably some perceptible quality degradation of the host image. Another problem is the inherent conflict between imperceptibility and robustness. However, the zero-watermarking technique can extract some essential characteristics from the host image and use them for watermark registration and detection. The original image was decomposed into series of multiscale and directional subimages after lifting wavelet transformation (LWT). The high order bit-plane of low-frequency subimage and watermark image are inputs of the cellular neural network (CNN), and the zero-watermarking registration image is the output. To investigate and improve the security and robustness, the original watermark and registration image are scrambled or encrypted. The watermark image can be extracted from the secret image. This algorithm is simple and robust. The proposed method is also simple for hardware realization.
A Fuzzy Clustering Algorithm of Automatic Classification Based on EnFCM
Authors: Han Hong Wei , Tian Lin , Miao Jia Qing
Published: July 2014

Fuzzy c-means (FCM) algorithm is an unsupervised clustering algorithm for image segmentation, and has been widely applied because the segmentation results are consistent with human visual characteristics. Enhanced fuzzy c-means clustering (EnFCM) algorithm is the improved FCM algorithm, which reduces the computational complexity. But, both FCM algorithm and EnFCM algorithm, clustering number still need to be manually determined. This paper, in order to realize the automation degree of algorithm, presents an improved algorithm. It first analyzes the histogram, then automatically determines the clustering number and peak value of each class through use of the peak point detection technology, finally segments image by using EnFCM algorithm. Experiments show that this method is a kind of faster fuzzy clustering algorithm with automatic classification ability for image segmentation.
Analysis of Knowledge Fusion System Model Based on Ontology and Multi-Agent Theory
Authors: Lei Li , Zhang Man
Published: July 2014

Information increase rapidly in recent years which make the effective use of information is not that easy. Knowledge fusion can improve the semantic accuracy and specification of knowledge; it’s a useful way to make the mass disordered information integrated and easy to be recognized for users. The paper proposed a knowledge fusion system model based on ontology and multi-agent theory to meet with the user’ changing needs at any time.
Research on Classification and Encoding of Digital Cultural Relics
Authors: Lei Li , Zhang Man
Published: July 2014

The paper analyzed the status of research on China’s digital cultural relics categorizing and encoding which is beginning to develop in China. From the analysis of the characteristics and importance of digital cultural relics categorizing and encoding, the paper proposed a categorizing model and encoding method for digital cultural relics categorizing and encoding.
Research on Rough Set Theory-Based Customer Division
Authors: Song Gui Juan , Cao Xin , Wang Xin Yue
Published: July 2014

The main idea of rough set theory is to extract decision rules by attribute reduction and value reduction in the premises of keeping the ability of classification. This paper presents the design of model for customer division based on rough set, and uses algorithms for attribute reduction and rule extraction in rough set to analyze the customer of supermarket. This paper also introduces how to achieve the minimum result of attribute reduction and decision-making via decision-making report, winkling redundant attribute and over-rule of decision.
Preparation of Copolymer Modified with Oxidized Starch and Dispersion Ability for Ferric Oxide
Authors: Xu Ji Cheng , Rong Xin Shan , Guo Xiao Rui , Qiu Feng Xian
Published: July 2014

A series of copolymers modified with oxidized starch containing maleic anhydride (MA), styrene sulfonic sodium (SSS) and oxidized starch (OS) were synthesized by the free-radical polymerization. The polymerization is initiated by ammonium persulfate. The effects of content of monomer and initiator, reaction time, reaction temperature on dispersion ability for Fe2O3 were investigated by single factor experiment. The dispersion ability for Fe2O3 measured through UV spectroscopy was studied. The experimental results show that the copolymer has good dispersion ability for Fe2O3 when the mass proportion of monomers is OS:SSS:MA = 1:3:1, the mass fraction of initiator in total monomers is 10 %, reaction time is 5 h, and the reaction temperature is 70 oC. The morphology of the copolymer was observed by scanning electron microscope (SEM). The experimental results indicate that the prepared copolymer modified with oxidized starch could be used in the corrosion inhibitor of high temperature water.
Bacteria Genome Compression Based on the Weighted Context Model
Authors: Chen Min , Jia Xue Ming , Liu Ling
Published: July 2014

The genome compression algorithm based on the weighted context model is present in this paper. In this algorithm, the method to construct the weighted context model is discussed. The adaptive code length of the context models are used to determine the values of the corresponding weights of models. In the coding process, the values of these weights are modified in order to achieve the minimum code length and to enhance the compression efficiency. At last, the proposed algorithm is used to the bacteria genome compression. The experiments results indicate that the algorithm present could produce better compression result than the results by other algorithms.
Research of Geomagnetic Matching Algorithm Based on Artificial Fish Swarm Searching Strategy
Authors: Li Xin , Zhu Zhan Long
Published: July 2014

