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Paper-cut animation is rooted in Chinese folk culture, which is an important constituent part of Chinese animation. This article has analyzed the own artistic charm of paper-cut animation, from the early traditional manufacturing method and its insufficiencies as well as the questions we faced, to details of the new manufacturing method after the application of modern computer technology to the paper-cut animation. Also the article emphasizes the introduction of manufacturing advantages after the computer technology applied to the paper-cut animation, as well as discussions on application value of paper-cut animation in business and service domains, etc.

It is an important factor that the paper tension for web press printing and roll paper manufacture. Especially commerce web press is the more important. The commerce web press has not only the first tension control, but also the second tension control. The second tension control would control tension wave restrict accurate bound. The simulation method was discussed about paper tape tension the second tension control on some problems of high speed Web press controlling system in actual adjustment course, and different respond graph was obtained on the different controlling parameter by MATLAB and controlling system capability target. Intuitionistic and exact foundation was offered for system analysis, comparison and choice arithmetic, which benefits the further research.

For the family embarrassment and annoyance brought by the replacement of slippers when someone pays a visit, a cutting paper tape machine for sole coating was designed. Based on the detailed calculation and preliminary drafted general design scheme, the electric motor was chosen, the transmission ratio was distributed reasonably, the structural style and related parameters of worm gear were designed, and the stress strength was checked. Based on these, the three-dimensional model was established, through simply simulation, the scheme was verified and improved, and the parametric design was realized. Thus, one kind of convenient and practical cutting paper tape machine for sole coating is provided for families and high-grade places, which is greatly convenient to visitors.

This paper presents methods of cushioning package design. The analysis of existing shortcoming is made when the maximum accelerationstatic stress curve (what is called curve) is applied to the cushion package design, at the same time ,the principle and method steps to get curve are briefly introduced when the stressenergy method is used .the function between the key parameters of cushioning package design is acquired by the stressenergy method .By comparing the data produced with matlab software with the real experimental ones in some paper, the possibilities to get curve of casual drop height and cushion thickness by one-time experiment to get curve with stress-energy method is demonstrated. Based on the function of key parameters of cushioning package acquired, the reversed cushioning package design method is carried out.

An efficient currency recognition system is vital for the automation in many sectors such as vending machine, rail way ticket counter, banking system, shopping mall, currency exchange service etc. The paper currency recognition is significant for a number of reasons. a) They become old early than coins; b) The possibility of joining broken currency is greater than that of coin currency; c) Coin currency is restricted to smaller range. This paper discusses a technique for paper currency recognition. Three characteristics of paper currencies are considered here including size, color and texture. By using image histogram, plenitude of different colors in a paper currency is calculated and compared with the one in the reference paper currency. The Markov chain concept has been considered to model texture of the paper currencies as a random process. The method discussed in this paper can be used for recognizing paper currencies from different countries. This paper also represents a currency recognition system using ensemble neural network (ENN). The individual neural networks in an ENN are skilled via negative correlation learning. The purpose of using negative correlation learning is to skill the individuals in an ensemble on different parts or portion of input patterns. The obtainable currencies in the market consist of new, old and noisy ones. It is sometime difficult for a system to identify these currencies; therefore a system that uses ENN to identify them is discussed. Ensemble network is much helpful for the categorization of different types of currency. It minimizes the chances of misclassification than a single network and ensemble network with independent training.

The complex nonlinear problem exists between the factors which influence the strength of hybrid fiber reinforced concrete. The nonlinear relationship between input variables as the factors and output variables as the strength can be obtained artificial neural network which have the feature of self-adapting, self-studying and nonlinear mapping. RBF and BP neural network models are established in MATLAB in this paper based on experimental values. Compressive strength and flexural strength of hybrid fiber reinforced concrete are predicted respectively and comparing with the measured values, predicted values are analyzed. The results show that the predicted values based on RBF tally with the experimental values, and the strength prediction ability of RBF is higher than BP neural network. The needs of engineering can be meet by this method with accurate prediction ability, a new method for the study of hybrid fiber reinforced concrete strength is provided.

