bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling Multi-Robot Terrain Mapping Using Hybrid Dynamics
Authors: Wu Hua , Liu Chang An
Published: January 2011

In this paper, a hybrid control system is incorporated into a single agent structure. Two important features of our model include that the behaviors of terrain mapping are a set of hybrid primitives inside each agent, and the coordination strategies are implemented hierarchically in multiagent level. Thus, the key contribution of our work is that the model handles the high level requests as well as low level requests consistently in multi-robot terrain mapping. Moreover, it greatly facilitates mathematical analysis. Therefore, the analysis of stability is formulated for the terrain mapping controls, which guarantees the implemented systems stable within certain boundaries. The simulation of our system is implemented using Deterministic Finite Automaton in order to be consistent with the hybrid dynamics. The implemented system verifies the feasibility and efficiency of our model.
Study of Pesticide Contaminated Navel Orange Recognition Using near Infrared Spectroscopy
Authors: Xue Long , Li Jing , Liu Mu Hua , Wang Xiao , Luo Chun Sheng
Published: January 2011

Based on Support Vector Machine (SVM) and genetic algorithm (GA), this paper intends to search for the characteristic spectral ranges and wavelengths of near infrared spectroscopy of navel oranges contaminated by different pesticides, and set up recognition models. The pesticides in the experiment were Lannate®L insecticide, fenvalerate and omethoate, and three different concentrations were given to each pesticide. Preparing ten groups of navel oranges, each group was sprayed with a different pesticide and the 10th group without pesticide spraying was used for comparison. Searching the whole spectral range through GA, 5 best spectral ranges (165 wavelengths) were obtained and the recognition rate reached 98.86%. Then based on the chosen spectral ranges, 85 feature wavelengths were extracted with continual GA-SVM optimization, and the recognition rate was 99.14%. Experiment results showed that the application of SVM combining with GA can not only improve recognition accuracy, but also simplify the model effectively
Elasticity Analysis Modeling by Least Squares Support Vector Machines Applied to System Load
Authors: Zheng Hua , Xie Li , Xiong Jun
Published: January 2011

Load elasticity analysis is effective for quantitative dynamic analysis on the load volatility in electric power planning. However traditional linear methods are always based on the definite mathematical or physical models of the observed problem, which is not suitable for the complicated real cases, especially electric load. So this paper describes a novel model for the elasticity analysis on the electric load. First to overcome the limitations of traditional regression methods, load simulation model are proposed by LS-SVM that is a strong nonlinear regression tool and outperforms standard support vector machine in the regression accuracy and modeling velocity. Based on that model, numerical simulation is performed to simulate the changes in load and its influence factors in consistency with the latent mapping relationship. Then electric load sensitivity models are deduced. Finally, the case studies are used to test the proposed model.
A Parameterized Simulation Model for Multi-Axle Vehicle
Authors: Jin Li Qiang , Song Chuan Xue
Published: January 2011

This paper presents a mathematical model for multi-axle vehicles Inclusive of steering system, suspension system, tire model, body system. Considering possible factors related to turning motion such as vehicle configuration and suspension, equations of motion were constructed to predict steerability and stability of these vehicles. Turning radius, slip angle at the mass center, and each wheel velocity were obtained by numerically solving the equations. The simulation model is made by MATLAB based on the mathematic equation. To analyze the influence of the wheelbase layout on vehicle stability, driving performance and stability of the vehicle with three wheelbase layout is simulated based on the present model. It is concluded that the wheelbase between second axle and third axle should be long to get better stability when vehicle turning with rear axles.
Simulation on Electro-Hydraulic Proportional Position Control System under Pressure Boundary Conditions
Authors: Yu Jin , Li Yuan , Xu Xiao Kang
Published: January 2011

Nowadays, the hydraulic straightening presses play an important role in straightening mandrels. For different mandrels, straightening forces and reductions differ. So the proportional position control system under pressure boundary conditions is required. The mathematical model of the system is deduced, and simulation of the system is carried out by MATLAB. The curves of step response and Bode diagram show that the system is steady and quick-response. The error caused by load is analyzed, which meets the straightening requirements and validates its design. The work in this paper can provide a high guidance for presses of similar kinds.
Automatical Reconstruction of Deficient CAD Model
Authors: Qian Gui Ping , Tong Ruo Feng
Published: January 2011

This paper presents a new CAD model reconstruction method for finite element mesh analysis. It has been accepted by many researchers that modification of a model is often a necessity as a precursor to effective mesh generation. We design an IGES surface model transformation and repairing method based on trimmed B-spline surface patches, and give an algorithm for reconstructing Brep model from surface model without correct topology information. In processing Brep model for numerical simulation, the critical issues involves the rectification of geometrical and topological errors, clearing up sharp edges and cracks, geometry healing will be emphasized. Our model-healing algorithm essentially simplifies the problems of the imperfect models and allows one to deal with simple surface model rather than complex surface representations for finite element mesh.
An Extensible Business Objects Modeling Framework for Enterprise Resource Planning
Authors: Wang Lu , Cao Min , Zhu Huai Yang
Published: January 2011

