bluuebunny/crossref_metadata_2025 huggingface dataset:
Electricity Metering Monitoring and Management Technology Based on Internet of Things
Authors: Jin Jing , Zhang Xiao Shu , Xu Mei , Tong Rui , Mu Ying , Li Xia
Published: December 2014

Things of RFID-based asset management applications in the metering equipment, researching applicable to the marketing of RFID tags metering equipment, automatic identification metering equipment. Based on sensor network technology, a wireless sensor network are established in the metering equipment warehouse, working libraries and other areas so that each region and the metering device automatically perception, monitoring and recording the operation of process measuring device , strengthen out of storage management, metering equipment for the entire process of tracking. Innovative metering equipment on-site mode of operation, through handheld devices, allows the operator to automatically locate existing metering operation of equipment, a comprehensive record of on-site business information to improve business efficiency. System of things technology integration metering equipment monitoring information, will achieve metering equipment identity, authentication, monitoring, positioning and tracking, real-time monitoring metering device status, with warning alarm, query statistics functions.
Application of Laplace Formula in Additional Pressure Deduction of Curved Surface
Authors: Guo Shu Huai , Guo Huang
Published: December 2014

By adopting Laplace formula in arbitrary minimal size to deduct the additional pressure of curved surface, this article aims to conclude additional pressure expressions of arbitrary curved shape. Then, the origin of additional pressure of each curved surface can be clearly comprehended.
Multi-Resolution WNN Fault Diagnosis Model Based on Unscented Kalman Filtering for Rotating Machinery
Authors: Wei Yan Ming , Gan Xu Sheng , Yang Jie
Published: December 2014

BP neural network has a good nonlinear mapping ability, and can describe the relationship between frequency characteristics and fault. However, the multi-resolution wavelet neural network has the simple learning rules, fast training speed with the avoidance of local minima. So a multi-resolution wavelet neural network based on UKF is proposed to solve the problem of fault diagnosis for rotating machinery. The simulation result shows that the proposed multi-resolution wavelet neural network based on UKF value has a good diagnosis capability, and is better than that of traditional BP neural network and wavelet neural network.
The Design and Realization of Airborne Electrical Equipments’ Online Test System in the Environments of Mechanics
Authors: Yu Yong Tao , Chen Ming , Tian Feng , Shan Ying Ji
Published: December 2014

Current OTS (Online Test System, OTS) of airborne electrical equipments in the environments of mechanics is only able to test statically but dynamically. To solve the problem, a new kind of dynamic test system based on PXI bus is designed. In the design, modular instrument resources that used in the third generation of ATE (Auto Test System, ATE) commonly is adopted to prove the system’s reusability, extensibility and standard ability, digital signal acquisition is replaced with analog signal acquisition to realize dynamic test, support from the method of process monitoring is drew to get the capability to detect the reversible failure in UUT (Unit Under Test, UTT), VC++ language is used as the software development tool to control the system and record test data. In the special mechanics environment such as centrifuge, drawing lessons from the experience of the new concept dynamic test, the system architecture of remote control acquisition is used to prove the stability and efficiency of the test system greatly. The experimental result shows that the system runs well and has more advantages such as high efficiency of auto-test and reliability of failure diagnosis results, meeting new demand of the airborne electrical equipments’ online test in the environments of mechanics.
Application of Correlation Dimension in Extraction of Power Plant Blower Bearing Fault Feature
Authors: Pan Zuo Wei , Liang Shuang Yin , Li Zhuang , Liu Yi Bing
Published: December 2014

A mechanical system shows different dynamical features under normal running conditions and faulty. The fractal dimension is a probability measurement of a dynamical system strange attractor. It is very sensitive to the inhomogeneity of a stranger attractor. Therefore it is often used feature value for indicating machine fault. The correlation dimension is proposed to be used in detecting the bearing fault of a power plant blower. Analysis result demonstrates the correlation dimension from measured bearing vibration signals is able to identify different running conditions of the blower. The correlation dimension values of the normal condition and faulty condition can be classified clearly.
Design of Building Energy Consumption Monitoring Platform
Authors: Yang Zong Liang , Zhang Yan Min
Published: December 2014

The present study analyzed data collection, coding and transmission modes involved in building energy consumption monitoring platform. By analyzing and designing the functions, data collection and management of the system, data analysis and display, data monitoring and remote control, monitoring and prediction and analysis of pipe network, it proposed a design framework of the building energy consumption monitoring platform; and made a verification in the campus building energy consumption monitoring platform, which realized the real-time data collection of energy consumption monitoring and the dynamic monitoring of building energy consumption, and improved the decision level of intelligent building management.
Design of Distribute Monitoring Platform Base on Cloud Computing
Authors: Sun Qi , Zhao Hui Yan
Published: December 2014

