bluuebunny/crossref_metadata_2025 huggingface dataset:
Casting Process Solutions Optimization of LFC Forklift Box
Authors: Zhang Guang Sheng , Zhang Fei
Published: June 2014

There are many advantages in producing forklift box through the LFC. However, we found shrinkage porosity defects in the interior of castings through simulating the original process by ProCAST casting simulation software. Therefore, we analyzed the defects and improved the technology program. firstly, increased riser in position of shrinkage, Secondly, changed the filling’s way, lastly, selected the best temperature and vacuum by the orthogonal experiment and determined the best technology solution. we found the shrinkage porosity defects have been removed by the improved process. We found the production consistent with the simulation results through verification. Therefore we verify the accuracy of the ProCAST.
The Research of Robot Teleoperation Technology Based on Virtual Fixture
Authors: Xu Shi Kun , Gao Xin , Zhang Tao , Sun Han Xu , Jia Qing Xuan
Published: June 2014

In robot teleoperation, safety and operational performance are two important indicators. This paper presents a way to use virtual fixture to assist robot teleoperation and studies the realization method of virtual fixture assisting teleoperation in trajectory tracking, motion navigation and obstacle avoidance. The simulation experimental results indicate that virtual fixture method improves security and control performance of teleoperation system.
A Quantitative Evaluation Method Based on Hierarchical Architecture Model of Cloud Service Availability
Authors: Shao Zuo Zhi , Cao Ying , Cheng Bo Hao
Published: June 2014

Today, cloud service has evolved as a network centric, service oriented computing model. Consumers purchase computational resources and network accesses on demand without worrying about the underlying technologies used. However, the concerns of security, reliability and service response availability are also increasing. Although cloud service providers usually committed to the availability scope of Service Level Agreement (SLA), most cloud tenants do not understand the inherent complexity. There is an apparent lack of ability to assess the risks when choosing cloud platform. From the perspective of the cloud computing service layer model, this paper defines and analyses a quantitative evaluation method of the availability of cloud service. And it proposes the concepts of availability unit (AU), availability set (AS), standalone availability (SA) and deployment availability (DA). Also discusses the algorithm relationships among all levels of IaaS, PaaS and SaaS on cloud computing service.
A Study on Simulative System of Mobile Payment
Authors: Jiang Nan , Liu Xiang Dong , Li Zhi Jie , Li Bing , Ning Chun Fang
Published: June 2014

Present a mobile payment Simulative system, in the process of paying, the system requires three parts to join in which are business server, paying agent sever and mobile client for users. Analyze the system flow, includes registration and login, confirm the identity information, submit orders, payment, fund temporarily custody, shipping the goods, user received the goods, payment complete and sellers get the money. Design the module, the system mainly includes the registration and login module, order management module, shopping cart module etc. Implement the functions of the Web browsing, commodity management, account management, funds management, send the bill and payment management on the bill.
E-Commerce Risk Analysis with Fuzzy Analytic Hierarchy Process
Authors: Xu Tao
Published: June 2014

Fuzzy Analytic Hierarchy Process (FAHP) has been applied widely in risk measurement. In this paper, we have applied FAHP to the risk measurement of an e-commerce business. The results indicate that FAHP can reveal more details of risks. It is also helpful for the e-commerce businesses to improve their risk management process.
An Improved User Interest Model for Microblog Personalized Recommendation
Authors: Ye Wei Long , Wang Bei Zhan , Chen Kang , Guo Kai Jie
Published: June 2014

As a representative application of Web 2.0, microblog is now becoming one of the most popular social networks. There has been an increasing number of research about user interest in social networks. Based on these related works, an improved user interest model for microblog user recommendation is presented in this paper. By fetching user data, generating datasets, building user interest models and combining these models, a recommended user list is generated to help people find users they interested. Experimental results show the effectiveness of the combined model.
Analysis of User Influence Using User Behavior and Random Walk
Authors: Wang Meng , Zhou Gang , Chen Jun Yu
Published: June 2014

To improve the effect of user influence predicting in microblog, this paper proposed a new method of user influence analysis named UBRWR, based on user interactive behavior and the random walk method. UBRWR firstly used the behaviors between users to reconstruct the network topology, and then an improved PageRank algorithm was applied to predict the user influence, with quantized individual attribute features. The experimental in Weiba show that the UBRWR algorithm outperforms the PageRank algorithm and method using fans count in terms of ranking accuracy.
The Design and Realization of Management System Based on Java for College Graduation Practice
Authors: Wei Yan Xiao , Hou Zong Yi
Published: June 2014

Graduation practice is an indispensable part of college practice education, which is an important way to develop students’ practice and innovation capacity. In order to promote the quality of educating, as well as to achieve an effective management over graduation practice, this article will use Java language to design an institutionalized management system for college graduation practice. Advancing the efficiency and managerial level, the appliance of this system will bring forth good results.
A Novelty Model for Reliability Assessment of Complex System
Authors: Yin Zong Run , Su Dong , Li Jun Shan
Published: June 2014

