bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparing and Study on Thermal-Conductive Epoxy Resin Nanocomposites
Authors: Feng Hui Xia , Zhang Guo Hong , Luo He Ming , Zhang Jian Qiang , Qiu Jian Hui
Published: December 2010

Metal powder (Cu) filled Epoxy resin (EP)/Organic-montmorillonite nanocomposites were prepared, where the compounding was carried out by using hardener with filler loadings of 0wt%, 5wt%, 10wt%, 15wt% and 20wt%. Organic-montmorillonite was prepared by using the method of Secondary-intercalating with transition metal ion and cetyl trimethyl ammonium bromide (CTAB) as the modifier. The content of Organic-montmorillonite dispersed in EP system was 3wt%.The effect of filler loadings and incorporation of coupling agent on tensile properties and thermal conductivity are studied. The results demonstrate that, an increase in filler loading is found to increase the tensile strength and thermal conductivity of M filled EP composites. By adding 2% coupling agent, the decrease of tensile strength with increasing filler loadings can be observed in 20%Cu-EP composite. However, the addition of 2% coupling agent in 20%Cu/OMMT/EP composite allowed the increment of tensile strength and assisted in greater increment of thermal conductivity of the composites.
Study on Modification of Phenolic Resin/Glass Fiber Composite by Polyvinyl Alcohol
Authors: Yang Ming , Nie Yu Jing
Published: December 2010

A new type of modified phenolic resin/glass fiber composite is introduced. Phenolic resin was modified with 2% polyvinyl alcohol(PVA). Test specimens were prepared by mixing and molding. Fourier transform infrared spectroscopy (FTIR) was adopted to investigate its molecular structure. FTIR results showed that long aliphatic chain were introduced into the structure of PR, which could absorb the energy during load was applied on the composite. The toughing mechanism was investigated by comparing the impact strength, bending resistance, tensile strength with non-modified phenolic resin. Results shows that the impact strength of the modified PR/GF composite reaches 53.21 KJ/m2, which is almost 2 times more than that of pure PR/GF composite. Finally, the application of the modified PR/GF composite on shoes head was introduced.
Deformation Analysis of Pavement Structures under Coexistence of Vertical and Horizontal Loads
Authors: Zhang Nian Mei , Wang Xu Dong
Published: December 2010

The surface deflection and displacement is an important performance index to evaluate the bearing capacity of pavement structures. In this work, the dynamical responses of elastic pavement structures subjected to moving vehicles are studied. Based on the elasticity, the strain distribution and the deformation of asphalt pavement structures under coexistence of vertical and horizontal loads are investigated. Integral transform method is used to obtain the deflection response function. The influence of the horizontal braking load on the dynamic response of the pavement structure is analyzed. The results show that the horizontal force plays important roles on the maximum displacement and deflection, distribution of first principal strain of structure.
Application of Grillage Method in Analysis of Ramp Bridges with Box-Girder
Authors: Xu Yu Feng
Published: December 2010

With the rapid development of urban viaduct, an increasing number of curved bridges and irregural ramp bridges are constructed. For the analysis of these structures, the conventional plan link method can not obtain satisfactory results and meet with the engineering accuracy requirement. On the contrary, the special grillage method can solve this issue better. Based on an irregular ramp bridge with Box-girder located in Guangzhou-Shenzhen express way, how to establish FE model by grillage method in Midas/Civil is firstly introduced in this paper, then how to establish 3D block FE model for the validation of grillage model is described. Furthermore, the analysis results of the above mentioned grillage model are presented at the end.
Modeling of Steel-Concrete Interface Fracture under Wedge Splitting Based on a Heterogeneous Assumption
Authors: Chang Xu , Chen He Ping , Liu Bin
Published: December 2010

This paper presents a numerical investigation of fracture behaviors of concrete-steel interface under wedge splitting. The consideration of heterogeneity for the materials is achieved by assigning the elements random strength and elastic modulus by assuming a Weibull’s distribution. The fracture pattern transits from the predominated adhesive layer fracture to the dominated concrete cracking as the interface cohesive strength changes from lower than concrete tensile strength to higher than that. Local cracks can also occur duo the heterogeneous assumption. The numerical results and have an agreement with the experimental results.
The Strengthened Mechanism of X70 Pipeline Steel Welded Joints by Laser Shock Processing
Authors: Kong De Jun , Zhou Chao Zheng
Published: December 2010

