bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced Discrete Element Method (EDEM) and its Application to Stability Analysis of the Slope with Non-Through Joints
Authors: Ma Yong Zheng , Cai Ke Jian , Li Zhan Tao , Li Jun
Published: September 2014

A new enhanced Discrete Element Method (EDEM) for modeling the system composed of cracked solids is developed by coupling the traditional Discontinuous Deformation Analysis method (DDA, a kind of implicit version of DEM) with Moving Least-Squares (MLS) meshfree approximation functions. Tracing crack growth inside fracturing blocks and other related capabilities are available in the postprocessing procedure at each iteration step. Some numerical examples are provided to verify this method, and it is prospective to solve stability problems of the slope with non-through joints and other fracture mechanics problems in a new way.
An Interpolation Method for Data Containing Distortions and its Application to Aeromagnetic Data Preprocessing
Authors: Zhang Sheng , Meng Xiao Hong , Liu Ya Ning
Published: September 2014

Nowadays, continuous sampling data have been widely used in the research field. However, many unpredictable distortion data points, caused by varying reasons, appear in the raw data randomly. Therefore, removing distortion data points are obligatory for raw data processing. The conventional method is the artificial recognition method, which has serious problems when applied to large volumes of data. Another way is the filtering method, which is limited by application conditions, has a bad influence on valid data what people do not expect. In this paper, we proposed an effective interpolation method to remove the distortion point. This method based on the assumption that changes between adjacent points in continuous sampling data are limited. The distortions can be recognized from the magnitude and the change rate and removed. At last, the polynomial interpolation method is used to obtain the final result. Such method has been used in the preprocessing of aeromagnetic data and gets a good result.
A Green Function of Vertical Interfacial Point Source SH Wave Scattering by a Circular Lining in an Elastic Quarter Space
Authors: Qi Hui , Luo Guang Long , Pan Xiang Nan , Gao Chun
Published: September 2014

An anti-plane Green function is formulated for steady state solution of a circular lining impacted by a vertical interfacial point source in an elastic quarter space. Series forms of scattering and stationary wave of the circular lining are constructed with Fourier wave function expansion method. Basic solution of the anti-plane point source is employed to represent displacement fields of incident wave. Stress-free conditions on the quarter bounds are satisfied by using image method. Displacement and stress continuity conditions of the lining are expanded as Fourier series to determine definite equations of unknown coefficients of wave function series.
Study of User Interest Model Based on News Recommendation
Authors: Cheng Rui Rui , Chen Hui Ping , Wang Zhao Hui
Published: September 2014

In order to improve the accuracy of news recommendation, this paper established a comprehensive user interest model. First,this paper established a stable user interest model based on user browsing habits .Then,the paper also advanced freshness-based tentative recommendations on the basis of news timeliness and mainstream to get the user's temporary interest model. Finally,the paper combined these two models to establish a comprehensive user interest model. Experimental results proved that the proposed method can recommend specific news articles that best meet the user's reading preferences from a large number of the latest published news.
New Variational Iteration Procedure for some Parabolic Equations with Fourth-Order Derivatives
Authors: Wang Jin Feng , Liu Yang , Li Hong
Published: September 2014

In this article, we present and discuss a class of new reduced order method based on He’s variational iteration procedure. We introduce two transformations and in a single space variable, and then formulate a second-order coupled system of equations. We can obtain the analytical approximate solutions for the scalar unknown u, time derivative and second-order space derivative, simultaneously. Moreover, an extension problem in two space variables is also proposed. Finally, we show some examples to illustrate the effectiveness of our procedure.
Research on Relative Reducts of Rough Set Model in Consistent and Inconsistent Decision Tables
Authors: Yan Tao , Han Chong Zhao
Published: September 2014

Z. Pawlak’s classical rough set theory has been widely applied in analyzing ordinary information systems and decision tables. In this theory, a relative reduct can be considered as a minimum set of attributes that preserves a certain classification property. This paper investigates three different classification properties, and proposes three distinct definitions accordingly. According to the three classification properties, we can define three distinct definitions respectively. Based on the common structure of the specific definitions of relative reducts and discernibility matrices, general definitions of relative reducts and discernibility matrices are suggested.
Simulation Research of Six-Bar Mechanism for Open and Close
Authors: Zhou Xu , Wu Ying
Published: September 2014

