bluuebunny/crossref_metadata_2025 huggingface dataset:
Cascading Failure Model of Interdependent Power Networks Based on Load Redistribution
Authors: Wu Run Ze , Zhang Bao Jian , Wu Hao , Yang Xiao
Published: August 2014

With the development of networks, the relationships between networks have also been increasingly intimate. It is envisioned that these interdependent networks are more vulnerable. In order to study the robustness of interdependent networks, in this paper, we characterize a load redistribution model based on distance and cascading failure model about interdependent communication network and power network. The failure model joined the load factor on the basis of the penetration model. We analyze the influence of different distribution distance threshold to interdependent networks. The simulation shows that global redistribution yields better performance and enough capacity cannot prevent cascading failure completely.
The Application of Derivative in the Field of Manufacturing and Mathematical Modeling
Authors: Yan Yuan Wei
Published: August 2014

This paper is about the term as used in calculus.The derivative of a function of a real variable measures the sensitivity to change of a quantity (a function or dependent variable) which is determined by another quantity (the independent variable). It is a fundamental tool of calculus. This paper is based on the application of derivative in the field of manufacturing and mathematical modeling
Study and Design of PFC Circuit of LED Driver Power
Authors: Zhang Shao Hua
Published: August 2014

Based on the full analysis of the LED drive power of active and passive (PFC) circuit, the active and passive (PFC) circuits of the LED drive power are performed a detailed analysis, and the types, series and mode of the PFC circuit are also described in detail, the working principles of the valley fill circuit and APFC boost converter are mainly analyzed. Based on those studies, an APFC circuit is given by the use of L6562A and a simple application of APFC circuit presented.
Modeling Simulation of Single-Phase Arc Grounding in Neutral Un-Effectual Grounding Power System Based on Matlab
Authors: LI Ya Liang , Zhao Fei , Liang Zhi Rui
Published: August 2014

Generally in China, the power distribution networks below 35kV level are Neutral un-effectual grounding systems. Single-phase electric arc grounding failure takes up the majority of neutral un-effectual grounding power system failures. However, it is a very complex process to deal with arc fault so that establishing a mathematical model for arc becomes challenging. Matlab Simulink was hence utilized to establish arc simulation model. Comparisons were made between the ideal wave form and the result based on the single phase arc grounding fault simulation to test the validity of the model, which shows good consistency.
Research of LED Emission Cross-Section on Light Communication Systems
Authors: Qi Wei Min , Xiao Jie
Published: August 2014

Visible light communication (VLC) is an optical wireless communication technology that uses visible light emitting diodes (LEDs) as a communication source. Since the LEDs are also used for illumination, the cross-section emission effects of the LEDs need to be analyzed as they apply to indoor VLC channels. In order to evaluate the illumination and communication performance according to the emission cross-section pattern, a simple LED model with a quasi-elliptic emission cross-section is proposed and compared to a circular LED model. The LEDs with a quasi-elliptic emission cross-section provide less fluctuation in the illumination and optical power distribution at the receiving plane. The four-transmitter VLC system is found to support at least at 30 and 33 Mb/s for circular and quasi-elliptic emission cross-section LEDs for the entire receiving plane, respectively.
Second-Order Two-Scale Finite Element Method for Piezoelectric Problem in Composite Plate
Authors: Wang Zi Qiang , Cao Jun Ying
Published: August 2014

In this paper, we construct a second-order two-scale (SOTS) finite element method for piezoelectric problem in composite plate with 3-D periodic configuration by means of construction way. Based on the Reissner-Mindlin deformation pattern and integral projection operator of electric field, the homogenization solution of piezoelectric problem is obtained based on finite element method. The SOTS's computational method is constructed by SOTS's asymptotic expansion. A set of numerical results are demonstrated for predicting the displacement and temperature of composite plate. It shows that SOTS's finite element method can capture the 3-D local behaviors caused by 3-D micro-structures well.
An ABC Supported Heterogeneous Access Networks Selection Mechanism
Authors: Wang Ren Zheng , Wang Xing Wei , Huang Min
Published: August 2014

The popularity of mobile communications and coexistence of heterogeneous access networks make it possible that the person can achieve the communication business with little restrict, which requires the support of ABC (always best connected) and the guarantee of users’ QoS requirement. For the property that the network status and users’ QoS requirements are difficult to get, this paper proposes an ABC supported heterogeneous access networks selection mechanism based on the particle swarm optimization based on adaptive diffusion and hybrid mutation in view of users’ preference, users’ cost and network providers’ income. The simulation result shows that this mechanism can not only satisfy the users’ requirements, but also maximizes the utility of both sides.
Simulation of the Effecion of Inlet Flow on Precursor Distribution
Authors: Peng Dong Sheng , Chen Zhi Gang , Tan Cong Cong
Published: August 2014