Based on cloud computing distributed network measurement system compared to traditional measurement infrastructure, the use of cloud computing platform measurement data stored in massive large virtual resource pool to ensure the reliability of data storage and scalability, re-use cloud computing platform parallel processing mechanism, the mass measurement data for fast, concurrent analytical processing and data mining. Measuring probe supports a variety of different measurement algorithms deployed to support a variety of data acquisition formats, in the measurement method provides a congestion response policies and load balancing strategies.
A Classification Mechanism of Brain Functional fMRI in Resting State
Authors: Zhou Hui , Chen Zhen Cheng , Zhu Jian Ming , Wang Dong Cui , Xu Biao
Published: December 2014

To investigate the brain default mode network (DMN) of healthy young people, a novel hierarchical clustering method was proposed to detect similarities of low-frequency fluctuations between any two out of 160 regions of interest (ROI) all over the brain. Feature of these ROIs were firstextractedand analyzed the feature using hierarchical clustering approach.Combining with the strongest connected network node identified by network centric criterion, the default mode network which presented the strongest connectivity in resting state was then determined. The results demonstrated that cingulate had the highest value of average degree, making it the most suspectof where the centrality indices of DMN lay.The comparative results between nodes included by DMN returned by our method and these given by Dosenbach’s research showed quite high coincidence rates,indicating the proposed method of combining complex network theory and hierarchical clustering analysis feasible method to parse brain regions.
Study of the Interaction of Colorimetric Sensor Array and Volatile Organic Compounds Based on Density Functional Theory
Authors: Gu Hai Yang , Sun Yan Hui , Huang Xing Yi , Dai Huang
Published: December 2014

Colorimetric sensor array (CSA) is proved to be a low-cost, simple and sensitive method for the detection and identification of volatile organic compounds (VOCs) from food or beverage. The common strategy for sensor design is relied on experiment and experience that require so much money and time and limit the application of CSA method in the food and beverage industry. In this study, theoretical method named density functional theory (DFT) had been carried out to investigate the ability of CSA senor to bind VOCs. The energy change profile for each model was obtained by subtracting the energies of the CSA sensor before and after binding with VOCs. The result reflects that Manganese porphyrin (MnP) avoids the common interference of oxygen (O2) from the environment and is sensitive to the VOCs called trimethylamine (L1), propanol (L2), propane (L3), ethyl acetate (L4), butanone (L5), and propionaldehyde (L6) and the similar VOCs. This study suggests that MnP is an important and useful dye in the CSA sensor for its application in the food and beverage industry.
Study on Echo Fidelity of Radar Simulator
Authors: Xu Yin Hui , Wang Fu Zhi , Liu Yi Long , Zeng Da Zhi
Published: December 2014

Echo fidelity is an important characteristic of radar simulator and it influences accuracy and reliability of radar test directly. This paper introduces the research status of simulator fidelity and sort out the definition and property of radar echo simulation fidelity. Then we propose the numerical calculation methods for individual indicators, including similarity calculation, dissimilarity computing and interval changes three parts. Finally, on the basis of the evaluation system, we propose two calculation methods for entirety fidelity, they are weighted numerical calculation and umbrella figure methods.
Heterogeneous Sensors Navigation Method for Spacecraft Formation in the Proximity of Small Bodies
Authors: Yang Hui Xin , Yang Xi Xiang
Published: December 2014

The work investigates the different situations of navigation measurements coming from multiple heterogeneous sensors using nonlinear sequential filtering techniques to enable a small spacecraft formation to autonomously navigate in the proximity of small bodies. Non-collaborative, part-collaborative and collaborative cases are investigated to find a simple and robust method which can achieve the best navigation precision. The sensor failure is taken into consideration to assess the navigation performances. The results show that the inter-spacecraft measurements make great contribution to autonomous navigation performance and the part-collaborative navigation strategy achieves the best estimation.
Inverse Design and Numerical Control Processing of the Little Bear Punch
Authors: Zheng Ge , Wang Chun , Huang Bo
Published: December 2014

Inverse design is the process of using a certain means of measurement to measure entity or model, and according to the measurements, refactoring physical CAD model through Three-dimensional geometric modeling methods. Basing on the little model, use reverse engineering methods, three-dimensional scanning technology and Raindrop Company produced the inverse engineering software to finish the reverse three-dimensional modeling design of little bear punch. Applying Master CAM to set parameters, simulation run, and automatically generate NC code, in the vertical machining center, complex curved surface NC machining of the model can be finished. In engineering practice, it can improve work efficiency, reduce the labor intensity of product development, and reduce the artificial error of the design.
Motions Blur Effects in the Process of Three-Dimensional Animation Technology Research
Authors: Wang Shen
Published: December 2014