For the purpose of researching the six-bar mechanism for open and close and the improvement and use of the mechanism, improving the work efficiency, the three-dimensional solid model of the mechanism was established with ADAMS. Each part of the model in ADAMS was set up. Simulation analysis on the working process of the mechanism was achieved. The structure optimization parameters of the mechanism were obtained. The result proves that when the vertical location of the upper endpoint of lid were increased the horizontal displacement of the lower endpoint of lid reduced. When the locations of revolute joint of lower rocker and link, the horizontal location of revolute joint of lower rocker and lid, the opening force acting on the lower endpoint of lid were increased the horizontal displacement of the lower endpoint of lid added. The sensitivities of the horizontal displacement of the lower endpoint of lid on the initial values of the locations of revolute joint of lower rocker and link, the horizontal location of revolute joint of lower rocker and lid, the horizontal location of revolute joint of lower rocker and frame are greater. The sensitivities of the horizontal displacement of the lower endpoint of lid on the initial values of the vertical location of revolute joint of upper rocker and link, the vertical location of the upper endpoint of lid, the opening force acting on the lower endpoint of lid are smaller.
A Novel Twin Support Vector Machines with Manifold Regularization
Authors: Hua Xiao Peng , Li Xian Feng
Published: September 2014

Twin support vector machine (TWSVM), as a variant of the generalized eigenvalue proximal support vector machine (GEPSVM), attempts to improve the generalization of GEPSVM, whose solution follows from solving two quadratic programming problems (QPPs), each of which is smaller than in a standard SVM. Unfortunately, TWSVM fails to fully consider the local geometry structure and the local underlying descriminant information inside the samples that may be important for classification performance and only preserves the global data structure. In this paper, a novel TWSVM with manifold regularization is proposed by introducing the basic idea of the locality preserving within-class scatter matrix (LPWSM) into TWSVM. We termed this method manifold TWSVM (MTWSVM). MTWSVM not only retains the superior characteristics of TWSVM, but also preserves the local geometry structure between samples and shows the local underlying discriminant information. Experimental results confirm the effectiveness of our method.
Complexity Analysis of Neural Network Based on Rational Spline Weight Functions
Authors: Zhang Dai Yuan , Yang Hai Nan
Published: September 2014

This paper aims to obtain the time complexity for a new kind of neural network using rational spline weight functions. In this paper, we introduce the architecture of the neural network, and analyze the time complexity in detail. Finally, some examples are also given to verify the theoretical analysis. The results show that the time complexity depends on the number of patterns, the input and out dimensions of the neural networks.
A Clutter Suppression Algorithm for GPR Data Based on PCA Combining with Gradient Magnitude
Authors: Lu Qing Qing , Pu Jie Xin , Wang Xiao Hong , Liu Zhong Hua
Published: September 2014

Ground penetrating radar (GPR) is a powerful tool for detecting defects behind reinforced concrete (RC) structures. However, the received data from GPR includes a large number of clutters which are easy overwhelming the signal of target. In order to successfully extract the target signature, these clutters effects need to be eliminated. In this article, a clutter suppression algorithm based on Principal Component Analysis (PCA) combining with gradient magnitude is presented. PCA clutter suppression algorithm is applied to the data and removes most of the echoes from ground surface and portion of other clutters with weak energy. Then gradient magnitude clutter suppression is used to remove majority of the residue clutters. It is demonstrated from simulation that the proposed algorithm is able to significantly suppress the clutters and is superior to the PCA clutter suppression, magnitude clutter suppression and means subtraction method.
Construction of Asymmetric Quantum Product Codes Based Repeated-Root Cyclic Codes
Authors: Fu Pan Yue , Liu Wei
Published: September 2014

A kind of classical product codes based on repeated-root cyclic codes are considered in this paper, and the classical product codes are applied to construct the asymmetric quantum product codes. The novel asymmetric quantum product codes have great asymmetry for correcting Z errors and X errors, and the parameters of asymmetric quantum product codes can be precisely determined by the properties of the repeated-root cyclic codes and their dual codes. The examples show that these asymmetric quantum product codes based repeated-root cyclic codes are more efficient than some existent asymmetric quantum product codes.
Design and Implementation of Data Mining Based on Distributed Computing
Authors: Zhang Jin Hai
Published: September 2014

Beacause internet data has a massive, diverse, heterogeneous, dynamic features, using traditional databases to analyze these data, data storage and processing efficiencies already can not meet the requirements. Utilizing leading-edge distributed computing technology to solve traditional data mining scenarios in lack of data mining of massive data improved data mining algorithm of lot OK Hadoop distributed computing platform, which later on other data mining algorithms using Hadoop to reference while using rich data mining algorithms can be found there is more value in your data.
The Impact of Lossless Information on Algorithms
Authors: Wang Xiao Peng
Published: September 2014

Recent advances in semantic algorithms and pervasive communication are based entirely on the assumption that DHTs and hierarchical databases are not in conflict with write-back caches. Here, we argue the emulation of the partition table that would allow for further study into information retrieval systems. Our focus in this paper is not on whether the famous embedded algorithm for the study of e-business by Harris et al. is NP-complete, but rather on motivating an application for Byzantine fault tolerance (Mesophryon).
An Algorithm for Mining Weighted Negative Sequence Pattern
Authors: Yang Ming Shi , Jiang He , Yu Hong Jun , Li Xiu Fang , Ding Da
Published: September 2014