A mathematical model for the growth of gallium nitride in a vertical impinging metalorganic chemical vapor deposition (MOCVD) reactor is developed. The dependence of the GaN film and the uniformity of the deposited layers on the inlet flow is investigated. Based on the simulation results, the uniformity of the precursor distribution is better, with the increasment of the inlet flow, so the quality of GaN film is superior.
A Method for Tracking Dim Target Using Particle Filter
Authors: Quan Hong Wei , Li Jun Hua , Huang Da Yu
Published: August 2014

Traditional methods encountered two serious problems in tracking dim targets. One is the nonlinearity of the system model, and other is the low SNR of measurement signals. The two problems are hardly solved simultaneously in practical engineering applications. The particle filter is a recursive numerical technique which uses random sampling to approximate the optimal evaluation to target tracking problems. In this paper, we developed a method for tracking dim target using particle filter. Simulation results showed that the tracking performance of this method has greatly improved compared with classical extended Kalman filter and unscented Kalman filter.
Research on Longitudinal Aerodynamics Modeling Method for Aircraft Stall Based on Wavelet Neural Network from Flight Data
Authors: Gan Xu Sheng , Gao Hai Long
Published: August 2014

For the aerodynamic modeling problem from measured flight data for aircraft stall, a WNN aerodynamic modeling method is proposed. According to the aerodynamic modeling flow from flight data for aircraft stall, WNN is introduced to establish the aerodynamic model of aircraft for stall phenomenon. Experiment shows that the method can improve the modeling ability of WNN, and is suitable for actual aerodynamic modeling for aircraft stall.
Improved Wavelet Threshold Denoising Method
Authors: Cui Wei Ping , Du Li Juan
Published: August 2014

In this paper, through comparison and analysis of various wavelet denoising methods, a new threshold function is constructed, and the selection of threshold is improved. Signal denoising simulation is made by the software MATLAB, the results show that the improved method is superior to the traditional method, and obtain a better denoising effect.
Task Scheduling in Cloud Computing with Improved Firefly Algorithm
Authors: Zhao Li Feng , Zhou Sheng Han , Chang Wen Bing
Published: August 2014

The paper improved a task scheduling in cloud computing based on intelligence firefly algorithm. Firstly, the study finds the better solution of cloud computing task scheduling with intelligence firefly algorithm. Then the better solution was turned into the improved firefly algorithm to find the global optimal solution through improved firefly information communications. The Experimental Analysis result suggest the improved algorithm can preferably allocate the resources in cloud computing model, the effect of prediction model time is more close to actual time, can efficiently limit the possibility of falling into local convergence, the optimal solution time of objective function value is shorten.
Research and Development on YCD4B54 Series Diesel Engine
Authors: Tan Ke Cheng , Xu Guan Neng
Published: August 2014

To the YCD4B54 diesel engine design and development process, the key techniques and problems should focus on the design and development of YCD4B54 diesel engine, which will provide the beneficial reference for the other similar products design and development.
Research on Reconfigurable Network Model with Finite State Analysis
Authors: Zhou Sheng Han , Chang Wen Bing
Published: August 2014

The paper aims to develop an updated network system reconfigurable model based on the Finite State Automation. Firstly, the paper reviews the concept of reconfigurable network systems and reveals its robustness, evolution and the basic attributes of survivability.Then the system robust behavior, evolution behavior and survival behavior are described with a hierarchical model. Secondly, the study builds the quantitative reconfigurable metric with network topology reconfigurable measurement example. Finally, the result of experiments shows that the proposed reconfigurable quantitative indicator of reconfigurable resistance model suggests that the network is an efficient reconfigurable network topology, which can effectively adapt the dynamic changes in the environment.
Signal Attenuation and Compensation Model in Long-Distance Communication
Authors: Shu Na
Published: August 2014

The communication signal attenuation compensation method for long distance communication is studied in this paper in order to improve the accuracy of the signal transmission. In long-distance communication, due to the shock pulse signal attenuation, the accuracy of signal is reduced. The use of auto-regressive integrated moving control method of error compensation can solve this problem. In the process of communication, the cumulative attenuation rate of communications network is used to establish auto-regressive integrated moving control model to achieve cumulative error compensation. The experiment results show that compensating the total amount of cumulative attenuation of signal in long-distance communication can reduce the attenuating property of communication network and achieve the requirements of communication.
Optimization Method of Massive Data Query
Authors: Chen Yu Ming
Published: August 2014