Geomagnetic matching is a new developmental technology in recent years. For resolving the question of the searching space is too much, a geomagnetic matching algorithm based on AFSSS is proposed, which imitates the fish behaviors such as the preying, swarming, following and leaping etc to achieve the global optimum value, then achieve the emendation of inertial system. Firstly, the affine transformation model between inertial trajectory and real trajectory is displayed. Secondly, from the application of geomagnetic matching point of view, the state of artificial fish (AF), distance and food consistence are defined afresh, and the algorithm flow chart based on AFSSS is given. Lastly, the simulation analysis is performed in an actual magnetic reference map. The simulation results show that the algorithm actualizes the precision localization when the inertial system exist position error, velocity error and heading error and then validates the feasibility of the proposing method.
Given the Principal Disjunctive Normal Form of Simple Proposition Formula
Authors: Chen Zhao Jun , Shi Hui Zhen , Liu Ya Jiao
Published: July 2014

The Lord of the formula of disjunctive normal form is an important content in propositional logic. When the propositional variable is large, the paper gives a formula for the main disjunctive normal form of simple method.
An Interval Slope Approach to Fuzzy C-Means Clustering Algorithm for Interval Valued Data
Authors: Jin Yan , Ma Jiang Hong
Published: July 2014

Interval data is a range of continuous values which can describe the uncertainty. The traditional clustering methods ignore the structure information of intervals. And some modified ones have been developed. We have already used Taylor technique to perform well in the fuzzy c-means clustering algorithm. In this paper, we propose a new way based on the mixed interval slopes technique and interval computing. Experimental results also show the effectiveness of our approach.
Stock Price Prediction Model Based on BA Neural Network and its Applications
Authors: Lv Xiao Yan , Sun Si Long , Liu Hong
Published: July 2014

In view of the deficiency of the basic back-propagation (BP) algorithm based on steepest descent method. Bat algorithm (BA) in intelligent optimization is introduced into the training process of feed-forward neural networks, capturing the optimal solution of the objective function with a small population size and less number of iterations, and a prediction model based on BA feed-forward neural network (BA-NN) is given. By the empirical study of stock price prediction in Sany Heavy Industry, the results show that this method has advantages of frequency tuning and dynamic control of exploration and exploitation by automatic switching to intensive exploitation if necessary.
Architecting Service-Oriented Publish/Subscribe Applications: Data Model and Matching Algorithm
Authors: Dong Biao
Published: July 2014

The existing publish/subscribe (Pub/Sub) systems can't match events with subscriptions based on the semantic of events. Focusing on the production development activities, this paper presented a data model for modeling an ontology-based hierarchical description framework, defined service and its classification characteristics, and analyzed an automatic generation method of building service ontologies for the semi-structured data that exist in the Internet. A subscription matching algorithm was proposed for solving the intelligent semantic matching problem between the subscription and services. The results show that the service-oriented applications guarantee the initial and availability matching of individualized demands and service capabilities.
Comprehensive Similarity Measurement Model Based on Three Algorithms
Authors: Liu Nan , Long Bao Lian , Zheng Xiao Kun , Han Li Fang , Qu Tong , Cui Bao Jiang
Published: July 2014

Software source code homologous detection is also called software copy or software clone. It is used to detect the homologous in the source code, by which we can easily find the plagiarism in the code. In this paper, it will discuss the homology detection results based on Text, Token and Abstract Syntax Tree. And will compare the three techniques and raise a model to calculate similarity by synthesizing the results. This model is based on the analysis of a large number of experimental results. Comprehensive similarity calculation model can calculate the respective contribution of the three algorithms and realize integrated computation of similarity according to this respective contribution. Finally, we can get a comprehensive similarity by this integrated similarity calculation model to make the homology detection results more accurate and closer to the actual similarity.
Decision Making Support Model for the Incident Emergency Management of Migrant’s Group Based on CBR
Authors: Zhang Ding Hua , Cheng Liang , Wu Ren Wei , Wang Jing , Liu Jing Yi
Published: July 2014

This paper presents the findings of a study on decision making models for the migrant’s worker group incident emergency management based on Analytic Hierarchic Process (AHP). Analytic Hierarchic Process (AHP) helps to quantitate and layer the complex migrant’s worker incident emergency management problem, the aim of the work is to improve the support for analysis and decision through the importance comparing of various factors associated layer by layer.A case study conduct in Wukan village Shantou city of Guangdong province revealed that AHP model can do effective decision making
Analysis of Convergence Rate for Improved Generalized Ant Colony Optimization Algorithm
Authors: Zhang Dai Yuan , Zhao Hua
Published: July 2014