The X70 pipeline steel welded joint was processed to strengthen with laser shock wave, the structures of welded joint by laser shock wave were observed with Scanning Electric Microscope (SEM), and its surface residual stresses was analyzed with X-ray diffraction (XRD), the residual stress distributions of welded joint by laser shock processing were discussed, and the strengthened mechanism of X70 pipeline welded joint by laser shock processing was investigated. The experimental results shown that the phenomenon of grain fine is produced in the surface of X70 pipeline steel welded joint by laser shock processing, and compressive residual stress is formed in its surface layer, and improves the distribution of residual stress, which is benefit to increasing the capability of stress corrosion resistance for X70 pipeline steel welded joint.
Use ANN to Solve Function Regression Problem in Manufacturing
Authors: Fan Qi , Zhu Chang Jie , Wang Bao Hua , Xiao Jian Yu
Published: December 2010

Engineers often meet function regression problems in manufacturing. In this work, we use artifical neural network to solve this problem. We choose a typical function as the target function. Since the input value of the function is continuous, the output of the regression model should also have a continuous value range. We implement the feed forward neural network with back propagation learning algorithm, investigate different network parameters, and compare several different training algorithms. The performance assessment based on the test dataset is also discussed.
Project Team Formation Based on Knowledge and Cooperation Degree
Authors: Huang Xiao Rong , Guo Shun Sheng , Sun Li Bo
Published: December 2010

To aim at the project team formation problem, this study proposes a formation model based on knowledge and cooperation degree. The ability of individual member and cooperation degree of team members are considered. In addition ,it presents a way of measuring candidate’s ability about knowledge, and establishes a collaborative model to measure the cooperation degree between team members. Furthermore, a calculation method of knowledge and cooperation degree is proposed, and then a mathematical model is established. Finally it presented a solution base on Genetic Algorithm for this model.
Structure Adjustment and Sustainable Growth in Hebei Province with the Bondage of Energy Resources and Environment
Authors: Wu Qun Li
Published: December 2010

With the datum of output, energy consumptions and environment pollutions of 36 industries of HeBei Province during the period of 2005-2007, we first calculated the marginal values of GDP contributions, energy consumptions and environment damages each industry played on the whole provincial economy. Compared with the average values, the industries were further divided into four groups with the method of Four Quadrants, which are the ones of (High-Growth-Contribution, High-Energy-Consumption or High-Pollution), (Low-Growth-Contribution, High-Energy-Consumption or High-Pollution)), (Low-Growth –Contribution , Low-Energy-Consumption or Low-Pollution), (High-Growth–Contribution , Low-Energy-Consumption or Low-Pollution). Based on this division, we put forward the suggestions of structural adjustment for each group of industries in views of sustainable development.
A New Design of RF Tag Location and Recognition
Authors: Liu Meng , Zhang Ke , Zhang Wei
Published: December 2010

In RF applications, tag orientation and collision that occurred when reader identify many tags at the same time are the main problems difficult to be solved. Identification and positioning to tags will be the main application in the further too. To solve the problem, a variety of algorithms have been proposed and obtained many good results. This paper gave a new idea to solve the problem from the tag side rather than algorithm, the main method is to add some transistors to the tag circuit. The circuit can supply high accurate location information to tags and then assist the reader to know their location; in tag identification the circuit can help part the tags in several groups according their different position. In the groups using corresponding grouping algorithm can enhance the anti-collision efficiency. The simulations in this paper have improved the added circuit is helpful to the accuracy of tag orientation and efficiency of multi-tag identification. From the detail redesign scheme we can conclude there is almost no increase in costs for the improvement of tags and the production process is easy, having well economic and feasibility.
GF-NSA: A Negative Selection Algorithm Based on Self Grid File
Authors: Yang Tao , Deng Hong Li , Chen Wen , Wang Zhe
Published: December 2010

The efficiency of traditional negative selection algorithm is too low to be applied. In our algorithm before the detector creation process, the structure of self data set is pre-treated to be a grid file, and the negative selection process is transformed into a data query procedure in the self grid file to improve the negative selection efficiency. Furthermore, each detector recorded its grid id to dynamically update itself along with the variations of self data in the grid.
A Mutual Information Based Image Measurement for Large Workpiece
Authors: Zhou Hu , Yang Jian Guo
Published: December 2010

Image measurement based on machine vision is a promising method for the precise measurements of machine parts. As for a large sized workpiece that exceeds the FOV (field of view) of the camera, image mosaic must be performed to implement measurement. The problematic behavior of image mosaic is the contradiction between the precision of mosaic and the complex of algorithm adopted. Mutual information as a similarity metric has been explained and introduced into the mosaic operation in this paper. To obtain a satisfactory mosaic effect and measuring precision, a machine vision based configuration that integrates the illumination setup and motion control schemes was built to ensure the accuracy. The precise motion control system was utilized to limit the search space and speed up the operation. Experimental results show that the precision of the image mosaic with mutual information as a similarity metric meets the requirements.
Blind Equalization Algorithm Based on Adaptive Genetic Algorithm and Wavelet Transform
Authors: Guo Ye Cai , Fan Kang
Published: December 2010