.For the purpose of showing the importance of certain items in the negative sequences and make negative sequences have more practicality, this paper presents a method for mining weighted negative sequence pattern. Set the weight value to calculate the weighted support and prune the weighted negative sequences which don’t meet conditions. We use IRIS data set which belongs to UCI data sets to verify the new algorithm. Comparing with Neg-GSP algorithm, showing the benefit of the weighted concept.
Visual Growth Model Research of Gramineous Adventitious Root System
Authors: Yin Ying Ying
Published: September 2014

For the aim of establishing visual growth model of gramineous adventitious root system, using computer to simulate the growth process of gramineous adventitious root system, we analyze the experiment data, refer to the growth law of adventitious root system, and then establish the growth model of gramineous adventitious root system based on three-dimension DLA, and test the model on computer, the result confirmed that the model is right and suitable.
Simulation Analysis of the Three-Dimensional Ball Motion
Authors: Zhou Xue Gang
Published: September 2014

For the problems of the human geometric modeling by using software, such as more complex, poor fidelity and controllability, the optimized mathematical model for human simulation movement is designed at first. A three-dimensional human motion system coordinate is established to construct the simplified virtual human geometric model. Using the knowledge of computer graphics, and Denavic-Hartenberg method, construct a space joint coordinate system of virtual hierarchal human movement chain. 3DS MAX is used in realistic geometric modeling to achieve the three-dimensional motion simulation analysis in basketball motion. The results show that the model is realistic, the optimized geometric model in software is easy to control, and the overall effect is good. It greatly enhances the realism and action effects of the three-dimensional motion simulation, and achieves a good virtual basketball motion.
Application of Three-Dimensional Virtual Model in the Field of Architectural Design
Authors: Tang Ying Min
Published: September 2014

Three-dimensional modeling is a key technology in many fields of research and application. In recent years, the application of three-dimensional architectural design visualization is widely used worldwide, which makes significant progress in terms of data models, visualization, 3D topological relations research. Due to the complexity of the own spatial structure of architectural design, by using virtual reality technology and combination of the surface characteristics of the entity modeling and structural modeling, the idea and implementation process of architectural design three-dimensional virtual model algorithm are described in detail. This article discusses the whole process of integrated CAD system's basic design, architecture and implementation techniques. This system has features of high integration, strong applicability, high reliability, able to complete the whole process of architectural design work, with a wide range of application prospects.
The Effective Classification Process Analysis of the Big Data in Construction Project
Authors: An Qian
Published: September 2014

In large construction projects, a single construction features data cannot be found to use as constraint. Traditional data classification methods use multi-feature constraints. Using multiple features for construction data uniqueness expressed has excessive features to express so that affect the efficiency of the classification. This paper proposes a construction project based on discrete transform big data classification. By enhancing the features of the construction project data, use the enhanced identification as the basis data classification, so that the scope of construction data classification can be obtained. Experimental results show that use the improved algorithm to perform big data classification on massive construction projects, it can effectively improve the accuracy of classification.
A New Test Bench Design Supporting Lifecycle Activities of Civil Aircraft Integrated Electrical Mechanical Control System
Authors: Zhang Lei , Xiong Tian Xiang , Fan Rui Jie
Published: September 2014

A simulation and test based approach intended to support whole lifecycle activities of IEMS development is proposed. A new test bench design philosophy including its hardware and software as well as its support for each IEMS development phase are described in detail. Finally, further considerations on bench application for IEMS certification are also proposed.
Implementation and Formalization of the Digital Contents’ Data Using OWL and DL into the Reasoning Modules
Authors: Khamis Khamis Abdul Latif , Zhong Luo , Song Hua Zhu
Published: September 2014

There are different methods and techniques for representing ontology domain, and each domain is bound with one suitable language that can support the ideology and methods based on the way we choose to represent them, which also depends upon the nature of the data we intends to use. So as we move on, the big question is that “how can we represent data based on events’ entities or multimedia data using object ontology, for what extends does the two common ontology languages OWL and RDF/RDF's support multimedia data? ” and how do we infer the media ontology. Those questions are reasonable and acceptable. In this paper, we introduce the basic principles to construct and express media data using ontology techniques, we also examine the capability of OWL in standardizing the rules and restriction based on the media ontology data and finally, we introduces a reasoning module as a solution for the OWL model to support multimedia data during the query and inferencing of media ontology
The Dynamic TERCOM Algorithm of Underwater Positioning Based on Terrain Entropy
Authors: Shuai Xiang , Wu Shao Chun , Luo Nai Bin
Published: September 2014

