bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Caustic Soda Flakes-Phosphogypsum on Activation and Microstructure of Carbide Slag-Flyash
Authors: Ding Qing Rong , Ma Yu Ying , Xiang Xing , Cao Hong , Chen Xue Jun
Published: September 2013

This article studied the influence of the caustic soda flakes (CSF) phosphogypsum (Ard) activator on the properties and microstructure of hydration product generated by carbide slag (CS)-flyash (FA) system which used in high-grade highways pavement. Studies have shown that: the main hydration products generated by carbide slag-flyash system are calcium silicoaluminate hydrate (C-A-S-H) and ettringite (AFt), but the reaction of hydration is slow and the content of hydration products is low. However, the caustic soda flakes-phosphogypsum can promote the formation of C-A-S-H and AFt, so can improve the strength and engineering application of the system effectively.
Error Analysis and Testing on Shafting Verticality for Horizontal Photoelectric Theodolite
Authors: Feng Wei Dong , Xu Wen , Wang Xian Hong
Published: September 2013

It is vitally important to improve effects of error compensation for horizontal photoelectric theodolite and reduce production costs by executing rational control of verticality error of shafting. This paper analyzes the mechanism how the verticality error of shafting influences measurement precision of photoelectric theodolite considering the architectural characteristics of the frame of horizontal theodolite. Matlab software has been used to simulate pointing accuracy. Verticality error of shafting of horizontal theodolite has been detected. Measured verticality error of shafting is 37 and detection error is 10. Results of analysis and detection to be applied for error compensation can improve pointing accuracy of the theodolite.
Purification of Axis Trace by Ensemble Empirical Mode Decomposition
Authors: Zhu Jia Xing , Zhang Wen Bin , Pu Ya Song , Zhou Yan Jie
Published: September 2013

Aiming at the purification of axis trace, a novel method was proposed by using ensemble empirical mode decomposition (EEMD). Ensemble empirical mode decomposition decomposed a complicated signal into a collection of intrinsic mode functions (IMFs). Then according to prior knowledge of rotating machinery, chose intrinsic mode function components and reconstructed the signal. Finally the purification of axis trace was obtained. Simulation and practical results show the advantage of ensemble empirical mode decomposition. This method also has simple algorithm and high calculating speed; it provides a new method for purification of axis trace.
Tool Broken Protection System on Bogie Frame Deep-Hole Drilling
Authors: Feng Wei Dong , Pan Ji Hui , Xu Wen
Published: September 2013

During drilling and tapping the deep holes of ratio of length to diameter of 6:1 to 10:1, the tools likely suffer random breakage, On account of such situation, a drilling overload protective system based on spindle power monitoring is raised. The analysis and processing of the abnormal signals detected by means of the principle of wavelet theory and real-time cross-correlation algorithm by detecting the loads and current of the machine spindle motor and changes of phase angles between voltage and current resulting in change of power, the shortcoming of hard determination of threshold function can be avoided while the sensitivity of signal can be guaranteed. The test results achieve the predicted effects with acquisition, processing and analysis numerous data.
Research of Human Body Detection and Tracking Algorithm
Authors: Zhang Gang , Ouyang Bin , Yu Lu Ming , Zhang Lei
Published: September 2013

In this paper, the proposed algorithm regards the human body object character symbol using Support Vector Machine (SVM) classifier to train and classify Histogram of Oriented Gradient (HOG) features, which improve the accuracy of human body detection. We use optical flow tracking algorithm based on corner points of the contour for tracking. Kalman filter is regarded as the predictor to predict the size and location of the searching object. Also, the size and location of track window is real-time updated. In this paper, we present an object tracking algorithm for multi-media teaching video shoot. Target tracking technology is used for the video image processing analysis. By extracting moving object, we can get information in the subsequent frames to determine the trajectory and size of moving objects. After analysis of a large number of experiments, we can draw the conclusion that the algorithm is effective.
Remote Repair System Based on VIRTOOLS
Authors: Wang Zi Qing , Shen Bin , Liu Zheng Guo , Liu Jun Qing
Published: September 2013

With the increasingly complex new equipment, its maintenance repair training to become a big problem in the process of using the equipment. The traditional training mode by the equipment repair most limit, long development cycle, the characteristics of large investment, based on analysis of virtual repair training system development and function of demand, establish the remote repair system based on VIRTOOLS . The system can create realistic simulation results on the computer, the computer simulation of realistic behavior. The combination of network technology and virtual reality technology organically will provide a technical platform for remote repair service. This paper studies and discusses the architecture of remote repair system based on VIRTOOLS, the key technology and implementation method. And the system structure of remote fault diagnosis system is analyzed.
Error Auto-Compensation Methods of Improved Single-Axial Rotation INS
Authors: Li Guo Ping , Gao Yan Bin , Wang Ting Jun , Guan Lian Wu
Published: September 2013