Constant Modulus Algorithm(CMA) has slow convergence speed and easily immerges in local minimum owing to lack of initialization theory. Aiming at these disadvantages, adaptive genetic parameters are introduced into constant modulus blind equalization algorithm based on Genetic Algorithm and Wavelet Transform(GAWT-CMA), and Constant Modulus blind equali- zation Algorithm based on Adaptive Genetic Algorithm and Wavelet Transform(AGAWT-CMA) was proposed. The proposed algorithm processes genetic parameters adaptively, which can not only save the excellence individual with large probability but also avoid stagnancy during the evolution process. So it is propitious to search the whole optimum solution in overall range. The performance of the proposed algorithm was verified by computer simulation with underwater acoustic channels.
Classifier Fusion Based on Inner-Cluster Class Distribution
Authors: Han De Qiang , Han Chong Zhao , Deng Yong , Yang Yi
Published: December 2010

Multiple classifier fusion is an effective way to improve the classification performance. In this paper, member classifiers are designed based on the training dataset’s different feature spaces. By utilizing ISODATA technique, various clustering results can be obtained in different feature spaces. For each member classifier (corresponding to one feature space), the given test sample is assigned to the cluster according to the distance between each cluster centroid and the test sample itself. The mass functions and the classification decision of each member classifier for the given test sample can be implemented based on the corresponding cluster’s inner-cluster class distribution. Then according to Dempster’s rule of combination, the multiple classifier fusion can be implemented. Experimental results show the rationality and efficacy of the proposed approach.
Research of Aviation Image Multiplication Based on the Fractal Interpolation Algorithm
Authors: Yu Qiu Shui , An Zhi Yong , Pan Tong , Gao Yu Han
Published: December 2010

The resolution of aerial images was low, because the aviation aerospace camera was far from the scenery when shooting. In order to see the object of the aviation images clearly,the aviation images should be enlarged to improve the resolution . As the complexity and irregularity of the aerial images, the texture features is lost and considerable error is caused by using the traditional methods. In this article, the fractal interpolation has been used to enlarge the images, which can not only overcome the shortcoming of the linear interpolation, but also maintain the fine texture features of the original images, which is helpful to obtain higher accuracy than the traditional interpolation.
A PSVM and Negative Binomial Model for the Patenting Evolution
Authors: Xu Sheng , Wang Man
Published: December 2010

In recent years, evaluating the patenting activity has gained a renewed interest in both growth economists and trade economists. An evolution model of the patenting activity is proposed by applying the potential support vector machine (PSVM) and the negative binomial model in this paper. The PSVM is used to features selection and negative binomial is used to evolution. The proposed method is feasible and effective by the results, and it provides a better forecast and estimate tool for the patenting activity. It also provides a novel way for the evolution design of the other engineering.
Parallel A/D Successive Data Acquisition Module Driver Design Based on VXI A24/D16
Authors: Zhu Wang Chun , Gao Hai Ying , Li Zhi
Published: December 2010

In many testing and controlling fields, a long time and continuous data acquisition is in great need to realize real-time monitoring, playback and analysis after signal gathering. The implementation of successive data acquisition module is an important way for the increase of system performance in VXI testing systems. The method of a parallel A/D successive data acquisition module driver design is presented in this paper. Finally, the soft test board of the module is developed.
DEHCA: Load Balance Clustering Algorithm for Energy Heterogeneous WSN Based on Distance
Authors: Zhang Ying , Sun Gui Ling , Li Wei Xiang
Published: December 2010

Considering the characteristics of energy heterogeneous and the requirement of load balance in Wireless Sensor Network (WSN), a novel clustering routing, DEHCA was presented for energy heterogeneous WSN (EHWSN). Based on Node Distance in EHWSN, new concepts as Residual Energy, Energy Consumption Rate, Centroid Superiority, and Cluster Head Carrier Capacity, were introduced to weigh the selection of cluster head and realize the energy heterogeneous load balance. Simulation shows that load balance clustering routing for EHWSN based on distance could better prolong the stability period and enhance the load balance capacity.
A Mathematical Modeling of Heat Transfer in Continuous Casting Slab
Authors: Zhang Qi , Yang La Dao , Wen Heng
Published: December 2010