The seabed terrain navigation is an important part of underwater navigation system. With the aid of the seafloor topography, the underwater navigation system can greatly reduce the positioning error, and improve the navigation accuracy. However, the traditional TERCOM algorithm is not perfect, especially when the terrain entropy is relatively high. This paper will adopt the way of dynamic elevation sequence to avoid inaccurate positioning reasonably, at the same time it can improve the positioning performance of the algorithm.
Design and Research of Logistics Product Anti-Counterfeiting Algorithm Based on 3D Computer Vision
Authors: Zhu Li , Bai Lan
Published: September 2014

In order to solve the problem that how to prevent forgery and vicarious inventory in logistics products, we put forward to providing digital identity for each logistics products, using 3D computer vision technology in the process of logistics, and checking the logistics product anti-counterfeiting identity. According to the requirement of anti fake mark logistics products by security logistics information management system, we put forward the local matching algorithm based on adaptive weight, distinguish the logo image edge, eliminate the brightness difference caused by the result of the image matching and improve the disparity map 3D computer vision, so as to help the system accurate recognition of anti fake label image logistics products. Simulation results show that, the algorithm of logistics product security and vicarious inventory knowledge management system based on digital identity, can effectively identify the logistics of packaging products, without any misreading of the situation in a variety of external conditions can proves the validity and accuracy of the algorithm.
Immune Clonal Spectral Clustering for PolSAR Land Cover Classification
Authors: Liu Lu , Sun Dong , Wang Wen Qing , Niu Rui Can
Published: September 2014

In this paper, a novel PolSAR land cover classification method is proposed based on spectral clustering (SC) and immune clonal selection principle. SC is employed to reduce dimension in the polarimetric feature space. However, it is susceptible to local optimum and sensitive to the initial partition. To address this issue, immune clonal clustering (ICC) is used due to its capability of global searching. The proposed method combines the complementary advantage of spectral clustering and immune clonal clustering. Experimental results demonstrate that the proposed method is more stable and efficient compared with the other methods.
Research on Resource Scheduling in Cloud Computing: Issues and Solutions
Authors: Suo Hui , Yan He Hua
Published: September 2014

.Resource scheduling is the core technology to provide efficient and reliable services in cloud computing, and it is the basis of cloud computing to implement quick deploy and rapid response and save money. This article firstly introduces the research status of the resource scheduling in cloud computing including resource scheduling policies, replica technology and metadata management. Next we analyze the issues of Hadoop platform in resource scheduling including high latency, small files I/O, single point of failure and hot data. On the basis of these, the effective resource scheduling and management mechanisms are given including dynamic replica management, metadata management and horizontal scalability.
Implement of Hyper-Graph System Based on Three-Dimensional Matrix Model
Authors: Lan Hua Jian , Tang Yuan Xin , Song Xin Rui , Yu Guang Lu
Published: September 2014

At present the majority of association rule mining algorithm only uses support and confidence to evaluate association rules, association rules which may contain a large number of redundant, meaningless, Introducing the concepts of hyper-graph and system and exploring to construct the hyper-graph on the model of three-dimensional matrix. According to the characteristics of Big Data, the new hyper-edge definition method is adopted combining the concept of system, thus improving the processing capacity.
Mass Data Efficient Scheduling Model with Cloud Computing on Android Platform
Authors: Zhu Zhen Jia , Liu Yun Xia
Published: September 2014

The Android operating system is the most popular handheld devices operating system, the cloud computing is taken for processing large scale data efficiently, the commonly used scheduling technology of cloud computing needs to assign the user jobs to the reasonable resources for execution, the scheduling performance is not good. The mass data scheduling model is proposed based on application service quality limitation, and the cloud computing data scheduling principle is analyzed on the Android platform, the Android platform user requirements and the resources of node vectors are described, independent computing ability of users are ensured. On the basis of service quality parameters computing, cloud mass data scheduling tasks are matched to the tasks on the Android platform, the different service quality requirements of user can be accurately judged, the resources is provided to the user according to the requirement, the scheduling overhead is reduced after the service quality matching, the efficient scheduling of mass data is obtained. Simulation results show that the proposed scheduling model has better performance in time consumption and user satisfaction degree, the new model has lower CPU load ratio on the Android platform, it is a high efficient mass data scheduling model of cloud computing on the Android platform.
Mechanism of the Landslides Subject to Water Level Fluctuation
Authors: Song Liang , Zhang Huan Qiang , Zheng Fei , Ma Jiang Feng
Published: September 2014

This paper considers an ideal reservoir landslide with a single slide surface and explores the mechanism of the landslides subject to water level fluctuation by using three-dimensional discrete element software 3DEC. The results show that: the deformation and failure process of reservoir landslide can be generally divided into two phases, i.e., shear-cut failure of leading edge and tension-shear failure of the trailing edge. This study serves as a good starting point for investigating the deformation and failure mechanisms and the safety of practical landslides induced by different water levels.
Establish and Evaluate the Standardization of the Digital Publishing Logistics
Authors: Wang Xiao Hui , Du Yan Ping , Li Hong Feng , Wei Li
Published: September 2014

