bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Variable Structure Control on Muti-Axle Vehicle Steering System
Authors: Liu Cui , Yu Lei , Gao Xiu Hua
Published: August 2013

On the basis of multi-axle vehicle 3-DOF dynamic model, and using leaning stiffness of each wheel and external disturbance as uncertainty parameters, variable structure control theory was used to make the actual variable model track the optimal theoretical model primely. The results of the simulation indicate that this method is feasible, and the impact to the system stability from parameters perturbation and external disturbance could be overcome by this control system.
Nonlinear Adaptive Feedback Control for Spacecraft Proximity Formation Flying
Authors: Xi Tao , Li Jian Cheng , Pan Wei Quan
Published: August 2013

Spacecraft proximity formation flying is essential for future autonomous space mission such as autonomous rendezvous and docking and assembly of space system on-orbit. In order to improve the autonomy of relative motion control between two spacecrafts and concerning the effect of perturbation by bounded uncertain disturbance, a novel nonlinear adaptive feedback controller is developed based on sliding mode control law to maintain the desired reference trajectory as precisely as possible. The simulation results demonstrate the control scheme can effectively carry out the relative motion maintenance and have better asymptotically stability.
In-Plane Shear Damage Prediction of Composite Sandwich Panel with Foam Core
Authors: Mostafa A. , Shankar K.
Published: August 2013

The present study deals with the shear behavior of the composite sandwich panels comprised of Polyvinylchloride (PVC) and Polyurethane (PU) foam core sandwiched between Glass Fiber Reinforced Polymer (GFRP) skins using epoxy resin. Experiments have been carried out to characterize the mechanical response of the constituent materials under tension, compression and shear loading. In-plane shear tests for the sandwich panel reveal that the main failure mode is the delamination between the skin and the core rather than shearing the core itself since the skin-core interaction is the weakest link in such structure. The Finite Element Analysis (FEA) of the sandwich structure, based on the non-linear behavior of the foam core and skin-core cohesive interaction, shows that shear response and failure mode can be predicted with high accuracy.
Controlled Rolling and Controlled Cooling Technology of Fe-C-Mn-Si Multiphase Steel
Authors: Li Zhuang , Wu Di , Shao Ming Fu
Published: August 2013

In the present paper, controlled rolling and controlled cooling of Fe-C-Mn-Si multiphase steel was conducted by a laboratory hot rolling mill. The results show that ferrite (grey), granular bainite (black) and retained austenite (white) and/or MA islands (white) are observed in a color etched LOM micrograph. The presence of the retained austenite is confirmed by SEM observation. Controlled rolling and controlled cooling technology contributes to the improvement of the microstructure. Excellent mechanical properties for Fe-C-Mn-Si multiphase steel are attributed to the TRIP effect of the stable retained austenite.
Synthesis of Ultrafine Spherical Yttrium Aluminum Garnet Powders from Yttrium Nitrate and Aluminum Nitrate System
Authors: Xu Xiao Juan , Sun Xu Dong , Li Ji Guang , Li Xiao Dong , Huo Di , Liu Shao Hong
Published: August 2013

Ultrafine spherical yttrium aluminum garnet (YAG) powders have been synthesized via homogeneous precipitation method using urea as the precipitant. The precursor powders were calcinated at 1000°C or 1100°C for 4 hrs and then were studied by means of FE-SEM, XRD, FT-IR and TG-DTA. The result shows that the amount of ammonium sulfate has a significant effect on morphology and particle size of powders. Pure phase and spherical YAG particles with 350 nm in diameter can be obtained when the molar ratio of ammonium sulfate to aluminum nitrate is about 0.75 and the concentration of the metallic ions is 0.008M.
Spay Pyrolyzed Nanostructured Tin Dioxide Thin Films Doped by Cobalt: Correlation between Structural and Gas Sensing Characteristics
Authors: Korotcenkov Ghenadii , Boris Iulia , Brinzari Vladimir , Cho Beongki
Published: August 2013

Effect of Co-doping on gas sensing, electrophysical and structural properties of the SnO2films deposited by spray pyrolysis has been studied. It is found that the influence of Co-doping on parameters of the SnO2-based gas sensors depends on the concentration of doping additives and could be accompanied by either improvement of sensor parameters at low levels of doping (CCo< 2-4 %) or degradation of the gas sensor operation characteristics while the concentration of additives exceeds 2-4%. An explanation of observed effects is given.
Flow Simulations for NASA CRM Wing-Body-Tail with Implicit Hole Cutting Method
Authors: Xu Jia , Qu Kun , Cai Jin Sheng
Published: August 2013