Tunnel monitoring and measurement is a very important part of the tunnel construction's safety,monitoring technology and information management technology is directly related to the tunnel construction's safety and quality, Although domestic and foreign scholars have done a lot of research on tunnel monitoring measurement technology and information management technology,because of the characteristics of invisibility, uncertainty and variability in tunneling, the level of the monitoring technology and information management are far from construction's requirements.This paper based on ACCESS and GTS, researching and developing automatic warning system of tunnel monitoring,and realizing the information management and early warning forecast of tunnel monitoring measurement data. Engineering practice shows that the system can processing and analyzingthe data fast, convenient and real-time , realize automatic early warning forecast, and provide reliable basis for information construction management of tunneling

With the deepening of the degree of oil exploitation, investigation of geological structure is particularly important, especially those faults that have an important impact on the exploration and development of oil. However, seismic data is affected by various kinds of factors in the progress of data acquisition, which reduces SNR and interfere with the accuracy of geological structure interpretation. This paper based on image processing provides fault enhancement medthod. It can reduce random factors impact and depicte fault more clearly. This method combine anisotropy and orientation information of image, then use generalized Kuwahara filter to enhance fault. This technique has a most important value in seismic fault interpretation.

This paper proposes a novel anytime fuzzy supervisory expert system for online signal processing. We demonstrate via simulations that this system is able to follow slowly varying signals and heal the signal in case of missing input data. In the presence of contaminating noise, the supervisory system performs the automatic wavelet shrinkage procedure selection, which ensures to pick the proper algorithm that is the most efficient in the given scenario. The necessary level of wavelet decomposition is determined online by the fuzzy supervisory expert. The system applies orthogonal wavelet functions in order to reduce significantly the processing time of reconstruction. The paper also shows how the online threshold estimator selection module ensures the highest denoising efficiency by selecting the most suitable algorithm.

As organic transistors are preparing to make improvements towards flexible and low cost electronics applications, the analytical models and simulation methods were demanded to predict the optimized performance and circuit design. In this paper, we investigated the analytical model of an organic transistor device and simulate the output and transfer characteristics of the device using MATLAB tools for different channel length (L) of the organic transistor. In the simulation, the Pool-Frenkel mobility model was used to represent the conductive channel of organic transistor. The different channel length has been simulated with the value of 50 μm, 10 μm and 5 μm. This research paper analyses the performance of organic thin film transistor (TFT) for top contact bottom gate device. From the simulation, drain current of organic transistor was increased as the channel length decreased. Other extraction value such sub-threshold and current on/off ratio is 0.41 V and 21.1 respectively. Thus, the simulation provides significant extraction of information about the behaviour of the organic thin film transistor.

Surge arrester is an effective measure to protect distribution lines from lightning strikes. But high costs will be spent on the maintenance of a great many surge arresters in 10kV distribution line. Taking the relationship between reliability and economical efficiency into consideration, aiming at installation density of surge arrester, this paper established the effective simulation models of direct lightning stroke overvoltage and induced overvoltage by ATP-EMTP. Finally, this paper presented the optimal installation scheme of surge arrester on the basis of the simulation and analysis of the lightning withstand level. The simulation results provide references for the optimal installation scheme of surge arrester on the distribution network.

A framework of comprehensive risk assessment for Electric Cyber-Physical System (ECPS) is proposed in this paper. Risk factors of information system and their impact on the gird are analyzed and the method of obtaining the fault probability considering risk factors from information system is discussed. A comprehensive risk assessment model is presented and related software is developed. Research work in this paper provides a theoretical basis and software framework support to the following system development.

The surface defects is an important factor affecting the quality of hot-rolled round steel, so the recognition of surface defects plays a very important role in the daily usage of the hot-rolled round steel. This paper aims to bring forward an appropriate method to find out the surface defects of the hot-rolled round steel under the help of Matlab software. First of all, the image edge of the round steel was detected, and the image was segmented. Secondly, the segmented image may appear bended, so it would be straightened to make the surface defects recognition easy. The third step is to eliminate image noise. Finally the processed image was analyzed and the appropriate recognition method was figured out. The results show that the method proposed in this paper is effective and accurate.