Three-dimensional animation is an emerging technology and animation technology with the development of computer hardware and software generated. Compared to traditional 2D animation is concerned, 3D animation has more fluid camera movement, mice richer, more delicate visual style, more stunning visual effects. Attributed to computer software to simulate the real effects in terms of the characteristics of three-dimensional animation has the advantage of a great extent, and one of the important effects that simulate real motion blur effect. According to the technical differences between the three-dimensional animation of the various stages of the process, implementation and effects of different motion blur effects are not the same. Based on the study of the basic principles of motion blur effects of the above, and analysis focuses on the different stages of its technology in animation and in effect differences.
The Integer Solutions of Diophantine Equation Χ2 − 21 = 4y5
Authors: Wu Yi , Long Lan , Zhang Zheng Ping
Published: December 2014

In this paper, we studied the integer solutions of the typical Diophantine equations with some important theories in quadratic fields and the fundamental theorem of arithmetic in the ring of quadratic algebraic integers. We proved all the integer solutions of the Diophantine equation Χ2 − 21 = 4y5.
Modeling System Reliability Using a Nonparametric Method
Authors: You Wei Zhen , Zhong Xiao Pin
Published: December 2014

System reliability is an important problem especially in reliability engineering. The frequency a system failure happens is represented by failure rate. We use failure rate instead of system reliability to analyze a particular system.Traditional parametric models cannot give a good fit to complex systems, wetherefore employed a nonparametric method in this paper. Gaussian smoothing is also applied on the failure rate curves. Compared with parametric models, the nonparametric model yields more accurateestimation of system failure rate.
The Testimony and Application of Inequality Cauchy-Schwarz
Authors: Shen Qi
Published: December 2014

This paper discusses the form of inequality Cauchy-Schwarz in the field of calculus, giving the different methods of proof, which includes Parameter method, variable upper limit integral function method, the double integral and definite integral definition method. What’s more, through a series of examples, it also reflects that the inequality Cauchy-Schwarz can make the process of proving the inequality more simple while certifying the Integral inequality.
Research of Collision Detection Algorithm Based on Parallel Space Dividing
Authors: Yang Cheng Yong , Cui Jian Ming , Li Qiu Yan , Wang Dong
Published: December 2014

In the application background of virtual teaching system, the author analyzes and designs the collision detection algorithm of parallel space dividing in view of the requirements of collision detection process. Through the experiment, the author compares the two kinds of serial and parallel space division method on the operation efficiency of comparison, and adopts parallel space partitioning algorithm to improve the efficiency of collision detection as well.
Positive Solution of Nonlinear Two-Order Three-Point Boundary Value Problem for Difference Equation with Change of Sign
Authors: Wang Chun Li
Published: December 2014

In this paper we investigate the existence of positive solution of the following discrete two-order three-point boundary value problemWherandis sign-changing on . By using the fixed-point index theory, the existence of positive solutions for the above boundary value problem is obtained.
Evaluation Method Research Based on Fuzzy Gravity Center
Authors: Yang Ke , Tian Dan , Peng Liang
Published: December 2014

Application of fuzzy mathematics theory for evaluation method based on fuzzy gravity center is presented, the results of expert scoring is displayed in the Cartesian coordinate system by graphically, the abscissa of coordinate is the final evaluation of indicators, the ordinate of coordinate is the reliability information of the indicators’ evaluation, which reflecting the reliability of the evaluation, and the concept of deviation rate is introduced to reflect the impartiality of the final score coming from experts.
Research on Application of the Shortest Path in Game Based on an Improved Genetic Algorithm
Authors: Liu Lu Si
Published: December 2014

Nowadays, the game industry has entered a period of vigorous development, each game artificial intelligence has become the indispensable one element, so a good design can be seen as the soul of game, in almost all games have a kind of be good to hear or see appearance, the soul is attracted to the core game player. In this paper, the genetic algorithm becomes a new random search and optimization algorithm, the basic idea of the theory of evolution based on Darwin and Mendel genetics. Genetic algorithm for solving multi objective and complexity with the unpredictable nature of the problem, there is there is nothing comparable to this superiority. The shortest path problem of network is abstracted to a minimum spanning tree problem and the limitations of the minimum spanning tree are analyzed. The notion of the node degree is introduced.
The Analysis and Improvement about Word Similarity Computing Method Based on HowNet
Authors: Huang Hong , Cui Shu Jie
Published: December 2014

Word similarity computing is widely used in many fields, such as question answer,text clustering and so on. This paper synthesizes previous research achievement and proposes an improved word similarity computing method based on Hownet. The improvement is mainly shown in the following aspects: We make a difference between the antonym and common words ,and define the value range of sememe similarity as [-1, 1]; what’s more we not only consider the hyponymy, but the depth and density as we compute the sememe similarity, then makes the result more distinctly; besides we introduce the concepts of weak and supplement sememes, and lower the effect of the weak and supplement sememes by reducing the weight of weak and supplement as we compute the concept similarity. Experiment shows that the improved method makes the word similarity more practically.
Homotopy Analysis Method for a Prey-Predator System with Holling IV Functional Response
Authors: Yu Jia Shang , Yu Jia Ju
Published: December 2014