Aiming at the difficulty in reliability assessment of complex system. A novelty model based on Bayesian method and GO methodology is proposed. Bayesian method is adopted for multi-source information fusion to build the component reliability model, and then GO methodology is utilized to integrate the component reliability parameters and form the reliability model of the system. At last, an instance of reliability assessment for complex electronic equipment is given to show the effectiveness of the model. Result shows that, this method take advantage of Bayesian method and GO methodology, it provide useful reference for relative applications.
The Research on the Development of Smart Library
Authors: Sun Min
Published: June 2014

Internet of things (IOT) technology will bring about a series of profound changes for libraries. Starting with the conception of IOT, the article introduces the origin and characteristics of IOT, summarizes the present development, designs the system of smart library, elaborates on the impact of library development, analyzes the key problems of application.
Financial Market Risk Overflow Modeling and Inspection Based on Support Vector Machine
Authors: Zhu Hong Han
Published: June 2014

Combined granger test statistics based on VaR and CCF and machine learning theory to establish financial market risk overflow model of support vector machine. To analyze risk information overflow by the statistic characteristics of risk information overflow structure. The model can more effective to test variety forms of risk overflow, Main performance is the extreme risk for information received peripheral selectivity and market volatility non-stability. Emerging markets characteristics in A Shares is evident, the performance are the selective reception of outside extreme risk information. Empirical results demonstrate that models have certain value to the management and control of overflow risks in financial markets.
A Multi-Attribute Decision-Making Method Based on SPAOWA Operator
Authors: Wang Wan Jun , Yan Yan
Published: June 2014

The vagueness of human thinking and complexity of perception of the objective reality led to the uncertainty of decision-making. Facing with the growing mass of information, the problem of uncertain information, vague information and uncertain fuzzy decision making become increasingly important. The paper studied the multi-attribute decision-making problem raised from decision information in the form of set pair number, put forward a Set Pair Analysis Ordered Weighted Averaging (SPAOWA) operator and set up a multi-attribute decision-making method for information aggregation and ordering by score function with set pair number. Feasibility of the proposed method has been analyzed by the given examples.
A Class of Volterra-Fredholm Difference Inequality with Weakly Singularity in Engineering
Authors: Wang Wu Sheng , Hou Zong Yi
Published: June 2014

In this paper, we discuss a class of new Volterra-Fredholm weakly singular difference inequality. The explicit bounds for the unknown functions are given clearly by discrete Jensen inequality, Cauchy-Schwarz inequality, Gamma function, change of variable, the mean-value theorem for integrals and amplification method. The derived results can be applied in the study of fractional difference equations in engineering.
Application Research of the Polynomial Fitting Model in Transformation of Plane Rectangular Coordinate
Authors: Wang Qiang , Li Cong , Cui Jia Jie , Jiang Lai Wei , Wang Meng , Lu De Kai
Published: June 2014

Since the earth is a spheroid, the coordinate systems of different countries are not the same. And because China is a vast country, many places in China also established an independent coordinate system. In the application of engineering, the transformation between different rectangular coordinate is very necessary. This paper studies the function model that polynomial fitting model of rectangular coordinate transformation, and explored the rule of impact on the accuracy that between different fitting models and the numbers of common points selected in the same model using real data. Finally, it compares the accuracy of different fitting models and finds out the optimal model, which fits the survey area.
Identification and Optimization of Soil Water Movement Model Based on GA under Drip-Irrigation
Authors: Liu Yuan Yuan , Sun Hai Yan , Zhang Zhi Guo
Published: June 2014

Under drip irrigation, the drip discharge has a great influence on soil water movement and crop growth. Studying the soil water movement rules makes great realistic significance to the precise management. Based on soil dynamics theory, we measured the water movement distance of saline soil in Changji Xinjiang through outdoor tests. Then, we built transfer function models between drip discharge and water movement distance under drip irrigation and applied the genetic algorithm to identifying and optimizing model’s parameters. Comparing the soil water movement model’s dynamic change at the same drip discharge, the model’s validity is validated. It can solve the feedback adjusting according to crop root, and the waste of water resource is reduced.
A Community Detection Method Based on Multi-Objective Optimization Method
Authors: Wang Lu , Liang Yong Quan , Tian Qi Jia , Yang Jie , Song Chao , Wu Zhuang
Published: June 2014

Community detection in complex network has been an active research area in data mining and machine learning. This paper proposed a community detection method based on multi-objective evolutionary algorithm, named CDMOEA, which tries to find the Pareto front by maximize two objectives, community score and community fitness. Fast and Elitist Multi-objective Genetic Algorithm is used to attained a set of optimal solutions, and then use Modularity function to choose the best one from them. The locus based adjacency representation is used to realize genetic representation, which ensures the effective connections of the nodes in the network during the process of population Initialization and other genetic operator. Uniform crossover is introduced to ensure population’s diversity. We compared it with some popular community detection algorithms in computer generated network and real world networks. Experiment results show that it is more efficient in community detection.
Fault Diagnosis of Transformer Based on RBF Neural Network
Authors: Yu Jian Li , Zhang Zhe
Published: June 2014