The overset grid method eases the time of grid generation and provides great flexibility to handle topologically complex configurations, but the generation for a system of overlapping grids is an expensive and daunting task. Based on a hierarchical overset grid strategy, implicit holt cutting method developed to ensure grid connectivity within a framework suitable for multi-grid. Viscous flows around NASA CRM wing-body-tail configuration were simulated by an in-house CFD solver called Exstream. Compared with CFL3D and OVERFLOW, The results of Exstream show that: the smooth transition of surface pressure contour in the overlapping region indicates that the interpolation between the overlapping grids can offer sufficient accuracy, and it demonstrates the accuracy and efficiency of implicit holt cutting method and Exstream solver. The lift data matches well with those of CFL3D, OVERFLOW and Exstream and follows a nearly linear trend as angle of attack varies from 0.00 to 3.00 deg. In addition, there is a flow separation bubble near the trailing edge of wing-fuselage junction.
A Multibody Dynamical Model for Full Hole Drillstring Dynamics
Authors: Cheng Zai Bin , Jiang Wei , Ren Ge Xue , Zhou Jian Liang , Jiang Shi Quan , Yang Cai Jin , He Bao Sheng
Published: August 2013

The research on drillstring dynamics is necessary for improving drilling efficiency and safety. In this investigation, a multibody dynamical model for 3D full hole drillstring system is presented based on the Absolute Nodal Coordinate Formulation (ANCF). The drillstring is modeled with the ANCF beam element. The absolute nodal coordinate formulation of the beam element as well as the boundary conditions at the top-drive and drill-bit, and the contact/friction model between drillstring and wellbore are also investigated. The dynamic governing equation for full hole drillstring system is given and solved by the backward differentiation formulation (BDF) for differential algebraic equations (DAEs). The developed multibody dynamic solver is capable of analyzing full coupled vibration for the full hole drillstring system. It can play a certain role in drillstring dynamics researches and engineering applications.
Forecasting Residual and Operating Stress in Soldering Cutting Tools with Tungsten-Free Hard Alloy Inserts
Authors: Valentov A.V. , Konovodov V.V. , Agafonova Е.V.
Published: August 2013

The results indicate a reduction of defects in soldering turning tools through optimal dimensions of a solder. In this paper stress in a flat insert is calculated and the results of laboratory tests of cutters iron-carbon soldered are presented. The optimal dimensions of the solder are selected according to calculations conducted
Reliability of the Steering Gear of Truck Vehicles
Authors: Chernukhin R.V.
Published: August 2013

Findings concerning wear process of steering gear joints of the truck vehicles are provided. Characteristics of probability of no-failure operation as a function of wear rate of steering joints and pivot connections are determined.
Characterization of Deformation Pattern Structure Elements Generated in Uniaxial Compression of Nickel Single Crystals
Authors: Alferova Ekaterina A. , Lychagin D.V.
Published: August 2013

Deformation pattern parameters have been studied on the faces of nickel single crystals using microinterferometer NewView 7200. The magnitude of shear displacement in structural elements of the deformation pattern has been determined. As shown, the shear traces transform into accommodation bands, meso- or macrobands as dependent on single crystal orientation with respect to load.
Measuring Stress Condition in Hard Faced Work Rolls for Cold Rolling
Authors: Malushin N.N. , Valuev D.V.
Published: August 2013

The paper proves that it is possible to use grooving to measure volume and type of residual stresses distribution in hard faced hard faced work rolls for cold rolling with high hardness of an active layer.
Creation of Ceramic Nanocomposite Material on the Basis of ZrO2-Y2O3-Al2O3 with Improved Operational Properties of the Working Surface
Authors: Nekrasova T.V. , Melnikov A.G. , Martyushev N.V.
Published: August 2013

In article questions of receiving high-strength ceramics on the aluminum oxide and zirconium dioxide nanopowders basis are considered. As questions of strength properties increase of a ceramic samples surface are studied by ionic implantation methods.
Simulating Liquid Dynamics by a Particle-Based Method
Authors: Zou Ling
Published: August 2013

There is much research focusing on natural phenomena simulation in virtual reality and computer graphics. Liquid is chosen as our research object, because it is one of the most common natural phenomena. A particle-based modeling method for dynamic liquid simulation is presented in this paper. In our approach, accurate solutions for the Navier-Stokes equations are first accomplished in an Euler-based grid at each time step. This returns a velocity field calculated based on the pressure solved from a converted Poisson equation. Finally, particle movements are advected through this velocity field in order to simulate the dynamics of fluid volume. Experiment shows that visual effect which can satisfy users requirement is achieved by this method. This application has promising potentials in the areas of movie making, computer games, virtual construction and virtual simulation in medicine, etc.
The New Criterion for Determining Nonsigularity of Matrices
Authors: Sang Hai Feng , Li Qing Chun , Li Xin Min
Published: August 2013

We discuss the problem of nonsingularity of complex partitioned matrices and give the new criterion for determining nonsigularity of complex partitioned matrices and irreducible partitioned matrices by the additive approach. And we obtain the new condition for a matrix to be a positive stable matrix.
The Research of Intelligence Data Mining Oriented to Battlefield Situation Assessment
Authors: Liu Jing Xue , Tang Wei
Published: August 2013