In this paper, the homotopy analysis method is used for solving a prey-predator system with holling IV functional response. The approximation solutions were obtained by homotopy analysis method, and contain the auxiliary parameter h which provides us with a convenient way to adjust and control convergence region and rate of solution series. This result showed that this method is valid and feasible for the system.
Applicability Analysis of Two Sensitivity Experimental Methods under Different Conditions of Initial Experimental Parameter
Authors: Fu Dong Xiao , Zhang Rui , Li Fang , Du Zhen Hua , Ma Hong Liang , Ping Chuan Hu
Published: December 2014

We adopt analog simulation method of Monte Carlo in this paper. Under the circumstance of different prior information, in this paper we also make researches on the value assessment accuracy of the samples’ total parameters of up-and-down and langlie methods, and figure out the application condition and range of these two sensitivity experimental methods.
Parameter Design of Tooth Profile for Internal Cycloid Gear Pump with Multi-Teeth Difference
Authors: Yang Guo Lai , Zhang Xiao Li , Fan Jia Ye , Zhu Li Hao , Chen Qiang , Li Wen Qi
Published: December 2014

Based on the principle of gear engagement, the equation of rotor tooth profile has been reduced in this paper and has drawn the actual cycloid tooth profile by MATLAB software, the data obtained from MATLAB Workspace is processed by EXCEL, so the parameter drawing of the full gear tooth profile curve is very easy in AutoCAD software platform. This design method has high accuracy and convenient to processing in CNC machining center.
Rough Set Model with Tolerance Relation Based on Conditional Prior Probability
Authors: Tao Zhi , Hu Shu Qin , Guan Jing
Published: December 2014

This paper proposes a rough set model with to tolerance relation based on conditional prior probability. The new model can effectively improve classification reasonability, which base on the statistics of property values in incomplete decision system. It takes into account both the different conditions with the same attribute value and the correlation between different attributes. The model is practical for the system with significant correlation among attributes and fewer unknown attribute values
The Solution Method of Time-Varying Dynamics Model Based on Recursion
Authors: Zhang Qing Feng , Cui Xiu Mei , Wang Yang Chun
Published: December 2014

Aiming at the widely used differential equation in engineering practice, solution method based on recursion is proposed in this paper, and the theoretic proof of the local truncation error in the method ensures the calculation precision, meanwhile, the computational example verifies the correctness of the method. In all, a new way to the Variable Coefficients Differential Equation or the system of equations is offered in this paper.
Rough Fuzzy Set Based Strength Calculation Method for Transmission Tower
Authors: Gong Deng Cai , Guo Cheng Gong , Li Xiao Jian , Zhu Fu Yun , Xu Xiao Yi
Published: December 2014

In this paper,the basic idea is to use fuzzy conversion principle,through membership degree theory to qualitative evaluation into quantitative evaluation,and consider all relevant factors, from the lowest level of each factor level comprehensive evaluation, followed up until the highest target layer, thus subject to many factors thing or object to make a relatively objective, accurate, realistic assessment. Then solve practical problems with fuzzy nature. It has the result of clear, systematic and strong features can solve vague, difficult to quantify the problem, suitable for solving a variety of non-deterministic problem.
Cross Sellingusing Association Rule Mining
Authors: Yao Ran Bo , Song An Ping , Ding Xue Hai , Li Ming Bo
Published: December 2014

In the retail enterprises, it is an important problem to choose goods group through their sales record.We should consider not only the direct benefits of product, but also the benefits bring by the cross selling. On the base of the mutual promotion in cross selling, in this paper we propose a new method to generate the optimal selected model. Firstly we use Apriori algorithm to obtain the frequent item sets and analyses the association rules sets between products.And then we analyses the above results to generate the optimal products mixes and recommend relationship in cross selling. The experimental result shows the proposed method has some practical value to the decisions of cross selling.
Research and Construction of Automation Comprehensive Experimental Platform
Authors: Sun Huan , Liu Hong Li
Published: December 2014

According to the automation and related professional laboratory present situation, combining with the main courses of teaching content, an automation integrated innovation experimental teaching platform is designed based on the current situation of the laboratory for automation specialty and related majors. This platform integrates advanced theory and technology of sensor, measurement computer control,information engineering and communication engineering, which can complete the basic experiment of main courses, but also develop some comprehensive, professional design and innovative experiments. So the platform can maximize the effect of teaching, experiment and research.
Learning Algorithm for Fuzzy Perceptron with Max-Product Composition
Authors: Yu Xin , Xie Mian , Tang Li Xia , Li Chen Yu
Published: December 2014

Fuzzy neural networks is a powerful computational model, which integrates fuzzy systems with neural networks, and fuzzy perceptron is a kind of this neural networks. In this paper, a learning algorithm is proposed for a fuzzy perceptron with max-product composition, and the topological structure of this fuzzy perceptron is the same as conventional linear perceptrons. The inner operations involved in the working process of this fuzzy perceptron are based on the max-product logical operations rather than conventional multiplication and summation etc. To illustrate the finite convergence of proposed algorithm, some numerical experiments are provided.
Cuckoo Search Algorithm and its Application on School Bus Problem
Authors: Ma Xiao Long , Li Yue Guang
Published: December 2014