According to the characteristics of fault types of the transformer ,RBF neural network is used to diagnose transformer fault. The paper regards six gases as inputs of the neural network and establishes RBF neural network model which can diagnose six transformer faults: low temperature overheat, medium temperature overheat, high temperature overheat, low energy discharge, high energy discharge and partial discharge . The Matlab simulation studies show that transformer fault diagnosis model based on RBF neural network diagnosis for failure beyond the traditional three-ratio method. The rate of the transformer fault diagnosis accuracy reaches 91.67% which is also much higher than the traditional three ratio method.
Features Extraction for Lhasa Tibetan Speech Recognition
Authors: Li Guan Yu , Yu Hong Zhi , Li Yong Hong , Ma Ning
Published: June 2014

Speech feature extraction is discussed. Mel frequency cepstral coefficients (MFCC) and perceptual linear prediction coefficient (PLP) method is analyzed. These two types of features are extracted in Lhasa large vocabulary continuous speech recognition system. Then the recognition results are compared.
Hourly Solar Radiation Forecast Based on k-NN Nonparametric Regression Model
Authors: Yang Meng Qin , Wang Xiao Ying
Published: June 2014

It is hard to accurately predict solar radiation due to its very prominent nonlinear feature, so four major models based on the k-NN model, which have time, sunshine hours, temperature, wind speed and humidity as input data, are presented in the paper for hourly solar radiation forecasting. The models forecasting instantaneous solar radiation values in the Xining region have been created through experiments carried out in Qinghai University. The accuracy of the optimum model is up to 88.7% on average and 97.01% at most on the premise and the allowed absolute percentage error is lower than 20%.
Researches on Data Privacy in Cloud Computing Based on Game Theory
Authors: Yu Yong Hong , Wu Li
Published: June 2014

Existing proposals for data privacy in cloud computing have typically been founded on encryption and are not well-balanced on dealing with the contradiction between data privacy and efficient queries. This paper discusses the data privacy in cloud computing based on the perspective of game theory. It built a complete information static game theory frame between a trusted data center and many un-trusted database service providers to avoid the coalition among un-trusted database service providers, and gave Nash equilibrium of mixed strategy. Some influence factors of Nash equilibrium are also analyzed.
Reliability Analysis Based on Markov Process for Repairable Systems
Authors: Li Xiao Quan , Li Run Ling , Xie Yi Jing
Published: June 2014

The problems of reliability and maintainability for repairable systems are investigated in this paper, and Markov process is employed to build the mathematical models of availability and reliability for the repairable systems. Firstly, the formulas of availability and reliability for single repairable systems are deduced. Then, the repairable system with two parallel components and one standby are investigated, which is common in engineering application. Finally, simple approaches are summarized for availability of complicated repairable systems. Since the two approaches has the same result, which provides theoretical proof for the study of repairable systems’reliability and availability.
The Micro-Blog Information Personalized Recommendation Algorithm Based on Trust Relationship
Authors: Dong Li Li , Qiao Wei , Zhang Xiang
Published: June 2014

The huge number of users and the rapid growth of mass information flow bring the problem of ‘information overload’. But the current researches mostly concentrate on solving the user recommended problem in the micro-blog user relationship’s network; there isn’t an effective solution for the micro-blog information’s recommendation yet. In order to solve above issues, this paper proposed a micro-blog information personalized recommendation algorithm based on trust relationship, parallelized handling the user relationship’s data and calculating the trust degree butween users, calculating the micro-blog and user‘s topics related degree. In conclusion, this paper conducted TopN reconmendation to the micro-blog information flow. Through the experiment, this algorithmcan solve the ‘information overload’ problem effectly, at the same time improving user’s information acquisition.
The Optimization Algorithm Based on Vector Space Model to Determine the Influence of Microblogging Text
Authors: Dong Yu Chen , Liu Yan , Luo Jun Yong , Zhang Jin
Published: June 2014

This article uses the vector space model to express microblogging text in quantity, via the cosine of the angle of text clustering method to calculate the similarity between the text. We can generate alternative microblogging hot cluster by centralized method, by adding the "microblogging impact Factor " into vector text mold of alternative hotspot clusters. In order to simulate the exclusive advantage of "star" in the information dissemination process of the real world, we use the alternative hotspot clusters which already weighted the "microblogging impact factor" to re-evaluate its characteristics of vector, to optimize the hot microblogging discovery algorithm and to make the sorting results more in line with the law of information dissemination, finally to give some suggestions and opinions on hot microblogging evaluation method.
Moving Target Detection and Tracking Control Simulation Platform
Authors: Zhou Hong Cheng , Jiang Zhi Peng
Published: June 2014

