bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Bed Thickness and Shoulder Resistivity on Array Induction Tools
Authors: Zhang Jian Hua
Published: December 2014

Array induction tools can be used to measure the resistivities of thin beds with 1ft or 2ft thickness in theory. The measurements were affected by formation thickness and shoulder resistivity.The array of 1ft resolution has good vertical recognition ability. For thick beds, both 1ft and 2ft resolution matching data tent to the same and all apparent resistivities have less variation with bed thicknessH. The influence of shoulder resistivity on AIT measurements decreased with the increasing of formation thickness. The greater is the difference between shoulder resistivity and formation resistivity, the poorer is the vertical resolution.
The Design of Digital Storage Oscilloscope Based on Virtual Instrument
Authors: Hui Zhang , Jin Mei Shan , Zhai Yan Nan , Gao Ling , Li Jun
Published: December 2014

We use LabVIEW software and PCI-6024E data acquisition card to design the virtual digital storage oscilloscope. The oscilloscope makes full use of the capabilities of computer storage and connected with the external device.The measurement waveform can storage once, long-term preservation and multiple display,so that we can observe the signal of single change and slow change. Waveform have a variety of ways output. The hardware is open, we can increase the software module by modifying to increase the function of the instrument.
Evaluation Model of Students' Entrepreneurship and Innovation in Higher Vocational College under Regional Development
Authors: Sang Lei
Published: December 2014

The starting point of the article is evaluation of students’ entrepreneurship and innovation in higher vocational college. Combing with existing study on indicators system and scientific practice, the article introduces the method of comprehensive evaluation, constructs evaluation model with three levels and forty specific indicators, briefly analyses specific indicators.
Research on the System of Data Mining Based on Hadoop
Authors: Zhen Xin Yu , Xia Yong
Published: December 2014

Hadoop, is becoming a necessary part of a large-scale data mining system. Therefore, this issue is exactly a kind of practice of data mining tasks on the hadoop distributed Systems. In this paper, the main task is to build a distributed cluster computation environment using hadoop and implement a data mining task in the environment. We select data clustering task as a representative, and select the K-means clustering algorithm to do in-depth research.
Explore the Process of Computer Sports Simulation
Authors: Hou Zhi Hong
Published: December 2014

Computer simulation in sport sports field has broad application prospects in recent years, has been successfully applied such as diving, gymnastics, trampoline, weightlifting and other sports items. This paper summarizes the research status by computer modeling, analysis of the characteristics and scope of several major modeling methods, to further explore the process of establishing sports computer simulation system.
Short-Term Load Forecasting Based on Big Data Technologies
Authors: Zhang Xin , Cheng Ming , Liu Yang , Li Dong Hua , Wu Rui Min
Published: December 2014

In recent years, wide installation of smart meters and implementation of Smart Meter Management System (SMMS) provides data foundation for short-term load forecasting. In this paper, a new load forecasting approach is proposed based on big data technologies using smart meter data. The new approach analyzes the characteristics of numerous electricity users, which helps system operators identify influencing factors. Big data architecture can handle large amount of data and computation efforts. Compared with the traditional system load forecasting methods, this new approach produces better prediction accuracy.
Research of Data Mining Technology under Tourism Information
Authors: Zhang Yun Bo , Wang Dong , Wu Jiang
Published: December 2014

In this paper, a large amount of raw data has been accumulated in Sanya travel system, and uses the data mining techniques to achieve the Sanya tourism management by the tree algorithm and associated computer research technology. Realizate the interestion of tourist visitors in shopping trends analysis, the model used include regression analysis and trend analysis to analyze behavior characteristics and trends of tourists. It provides scientific support about tourism services management and tourism marketing strategy, and played an important role in Sanya tourism information applications.
An Improved Concept Lattice-Based Data Mining Algorithm
Authors: Zhu Jian Xin
Published: December 2014

In order to solve the multidimensional data model and relational data model,query between the two-way data system, data cleansing, data conversion, distributed data accuracy and consistency control problem, this paper described the concept of grid related, the global data mining combined with local data mining is proposed based on local information based on the concept of a global grid of data mining algorithm, and the mining process was divided into ETI. Action, combined with the ETI. Process workflow, using amounts of data distributed parallel sequence mining. Experiments show that the algorithm has a good effect on enhanced data processing capability.
Research and Application of Data Mining(DM) in the Analysis of Postgraduate Admission Information
Authors: Hui Hui
Published: December 2014

By applying the DM technologies such as Association analysis and Cluster analysis, this paper has made systematic empirical research combined with the postgraduate admission data of the key College C in Beijing, and also made description and analysis of the mining results. This paper has applied the DM method and knowledge theory in practice, which has offered strong support for the postgraduate admission management of College C.
Association Rule Mining and Evaluation Based on Information Security Vulnerabilities Main Body
Authors: Sui Ying
Published: December 2014