An Auto-Compensation of inertial navigation system (INS) based on improved single-axis rotation has been proposed in the paper. Inertial Measurement Unit (IMU) is tilt mounted, e.g. neither perpendicularly, nor coaxially, with the rotation axis. Analysis and derivation show that this angle arrangement of IMU can restrain the expansion of the system errors caused by IMU. Simulations demonstrated the coincidence of the theoretical analysis and the system performances
Simulation on Torpedo Unsteady Hydrodynamic with the Movement in the Longitudinal Plane
Authors: Yang Ming , Zhao Shi Ping , Wang Han Ping , Wang Lin Peng , Wang Shao Zhu
Published: September 2013

The unsteady hydrodynamic accurate calculation is the premise of submerged body trajectory design and maneuverability design. Calculation model of submerged body unsteady hydrodynamic with the movement in the longitudinal plane was established, which based on unsteady three-dimensional incompressible fluid dynamics theory. Variable speed translational and variable angular velocity of the pitching motion in the longitudinal plane of submerged body was achieved by dynamic mesh method. The unsteady hydrodynamic could be obtained by model under the premise of good quality grid by the results. Modeling methods can learn from other similar problems, which has engineering application value.
Study on LSSVR Modeling Positioning Based on Particle Swarm Optimization
Authors: He Xue Wen , Huang Wen Qian
Published: September 2013

Particle Swarm Optimization (PSO) is a new intelligent optimization algorithm and it iteratively searches the parameter space in parallel to optimize. The method is simple and practical, with fewer adjustable parameters which has been widely researched and applied. This paper intends to make PSO to the modeling parameter of the least squares support vector machine (LSSVM), to improve its positioning effect and precision of modeling positioning.
An EnhanEigen Algorithm Trust Model in P2P Network
Authors: Li Xia Li , Xiang Jing Jing , Zhang Su Juan , Yang Xiao Hua
Published: September 2013

EigenTrust is a typical global trust model which presents a distributed and secure method to compute the global trust values for peer to peer network, but it cant judge the authenticity of the evaluation from the requesting service peer. To alleviate the problem, we present an improved algorithm based on EigenTrust trust model, called EnhanEigen. We use malicious percentage (mp) and feedback consistency percentage (fcp) as the new trust evaluation criterion to filter malicious peers. By changing the ways in which peers submit feedbacks and using comprehensive trust value, our trust model can distinguish false feedback to resist to malicious attack. Simulation experiments demonstrate that it has a better performance on ensuring the success rate of transactions and has the shorter algorithm execution time.
Application of Fuzzy Genetic Algorithm in Parameter
Authors: Wang Zhi Hong , Hao Li Jun , Lu Xiao Qing , Wang Bin
Published: September 2013

Fuzzy fitness function is presented on the basis of analyzing fuzzy genetic algorithm structure. Fuzzy genetic algorithm is used to determine uncertain parameters in parameter setting process. Finally, a typical industrial process paradigm with uncertain objectives is given to illustrate the effectiveness of the approach.
Solving Closed Walk Ferry Route Design Problem by Using an Improved Genetic Algorithm
Authors: Wang Yong , Dou Qiang , Peng Wei , Gong Zheng Hu
Published: September 2013

In recent years, using message ferries as mechanical carriers of data has been shown to be an effective way to collect information in wireless sensor networks. Closed Walk Ferry Route Design (CWFRD) problem aims to minimize the average weighted delay of the sensed data to the sink by designing the ferry route as a closed walk which contains more than one simple cycle. In this paper, an improved genetic algorithm is proposed to solve the CWFRD problem. Different to other problems solved by the genetic algorithm, in the CWFRD problem, the ferry may access the sink node more than one time, and then the lengths of the two chromosomes for evolving may be different. The proposed Improved Genetic Algorithm (IGA) can solve this problem, and experimental results show that IGA can greatly reduce the average weighted delay.
Study on CO2 Hydrogenation to Ethylene with Iron-Based Catalyst
Authors: Su Chun Yan , Tan Jian Qun , Wang Cheng Xue
Published: September 2013

Carbon dioxide hydrogenation to ethylene was investigated on Fe-Cu-K-Ce loading catalysts. These catalysts were prepared by impregnation method, and studied on the CO2conversion and the selectivity of ethylene. The proper carrier was obtained comparing with their catalytic activity. The loading contents of active components on carriers and reaction conditions were studied. Results show that the MgO-ZSM-5 are the best carrier, the content of Fe at 15% and the molar ratio of Fe: Cu: K: Ce with 100: 20: 8: 8 is better under the condition of reaction temperature and reaction pressure are 623K and 1.0Mpa respectively with CO2conversion of more than 60% and the selectivity of ethylene of more than 20%. The catalysts were characterized by CO2temperature-programmed desorption (CO2-TPD).
An Improved Particle-Based Coupling Method of Fluid and Rigid Bodies
Authors: Guo Jia Xiang , Yang Cheng , Han Jie , Liao Xiang Yun , Yuan Zhi Yong
Published: September 2013