Moving target detection and tracking simulation platform of two-dimensional translational and three axis turntable are used to target the screen drag and three-dimensional angle attitude simulation of the control problem in essence belongs to the electric servo control. In terms of the design of the servo control, motion control platform including hardware design, the control law design of the control system and software design. Detailed describes the motion platform of mathematical modeling, control circuit and the control law design, through simulation and experiment verify the validity of the motion platform control system.
Water Traffic Safety Evaluation Based on the Grey Correlation Grade Analysis
Authors: Teng Ying Xiang , Zhao Hu Gang , Yang Jie , Sheng Jin Lu
Published: June 2014

Aiming at the deficiency of the water traffic safety evaluation method in our country, the water traffic safety evaluation model was established after full discussing, which is based on grey relational grade analysis. The water traffic safety status of shipping companies was evaluated through their correlation, which is on the basis of the Five index method, after the original data in a reasonable manner of dimensionless processing. Through a case of a shipping group, it is proved that the grey correlation greed analysis method can evaluate enterprise's security situation simply and effectively on the basis of original index of death toll, the number of accidents above General level, the number of ship destroyed and direct economic loss. Additionally, the evaluation is more objective and scientific.
Large Naval Ship Evaluation Method Attended by Multiple Experts
Authors: Hou Yuan Hang , Zhang Jia Ning , Zhen Chun Bo
Published: June 2014

An integrating, coordinating and optimization for experts’ evaluate opinion method according to naval ship evaluation case study is researched. Ship projects evaluation index system is proposed pointing at large surface naval ship, meanwhile the weights of index of experts’ opinion and ship projects are identified. After combining the actual demand of evaluation with the algorithm, a sequence deviation estimating method is formed for estimating the difference between individual and group opinions. Thus a naval ship evaluation platform is proposed which could integrate, coordinate and optimize expert's opinion effectively. Calculation shows this new method system, which mixed the numerical computing and computer iteration technology together, could meet the actual demand of naval ship evaluation commendably. Not only can it retain each expert's original preference, but also consistent the consulting result rapidly. Thus the new method has great applicability in naval ship evaluating progress, with the ability of solving conflict among the expert group.
Adaptive Congestion Control via Dynamic Output Feedback
Authors: Han Cun Wu , Sun De Hui , Liu Lei , Bi Song
Published: June 2014

This paper presents an adaptive congestion control algorithm for Internet with time-varying uncertainties. The controller is designed via dynamic output feedback. Simulation result shows that the proposed algorithm has good performance.
Intelligent Vehicle Local Planning Based on Optimized Path Generation and Selection
Authors: Wang Jin Hang , Jiang Yan , Guo Hong Fen , Gong Jian Wei , Liu Xian Qiang , Xu Da Lu
Published: June 2014

Local planning is of great importance to intelligent vehicle driving at high speed where the traffic environment is complex. The local planning must satisfy the performance of good real-time and guarantee feasibility and safety. In this paper, a novel local planning method based on the optimization of curve generation and selection is proposed. By optimizing the curve parameter model, we can get the feasible path which is satisfied with vehicle dynamics constraints. Then taking into account the obstacle constraint, we apply this method to generate a cluster of candidate paths used for tracking global path. Next, we use optimization indicators presented in this paper to choose the suitable desired local path. Experimental results show that: using our method, the change in the curvature of the generated desired local path is slight and it meet the requirement of safety and control smoothness. Besides, this method can satisfy the meeting of tracking global path. What’s more, in real traffic environment, this method reflects a good performance in real-time and safety.
A Smart Recognition Method for Otological Drill Milling through a Bone Tissue Wall
Authors: Li Xi Sheng , Xie Yong Ming , Gao Zhi Qiang , Feng Guo Dong
Published: June 2014

Surgeons are striving to achieve higher quality results in minimally invasive operation. Intelligent medical equipments are able to improve operation safety. Otological drill milling through a bone tissue wall is a common milling fault in ear surgery. In this paper a multi-sensor information fusion method for identifying milling faults is presented. Five surgeons experimented on calvarian bones using the intelligent otological drill. The average recognition rate of milling faults was 91%, and only 0.8% of normal millings were identified as milling faults.
A Regulative Arithmetic on the Contingency Communication in the Damaged Military Communication Network
Authors: Liu Jing Xue
Published: June 2014

Military communication network plays a very important role in modern warfare, so it is inevitably damaged by the adversary. In this paper, basing on the condition of the military communication network having been damaged, the demand of regulating the capabilities of some lines in the damaged network was first discussed. Then, according to this demand, the thought of regulating the capabilities of some key lines in the damaged network was explained. Finally, the main steps of a regulative arithmetic was presented. A calculated example indicates that the regulative arithmetic is with simplicity and practicality.
A Short-Delay Multipath Mitigation Algorithm Based on Variable Step-Size LMS Adaptive Filtering
Authors: Hui Yong Tao , Li Bing Bing , Tong Zhao , Zhong Xing Wang , Liu Hao
Published: June 2014