Information security is a matter of concern in any sector and industry, and the vulnerability is the important factor which caused this issue. Therefore it is necessary to analyze and predict the occurrence of vulnerability. This paper used the datas of CNNVD vulnerability database and Apriori algorithm to analyze and predict the occurrence of software vulnerability. In the data preprocessing stage by changing the level of vulnerability rule we can dig out more concept association. In the evaluation stage of association rules by designing filters we can find the rules in line with the degree of user interest. Finally, this papper could demonstrate the effectiveness of of this method by experiments.
GM (1,1) Model Application in Power Load Forecasting Based on Sliding Average Method
Authors: Song Li Zhi
Published: December 2014

The grey prediction method is simple in principle, the sample size was small and simple, suitable for load forecasting.But grey model has some limitations, the data dispersion degree is more bigger,the gray is also more bigger, it will reduce the accuracy of prediction.This paper adopts the moving average method to improve the raw data , so as to increase the data weights, while avoiding predicted value excessive volatility .Through a city of China's power load is instantiated to verify, and Then analyze the results, found that after the GM (1,1) model improved by moving average method can effectively improve the accuracy of load forecasting.
The Design and Analysis of the Information Management System Based on Data Mining
Authors: Zhang Ya Ni
Published: December 2014

This paper studies on the data mining technology based on association rules, and analyzes on important algorithm in association rules - the advantages and disadvantages of Apriori algorithm and puts forward an improved Apriori-mapping algorithm based on address mapping. This algorithm adopts the way of horizontal deposit transaction, establishes candidate item identification list of corresponding candidate project transaction and length value of transaction list. And shorten the pruning operation time by address mapping, and compress the frequent item sets number of operation connected operation with large amplitude.The system efficiency is improved, and the performance of the algorithm has been improved by experiment.
Study on the TSP Problem Based on SA Algorithm
Authors: Pan Jun , Cheng Zhi Guo , Lv Ji Yao
Published: December 2014

This paper describes the simulated annealing algorithm and TSP problems, analyze the applicability of simulated annealing algorithm to solve TSP problem, and takes China urban travel questions as an examples to vertified the validity of the model, the results showed that when the number of iterations reached at 4000,it will obtain the optimal solution.
Study of Topic Life Cycle Based on Hierarchical HMM
Authors: Pan Tao , Chen Qian , Lv Dong Dong , Yuan Shu Han , Jin Xin
Published: December 2014

This paper presents a topic ontology tree based hierarchical HMM (hHMM), and the generation of topic property based life cycle curve is studied. Compared with the traditional methods, this model can describe the hierarchy relations of topics.
Stochastic Gradient Descent Based K-Means Algorithm on Large Scale Data Clustering
Authors: Ding Jie , Zhu Li Peng , Hu Bin , Hang Ren Long , Sun Yu Bao
Published: December 2014

With the rapid advance of data collection and storage technique, it is easy to acquire tens of millions or even billions of data sets. How to explore and exploit the useful or interesting information for human beings from these data sets has become an urgent issue. Traditional k-means clustering algorithm has been widely used in data mining community. First, randomly initialize k clustering centres. Then, all instances are classified into k different classes according to their distances to clustering centres. Lastly, update the clustering centres by the mean of its corresponding constituent instances. This whole process will be iterated until convergence. Obviously, at each iteration, distance matrix from all instances to k clustering centres must be calculated which will cost so much time when encounter large scale data sets. To address this issue, in this paper, we proposed a fast optimization algorithm based on stochastic gradient descent (SGD). At each iteration, randomly choose an instance, search its corresponding clustering centre and then update it immediately. Experimental results show that our proposed method achieves a competitive clustering results with less time cost.
An Improved Harmony Search Algorithm with Application
Authors: Li Jian Ping , Lu Ai Ping , Wang Hao Chang , Li Xin , Li Pan Chi
Published: December 2014

In classical harmony search algorithm, only one harmony vector is obtained in each of iteration, which affects its search ability. We propose an improve harmony search algorithm in this paper. In our approach, the number of harmony vectors obtained in each of iteration is equivalent to the population size, and all newly generated harmony vectors are put into the harmony memory array. Then, all harmony vectors are sorted by descending order of the fitness, and the first half individuals are served as the next generation of populations. Experimental results show that our approach is obviously superior to the classical one under the same iteration steps and the same running time, which reveals that our approach can effectively generate the excellent individuals approximating the global optimal solution and enhance the optimization ability of classical harmony search algorithm.
Automatic View Selection Algorithm Based on Particle Swarm Optimization
Authors: Yao Xiao Ling , Wang Yan Ni
Published: December 2014