We present an improved particle-based coupling method of fluid and rigid bodies which consists of fluid-rigid coupling and rigid-rigid coupling. To simulate both rigid-rigid and fluid-rigid coupling process, we compute the pressure and friction forces between rigid boundary particles and fluid particles. Then we discretize them by SPH method and obtain the resultant forces of rigid bodies and fluid. The main advantage of our method is that it does not rely on the surface normal of rigid bodies and not affected by the sampling density on rigid boundary. Combined with collision pretreatment and space divided neighboring research, our method can simulate the fluid and rigid bodies coupling process efficiently, which possesses high fidelity and strong robustness.
Simulation of Ocean Wave-Generated Magnetic Field Disturbance Observed above Sea-Surface Based on Directional Spectrum
Authors: Xiong Xiong , Yang Ri Jie , Miao Kang Le
Published: September 2013

Ocean wave have a magnetic field disturbance, caused by the motional induction of sea water moving in the steady main field of Earth. Mass experiment indicates ocean wave-generated magnetic field disturbance can be a major limitation on the performance of airborne magnetic anomaly detection. To check the character of such disturbance observed above sea-surface, a harmonic ocean wave-generated magnetic field disturbance mathematical model based on Weavers monochromatic wave-generated magnetic field model and ocean wave directional spectrum is proposed. Algorithm is presented for real-time simulation of ocean wave-generated magnetic field disturbance corresponding to the proposed mathematical model. Numerical simulations of ocean wave-generated magnetic field disturbance are sampled above sea-surface by a stationary magnetometer and an airborne magnetometer moving steadily along a rectilinear path. Spectrum analysis of the samples is performed. Simulations results indicate that the proposed harmonic ocean wave magnetic field disturbance mathematical model can well-simulate the real sea conditions. Numerical simulations also reveal that there is a Doppler frequency shift with the increase of magnetometer flight speed. Moreover, energy of the magnetic field disturbance is more dispersed and frequency band is wider with the increase of magnetometer flight speed.
The High Performance Computing of Inversion Algorithms
Authors: Dong Wen , Qiao Shi , Mao Jia Li , Yue Miao
Published: September 2013

The inverse problem is an important interdisciplinary subject, which receives more and more attention in the fields of mathematics, computer science, information science and other applied natural sciences in recent years. Nowadays, the inverse problem is more and more commonly applied than before, e.g., in image processing and geophysics. This trend promotes the development of both the advanced computing methods and high performance computing techniques. The high performance of computing problems for inverse algorithms is discussed in this paper, which is meaningful for the research of applied inversion subjects.
Research on Dance Teaching Advantage Analysis Based on Computer Intelligent Simulation
Authors: Li Hai Yan , Yang Yan Xia
Published: September 2013

Computer simulation technology is one of the main components of the construction of modern educational environment which provides rich and comprehensive operating model train for students and trains students in all aspects of technology and develops students' Potential ability and achieves the purpose of teaching science entertaining ultimately. This paper first analyzes the connotation of the computer intelligent simulation teaching. Based on this, it combines with three-dimensional recovery principle of dance moves under computer intelligent simulation technology. It also analyzes the dance teaching principle and teaching strength based on computer intelligent simulation. This paper puts forward relevant recommendations and enhances the systematicness and practical applicability of dance teaching in the field of education and teaching which opens up new path for dance education.
Applied Research of Improved Hybrid Genetic Algorithm in Multiple Constraints Location - Routing Problem
Authors: Jiang Yan Fen , Feng Chun Ling
Published: September 2013

The location routing problem (LRP), which simultaneously tackles both facility location and the vehicle routing decisions to minimize the total system cost, is of great importance in designing an integrated logistic distribution network. In this paper a simulated annealing algorithm (SA) based hybrid genetic algorithm was developed to solve the LRP with capacity constraints (CLRP) on depots and routes. The proposed hybrid genetic algorithm modified the population generation method, genetic operators and recombination strategy and realized the combination of the local searching ability of SA and global searching ability of GA. To evaluate the performance of the proposed approach, we conducted an experimental study and compared its results with other heuristics on a set of well-known Barreto Benchmark instances. The experimental results verified the feasibility and effectiveness of our approach.
Design and Analysis of Algorithms Based on the Discrete Model
Authors: Guan Qiong , Fang Jian Bin
Published: September 2013

With the widely use of discrete problems in production scheduling, traffic control, logistics, management science and social science, the restraint of the integer solution to the discrete problem, adding to the difficulties. In this paper, knapsack problem as an example, the computational accuracy and computation in the next, studied the design and analysis of algorithms for solving discrete problems.
Performances of Titania-Supported Ru-Based Bimetallic Catalysts in Glycerol Hydrogenolysis Reaction
Authors: Feng Jian , Xu Bin , Liu De Rong , Xiong Wei , Wang Jin Bo
Published: September 2013