The multipath in the inter-spacecraft microwave ranging system is the short-delay multipath generally. The performance of existing multipath mitigation algorithms degrade in the short-delay scenario, and therefore an adaptive filtering algorithm based on variable step-size LMS is exploited for estimating the parameters of multipath signals. Firstly, the equation of variable step-size LMS is deduced. Then, the signals parameters are estimated recursively though the adaptive filtering algorithm. Multipath elimination is performed by substracting the estimated multipath effects from the measured correlation function. Simulation results validate that the proposed method is superior to the existing algorithms in the aspect of convergence rate and ranging accuracy for the short delay multipath. Therefore, it is a viable solution for achieving high accuracies measurements in microwave ranging system with short-delay multipath.
Petri Net-Based Modeling and Verification of Automatic Train Speed Control System
Authors: Hua Rong , Fu You , Yu Jian Zhi , Liu Cong
Published: June 2014

How to provide dependability based on safety is a challenge faced by train control system. Formal approaches are important for modeling and verification of automatic speed control Systems. In the paper, a formal model of automatic speed control Systems based on Petri nets (ASCS-nets) is presented. And the transformation approaches from automatic train speed control system to ASCS-nets are given. Correctness verification of automatic train speed control system is implemented based on ASCS-nets model.
A Modeling Approach Based on Weighted LDA for Quality of Experience Measurement in Mobile Network Scenarios
Authors: Kuang Wei , Han Ling
Published: June 2014

In this paper, we proposed a method for mining mobile users’ Quality of Experience (OoE) model based on weighted LDA. In the recent years, QoE has become an important concept for the quality of networks and services. At present , QoE has attracted the interest of network operators and service providers, because of providing a good QoE service to their customers can satisfy the customers and bring more users. In this paper, we are trying to build up users’ QoE model through topic model, an approach to generate a generative model for data mining. Latent Dirichlet Allocation (LDA) is a feasible and effective algorithm in text modeling. We propose an weighted LDA-based interest model within the modeling framework, and evaluate it on a mobile network users’ behavior extraction system. In this system, we can analyze the users’ behaviors, and build up a vector model for each user through a simple way. Besides, with the help of the topic model, we can get an exact model for users’ QoE, because we can generate the topic model through the vector model. Thus we can get the users’ QoE model, through which we can learn each user’s experience. Then the network operators can provide a better network service for their customers. In the end, we elaborate QoE management requirements for mobile network scenarios, and provide a QoE modeling approach for the mobile network scenarios.
The Modeling Method and Analysis of Online Top-Up System Based on Open Petri Net
Authors: Li Xiao Mao , Fang Xian Wen
Published: June 2014

Petri nets have structure and behavior properties, it is convenient to analyze some complex system based on its mathematical analysis methods. Online top-up system is an open network system. The modeling method of this system based on general Petri net has some limitations. A new modeling method based on open Petri net to study online top-up system is proposed, and analyze the open Petri net model by T-invariant. This method laid a foundation for the study of open online top-up system.
The Research of Auto After-Sales Service Personalized Recommendation Based on LBS
Authors: Chen Dong Lin , Chen Ling , Gui Yan Jun
Published: June 2014

Existing auto after-sales service recommendation only based on user' history behavior, and doesn't take user's real-time location into account, and the recommended result doesn’t meet user’s needs well. Aiming at the problem of traditional recommendation, put forward the personalized recommendation method based on LBS. This method takes the user as the core, by analyzing user's real-time behavior, historical behavior and the user's real-time geographic location, speculated the user's current needs, and recommend accurate information for them.
Study on Design of Non-Uniform Energy Distribution Wireless Network
Authors: Bao Di , Xu Yang , Zheng Hao Ming
Published: June 2014

Through the process of establishing energy cluster type of network routing layer analysis, design and implementation of energy optimization methods at all stages of the path to create, In this paper, laid separately from the mobile sensor nodes in sensor nodes, and even moving the position of the cluster point sink to optimize the energy consumption of the network in order to obtain maximum network cycle, these strategies have received a certain effect, but if from the sensor energy consumption of the network to optimize the balance, then the network will be extended for longer period.
Manipulation of Quantum Communication Channel via Two-Level Atom Interacting with Caving Fields
Authors: Cai Xin Hua , Nie Jian Jun
Published: June 2014