A two-dimensional (2-D) heat transfer and solidification model has been established and applied to calculate the temperature distribution and solid shell thickness profile of a continuous casting slab in a steel plant. A finite difference method was used for the numerical simulation. For thermal analysis, the 2-D slice unsteady-state heat conduction equation with enthalpy convention was used. Meanwhile, non-linear material properties of specific heat and thermal conductivity as well as phase changes during solidification were considered in the model. The temperature distribution and solid shell thickness calculated by mathematical model agree with those predicted by industrial and experimental measurements. The model could also be used to predict the optimum process parameters on casting speed, heat removal rates and the water distribution of secondary cooling zone.
Job Shop-Scheduling Problems- Single Process
Authors: Mahdavinejad Ramezan Ali
Published: December 2010

In this paper, single-processors jobshop scheduling problems are solved by a heuristic algorithm based on the hybrid of priority dispatching rules according to an ant colony optimization algorithm. The objective function is to minimize the makespan, i.e. total completion time, in which a simultanous presence of various kinds of ferons is allowed. The process of finding the best solution will be improved by using the suitable hybrid of priority dispatching rules. Ant colony optimization algorithm, not only promote the ability of this proposed algorithm, but also decreases the total working time because of decreasing in setup times and modifying the working production line. By solving some problems as samples (i.e. Fisher's & Thomson's problems), this algorithm is compared with the others. The results show that when the size of the problem becomes lorger, the deviation from lower limit increases, but its rate decreases with the size of the problems, so that it reaches to its limit.
Dynamic Iterated Algorithm for RNA Pseudoknots Prediction
Authors: Li Heng Wu
Published: December 2010

Pseudoknots have generally been excluded from the prediction of RNA secondary structures due to its difficulty in modeling. Here we present an algorithm, dynamic iterated matching to predict RNA secondary structures including pseudoknots with O(n4) time. The method can utilize either thermodynamic or comparative information or both, thus is able to predict pseudoknots for both aligned and individual sequences. We have tested the algorithm on a number of RNA families. Comparisons show that our algorithm and loop matching method has similar accuracy and time complexity, and are more sensitive than the maximum weighted matching method and Rivas algorithm. Among the four methods, our algorithm has the best prediction specificity. The results show that our algorithm is more reliable and efficient than the other methods.
Applying Fuzzy Statistics and Clustering Analysis to Construct a Document Multi-Classification Model
Authors: Lin Yo Hsien , Chueh Hao En
Published: December 2010

Document classification is the procedure that a document is assigned into one of the predefined categories according to its content. In many cases, the content of a document may be involved in more than one issue; therefore it is reasonable to assign a document to more than one category. This kind of categorizing procedure is called multi-classification. Most of the document classification models have been designed for dealing with single-classification cases, therefore, a document multi-classification model is proposed. In this paper, the concept of fuzzy statistics analysis is used with clustering analysis to carry out the document multi-classification task. The results of experiment show that the performance of our multi-classification model is better.
Research of the Application of PBL Teaching Mode to Basic Computer Education in Colleges
Authors: Wu Peng , Liu Qi , Shi Heng
Published: December 2010

I have applied the currently advanced PBL teaching mode to basic computer education in colleges and received satisfactory results. In this paper, I will introduce the basic situation of PBL teaching mode, its main features, as well as some feelings and thoughts about the application of the PBL teaching mode to the teaching process of basic computer education.
Automatic Landmark Detecting by Flickr Photo Clustering
Authors: Liu Zheng
Published: December 2010

In this paper, we concentrate on how to automatic detect landmarks of a city leveraging the community-contributed collections of rich media on the Web, as landmark for a given city could provide helpful information for tourist guides. Our approach only need the user to provide the city name, and then submit it to Flickr website to obtain photos and related metadata. Next, these Flickr photos are clustered by simultaneously integrating multiple types of metadata which are related to Flickr photos. Finally, landmarks are mined from the photos clustering results. Experiments conducted on the photos in Flickr demonstrate the effectiveness of the proposed approach and our approach could enhance the performance of tourist guiding systems greatly.
Automatic Image Tagging via a Generative Probabilistic Model
Authors: Liu Zheng
Published: December 2010

We present an approach to tag image automatically via visual topic detecting and initial annotations expanding. Visual topics are detected from corel5k dataset by probabilistic latent semantic analysis (PLSA) model. For an image which is to be tagged, PLSA is used to find visual topic of this image, and then construct initial annotations set. After initial annotations are generated, we use a weighted voting scheme and Flickr API to expand initial annotations. After the above two process, we combine initial annotations and expanded annotations together to construct final annotations. From experimental results, the conclusions can be draw that our PLSA based image tagging approach works effectively.
Relationship between Kinematics Characteristics and Link Lengths in Crank-Rocker Linkages
Authors: Wang Cheng Zhi
Published: December 2010