As it is common to imbed business objects/rules within the code of traditional ERP systems, the flexibility, scalability of these systems has been greatly restricted. This paper proposes extensible business objects framework, by which service-oriented componentization of business objects are modeling and a homogeneous component enterprise business system is constructed. The framework described in this paper enables enterprises to develop enterprise resource planning systems that systematically map their business logic to externally applied entities called business objects. Practice shows, when using the toolkits supplied by this framework, the ERP systems will be flexible, extensible and easy-to-develop.
Study in Stereovision Obstacle Avoidance for Adsorption Type Wall-Climbing Robot with Several Legs
Authors: Huang Guo Qin , Yu Min , Ling Jia You
Published: January 2011

Considering the work environment and characteristics of wall-climbing robot, a kind of real-time obstacle avoidance method based on stereovision is proposed. In order to improve veracity and speediness, the mathematical model of parallel binocular stereovision is built, and a homonymy point matching algorithm based on correlation of region and boundary is presented. The results indicate that this method has good characteristics of reducing data processed, improving celerity, which can realize of obstacle avoidance easily and reliably.
Computer Aided Design of Coat-Hanger Die in Polymer Film Processing
Authors: Meng Kai , Wang Xin Hou , Chen Qing Guan
Published: January 2011

With the aid of computer simulations, coat-hanger die was designed for more uniform residence time distribution. Analysis of velocity distribution and flow path line indicate that stagnation areas exist in the coat-hanger die, which is caused by the geometry abrupt change between the circular section manifold and the rectangular section slot gap. The stagnation areas affect the melt residence time directly. After changing the circular section manifolds to tear-drop section manifolds, the stagnation areas decrease from 8.21 mm2 to 5.40 mm2. Compared with the melt residence time in circular section manifolds, both the maximum residence time and the residence time dispersion were decreased.
The Research of Heterogeneous Entity Association Method Based on MOSS
Authors: Liu Yong Shan , Lv Hai Hong , Wang Le Le
Published: January 2011

Because MOSS (Microsoft Office SharePoint Server) doesn’t support the association between two heterogeneous entities, we propose a clustering algorithm called MHEA. This algorithm can mine the associations among heterogeneous entities and output entity association matrices. It is based on Extended Name Vectors which is the result of ENV clustering algorithm. ENV is based on k-means, but it selects initial centroid of each clustering according to the identifiers of entities, and the value of k is dynamically changeable in the process of ENV, consequently decrease the iterative times. The accuracy and effectiveness of our proposal have been demonstrated through the performance study using both real and synthetic data sets.
An Image-Based Visual Servoing for Manipulator
Authors: Tian Shi Xiang , Wang Sheng Ze
Published: January 2011

In this paper, an image-based controller for tracking control of robot manipulators using a single camera is proposed. The proposed controller has robustness to parametric uncertainties of the robot manipulator and compensation for uncertainties included in the image Jacobian. The stability of the closed-loop system is proved by Lyapunov approach. The performance of the proposed method is demonstrated by simulation experiments on a 3-link robot manipulator with three degree of freedom.
Researches on Scientific Workflow and GIS Services for Gas Network Application
Authors: Liu Zhen Yu , Hu Chang Jun , Ouyang Chun Ping , Li Yang
Published: January 2011

In contrast to traditional business workflow, scientific workflow is mainly used to describe and control the execution of scientific experiment and research. Currently, scientific workflow technology is widely adopted by E-science application. Geographic information system (GIS) is a rapid development branch of spatial information domain, which is applied to E-science application especially gas network application. This paper analyzes the work process of gas network application based on GIS service and introduces a scientific workflow of spatial data processing. Then a modeling method of scientific workflow for gas network application based on GIS service is proposed. Furthermore, a prototype of gas network safety evaluation (GNSE) is developed for verifying the scientific workflow model. Our experimental results show that various services could be efficiently managed and controlled by using scientific workflow to evaluate gas network safety. Finally the conclusion and future work are included.
The Implementaion of Checkpointing and Process Migration under Service-Oriented Distributed Network Computing Infrastructure
Authors: Peng Ri An , Zhu Yong Hua , Zhu Wei Chen
Published: January 2011

As the fast development of Web Service, the Service-Oriented Architecture (SOA) has implemented widely. This paper presents the implementation of Service-Oriented Distributed Network Computing infrastructure (Sodnci). To enhance the fault-tolerance, checkpoint and process migration is introduced.
LiNi0.5Mn1.5O4 Prepared by a Solution Combustion Synthesis at Different Temperatures
Authors: Liu Gui Yang , Guo Jun Ming , Wang Bao Sen
Published: January 2011