This paper introduces the principle and design of a solar temperature difference of a complementary power generation device which is used in long distance bus by pictures and words.This paper introduces the principle of power generation, the device design scheme, power application and other aspects in detail. At the same time, this paper shows the actual parameters of the power efficiency of the device, and expounds the application prospect of the device.

Smart Grid value-added service is an important approach to utilize the potential of smart grid infrastructure. The scientific and rational commercial mode of smart grid value-added service can promote smart grid integrated projects from the pilot to comprehensive application. In this paper, the definition and content of smart grid value-added services commercial mode were studied. According to commercial model theory and evaluation methods, based on balanced scorecard theory, evaluation indicator system was established, evaluation model was proposed based on TOPSIS combined with Delphi and AHP (DAHP-TOPSIS). Through the example of PFTTH (Power fiber to the home) project, the analysis results show that the indicator system and the evaluation model proposed in this paper is useful for the selection of appropriate commercial mode and promote the rapid development of smart grid new services.

This paper describes the design of household intelligent cleaning robot, which is an innovative work of collegiate contest. This paper describes the general structure of system, hardware circuit design and software program design. The robot can achieve autonomous movement, garbage cleaning, obstacle avoidance and other functions. It can work in the home, library, exhibition halls and other indoor environment. This design, which is applied to the training of electronic course group, not only cultivates the students' professional interest but also improves the students' engineering practice ability and innovation ability. This design has been successfully used in the electronic course group training of application-oriented universities

E-government is a prerequisite for economic and social informatization. Information required from the various forces of a country, among them, the government as a national composition and the flow of information center "nodes", play a responsibility in the process of social informatization and irreplaceable role. In this paper, the design and construction of e-government system are discussed in this paper. Elaborated the e-government system basic architecture, the paper analyzes the electronic government affairs system overall design.

Space borne high-capacity solid state recorder (SSR) is an inevitable chain of the space scientific data acquirement system. It has become a common device in spacecraft gradually. This paper presents the design and accomplishment of the large capacity SSR design based on NAND flash of the satellite SJ-10. The SSR improves its writing speed significantly by applying multi-pipeline writing technique. External SDRAM is used as the channel cache of the multi-channel data flows to increase the cache capacity and system throughput speed. In addition, the EDAC processing, data flow combining and separating can enhance the stability of the storage system as well as the data efficiently. The implementing of multi-channel has also laid the foundation for file system management of the space borne storage data. The simulation of multi-channel data flow is given in this paper.

This article analyses how to combine the internet of things (IOT) with air pollution monitoring. It believes that application of internet of things can resolve air pollution monitoring problems. What the paper analyzes is how the Internet of Things technology effectively applied to the field of environment protection, to improve management of environment monitoring and protection. This paper mainly introduces concepts and architecture system of IOT used in environment monitoring and protection, through analyzing the problems in environment monitoring and protection in China, on the basis of summarizing the experience of IOT used in the field of environment protection in China, further proposes how to promote the development and application of networking technology in monitoring and protection of the environment in China, and focuses on the difficulties, obstacles and solutions which exist in.

This paper mainly discusses the traffic flow optimization of flight route and the problem of ground delay program. the author introduces the concept, procedure, method and the meaning of air traffic flow management. The author utilizes Eulerian method to build the model of air traffic networks, and solves the problem with adjoint method, then uses it to optimize the flow of the route, The author also builds the model of ground delay program with fair factor, and solves it with particle swarm optimization method. The author also uses the real data to prove the feasibility of the above two methods. Also, the author designs the original system of air traffic flow management, and gives the flow of operation and the output of interface. In the end, the author summarizes the study meaning of the paper and puts forward the opinion of the research of future air traffic flow management.

Based on the mathematical model of permanent magnet synchronous generator, the paper discussed the effect of the simplifying torque coefficient equation on direct-drive permanent magnet synchronous wind power generator. On the basis of feedback linearization principle, designed a PID and feedback linearization compound controller in this paper, and validated under varying wind speed, power coefficient remains at a constant value, which reached the maximum wind power capture purposes. Using MATLAB/simulink tool to build direct-drive permanent magnet synchronous wind power system simulation model, the paper verify the stability of the system when the external applied load mutate. The result shows that the control strategy of the composite is effective and timely when tacking the maximum power.