Optimization method ofmassive dataquery is researched in this paper.In the modernInternet environment,the datahas the characteristics oflarge amount of information, complexity, disorder, andchaosassociation. Using traditionalqueried methodsoftenrequirea lot oflimitedconditions, witha lot of drawbacks such as time-consuming data query, moreineffective queryand low efficiency.To this end, anoptimizationmethod of massive data query based onparallel Apriori algorithm is proposed in this paper.The massive dataare made simplification processing andredundant data are deleted to providedata foundation for fast and accuratedataquery.Effectiveassociation rulesof the massive data are calculated, in order to obtain the relevantof the target data. Based onAprioriparallel algorithm,massivedata are processedto achieveaccurate query. Experimental results show thatthe use ofoptimization algorithm for massive dataquerycan improvethe query speedof target data and it has a strong superiority.
Image Copyright Protection Watermark Algorithm Based on Spread Spectrum Technology
Authors: Wei Chang Bao
Published: August 2014

With the application of digital watermarking based on spread spectrum communication technology and the difficult control characteristics of watermark load intensity and invisibility, this paper considers the best compromise between watermark robustness and invisibility factors, and puts forward a digital watermarking algorithm using spread spectrum communication technology. By ultimate strength loading watermark test, the algorithm is verified to have good robustness.
Chinese library classification number: TP391 literature identifier: A
Analysis on Control Adjustment Model of Exercise Load Based on Computer Optimization Algorithm
Authors: Fu Ling Rong
Published: August 2014

Social commonweal work is a traditional virtue in China, which is also an important aspect of building a socialist harmonious society. With the continuous development of social economy and the accumulation of personal wealth, the emergence of a number of rich public consciences of organizations and individuals in society has held a wide variety of public activities to do publicity for the protection of animals and environment, etc. Although these activities are the public welfare, without fierce competition, but the exercise load exists. How to guarantee the exercise amount to adapt to different age groups, there is almost no any research. This paper firstly discusses the computer optimization technology. And then it constructs the computer optimization control model of exercise load in public welfare activities. At last, it carries out computer simulation analysis on the model. The results show that the introduction of the optimization model is conducive to control the exercise load in public welfare activities, so as to formulate a reasonable plan of public welfare activities.
Application of Grey Least Square Support Vector Machine in New Equipment Materiel Demand Prediction
Authors: Yu Shuang Shuang , Wang Tie Ning , Li Ning
Published: August 2014

Due to the short investment time of the new equipment, the materiel consumption and maintenance data is not much. As a result, its demand prediction belongs to the prediction of small sample data. Since general demand prediction methods are difficult to predict the materiel demand of new equipment, an applicable and efficient prediction method should be explored to solve the problem. Therefore, combining grey prediction theory and least square support vector machine and operating accumulative generation on the original data sequence to extract its deep law characteristic, the new equipment materiel demand prediction model based on Grey Least Square Support Vector Machine (GLSSVM) was established, and the model's parameters was optimized by SIWPSO. Finally an example was set using Neural Network, traditional LSVSM and GLSSVM to predict the materiel demand of new equipment X to verify the accuracy and effectiveness of GLSSVM. The result shows that the prediction precision of GLSSVM is superior to the other two methods.
Field Distribution Adjacent to Apertures Located on Infinite Plates
Authors: Xiong Run , Chen Bin , Wang Zheng Jun
Published: August 2014

In this paper, electromagnetic field distribution adjacent to the aperture is analyzed to help deducing the coupling principle of apertures. The aperture is located on an infinite plate to avoid the effect of other structures. Taking advantage of high-resolution standard finite-difference time-domain (FDTD) simulation, it is possible to observe the electromagnetic field distribution adjacent to the aperture. From analyses, it can be seen that the electromagnetic field component is dramatically varied adjacent to the aperture, and conclusions drawn here is helpful to deduce the coupling principle of apertures.
The Analysis of Enterprise Network Security Problems
Authors: Wang Li Hui
Published: August 2014

This paper analyses the security risks of the internal and external enterprise computer network, points out that the internal internet security of enterprise should focus on prevention which includes a variety of network security technology and the establishment of logging and review system. This paper also discusses the main technology of external internet security prevention such as firewall technology and encryption technology and so on and provides some suggestions about risk management and network security for some small and medium enterprises.
An Improved Functional Dependency Network Model for SoS Operability Analysis
Authors: Zhang Wang Xun , Wang Yue , Li Qun
Published: August 2014

There are often complex dependency relationships between systems in a system of systems (SoS), which present great challenges for SoS operability analysis. Functional Dependency Network Analysis offers the capability to evaluate the effect of both topology and of the possible degraded functioning of one or more systems on the operability of each node in the SoS. But there are some insufficiencies in the method, so here we give exact definition to self-effectiveness, which includes absolute self-effectiveness and relative self-effectiveness. Then according to the new definitions we show the detail calculation equations. Finally we we take the application of Guariniello and DeLaurentis’s five-node aerospace network for example, and compare the results with theirs. Comparative results show that their results are larger than the exact outcome, and our version give the authentic outcomes.
Three-Dimensional Finite-Difference Time-Domain Method Modeling of Nanowire Optical Probe
Authors: Zhu Chun Li , Li Jing
Published: August 2014