In this paper, discusses the school bus problem, given the mathematical model of route optimization, put forward an improved cuckoo search algorithm. Finally, take school bus routes running problem of Gansu Normal College for Nationalities as an example, the algorithm was experimented and the experimental results show that the algorithm to be successful.
Fitting Spherical Surface and Evaluating Sphericity Error Based on the Minimum Zone Principle
Authors: Zhang Lei , Liu Li Li , Huang Chuan Hui , Lu Xing Hua , Sun Gen
Published: December 2014

To address the fitting spherical surface and evaluating sphericity error, a mathematical model based on the minimum zone principle is presented. And the presented model is answered by GA. An example shows the performance of the proposed method by comparison with the methods based on the least square principle.
One Fusion Algorithm of Equipment Fault Prediction Based on Rough Set Theory and Grey Model
Authors: Song Zhen Yu , Zhang Guang Yi , Su Yan Qin
Published: December 2014

Rough set theory and grey theory have the same advantage of processing inaccuracy data, so one fusion algorithm based on them is proposed. The attribute reduction algorithm of rough set theory can reduce the decision table of fault diagnosis, and grey theory can predict the fault based on the new reduced decision table. Then it is verified in some aero radio equipment, and the results indicate that the accuracy of fault prediction is quite higher, which provides the foundation to improve the equipment reliability and maintainability.
An Improved Particle Swarm Optimization Algorithm for Dynamic Power Allocation Problem
Authors: Zhao Jian Jun , Zhao Wen Jie
Published: December 2014

In this paper, we propose a fast multiobjective particle swarm optimization algorithm (called CBR-fMOPSO for short). In the algorithm, a case-based reasoning (CBR) technique is used to retrieve history optimization results and experts’ experience and add them into the population of multiobjective particle swarm optimization algorithm (MOPSO) in dynamic environment. The optimal solutions found by CBR-fMOPSO are used to mend the case library to improve the accuracy of solving based on CBR in next solving. The results from a suit of experiments in electric furnaces show that the proposed algorithm maintains good performances however the environment changes.
Data Mining and Optimize TCM Prescription Compatibility Based on WDS-PLS
Authors: Wang Zhuo , Nie Bin , Yu Ri Yue
Published: December 2014

Data mining and optimize traditional Chinese medicine (TCM) prescription compatibility based on wavelet denoise spectral and partial least squares (WDS-PLS). Method: First of all, experimental design: with reference to the original formula, the herbal medicines in a prescription designed nine formula based on mixing uniform design; Secondly, obtain experimental data and data standardization; Finally, mathematical modeling, data mining and optimize TCM prescription compatibility base on WDS-PLS.Results: gain the regression coefficient and equation, VIP sorting, loadings Bi plot, and seek out the optimized direction of the prescription. Conclusion: the method data mining and optimize the compatibility of the dachengqi decoction is feasible and effective.
Prediction of Fault Severity of Aircraft and its Equipments Based on Relevance Vector Machine
Authors: Gan Xu Sheng , Duanmu Jing Shun , Gao Hai Long
Published: December 2014

To predict the fault severity of aircraft and its equipments, a modeling and predicting method based on Relevance Vector Machine (RVM) under Bayesian framework is proposed to solve the problem. First the principle and realization step of RVM are detailed, and then RVM is introduced in prediction of fault severity of aircraft and its equipments. The prediction result indicates that the proposed model has a good prediction to fault severity of aircraft and its equipments.
Modeling and Simulation of AWACS Supporting Fighter Plane Air Blockade Combat
Authors: Lin Yun , Zhang Qian Yu , Liu Qi , Wang Wen Shuang , Huo Qi Shuang
Published: December 2014

This paper analyses the process of AWACS aircraft supporting fighter plane with the implementation of air blockade. On the basis of it, model fighter plane blockade combat, establish the hit probability model for solving fighter air regional blockade, do experiments by using this model, adopt orthogonal experiment for design to reduce complexity, get the key factors influencing fighter blockade combat by further combination of analytic method and simulation analysis, carry on importance analysis, and finally put forward that the first selection of combat forces configuration index are external probe and target designation information transmission delay.
Air Ship Missile Carrier Aircraft Attack Array Model Research
Authors: Han Yu Long , Yan Jian Gang , Lin Yun , Zhang Qian Yu , Huo Qi Shuang
Published: December 2014

This paper studies air defense system kill zone, air ship missile firing mode and air ship missile launch area that impact air ship missile load matrix determine key problems, establishes air ship missile carrier array’s mathematics model, makes simulation calculation of the model, and analyzes simulation results, and gets the influence law of vehicle speed, height, target motion characteristics, deviation angle and pitching angle on attack matrix, and the results can provide reference for determining air ship missile carrier aircraft attack array.
The User Preference Model in Emergency Knowledge Representation
Authors: Huang Wei Dong , Yang Ji Dong , Ouyang Ya Fei
Published: December 2014