With the application of the network technology in publishing, the publishing logistics has entered a new phase of globalization, networking, digital. Because there is no uniform standard information in the format code, copyright protection, etc ,it leads to the difficulties in information exchange, information sharing, etc. in the field of digital publishing logistics. In this paper, based on the current results of the digitized standard, it proposes the basis factors of the digital publishing logistics standards . The data - the degree of important of the factors influencing the development of standardization-can be got by using fuzzy hierarchy comprehensive evaluation to evaluate the factors. Under the guidance of the data, the most important standard can be determined to build in the process of the digital publishing logistics which are the basis data theories.
Generation and Application of Obstacles in Military Vehicle Equipment Running Simulation
Authors: Zhang Wen Ming
Published: September 2014

First of all, the characteristics of obstacles in military vehicle equipment running simulation were described, and three generating methods, that is, extracting from digital vector map, manual drawing and dynamic generating during simulation, were expatiated. According to the demands, the data structure of obstacles was designed. Afterwards, the spatial overlay analysis of the moving route and the obstacles set, appending and deleting obstacles, and breaking a new path in obstacles were researched respectively.
Analysis of Inland Ship Traffic Flow Organizational Characteristics Based on Traffic Wave Theory
Authors: Zhang Pei Lin , Liu Yao , Liu Hong Gang
Published: September 2014

In order to study the organizational characteristics of ship traffic flow when congestion and evacuation happens, we have described the generation process of Build-wave and Evanescent-wave, established a computational model of extent and duration of the congestion based on traffic wave theory and conducted a case study. Quantitative research on the efficiency of navigable inland ships in safe condition has also been done in this paper.
Research and Analysis of Intrusion Prevention Based on Trusted in Cloud Environment
Authors: Wang Shuang Tu , Luo Jun
Published: September 2014

Cloud computing has a nature of dynamic, virtualization and opening since it made. All kinds of large-scale cloud security incidents makes frequent cloud environment safety has been questioned. In order to ensure the security of cloud environments, intrusion prevention technologies trusted computing ideas proposed by combining intrusion prevention framework model based on trusted computing environment under a cloud. The model departure from the principle of intrusion prevention, access to behavioral characteristics, and then gradually normalize these features determine the weight of each feature heavy user node's credibility after the draw. Then it use a variety of cloud cluster server engine to detect defense and integrated decision analysis and cluster analysis to make timely cloud fast, and change the traditional intrusion prevention for their own business, to detect the status of the defense lag for cloud users with the maximum safe limit intrusion prevention services, but also to ensure that the cloud can withstand attacks, so the cloud and cloud users bidirectional safety effects.
Content-Based Multimedia Files Search Technology
Authors: Ma Xiao Xing , Wu Di
Published: September 2014

At present, digital multimedia files containing text, images, audio and video are four main formats. In the search for multimedia files, because dissemination of images, audio and video files on the Internet, is lack of uniform standards, the same content will be used to describe different keywords. And it contains the richer content, the larger the amount of file data, as thus the traditional theme keyword search technology cannot meet the needs of the way of images and audio and video files. Text search technology is the most mature and widely used. Content-based search engine of search technology is an important topic in the development of digital media files on Internet search.
Numerical Analysis of Roof Pre-Splitting Roadway Effect in Incline Coal Seam
Authors: Jin Hua , Ning Tao , Yin Bo
Published: September 2014

Roof pre-splitting roadway is a new technology in roof induced rock burst prevention and control of incline coal seam. With the purpose of increasing rock burst prevention and control effective, FLAC3D numerical simulation software was used to analyze stress distribution characteristics and roof pre-splitting effect and the layout of the roof pre-splitting roadway parameters. The results showed that the roof pre-splitting roadway changed roof and floor stress distribution, the stress concentration degree is high in the zone of roof and floor around pre-splitting roadway and the two ribs of pre-splitting roadway, which made the roof strength weakened and easy to break, avoiding a large overhang in the process of mining and rock-burst; The roof pre-splitting roadway led to stress concentration in the range of 5 ~ 10 m, roof effective weakening range 12 m, so the distance of two roof pre-splitting roadway should be more than 20m. The research provided the reference basis for rock burst prevention by roof pre-splitting roadway in the incline coal seam group mining.
An Access Control Method Based on CP-ABE and ABS Algorithm in Cloud Storage
Authors: Wang Bao Yi , Ming Jing , Zhang Shao Min , Jiang Hao , Luo Hui
Published: September 2014