This paper proposes an automatic viewpoint selection algorithm based on the particle swarm optimization. The method introduces particle swarm optimization algorithm into the design of transfer function and viewpoint selection. By the method, the search for the transfer function and the optimal viewpoint are redeveloped as a global optimization problem to reduce the reluctant computations and interactions. And the image sequence focuses on the interesting part and displays the objects on the optimal position.
Research on Nonlinear Modeling Method of Support Vector Machine with Wavelet Derivation Kernel Function
Authors: Wang Ping An , Gan Xu Sheng , Gao Wen Ming
Published: December 2014

The model capability of Support Vector Machine (SVM) relies on the selection of kernel function. To obtain a better application modeling of SVM, the wavelet kernel function that satisfies Merce condition is introduced to use the kernel function of SVM, achieving a good effect. In the paper, on the basis of wavelet kernel function, a wavelet derivation kernel function is proposed in the application of SVM for higher accuracy. An actual example on nonlinear function approximation shows that SVM regression model has a satisfactory approximation effect, and also support an effective nonlinear modeling method.
Simulation Calculation of Friction Factor of the End Face for Mechanical Seals Based on Fractal Theory
Authors: Wei Long , Zhang Peng Gao , Fang Gui Fang
Published: December 2014

In order to study the effects of operating parameters and surface topography on friction factors between the end faces for mechanical seals, a friction factor fractal model between end faces for contact mechanical seals was established based on the contact fractal model and the average film thickness fractal model, adopting fractal parameters to represent surface topography, separating friction into viscous shear friction of liquid film and contact friction of asperities, and representing the effect of actual rough surface on viscous shear stress of liquid film by introducing the contact factor. The influencing factors of friction factor for B104a-70 mechanical seal were analyzed by simulating. Results showed that the friction factor between the surfaces increases with the increases of spring pressure when the end faces are coarser, while the friction factor decreases slightly with the increases of spring pressure when the end faces are smoother. The friction factor between the faces decreases with the increases of the sealed fluid pressure, which increases approximate linearly with the increases of rotating speed, and it increases with the increases of fractal dimension of end faces and the decreases of the characteristic scale factor.
Research on a Class of Multi Parameter Fractal Interpolation Curved Surface Based on Iterative Function Image Generating Method
Authors: Zhang Wei , Tang Xiao Chun , Wang Jing
Published: December 2014

This paper extends the polynomial function to double logarithmic function, constructing a class of multi parameters iterative function, and uses this function to calculate the fractal interpolated surface for given interpolation points, and establishes the iterative function mathematical model of multi parameters fractal interpolation. In order to verify the effectiveness and reliability of this proposed model algorithm, this paper uses MATLAB numerical simulation method to calculate, and programs the Newton iterative function of multi parameters fractal interpolation surface, finally gets calculation nephogram of multi parameters fractal interpolation curved surface through calculating. Finally, using iterative method reduces the surface grid size, increasing the smoothness of the surface, so the surface is closer to the actual surface. It provides a new computer method research of fractal interpolation function.
Actual Thermal Condition in Chinese Textile Workshop
Authors: Yang Rui Liang , Xu Zi Long
Published: December 2014

To investigate the actual thermal condition in Chinese textile workshop, thermal comfort vote (TCV), actual mean vote (AMV) and thermal acceptability (TA) were carried out in this paper. 41 workers with years of work experience and 23 students with rarely entering into workshop were chosen as the subjects. Though 61% workers and 74% students feel warm or hot in the textile workshop, 24 % workers and 39% students feel very uncomfortable warm or extremely comfortable in the textile workshop, while 100% workers and 96% students were not very resistant to the thermal environment of the textile workshop. Ideally the AMV value should equal to TCV value, in fact only half of the subjects to meet this rule. On average, the TCV value is lower than the AMV value up to 0.6 scale point. Compared to students with rarely entering into the workshop, workers can adapt more easily to the hot and humid environment of the textile workshop.
Extrapolating Validation Using Bayesian Networks with Interval Probabilities
Authors: Zhao Liang , Yang Zhan Ping
Published: December 2014

This paper develops a model validation method in the case of the full scale tests for the system model are infeasible. The Bayesian network with uncertain conditional probability parameters is used to represent the relations between the large computational model and its smaller modules. The interval probability theory is adopted to extrapolate the posterior probability of the interested variable in the uncertain Bayesian network. An interval valued Bayes factor is obtained to be the metric for model validation.
Active Disturbance Rejection Control for Improved Depth Model of AUV
Authors: Liu Jun Jie , Chen Hong , Wang Lei , Yu Ming Yang
Published: December 2014