In view of the mine special environment, with passive millimeter wave imaging technology applied to mine body hidden contraband detection as the background, this paper has design of miner detection system. This paper gives the miner detection system composition block diagram and working process, and design the data acquisition module, give the data acquisition module internal logical structure.

This paper presents heuristic particle swarm optimization (HPSO) with continuous codes representing the batch production on the machine at each stage to enhance the ability of particle to handle constraints. Repair strategy of particle location is also presented in this paper to meet the demand for products and maximum restriction of production capacity. Based on the analysis of characters of optimal solution, all constraints are unified as time window of batch and solving method for resource-constrained project scheduling with time window is put forward. In order to verify the performance of HPSO, this paper uses random example to conduct test. The results show that HPSO is superior to optimization software and standard PSO.

The most important element of the production process is the optimization of the conducted operations. It is particularly important for the lean production process. In the paper is presented the analysis of the optimization approach using the CAE systems, the multi-agents systems (MAS) and the distributed robotics (DR) systems. Using the CAE techniques it is possible to elaborate the virtual environment in which the manufacturing cell is designed. The interaction between the virtual model and the process rule base allow improving the design of the existing standard machining technology. The MAS approach let to create the structure of the manufacturing process, taking into account both the machining stands and transport units according to the elaborate technological process. Finally the utilization of the DR approach for the optimization of transport operations including the heuristic algorithms. Moreover in the paper are presented the results of the investigations of analyzed problem on the base of complex production line for the cylindrical elements. The simulations and other analysis have been conducted in advanced computer systems. Also the basic relation between mentioned systems are discussed.

Combined with the characteristics of the high-speed railway regional environment system, the paper establishes a cumulative environment impact assessment model with the system dynamics in the high-speed railway regional, which is divided into three subsystems: economic, environment and pollution subsystems. Each subsystem is refined into a number of state indexes. The feedback relationships is set up between each state index and various subsystems, based on the Matrix method, Delphi, Analytic Hierarchy Process and environmental carrying capacity to establish comprehensive evaluation model of the cumulative environment impact assessment in the high-speed railway region. Finally the Chang-Yi high-speed railway is taken as an example.This paper is of the important theory and practice significance to promote the cumulative impact assessment level and social environment benefit of the high-speed railway regions.

In this paper, the background of cloud computing technology to study how to optimize cloud computing data center energy efficiency mechanisms. This paper analyzes the DVFS energy saving strategy, virtualization energy saving strategy, turn off / on energy saving strategies, such as the current mainstream strategy, comparing different energy saving strategies have not applied scenes.

Although a great success has been achieved under the environment of lab where the training data is sufficient and the surroundings are quiet, speaker identification (SI) in practical use still remains a challenge because of the complicated environment. To tackle this challenge, a hybrid system of Gaussian mixture model-support vector machines (GMM-SVM) is proposed in this paper. SVM can do well with less data but is computationally expensive while GMM is computationally inexpensive but needs more data to perform adequately. In this paper, SVM and GMM are parallel in both the training and testing phase, the judgment of them are fused to make the final decision: the person with the largest score is identified as the true speaker. Universal background model (UBM) is used in GMM to improve the recognition accuracy. The system is evaluated on part of the TIMIT database and a Chinese database which is recorded by our own. Experiments have shown that the method proposed in this paper is effective. The system has better performance and robustness than the baseline systems.

The traditional class naming is take time, the effect is not good, and there will be many take another's place by counterfeiting phenomenon, So, this paper proposes a random naming system based on image processing. This paper establishes the database class students, including students some basic information, such as name, student number, photos; then establishes a random roll call system, which the teacher can random name evaluation, for students grades and attendance; finally, test system and further improve . Because the roll call to show the students the image clear based on image processing , avoid take another’s place by counterfeiting phenomenon, student performance improved significantly. The test results show that the random naming system we developed, convenient for teacher to student's attendance and can improve student the attendance.