Battlefield situation assessment (BSA) has a positive significance on improving the efficiency of commanding decision-making, moreover, BSA cannot be made successfully without the support of some integrated and exact intelligence data. In this paper, basing on the demand of identifying the battlefield situation, the corresponding knowledge context database is first discussed; on this basic, construction of the intelligence data warehouses framework is explored. Then, from the view of a holistic conception, the study of data mining based on the intelligence data warehouse is made, and a detailed arithmetic is presented by making use of the tactic from data mining driven fishbone (DMDF).
Network Layer Network Topology Discovery Algorithm Research
Authors: Ge Jian Xia , Xiao Wen Ya
Published: August 2013

Along with the development of the network information age, people on the dependence of the computer network is more and more high, the computer network itself the security and reliability of becomes very important, the network management put forward higher request. This paper analyzes two algorithms of the network layer topology discovery based on the SNMP and ICMP protocol, based on this, this paper puts forward a improved algorithm of the comprehensive two algorithm, and makes the discovery process that has a simple, efficient, and has a strong generalization, and solved in the discovery process met the subnet judge, multiple access routers identification.
Analysis and Simulation on Automobile Airbag Compression Test
Authors: Gao Yun , Zeng Xian Heng
Published: August 2013

During the compression test of automobile safety airbag, traditional methods cannot analyze the process with detail, because it takes human, vehicle and airbag as a macrocosm, so it cannot give out the instantaneous diversification. The method of finite element analysis was used to show the detailed process with infinitesimal analysis, with which, precise model is build. The curve of air pressure varies with time, the Volume of airbag varies with time and the Acceleration curve varies with time was analyzed. The outcome showed that this method can analyze the process action of airbag perfectly, and maybe it can guild the improvement of the airbag design.
The Application of Simulation Technology in the Inventory System
Authors: Li Zhan , Xue Da Shen
Published: August 2013

For a long time, the mathematical model is used to describe the systems characteristics and acquire the solutions, so it gradually develops into a modern computer simulation technology, and it can be used to solve many problems which are complex and unable resolve use mathematical methods. Witness modeling simulation software is applied in this article, and examples analysis is put forward in view of the logistics system of inventory control, finally making the models on the part of the module, whats more, it analysis the data and makes the optimal strategy.
A Comparative Analysis of the Direct Clustering Algorithms Based on Different Similarity Measure of Vague Sets
Authors: Wei Wang , Peng Jin Yue
Published: August 2013

In the research and development of intelligence system, clustering analysis is a very important problem. According to the new direct clustering algorithm using similarity measure of Vague sets as evaluation criteria presented by paper, the Vague direct clustering method are used to analysis using different similarity measure of Vague sets. The experimental result shows that the direct clustering method based on the similarity of Vague sets is effective, and the direct clustering method based on different similarity measure of Vague sets is the same basically, but difference on the steps of clustering. To select different algorithms according different conditions in the work of the actual applications.
Sensing Confidence Level-Based Cooperative Spectrum Sensing Algorithm
Authors: Zhang Shi Ding , Wang Hai Lian , Mei Jing Ping
Published: August 2013

Cooperative spectrum sensing is a key technology to tackle the challenges such as fading or hidden terminal problem in local spectrum sensing of cognitive radio system. Conventional cooperative method can improve the detection performance in some sense, but increase overhead of control channel. In order to reduce the overhead, a new cooperative spectrum sensing algorithm based on confidence level is proposed. In this algorithm, the maximum-eigenvalue-based detection scheme is carried out to obtain the local spectrum detection and the detection probability and false alarm probability of each secondary user are used to estimate the reliability of the sensing decision. The test statistic of the secondary users with high reliability are chosen and sent to fusion center. Then weighted factors of chosen secondary users are derived from creditability values, and the global decision is made by weighted fusion at fusion center. The simulation results show that the proposed algorithm improves the detection probability in the guarantee of the false-alarm probability close to 0 and saves half of the overhead in the control channel.
Ml-KNN Algorithm Based on Frequent Item Sets
Authors: Mao Jia Li , Jin Hong Ying , Li Ming Dong , Li Jia
Published: August 2013

In order to solve the problem of ignoring the correlation between class labels, this paper describes a new method for multi-label classification based on the frequent item sets to classify an unseen instance on the basis of its k nearest neighbors ( MLFI-KNN). For each unseen instance, MLFI-KNN takes its k-nearest neighbors in the training set and counts the number of occurrences of each label in this neighborhood, and then utilizes the FP-growth algorithm to obtain the frequent item sets between the labels that these neighboring instances include, in order to determine the predicted label set. Experiments on benchmark dataset demonstrate the effectiveness of the proposed approach as compared to some existing well-known methods.
A Ga Algorithm Based on Niche and Discrete
Authors: Gao Ting , Xu Yu , Xu Ting Xin , Li Shu Ai
Published: August 2013