This paper studies the implementation of an ADRC to deal with depth variations of AUV. The depth model of AUV is decoupled from the 6 DOF dynamics function at first. Then, the least square method is introduced to identify the nonlinear open-loop model of AUV offline, and a more accurate depth model that varies with the elevator angle is achieved. Finally, ADRC is applied to the improved depth model with the disturbance of inaccuracy elevator angle and the error of depth measurement. The result confirms that AUV depth model varies with the elevator angle, while the ADRC controller could reject the errors in the depth sensor and the disturbances of mechanical transmission of rudder and the nonlinear variations at different operating points. Comparing to the traditional PID controller, ADRC performs better respectively with these uncertainty. The contribution of the proposed controller would support to the future application to 3D motion control and path tracking of AUV in practice.
The Design and Application of Comprehensive Evaluation Data Mode into Professional Musical Performance
Authors: Deng Ya
Published: December 2014

With the development of economy, people lay much more emphasis on their spiritual demands such instrument. Therefore to learn a kind of instrument has become a crazy phenomenon in our society. Consequently the evaluation on the playing of professional instrument is of great significance. Currently comprehensive evaluation method is popular and widely applied into the evaluation of the people’s degree of professional instrument playing, which can on the one hand test the real strength of a performer and it can also be employed as a means to propel the performers to improve their strength in arts.
Pointwise Saturation Theorem of Bi-Continuous Semigroups
Authors: Chen Cang
Published: December 2014

By means of Riemann-Stieltjes stochastic process, moment-generating functions and operator-Valued mathematical expectation,the problem of probabilistic approximation for bi-continuous semigroups was studied and the saturation theorem of probabilistic representations of semigroups are obtained .
The RBF Neural Network Learning Algorithm Based on Entropy Clustering and Competitive
Authors: Song Shao Yun , Luo Mao
Published: December 2014

Research and analysis of RBF neural network structure and characteristics. Find out its shortcomings and propose an improved method for the deficiencies, then created a neural network model for using entropy-based clustering and competitive learning algorithm. Using MATLAB simulation tools for model simulation, confirmed the entropy clustering and competitive learning algorithm of FBF prediction neural network have high precision and generalization ability of stronger character.
An Application of AHP and FAHP on the Model Prediction
Authors: Dong Xi Shang , Ma Huai Zhi , Yang Zhen
Published: December 2014

Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) are important methods in model prediction. In this paper, a case concerning in how to estimate the serial criminal’s next possible crime location is researched. Two models are devised to determine the “geographical profile” of a suspected serial criminal. Model 1 is proposed that we use the AHP and consider many factors which may influence a criminal to choose his next crime location. Model 2 is an improvement of Model 1. It is a combination of the FAHP and the Fuzzy Comprehensive Evaluation Theory (FCET). And it overcomes the difficulty of dealing with uncertain factors, which model 1 cannot work. In the end, performances of the above models are analyzed.
Resource Scheduling Optimization Model in Cloud Computing Environment
Authors: Kang Chun Yan , Shi Tie Jun
Published: December 2014

In the process of cloud computing, the dynamic hierarchical resource index is researched, and the independent confusion cloud computing is studied. This problem has become the focus of data processing. Therefore, it needs to establish improved dynamic layered resource index independent confuse cloud computing model. According to the theory of support vector machine, all of the resources are taken with dynamical layered processing, different levels of resources are taken with the independent confusion cloud computing. The experiment results show that, this algorithm is taken for the dynamic layered resource cloud computing, calculation efficiency can be improved, computational complexity and redundancy are reduced, meet the practical demands of dynamic hierarchical resource index independent confused cloud computing. It has good application value in the cloud computing application.
Research of Dimensionality Reduction for Fatigue Stress Concentration Factor Based on SVM by Linear Kernel
Authors: Yang Jian Feng , Li Zi Sheng , Jiang Gang , Chen Jian Fei
Published: December 2014

We collected fatigue stress concentration factor and used Support Vector Machines (SVM) by linear kernel to reduce dimension processing. In order to research the way of dimensionality reduction for data, we also processed the sample of stress fatigue concentration factor to compare with Principal Component Analysis(PCA). The results showed that the sample is processed by linear kernel could improve efficiency to train by SVM again.
Simulation and Visualization of Wireless Sensor Networks Based on NS2
Authors: Luo Gao Feng , Shi Zi Juan , Xu You Quan
Published: December 2014

This paper analyzed wireless sensor network simulation technology. We discussed the principles of wireless sensor network simulation based on NS2 and constructed a visual simulation model for wireless sensor networks. By adding NS2 protocol and setting the sensor nodes and some simple parameters, the system presented the running process and the performance of the network in the form of animation and graphics. The results show that this method simplifies the process of simulation of wireless sensor networks, and improves the efficiency of wireless sensor networks research and development, which provides support for the development of application-oriented networking of wireless sensor networks.
The Establishment of Enterprise Information Systems Based on Computer Network
Authors: Wang Wei , Yang Wen Ting , Ye Gui Xian , Sun Jun Lan
Published: December 2014