Preliminary studies on the hydrogenolysis of glycerol over the titania-supported Ru-based bimetallic catalysts (Ru-Fe/TiO2, Ru-Co/TiO2, Ru-Ni/TiO2and Ru-Cu/TiO2) were reported. The introduction of a second transition metal can obviously increase the selectivity to 1,2-propanediol of the Ru catalysts, but a deactivation effect was also found. The catalytic performances of the Ru-based bimetallic catalysts were discussed with a proposed reaction mechanism. The addition of Fe, Co, Ni or Cu enables the Ru-based catalysts to favor the dehydration route over the retro-aldolization route in the reaction process.
A MPPT Control Algorithm Based on Extreme Learning Machine in PV System
Authors: Wang Jie , Zhang Kai
Published: September 2013

At present, there are many commonly used maximum power point tracking (MPPT) control methods for solar photovoltaic system which have different degrees of output fluctuations. In order to solve the problem and improve the response speed further, a novel MPPT algorithm based on the extreme learning machine was put forward in this paper. Using the extreme learning machine which has small error, fast speed and simple structure train a mathematical model with the environmental temperature and light intensity as input and the maximum power point as output, the model can be used as the controller of the photovoltaic cells. The simulation results show that the error of the model meets the requirements, when the ambient temperature and light intensity change, it can respond quickly so as to photovoltaic cells work at the maximum power point and operate stably.
Annealing Partheno-Genetic Algorithm for VRP with Soft Time Windows
Authors: Fang Qun , Mei Dong
Published: September 2013

In order to resolve the vehicle routing problem with soft time window, a kind of Partheno-genetic Algorithms combined with Simulated Annealing was proposed in the paper, inverse operator and 2-change operator were presented.Centre point was replaced by the dummy natural number, then it is easy to made use of the available methods using by TSP. A selection method with tournament of three copies can keep the diversity of population. The simulation results show that new algorithm can effectively resole VRPTW, and get better results than common GA, new algorithms searching efficiency and convergence probability are effectively enhanced.
Research on Building Earthquake Disaster Simulation
Authors: Pang Guo Li , Chen Dan Qi , Huang Meng
Published: September 2013

In this paper, we present a building earthquake disaster simulation system. The system can estimate the destruction of buildings by different earthquakes, and analyze the quake-proof ability of different buildings. Moreover, based on the multi-input method of certain dynamical analysis, the system uses 3D, GIS, and VS.NET, and implements a building earthquake disaster simulation platform, which can present the destroyed results visually.
Computing Resource Allocation for Enterprise Information Management Based on Cloud Platform Ant Colony Optimization Algorithm
Authors: Liang Ying , Rui Qiu Peng , Xu Jie
Published: September 2013

The paper allocated a method to optimize the management pattern under cloud computing environment according to the current situation of Enterprise Information Management. The method used Ant Colony Optimization (ACO) as basic foundation to satisfy the property of Cloud Computing. CloudSim was also set up as the simulation to imitate the cloud environment and the test of computing. The algorithm prognosticated the capability of the potential available resource node when being allocated and analyzed the usage of bandwidth, the quality of networks and the response time. This algorithm met the needs of limitation of resource with better performance and has shorter response time.
A Novel Method for Instance Level Schema Matching
Authors: Han Yu Xiang
Published: September 2013

nformation integration refers to the problem of merging, coalescing and transforming autonomous heterogeneous data sources into a single global homogeneous database and providing a unified view of these data for future query processing purposes. One of the fundamental operations in the integration process is schema matching, which takes two schemas as input and produces a mapping between the attributes of the two schemas that correspond semantically to each other. Matching techniques can be grouped into two broad categories: schema-level matching and instance-level matching. In schema-level matching, we consider only the properties of schema elements, such as names, descriptions, data types, constraints and structures. For each match candidate pair of attributes, the degree of similarity is estimated by a normalized numeric value between 0 and 1. On the other hand, instance-level matching employs information available in the data contents of each table to determine the relationship between any two attributes. In this paper, we propose a statistical model to compare the likeliness of two lists of values under two attributes from separate databases, in order to derive the similarity ratio of the two attributes. Our framework provides efficient procedures to compute the degree ratio using statistical coefficients for both categorical and numeric attributes.
An Initial Point Selection Algorithm for K-Means Clustering
Authors: Bai Le Qiang , Zhou Yan Yao , Zhang Shi Hong
Published: September 2013

Aiming at the problem of K-Means algorithm which is sensitive to select initial clustering center, this paper proposes a kind of initial point of K-Means algorithm. The algorithm processes the properties of the data objects, which determines the density of data object by counting the number of similar data objects and selects the center of categories according to the density of data object. The cluster numbers given and the UCI standard sets of data and the random data sets used, the clustering results demonstrate that the proposed algorithm has good stability, accuracy.
A Improved Screening Algorithm of the Dynamic Probability
Authors: Li Chun Jie , Li Hong Bo , Wang Rui , Li Dian Kui
Published: September 2013