Although theoretical result of convergence for improved generalized ant colony optimization (IGACO) algorithm has been proved in recent years, the convergence speed is also an open and difficult problem. This article, based on the Markov model, tries to explore the analysis of convergence speed for IGACO algorithm. Some experiments have been studied to compare the convergence speed between ant colony optimization (ACO) algorithm and IGACO algorithm.
Develop Local Fuzzy Classifier to Modify Low-Confidence Output of Global Classifier
Authors: Ling Ping , Rong Xiang Sheng , Dong Yong Quan , Hao Guo Sheng
Published: July 2014

This paper proposes an assembling classifier consisting of a global classifier and a local classifier, named as GCLC. To this end, we present a weighted Support Vector Machine (wSVM) that serves as the global classifier, and a fuzzy k-nearest neighbor (fkNN) that serves as the local one. When a query arrives, wSVM labels it firstly. If the global decision is below some threshold, the local fkNN works to provide an improved decision. Extensive experiments on real datasets demonstrate the performance of GCLC compared with the state of the art.
Effect of Fiber’s Surface Pretreatment on the Interfacial Bonding Strength between Steel Fiber and Resin
Authors: Yang Hao , Zhang Jian Hua , Sun Guo Yan , Zhang Yi
Published: July 2014

For the characteristic that the mechanical properties of resin composite are lower than cast iron, steel fibers are used to improve its properties in this paper. A weak interfacial bonding strength between steel fibers and resin indicates that steel fibers’ property cannot perform well in the polymer. In order to improve the interfacial bonding strength, four methods of surface treatment, phosphating, acid pickling, oxidation, and coupling are applied to steel fibers, and the corresponding pull-off tests are carried out to compare with untreated steel fibers. Research results show that the maximum interfacial bonding strength is increased by 45.1% after coupling treatment.
An Algorithm of Uncertain Reasoning Considering Subjective Factors
Authors: Han Ye Hong , Chen Ke Tan , Shao Heng , Du Lin
Published: July 2014

An algorithm of uncertain reasoning which more than one result of a new object can be obtained according to the known knowledge is an important part of an expert system. A new object is an especial decision rule which has only a predecessor. In order to resolve the problem that the differences of attributes’ importance in the new object are not considered in traditional methods of uncertain reasoning, a new uncertain reasoning algorithm based on the rules set which is obtained on the basis of the rough set theory is proposed. In the algorithm, both subjective factors and objective factors in the process of reasoning are considered, and the proportion of subjective factors to objective factors can be controlled by users. So the algorithm is better than the tradition method in flexibility and practicability.
A Fuzzy Clustering Algorithm of Web Customers Based on Attributes Reduction
Authors: Wan Hong Xin , Peng Yun
Published: July 2014

The evaluation algorithm is based on the attributes of data objects. There is a certain correlation between attributes, and attributes are divided into key attributes and secondary attributes. This paper proposes an algorithm of attribute reduction based on rough set and the clustering algorithm based on fuzzy set. The algorithm of attributes reduction based on rough set is described in detail first. There are a lot of uncertain data of customer clustering, so traditional method of classification to the incomplete data will be very complex. Clustering algorithm based on fuzzy set can improve the reliability and accuracy of web customers.
Convergence Results of the Improving Modified Gauss-Seidel (IMGS) Iterative Method for a Symmetric Positive Definite Matrix
Authors: Zhang Shi Guang , Zhou Ting
Published: July 2014

In this paper, in order to improve the convergence rates of iterative method solving the linear system, the improving modified Gauss-Seidel (IMGS) iterative method with a preconditioner is proposed. Some convergence and comparison results are given when is a symmetric definite matrix are provided.
Two-Parameter Conjugate Gradient Projection Method and its Application
Authors: Cui Hong Fang
Published: July 2014

On the basis of the conjugate gradient method CD, the artile builds a new two-parameter P-NCD projected conjugate gradient method, the article gives two-parameter P-NCD Conjugate Gradient Method drop projection and on the strong Wolfe line search in the principles of the convergence criteria, the new algorithm is applied to estimate the equation with linear constraints in the model instantiated test ,the results shows good results.
Generalized J Sets Based on Periodic Orbit and Attract Time
Authors: Du Li Ming , Wang Feng Ying , Han Zi Yang
Published: July 2014

The paper introduces escape-time algorithm applied to construct G-J set firstly, and two methods are presented for generating a great diversity of generalized J sets in which the point fall in low-cycle attract collections in the domain. One of the coloring methods is according to attract time, another is by recording the domain of the orbits. We used frieze group map to validate effectiveness for algorithm.
Calculation of Dynamic Stress Intensity Factor by the Boundary Element - Laplace Transform Method
Authors: Zhang Wei
Published: July 2014