Enterprise information system is based on the condition of the computer network technology information platform. It has an important value for enterprises to enhance its brand influence, enhance customer management, promote the development of e-commerce processes, promote enterprise management level, adapt to the current situation of information and other aspects of economic development. There are some problems in the current enterprise information system construction. The current information system should make scientific plan, expand information systems development space, play a catalytic role in the government promote, emphasis on information security, strengthen of human resources and team building starting implementation of enterprise information systems building strategy.
The Design and Implementation of Data Center Autonomous System Based on Zigbee
Authors: Chen Yi Jun , Yin Li
Published: December 2014

Network is the foundation of education informationization, supporting campus teaching and scientific research. Data center functions as the nerves center of the whole network that plays the crucial role for the stable operation of the network. Thus it should be guaranteed stable operation. Regarding to the problem that high-precision air conditioner remains high energy consumption of the entire data center, embedded web system - based technology is put forward in this paper. The technology uses MSP430 microprocessor, CS8900A network chip and temperature humidity sensor to construct long-distance intelligent monitoring system based on Zigbee terminal node equipment. Consequently it can be realized that high-precision air conditioner can be conducted quadratic optimal control through the system of the sum of environment temperature acquisition and control, and air condition linkage feedback. It is stated by the results that PUE of data center is reduced and a green and energy-efficient data center can be built by deploying the system.
Research and Realization on Sensorless Brushless DC Motor Control System
Authors: Liang Yu Hong , Huang Hai Bo , Cheng Deng Liang , Lan Jian Ping
Published: December 2014

Brushless DC Motor is a kind of a new motor which commutation signals replaces traditional motor mechanical structure with electronic signals. Square wave brushless DC motor can be divided into sensor motor and sensorless motor. Position sensor will increase system cost, motor size and maintenance difficulty, which bring about limitation and limits to promote its application in all areas. This project designs sensorless BLDC Motor control system with the core of the stm32 micro-controller and uses Back-EMF zero-crossing detection method. In the system designing software control algorithm, drawing schematic diagram of hardware and making PCB board have been completed dependently. The experimental results show that the system can well realize the starting and running of sensorless BLDC Motor control system, and have a good measure of protection.
Research on Internet Gambling Crime
Authors: Qin Jin Biao
Published: December 2014

Internet gambling crimesas same to general gambling crimes is a complex social phenomenon. And it present fast development, a wide range of effect and deep degree of harm. According to the characteristics that it is diffculty to find investigation and eradicate in practice. The investigation should find it difficult for online gambling crime, investigation and evidence we should strengthen awareness initiative investigation about the investigation uncover clues.Adopt a multi-force investigation coordinated operations multisectoral ideas, strengthen the investigative mechanism about related cases andeffectively combat internert gamblingcrimes.
The Research and Application of Forensic DNA Fragment Analysis Software
Authors: Yang Lin
Published: December 2014

Forensic DNA analysis software is dedicated with forensic DNA testing platform matching data analysis tools, which can realize the platform acquisition, pretreatment of DNA data analysis and deep processing. It realizes the automation of forensic DNA testing process, further to get rid of dependence on foreign analysis software of DNA testing technology in China. It has a good prospect of popularization and application.
Research on Web Search Engine Optimization and its Application
Authors: Huang Wei Zhong
Published: December 2014

The universal search engine, which is widely used now, has significantly improved the efficiency of retrieving information. According to CNNIC (China Internet Network Information Center) 26th Internet survey, the search takes up 76.30% for absolute advantage as a major way for users to obtain information from the Internet. Among almost all the surveys of using on the Internet in the world, search engine is second only to e-mail service. But with the growth of a wide range of information, these universal search engines can not meet people's needs either in retrieval precision or in retrieval efficiency when retrieving information on a subject or topic. That's because as long as the user enters the same keywords, the feedbacks of universal search engine are just the same. Universal search engine does not take the differences in interests and needs between different users, which often exist, into account. For example, dentists and ceramics enthusiasts would hold different concerns about the term "ceramic". In order to be more rapid, accurate and efficient in retrieving information on particular subject or theme, it is essential to develop information retrieval systems on specific areas, that is, the domain-specific search engine.
Domain Name System during the Transition from IPv4 to IPv6
Authors: Tian Hong Cheng , Wang Hong , Ma Jin Kui
Published: December 2014