In the network era of popular, through the network selection activity is common, so the application of screening technology is also very wide range of. Especially in screening a number greater than the rated number of cases, the screening technology is showing its importance. For example, the number of candidates than hiring, colleges and universities for elective course number is greater than the number of limited choice, shopping or game site timed for coupons, free trial or open activities. This paper improves the overall average probability distribution algorithm according to the number of remaining time of uniform distribution, the selected probability prediction more accurate, so that more uniform screening results.
Global Dynamics of a HIV Infection Model with Delayed CTL Response and Cure Rate
Authors: Yang Yan Yan , Wang Hui , Hu Zhi Xing , Ma Wan Biao
Published: September 2013

In this paper, we have considered a viral infection model with delayed CTL response and cure rate. For this model, we have researched the stability of these three equilibriums depend on two threshold parameters and , that is, if , the infected-free equilibrium is locally asymptotically stable; if , the infected equilibrium without CTL response is globally asymptotically stable; and if , the infected equilibrium exists, at he same time, we have found that the time delay can lead to Hopf bifurcations and stable periodic solutions when the is unstable.
Soma Evolutionary Algorithm Used for Chromium Sludge Regeneration Process
Authors: Novosad David , Macků Lubomír
Published: September 2013

Two different approaches are used to control a semi-batch nonlinear reactor dealing with the significant exothermic reaction. This paper compares evolutionary approach represented by the Self - Organizing Migrating Algorithm (SOMA) with PID pole placement controller (PIDPP). The aim of controlled process is to regenerate the largest amount of chromium filter cake (chromium sludge) in the shortest possible time. For safety reasons the temperature inside the reactor should not exceed 100 °C. In this study the reactor is controlled by two manipulating inputs: filter cake feeding flow rate and cooling water temperature. The speed of the whole process depends on the filter cake feeding flow rate in case of a large amount filter cake addition a sharp temperature rise follows. The controller must be able to find optimal strategy between the filter cake dosing and the cooling temperature to reach the shortest possible process time. The SOMA optimization algorithm was created in Mathematica, PIDPP in Matlab/Simulink.
Spatial Information Based on the Multi-Objective Programming of Fuzzy Kernel Clustering Image Segmentation Algorithm
Authors: Zhao Xue Zhang , Qi Ming , Feng Yong Yi
Published: September 2013

Fuzzy kernel clustering algorithm is a combination of unsupervised clustering and fuzzy set of the concept of image segmentation techniques, But the algorithm is sensitive to initial value, to a large extent dependent on the initial clustering center of choice, and easy to converge to local minimum values, when used in image segmentation, membership of the calculation only consider the current pixel values in the image, and did not consider the relationship between neighborhood pixels, and so on segmentation contains noise image is not ideal. This paper puts forward an improved fuzzy kernel clustering image segmentation algorithm, the multi-objective problem, change the single objective problem to increase the secondary goals concerning membership functions, Then add the constraint information space; Finally, using spatial neighborhood pixels corrected membership degree of the current pixel. The experimental results show that the algorithm effectively avoids the algorithm converges to local extremism and the stagnation of the iterative process will appear problem, significantly lower iterative times, and has good robustness and adaptability.
Application of Data Flow Diagram on Simulation Software Test Case Generation
Authors: Qi Xin Zhan , Sun Chun Sheng , Dong Yan Hong
Published: September 2013

In the virtual training simulation software, users through graphical interfaces to fullfill information exchange. By adopting the method of black box testing, treating the virtual training simulation software as a black box and input data to drive the software running, could test the interaction of graphical interface. The test case generation method based on data flow diagram (DFD), which is characterized to form a complete set of test cases and cover the entire path of the program, could improve the efficiency of the test and ensure the reliability of the test results.
Research on GA-DPSO Virtual Machine Scheduling Algorithm Based on Comprehensive Utilization of Host Resource
Authors: Huang Shu , Yang Jing Bo , Ding Hui Jie
Published: September 2013

Virtualization technology has been widely used. Modern data center uses different equipments to support a large number of business systems. Whether the resources scheduling of virtual machine can be realized has become a very important issue, which will reflect the data centers management level of intelligence, intensiveness and automation. On the basis of comprehensive utilization of the physical machines various resources, the algorithm combines the advantages of genetic algorithm with particle swarm optimization algorithm, with reference to model of load balancing scheduling system, constantly adjusts to the load on the host, and consequently achieves the optimum balance of comprehensive utilization rate of different host resources.
Simulation on K-Means Optimum Clustering Mining Algorithm Based on Slope Classification
Authors: Zhou Si Jin , Wu Shou Jian , Jiang Hao
Published: September 2013

The efficient data mining algorithm was researched in this paper, according to the massive data in the database, the efficiency and the fluency of the data mining should be attached much importance in the research. And yet at the same time, the precision of mining algorithm should be improved. Combing with the genetic algorithm and K-means clustering algorithm, an improved data mining algorithm was proposed. In the new algorithm, the slope factor was taken in advantage, then the phenomenon that the smaller classification caused the less optimum solution was avoided, and the defects of the two algorithms are offset. The mining simulation and experiment was taken based on the different databases with different sizes of data. Simulation result shows that the new algorithm based on the slope factor K-means clustering genetic method can solve the data mining problem for the large data base. The data mining result is much more precise than the traditional method. Research result shows the improved algorithm has predominant prospect in application, and it has good value in the engineering practice.
Data Speech Coding Design Algorithm Based on DSP Technology
Authors: Yan Kai Feng
Published: September 2013