Using the Laplace transform and freezing time variable, the problem in the time domain into the frequency domain to solve the problem. The establishment of a crack unit model in the frequency domain, and the boundary integral equation and discrete form containing the crack unit has been deduced. While using Durbin algorithm suitable for transient dynamic response of the inverse Laplace transform, the amount of stress intensity factor of a set of transformation parameters corresponding to the frequency domain into a time domain to obtain the dynamic stress intensity factor of time curve, and calculate the stress intensity factor compared to the boundary finite element method has a Laplace transform high precision, easy to save CPU time and data preparation features, we recommend using this method to calculate the dynamic stress intensity factor.
A Novel Multiobjective Memetic Algorithm Based on IWO-DE and its Application in Nutrition Decision Making Problem
Authors: Wang Gao Ping , Zhang Meng , Zhao Wei Wei
Published: July 2014

In this paper ,we discuss multiobjective optimization problems solved by Memetic algorithms. We present A novel multiobjective memetic algorithm based on invasive weed optimization and differential evolution (IWO-DE) to solve this class of problems .We present the Nutrition Prescription Model for Meals.the IWO-DE is applied to solve the nutrition decision making problem to map the Pareto-optimum front. The results in the problem show its effectiveness.
An Improved Genetic Algorithm for Text Clustering
Authors: Yu Shi Dong , Ding Yuan , Ma Xi Cheng , Sun Jian
Published: July 2014

The genetic algorithm (GA) is a self-adapted probability search method used to solve optimization problems, which has been applied widely in science and engineering. In this paper, we propose an improved variable string length genetic algorithm (IVGA) for text clustering. Our algorithm has been exploited for automatically evolving the optimal number of clusters as well as providing proper data set clustering. The chromosome is encoded by special indices to indicate the location of each gene. More effective version of evolutional steps can automatically adjust the influence between the diversity of the population and selective pressure during generations. The superiority of the improved genetic algorithm over conventional variable string length genetic algorithm (VGA) is demonstrated by providing proper text clustering.
Applied Technology with a Modified Sixth-Order Convergent Iterative Method for Solving Nonlinear Equations
Authors: Fang Liang , Li Yun , Wang Hai Qun , Chen Rui
Published: July 2014

With the rapid development and wide applications of information science and applied technology, nonlinear problems become an important direction of research in the field of numerical analysis. In this paper, we mainly study the iterative method for nonlinear equations. We propose and analyze a modified Newton-type method with order of convergence six for solving nonlinear equations. The method is free from second derivatives. The efficiency index of the presented method is 1.565, which is better than that of the classical Newton’s method 1.414. Some numerical experiments illustrate the efficiency and performance of the proposed method.
CMA Blind Equalization with Quasi-Newton Algorithm in Underwater Acoustic Channels Based on Simplified Cost Function
Authors: Xiao Ying , Ruan Rui
Published: July 2014

The CMA cost function is simplified to meet the second norm form, and a new CMA blind equalization based on quasi-newton algorithm is proposed. Since the CMA cost function does not meet the second norm form, it is difficult to use quasi-newton algorithm to update the blind equalizer directly based on the cost function of CMA. If the cost function is simplified to meet the second norm form, it can use quasi-newton algorithm to update the blind equalizer directly. Thus, the convergence rate and convergence precision of CMA blind equalization can be improved effectively. Simulation results under the acoustic channels show that CMA blind equalization with quasi-newton algorithm based on the simplified cost function has faster convergence rate and less steady state residual error, which has practical value in the blind equalization of fast time-varying underwater acoustic channels
The CPML for Hybrid Implicit-Explicit FDTD Method Based on Auxiliary Differential Equation
Authors: Mao Yun Fei , Huang Pu Hua , Ma Li Guo
Published: July 2014

In this paper, an implementation of the complex-frequency-shifted perfectly matched layer (CPML) is developed for three-dimensional hybrid implicit-explicit (HIE) finite-difference time-domain (FDTD) method based on auxiliary differential equation (ADE). Because of the use of the ADE technique, this method becomes more straightforward and easier to implement. The formulations for the HIE-FDTD CPML are proposed. Numerical examples are given to verify the validity of the presented method. Results show that, both HIE-CPML and FDTD-CPML have almost the same reflection error, while their reflection error is about 30 dB, which is less than HIE Mur’s first-order results. The contour plots indicate that the maximum relative reflection as low as-72 dB is achieved by selecting and .
A Correlation Coefficient Estimation Algorithm Based on Subspace Decomposition
Authors: Wu Na , Si Wei Jian , Jiao Shu Hong
Published: July 2014

the correlation coefficient estimation algorithm based on subspace decomposition is presented in this paper. The correlation coefficient between the signals is obtained by getting eigen-value decomposition of the data covariance matrix, and deriving the relationship between signal subspace and noise subspace. Simulation results verify that this algorithm can be realized to get the correlation coefficient between two incident signals whose DOA are known and the effect of the correlation coefficient estimation is made by different signal direction angular intervals.
The Relationship between Calcium Hydroxide Concentration in Pore Solution and the Strength of Stabilized Soils
Authors: Dai Lei , Deng Xiao Xuan
Published: July 2014