According to the relationships of link lengths in crank-rocker linkages, the effective areas of link lengths for type I, type II and type III of the linkages were analyzed firstly. The relationship between the minimum transmission angles, extreme position angles and the link lengths were derived theoretically and drawn visually as variation trend maps and some conclusions are summarized. The conclusions can be used as guidance for optimal synthesis of crank-rocker linkages.
Research on VSR Process for Large Machine Tool Body
Authors: Li Chun Mei , Cui Feng Kui
Published: December 2010

In order to improve effect of VSR（vibration stress relief）for large machine tool body, the VSR process parameters must be optimized. This paper studies mechanism of VSR and determination principle of process parameters. Using finite elements method, the vibration modal analysis of large machine tool body are applied to determine VSR frequency, exciting position, supporting position and detecting sensor position. Based on analysis above, the harmonic response analysis is applied to work out relationship between exciting force and dynamic stress. In this way, the exciting force can be determined. The experiment result shows the determination method of VSR process parameter in this paper is feasible and effective. This method is worthy of application and dissemination for large size castings.
Neural-Fuzzy Control for Isolation Platform Based on Hexapod Parallel Mechanism
Authors: Zhu Wei , Kong De Jun , Deng Jia Ming
Published: December 2010

To widespread six-dimensional spatial vibration and shock in engineering, a novel device is present in which Hexapod platform is used as the main body and Magneto–rheological(MR) damper is used as a vibration control units installed at six branch chain. But the mathematics model for controlling is very complex because the multi-DOF model is highly coupling. In this paper, owing to the six chain vectors of the Hexapod mechanism are linear independence, which shows every branch of the system can be controlled by independent controlling algorithm. A neutral-fuzzy control algorithm is designed to achieve active vibration control a 2-DOF model. The results indicate that the effect of isolation after active control is obvious comparing passive control.
Electro-Hydraulic Proportional Speed Control on Walking-Beam Conveyer
Authors: Sun Chun Geng , Luo Jing , Liu Sen , Zhang Peng
Published: December 2010

Experimental analysis has been done for vibration and noise found in Walking-beam conveyer. Two possible solutions design have been proposed, which integrate with physical components on the speed control system. Because of the determine frequency of the valve, the only way to reducing the opening rate of the valve is using complex signal, which is not what I expect. My research is finding out how to use a simple signal to do complex speed control on Walking-beam conveyer. Through anglicizing the simulation of above design, select the appropriate system for speed control of the Walking-beam conveyer, which provides a theoretical basis and engineering practice for the electro-hydraulic proportional speed control and equipment in the application of non-ferrous metallurgy equipment.
Guiding Simulation Model Verification by Model Checking
Authors: Xia Wei , Yao Yi Ping , Mu Xiao Dong , Xing Fei
Published: December 2010

The accuracy and credibility of model is the most important determinant of development of Modeling and Simulation (M&S). There is a desperate need for an immediate practical solution to the problem of VV&A (Validation, Verification and Accreditation) of simulation systems. A discussion and experiment of the relative merits of informal methods and formal methods are provided in this paper. In spite of increasing simulation speed via parallelization, the number of problem cases that can be covered is not highly increased. On the other hand, formal methods have proven to be valuable techniques, but they require detailed specifications of systems and requirements, therefore they are not very accessible in practical simulation systems development. According to the exhaustiveness of formal methods, a Model Driven Architecture (MDA) based simulation VV&A framework guided by model checking is presented in this paper. This framework combines scalability of simulation with exhaustiveness of formal methods in order to get the best of both worlds for simulation model verification. It can provide more confidence in simulation models and increase the use of formal methods in the context of M&S by people that are not trained in formal techniques.
Teaching Reform and Study on Hydraulic Engineering Construction Based on CDIO Pattern in Higher Vocational Colleges
Authors: Wang Yu Qiang , Du Li , Wang Ying Hua , Chen Bin
Published: December 2010

The course of hydraulic engineering construction is a major course of hydraulic engineering, which covers the characteristics and teaching aims in higher vocational colleges. It analyses the teaching situation and problems in course teaching. This essay has deep thoughts of this course and makes some suggestions for reference.
Data Acquisition and Processing System for Vehicle's Braking Performance Based on Visual C++
Authors: Zhan Yong Fu , Sun Ren Yun , Zhang Xia
Published: December 2010

A new data acquisition and processing system for testing vehicle's braking performance which has the function of storage, real time display and analysis is designed and implemented based on Visual C++ and combined with the multi-function data acquisition card PCI2013. In order to improve the efficiency of the system, we have used multi-thread and multi-level buffer techniques to develop it. The preliminary test results indicate that the system can show the braking performance parameters such as the brake oil pressure, stop time, braking distance, braking torque real time, and draw the corresponding test and analysis curve. So it has been proved that the system can realize real time test, data processing and analysis, test results output and other functions automatically, quickly and accurately and has high feasibility and reliability from the preliminary test results.
Delaunay Triangulation-Based Hazard Area Avoidance for Spacecraft Safe Landing
Authors: Fei Si Miao , Zhao Yu , Yang Jun , Huo Lin
Published: December 2010