To avoiding e the problem of premature convergence of GA algorithm, a novel algorithm was advanced based on niche and discrete. The improved GA algorithm use hierarchical coding and selection method in the classic GA to abundance the individual choices. Then use the multilevel optimization to quicken the algorithm. Tests show the new algorithm has better performance than classic GA in effect and time, especially suit to multi peak problems.
Research on the Data Mining System Based on B/S Framework and Algrotithm
Authors: Ding Hui , Liu Yao Zong
Published: August 2013

with the development of computer information science and technology, the acquirement and access of data from huge database become more and more convenient. Not all the algorithm of different database is the same. Data mining finds the method of characteristic demand data from a large amount of information. It searches data according to relevance and clustering of data. This paper presents a new data mining system---B / S framework and establishes rules of data mining algorithms and mathematical models using fuzzy membership function and Apriority algorithm. This paper establishes a set of data mining system related with subjects learn of driving school taking the driving school for example and using multi-layer B / S framework mathematical model and results of driving candidates. It also finds the importance of each study subject. It proposes data reference for the order of the learn subjects of driving school which provides a theoretical reference for the study of data mining algorithms and systems.
A Hole-Punching System for the Pot-Seedling Hole-Punching Machine
Authors: Guo Yi , Li Zhi Qiang , Shi Jin Chao
Published: August 2013

[Purpos in order to solve design problems of the hole-punching system for the pot-seedling hole-punching machine, a system featuring reliable operation, simple structure and stable performance has been designed in accordance with working requirements. [Metho MATLAB is used for accurate calculation of the cam profile, with the calculated results imported to SolidWorks to produce cam profile curves. Such curves are then modified according to working requirements, thereby to build a 3D model for the cam mechanism. Finally, a 3D model for the complete hole-punching system is built with SolidWorks. [Result The hole-punching system designed herein is applied to the pot-seedling hole-punching machine and after performance test has proven to be able to meet working requirements and work reliably. [Conclusion The design of this system can provide theoretical basis and reference for related research.
Continuous Entropy Estimation with Different Unsupervised Discretization Methods
Authors: Fang Jian , Sui Li Na , Jian Hong Yi
Published: August 2013

In this paper, we compare and analyze the performances of nine unsupervised discretization methods, i.e., equal width, equal frequency, k-means clustering discretization, ordinal, fixed frequency, non-disjoint, proportional, weight proportional, mean value and standard deviation discretizations in the framework of continues entropy estimation based on 15 probability density distributions, i.e., Beta, Cauchy, Central Chi-Squared, Exponential, F, Gamma, Laplace, Logistic, Lognormal, Normal, Rayleigh, Student's-t, Triangular, Uniform, and Weibull distributions.
Association Rules Mining Algorithm Based on Linked List
Authors: Zhang Lin , Zhang Jian Li
Published: August 2013

The paper gave a new association rules mining algorithm based on linked list at the traditional association rules mining algorithm which based on frequent item sets and always ignore the exception rules. The algorithm first scanned the database once and generated the association rules including frequent association rules and exception rules by uses the logical and set theory operations. After example analysis, the algorithm not only with high accuracy and low cost, but also can provide some reference data for exception knowledge mining by generate exception rules.
A Improvement for GNC Method of Nonconvex Nonsmooth Image Restoration
Authors: Liu Xiao Guang , Gao Xing Bao
Published: August 2013

Nonconvex nonsmooth potential functions have superior restoration performance for the images with neat boundaries. But the nondifferentiality could cause many numerical difficulties. Thus the graduated nonconvex (GNC) method is suggested to deal with these problems. In this paper, a class of nonconvex nonsmooth approximate potential functions have been constructed, which can help our get a better initial value of the original problem. The numerical results show the restored perfprmance of the proposed methods.
A New Prediction Method for Chaotic Time Series
Authors: Du Juan
Published: August 2013

In order to show the time cumulative effect in the process for the time series prediction, the process neural network is taken. The training algorithm of modified particle swarm is used to the model for the learning speed. The training data is sunspot data from 1700 to 2007. Simulation result shows that the prediction model and algorithm has faster training speed and prediction accuracy than the artificial neural network.
A New Approach on Stability for Linear Systems with Interval Time-Varying Delay
Authors: Li He , Xu Zhao Di , Liu Chang
Published: August 2013

This paper addresses the problem of stability for linear systems with interval time-varying delay. By using an optimized delay-decomposition approach and being based on Lyapunov stability theory and reciprocally convex lemma, we can get the delay-dependent stability criterion which can lead to much less conservative stability results compared to other methods for linear systems with time delay. A numerical example is given to show the effectiveness of the proposed criteria.
Application of Data Mining Technology for Charging System in Hospital
Authors: Liu Li Gang , Yi Chen Fu
Published: August 2013

Along with the development of artificial intelligent and computer science, data mining has become a powerful analytical tool to obtain the interested and important information from the amount of noisy and fuzzy data. In this paper, data mining technology is applied to the charging system in hospital. Usually, many unnecessary medical requirements are added to the treatment of patients, which could result in the extra pay and time for such treatment. Thus, this paper presents the definition of one-fee system in hospital for the common disease cases by applying data mining technology, in which, artificial neural networks and association rules (e.g., apriori algorithm) are presented. The presented one-fee definition might provide a reference for the charging system in hospital.
Implementation of Securing IPv6 Intranet Address Based on the Optimal Design Solution of Router
Authors: Jing Yuan
Published: August 2013