With the development of digital information technology, speech coding enhances its development rapidly and plays an important role. Especially the speech coding algorithm, which has low bit rate and high quality, provides qualified multimedia services based on limited channel width. The paper studies the application of DSP technology of TMS320VC5509 in data speech coding algorithm, the overall plan of coding design, AIC23 interface design and coding algorithm. Based on these studies, it explores the optimization of coding algorithm and analyzes algorithm according to optimization results.
Research on Vehicle Routing Problem Models and Algorithms of Batteries Logistics Distribution for Electric Vehicle
Authors: Wang Meng , Liu Kai , Jiang Zhu Long
Published: September 2013

The battery quick exchange mode is an effective solution to resolve the battery charging problem of electric vehicle. For the electric vehicle battery distribution network with the battery quick exchange mode, the distribution model and algorithm are researched; the general mathematical model to take delivery of the vehicle routing problem with time window (VRP-SDPTW) is established. By analyzing the relationship between the main variables, structure priority function of the initial population, a new front crossover operator, swap mutation operator and reverse mutation operator are designed, and an improved genetic algorithm solving VRP-SDPTW is constructed. The algorithm could overcome the traditional genetic algorithm premature convergence defects. The example shows that the improved genetic algorithm can be effective in the short period of time to obtain the satisfactory solution of the VRP-SDPTW.
Vapor-Liquid Equilibria for the Ternary System Ethyl Acetate-Acetonitrile-1-Octyl-3-Methylimidazolium Tetrafluoroborate
Authors: Shi Xiu Min , Wang Min
Published: September 2013

In order to research the possibility of separating the azeotrope of ethyl acetate + acetonitrile with ionic liquid as the extractant. Isobaric vapor-liquid equilibria for the ternary system ethyl acetate + acetonitrile + 1-octyl-3-methylimidazolium tetrafluoroborate ([OMIBF4) were measured at 101.32 kPa using a recirculation still. The results showed that the VLE of the ternary system was different from that of the binary system. The ionic liquid (IL) studied showed a slight crossover salt effect, which changed the relative volatility of ethyl acetate to acetonitrile and eliminated the azeotropic point when the mole fraction of IL in the liquid phase was greater than 0.05. Therefore, [OMIBF4 can be used as the extractant of extractive distillation for ethyl acetate + acetonitrile system, the suitable mole fraction of [OMIBF4 is about 10%.
Calculation and Applied Research of Satellite Solar Radiation Pressure Torque
Authors: Liu Xiao Peng , Wang Wei Wei , Chen Xiao Ni
Published: September 2013

Satellite solar radiation pressure torque is one of the major long-term interference after the satellite finishes positioning and starts to working. However, there is no method to verify the calculation of solar radiation pressure torque. This paper is to analyze the in-orbit telemetry data of satellite DFH-3. Based on the results of data fitting and pressure torque calculation, the paper aims to test the accuracy of the calculation methods.
Study of Badminton Net Shot Technology Based on Dynamics
Authors: Lin Min
Published: September 2013

In the sport of badminton, net shot is one of the extremely important technologies. With the continuous development and innovation of badminton sport, net technology has been paid more and more attention to. In addition, in many badminton games, it has become an important technical means to change active to passive by taking effective use of net shot changes. Firstly, this paper elaborates the division of badminton net technology area and technology selection. And then, based on this, combined with the principle of aerodynamics, this paper makes an analysis on the dynamics of badminton net techniques. At the same time, this paper also makes an analysis on the dynamics of net ball chop technique. Thus, to some extent, it provides theoretical basis and technical guidance for the teaching and practice of badminton net shot.
Synthesis of Hydroxyapatite Microspheres with CAPB as Template
Authors: Lin Xiao Xuan , Qin Xuan , Yao Qiu Ling , Wu Shan Shan , Xiao Xiu Feng
Published: September 2013

Porous hollow hydroxyapatite (HA) microspheres were synthesized by Chemical Precipitation process using Ca (NO3)2·4H2O and (NH4)3PO4·3H2O as reagents and the CAPB as organic template. With increasing the amount of CAPB, the morphology of HA varies from irregular floccule to the rod form the spherical prototype and then grow into porous hollow microspheres. Furthermore, the possible formation mechanism of morphology change is also discussed.
Study for Intelligent Simulation Framework Structure of Equipment Support System Based ACP-Approach
Authors: Zhang Shou Yu , Guo Shi Zhen
Published: September 2013