Safe landing for spacecraft on moon or the other planets is the basic premise for carrying on field survey and sampling research. When it comes to the spacecraft safe landing, the environment the spacecraft confronts becomes more complex. So the selection of landing area would influence the success landing probability of the spacecraft directly. The paper stands in reality and takes the factors such as craters and stones into account abundantly, which affect safe landing for spacecraft. Considering of the radiuses of obstacle spots (craters and stones) and the edge conditions of predestination landing area, we could find out the optimal landing area with the help of Delaunay Triangulation.
Importance-Performance Analysis Based on Choquet Integral with Respect to L-Measure
Authors: Lee Shu Juan , Liu Hsiang Chuan , Chen Shih Ming , Jheng Yu Du
Published: December 2010

In this study, the Web-based Multi-Survey System was adopted, one or two choices available among five options, to set up questionnaire to get a nine-point scale with network programs. As an empirical research, which was conformed to the policy of Ministry of Education to promote technology abilities for teachers in Taichung County in 2009, the important and satisfied survey from Teachers’ Free Software Application workshops was analyzed by four approaches which were Importance-Performance Analysis, Simple Logistic regression model, Choquet integral regression model with respect to λ-measure, and Choquet integral regression model with respect to L-measure. By comparing MSE, Choquet integral regression model with L-measure obtained the best performance. Two crosshairs which were Hollenhorst’s overall mean and Choquet integral regression model with L-measure were positioned for I-P matrix. From results, the L-measure model had shown better sensitivity about quadrant distribution, and reflected participants’ real responses. At the same time, it was definitely known what to keep up the good work, concentrate here, or possible overkill through assessing Importance and Performance of teacher’s workshops.
Implementation of the Object-Oriented Data Model in Oracle Database
Authors: He Li Jun , Wang De Gao , Bao Shu Zhe , Yun Jian
Published: December 2010

Oracle is a database management system supporting the object-oriented data model that is usually adopted by the storage technology of persistent object. This paper describes the main features and characteristics that an object-oriented database system must have to qualify as an object-oriented data model. The paper introduces how to describe and implement the main modeling elements of the object-oriented data model in Oracle database which are the main components of class diagram, including the class, attribute, method, inheritance and polymerization. The examples of SQL that the paper offers can successfully run in Oracle 10g.
An Array Nonlinear Kalman Tracker for Indoor GPS Signal
Authors: Ding Ji Cheng , Zhao Lin , Liu Jia , Gao Shuai He
Published: December 2010

To implement indoor GPS signal tracking in standalone mode when the tracking loop is unlocked and data bit edge is unknown, the paper develops a modified Viterbi Algorithm (MVA) based on dynamic programming, and it was applied for GPS bit synchronization. Besides, two combination carrier tracking schemes based on Central Difference Kalman Filter (CDKF) and MVA module were designed for indoor GPS signal. The testing results indicate that the methods can successful detect bit edge position with high detection probability whether or not the tracking loop is locked. The co-operational tracking scheme is still able to perform when the signal quality deteriorate.
Finite Element Analysis of Ballastless Track Rail-Floating Slab’s Dynamic Characteristics
Authors: Liu Lin Ya , Wang Jin , Lv Rui
Published: December 2010

By using the finite element analysis software ANSYS, a three-dimensional dynamic finite element model of ballastless track rail –floating slab was established. The model takes into account of the track irregularity case, the analysis the dynamic response characteristics of the rail and floating slab under the vertical force in the track structure. The results showed that: when the train load goes through the line, the dynamic response of the rails and floating slabs gradually increases to maximum and then decreases; the maximum response displacement of rail is at 0.625mm ~ 0.75mm and the maximum response acceleration values is in between 5000m/s2~6000 m/s2; the maximum response displacement value of floating slab is about 0.25mm, the maximum response acceleration value is between 0.8 m/s2~1.2m/s2.
Analyzing the Test of Problem Solving Abilities by Using GM(0,N)
Authors: Wu Der Bang , Ma Hsiu Lan
Published: December 2010

This paper is going to use Grey Model to analyze the research tool of abilities of problem solving. There are 10 questions in the Test of problem solving. The results of this paper is not only identify the easiest and the most difficult concepts for students, but also displays that the Grey Model can really found out the students’ abilities of problem solving, therefore the analysis of Grey Model is better than that of tradition method.
Research on Improved Multidimensional Scaling Localization Algorithm for Wireless Sensor Network
Authors: Tao Liang , Xu Shuai , Chen Hai Yong , Xun He Xu
Published: December 2010