Under the same cement content, the stabilized soils, made of the soils with similar physical properties, may be significant difference in the strength. In this research, three groups of soils were selected, and the soils in each group are similar in physical properties. Strength and ions concentration in pore solution of the stabilized soils were investigated. The result reveals that calcium hydroxide (CH) concentration in pore solution of the stabilized soils might not reach to saturation due to soil consuming Ca2+and thus cause calcium silicate hydrates gels (C-S-H) and calcium aluminates hydrates gels (C-A-H) to form less. The cementitious hydrates are the main strength contributors of the stabilized soils. The Strengths of stabilized soils, the soils bearing similar physical properties, were almost identical as long as the CH concentrations in pore solution were saturated. The effect of chemical factors of soil on the strength of stabilized soil can be briefly attributed to the change of CH concentration in pore solution, and be further attributed to the influence of CH concentration on the amount of C-S-H and C-A-H formed in stabilized soils.
A Novel Blind Watermark Extraction Algorithm Based on Nonsubsampled Contourlet Transform
Authors: Feng Lei , Shi Xiao Fei , Chen Hong Yu , Li Yan Hua , Zhang Yue Long
Published: July 2014

Most existing watermark extraction algorithms were dependent on prior knowledge. This paper proposed a blind extraction method without relying on prior knowledge. According to constructing new observation based on nonsubsampled contourlet transform, which utilizes low frequency and directional components of watermarked image, more independent components are generated. We involve these components into watermarked image and resort this solution to multichannel blind source separation. Estimated watermark is recovered by ICA algorithm. Experiment results indicate that the proposed method can achieve better results in contrast with two existing algorithms.
An Approach for Sentiment Tendency Analysis on Comment Text
Authors: Li Min , Chen Meng Dong , Li Xiang Bin
Published: July 2014

With the rapid development of network, texts which contain position, views and opinions of events are exploding. Texts of review contain author’s feelings, views and tendencies the author wants to express. People need to analyze these texts automatically to acquire sentiment tendency of the author. This paper presents a model for automatic text analysis about sentiment tendency on comment text. The model combines algorithms based on emotional dictionary and Support Vector Machine learning algorithm together, which takes advantage of both algorithms.
An Algorithm of DOA Estimation in Linear Canonical Transform Domain
Authors: Zhao Heng , Zhang Yan Hong , Li Hui Hui
Published: July 2014

An algorithm of DOA estimation based on linear canonical transform is proposed. In this method, the observed signals are first transformed to linear canonical domain, through selecting appropriate transformation parameters, characteristics of the observed signal appear to be energy-concentrated in the corresponding linear canonical domain, and by that, the linear canonical domain steering vector is defined, then root-MUSIC is used to estimate DOA of impinging signals. Simulation examples are provided showing the effectiveness of the presented technique.
Computerized Simulation of Board-Level EMC in High-Speed PCB
Authors: Wu Xian Zhe , Zhang Cheng , Yang Shuang Fei , Zhao Lian Qing
Published: July 2014

Aim at the multi-faceted nature and universality of the EMC problems in high-speed PCB, based on a three-line coupling model and considering the influence of via holes caused, board-level EMC problems of PCB were researched on point for point. In this paper, the research and simulation were launched by a kind of software named Hyperlynx, and a 6-layer PCB model was built and used. Our Research was focused on the EMC problems existed in hierarchy and layer medium. On the basis of the simulation results, and combined with previous experience in the PCB design, some effective measures for improving EMC in high-speed PCB design were summarized, which could be taken as a clearly reference in design of high-speed PCB.
Study on the Pathway of CS Stimulant with KMnO4 Solution
Authors: Zhao Xiao En
Published: July 2014

On base of the main decomposition approaches for CS, the decontamination pathway on CS stimulant with KMnO4 solution was studied through the UV tests. In this paper, with the purpose of safe decontamination for environment, KMnO4 solution has been chosen to change the CS into non-toxic and non-irritating substances with boric acid as catalyst by oxidation-reduction reaction. The results of test showed that KMnO4 solution at the low concentration can finish the effective and safe decontamination of CS in a short time, which was also in accordance with the requirements of human security.
The Research of Key Data Classification Optimal Mining Methods for Massive Data
Authors: Li Yin Ying , Wang Yun Ze
Published: July 2014

The data classification is an important issue in massive data classification. This paper proposes an inter-cell classification algorithm based on phase recombination neighbor points convergence which analyzes the convergence value weights of inter-cell characteristic points and filter the interferences of the minority local optimal characteristic points. The proposed algorithm can promote the convergence of the inter-cell classification data neighbor points. The simulation experiments testify the models by three types of actually collected data sets which illustrate the models have better classification performance.
Group Customer Special Line Correction Algorithm Design and Application Based on PTN Technology
Authors: Zhu Heng Jun , Li Deng Feng
Published: July 2014