Research of wartime equipment support simulation faces complex and great challenges. It is very difficult to describe, design and finish the complex giant equipment support simulation system with the traditional simulation and model methods. Proposing a new framework structure based on ACP (artificial systems and computational experiments and parallel execution) approach to solve the complexity giant simulation of RESS (real world equipment support system). Including agent-based model analysis, computational experiments and decision-making problems and etc and discuss an ESASS (equipment support artificial simulation system) platform framework. The work can provide an actionable guidance to equipment support practice simulation research.
Experimental Research of the Intelligent Evacuation Inducible System in Building Fire
Authors: Ran Hai Chao , Sun Li Hua , Gao Xiao Zhi
Published: September 2013

When a fire or other emergency situation occurs, the intelligent evacuation inducible system is an important means for crowd to evacuate or escape. The factors, such as correct choice of escape routes, to overcome the fear psychology and reasonably avoiding obstacles, have big effects on reaching a safe exit for crowd evacuation. In order to verify the effectiveness of the intelligent evacuation inducible system, a "black house" experiment platform is established in this paper. The time of the fire to reach a dangerous moment is obtained by setting different fire scenarios and using the CFAST method. The actual safe evacuation time is also obtained by several evacuation experiments with different groups of people. According to the time criterion, the interaction mechanism of intelligent evacuation inducible system and crowd evacuation behaviors is analyzed.
Study of Airship Stability Based on a Low Resistance Profile
Authors: Gu Shou Chao , Liu Dong Xu , Wang Yu Fu
Published: September 2013

Numerical simulation was conducted to investigate the external flow around airships with different tail layout, with the help of FLUENT 14.5, based on the incompressible Navier-Stokes equation and SST turbulent model. The aerodynamic information of the airships with different tail layout, such as pressure coefficient, torque coefficient and pressure distribution, were analyzed, and the numerical results showed the details of the airship surface flow and changes with different attack angle. According to the results, different tail layout had important influences on the aerodynamics and stability of airship. This will help to understand the aerodynamic characters around the tails of the stratospheric airship, and provide a reference in choosing tail layouts and the stability design of airships.
Multi-Standards Deblocking Filter Based SIMD Technology
Authors: Jia Tao
Published: September 2013

Due to real-time video decoding requirements, hardware accelerators for video deblocking filtering has gradually become a research hotspot in recent years. Compared with the traditional deblocking filter hardware accelerators which support only single video coding standard, this paper implemented a deblocking filter structure, which filtering algorithm can be configured to support multiple video coding standards; Using SIMD technology to make filtering data fully parallel computing. This structure is a multi-standard deblocking filter accelerator, supports H264, AVS, VP8 to, RealVideo, four kinds of video coding standards. The clock frequency is 200MHz, and it can be used for real-time filtering of multi-standard HD video processing.
Deblocking Filter Algorithm
Derrick Spectrum Analysis Based on ANSYS
Authors: Wang Kai Song , Liu Guo Qing
Published: September 2013

The existing mine derrick design only includes the guiding principles and the empirical formula, but has no the mechanism of structural dynamics characteristics under an earthquake conditions. Then the modal analysis and spectral response analysis of the derrick have been finished for gaining the derrick natural frequency, mode shapes, and time response curve based on ANSYS in the thesis. The analysis results provides important basis for the anti-seismic design, optimization design and avoiding resonance.
Application of Immune Algorithm on Input Variable Dimension Reduction in Neural Network Modeling
Authors: Dai Qing Ling
Published: September 2013

When the input variables are not mutual independence, it is easy to arise over fitting phenomenon using neural network modeling. So it leads to not only low accuracy of the proposed model but also the long time of modeling .In this paper using immune algorithm to optimize the input variables and selection, The simulation results show that the established model after optimization improves the performance, increases the accuracy and shortens the time of the modeling. Which shows that this algorithm can be effectively reduce the dimension of input variables of neural network.
The Analysis of Energy Conservation Venture Investment in a Limited Partnership Based on the Game Model of Human Capital
Authors: Zou Zu Xu , Xue Yun Xia
Published: September 2013

In the paper, we start with the game theory, by building the game theory model of Venture Capitalist (human capital owner) and Venture Investor (physical capital owner),and with the analysis and derivation of the game theory model , conclusions can be got that Venture Capitalists should share the enterprise property rights and so on. Then some researches are made to know whether limited partnership system arrangement reflects the idea that Venture Capitalists should share the enterprise property rights. At last, some ways are known for Venture Investors to realize their maximum benefits.
Kinetics and Thermodynamics of Adsorbing Ni2+ from Waste Water onto a New Type Treated Attapulgite
Authors: Jiang Ding Yun , Shi Ying Ying , Feng Liang Dong , Yuan A Qing
Published: September 2013

A new method is proposed to treat attapulgite by freeze-dying and heating process. The photos of Scanning Electron Microscopy (SEM) on treated attapulgite show higher dispersion properties. TG and DSC curves of raw attapulgite and treated attapulgite indicated the contents of adsorption water, zeolite water and complexing water in the treated attapulgite are less than that of raw attapulgite. The test results of Nickel adsorption indicated the adsorption mechanism could be better described by pseudo-second order model and the thermodynamic curve of adsorption could be described with Langmuir model.
An Effective XML Identifying Feedback Documents Method Based on Two-Stage Ranking Model for Pseudo-Relevance Feedback
Authors: Zhong Min Juan
Published: September 2013