Wireless sensor networks, which are energy limited, low hardware configuration and proneness to invalidation, puts a high demand on the positioning algorithm. Therefore the improved multidimensional scaling (IMDS) algorithm is proposed. In IMDS, firstly, local positioning areas (LPA) are established by an adaptive search algorithm. So the centralized multidimensional scaling (MDS) algorithm is changed into a distributed one. Then the shortest path distances between nodes on LPA are corrected with the geometric correction method (GCM) and adjusting weight correction method (AWCM). The distances between nodes become more accurate. Finally, with information of the public nodes of LPA and anchor nodes, we get the wireless sensor nodes coordinates through coordinate transformation by the SMACOF algorithm and the classical MDS algorithm.
An Improved Particle Swarm Optimization Algorithm Applied to the Unified Evaluation of Circularity Error
Authors: Wu Zhong Yong , Gou Jin , Cui Chang Cai
Published: December 2010

Minimum zone circle (MZC), minimum circumscribed circle (MCC), maximum inscribed circle (MIC) and least square circle (LSC) are four common methods used to evaluate circularity errors. A novel particle swarm optimization algorithm based on self-adapted comprehensive learning (ACL-PSO) is proposed to evaluate circularity errors with real coded strategy. In the algorithm, population learning mechanism and velocity mutation strategy are adopted. In the meantime, ACL-PSO is applied to the unified evaluation of circularity error. The experiment results evaluated by different methods indicate that the proposed algorithm not only converges to the global optimum rapidly, but also has good stability, and it is easy to generalize.
The Research of Extracting Minimal Decision Rules from the Decision Table in Rough Sets
Authors: Pan Wei , Huang Yi Jia , Wang Yang Sheng , Yang Hong Ji
Published: December 2010

Analyzes the traditional methods of extracting decision rules in Rough Sets, defines the concept of the decision dependability and proposes a novel algorithm of extracting short decision rules. Only the length of decision rules is extended when the current decision rules can’t classify all the samples in the decision table. At the same time, three methods are proposed to reduce the computational complexity: 1) defines the concept of bound coefficient, 2) only classify the samples with the same decision values at a time thus averting the time-consuming classification of the equivalence classes with different decision values, 3) defines the Remain set and only classify the samples in the Remain set, so the computational complexity will decrease proportional with the reduction of the samples in the Remain set. Above-mentioned methods can be used directly for incomplete information systems and have great practicability.
Simulation Study of Keyhole Formation during Laser Deep Penetration Welding
Authors: Wang Ren Ping , Lei Y.P.
Published: December 2010

The elaborated model solves the coupled equations of a laminar fluid flow and heat transfer to predict the temperature distribution in the weld pool. The enthalpy-porosity technique was employed to account for the latent heat during melting and solidification. The coupled effects of buoyancy and Marangoni forces are considered in this model. The volume-of-fluid (VOF) method was employed to track free surfaces of weld pool. The molten temperature distribution, velocity field and molten shape were calculated using FLUENT software. The results clearly demonstrate Marangoni flow significantly alters the characteristics of the thawing and solidifying process, and makes the molten wider and shallower.
Research on Flatness Error Measurement of Revolving Body End-Face
Authors: Guan Peng , Yu Tian Biao , Wang Wan Shan
Published: December 2010

According to problems of flatness error measurement of revolving body end-face, sampling method and evaluation method are studied in this paper. First, spiral sampling method is presented, in order to meet the needs of flatness error measurement sampling of revolving body end-face. Second, combined with least squares method, mathematical model applied to flatness error measurement evaluation of revolving body end-face is proposed. Finally, through the simulation, the mathematical model is proved to be correct.
Hypothetical Analysis on Basis of View
Authors: Wang Gui Lan , Wang Zhen Qi
Published: December 2010

With the development of computer’s hardware, main memory becomes bigger and bigger and can hold more data, so some operation before need disk I/O, now can be completed in main memory. In OLAP what-if or hypothetical analysis may need modify data or alter structure of cube, it should recalculate cube and is a long process. This paper presents how to do What-if analysis in main memory database environments and the experience shows that main memory OLAP is obvious superior to disk OLAP.
Study of Control Algorithm for Indirect Stabilized Optical Seeker
Authors: Xu Ye Feng , Zhang Zhong Yi , Li Kui , He Meng Ke
Published: December 2010