LiNi0.5Mn1.5O4 powders have been prepared by a solution combustion method at 300-800oC. X-ray diffraction (XRD) and scanning electric microscope (SEM) were used to determine the phase composition and micro morphology of the products. The results indicate that the products with single phase LiNi0.5Mn1.5O4 can be obtained at 400-600oC. The electrochemical performance was tested by a coin-type battery. The product prepared at 600oC has the best electrochemical performance. The maximum capacity of the product prepared at 600oC is 135mAh/g at the current density of 30mA/g, and after 30 cycles, the capacity fades little.
Empirically-Sourced Mechanical Behaviors of Pneumatic Artificial Muscles for Compensation-Based Controls
Authors: Li Fei , Wang Yu , Tong He Ting , Han Ray P.S.
Published: January 2011

As a skeletal muscle-like actuator, PAM possesses many unique advantages. They include compliance and high power-to-weight ratio, which make it an ideal actuator for robotic and powered exoskeleton applications. But its flexible braided mesh shell and the compressibility of air make PAM much more difficult to model and control compared to traditional actuators. In this work, the mechanical properties of the McKibben PAM produced by Festo are examined, tested and discussed. The results demonstrate the muscle-like property of PAM and its strong non-linear and hysteresis behaviors. A simple law between the areas of the hysteresis and pressure is proposed, and the relationships of the areas of the hysteresis, external load and the continuous working time are studied. Further, changing the PAM length that is smaller than 0.4 mm may lead to the “crawl” phenomenon. Finally, the empirical results can be used in compensation-based controls of the hysteresis in the McKibben PAM.
LMI Formulation for Static Output Feedback Control of Linear Continuous System
Authors: Wang Xin Gang , Zhang Dong Mei , Liu Jun
Published: January 2011

In this paper, the static output feedback control of a class of continuous systems is considered. Thanks to the Reciprocal Projection Lemma, it is shown that the solution of the continuous system with static output feedback problem is conditioned by a set of linear matrix inequalities (LMIs), which are numerically tractable and free from any equality constraint. Furthermore, a convex optimization problem with LMI constraint is formulated to design the optimal guaranteed cost controller which minimizes the guaranteed cost of the closed-loop systems. Numerical examples are given to illustrate the effectiveness of the proposed methods.
The Estimate Model Improvement of Software Cost Based on Fuzzy Matrix Technology
Authors: Sun Yu Qiang , Tao Xue Li , Zhang Cong Pin , Zhang Xiao Lin
Published: January 2011

Combining the current situation of China's domestic software enterprises, the cost driving factors of COCOMO model is improved to enhance the the accuracy of the estimate results by the fuzzy matrix method in this paper. In virtue of fuzzy matrix and fuzzy linear transformation, not only the fuzzy comprehensive ablity’s quantitative value is got, but also sigle fuzzy ability’s quantitative value is got. The type of software personnel can be distinguished by comparing the fuzzy integrated ability assessing valur of software personnel with pre-set threshold, enhancing the the accuracy of the estimate results.
The Design and Analysis on Communication Physical Layer of High-Speed Inter-Missile Networking
Authors: Qi Yong , Li Qian Mu , Wei Xiang He , Yin Jie
Published: January 2011

Missile as a kind of weapon which plays a significant role in tactical strike, strategic strike and strategic deterrent, has been at the top position of the development of weapon in all country. This paper faces to the high-speed inter-missile networking, and design the deployment of the physical layer. All the missiles within the range of node running in the air automatically form a temporarily communication network, and any missile can communicate in the range of a node. When the distance between two missiles is more than the range of signal node, the message is relayed by neighbor nodes between them. Missiles can relay with satellite by configuring the satellite gateway, and send back to missile base and control center. The experiments show that the design in this paper improve the coverage of a single data link, which make the missiles efficient exchange information in network and lay a technique foundation for cooperation between missiles.
Research on Expressway Toll Audit Technique Based on Data Mining
Authors: Ye Zhong Jie , Zhang Xiao Hang , Xu Hong Ke , Wang Qi
Published: January 2011

Toll evasion is a known challenging problem in expressway transportation. Existing solutions mainly rely on the audit by people on the spot. However, with the increase of expressway networks, this kind of methods become less practical and lead to low efficiency. Considering this deficiency, this paper presents a method based on data mining to automatically assist the toll audit. Our method not only takes use of the data recorded from the expressway toll system, but also brings convenience to the auditing process.
Eight Models Discussion on P3L Multi-Solution Problem
Authors: Qin Li Juan , Hu Yu Lan
Published: January 2011

Multi-solution problem is an important problem that affects the characteristic of pose estimation algorithm. The main content of this paper is to discuss the solution models for pose estimation method from three non-coplanar lines which intersect at two points. This paper provides a detailed account of concrete expressions for eight solution models. Expression for analytical solution can be very visual.
A Semantic Metadata Describing Video Information Based on Ontology
Authors: Song Wen Fei , Tian Wen Ya , Shen Cai Liang
Published: January 2011

The paper has investigated the metadata for annotating the video information, and put up with the framework architecture of a semantic metadata describing video information based on ontology. Firstly a domain ontology library is constructed, the video information is described by the ontology, and the video library system with architecture is developed. The paper builds a semantic ontology library for Peking Opera, and gets the conclusion that it is feasible to describing video information with semantic metadata based on ontology.
An Improved Particle Swarm Optimization Algorithm
Authors: Cheng Hao Xiang , Wang Jian
Published: January 2011