New router design solution optimized to use the IPv6 RA protocol packets is raised to meet the demand of the security of IPv6 intranet without weakening the end-to-end security of IPv6. Source addresses of nodes in IPv6 intranet change dynamically. That helps to hide the nodes addresses and protect the nodes against attack from extranet. No any additional modification is needed on the intranet nodes. Flexibility of administration and security of intranet is improved with this solution.
Research on Application of Linkage Learning Mechanism of "Player-Learner" - Exemplified by Programming Curriculums
Authors: Zhou Chun Liang , Qu Wei Qing , Cheng Ping , Zhao Yan Fei
Published: August 2013

With the popularization of computers, games remarkably effects the cognition, life & learning style of college students, more and more educators begin to interest themselves in applying such entertainment to students' practical learning. Educational games inherited the characteristics of traditional games, combining games with learning completely, which provides college education with excellent new ideas. The study combines the two roles of "players" & "learners" into one, constructing the linkage learning mechanism of "player-learner", which designs the gaming and learning platform based on Robocode.
LTE Network Parameters Optimization Based on Automatic Cell Planning
Authors: Lu Yun Fei , He Ming , Gao Xin
Published: August 2013

Wireless network optimization is an important link in the beginning of the wireless communication network construction process, which decides the construction of wireless communication network whether scientific. This paper focuses on the method and content of the LTE wireless network optimization, mainly involves in the planning process and key technologies of LTE wireless network. First, this paper discusses LTE network parameters optimization include PCI, Cells, RS, C\N and RSC\RSRP. Then, verify the scheme scientific based on Automatic Cell Planning. Finally, through the network experiment examine the feasibility of the scheme.
Research of the Association Rules Based on Cloud Database
Authors: Zhu Tian Xiang , Liu Xin , Zhang Xia , Zhang Dan
Published: August 2013

There is an immense amount of data in the cloud database and among these data, much potential and valuable knowledge are implicit. The key point is to discover and pick out the useful knowledge, and to do so automatically. In this paper, the data model of the cloud database is analyzed. The relationships among different areas in the data are then analyzed, from which the new knowledge can be found. The basic data mining model based on the cloud database is defined, and the discovery algorithm is presented.
Multidimensional Analysis of U-Learning
Authors: Wu Chuan Gang , Yu Hai Ying , Ma Li , Yu Yan Ling
Published: August 2013

Ubiquitous learning as a new concept has been accepted by more and more countries since it is proposed. Many countries are researching and practicing deeply which makes it develop rapidly. However, it lacks further research on its real connotation, advantages, trend etc. Ubiquitous learning will be the revolution of learning paradigm. We should research and understand the concept of U-learning, its advantages and its trend in a multi-dimensional point of view.
The Globally Asymptotic Stability Analysis of the Delayed Recurrent Neural Networks Stability Criterion via LMI Technique and Nonsmooth Analysis
Authors: Li Zhen Cai , Wang Yang
Published: August 2013

This paper considers the problem of globally asymptotic stability of the recurrent neural networks with time-varying delays. A linear matrix inequality (LMI) technology and Lyapunov functional method is employed by combing the means of the nonsmooth analysis. A few new sufficient conditions and criterions were proposed to ensure the delayed recurrent neural networks are uniqueness and globally asymptotic stability of their equilibrium point. A few simulation examples are presented to demonstrate the effectiveness of the results and to improve feasibility.
Experimental Research on Integration Teaching of inside and outside Aerobics Classes Based on Multimedia Technology
Authors: Du Lin Ying
Published: August 2013

With the development of multimedia and information network technology, physical education has broken the traditional teaching mode. Furthermore, teaching method and content have also been innovated. The process of sports teaching has not only been confined to the classroom. The class also implements the multimedia teaching process outside. Under this background, this paper has designed the manufacturing operation of aerobics multimedia teaching content by taking advantage of the WEB and VRML technology. At the same time, the vc++ programming software has also been used to control program so as to develop the multimedia network and interactive teaching platform for aerobics. In addition, it also gives the basic framework and module of multimedia teaching platform and realizes the process of integrating in-and-out-of-class teaching. Finally, this paper evaluates the feasibility and stability of the experimental teaching platform system. Experimental studies have shown that this kind of teaching is beneficial to exercise the students multi-dimensional thinking ability, and can develop their creative thinking, thus achieving the teaching effect that gym and learning can be unified.
Research and Application of Compressed Air Prediction Based on the Wavelet Neural Network
Authors: Li Li Zhen , Jiang Lin , Qian Hao , Guang Wen Hua
Published: August 2013

The wavelet neural network (WNN) is presented in the paper which based on the features of wavelet analysis and artificial neural network, and applied to predict the application of compressed air for an enterprise. The result shows that the precision of this model is quite effective. The model , therefore can be use to industry.
Study on Web Service based Equipment Maintenance Support Information System
Authors: Wu Jia Ju , Xu Yong Kang , Wan Zheng Jing , Yu Rong
Published: August 2013