In view of the current popular cloud storage access control, some security problems were still existed. To solve the problem which the cloud service provider can’t verify the user write permissions by the CP-ABE based cloud storage access control, in this paper a cloud storage access control method is proposed which is based on the encryption algorithm of the cipher-text (CP-ABE) and the attribute-based signature (ABS). This method not only achieves the cloud storage environment information privacy and integrity, but also supports inheritance authorization and scalability.
Research on Full-Text Retrieval Based on Lucene in Enterprise Content Management System
Authors: Xu Li Xin , Fu Xiao Lin , Zhang Chun Hua
Published: September 2014

This paper studied Lucene search engine technology in enterprise content management system and make it effectively expanded. It implemented four function modules in the architecture of full-text retrieval based on Lucene: Text analysis module, index module, query module and store module. The intelligent enterprise content management system is reflected in a perfect combination of intellectual technology which includes data retrieval and the modern open source frameworks. It intensified contents processing analyzing functions.
An Improved Routing Node Selection Algorithm Based on Trust Evaluation
Authors: Shi Lan , Hou Qing Feng , Lv Jian Hui
Published: September 2014

With further consideration of factors that affect the value of the indirect trust, and depth analysis by statistical principles, we proposed a new trust value estimation model. On basis of this model, the method of cluster nodes election has been studied to design a rout decision-making algorithm which combined trust value, density, distance between nodes and forwarding capabilities. Experimental results show that the trust value assessment model built on trust value calculation is very reliable with increasing cycle times, trust value gradually moving to 1. The improved algorithm has faster convergence than algorithms in [5] and [6]. In information transfer process, when the routing nodes are within a certain range, and the algorithm is also more stable. When the network topology changes, the algorithm can be re-routed quickly, indicating that the algorithm has a wide range of applications.
Research on Feasible Direction Variation of Multi-Objective Genetic Algorithms and Simulation
Authors: Li Yue Li , Wang Chao
Published: September 2014

The method provided in this paper can be according to the current population to readjust the weight, thus obtain toward the positive ideal point search pressure, finally converge to the optimal solution. This paper combines the feasible direction into genetic algorithm. This method can lead the individual to optimal solution region along feasible direction which approach the optimal solution sets. Through evaluating the degree of distance between chromosome and constrain, we introduce membership function into traditional GA and embed the information of infeasible solutions into fitness function. Propose a self-adapting evaluation function. This method can readjust the weights according to current group and then get the stress of searching to the ideal positive point. To a kind of fuzzy multi-objective optimization problem, propose a method of best satisfaction to transform the fuzzy models to clear ones and solve the models using GA based on interactive method. Then testify its validity though examples.
Study of Non-Recursive Transformation Algorithms of Recursive Problems
Authors: Ye Chun Feng , Li Yong Zhuang , Zeng Wei Qin
Published: September 2014

Recursive is a method that divides the complex problems into simple problems and finally solves the complex problems. The process of recursive problem needs to use the information that stores in the stack memory. The cost of stack is large and the execution of the stack is less efficient. Therefore, when solving some complex problems, generally the recursive is used for analysis and the non-recursive is used for practice. Using non-recursive method to realize recursive problems, not only can save the storage space, but also can greatly improve the efficiency of algorithm execution.
Research and Application of Data Mining Technology Based on the Genetic Algorithm
Authors: Wang Chao , Lian Ying Jie
Published: September 2014

This paper introduces the basic theory of the data mining technology and genetic algorithm, analyzed the feasibility of genetic algorithm in data mining technology application, and set customer satisfaction as an example to demonstrate the feasibility and validity of the model.
Convergence Analysis of Preconditioned SSOR Iterative Method for Linear Systems
Authors: Zhou Ting
Published: September 2014

For solving the linear system, different preconditioned iterative methods have been proposed by many authors. In this paper, we present preconditioned SSOR iterative method for solving the linear systems. Meanwhile, we apply the preconditioner to H-matrix and obtain the convergence result. Finally, a numerical example is also given to illustrate our results.
The General Digital Forensics Technologies Based on Linux
Authors: Liu Wei , Duan Wen Liang , Tian Zhi Hong , Lan Dong
Published: September 2014

Digital forensics technologies based on Linux have been popular issue now. It is very necessary to get a general and effective digital forensics method on Linux for its wide usage. It gives a set of general methods in this paper. It combines the static forensics and dynamic forensics according to the different form of data and verifies the validity of these methods with the help from kinds of open source forensics tools.
Application of Improved K-Means Algorithm Density in the Grades of Cultivated Land Fertility Evaluation
Authors: Cao Li Ying , Yu He Long , Chen Gui Fen , Yang Ting Ting
Published: September 2014

precision agriculture, soil fertility evaluation is the foundation of variable rate fertilization, the initial clustering centers of K means algorithm soil fertility levels in the traditional evaluation methods generated randomly from the data set, the clustering result is not stable. This paper proposes an improved K-means algorithm density algorithm to optimize the initial clustering center selection algorithm based on K, the most far away to each other in high density region point as the initial cluster center. Experiments show that, the improved K-means algorithm can eliminate the dependence on the initial cluster center; the clustering result has been greatly improved.
Data Mining’s Network Traffic Data Analysis in Android Mobile Terminal
Authors: Tang De Huai
Published: September 2014