In this paper, output near fields of nanowires with different optical and structure configurations are calculated by using the three-dimensional finite-difference time-domain (3D FDTD) method. Then a nanowire with suitable near field distribution is chosen as the probe for scanning dielectric and metal nanogratings. Scanning results show that the resolution in near-field imaging of dielectric nanogratings can be as low as 80nm, and the imaging results are greatly influenced by the polarization direction of the incident light. Compared with dielectric nanogratings, metal nanogratings have significantly enhanced resolutions when the arrangement of gratings is perpendicular to the polarization direction of the incident light due to the enhancement effect of the localized surface plasmons (SPs). Results presented here could offer valuable references for practical applications in near-field imaging with nanowires as optical probes.
An Evaluation Model Based on Rough Sets
Authors: Liu Yong Sheng , Zhang Zan
Published: August 2014

In multiattribute decision making, it is critical to indentify the importance degree of attributes before the overall assessment of the alternatives. In this paper, we give a measurement of importance degree of attributes based on knowledge discovery in the decision information system, which satisfies the conditions of fuzzy measure. Further, we construct an evaluation model combined Choquet integral with the importance degree measure. The case study illustrates the validity and the effectiveness of the method.
Fourth-Order Cumulants Beamforming for Direction of Arrival Estimation
Authors: Li Ting Ting
Published: August 2014

With the rapid development of DOA (direction-of-arrival) estimation methods, the existing beamforming technologies still have the problem of a way to balance high spatial resolution and robust performance. The aperture extension characteristics of fourth-order cumulants is used to raise the spatial resolution of the array in this paper. By using the structure of minimum redundancy array, the calculation of the fourth-order cumulants matrix can be reduced. Simulations of the properties of fourth–order cumulants beamforming method are analyzed in this paper, including the resolution analysis, multi-sources analysis and error analysis. Simulation results show that the fourth-order cumulants beamforming method has a higher spatial resolution than the conventional beamforming method without increasing the number of the array sensors.
Study of Information Security System Architecture in Cloud Computing Environment
Authors: Feng Li Dan
Published: August 2014

Cloud computing is the emerging industry that develops rapidly at present, with extensive development prospect; however, the challenge to security technology that it faces is unprecedented. In this paper, the author analyzed the technical characteristics of cloud computing and the security problem at present, put forward the idea to establish the information security system architecture of vertical stratification and horizontal integration from the multiple perspectives of security technology, security management specification and safety laws & regulations, etc..
GSM-R Communication Experiment Platform
Authors: Wan Shao Yun
Published: August 2014

This paper will introduce the general situation of railway communication, expound the necessity of railway GSM-R communication experiment platform construction, analyze the significance and role of practice teaching, especially the content of construction and project are described.
Image De-Noising Method Based on Multi-Wavelet Analysis
Authors: Feng Fei , Jia Xin Jian , Bo Sheng Wei , Lu Zhao Yang
Published: August 2014

Aiming at the limitations of traditional wavelet de-noising, multi-wavelet can possess symmetry, orthogonality, short support and high order vanish moments. However traditional single wavelet cannot possess all these properties at the same time. Analyze the principles of multi-wavelet method and the algorithm for image de-noising. The results prove that, multi-wavelet prior knowledge requirements for image signal is low, the suppression of noise interference at the same time. But it can preserve a more complete the useful signal.
Aircraft Conflict Risk Assessment Based on Particle Filter
Authors: Zhai Wen Peng , Wu Hao , Ma Lan
Published: August 2014

Free flight is a method to resolve airspace congestion problem, but raise safety problem. In this paper, with the influence of wind and the presence of positioning error, the model of conflict detection based on particle filter algorithm is presented. According to the flight kinematic model with the influence of random factors, the target trajectory is generated. The particle filter algorithm is used for estimating the real flight trajectory. The flight collision risk probability is calculated. By simulation calculation, the conflict detection with particle filter algorism improves the accuracy of collision risk probability estimation. The results show that the particle filter conflict detection algorithm reduces the estimation and conflict detection error caused by random perturbation. The method can be applied to identify conflict in the early stage in the study of flight free flight.
Modeling of Warehouse System with RFID Based on Petri Net
Authors: Li Teng
Published: August 2014

Technology of RFID has been widely used in modern warehouse system, with which systems’ working efficiency was improved and error rate was reduced. This paper is aimed at providing a new warehouse operation procedure which take technology of RFID into concern. The new warehouse operation procedure is implemented using the Petri net method which is suitable to the needs of the system being a discrete event dynamical system.
Analysis of Information Propagation Mechanism Based on Hierarchical Temporal Memory
Authors: Xiao Hai Dong , Chen Ning
Published: August 2014