Equipment maintenance support system is important for raising maintenance support efficiency. On the analysis foundation of equipment maintenance support demand, this paper carrys out function design for maintenance support system. SOA and Web Service based realize technical systematic Architecture is put forward. Then how to adopt Web Service and J2EE have been analysed briefly. Finally, actual problems in application course that may be met are discussed and the further research direction is showed.
Sink Mobility Based and Energy Balancing Routing Protocol
Authors: Ma Yu Fang , Wang Yan Li
Published: August 2013

In the wireless sensor network routing protocol design, the sensor node monitoring data in multi-hop relay approach to sink node for transmission. For sink aggregation node fixed network, the nearby sink nodes of sensor nodes need to transfer other nodes of the monitoring data, consequently, it consumes large amounts of energy, and it's easy to premature death, making the network connectivity decline, even making the network intersected, shorten the lifetime of the network. In order to solve this problem, from the view of sink node, this thesis brings forward a protocol of SERP, which is a energy balancing routing protocol based on sink Mobility and prolongs the lifetime of network. It adopts the strategy of sink movement which makes the hot nodes inside the network take turns, balances the load among them. In SERP, firstly, the WSN deployment area is divided into finite Virtual cells ;Secondly ,we make the center of each virtual cell as the mobile position of sink node; at last, we confirm the residence time when sink node stays in each position through linear programming. Finally, the paper makes simulation al analysis aiming at above-mentioned routing protocols . The result shows that the inside node energy consumption is comparatively balanced and efficient, and the network lifetime is prolonged effectively.
Hybrid Wired and Wireless Sensor Networks Interconnection
Authors: Ju Yun , Bai Yan , Zhu Yao Chun , Wang Ren Shu , Li Yu Kai
Published: August 2013

This paper proposes a integration scheme for heterogeneous wired and wireless sensor networks. In the scheme, a complete solution is provided, in order to achieve enhanced flexibility, efficiency, and performance for the overall networked system. In addition, the hybrid networks integration scheme is able to combine the advantages of both wired and wireless solutions. From the theoretical and simulative perspectives, the paper analyzes the performance parameters, including the cost, the delay time and packet loss rate, and the analytical results show that the performance of the scheme is better than other interconnection techniques.
ECoG Classification Research Based on Wavelet Variance and Probabilistic Neural Network
Authors: Yan Shi Yu , Guan De Jun
Published: August 2013

For a typical ECoG-based brain-computer interface system that the subjects task is to imagine movements of either the left small finger or the tongue, a feature extraction algorithm using wavelet variance was proposed. Firstly the wavelet transform was discussed, and the definition and significance of wavelet variance were bring out and taken as feature, 6 channels with most distinctive features were selected from 64 channels for analysis; consequently the EEG data were decomposed using db4 wavelet, the wavelet coefficients variances containing Mu rhythm and Beta rhythm were taken out as features based on ERD/ERS phenomenon, and the features were classified by probabilistic neural network under a optimal spread with an algorithm of cross validation. The result of off-line showed high average classification accuracies of 89.21% and 88% for training and test data were achieved, the wavelet variance has characteristics of more simple and effective and it is suitable for feature extraction in BCI research.
Research on Software Framework for Sport E-Government Development Platform
Authors: Wang Ai Bo
Published: August 2013

Sport E-government platform is an important means to share sports information resource, to promote sport administration and sport management information, to strengthen sport events management and sport venue construction. For the status of software development in platform building process, this paper studies software framework. First, according to the standards and norms of the national E-government construction, combines with the experience of the sport E-government construction, researches software functional framework; Second, researches SSH-MVC technical framework for developers to accomplish specific business processes on top of the frame; Finally, researches three-level security framework consisted by client, Web server, enterprise-grade information system. The content of this study, improves the level of sport E-government, reduces the technical requirements of developers, changes the traditional software development model.
A Method of Reconstructing a Virtual Gallbladder Geometric Model Based on OpenGL
Authors: Yu Ling Tao , Wang Tao , Song Hua Jian , Wang Zhen Gyu , Zhang Bao Yu
Published: August 2013

The paper puts forward a method of reconstructing a vivid virtual gallbladder geometric modeling. We use Visual C++ to write import program, save the geometry information of gallbladder contour which is related to reconstruction, and discarded something irrelevant such as materials, textures and so on. In the process of reconstruction, it need to import the data of gallbladder contour vertexes and facets, but not to read the entire 3DS file again, which will undoubtedly save more time and benefit more to real-time interactive. Then we change the independent facets into an interrelated whole through indexing and finding out storage location of triangular facets vertexes in vertex array. So that we can change the position and the shape of the gallbladder by changing the coordinate values of vertexes.
Research on Continuous Reconnaissance Capability of UAV Formation in Multi-Target Situation
Authors: Huang Qi Wang , Li Xiao Bo , Li Qun , Zhu Yi Fan
Published: August 2013