With the rapid development of communication industry in China from 2G to 4G networks, operators’ competition is intense in data flow business. Android mobile terminal is now widely used by people. Network traffic analysis is the premise to improve network speed and real needs of customers, excavate valuable information in vast amounts of data, and an important work for network providers analyzing flow rate and value. This paper mainly introduced the relevant contents of data mining, and data mining’s network traffic data analysis in Android mobile terminal.With the development of computer technology, network technology, and information technology, telecommunications enterprises accumulated a large amount of information resources and business data in the process of operation and management. How to find correlated, regular, and valuable information from these massive, disorderly, growing data is the problem facing enterprises, and data mining provides us with an effective solution.
Network Coding Optimization Method Research Based on Genetic Algorithm
Authors: Yan Hong Yan
Published: September 2014

Network coding optimization method research based on genetic algorithm applies network coding technology in monophyletic multicast network. After reaching network multicast rate, find link coding scheme which makes the minimum of the total number of network coding. Moreover, it makes the analysis and improvement for general genetic algorithm’s defects in network coding link optimization such as rare individual successful decoded by randomly generated initial population strategies, reduced algorithm search ability, premature convergence of genetic algorithm and long algorithm running time.
K-Means Clustering Algorithm Based on Prim Improvement
Authors: Zhang He Wei , Sun Lei , Zhang Hong
Published: September 2014

K - means algorithm is the classical algorithm to solve the problem of clustering in the area of data mining, when the sample data meets certain conditions, the results of clustering is better. But the algorithm is sensitive to the initial clustering center and clustering results will change as the differences of initial clustering center its number. Aimed at this shortage, this paper proposes a new algorithm based on prim algorithm to select the initial clustering center, details the basic idea of the algorithm and improves the specific methods and implementation steps, finally uses a test for the contrastive analysis. Results show that the improved K - means clustering algorithm needs not to specify the initial clustering center in advance, and it is not sensitive to abnormal value, and at the same time the use of greedy strategy makes the clustering effect more optimal than usual algorithms.
A Course Scheduling Algorithm Based on Network Flow
Authors: Lin Hai
Published: September 2014

Scheduling is generally believed to be a hard computational problem. People propose a lot of algorithms for solving this problem, most of which require exponential time. In this paper, we study a restricted form of scheduling problem, called the course scheduling problem. We show that this problem can be solved by reducing it to the network flow problem, which requires polynomial time to solve. Our proposed method is simple and efficient. It can scale up to real-world scheduling problems.
Self-Adaptive ACA Searching Algorithm
Authors: Wang Yong , Du Feng
Published: September 2014

With the development of science and technology and the popularity of intelligence, government departments, schools, enterprises and institutions are all conducting the intelligent upgrade for archives to replace the complex manual labor. However, there are still many problems to be solved during the process of the construction. This paper mainly introduces how to retrieve files from the data pool more quickly by applying theself-adaptive ACA retrieval algorithm[1,2]. At the same time, it will briefly introduce the principle of theSHA_1encrypted data as well as the process of how this system realizes the wireless searching and positioning.
Research and Application in the Web Data Mining Based on the XML
Authors: Liu Fen
Published: September 2014

With the rapid development of Internet, the Internet has become the important resources of information transmission and share. The characteristics of Web data are semi-structured, heterogeneous and mass, making traditional data mining technology indirectly applied to Web data sources. Web data mining refers to extracting a potential, useful model from the Web documents or Web activities. Because of the structural and expansibility of XML, research on XML combined with Web data mining has also became popular.
Short-Time Calculation Method of Passenger Flows on Urban Rail Transit Island Platform
Authors: Li Tian Shi
Published: September 2014

Because urban tail transit becomes the preferred way to travel for more travelers, the passenger flow of rail transit is increasing fast. Due to the increased passenger, the congestion on platform reduces the comfort and puts passengers in danger. This article analyses the model of island platform short-time arrivals based on the probability theory and historical statistics. The calculation method is studied and the Feasibility and algorithm is testified by setting numerical examples.
Adaptive Clone Selection Algorithm for Function Optimization
Authors: Yang Wen Xue , Chen Zhe , Li Cheng Jun
Published: September 2014