This paper proposes to develop method for disruption mechanism analysis of supply chain systems against information propagate fluctuation, information distortion and non recurrent disasters,with an objective of achieving recognition of supply chain disruption mechanism and control efficiency. Disruption knowledge structure preferences will be modeled and evaluated under different types of supply chain scenarios. A hierarchical temporal memory modeling framework incorporating various measures is established, which can be used to better understand the effects of disruption preferences on supply chain planning, and to find a robust solution against disruption scenarios. Simulation includes supply chain disruption management using past disruption scenario of individual phases data will be carried out for HTM training and testing analysis of model parameters. A key feature of this proposed research distinguishing itself from most existing studies is the integration of hierarchical temporal memory technology and the disruption management of the entire supply chain.
Analysis of Center Detonation Characteristics of Water Mist
Authors: Chen Yu Kun , Wang Ke Yin , Huang Hai Ying , Zhao Pai Hang
Published: August 2014

This paper analyzed the formula for calculating the velocity and scatter radius of water mist droplets after detonation. Through establishing model, calculating by the formula and simulation of theoretical model, the reasons of deviation between calculation and simulation results were found out. In order to make theoretical calculation more accurate and applicable, new formula was created by introducing correction factors.
The Design and Application of Telecommunication Network Resources Abstract Model
Authors: Shi Tao , Zhang Peng , Cheng Fang
Published: August 2014

Model
Tao Shi ,Peng Zhang and Fang Cheng
School of Chongqing University of Posts and Telecommunications, Chongqing 400065, China
shitao12300@163.com
Keywords: telecommunications network resources, resource model, object-oriented, virtualization technology, network management system
Abstract. In order to manage and utilize telecommunication network resources more effectively, aiming at the shortage of the resource management of telecom network management system, through the study the concept of the shared information data (SID) model in the new generation of telecom operation support system (NGOSS) , according to the characteristics of the telecommunications network resources, telecommunications network resource model with object-oriented approach is proposed and designed. Meanwhile, Combined with telecommunication network business resource model to illustrate the mechanism of telecom network resource by users applications in network management system. Experiments have proved that resource model can provide powerful support for complex network management.
Research of Requirement Analysis about Middleware in the Business Environment of Web of Things
Authors: Zhang Rui , Cheng Fang
Published: August 2014

Since the morphology, performance and functionality of the terminal of each WoT system are not the same, it would have a great impact on the general design of middleware and specific functions. This article polymerized common technologies of middleware and defined a common set of requirements. Thus it improved the ability of each heterogeneous device in the network, reduced the cost of application development, and improved the development efficiency.
A Kind of Method of Socket Programming Combining MATLAB and VB Based on COM Component
Authors: Wang Bing Yan , Guo Man Jie
Published: August 2014

This paper proposes a kind of method of socket programming combining matlab and VB based on COM component aimed at socket programming. An example has been illustrated to declare the application of this method. It shows user-friendly graphics interface applied in VB, and graphic display in matlab.
Research on the Chinese Word Segmentation System Based on Incremental Learning
Authors: Mai Fan Jin , Wu Shi Tong , Wang Lai Yue
Published: August 2014

In order to cope with the increasing size of the training corpus and adapt to the requirements of incremental learning, this paper introduces a feature selection algorithm of maximum entropy model into the research of Chinese word segmentation technology, designs and implements a Chinese word segmentation system based on incremental learning. The experimental results show that the system gradually improves the segmentation accuracy in the incremental learning process which without wasting time to restudy.
Application of Variable Step Size LMS Algorithm in Multiple Access Interference Cancellation
Authors: Zou Hui Zhi
Published: August 2014

MAI influence, using a low computational complexity variable step size LMS algorithm based on the traditional algorithm to find the optimal weight on, and make estimates for the magnitude, thereby offsetting the presence of MAI and estimates for spread spectrum communication system struck a balance between the consideration to be paid for MAI. The improved algorithm reduces the computational complexity of each level, the simulation results also show that the method has better performance.
A New Color Image Encryption Scheme Based on Chaos
Authors: Zhao Huai Xun , Cheng Peng , Han Jun Hao
Published: August 2014

This letter presents a new color image encryption scheme based on the coupled chaos maps. First, the algorithm uses the coupled logistic map to generate random strong key stream, and then designed a kind of initial simple diffusion-joint scrambling-combined diffusion method from the point of the relationships of components R, G, B. The simulation results indicate that this algorithm has stronger security compared with the independent encryption of each color component.
Maximum Likelihood Method for Parameter Estimation of Weibull Distribution Model Based on Fruit Fly Optimization Algorithm
Authors: Meng Xiang Ping , Zhao Chuan Qi , Huo Lei
Published: August 2014

It is difficult to estimate the parameters of Weibull distribution model using Maximum Likelihood Estimation based on Ant Colony Algorithm (ACA) or Particle Swarm Optimization theory (PSO) for which is easy to fall into premature and needs more variables, thus Fruit Fly Optimization Algorithm (FOA) theory is introduced into maximum likelihood estimation, and a parameter estimation method based on FOA theory is proposed, an example has been simulated to verify the feasibility and effectiveness of this method by comparing with ACA and PSO.
A Study on the Image Classification Techniques Based on Wavelet Artificial Neural Network Algorithm
Authors: Ding Xue , Yang Hong Hong
Published: August 2014