An improved particle swarm optimization (IPSO) was proposed in this paper to solve the problem that the linearly decreasing inertia weight (LDIW) of particle swarm optimization algorithm cannot adapt to the complex and nonlinear optimization process. The strategy of nonlinear decreasing inertia weight based on the concave function was used in this algorithm. The aggregation degree factor of the swarm was introduced in this new algorithm. And in each iteration process, the weight is changed dynamically based on the current aggregation degree factor and the iteration times, which provides the algorithm with dynamic adaptability. The experiments on the three classical functions show that the convergence speed of IPSO is significantly superior to LDIWPSO, and the convergence accuracy is increased.
PSO and WCR-Based Scheduling Algorithm for Non-Identical Semiconductor Batch Processing Devices
Authors: Zhou Bing Hai
Published: January 2011

In semiconductor fabrications, batch processing devices (BPD) are mainly used for oxidation, diffusion, deposition and performance test operations. To optimize scheduling solutions of non-identical semiconductor BPDs where existing multi-products and different due dates, a heuristic scheduling method based on Particle swarm optimization (PSO) and weighted cost rate (WCR) is proposed for minimizing the objective of the earliness/tardiness(E/T) penalties. The two-level heuristic scheduling algorithm is developed. Experiment results indicate that the proposed algorithm is valid and practical. Compared with the previous heuristic scheduling algorithms, it is more efficient in improving the weighted earliness/tardiness performance.
Parallelizing Network Coding Using CUDA
Authors: Gan Xin Biao , Shen Li , Wang Zhi Ying , Lai Xin , Zhu Qi
Published: January 2011

Network coding has emerged as a promising technique to improve network throughput and bandwidth. However, due to high computational complexity, its practicability has remained to be a challenge. At the same time, applications accelerated by GPU are confined to GPU acting as a coprocessor to consume dataset transferred from CPU. Therefore, an aggressive parallel network coding is customized for GPU using CUDA (Compute Unified Device Architecture), in which dataset are partitioned for exploiting both thread-level parallelism and data-level parallelism, and collaboration between GPU and CPU is introduced to decoding with texture cache so that GPU can act as not only data consumer but also data producer. Moreover, random linear network coding is parallelizing on CUDA-enabled GPU to validate proposed techniques. Experimental results demonstrate that it is effective to parallelize network coding on GPU-accelerated system using proposed techniques.
A Comparative Simulation of Organizational Strategies in Production Cells Based on Agent Model
Authors: Zhang Xiao Dong , Yu Tian , Xie Xun De , Zhao Dong Fang
Published: January 2011

In order to simulate the impact of organizational strategy on production cell, agent model of workers was developed and integrated into the production model. An agent-based human-machine collabrative simulation method for production cells was proposed. Structure and modeling steps of the simulation were studied, the proposed simulation method was applied in a motorcycle engine box production cell, and the system performance under the two different organizational strategies ‘specialized division of labor’ and ‘multi-skill team’ was compared. The results indicate that the agent-based simulation method can simulate the organizational strategy in production cells, and provide a new way to study affecting mechanism of different organizational strategies on prodution cells.
On the Distribution Properties of BitTorrent Seeds
Authors: Tang Hong , Wang Lu , Huang Ding
Published: January 2011

The P2P applications tend to be important in nowadays Internet, and BitTorrent(BT) is one of the most popular P2P applications. This paper analyzes the distribution of BitTorrent seeds and its properties with the data measured from the Web server of BitTorrent. The Gini coefficient is introduced as the index of the distribution of the seeds in BitTorrent system to demonstrate the evolution of the seed distribution. The Largest Lyapunov exponent is also employed to analyze the stability of the emergent structure of the seeds. The results show that in a BitTorrent system the seed distribution is not inequality, but its evolution is steady and the inequality doesn’t enlarge with the participants’ increasing.
Periodic Estimation of the 3-Arnold Transformation Modulo N
Authors: Li Yong Jiang , Ge Jian Hua , Sun Zhi Lin
Published: January 2011

We discuss the basic definitions and existing conclusion about periodicity of the twin Fibonacci sequence in this paper. The upper bound of the twin Fibonacci sequence and the least period of 3-dimensional Arnold transformation mod N are respectively 6.269N2 and 3.134N2, which is similar to two existing references. Moreover, many important properties are gained, which provide new thought for study on the period of higher-dimensional Arnold transformation and the necessary mathematical reference of image coding and processing.
Analysis on Security Proof of Two Key Agreement Protocols
Authors: Zhou Hui Hua , Zheng Ming Hui
Published: January 2011