Taking three-level four-leg active power filter (APF) as research object, this paper establishes the corresponding mathematical model. In addition, the paper establishes the Matlab model based on predictive current control strategy, and then the theoretical analysis and simulation research are conducted. The simulation and experimental results show that the APF with predictive current control strategy can compensate harmonic current and neutral current well and make the two capacitors voltage balance effectively.

Warfare simulation scenarios will play a vital role in helping commanders to make decisions, nowadays. However, one warfare simulation scenario usually includes lots of various information with complicated relations and is not so easy to form. Thus, this paper focuses on the presentation of a basic framework of the storage of warfare simulation scenarios, and also the improvement of management capability of them based on the methods of ontology and CBR. Through researching the process of joint air defense warfare, the paper constructed the warfare scenario ontology in that domain based on the method of first-order logic and, in the following, has given the proof of its consistency and completeness. Meanwhile, the paper has also illustrated one case using one feature set and carry out case retrieval based on this expression, which has improved the effectiveness of scenario management.

Looking at the high rates of production and the steep competition in the world market, it becomes quite essential that the fault control is done in a very efficient way. This article presents a summary on the maintenance, the monitoring techniques, and the diagnosis methods for the condition based maintenance of machine tools. The paper initially gives a brief introduction on the condition based maintenance of machine tools. In the next part, the various methods for the monitoring are discussed followed by the models for data mining. The paper concludes that most of the techniques have their own advantages and drawbacks, so a careful selection of the techniques is needed to form a proper monitoring system.

this Paper Aim at the nonlinear object of industrial boiler with instability Parameter and difficult building math model, combining fuzzy control theory, an adaptive controller built with fuzzy neural to control industrial boiler is proposed. On based of analyzing coal-fired boiler inflammation system technological process and work process, the coal boiler inflammation system control scheme is designed. Then, this paper introduced the fundamental theory base and design means of fuzzy controller, and gives fundamental design process of it. At last, after the fundamental use tool kit below the Visual Basic is introduced, using it has a simulation study on the coal boiler inflammation system and gives conclusion.

This article first overview of RPG games, this paper introduces design method and the main goal of the game, then cover the whole process of RPG game, with specific examples in this paper.

With the continuous development of video detection technology, the video analysis technology based on campus security has become an important part of the construction of safe campus. As the college students still are a group that has poor ability of security protection, campus security issue is closely related to the stability of society and family happiness, and has become a topic of concern to the whole society. The intelligent vision-based campus public safety monitoring system is an important means to achieve security monitoring, it can automatically analyze the video image sequence, and detect, track and identify objects in the monitoring scene without human intervention, and make high-level understanding and analysis of behaviors on this basis. Most of the existing visual monitoring systems can collect and store video data, and the real-time event detection task can automatically be generated through background analysis. Intelligent visual monitoring system should not only be used for accident investigation, but also be used to prevent potential disasters and accidents. The system is consisted of system management platform, event mining and analysis, monitoring and extraction of moving targets, forecasting and tracking targets. The paper makes an in-depth study on the application of intelligent visual detection technology on campus. Based on the intelligent visual video analysis, hidden Markov model is adopted in the paper for video event detection and analysis, motion features and shape features are taken as the observation data, and segmentation method is adopted to analyze the influence of video viewing height and angle on the detection result.

The paper proposed a controller combined fuzzy logic with linear quadratic regulator (LQR). This controller was able to adjust the swing angle precisely during the lifting of gantry crane. It resolved the problem that the LQR controller mostly depending on the accuracy of the mathematical model. First, the paper analyzed the design method of the LQR, then an improved method combing with fuzzy logic was put forward in detail and a further simulation experiment was carried on the MATLAB. The result shows that compared with LQR, the Fuzzy-LQR method can drive the crane to destination in a shorter time and reduced the swing angle by a third.