By analyzing influence factors of the document that the retrieval system recommends to the user, a user preference model is established. Based on the correlation between the emergency vocabularies, which is adjusted by the user preference model, a vocabulary correlation matrix is put forward to extend the retrieval model. Furthermore, according to new retrieval results and records of user operation, the user preference model is optimized. Finally, the validity and usefulness of the keyword extension-based user preference model in the algorithm is verified.
Energy Field Filling of NEIC Broadband Radiated Energy Catalogue Based on Support Vector Machine Regression Model
Authors: Wang Mao Fa , Jiang Qi Gang , Feng Ji Lin
Published: December 2014

Earthquake prediction is one of the most difficult problems in modern natural science. Undoubtedly, various seismic parameters included in broadband radiated energy catalogue of NEIC is very important data source of investigate correlation between different earthquake within specific time space scope. In the paper, a fitting mode of seismic energy based on Support Vector Machine is established, using which we can fill the absent energy filed in the broadband radiated energy catalogue.
Numerical Solution to Volterra-Type Integro-Differential Equations of the Second Kinds by Legendre Collocation Method
Authors: Zhao Ting Jing
Published: December 2014

The purpose of this paper is to propose an efficient numerical method for solving Volterra-type integro-differential equation of the second kinds. This method based on Legendre-Gauss-Radau collocation, which is easy to be implemented especially for nonlinear and possesses high accuracy. Also, the method can be done by proceeding in time step by step. Illustrative examples have been discussed to demonstrate the validity and applicability of the technique, and the results have been compared with the exact solution.
Vessel Traffic System Project Post Evaluation Method Based on Cloud Model
Authors: Xu Zhi Yuan , Wu Zhao Lin , Yao Jie , Ren Yu Qing
Published: December 2014

Post evaluation is necessary for assess the success degree of a new system. A vessel traffic system project post evaluation method based on cloud model is presented. Firstly, we created the post evaluation index system and weight; Secondly, the expert scored the indexes and then cloud models were achieved; Thirdly, the comprehensive cloud algorithm calculated the result; Finally, the forward cloud generator restore the droplets distribution. The experimental result shows that the method is effective and intuitive.
Study on Chinese Word Segmentation Algorithm
Authors: Chu Dong Xue
Published: December 2014

Today's very popular search engine technology, which is conducive to further analysis and full-text retrieval technology for Chinese word segmentation technology, and Chinese word segmentation is an important technology of Chinese information, the quality of Chinese word segmentation will have a direct impact on the efficiency of Chinese information. Therefore, the related concepts of the Chinese algorithm are discussed in this paper, some specific algorithm for Chinese, like algorithms based on rules and dictionary, statistical algorithms based on large-scale corpus, unity algorithm of statistics and the rule, artificial intelligence word segmentation algorithms and so on, and finally it describes the evaluated basis and difficulty of Chinese word segmentation algorithm.
Yarn Selection Based on Simulated Annealing Genetic Algorithm
Authors: Jiang Li , Yan Gang Feng , Fan Zhen
Published: December 2014

Aiming at the bad performance when achieve rich colors of fabric with very limited yarns in the traditional woven industry, the paper comes up with a solution of selecting yarn from a set of yarns based on SAGA(simulated annealing genetic algorithm). In order to reduce the computational complexity, original image is compressed based on clustering algorithm. And the original yarns is divided into four regions based on color separation algorithm to narrow the feasible area. The result of experiments show that image compression and yarns division can greatly improve the speed of SAGA, and SAGA can effectively converges to global optimal solution.
The Search on Mathematical Model of Evolutionary Computation
Authors: Zhang Jun , Li Ming , Xiao Hui Rong
Published: December 2014

Evolutionary algorithm is a random search method. In recent decades, various evolutionary algorithms emerge in endlessly by imitating population activity or the law of nature, so that evolutionary computation has been developed rapidly. The study of mathematical model about evolutionary algorithm is very lack. Only a small amount of research has been done. Through the study of the matrix model of evolutionary computation, this paper discusses the evolutionary process based on the matrix model in detail, and the working principle of matrix model and physical significance. The improvement suggestions of evolutionary algorithm have been given from the angle of the matrix model.
Applied Research of Association Mining Technology in Student Achievement Analysis System
Authors: Wang Ying Hui
Published: December 2014

Most colleges and universities have built a database of student achievement, but only a simple query and statistical operations, while hiding behind the data in these achievements even more valuable information has not been excavated and use. To solve this problem, this paper proposes the use of data mining association mining method on student achievement dig deeper; get relevant information between different courses for school administrators in decision analysis, the teacher's lesson plans and student learning arrangements.
Study and Prediction on the Development Trend of Chinese Sports Venues on the Basis of Grey Prediction Model
Authors: Li Yu Ming
Published: December 2014