With the ever-changing education information technology, it is a big problem for the universities and college that how to classify the thousands of copies of the image during the art examination marking process. This paper is to explore the application of artificial intelligence techniques, and to do accurate classification of a large number of images within a limited time and under the help of computer. It is can be seen that the proposed method is feasible through the application of the results of the actual work.
Artificial neural network training
Artificial neural network training methods have two mainly style, which are Incremental Training and Batch Training, and take the amount of different network training mission as the distinction standard. First, to introduce the Incremental Training [1], that means whenever the network receives the input vector and target vector, it have to adjust once the connection weights and thresholds. It is an online learning method. The other one is Batch Training [2], that means no longer adjust the connection and immediately, but perform bulk adjustment, and after a given volume of the input vector and target vector. Both training methods can be applied, whether it is static or dynamic neural network. Different results will be obtained by artificial neural network for the use of different training methods.
When using artificial neural networks to solve specific problems, learning methods, training methods and artificial neural network function should be selected according to the expected results of question type and its specific requirements [3-4].
The selection of parameters of wavelet neural networks and adaptive learning
Flow Structure Transition inside Contra-Rotating Disk Cavity
Authors: Chen Shu Xian , Shi Xue Jie , Tan Xiao Ming
Published: August 2014

The turbulent flow inside contra-rotating disk cavity was numerically studied based on the finite volume method. The flow structure and its transition characteristics inside a contra-rotating were studied. The flow structure varies with the angular velocity ratio Γ of the slower disk to that of the faster one. For Γ=-1, the Stewartson-type flow occurs throughout the domain. For Γ=0, the Batchelor-type flow occurs throughout the flow region. The stagnation streamlines originating from the stagnation point are formed for-1<Γ<0, and batchelor-type flow occurs radially outward of the stagnation point with Stewartson-type flow radially inward. The stagnation point moves radially outward as Γ is reduced.
Association Rules Optimization Algorithm Based on Fuzzy Clustering
Authors: Fu Yu , Yang Jun Rui
Published: August 2014

Frequent pattern mining has been an important research direction in association rules. This paper use a methodology by preprocessing the original dataset using fuzzy clustering which can mapped quantitative datasets into linguistic datasets. Then we propose a algorithm based on fuzzy frequent pattern tree for extracting fuzzy frequent itemset from mapped linguistic datasets. Experimental results show that our algorithm is shorter than the F-Apriori on computing time to huge database. For large database, the algorithm presented in this paper is proved to have a good prospect.
Hot Spots Tracing on Internet Finance in China
Authors: Zong Ze , Zhu Lei
Published: August 2014

This paper collects the Internet data of 2013 related with Internet finance from several websites,and identifies key words by ICTCLAS,then analyses the co-word network by Bicomb based on key words co-occurrence.By the help of factor and cluster analysis, it studies the relationship between the key words then tracks the hot spots of Internet finace on the Internet.The analysis shows mobile payment,supervision,risk control and P2P network loan are focused in Internet finance field,Mobile payment,supervision,risk management become the hotspots at present.
Applied Research of Single Sign on Technology in Cloud Services
Authors: Li Wei , Zhu Yuan Bo , Zou Ming
Published: August 2014

Industrial cloud service platform launched a series of industrial services based on cloud computing for middle and small-sized enterprises. These services include CAD, CAE and other software services utilized on industrial design and manufacturing. Due to integrating various application systems, an efficient authentication technology was urgent required to realize the exchange and sharing of the identity information in the platform. Based on analysis and compare of various mainstream Single Sign-On (SSO) technologies, this paper proposed an SSO solution by using Central Authentication Service (CAS) protocol. Proposed system makes it easy and convenient to deal with login authentication and gain identity information of the whole platform. In addition, proposed system significantly improves the user experience.
Study of Bluetooth Image Printing Technology Based on Android Phone
Authors: Zhang Zhi Yuan , You Xiang Dong , Zou Xiao Jia , Wang Xiao Lei
Published: August 2014

This paper studied the principle of Bluetooth image printing technique. Based on the ESC/POS command, the function of image printing via android Bluetooth application was established and a practicable APP software was developed. The APP can link to the micro printer via Bluetooth by using Bitmap class, Canvas class to convert the selected image, including transformation, zooming, saving and finally generate a printable binary string streams based on the pixel, and send it to micro printer to print it.
The Reduction of a Type of Singular Partial Differential Equations
Authors: Li Ping Li , Sun Tian Tian
Published: August 2014