This paper is focused on the application of Adaptive Nuerofuzzy Inference system (ANFIS) techniques in the model-based Fault Detection and Isolation (FDI). The objective of this study has been to create an online system for condition monitoring and diagnosis of specific faults for a Gas Turbine (GT) power plant. In order to study FDI and condition monitoring, accurate model of GT is needed. In this paper, the nonlinear Rowen's model is developed in Matlab/Simulink software to simulate the GT system behavior. Then, regarding the gain of artificial intelligence systems in FDI, the neurofuzzy inference system with capability of reliable learning and data approximating, is employed in developing the proposed FDI algorithm. In this paper, three types of faults have been considered, fault in the fuel flow rate, fault in the performance of turbine which affects the turbine exit gas temperature, and fault in the turbine which affects the turbine output torque. The results illustrate the effectiveness of the method in detecting and isolating the specified faults. Regarding the quality and the accuracy of the proposed algorithm, the method is introduced as the remarkable FDI methods of the stationary GT systems possibly extending to other similar applications.

In this paper, the application background and function of vibration test is introduced. Besides, the composition and working principle of vibration test system is also introduced simply. Furthermore, the characteristic of water and oil is compared with each other in the paper. It is discussed if the water hydraulic is able to be used in the hydraulic vibration test-bed or not. The capability of hydraulic vibration test-bed based on water is simulated by Matlab software. The feasibility of this project is also analyzed.

In this paper, ARM processor and real-time embedded operating system will be used in controlling system of sewage disposal, compared with the traditional controlling system of sewage disposal online PLC, not only improved the timeliness, reliability and scalability, but also enhanced the system speed. While, in order to control the low-cost, the Fuzzy-PID compound control algorithm used to control the amount of purifying agent, the algorithm can be adapt to the nonlinear and time-varying and improve accuracy. In this paper, the application of Matlab software to carry on the simulation experiment, proved the feasibility and effectiveness of the algorithm at last.

Automatic dependent surveillance-broadcast (ADS-B) is a totally new surveillance method, so before practically applied and operated in China, abundant tests and evaluations are necessary to validate the performance of ADS-B and guarantee the operational security. To solve the asynchronous problem among radar data, ADS-B data and real-time kinematic (RTK) data caused by different update rates, this paper proposes the technique of synchronizing multi-surveillance data by extrapolating from the data of low update rate to high update rate according to velocity and heading. Meanwhile, because radar data, ADS-B data and RTK data are expressed in different coordinates and cannot be compared each other, this article provides a method to unifying the coordinates of multi-surveillance data. By the analysis and evaluation, we can conclude that the performance of ADS-B is better than radar. Addtionally, the paper makes focus study on the position quality indicator and the encoding rules, and puts forward the conversion between the different rules. The paper provides the technical guide for the manufacturers and the airlines.

This paper investigates the problems of stability analysis and stabilization for a class of switched fuzzy discrete-time systems. Based on a common Lyapunov functional, a switching control method has been developed for the stability analysis of switched discrete-time fuzzy systems. A new stabilization approach based on a switching parallel distributed compensation scheme is given for the closed-loop switched fuzzy systems. Finally, the illustrative example is provided to demonstrate the effectiveness of the techniques proposed in this paper.

In order to ensure the safe operation of the ship in the medium-voltage grid, transformer protection is particularly important. Using Matlab/Simulink, this paper established transformer and its differential protection simulation model of the medium-voltage ship. To achieve differential protection function, this paper uses the M-file to program the differential protection S-function. The simulation results indicate that the differential protection models can achieve their protection functions and have better quick-acting and stability.

In this paper, the authors introduce a design of intelligent agricultural management system. The system adopted the advanced Internet of things technology and geographic information system. It can make the farmland relevant data from the sensor system in real-time processing, and realized centralizing control management. Also, this paper proposes an agricultural management system routing protocol to improve the efficiency of sensor network management ability. According to the actual test, the system can dynamically adjust related environment parameters to the best of crop growth situation, and greatly improves the quality of the crops’ growth.

Along with the rapid expansion of automation, communication, the Internet of things technology, and video image processing technology, the wireless video transmission technology based on the embedded system is becoming increasingly more mature. In this paper, what has been designed and managed to be perfectly applied is a transmission system of high reliability and convenience which based on the technique of pan-tilt control and integrated the technology of wireless LAN, embedded technology, video transmission technology. The paper briefly introduces the research background of the system, current research status at home and abroad, the development trend and the significance of this design project. What is more is that the article goes through the hardware and software design of the pan-tilt control circuit and software of real-time video transmission in a detailed way. The biggest is that this project has made the real-time video transmission in the local area network came true and you can check the real-time dynamic video images by browsing the web through you mobile phone.