Base on the dispersive atom-cavity field interaction, the scheme for preparing the entangled coherent state is discussed. An experimentally feasible protocol for realizing entanglement concentration of the entangled coherent states by using a two-level atom interacting with caving fields is proposed. In this protocol, the entanglement between two coherent states, and , with the same amplitude but a phase difference is utilized as the quantum communication channel. The process of the entanglement concentration is implemented by using a two-level atom interacting with caving fields and two-modes orthogonal states measurement. With the present development of cavity quantum electrodynamics (QED) techniques, the scheme can be achieved.
Design of Coal Equipment Life Cycle Reliability Management System
Authors: Ma Xian Min , Xu Bao
Published: June 2014

A new coal mine equipment management system based on network is proposed in the paper. The principle of the mine production equipment service life cycle is introduced, the maintenance management information system framework and function modules are designed which combines with the characteristics of the mine production equipment to equipment status. The design of the device information management, spare parts management, state management, maintenance management and ledger management model selection are described in detail, and then the mine production management system based on the equipment life cycle prediction is build. The research result shows the coal mining equipment management system based on network can achieve long-term optimizing maintenance resources, and reduce maintenance costs and improve the efficiency of coal production and enterprise management level.
Evaluation Model for the E-Learning 2.0 System
Authors: Wu Bing , Zhang Chen Yan
Published: June 2014

E-Learning 2.0 has played a significant role in training and development within the organizational environment. But how to evaluate the E-Learning 2.0 system remains unresolved. This study aims to propose an evaluation model for the enterprise E-Learning 2.0 system based on the information system success model. Firstly, the first level of the evaluation model is established by four aspects, including information quality, system quality, service quality and communication quality. Then, the second level of the evaluation model is constructed for these four aspects respectively. The case study will be in the future research to reveal the performance of E-Learning 2.0 system in the enterprise, which will be the guidance for the implementation of E-Learning 2.0 systems.
Research on the Programming of Transplanting the Entire DSP Program from On-Chip FLASH to RAM
Authors: Shan Dong Sheng , Wang Yang , Qiu Xiao Bo , Fan Chun Lin , Li Chao , Zhang Pei Qiang , Chu Dong Lai
Published: June 2014

When TMS320F28XXX DSP programs run from the on-chip flash, it’s about 30% slower than that from the on-chip RAM, which caused the poor performance when programs run directly from on-chip flash, so program code need to be transplanted to RAM in order to improve the running speed. This paper analyzes the running processes of TMS320F28335 DSP application and the code removal processes from on-chip FLASH to RAM, and then introduces the transplantation programming method. This method is verified feasible through the experiment designed in the project of gun control system based on DSP TMS320F28335, and it can be extended to practical engineering and industrial applications.
The Design and Application of Scientific Research Project Management System
Authors: Gong Xiao Mei , Zhu Wen Tao
Published: June 2014

According to the scientific research project management practice, the paper analyzes the main problems existing in current scientific research project management, research management system for positioning, the overall architecture, software architecture and other system functions and contents of the detailed design and implementation, provide reference and support for the further improvement and refinement of research management at all levels to promote further scientific research management, standardization.
Directed Fuzzing Based on Dynamic Taint Analysis for Binary Software
Authors: Wu Bo , Zhang Bin , Wen Sha Meng , Li Meng Jun , Zhang Quan , Tang Chao Jing
Published: June 2014

Traditional Fuzzing is simple and easy to deploy but inefficient due to different inputs usually execute the redundant path. In this paper, we put forward a binary-oriented Fuzzing technique based on input format analysis and dynamic taint analysis, which can detect vulnerability more efficient than traditional Fuzzing method. We implemented a prototype system called Smart and Directed Fuzz (SDFuzz), which first searches the locations where interested functions are called, then uses dynamic taint analysis technique to classify input data into safety-related data and safety-unrelated data, finally mutates safety-related data to direct the test procedure. The evaluation shows that our method can be used to detect vulnerabilities in binary software efficiently.
Research on Tibetan Localization Based on Android
Authors: Yu Hong Zhi , La Bing Jun , Dou Rong , Dan Song
Published: June 2014

Android platform is not implemented Tibetan localization currently. Tibetan glyphs superimposed incorrect. This paper researched Android system source code and Tibetan text features, elaborated Tibetan localized operating on Android system. The main contents include downloaded and compiled Android4.1 source, added the Tibetan language settings options, modified the ICU4C module, added Tibetan font, translated into Tibetan language, solved the problem of Tibetan superposition display, added Tibetan input method, etc. The implementation of the Android platform Tibetan localization is the foundation for Tibetan Localization on Android devices.
The Selection and Study of HA Cluster Software Design
Authors: Mu Dao Sheng , Wang Hao Ming
Published: June 2014

With the rapid spread of network communication technology, the demand of reliability of the network service system is higher and higher for various industries. Any service failure will bring huge loss to the enterprise or individuals. So HA cluster system is increasingly favored by people as an important means of disaster. In this context, this paper analyzed the characteristics and role of HA cluster and the existing HA cluster software. Finally, in terms of optimization of the cluster mode scheme, disk filter way and the monitoring mode program, the corresponding software design scheme selection was put forward.
Efficiently Subtree Matching between XML and Probabilistic XML Documents
Authors: Ma Hai Tao , Yu Chang Yong , Xu Chang Ming , Fang Miao
Published: June 2014