The group customer line service has become one of the key businesses for communication operators, and the line PTN technology development currency, the PTN technology application, and the development trend are researched. According to the PTN technology and client group line error correction algorithm, the multi granularity hash correction algorithm is used for data video aware, and when the PTN data is changed fast, the fuzzy block effect happened. The customer line service performance is bad. An improved group customer line correction algorithm is proposed based on PTN technology. The hidden Markov model is used for packet loss rate prediction, and the multiple steps are selected in random, and the data stream iteration algorithm is designed. The tamper detection algorithm is obtained. PTN technology group customer line correction is realized. Simulation results show that the new method can reduce error transmission rate of the PTN group customer line, the customer loss and delay of the data transmission can be controlled, and the peak signal to noise ratio is improved, the error correction performance is better, and it can be effectively applied to communications operator service.
New Seawater Flocculants
Authors: Hao Jian An , Yang Bo , Zhang Xiao Qing , Zhang Ai Jun , Jiang Tian Xiang , Zhang Xiu Zhi , Wang Jing , Zhang Yu Shan
Published: July 2014

This paper introduces new seawater flocculants. Ferric sulfate solution and polysilicic acid were mixed. After standing and curing, polymeric ferric silicate sulfate was obtained. The optimum preparation process was explored. When Fe/Si=10:20, curing pH in the range of 1.0 to 3.0, flocculants had best flocculating activity. The polymeric ferric silicate sulfate solution and 200 μg/L chitosan solution were mixed to make composite flocculants. Flocculating activity assessments were studied. When pH in the range of 6.0 to 10.0, temperature in the range of 10 °Cto 40 °C, flocculating activity could be stable. Total phosphorus (TP) and total organic carbon (TOC) removal rates of new flocculants were higher than 80% while algae and bacteria removal rates of new flocculants were all higher than 90%. These flocculants were multi-effect seawater flocculants.
Joint Spectrum and Power Allocation for Femtocell Based on Graph and Game Theory
Authors: Wang Ying , Zhu Qi
Published: July 2014

In order to mitigate the downlink interference in two-tier femtocell networks, a joint spectrum and power allocation algorithm based on graph and game theory is proposed in this paper. On the premise of ensuring the QoS (Quality of Service) of MUEs (microcell user equipments), we first adopt graph-based clustering algorithm to assign subbands to femtocells. Then, for femtocells of each cluster, their transmitting power is redistributed based on the non-cooperative game theory to further reduce the interference among them. Simulation results show that this algorithm can further improves the performance of the entire system compared with pure clustering strategy and ensures the QoS of MUEs at the same time.
The Research and Application of Data Glove in Virtual Interaction System
Authors: Xu Yu Xiang , Zhu Xi’an
Published: July 2014

The virtual reality technology is used in the mine training simulation areas, which can overcome the limitations of traditional training methods effectively. It can also improve the quality of mine training simulation greatly, reduce training costs, and the users can achieve safe and convenient training. In this paper, a dynamic collision detection algorithm is proposed based on the prediction of the movement direction of a virtual hand, and it is the effective collision detection algorithm using data glove in the mine training simulation system. Compared with the traditional static collision detection algorithm in the performance, the dynamic algorithm is proposed to solve the collision detection between one simulation solid model and another one, and to achieve the function that a virtual hand grip and rotate virtual objects in the virtual environment. The dynamic collision detection algorithm can be extended to other simulation systems.
Genetic Algorithm Design on Scalable Data Mining of Cultural Industry
Authors: Xue Hong Wei
Published: July 2014

In this paper, we use the functional structural principle to extend genetic algorithm, and introduce it to the cultural industry data mining, which solves the problem of data redundancy in the data mining process, improves the data processing speed and design a computer processing system of cultural industry analysis. In order to verify the effectiveness and stability of the system, we use MATLAB numerical simulation to design the program of extension genetic algorithm data mining, and test the data mining using Simulink toolbox. Through calculation, we find with the increase of set threshold, the accuracy of data mining increases, the accuracy of extension genetic algorithm is much higher than the general genetic algorithm.
Time Prediction Based on Process Mining Taking Concept Drift into Consideration
Authors: Huang Fan Fang , Zhang Li Qun , Li Zhao
Published: July 2014

Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. Now many scholars have made a great contribution on predicting the completion time of running instances and a lot of algorithms have been proposed, but they mostly ignored concept drift which means the influence of the external factors. In order to improve the accuracy of the prediction, we take the concept drift into account. We do cluster analysis on the annotated transition system. Experiments show that our algorithm has a considerable degree of improvement over the previous.
SBN Constructing Algorithm Based on Extended MEBN
Authors: Ge Shun , Xia Xue Zhi
Published: July 2014