Using the theory with respect to the existence of holomorphic solutions to a singular ordinary differential equation in the complex domain, this paper shows how to constructs biholomorphic trans-formations in different cases to reduce partial differential equations with singularity at the origin to more simple forms.
Research on Brain Drain of Energy Environmental Protection Enterprises Based on Evolutionary Game Model
Authors: Zhang Rui , Dong Shi Long
Published: August 2014

Due to the special nature of energy environmental protection industry, staff loss is very common in energy environmental protection enterprises, especially in the middle-high level class. Through building evolutionary game model based on the problem of employee turnover between employees and enterprises, we find out that the reason of the flow of talents in energy environmental protection enterprises is that the payment and promotion prospects after resign is better than before. In order to prevent the excessive flow of the talents, energy environmental protection enterprises should moderately improve the remuneration of its staffs, develop employees' promotion space and improve the breach penalty of those initiative employees.
Descending Dimension Algorithm for Association Rules Based on SQL Calculation
Authors: Chi Qing Yun , Hao Zhen , Jiang Xiu Ying
Published: August 2014

Apriori algorithm is a classical algorithm for association rules mining. But the algorithm must be connect repeatly and operate steps layer by layer to find frequent item sets. To overcome the shortcomings of Apriori algorithm, relational database language SQL is used proceed from the higher-order item sets and compute the support of item set to find frequent item sets in this paper. The solution process eliminates a large number of duplicate items produced by the connection from low-dimensional to high-dimensional in the traditional process. The calculation is simplified and efficiency improved.
User Interface Design and Implementation for Electricity Operation Information System Based on Android
Authors: Zou Xiao Jia , You Xiang Dong , Pan Hao , Zhang Xu , Luo Qian
Published: August 2014

In this paper, we mainly explore how to design and implement the user interfaces of Electricity Operation Information System based on Android. The paper extends its process as the following four aspects---requirements analysis, UI design, interaction design and programmatic implementation. In response to user actions fluidly and friendly, we add modules to handle exceptions. In the end, we give a briefly test on the system UI to ensure it run smoothly and make less mistakes. There are limited studies focusing on the flow design of UI combined with programmatic implementation. The UI design and implementation methodology has good reference at the early stage of developing an application, especially on Android platforms.
A Layer Segmentation Based Compression Algorithm
Authors: Li Tao , Tian Xin , Tian Jin Wen
Published: August 2014

In this paper, we proposed a layer segmentation based compression algorithm for gray images. Image textures and some high frequency noise are described in a high frequency layer while the coarse part of the image is included in the low frequency layer. A mixed dictionary and sparse coding is applied for high frequency layer coding and the low frequency layer is coded using the traditional wavelets based coding system. The results show that the proposed scheme achieves better rate-distortion performance compared with several competing compression system. Furthermore, in the sparse coding part, some edge-related atoms are added in the dictionary and a high sparseness factor is set for the edge blocks, making more accurate approximations for edges. We avoid further degradation of edges caused by compression.
Phase Analyse of Non-Vortical and Vortical Beams in Fractional Fourier Transform System
Authors: Dai Zhi Ping , Yang Zhen Jun
Published: August 2014

The phase of vortical beams is very different from that of non-vortical beams. The phase of non-vortical and vortical beams in fractional Fourier transform system is investigated by selecting different parameters of the anomalous vortical beam. It is found that although the intensity distribution is similar except nearby the Fourier transform plane for the non-vortical and the vortical beams, the phase distribution is very different even the beam parameters are the same except the topological charge. The different phases bring different intensity distributions especially at the Fourier transform plane, i.e the center of non-vortical beams is a very strong intensity peaks, however the center of vortical beams is a dark region.
Simulation on Eliminating Interference in Long-Distance Communication
Authors: Mei Rong Fang , Cai Bai Chuan , Mei Jian Guo , Li Xiu Ying
Published: August 2014

Due to wide frequency band, the long-distance communication is prone to be jammed by traditional radios. Furthermore, severe interference will lead to serious deterioration of performance. To solve this problem, the paper proposes energy-balance interference eliminated method and mixed communication algorithm, namely interference cancellation system model. The system elects a cluster head by utilizing the residual energy of nodes and the distance between cluster heads to balance the energy consumption and maximum the life cycle of the network. A Boolean vector corresponding to a random number defined is applied to this interference cancellation system. Experimental results show that under the premise of accurate channel estimation, systems using this technology to eliminate external interference in long-distance communication system have practical significance.
High Altitude Platform-Based Communication System under LDPC Coding in DVB-S2 Standard
Authors: Zheng Jian Yun , Ji Kai , Zhu Yi Sheng
Published: August 2014

The statistical model is used for analyzing the characteristic of the HAP-based communication channel, the structure and algorithm of LDPC encoding and decoding in DVB-S2 are studied, the LDPC BICM system over the HAP-based communication channel are established. Numerical results show the effects of different code length and coderate under different modulation methods.
An Effective Damage Evaluation Method for Crane Girder Based on SVI and LSSVM
Authors: Xu Hong Bo , Li Jia Yu
Published: August 2014