We explored the subtree matching problem of probabilistic XML documents: finding the matches of an XML query tree over a probabilistic XML document, using the canonical tree edit distance as a similarity measure between subtrees. Probabilistic XML is a probability distribution model capturing uncertainty of both value and structure. Query over probabilistic XML documents is difficult: an naivie algorithm has exponential complexity by directly compute the tree edit distance between the query tree and each certain XML tree represented by the probabilistic XML document. Based on the method of tree edit distance computation over certain XML subtrees, we defined a minimum-solution to the edit distance computation, which means the minimum cost to translate the query tree to the probabilistic XML tree. Furthermore, we developed an algorithm---ASM (Algorithm of Subtree Matching) to compute the minimum solution. Finally, we proved the complexity of ASM is linear in the size of the probabilistic XML document.
Oracle Database Security and Protection
Authors: Ma Cai Xia , Zhang Wei , Zhang Zhi Gang , Wang Yan Min
Published: June 2014

Database security is the protection of the database date, which can prevent the leakage, alteration, destruction of the information caused by the unauthorized user use the database .Those protective measures usually include: authentication, access control, access control, database backup and recovery, and security auditing.
Protecting Encrypted Data against Inference Attacks in Outsourced Databases
Authors: Zhang Xiao Lei , Tang Yi
Published: June 2014

Ensuring data privacy and improving query performance are two closely linked challenges for outsourced databases. Using mixed encryption methods to data attributes can reach an explicit trade-off between these two challenges. However, encryption cannot always conceal relations between attributes values. When the data tuples are accessed selectively, inferences based on comparing encrypted values could be launched and sensitive values may be disclosed. In this paper, we explore the attribute based inferences in mixed encrypted databases. We develop a method to construct private indexes on encrypted values to defend against inference while supporting efficient selective access to encrypted data. We have conducted some experiments to validate our proposed method.
System Security Monitoring Based on Complex Event Processing and Neural Network
Authors: Guo Yi Fei , Si Shi , Jin Da Wei
Published: June 2014

Recently system security monitoring has meet several challenges. Therefore a system security monitoring approach based on complex event processing and dynamic structure-based neural networks is proposed in this paper. Firstly, complex event processing is used to handle real-time event streams and extract complex events from system security sensors. Secondly, the complex events from CEP would be used for further study by dynamic structure-based neural network. Finally the process of system security monitoring is showed and experiments would be applied to validate the feasibility, efficiency and precision of the approach.
Incomplete Data Recovery Using Linear Regression
Authors: Lin Hai
Published: June 2014

During the last few decades, there has been a lot of interest on systems using large amounts of data. In practice, not every piece of information is available, and people have to deal with incomplete data. There have been a lot models proposed for this problem. In this paper, we propose a new approach for incomplete data recovery. This new approach is based on linear regression. We do some experiments on real-world data and show that this new approach is appropriate for incomplete data recovery and can produce very good results.
Outlier Analysis in Large Sample and High Dimensional Data Based on Feature Weighting
Authors: Yang Zi Rong , Zeng Zhen
Published: June 2014

The usual method of outlier analysis is mainly analyzing the outliers according to the Anomaly Index and Variable Contribution Measurement. But in the analysis of large samples of high-dimensional data, this method is difficult. Owing to this, this paper presents a method that weight value for outliers is introduced. The features of outliers are weighted by Analytic Hierarchy Process method. Through this method, the importance of each property of outlier for data mining’s target is rationed, namely the weight number of each property is calculated. And then the correlation values, which represent the degree of relevance between outliers and data mining target, are calculated by using the weight number multiplying by the property value. After correlation values computed, we array the correlation values of outlier from high to low then outlier analysis can become more efficient. At the end of this paper, an instance is presented to demonstrate the maneuverability and feasibility of the method.
A Method of Reconstructing Data Sample with Monte Carlo Method and GM (1,1) Model Theory
Authors: Gao Zhi Hua , Cao Xiao Lin , Chen Qiang , Yang Yang , Tang Cong Yan , Liang Shi Li , Wang Shuang Wei
Published: June 2014

In this paper, A method of producing data sample with an inadequate one by combining Monte Carlo method and GM (1,1) Model theory is introduced. This method can produce a larger data sample, which feet the demand of data amount in Neural Networks. This method was examined with reconstructing an inadequate amount data sample of highway vehicle sound. Neural Networks have been found having a good performance in identifying vehicle type with the data reconstructed. Also, the steps to reconstructing an inadequate data sample with Monte Carlo method and GM (1,1) model theory are presented.
A Mathematical Morphological Processing of Spectrograms for the Tone of Chinese Vowels Recognition
Authors: Xu Sen , Zhao Xu , Duan Cheng Hua , Cao Xiao Lin , Li Hui Yan , Liang Shi Li , Wang Shuan Wei
Published: June 2014