The grey forecasting method in most of the existing prediction, there are little research on the problem of interval prediction. This paper presents the concept of synthesis of grey number and grey theory, describes the properties of the synthetic ash gray because the grey prediction model is proposed the importance to build the stadium for the first time. On this basis, the thesis analyze the research background and significance, then describes some scene at home and abroad, and then analyzes the important characteristics of large-scale sports events and sports stadium construction, at last, the paper does some prediction about the construction of the stadium. This paper mainly uses the literature investigation method combined with a survey method.
Application of Data Pre-Processing Method in Web Mining
Authors: Duan Yun Peng , Zhao Chun Xi , Shi Ying
Published: December 2014

With the widely application of the WWW and the emergence of Web technology, make the research of data mining has entered a new stage. Web log mining is based on the idea of data mining to analyze the server log processing. Paper aimed at the early stage of the data mining is put forward based on log data preprocessing methods, the purpose is to divide server logs into multiple unique user access sequence at a time, and to give a good algorithm.
A Dynamic Edge Exchanged Ant Colony Algorithm for TSP Problem
Authors: Liu Yu Zhong , Yu Hua Ping
Published: December 2014

Aimed at solving premature convergence and low speed in heuristic algorithms for TSP problems, this paper analyzed the principle of Max-Min Ant colony algorithm (MMAS) and Lin-Kernighan algorithm, then proposed a dynamic exchange of Max-Min Ant colony algorithm (MMAS-LK). The new algorithm used MMAS to initially a set of the solutions in the early state, then utilized the improved Lin-Kernighan algorithm for local optimization, and dynamic adjustment parameters according to the process of computing avoid falling into local optimum. The simulation results showed that the proposed algorithm compared with the original MMAS and Lin-Kernighan algorithm, it has a better speed and precision in the TSP problem.
The Application of MATLAB Simulation Technology on Evolutionary Game Analysis
Authors: Zhu Qi Te , Liu Cheng Hao
Published: December 2014

System simulation software MATLAB is developed by the United States Mays Walker Corporation (Mathwork) for the study of engineering analysis and design process. On the basis of discussion on MATLAB simulation software, this paper introduces the evolutionary game model, and take the evolutionary game model between logistics enterprises and SMEs as an example , Showing the application of MATLAB simulation technology on evolutionary game.
Scheme Automatic Generation Based on Full Life Cycle Assessment Gene Model of Structure
Authors: Chen Ji Wen , Yang Hong Juan , Xu Nan , Li Li
Published: December 2014

Considering the inheritance and hereditary of product structure life cycle assessment, full life cycle assessment properties of structure is introduced into expression of design scheme. Scheme evolution design is presented based on gene model of full life cycle assessment properties of structure. The gene model of life cycle assessment properties of structure is established. The variable length coding is converted to equal length coding to realize the quantitative representation of structure information. The fitness function is established for life cycle assessment of structure by Analytic Hierarchy Process. The genetic operators are designed. Scheme evolution design is realized based on gene model of life cycle assessment of structure, reflecting life cycle assessment properties of design schemes, improving the efficiency of product design generation. The evolution design example of multi-rope diamond wire saw verifies the feasibility of the imposed method.
Realization of RBF Neural Network with Local and Semi-Local Transfer Function Approximation and Classification
Authors: Luo Mao , Song Shao Yun
Published: December 2014

Incremental Neural Network (IncNet) structure is controlled by the growth and pruning, and the complexity of the match and training data. Dual radial transfer function is more flexible than other commonly transfer function used in artificial neural network. Recent improvements in the multi-dimensional space (having the N-1 parameters) to increase the rotation of the transfer function of the constant value. Based on the results of the benchmark approach and psychological classification analysis clearly shows than any other classification network model has a stronger generalization.
A Finite Element Analysis of the Rectangle Spline Broach
Authors: Tian Zhuo , Li Bai Cheng
Published: December 2014

In the traditional design,the impact tools of broach maybe unable to achieve the requirements for the processing precision,or even occur the situation of partial fracture due to a exaggerated partial deformation.In this article,by using Pro/E we complete the 3D solid modeling and the dimensional parameterization of the impact tools for rectangle spline broach,then import the 3D model into ANSYS,to analyze and solve the whole process of load and deformation at work.It can effectively improve the machining accuracy and the reliability of broach, shorten the design cycle and reduce cost.
Sparse Coding in Modularity Community Detection with Big Data
Authors: Zheng Qiang
Published: December 2014

Community detection in Big data society network is problem we must solve.we use the sparse coding effectively identify implicit in the internal structure of input data and model. In the same tim we use the modularity community detection cover the random structure problem of the real society networks. It was proved feasible by the results of experiment with real society networks.
The Differential Game Analysis on the Construction Problem of the Public Libraries
Authors: He Xue , Tian Shuang Liang , Chen Ping , Tian Wen Wen
Published: December 2014