SBN(Series Bayesian Network) model and constructing algorithm of BN are introduced, and advantages and disadvantages of constructing SBN with MEBN(multi-entity Bayesian networks) are pointed out. Aiming at the demands of constructing SBN, expression of Markov MFrag (MEBN Fragment) within MEBN system is clarified, and probability mapping pseudo MFrags are added, then SBN constructing algorithm based on Markov extended MEBN system is studied and the constructing procedures are illuminated by an example.
A Method for Transforming the Online Handwritten Mathematical Formula into MathML
Authors: Fu De Qiang , Zhang Wen Yin , Jhang Seong Tae
Published: July 2014

This paper employs the Minimum Arborescence model to handle the spatial structure analysis of a mathematical formula, and transforms the directed graph to a trigeminal tree. Also, we utilizes the preorder traversal algorithm of the Ternary-Tree to generate MathML, and display the MathML with Web browser. At last, the experimental results illustrates the recognition rates of online handwritten mathematical formula in various cases.
Distributed Collaborative Filtering Recommendation Model Based on Expand-Vector
Authors: Zhu Ye , Su Hong Yi , Wang Cai Qun , Yan Bo , Zheng Hong
Published: July 2014

The recommendation system based on collaborative filtering is one of the most popular recommendation mechanisms. However, with the continuous expansion of the system, several problems that traditional collaborative filtering recommendation algorithm (CF) faced such as cold startup, accuracy, and scalability are worsen. In order to address these issues, a distributed collaborative filtering recommendation model based on expand-vector (CF-EV) is proposed. Firstly, the eigenvector is expanded reasonably to get the expand-vector based on the expand-vector model, a new extension measure created in this paper. Then, the nearest neighbor user is found and a more accurate recommendation to the target user is given based on the calculation results. In addition, the further optimization makes it applied to the parallel computing framework successfully. Using the MovieLens dataset, the performance of CF-EV is compared with CF from both sides of recommendation precision and the speedup ratio. Through experimental results, CF-EV overcomes the problem of cold startup. Moreover, the accuracy and recall ratio has been doubled. With the increasing numbers of the computing nodes, the distributed implementation has linear speedup.
Improved Ant Colony Algorithm Based on PSO and its Application on Cloud Computing Resource Scheduling
Authors: Yang Hai
Published: July 2014

This paper introduces PSO algorithm into ant colony optimization algorithm so that an improved ant colony optimization algorithm named ACA-PSO is proposed. The ACA-PSO algorithm can get more effective optimal solutions by using PSO algorithm to do crossover operation and mutation operation so as to avoid trapping in local optimum. Finally, the simulation experiment reflects that the ACA-PSO algorithm speeds the convergence up which is more suitable for resource scheduling in cloud computing.
Applying Grey System Theory in an Ideological and Political Education Course
Authors: Zhang Meng
Published: July 2014

Professional skills are important to students who major in ideological and political education. They must be able to conduct the tasks required by the teaching of political activities. Evaluation of the student’s skills can offer a theoretical basis for measuring a ideological and political course, but an effective evaluation method is lacking. Therefore, an evaluation method based on the grey system theory is proposed in this article. First, the educational structure of the ideological and political education is discussed; second, the mathematical model of grey system theory is presented; and third, the structure of the professional skills evaluation model of students majoring in ideological and political education is presented. The evaluation index system, the results of which are drawn from a questionnaire distributed to 800 students, and the evaluation program, is put forward. A case study was carried out, the results of which show that the evaluation method outlined here can contribute to improving overall standards in the course.
An Improved Genetic Algorithm in Vehicle Dispactcher
Authors: Zhu Shan Hong , Tang Pei
Published: July 2014

The traditional genetic algorithm has the disadvantages that hinder the development and promotion of vehicle dispatcher and slow retard the development speed of logistics industry. Through the research of vehicle dispatcher's demand, we have put forward a new genetic algorithm which is improved, effective and adept to the normal vehicle dispatcher. We have proved that this algorithm is feasible and effective by analyzing the examples.
Research on Robustness of Typically Opportunistic Network Routing Algorithm under Flooding Attack
Authors: Yu Geng , Yuan Dong Fang , Cui Yan , Wang Ying Dong , Zong Ping
Published: July 2014

This paper designed the evaluation method and the index system. Through simulating behavior of pedestrian with mobile intelligent Bluetooth devices in the real city scene and did a quantitative analysis about the effects of flooding attacks to opportunity network in the three aspects of transmission capacity, transmission efficiency and energy consumption of nodes , in order to evaluate Direct Delivery, Spray and Wait and MaxProp the three opportunity network routing algorithm’s robustness under the flooding attack results showed that Direct Deliven algorithm robustness is best, it can withstand flooding attacks completely, robustness of the Spray and Wait algorithm is the worst, their performance will decline more than 80% in some scenarios, the performance of MaxProp algorithm under flood attacks will decrease remarkably.
A Localization Algorithm Research to Eliminate the Indoor NLOS Error
Authors: Dong Jia Zhi , Wang Yu Wen , Wei Feng , Yu Jiang
Published: July 2014