This paper made a in-depth research on the application of data mining in academic management system based on overall understanding of data mining, and selected the data sample of students in grade 2007 of Logistics Management major of Logistics School of Beijing Wuzi University, this paper used Clementine software to establish decision tree model and clustering model to analyze students’ cluster characteristics by taking students’ academic achievement, score of college entrance examination, CET 4 and CET 6 level, students’ family income and psychological health, the research can help school notice development features of students in order to improve way of students’ cultivation.

Nowadays the recommendation system has been widely used, especially in the field of e-commerce, SNS, music, etc. On the basis of recommendation systems which are widely used, the paper puts forward a theatre recommendation algorithm which is more suitable in the field of theatre. In order to achieve the recommendation of theatre, the paper uses a series of steps, including weight, bipartite graph, data standardization, similarity calculation. After using this algorithm, some theatres will be recommended according to recommendation level. The results of recommendation are more reasonable, effective and satisfied.

Constructing sports e-government platform is an important content that all levels sports departments carry out sports optimal allocation of resources, expand the development and use of sports information resources and to improve the level of development of sports undertakings. For difficult problems in the construction of sports e-government platform, this paper studies the technical framework and functional framework. The technical framework is composed of seven sub-systems that Infrastructure layer, Database layer, Basic components layer, Core services layer, Application system layer, Portal layer, Access channel layer and so on. The functional framework is composed of five sub-systems that Sports information distribution system, Sports transverse application system, Sports office automation system, Sports management information system, System maintenance management system and so on. Contents of this paper focus on improving the level of application, government information resources development and utilization as the main line, for enhancing sports work management, promoting the development of sports undertakings plays an important role.

To provide the necessary design parameters for the actual motor control system, The paper introduces the modeling course of voltage space vector pulse wide modulation (SVPWM) arithmetic and AC motor under MATLAB/SIMULINK environment, discuss founding dynamic model of frequency-variable speed-adjustable system based on vector control, according to the principle of SVPWM. The paper presents the new detailed method of realizing simulation, key problems and results of the simulation were analyzed in detail. The experimental simulation results show that this system has smaller fluctuations of voltage and torque, quicker response speed, and all of the indicators accord with the performance of the actual motor. the simulation arithmetic have value to realize controlling motor with digital signals processing.

Open network teaching is an important way of reforming and the trend of future development in the area of teaching, network interactive teaching platform is the key. This platform system is supported by network technology, relying on the campus network, effectively build an interactive learning environment with professional teachers, specialized courses and self-learning students. This paper mainly discussed the issues that how to use RUP and its iterative incremental development methods to carry out the object-oriented analysis, design and implementation; the detailed modeling techniques problems, such as how to use UML language to make the demand analysis and structural design for the platform system were also studied in this paper.

This paper investigates the state space averaging of a four-phase Interleaved Boost Converter (IBC) powered by fuel cells. The state space averaging technique is a method to model the converter as time independent which is defined by a set of differential equations which will be useful for designing the controllers [18]. In this paper, mathematical models developed using state space averaging technique are presented for the proposed IBC. The power loss calculations are also computed. Simulation of IBC with fuel cell as the source is carried out in MATLAB and the results are presented and discussed.

While setting up the cloud computing platform by using OpenStack, there were some disadvantages such as very tedious operating steps and low efficiency. In this paper, we put forward a design and realization method based on CloudStack hybrid cloud computing platform. Firstly, we used CloudStack as tool to set up two independent cloud platforms, one of them was called public cloud and the other one private cloud. Then virtualization technology and a shared resource classification method discussed in this paper were performed to set up two virtual sub-servers on the main server and operate the cloud platform already established on it. Finally, we gave the two platforms corresponding authority, thus the hybrid cloud platform was established. This method was easy to set up and could reduce the cost effectively, therefore, it was very practical.