Using the differential game theory, we studied the investment problem on public libraries, and established the Leader-follower differential game model, which is between the governments and the private enterprises (social organization). By building the Hamiltonian solving the Stackelberg balanced optimal solutions in the main two game players when they choose their strategies. By adjusting the strategy of government and social utility’s coefficient of dynamic to increase the comprehensive social utility of libraries.
Research on the Multi Object Polymorphism in C++ Based on Display Management Overloaded Set
Authors: Cao Da You
Published: December 2014

In C++, there exists static dispatching technique and dynamic dispatching technique. To move some dispatching at executive time up to compile time can reduce length of complied code and improve the overall running speed. We analyze the necessity of introducing static dispatching technique and those used commonly, and then we present a way to realize static dispatching technique by using enable if template group in Boost library non-intrusively explicitly to manage the overloaded set of template functions. More importantly, in this way, one could overload template functions by their return values.
Research on Bilingual Corpus Based Machine Translation
Authors: Wang Shuang
Published: December 2014

This thesis proposes several methods for bilingual corpus form different websites, such as Automatic acquisition of bilingual corpus base on "iciba" web, CNKI and Patent network. It introduced methods, procedures of the acquisition of a variety of corpus. We proposed different methods to obtain the bilingual corpus for different characteristics of different sites, and achieved fast and accurate automatic access of a large-scale bilingual corpus. When we obtain the bilingual corpus based on "iciba" web, the main method is Nutch crawler, which is relatively good, and has an accurate retrieve and a good correlation. In addition, we give up the idea of bilingual corpus obtained from the entire Internet, but we use an entirely new access, that is to access to the basic information of scholarly thesis’s in the CNKI to obtain the large-scale high-quality English-Chinese bilingual corpus. We obtain GB level of large-scale bilingual aligned corpus in the end, which is very accurate by the manual evaluation. And the corpus makes preparation for the further cross-language information retrieval research.
The Application and Study on Intelligent Real-Time Machine Translation Technology
Authors: He Yan , Wang Shu Jin
Published: December 2014

Based on the research on correlation technique at home and abroad, this thesis implements a term automatic intelligent real-time translation system in patent documents translation of English-Chinese. Through the analysis of noun terms in a large number of bilingualism corpuses, the source language terms need to be reordered firstly. And then the n-best candidates can be obtained after being translated by Moses. At last, the best result is chosen according to scoring the n-best result again.
Study on Key Technique for Mechanical Engineering Based on Machine Translation
Authors: Meng Chun Mei , Zhou Jie
Published: December 2014

In this paper,machine translation and computer-aided translation are researched, in conjunction with the problems that the author encountered with the existing translation tools when translating mechanical engineering files, the necessity and idea of the mechanical engineering translation computer-aided tool brought forward. This tool aims at mechanical engineering translation features, improves speed and quality of mechanical engineering translation, ignores the language complexity and ambiguity, and introduces a mechanism of symbols for words and expressions. According to this paper, the PTCAT is designed and implemented.
Design and Realization of Network Gambling Crime Investigation System
Authors: Wang Gang
Published: December 2014

The article discusses the investigation of net gambling. In the world, according to different states have different attitude; the section concludes the illegality of net gambling. Initiation of investigation has two categories: automatic initiation and compelling initiation, we should choose the latter, but it should have exception. The specific countermeasures are collecting leads from citizens’ reports or the public security organs’ conduct. Then the public security organs should find out the truth of the case, arrest the suspects and obtain the evidence. When the investigations were concluded, the organs should remove it to procurator ate for examination, or quash the case, in accordance with the following elements: the facts, evidence and legality. At the last of the section, specific investigation countermeasures for different kinds of net gambling are discussed.
Research on Security Management of Library Computer Network System
Authors: Wang Xu
Published: December 2014

With the rapid development of network science and technology, people are dependent on the network and usage greatly improved, but the network to bring convenience, but it also brings a lot of network security issues, it has become a constraint library computer network construction greatest limiting factor. This paper describes the impact of the library computer network system security management of specific issues, according to the system requirements of practical application, in terms of the system operating environment, hardware systems, software systems, network systems and system data, such as design of the library computer network system security policy and implementation are discussed. Through the library computer network security threats faced by the system proposed safety management, regulations are important to ensure the development and implementation of computer network system security. Proposed library computer network system security management strategies, we hope to enhance the library computer network security have some help.
Research on Mechanic Product Design Management Information System Based on Web Technology
Authors: Song Yan
Published: December 2014

With the expansion of enterprise scale and increasing fierce of market competition, improving the speed of developing products and shortening the time to market of products is the prerequisite for enterprises to capture the market. Therefore, product design management information system based on product design and technology is very important in enterprises. The paper starts from Shanghai Road and Bridge Mechanical Equipment Limited Corporation, and proposes the subject, Research on mechanical product design management information system based on Web.