Recently, Tseng proposed two group key agreement protocols which are claimed to be provably secure against passive attackers and impersonation attacks over authenticated channel. In each of these works, a security proof of the proposed protocol was presented. In this paper, we revisit Tseng’s security proof and show that the reduction in the proof is invalid. As the replacement, we give a new security proof.
The Improved Algorithm of Scale Invariant Feature Transform on Palmprint Recognition
Authors: Qu Zhong , Wang Zheng Yong
Published: January 2011

This paper presents a new method of palmprint recognition based on improved scale invariant feature transform (SIFT) algorithm which combines the Euclidean distance and weighted sub-region. It has the scale, rotation, affine, perspective, illumination invariance, and also has good robustness to the target's motion, occlusion, noise and other factors. Simulation results show that the recognition rate of the improved SIFT algorithm is higher than the recognition rate of SIFT algorithm.
Control Method to Data Transmission for Different Structure Network
Authors: Zhang Ning , Ge Mao Chang
Published: January 2011

There are many structure models in data network. To optical network, control method is important for different network. Optical fiber is the preferred medium for transmission for data rates larger than a few hundred megabits per second over distances more than tens of meters due to its near-perfect transmission properties, including low attenuation over a multi-terahertz bandwidth window, immunity from interference of most kinds, and requiring no maintenance over a very long life span. To date, no other technology has appeared on the horizon that can compete with these attributes. The transmission mode refers to the number of elementary units of information that can be simultaneously translated by the communications channel.
Query Optimization Based on Data Provenance
Authors: Huang Li , Cheng Hong Bing
Published: January 2011

Data Provenance is a key of evaluating authority and uncertainty in data query. Query process technology based on data provenance overcomes the shortcomings of traditional data integration on query quality and efficiency. This paper constructs a data model of heterogeneous data sources provenance, i.e. Semiring Provenance, based on tracing provenance of data origination and evolution. It’s proved to be effective in creating mapping between heterogeneous schemas and optimizing query quality and authority evaluation. Experiments using real data set show that our approach provides an effective and scalable solution for query optimization technology.
Supplier Selection Using Combined Comparing Interval Grey Numbers and Dominance-Based Rough Sets
Authors: Huang Li Ping , Li Jin Jin
Published: January 2011

Supplier selection is a MADM problem. In this paper, a new method to deal with the supplier selection problem is proposed. The work procedure is as follows: firstly, perfects the method of comparing grey numbers with their probability distribution. Secondly, applies the method of multiple attribute decision making based on dominance-base rough sets to the supplier selection problem. Finally, an example of supplier selection problem is used to illustrate the proposed approach.
A Novel Convex Optimization for Receive Antenna Selection
Authors: Wang Yong , Li Hui
Published: January 2011

This paper proposes a new receive antenna selection algorithm based on the theory of convex optimization that improve the system performance over Rayleigh fading multiple-input multiple-output (MIMO) channels. The algorithm is based on approximated relaxed original optimization problem. The main effort in the approximated relaxed method is computing the Newton step for the centering problem, which consists of solving sets of linear equations constraints. The method produces not only a suboptimal choice of receive antennas, but also, a bound on how well the globally optimal choice does. The Monte-Carlo simulations show that the algorithm proposed can provide the performance very close to that of the optimal selection based on exhaustive search.
A Novel Personalized Filtering Recommendation Algorithm Based on Collaborative Tagging
Authors: Sun Ming Yang , Sun Wei Feng , Liu Xi Dong , Xue Lei
Published: January 2011

Recommendation algorithms suffer the quality from the huge and sparse dataset. Memory-based collaborative filtering method has addressed the problem of sparsity by predicting unrated values. However, this method increases the computational complexity, sparsity and expensive complexity of computation are trade-off. In this paper, we propose a novel personalized filtering (PF) recommendation algorithm based on collaborative tagging, which weights the feature of tags that show latent personal interests and constructs a top-N tags set to filter out the undersized and dense dataset. The PF recommendation algorithm can track the changes of personal interests, which is an untilled field for previous studies. The results of empirical experiments show that the sparsity level of PF recommendation algorithm is much lower, and it is more computationally economic than previous algorithms.
P2P Mapping Creation by Semantic Discovering and Mapping
Authors: Zhou Jing Tao , Yang Hai Cheng , Wang Ming Wei , Mo Rong
Published: January 2011

To fully fulfill the modularity and loosely coupled characteristics of P2P semantic mapping paradigm proposed in our previous work[1], a mapping creation method based on semantic discovery is presented to avoid a time-consuming and labor-intensive artificial mapping creation process. This method creates semantic mapping between peer node models by establishing the semantic relations between elements from different peer node models. Semantic relative candidates are captured through the correspondence semantic matching process including concepts matching process, attributes matching process, relations matching process, concepts and relations matching process, and concepts and attributes matching process. To improve the degree of automation for mapping establishment, the hybrid semantic discovery approach is used in the semantic discovery process.
Analysis and Proof for Convergence Region of Vision Iterative Method
Authors: Qin Li Juan , Hu Yu Lan
Published: January 2011