Currently, there is an urgent need for indoor positioning technology. Considering the complexity of indoor environment, this paper proposes a new positioning algorithm (N-CHAN) via the analysis of the error of arrival time positioning (TOA) and the channels of S-V model. It overcomes an obvious shortcoming that the accuracy of traditional CHAN algorithm effected by no-line-of-sight (NLOS). Finally, though MATLAB software simulation, we prove that N-CHAN’s superior performance in NLOS in the S-V channel model, which has a positioning accuracy of centimeter-level and can effectively eliminate the influence of NLOS error on positioning accuracy. Moreover, the N-CHAN can effectively improve the positioning accuracy of the system, especially in the conditions of larger NLOS error.
A Purchase Prediction Based on Collaborative Filtering Algorithm
Authors: Fu Zheng , Zhou Lan Feng
Published: July 2014

For a more accurate prediction of the probability of consumers to purchase a commodity, this paper build a users’ behavior model based on correlation analysis with apriori algorithm. The model is built by learning from users’ history data and behaviors’ at present, an experimental result demonstrates that this model can effectively predict consumer buying behavior, and it is better than some traditional methods.
K-Means Clustering Algorithm Method Based on Shuffled Frog Leaping Algorithm
Authors: Tang Zhe , Luo Ke
Published: July 2014

Aiming to resolve the problems of the traditional k-means clustering algorithm such as random selecting of initial clustering centers,the low efficiency of clustering,low in the real,this paper proposed a novel k-means clustering algorithm method based on shuffled frog leaping algorithm.This algorithm combined the advantages of k-means algorithm and shunffled forg leaping algorithm.A chaotic local search was introduced to improve the quality of the initial individual,a new searching strategy was presented to update frog position,that increased the optimization ability of algorithm.According to the variation of the frog’s finess variance used k-means algorithm,it has the advantages in the global search ability and convergence speed.The experimental results show that this algorithm has higher accuracy..
The Application of Cross-Correlation Algorithm in CSAMT Received Data Processing
Authors: Zhou Zi Ping , Zhu Yu , Wang Tian Hao
Published: July 2014

Controlled source audio-frequency magnetotelluric method (CSAMT) is an effective frequency domain detecting method in metallic ore exploration. In view of the weak response of a deep target signal and the serious measuring environmental noise,this paper proposes a method to deal with the noise of the CSAMT data based on the theory of cross-correlation algorithm. Emission signal current waveform recorder is designed to record signal parameters.According to cross-correlation technology, this paper uses the characteristics that correlation between emission and received signals is strong, yet the correlation between emission signals and random noise is weak, to deal with emission signals and received signals by cross-correlation ,in order to filter out random noise and other jamming signals.Field exploration test data processing contrast results show that the method can suppress noise signal, and improve the CSAMT measuring accuracy.
Study of Storm Surge Numerical Simulation in the Bohai Sea
Authors: Zhang Yong Qiang , Leng Qian Lan , Hu Ze Jian , Zhu Zi Chen , Zhang Wan Jun , Bian Shu Hua
Published: July 2014

In this paper, a numerical model of the coupling between astronomical tide and storm surge based on hydraulic model for estuary and coast (ECOM) is confirmed to be suitable for simulation of stormsurge in the Bohai Sea. The spatial distribution of extreme water level and storm current field caused by typhoons in October 2003 are simulated.It shows that extreme water level in deep water are smaller than shallow water and the spatial distribution of extreme water level is influenced by topography.Flow filed in Bohai Sea waters takes on an fluctuation in flow field, compensatory flow and other obvious features during storm surge, compared storm surge with astronomical tide, which is a significant difference in flow filed.
The Gray Relation Analysis of Non-Coal Mine Accidents Causation
Authors: Meng Xiang Yun , Chen Ri Hui , Wang Shi Bin
Published: July 2014

The Gray Relation Analysis is applied to the casualty analysis of non-coal mine accident in four certain years in China to export grey relational order to determine the main related factors in the non-coal mine accident, obtaining quantitative analysis results of the relationship between non-coal mine accident and multiple factors, introducing the concept of mine accident risk correlation degree.
Parallel Sets Based on the Improved ACLEARCR Algorithm
Authors: Zhang Hai Kuo , Sun Ning Wei , Zhang Chong , Jiang Ting Ting , Dai Chang Hua
Published: July 2014

Classic part-labeled data visualization method Parallel Sets is applied to represent visualization of multivariate data with measures. Currently, in all walks of life emerge abundant small records and documents. Thus to sort the massive categorical measures of small value on the variable axis plays an important role in reducing clutters in the view. This paper is based on the Advanced Categories Layout basEd on Average heuRistic with Cardinality Reduction (ACLEARCR), and proposes an optimization sequence algorithm aiming at categorical measures of small value. The case study proves that the proposed method is effective.