Health assessment of the girder is crucial to an overhead traveling crane. This paper presents an intelligent damage identification method for the girder based on stiffness variation index (SVI) and least squares support vector machine (LSSVM). In the method, the SVI indicators, which have high resolution to environmental noise, serve as the damage feature to detect damage locations. Moreover, the SVI indicators are input to the LSSVM classifier for identifying the actual damage level of the girder. A case study on girder damage identification demonstrates that the method could determine the actual conditions of the girder structure accurately.
GPU-Based Acceleration for FDTD Method of Acoustic Field Analysis
Authors: Yang Ze Rui , Yang Jie
Published: August 2014

The finite difference time domain (FDTD) method is a numerical technique used in time-domain acoustic simulation. However, the huge computing capacity has been an important limiting factor for its applications. In this paper, we will present a graphics processing units (GPU) - based parallel FDTD framework and its successful application to the estimation of time-series sound pressure data. Compared with the computer, the runtime of acoustic field FDTD simulation on GPU is dramatically decreased. The acceleration in runtime has made such study possible, and will pave the way for other studies of large-scale computational acoustic problems which were previously impractical.
The Application of Genetic Algorithm on Target Extraction of Step Frequency Radar
Authors: Hu Peng , Song Xiao Quan
Published: August 2014

The step frequency radar is a wideband and high resolution system, which is widely used in target positioning and tracking. The echo signal model of step frequency radar consists of complex sine functions with different frequencies. The maximum likelihood function of multiple frequency components is deduced based on the model. The frequencies are calculated by Genetic Algorithm and the one dimension scattering centers are extracted.
A Protocol of ISA-MAC Using FH-TH Associat with Concatenated Coding
Authors: Wang Wei Quan , Song Zu Xun , Mao Xiao Fei
Published: August 2014

Nowadays, there are so many requirements for time-sensitive in designing Ad Hoc network. However, the existing protocols of MAC, such as ALOHA、CSMA、IEEE802.11 etc. which use the “back-off” to avoid collision, or use the “hand shaking” to order the channel bring the time-delay to MAC. The paper promote a MAC protocol named ISA-MAC which adopts FH-TH combine concatenated coding to relieve channel-collision, improve the efficiency of communication and provide the ability “sending at anytime”.
Parallel Solution of Magnetotelluric Occam Inversion Algorithm Based on Hybrid MPI/OpenMP Model
Authors: Liu Yu , Xiao Yi
Published: August 2014

In order to improve the efficiency of magnetotelluric Occam inversion algorithm (MT Occam), a parallel algorithm is implemented on a hybrid MPI/OpenMP parallel programming model to increase its convergence speed and to decrease the operation time. MT Occam is partitioned to map the task on the parallel model. The parallel algorithm implements the coarse-grained parallelism between computation nodes and fine-grained parallelism between cores within each node. By analyzing the data dependency, the computing tasks are accurately partitioned so as to reduce transmission time. The experimental results show that with the increase of model scale, higher speedup can be obtained. The high efficiency of the parallel partitioning strategy of the model can improve the scalability of the parallel algorithm.
Application of MATLAB Parallel Programming Technology
Authors: Chi Song
Published: August 2014

The parallel application program development technology and process is analyzed based on the MATLAB parallel and distributed computing toolbox. Hereby, the comparison of the serial computing and the parallel computing is done by computer simulations, and the parallel computing program design and develop method is proposed. The simulations results show that, the parallel computing technology has many advantages in the calculation of high intensive and it is convenience of the parallel application development using MATLAB.
Slamming Strength Assessment Analysis of Large Container Ship
Authors: Wang Chun Hui , Han Feng Lei , Hu An Kang , Liu Ya Chong
Published: August 2014

The analysis of slamming effect has been mainly discussed about the local strength assessment and the global longitudinal strength assessment under slamming loads. The former is to forecast the local design pressure and access the local structural strength. To achieve the strength assessment of local structure of the ship bow, the slamming design pressure results of bow bottom and bow flare areas have been selected, so as to show the calculation results of relative velocity extreme values and design slamming pressure. And then according to the slamming loads and strength assessment, the direct strength assessments have been used to check key areas. The latter is to forecast the global vertical design moment and access the global longitudinal strength through three dimension finite model.
Interactive Design Method of Human-Machine and User Research on the Vehical
Authors: Zhong Tao , Fang Hai
Published: August 2014

In order to improve the performance of automobile of human-computer interaction,auto human-computer interaction intelligent and efficient to realize wireless communication and cloud computing server terminal, a combination of the three. The vehicle terminal using the embedded software and hardware design methods to achieve, cloud computing server based on cloud computing data interaction design methods, and finally meets the user interactive eight requirements, improve the user's comfort and safety.