We have presented a new vision solution method which has good real-time characteristic. It satisfies the convergence characteristic in some regions, which is the premise for running of our solution method. In this paper, we present one convergence region and provide a detailed account of proof for the convergence region. Proof for convergence region can provide theoretical basis for vision solution method.
Analysis of Current Situation and Prospect of Multimedia Technology in Physical Education of Chinese Universities
Authors: Li Meng Long , Peng Hong Jian
Published: January 2011

Through the questionnaire survey on the following five aspects: the developing status of multimedia teaching in physical education of Chinese universities, the construction progress of multimedia teaching technology in P.E. courses of universities, P.E. teachers’ self-positioning in making multimedia courseware, multimedia courseware’s distribution in physical education materials of universities, as well as the teaching effect of multimedia courseware in physical education of universities, the following conclusions can be reached: multimedia teaching technology has gradually become more and more important to physical educators in universities. Some universities have already begun to make attempts in multimedia physical education. Considering that, the paper has also constructively made prospective proposals for multimedia teaching technology in P.E. courses of Chinese universities.
Flameless Solution Combustion Synthesis of Al3+ Doped LiMn2O4
Authors: Liu Gui Yang , Guo Jun Ming , Wang Bao Sen , He Ying
Published: January 2011

Single phase Al3+ doped LiMn2O4 has been prepared by flameless solution combustion synthesis method at 600oC for 1h. X-ray diffraction (XRD) and scanning electric microscope (SEM) were used to determine the phase composition and micro morphology of the products. XRD analysis indicates that the purities increase and the lattice parameters of the products decrease with increasing Al3+ content. Electrochemical test indicates that the cycling performance of the products with Al3+ doping are better than that of the product without Al3+ doping. The product LiAl0.10Mn1.90O4 gets the best electrochemical performance. At the current density of 30mA/g, the initial discharge capacity of LiAl0.10Mn1.90O4 is 124.8mAh/g, and after 20 cycles, the capacity retention is more than 89%. SEM investigation indicates that the particles of LiAl0.10Mn1.90O4 are sub-micron in size and well dispersed.
Fabrication Research and Property of Double Cold Cathode for the Field Emission Display Panel
Authors: Guo Qiang , Li Yu Kui
Published: January 2011

With the precise photolithography process and simple screen-printing technique, the double cold cathode structure was fabricated on the cathode plate. The indium tin oxide (ITO) film coated over the cathode plate surface was etched to form bar ITO stripes, which was used as the cathode electrode. The one ITO group was composed of two parallel bar ITO stripes, on which the screen-printed carbon nanotube paste was employed to form the field emitter. The covering layer was also fabricated by the solidified insulation slurry with the pre-determined patterns. The phosphor prepared on the anode plate was utilized to form the panel image. The sealed field emission display panel with double cold cathode structure showed high panel luminous brightness, better field emission characteristics and good emission uniformity.
Robots Active Linking in Unknown Environment
Authors: Cui Yi An , Dai Yi Jun
Published: January 2011

In order to provide effective communication link between two robots while physical link did not exist in unknown environments, a method of active communication link building on demand was proposed. Based on some model assumptions and definitions, a strategy named SSS was presented to build communication link in unknown environment by using link-increasing and link-rotating. Then the corresponding basic algorithm and improved algorithm were discussed and compared in simulation. The simulation indicated that communication link could be built successfully by employing these algorithms. And the improved algorithm had more optimal performances than basic one by estimating energy consumption and time consumption in link building process.
Design and Realization of Materials Service Safety Assessment System Based on Ontology
Authors: Ouyang Chun Ping , Hu Chang Jun , Liu Zhen Yu , Li Yang
Published: January 2011

Material is the foundation of engineering construction, and materials service safety assessment is an important issue for public security. The data required for materials service safety assessment have the characteristic of multi-source and geographic related. According to this characteristic and the demand of service safety assessment, ontology-based materials service safety assessment system (OMSA) is proposed to provide a unified semantic model based on ontology and a visual assessment tool based on GIS for materials service safety assessment. Ontology building, ontology-based semantic query, and GIS are the key technologies for design and realization of safety assessment system. Thereby, the combination of these technologies may take respective advantages for materials service safety assessment, and latent semantic information of material service performance data can be explicitly shown in the visual GIS environment.
Holes Machining Process Optimization with Genetic Algorithm
Authors: Zhu Guang Yu , Chen Lian Fang
Published: January 2011

In this paper, a multi-level method has been adopted to optimize the holes machining process with genetic algorithm (GA). Based on the analyzing of the features of the part with multi-holes, the local optimal processing route for the holes with the same processing feature is obtained with GA, then try to obtain the global optimal route with GA by considering the obtained local optimal route and the holes with different features. That is what the multi-level method means. The optimal route means the minimum moving length of the cutting tool and the minimum changing times of the cutting tool. The experiment is carried out to verify the algorithm and the proposed method, and result indicates that with GA and using the multi-level method the optimal holes machining route can be achieved efficiently.
Research on Image Restoration Algorithm Base on ACO-BP Neural Network
Authors: Xue Hong Ye , Ma Wei Li
Published: January 2011