As One of Features from other Languages, the Chinese Tone Changes of Chinese are Mainly Decided by its Vowels, so the Vowel Variation of Chinese Tone Becomes Important in Speech Recognition Research. the Normal Tone Recognition Ways are Always Based on Fundamental Frequency of Signal, which can Not Keep Integrity of Tone Signal. we Bring Forward to a Mathematical Morphological Processing of Spectrograms for the Tone of Chinese Vowels. Firstly, we will have Pretreatment to Recording Good Tone Signal by Using Cooledit Pro Software, and Converted into Spectrograms; Secondly, we will do Smooth and the Normalized Pretreatment to Spectrograms by Mathematical Morphological Processing; Finally, we get Whole Direction Angle Statistics of Tone Signal by Skeletonization way. the Neural Networks Stimulation Shows that the Speech Emotion Recognition Rate can Reach 92.50%.
A Novel Disparity Estimation Method Based on Multi-Block and Adaptive Window
Authors: Gao Qiang , Lu Yun Peng , Yang Hong Ye
Published: June 2014

Disparity estimation is a basic analytic method for images and video and is highly used in fields like stereo image coding, video retrieval and stereo image segmentation. This paper proposes a new disparity estimation method. In this paper, the superiority of the multi-block matching is analyzed. The new method based on the idea of block matching constructs a multi-block matching algorithm, thereby improving matching accuracy especially in the disparity discontinuous regions. A adaptive window method based on edge detect is proposed to select the best window.The experimental results based on the Middlebury stereo datasets demonstrate that our method can achieve a better performance.
A View-Dependent and Physical Feature-Preservation Streamline Simplification Method for 3D Vector Field Visualization
Authors: Kong Long Xing , Tang Xiao An , Li Huan , Jiang Li Bing
Published: June 2014

The streamline is of great importance for the visualization of 3D vector field. In order to solve those problems of streamline occlusion and visual confusion caused by of excessive streamlines. Meanwhile the streamlines have to present the variation law and important features of vector field exactly. In this paper, a view-dependent and physical feature-preservation streamline simplification method for 3D vector field visualization is proposed. Firstly, streamline set of 3D vector field is generated by particle tracking. Secondly, view-dependent mapping of the streamline set is implemented. Finally, the streamline set is simplified effectively following an iterative feature-preservation computation and view-dependent computation. The experiment results show that the streamlines are visually enhanced meanwhile the physical features of vector field are effectively maintained.
An Improved Moving Particle Semi-Implicit Method for Free Surface Flows
Authors: Wu Qiao Rui , Yao Xiong Liang
Published: June 2014

The objective of this study is to make some improvements to the original Moving Particle Semi-implicit method (MPS) for free surface flows. Compared to traditional mesh methods, MPS is feasible to simulate surface flows with large deformation, however, during the simulation; the pressure oscillation is quite violent, duo to misjudgment of surface particles as well as particles gathering together. To modify this problem, a new arc method is applied to judge free surface particles, and a collision model is introduced to avoid particles from gathering together. Hydrostatic pressure and classical dam break are investigated by original and improved MPS. The results verify that improved MPS method is more effective for free surface flows.
Automatic Eyeglasses Removal of Frontal Facial Images for Face Recognition
Authors: Ying Han , Su Guang Da , Chen Jian Sheng
Published: June 2014

As the most common type of facial occlusion, eyeglasses may cause great accuracy degradation in face recognition. In this paper, we proposed an improved approach on automatically detecting and removing eyeglasses from grayscale facial images. First, we normalized a face image by the result of face detection and eyes localization. Then we used a fast judging method to detect eyeglasses’ presence. For images with eyeglasses, we used PCA reconstruction error and edge feature to determine the occluded area, and synthesized the area through image inpainting. Experimental results show that our approach can detect the presence of eyeglasses very accurately and obtain generally natural looking images without eyeglasses. In face recognition test, our approach greatly contributed to the accuracy of recognition, achieving higher improvement than other approaches such as simple PCA reconstruction, iterative error compensation, and weighted fusion.
Bilateral Filtering Algorithm Research Based on Improved Weight Values
Authors: Zhao Qian , Wang Xiao Hua , Zhou Duo
Published: June 2014

In allusion to the problems that the traditional bilateral filtering algorithm is based on pixel level, the intensity similarity weight values may be disturbed by noises. a modified bilateral filtering algorithm is proposed, which uses wiener function to estimate the values of the centre pixels according to neighbor pixels, thus, noise interference on the weighted coefficient can be reduced. Furthermore, Gauss function is replaced by Geman-McClure (GM) function to improve denoising performance. The experimental results show that the proposed algorithm can get denoised image with higher subjective visual quality and objective evaluation index.