The efficiency of continuous reconnaissance of UAV formation will be changed with the number of UAVs, the detectability of UAV and target strength. The crossing line method is used to evaluate the efficiency of continuous reconnaissance of UAV formation. In this paper, the reconnaissance system of UAV formation in multi-target situation is analyzed using the method of Agent Based Modeling and Simulation (ABMS); and then the influence of the number of UAV, the detectability of UAV and target strength on reconnaissance effectiveness is also analyzed. Simulation results show that the number of UAVs and the detectability of UAV have a significant influence on the capability of continuous reconnaissance.
Extracting Social Web from Moving Object Trajectories
Authors: Dai Jian
Published: August 2013

The advent of a lot of mobile social networking applications on the smart phones has greatly changed the way how people interact with each other. The core function requiring by these applications is the location-based service providing by the sensors inside the phones. Accumulating rich location sequences, the phone actually can tell more than merely the location information. In this paper, we try to discover the beneath social web from these location information. In other words, we propose a novel trajectory mining approach to dig the social web from collections of such location information. Such approach permits to perform relationship mining from trajectory-generated content. Given a temporal threshold and a spatial threshold, our approach carries out trajectory based mining to identify who are in closer relationship with the querying moving object. The comprehensive evaluation of the approach has demonstrated very promising results and is also analyzed in this paper.
ELIC-Based Texture Advection and Information Entropy-Based Feature Extraction for the Visualization of Surface Flow Field
Authors: Wang Huai Hui , Li Si Kun
Published: August 2013

IBFVS is a classical method for visualizing surface flow field, but the quality of the final image is inadequate to get a fully understanding for the visualized flow field. In order to improve the quality of the result image of IBFVS, this paper presents an enhanced IBFVS method based on short ELIC filtering. We take IBFVS as the basic mechanism of our method, and use ELIC filtering to process the injected background image to increase the contrast of the result image. Furthermore, we use information entropy to extract the most important features with highest information in the flow field. Experiment results show that our method generates a better visualization result than IBFVS and the information entropy-based feature extraction method distinguishes the most valuable part in the flow field.
A Novel Coffee Customization System
Authors: Shang Wen Qian , Wang Ying Zi
Published: August 2013

This project is to develop a coffee-order mobile application based on the iOS. In this mobile phone application software, the user can select and buy regular coffee and custom coffee. At the same time, the custom coffee will also be provided to other customers later, and if selected, its designer can get some member points, which can be exchanged for some coffee. In this way, customers are gainer simultaneously. I am intending to design a new buy-coffee experience through this App.
Research on Multi-Dimensional Bayesian Network Classifiers Based on ICA Dimension Reduction
Authors: Zhang Xiu Fang , Yang You Long , Tang Xing Jia
Published: August 2013

Multi-dimensional Bayesian network classifiers (MBCs) are probabilistic graphical models proposed to solve classification problems. However, in data analysis and preprocessing tasks, one is often confronted with the problem of selecting features from very high dimensional data. To resolve this problem, the covariance analysis and the FastICA algorithm are applied to decrease the dimension and remove redundant information. And then, we only need to construct class subgraph and bridge subgraph of the MBC model with algorithm and mutual information from the processed data, since the new feature variables satisfy independence assumption. The experiment was tested on three benchmark data sets. The theoretically and experimental results show that our method outperforms other state-of-the-art algorithms for multi-dimensional classification in accuracy.
A Parallel Query Processing Technique for Keyword Search over Data Graph
Authors: Yang Shu Xin , Tang Wei , He Bi Bo
Published: August 2013

As a hot topic in the field of database research, keyword search on data graph has attracted many attentions. However, most of existing works are mainly studied on CPU. An important problem is how to efficiently generate answers for keyword search. In this paper, a parallel approach of keyword search based on interval coding is investigated. The approach includes two main tasks, which are finding root nodes and getting shortest paths from root to keyword nodes. To find root nodes quickly, we adopt a strategy of reachability judging between any two nodes with interval assigned to every node. Meanwhile, aim to speed up finding root nodes and getting shortest paths from root to keyword nodes, we provide data parallel processing for compute-intensive tasks by using graphical processing unit. Experiment results show the high performance of the proposed solution both on CPU and graphical processing unit.
Application of Natural Language Processing for Information Retrieval
Authors: Xi Su Mei
Published: August 2013

Through a comprehensive analysis of using natural language processing in information retrieval, we compared the effects with the various natural language techniques for information retrieval precision in this paper. This is for the tasks of more suitable as well as accurate results of natural language processing.
Design and Implementation of Embedded Web Server in Industrial Control Systems
Authors: Liu Jian Ming , Zhang Yun Jie , Xu Li Li
Published: August 2013