This paper studies the traits of Ant Colony Algorithm and BP neural network, at the same time it combines the ant colony optimization algorithm with BP neural network and applies them at the image restoration. This algorithm solves some problems of BP, such that the BP algorithm gets in local minimum easily, the speed of convergence is slowly and sometimes brings oscillation effect etc. that is reason the quality of restored image can be improved significantly. Besides, the article details ACO-BP algorithm’s theory and steps, and apply the improved algorithm in the image restoration. which reduces the MSE(Mean Square Error) of the optimization algorithm, and makes the speed of convergence of BP neural network faster. This algorithm is validated validly by the method of Simulation .
An Approach to the Characteristic Spectrum Analysis for Train Wheelset Fault Diagnosis
Authors: Zhang Jian , Huang Cai Lun , Zhou Shao Wu
Published: January 2011

In the view of the fact that the information of the fault characteristic of the train wheelset is submerged into the background noises and the conventional spectral analysis method has its own deficiency due to the fuzzy spectrum value created by the load variation and rotation speed fluctuation, the paper proposes a method of the characteristic spectrum analysis of the on-line fault diagnosis of the train wheelset. And the correspondent system is developed to meet the practical application. In the paper, the issues such as the signal sampling, signal processing and the inhabitation of the characteristic spectrum leakage besides the principle of the new method. The application indicates the method is reliable and effective since it can describe the fault characteristic more exactly than any other conventional ones.
The Test Information Integration Framework Based on ATML and Web Services
Authors: Huang Deng Yang , Chueh Hao En , Lin Chun Chi , Chou Chia Yin
Published: January 2011

This work aims to make use of information technology to improve present test platform, proposing TPIF(Test Process Integration Framework) as an integrated interaction framework for enginer, quality controller, corporate vendor, and manager to test data and analyze information. Also, it suggests a practicable system framework and implementation case to illustrate the integration and reconciliation degree of TPIF. In TPIF, a component utilizes ATML as the basic format for test information is designed to transform ATML message to Web Services rapidly, upgrading the reliability of test information and be a reference for relevant research. The implication of this proposed framkwork is to mature the integration of test imformation; besides, the engineers could have better understanding of the completed status in production process through combining ATML and information flow , as well as enhancing the yield rate and reduce the possibility of damage.
How the Swine Lineage Influenza A (H1N1) Virus Spread?
Authors: Qian Yong Sheng , Ren Zheng Zheng , Lin Fang , Zeng Qing
Published: January 2011

This letter establishes the Cellular Automata (CA) Modeling for the Swine lineage influenza A (H1N1) and analyzes its spreading features accordingly, which，actually，turns out that the Preventive-controlling Measure, or the Isolating Policy, in China is not only essential but also feasible. And more important, the CA Modeling presented herewith can also be applied to forecast the percentage of population with the virus infected and will be of significant function for drafting the preventive and controlling policies of the Swine lineage influenza A (H1N1) virus.
Design and Research of Camera Calibration System in Binocular Stereo Vision
Authors: Xiong Jun Tao , Zou Xiang Jun , Zou Hai Xin , Chen Yin Le , Sun Quan
Published: January 2011

Aiming at the camera calibration of binocular stereo vision system, based on Zhang’s calibration method, the specified points in the calibration template obtained by the Harris operator, a set of camera calibration system combined with VC++ and Matlab was developed. The results of the calibration system, comparing with those of four-step calibration method, was analyzed and showed that: the error of calibration data in this system was within 0~5 mm, which had a high precision calibration, providing a new reference measure for the camera calibration.
A Model Inspection Method for Products with Free-Form Surfaces
Authors: Wang Yuan Yuan , Liu Fei , Li Li , Peng Chao Hua
Published: January 2011

With a wide range of applications of free-form surfaces, the inspection of them is becoming critical, though it is difficult. A model inspection method for products with free-form surfaces is proposed in this paper, and the key process is described in detail including data import, data matching, and error comparison. The inspection results are not only displayed with color cloud map, but also the error values of the specific points can be displayed explicitly in the table. The experiment results by applying the method to a car lamp show that the proposed method is efficient and it can provide a reference to modifying the product for designer.
Method of Testing and Data Processing of Random Load Spectrum of Wheel Loader Transmission
Authors: Wang Ji Xin , Hu Ji Yong , Yang Yong Hai , Hao Wan Jun , Yao Ming Yao
Published: January 2011

A continuous non-stationary load spectrum of wheel loader transmission was obtained from field testing by a special test system, including time-history of torque, speed, oil pressure and gears. During the data processing, each work cycle was divided into six steps: no-load forward, shoveling, heavy-load back, heavy-load forward, unloading and no-load back with considering the characteristic of gears, torque and oil pressure signals. Discretization, Butterworth filter and the singularity rejecting were adopted to analyze the load data of each step, from which the non-stationary random signals were translated into the pure stationary load signals. The time-history load testing method and data processing of random load spectrum of transmission was presented.
Product Form Design Based on Neural Network and Genetic Algorithm
Authors: Yang Cheng , Wu Qun , Wu Jian Feng
Published: January 2011