IPv4 and IPv6 will coexist for a long time, due to ISPes’ inertia in the transition from IPv4 to IPv6. Domain Name System (DNS) is a very important functional unit in the Internet. This paper describres the hierarchy and operating process of IPv6 DNS, IPv6 DNS resolver, and presents the DNS transition from IPv4 to IPv6 in particular. We suggest two methods to implement DNS service during the transition period: DNS-Application Level Gateway (DNS-ALG) with Network Address Translation-Protocol Translation (NAT-PT), and dual stacks. And we also propose their respective operational principles. This paper is of valuable reference for network engineers to construct DNS in the transition phase.
Dynamic Simulation Research Based on AMESim Load-Sensing Pump
Authors: Zhang Ji , Zhang Tie Zhu , Cheng Lian Jun
Published: December 2014

In this paper, based on the analysis of load-sensing principles, load-sensing pump mathematical model is derived, using the software AMESim to establish the physical model is intuitive, and conducts the simulation research, the dynamic operation curve. Research has shown that: load sensing valve spring stiffness, spool, spool diameter opening shape and quality response to dynamic load sensing pump will have a significant impact, which has a certain reference value for designing and using load sensing pump.
Research on the Design of Network Media Visual Communication
Authors: Li Suo
Published: December 2014

With the rapid popularization of the Internet, great changes have taken place in human life. Network represents a new way of exchange of information, and network-based visual communication media is a form of media, it is the development of visual communication design that brings changes in the design process, affecting the design style, design thinking, showing magical personality style.
Research on the Risk Characteristics and Regulation Paradigm of Internet Financial
Authors: Liu Tian Xiong
Published: December 2014

Based on introducing the Internet finance and its development course, it combed the Internet finance related theory and analyzed the Internet financial P2P network model. The raised platform model has big data financial mode and third-party payment mode and development mode and puts forward the thinking of Internet financial risk and regulation.
Research on Application of Virtualization Technology in the Construction of Digital Hospital
Authors: Wen Hao Jie , Hu Min
Published: December 2014

With the development of the hospital information construction, there are the continued implementations of virtualization technology in a variety of business applications, which can integrate and deploy these resources, and improve equipment utilization. In this paper, we analyze the problems existed in traditional hospital data center architecture, proposes the construction of new hospital data center using virtualization technology from the aspects of virtualization framework, server resources integration, network configuration optimization, etc. Server virtualization integration could save resources, improve server utilization ratio, simplify the hardware maintenance and upgrades, reduce operating costs and improve maintenance efficiency. We have introduced the experiences of Virtual Technology using in the hospital data center storage, the core server, integration system, network application and remote access applications, server and database platform as well as the application effects, which make a useful exploration for the building and the development of digital hospital.
Research on Status Quo and Prospects of Online Travel Information Search
Authors: Han Zhi Fei , Qi Hai Xia
Published: December 2014

As an emerging research issue of the tourism and electronic commerce, tourism information searching has become the focus of scholars. The foreign scholars have achieved fruitful results since 1990s, while studies on this field are more actively at home these years. The current study aims at helping the researchers better by comprehending the existing finds and recently perspective, we summarized and categorized the findings of research in recent years, and expect to present an overall and timely analysis.
Design and Implementation of Business Evaluation System in Business Intelligence Network Management System
Authors: Wu Qiu Hong , Zhao Huan
Published: December 2014

Until now Intelligent network technology has been widely used in the communication network. In recent years, competition in the mobile communication market is more intense, the user of communication network has put forward higher request in smart grid technology’s service and quality. Improving its marketing competition and ensuring intelligent network operate in the right direction have become the urgent desire and demand of the operator. In consideration of the demand of operators, this paper puts forward solutions for Intelligent network which based on mobile intelligent network‘s business evaluation system, and introduces the design and development of the evaluation system of the business in detail.
Study on Risk-Driven Iterative Development Method of Geophysical Information Management System Based on RUP
Authors: Zhang Wei , Yang Jin
Published: December 2014

It is the function of Geophysical Information Management System to manage these data and provide database for the project decision-making. This paper uses Unified Modeling Language to describe and construct the system model by means of iterative and incremental development method under the guidance of mature Rational Unified Process. The analysis and design of Geophysical Information Management System can not only reduce the risk of failure, but also meet all the users’ requirements.
Research on Network Literature Recommendation Technology Based on Literature Tag
Authors: Fu Tian Ran , Song Guo Hui
Published: December 2014

With the development of network literature website, the number of network literature increase dramatically. Readers will hardly know which literature to select from the great mass of network literature that steadily accumulates. Some network literature website use collaborative filter method to recommend potential interested literature to user. However, the collaborative filter algorithm has many defects, such as cold start and sparsity. To solve these problems, we propose a new method which based on literature tag. This method is helpful to overcome collaborative filter algorithm’s shortcoming.
Design and Realization of ECP Dynamic Navigation Based on .NET
Authors: Zhou Shao Jing , Chen Wen , Li Wei , Chen Zhen Ting , Rong Hui
Published: December 2014