In this paper, we present a scheme to improve immune cloning selection algorithm. The improved algorithm, which is referred to as adaptive cloning selection algorithm (ACSA), is proposed and then applied to function optimization. At first, we present adaptive gene mutation which decides mutation probability of each code point (locus) based on the quality of antibodies and the number of evolution iterations. Secondly, we present an iteratively increasing method from one locus to the all ones, which can be used in function optimization. Then, the cloning selection process of evolution is divided into two-stages. The first step is to increase locus of antibodies. In the other one, the Baldwin effect learning operator is employed. And finally, an experiment is carried out to verify the theoretical analyses on several testing functions.
Study on Data Classification and Trend of Association Rules of Time Series
Authors: Liu Yong Zhi , Jia Xue Ping
Published: September 2014

Association rules has played a significant role in mining classification clear affairs, but the performance is poor for the continuous time series data . Firstly, this paper presents the trend of time series, including the rise, decline and steady trend, and the time series trend method is proposed; Secondly, define the trend of association rules, including the trend of association rules’ support degree, trend of association rule’s confidence; Finally, gives an application example, show the effectiveness of the method in classification and association analysis of time series.
Hemming Process Simulation of Table-Top Hemming Machine
Authors: Lin Ju Guang , Wang Er Wei , Zhou Guang Rui
Published: September 2014

Influence of different pre-hem paths on the flange geometry was studied first. According to the results of simulation the vertical pre-hem path was applied. Effects of the process parameters including pre-hem angle, flange length and friction coefficient on Roll-in/out were also investigated in this paper. Results of the simulations show that roll-in values decrease with pre-hem angle increasing and increase with flange length and friction coefficient increasing. And in the case of 6×45° leads least hemming force.
Based on the Principles of Mechanical and Electronic Multi-Function Love Gyro Design Research
Authors: Chen Yu Juan , Jiang Wen Ke , Jin Jun Sheng
Published: September 2014

based on the principle of mechanical and electrical design of multifunctional love gyro can be made by a support bar connection, have the function of barbell, two combined weight is moderate, can exercise and arm strength. Cixin gyro high-grade, durable, suitable weight, to a certain speed issued a similar to the sound of diabolo, due to the tuyere is stainless steel material, can the thrum gyro is more pleasant than other materials, suitable for adults whipped (especially middle-aged and old friends) can strengthen physical health treatment of periarthritis of shoulder, can lose weight again.
A Kind of Self-Constructed Category Dictionary in Chinese Text Classification
Authors: Zhou Kun , Dai Ya Ping , Gao Feng , Zou Ji Hong
Published: September 2014

By means of word-segmentation technology in TRIP database and each word that appears in a database will be account in detail, a kind of self-constructed category dictionary (SCC-dictionary) in Chinese text classification is proposed. For solving high dimension and sparseness problem exit in vector space model, a four-dimensional feature vector space model (FFVSM) is presented in this paper. With Support Vector Machine (SVM) algorithm, the text classifier is designed. Experimental results show there are two achievements in this paper: first, SCC-dictionary can replace the artificial-written dictionary with the same effect; second, the FFVSM will not only reduce the computing load than high-dimensional feature vector space model, but also keep the precision of classification as 86.87%, recall rate as 95.12%, and F1 value as 90.81%.
Study on the Determination of the Separated Layer Water Injection Based on the Grey Synthetic Degree
Authors: Lin Yao , Liu Chun Lin , Yin Hong Jun , Xu Xiao Yan , Wang Yang
Published: September 2014

The determination of the rational layered water injection intensity is the basis to stable oil production and high-yield in oil field. This article analyzes the various influential factors of the separated layer water injection intensity, using grey synthetic degree to determine the dominant influential factors. The weight value is obtained by normalization, each influence factor is quantization. Using grey correlation analysis method to determine the plane dividing coefficient and the vertical dividing coefficient, a reasonable stratified water injection intensity formula is got. This method considers the impact of these factors which consist of permeability, the measure transformation coefficient, perforation thickness, injector producer distance, location coefficient and the number of injector and producer. The problem which the contradiction exists in the same layer or between the layer and layer is obvious in the D block through combining with the current water injection development, reasonable dividing coefficient of block is established, a reasonable stratified water injection intensity formula is got, making well block reasonable injection and increasing adjustment effect of water flooding.
Estimate of the Interfacial Length Scale in Boiling Heat Transfer Simulation Based on Mixture Model
Authors: Xu Hui Jun , Chang Shan
Published: September 2014

The interfacial length scale which affect the simulation accuracy of boiling heat transfer was derived by theorety principle. The boiling heat transfer in vertical rectangular channel was simulated by CFX based on Euler-Euler model. The simulation was validated by the experiment data in literature. The result show that the error between simulation and experiment is within ± 15%. These results would provide some constructive instructions in interfacial length scale which is determined in CFX and the investigation of boiling heat transfer mechanism in vertical rectangular channel.