In the traditional project of industry control, the field operator is the only man who watches production condition at the production spot. Enterprise administers cannot obtain real-time production status and make real-time decision if they dont reach the production spot. Because of the development of Embedded Web Server such status is being changed. The remote monitor and control mode based on Embedded Web Server provides complete exact real-time information for managers, and makes it possible to make a decision in real time. In the paper, the design and implements of Embedded Web Server are presented and the key realization technology of it is described in detail. EWS (Embedded Web Server) will effectively lower system operating cost and improve maintaining efficiency, which has wide application prospect and popularization value in industrial control systems.
Research and Design for Landslide Monitoring Based on WIA-PA
Authors: Xiao Jin Chao , Zeng Peng , Zhang Qiong
Published: August 2013

In this paper, the technology of WIA (Wireless network for Industrial Automation) was utilized to detect the more frequent landslides, which are difficult to be predicted currently. WIA achieved real-time remote access to the mountains by collecting the real-time information of the mountain's water table, pressure and displacement, and transferring the data to a remote server by GPRS mobile communication. Thus, the obtained Mountain conditions can be used to predict landslides, and do scientific research. As a result, the low power and scalable monitoring of WIA plays an important role in detecting the natural disasters.
Traffic Classification Features and its Application in DDoS Detection
Authors: Xiong Ze Yu
Published: August 2013

DDoS attacks have relatively low proportion of normal flow in the boundary network at the attack traffic,In this paper,we establish DDoS attack detection method based on defense stage and defensive position, and design and implement collaborative detection of DDoS attacks. Simulation results show that our approach has good timeliness, accuracy and scalability than the single-point detection and route-based distributed detection scheme.
An Energy-Efficient Attack Detection Protocol for WSN
Authors: Bi Jia Na , Xu E
Published: August 2013

Traffic attack and false data aggregation attack are serious to wireless sensor networks. How to detect the two kinds of attack is a difficult problem. An energy-efficient attack detection protocol is proposed in this paper. The detection protocol uses linear prediction to establish easy ARMA(2,1) model for sensor nodes. In the detection protocol, different nodes play different roles, and use different monitor schemes. Virtual cluster head and monitor nodes are elected. Monitor nodes monitor cluster head, and member nodes are monitored by their cluster head. At the same time, secure data aggregation schemes are added to the protocol. Simulation shows that, the detection protocol can real-time predict traffic attacks, and insure correct data aggregation, but consume less energy.
A New Research on Instrusion Detection System Based on Artificial Immune
Authors: Shi Lan , Zhang Yan Rui
Published: August 2013

The paper proposed a new model by applying biological immune into intrusion detection system, in this new model, generated algorithm of the mature detection get improved, the self-et realized dynamic, co-evolution module can effectively find the system potential vulnerabilities and generate the corresponding patch to strengthen the system. As of result, simulation experiment for this new model is did, through the analysis of the result for simulation experiment, it shows that the new model and method has higher rate in making matured detector than the traditional model and method, and new model also has higher detecting rate on intrusion detection. To sum up, the co-evolution method is able to strengthen the system effectively.
For the Triple Play Video Audit and Distribution Trust Mechanism
Authors: Yu Peng , Wang Yong Bin , Ke Ya Ming , Liu Wen
Published: August 2013

For the new state of the triple play, video faces security problems and distrust problems between the subjects in the process of audit and distribution, and then we propose a new trust mechanism. The mechanism considering the video encoding, tampering and the human visual system (HVS), designs a method of video key information sampling, constructs a bit commitment (BC) protocol of sampling information group, and uses public key encryption for secure transmission by generating secret communication mark. The recipient verifies the communication mark and BC value to determine whether the video is tampered and locate the tampered area. The experimental results show that the mechanism has high security and credibility, effectively achieving the mutual trust between the subjects in the triple play.
Intellectual IETM System Modeling on the Basis of the Process Data Module
Authors: Xu Zong Chang , Hu Kai Kai , Sun Han Bing , Zhu Wei Cheng
Published: August 2013

With the constant development of the information technology and the constant promotion of the military demand, The intellectual level of IETM which was an important technological means to the Armament Maintenance & Support Information will be one of the focal points studies of IETM project field in the future. The process data module which have very important function to the intelligence of IETM is the important data module to the human-computer interaction in IETM system. So, it will solves the problem of realizing the system of intellectual IETM from the angle of process data module. Through the theoretical research of the process data module and intellectual IETM correctly, This text propose the intellectual IETM system modeling on the basis of the process data module in order to establish the theoretical foundation for the research of intellectual IETM of our country.
Building the Platform of Teacher Professional Development in Vocational College to Convert Tacit Knowledge
Authors: Wang Cai Xia
Published: August 2013

Due to the particularity of vocational education, vocational colleges teacher had a lot of tacit knowledge in skill, which was very difficult to be coded, summed and expressed. The platform was built to promote the conversion of tacit knowledge and improve teacher professional development by some tools and technology. The structure of the platform used B/S mode, and there were some functional modules which were Resource Database, Teacher Studio, Teaching Activities Room and Watching the Video Room. The platform had been developed by Microsoft Visual Studio 2010, C#. Net and Microsoft SQL Server 2008.