Although pseudo relevant feedback is an effective query expansion method, query drift away from the topic has been occurred frequently. Therefore, the first important problem is how to identify relevant documents in the top retrieved set and form the good feedback source. In this paper, an effective XML identifying feedback documents method is proposed, in which a two-stage ranking model is presented and the relevant XML documents are found. The experiment results show that the proposed method is reasonable and the quality of feedback source is ensured.
Research on Characteristics of Horizontal Atmospheric Diffusion Coefficient Based on BP Neural Network
Authors: Shang Pin , Wu Cheng Dong , Han Ren Ke , Ma Wen Jia
Published: September 2013

In order to obtain the actual characteristics of horizontal atmospheric diffusion direction, based on Gauss plume model and the measured data, we use BP neural network to fit the characteristic curve of the diffusion coefficient. We establish a BP neural network, and then we train the network and simulate the diffusion coefficient. According to the simulation results, we compare the characteristic curve with the curve based on the least square method. And the results show that the characteristic curve based on BP neural network has better fitting accuracy. Hence, using the trained neural network to predict the diffusion coefficient has certain theory meaning and actual application value.
Design and Research of Remote Terminal Unit Based on Light Weight IP Stack
Authors: Meng Kai Yuan
Published: September 2013

This paper puts forward a design scheme of remote terminal unit for oil-gas storage and transportation fields, adopts AT91SAM7X256 and DM9000A chip as the core hardware platform, accomplishs the Light Weight IP network protocol transplantation into the hardware platform, implements remote access and control functions from the host computer to the RTU through Internet.
Research on Grouping Strategy Firewall Technology
Authors: Jiang Li Zhu , Liu Xiu Ping
Published: September 2013

With the more and more complex computer network structure, security requirements are increasingly stringent and delicate. This paper based on the IEEE 802.1Q standard, Netfilter framework, proposes using use vlan technology, linux 802.1Q kernel module, designs the plan of Grouping Strategy Firewall to realize the security policies to configure the demands from the same level in different vlan, meets the security needs for different levels of the different networks and different business lines.
Gateway Station Architecture of Satellite Access Networks for IMS-Based Core Networks
Authors: Huang Yu Fen , Zhang Xiao Ning , Lan Hong Guang , Wu Jian Jun
Published: September 2013

In this paper, an architecture of gateway of satellite access networks is designed for accessing to IP Multimedia Subsystem (IMS) core networks, and the architecture of QoS is proposed to control and manage the IMS accessing QoS procedure. To reduce the delay of signaling transmission, an enhanced session initial protocol (SIP) is simplified for adapting to the satellite scenario.
Research on Supporting Platform for Enterprise OA Software System
Authors: Chen Xiao Ji , Liu Jing Zhong , Qiao Li Ping
Published: September 2013

With the development of information technology, OA system has become an important means to improve the management level. For secondary development problems in the process of the implementation of the OA system, the enterprise OA software system supporting platform key technology was studied. First, given graphically enterprise OA system structure; then researched e-collaboration platform, achieved different types of data sharing and exchange; then studied directory service platform, including client / server model of directory services and directory services structure; Finally, data exchange platform, takes advantage of XML data exchange technology to make data exchange simple and convenient. The content of this study, for the development of OA system provides a good solution, and laid the foundation for rapid development.
Research on the Spatial Variability of Soil Nutrients Prediction Based on GIS
Authors: Qin Zi Han
Published: September 2013

Soil is a necessary nutrition library of crop growth, its nutrient spatial variability exists the whole crop growth period with the characteristics of long and complex, so the spatial variability of soil nutrient prediction is one of the hot research problems to be urgently solved in precision agriculture. This paper first introduces GIS and statistical analysis organic combination of research method and model, on the basis of this, based on GIS spatial data level of analysis and point-line-side buffer, we will accurate analysis of point-line-sides mutation interval through the variation Euclidean distance and distance weighting interpolation method. Finally through the comparison of mean value and T test, we can predict the approximate interval of soil nutrients spatial variability, to a certain extent, it can provide theory and technology support for the scientific prediction of soil nutrients spatial variability.
Research on Network Partitioning Based on Expanded Grey Cluster Theory
Authors: Shao Ya Ning , Wang Bo , Liu Di Chen
Published: September 2013

the voltage stability discriminant method of short circuit capacity indicators based on measured trajectory needs a great deal of computation time while dynamic Thevenin equivalent need to be done to all the nodes, it is unable to meet the requirements of rapid real-time sentenced to stability. On this foundation, this paper proposes a quick network partitioning method. Firstly, start the real-time disturbance identification criterion and pick up the bus nods triggered by the disturbance. Then split the bus nods into k subsets using Expanded Grey Cluster method. Finally evaluate stability by parallel computing. The method is proved simple, efficient and practical through simulation.