The E-learning has penetrated into people's life, and has become an important learning way. Because there is no uniform development platform, which leads to resource sharing is poor; developers have to carry a lot of repeated work, so it is necessary to construct the ECP. To construct unified e-learning platform, need to consider its commonness and individuality, and e-learning home reflects the most prominent. Man-machine interface of the e-learning home is main navigation links, so this is to realize dynamic navigation as research object, designed and implemented the ECP dynamic navigation based on .NET Framework.
Improving Domain Name Service Availability via Cache Optimization Methods
Authors: Yuchi Xue Biao , Hu An Lei , Lee Xiao Dong
Published: December 2014

Domain Name Service (DNS) is essential to modern Internet activities. Cache issues in DNS are one of the most critical to ensure the stability of DNS service. To improve the performance of DNS Cache, here we present a solution for DNS cache architecture optimization. Based on this solution, we further give a novel DNS cache backup method in this paper, in which a dynamic incremental DNS cache synchronization mechanism is proposed.
A Read-Write Optimization Scheme for Flash Memory Storage Systems
Authors: Yang Yin , Li Wen Yi , Wang Kai
Published: December 2014

In this paper, we propose a novel and efficient read-write optimization scheme for flash memory storage systems, we have named RWF: Read-Write FTL. In the proposed scheme, we effectively connect Logical Sector Number, Logical Block Number, Logical Page Number, Physical Page Number and Physical Block Number. RWF through uniting log blocks and physical blocks, all blocks can be used for servicing update requests. The invalid blocks could be reclaimed properly and intensively, it can avoid merging log blocks with physical blocks. At last, through the simulation test on RWF and the comparison with other schemes, which demonstrate the RWF can effectively solve data storage problems, and it greatly reduces erase count of flash devices and efficiency improves the performance of flash memory storage systems.
Design and Implementation of Mobile Meter Reading System Based on SOA
Authors: Tong Shi Meng , Wang Yong Zhi , Sun Feng , Hao Cheng Long , Ren Shou Ze
Published: December 2014

This paper mainly studies the design and implement of mobile meter reading system based on SOA. The mobile terminal can save offline power reading data in its local database and communicate online recorded data with the server through Web service interface based on the internet. The Web service components perform interaction with the database server. This system is developed by using programming language Java and embedded database SQLite on Android platform. This mobile application can be available to download customers' data from the server or update new meter reading data to the server and then the operators can accomplish their works conveniently during the interviewing with the customers without going back to the office.
Reliability Analysis of Highway and Transportation Network with Nodes Failure
Authors: Chang Shu Chun , Li Li Xing
Published: December 2014

It is necessary to study the reliability of highway and transportation network. The highway and transportation network model was constructed and the degree centrality was measured, at last the reliability of Road-model was analyzed with different nodes failure strategy.
Mobile E-Commerce Personalized Information Recommendation Model
Authors: Wang Yue Ming , Wang Rui Li , Xu De Xun
Published: December 2014

In recent years, the mobile Internet got swift and violent development, business gradually permeate into almost every a of people's work and life, personalized recommendation system model has important application value in mobile commercial activities, this article expounds the mobile commercial personalized recommendation model, and analyzed its structure, discussed the method of using cloud computing for mobile business and the necessity of large data processing.
Research and Implementation of Virtual Campus Roaming System Interaction Function Based on OSG
Authors: Liu Jian Lan , Zhu Li
Published: December 2014

The development of computer simulation technology makes virtual reality technology gradually applied to various fields. The implementation of virtual campus roaming system is an important embodiment. This paper combines with 3 d graphics rendering engine Open Scene Graph to study virtual campus interactive roaming system with a variety of functions. First of all, this paper introduces basic technologies interactive functions needed such as matrix transformation, quaternion in OSG, expounds OSG scene roaming theory, key research and implements human-computer interaction function of collision detection, scene roaming and path roaming, which introduces the switch between scene roaming, viewpoint following, path roaming by button C, and make campus roaming system have good immersion and realities and real-time performance.
Database System of Business Case Based on Network Perspective
Authors: Xi Juan , Li Wei
Published: December 2014