A method of product innovation design was presented. Based on product gene and interactive genetic algorithm, designs of products evolved into new programs, with which make customers be satisfied. In the evolutionary process, a similar model, which was made by neural network learning, was used to evaluate the fitness of products. This method not only shortened the time which was taken in the process of evolution, but also to avoid the decline in the quality of evaluations which resulted from the mental fatigue of user, and ensured the accuracy of the solution.
Billing System for Integrated Services Customer Premises Network
Authors: Zhang Shu Dong , Gao Bei Bei , Chen Yan
Published: January 2011

A new Billing system for Integrated Services Customer Premises Network is proposed, which supports the requirement of rating for integrated services of CPN, including TV Service, Internet Service, IP Phone Service, Video Meeting Service. The topology of CPN and the structure of the billing system are introduced, and then the video surveillance access service’s info protocol and the flow of IP phone access service are given. The billing system supports multiple access protocol, such as RADIUS, Diameter, NetFlow, SNMP, PPPOE.
Evaluation Method to Determine Radial Error of Spindle Units on Simulation Turntable
Authors: Qu Zhi Yong , Han Jun Wei
Published: January 2011

Many errors including radial error influence the accuracy of simulation turntable, which is a crucial equipment in hardware-in-the-loop simulation system. The aim of this paper is to propose a new method of radial error motion separation of rotating spindle on a simulation turntable. Based on transformation matrix and small angle approximation, gesture transformation matrix with various error items is achieved. As a result of this analysis, form errors of master ball are corrected and the eccentricity from the rotation error of a spindle is separated. This radial error analysis is carried out when this measurement result is applied to a simulation turntable. Furthermore, this study also permits the user to know how to minimize some error sources of the spindle system.
Numerical Simulation of Hydro-Forming Cylindrical Cup with a Hemispherical Bottom
Authors: Kuang Wei Hua
Published: January 2011

In order to improve the hydro-forming accuracy, the process parameter’s effect on the technology was studied by using finite element method. The numerical simulation model of the forming process was established. The deformation and thinning were studied. The FLD was used to determine the safe limit of the sheet metal operation. FLD showed that the cylindrical hydro-drawing process could be successfully done in one stroke.
Influence of Gene Effect on Predicting Animal Phenotype Using Back-Propagation Artificial Neural Networks
Authors: Li Xue Bin , Yu Xiao Ling , Guo Yun Rui , Xiang Zhi Feng , Zhao Kun , Ren Fei
Published: January 2011

Recently, largescale, high-density single-nucleotide polymorphism (SNP) marker information has become available. However, the simple relation was not enough for describing the relation between markers and genotype value, and the genetic diversity should be carefully monitored as genomic selection for quantitative traits as a routine technology for animal genetic improvement. In this paper, back-propagation neural network is used to simulate and predict the genotype values, and the different gene effects were used to discuss the influences on estimating the polygenic genotype value. The results showed that after phenotype value being normalized, optimization network could be established for predicting the phenotype value without fearing that the gene effect is too large. If the number of hidden neurons is large enough, the stability of back-propagation artificial neural network established for predicting phenotype value is very well. the gene effect could not affected the precise of optimum neural network for estimating the animal phenotype, the optimum neural network could be selected for predicting the phenotype values of quantitative traits controlled by genes with small or large effects.
Multi-Level Association Rules Mining Algorithm Based on Semantic Relativity
Authors: Zhang Lei , Wang Zhi Chao
Published: January 2011

Traditional multi-level association rules mining approaches are based only on database contents. The relations of items in itemset are considered rarely. It leads to generate a lot of meaningless itemsets. Aiming at the problem,multi-level association rules mining algorithm based on semantic relativity is proposed. Domain knowledge is described by Ontology. Every item is seen as a concept in Ontology. Semantic relativity is used to measure the semantic meaning of itemsets. Minimum support of itemset is set according to its length and semantic relativity. Semantic related minimum support with length-decrease is defined to filter meaningless itemsets. Experiments results showed that the method in the paper can improve the efficiency of multi-level association rules mining and generated meaningful rules.
Improved Apriori Algorithm Based on Compressing Transactional Matrix Multiplication
Authors: He Yue Shun , Du Ping
Published: January 2011

Apriori algorithm is one of the most classical algorithm in association rules, however, the algorithm is low efficiency, such as firstly it needs to repeatedly scan the database, which spends much in I/O. Secondly, it create a large number of 2- candidate itemsets during outputting frequent 2- itemsets. Thirdly, it doesn’t cancel the useless itemsets during outputting frequent k- itemsets. In the paper, it describes an improved algorithm based on the compressed matrices which improve the efficiency during creating frequent k- itemsets on three aspects, which simply scans the database once, after compressed transactional matrix, and by multiplied matrix get the frequent item sets, which effectively improved the efficiency in mining association rules.