School enterprise cooperation mode is the double oriented education model based on enterprises needs and teaching goal, and is an effective way of improving the universities teaching quality and cultivating students' practice innovation ability. Based on the network perspective and enterprise demand, the paper designs a kind of new business English teaching cases computer system, and the system uses the internet interactivity make enterprise staff and teachers can achieve real-time interaction. In order to optimize the teaching case system, this paper uses parabolic interpolation to carry on multi node modification for the network transmission signal, and then a single objective network nodes optimization model will be established, and the use of VB software carries out visual programming for the system, it can enhance the system easy to operate and real-time interaction, which provides a new method for the design of computer English teaching case.
The Transitional Simulation of Self-Propelled Winch System by the AMESim
Authors: Yue Jing Tao , Pu Hui , Wei Xiao Jun
Published: December 2014

The self-propelled winch system was studied taking the 20-ton transitional self-driven winch system as the engineering background. By the analysis of structural characteristics, control loops, speed solutions and hydraulic motor-driven forms of winch hydraulic system, The system of mathematical models was established which lay the foundation of the establishment of system simulation model. The walking hydraulic drive system simulation models were established by using AMESim software. On this basis, by setting different parameters, the simulation system operating conditions are simulated, which verified the rationality and stability of the design of the winch hydraulic transmission system.
Design on College Sports Course Management System
Authors: Pan Jian
Published: December 2014

Sports Course management system is an important part of the sports discipline management, construction and improvement of management systems has important implications for guiding sports activities. In this paper, college sports course management system has been designed, first elaborated the technology is mainly used in the system design, then analyze the functional modules of the system, including: students elective course, sports scores, sports course, sports activities, sports facilities, student physique health standards, sports health, teacher-students communication, 8 management module. The system basically achieve the student's online information search, elective course, teacher fully grasp the student information, entry student achievement and school administrators to manage the course information release, the sports course information management and other functions.
Association Analysis and Processing Strategy for Network Events Based on the Combination of RBR and CBR
Authors: Chen Long , Chen Yu Hui , Liu Jia Hua , Kang Rui , Tang Hai Rong
Published: December 2014

In order to ensure the high performance, the high reliability, the high availability and the high service quality of network, fault management has become an urgent problem to be solved. The application of Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR) is recognized as an economically viable network fault process technology. To meet the demands of network fault management, this paper presents an association analysis and processing strategy for network events based on the combination of RBR and CBR. The network events are firstly passed through pretreatment module, the useful ones are saved for the following processing. Then, the first processing strategy which is more appropriate is select by RBR/CBR selector. Besides, a new CBR processing strategy is proposed by this paper. By the use of the algorithm based on the preliminary screening and the calculating of variance, the processing efficiency of CBR improved. At last, if the alarm event is not been solved, the system will alarm the related people and the solution can be used to rich the rule base and the case base. Based on these steps, experimental results are given to verify the proposed strategy.
Design of Custom AXI4 IP Based on AXI4 Protocol
Authors: Zou Yong Yang , Chen Ming , Wei Kang Lin
Published: December 2014

In addition to its own function, the realization of the custom AXI4 IP ,to a large extent,depends on the development tools.The method of custom AXI4 IP is mainly introduced in this paper.The Xilinx Vivado Design Suite is the development environment for custom AXI4 IP.The generated IP is a AXI4 slave IP which implements the data access.In order to accurately verify the AXI4 slave IP,an embedded system on a chip is created to make a processor and the generated slave IP link together.TheZynq-7000 All Programmable SoC is fully taken advantage of to prove that the AXI4 slave IP functions well.A simple application program runs in a SoC.The terminal that can display output results shows the slave IP work well and gets the desired results.
Construction on Data Flow Diagram and Data Dictionary of Chinese Online Examination System
Authors: Yang Jun
Published: December 2014

Chinese plays an important role in human life, so Chinese online examination system must be developed in the light of shortcomings of the traditional Chinese examinations. Data flow diagram and data dictionary in this paper are the basic work of developing Chinese online examination system and lay the foundation for requirement analysis. A hierarchical data flow diagram was built in the data flow diagram, and the top-level data flow diagram consists of two things: the system name and two external entities that are teacher and student, and one-layer data flow diagram was divided into teacher subsystem and student subsystem data flow diagram according to subsystem; extracted one from each category entries in the data dictionary, and teachers (external entities), papers information (data stream), papers generation (processing), submission information tables (data storage) were described namely.
Development and Research of Management Information System Based on Multilayer Structure
Authors: Liu Shuang
Published: December 2014

In the whole process of developing the management information system, people give priority to application of new technology and instrument such as the newly developed instrument Visual Studio from Microsoft. Connected with SQL Server 2000 data base, VB.NET, ASP.NET and ADO.NET technology are able to make the structure of softwares more reasonable, convenient and pragmatic, largely increasing the overall property of the software system. According to the steps of engineering design, this passage is to illustrate the entire system in an all-around way in terms of demand analysis, integrated design, data base design, safety design as well as report design. This passage is to illustrate a design process of a management information system based on C/S and B/S multilayer structure.