Indirect stabilization technology can make the optical seeker lower cost and more compact, but it will also decrease the system’s performance. In order to improve the line-of-sight (LOS) stabilization precision, the indirect stabilized seeker’s model and loop control algorithm must be deeply studied. In this paper, the dynamic model of LOS coordinate frame is created according to the working principle of indirect stabilization system; A new no-angle-error control scheme was proposed. For severse disturbance environment, a feedforward torque compensation control algorithm was proposed based on disturbance torque estimation. The simulation and experiment results show that the proposed control approach can make the system tracking the instruction angular rate quickly and exactly, and also have the strong disturbance resistance ability. The study result will have great significance to the indirect stabilization technology’s theory study and engineering application.
The Intelligent Controller Design of Parallel Online Mixing and Supplying Glue System
Authors: Meng Fan Hu , Sun Li Ping , Zhu Liang Kuan
Published: December 2010

In this paper, a novel control method by using parallel online mixing and supplying technology for glue system with multi-input, strong coupling and nonlinear was provided. The neural network controller design method is adopted to design the intelligent controller, in which one as the main controller and the other one as the identifier to revise main controller. Both advantages and disadvantages of the two neural network controllers were analyzed. Simulation results showed that both methods obtained a more favorable effect than the traditional control method.
Three-Dimension Reconstruction of Pit Corrosion Damage Morphology and Digital Simulation
Authors: Lv Sheng Li , Wang Zhen Guo , Xu Cheng Long , Zhang Wei
Published: December 2010

According to the various grey values at different regions in an image, a three-dimension (3D) solid model is reconstructed based on the pitting corrosion damage data obtained from the pre-corrosion accelerated experiment which is performed under four different time levels: 12h, 24h, 48h and 72h by CAD. An analysis procedure is developed using finite element analysis to predict stresses and the crack nucleation site due to corroded pits. Based on the observations on fatigue fracture section, the AFGROW software is used to simulate the influence of a variety of corrosion damages and corrosion pit depths on the specimen’s residual fatigue life. An effective and reliable engineering method for predicting fatigue life of corroded specimen is established on the base of this research work.
Finite Element Analysis of the Effects of Tool-Chip Friction on Cutting Temperature Field
Authors: Liu Sheng Yu , Guo Jian Ying
Published: December 2010

The heat generation caused by tool-chip friction and chip deformation strongly influences the tool wear and tool life in metal cutting processes. The focus of this paper is on the effect of tool-chip on cutting temperature field. A series of ¬finite element simulations have been performed, in which a modifi¬ed Coulomb friction law is used to model the friction along tool–chip interface. A tool rake angle ranging from 10° to 45°, a inclination angle ranging from 0° to 20°, and a friction coefficient ranging from 0.1 to 0.6 have been considered in simulations. The results of these simulations show that the maximum cutting temperature increases with the increasing of tool-chip friction coefficient at different rake angle and inclination angle. The form of tool wear mainly appears as crater wear when the friction coefficient is less than 0.5, and the cutting edge tends to split when the friction coefficient is larger than 0.6.
Design on Thin Walled Ring Rolling Machine with Fixed Driven Rollers
Authors: Zuo Z.J. , Tan X. , Li Yao
Published: December 2010

A new rolling machine with 12 pairs of driven rollers and idle rollers was innovated, which could roll thin walled rings. It is an advance technology could decrease produce cost, save energy and protect environment. According to working principle, the driven rollers were fixed and the machine only formed ring section shape. In equipment design, after designed transmission structure, key components such as electric motor, gears and bearings were designed and checked. According to 3D models, the experiment equipment was manufactured. A ball groove section thin walled ring was produced in this machine. The success of rolling experiment will be the foundation stone in breakthrough and progress for thin walled ring rolling process theories.
CAD/CAM/CAE for the Parallel Indexing Cam Mechanisms
Authors: Ge Zheng Hao , Huang Wei , Liu Wei Hua , Zhai Zhi Heng
Published: December 2010

This paper takes the parallel indexing cam mechanism as research object and analyzes the formation of the profile of cam. On the basis of Visual C++6.0 object-oriented method, we have successfully developed the CAD/CAE/CAM system of parallel indexing cam mechanisms, which provides the parameter input dialogue frame with friendly interface. We can generate accurate profile data by using it, then create the three-dimensional model of the parallel indexing cam and assemble it with other parts under the Pro/E environment. At last, we don’t build virtual prototype until we transform the model into ADAMS through special interface Mechanism/Pro. Finally, this paper has researched the theory of contact and collision, carries out the motion simulation. We have received many valuable conclusions of practical application through all of the process.
Modeling of Shape Memory Alloy Based on Hysteretic Nonlinear Theory
Authors: Zhu Zhi Wen , Wang Jin , Xu Jia
Published: December 2010

In this paper, a kind of SMA model based on hysteretic nonlinear theory was developed. Von del Pol nonlinear difference item was introduced to interpret the hysteresis phenomenon of strain-stress curve of SMA. The coupling relationship between strain and temperature was obtained in partial least-square regression method to describe the variation of stiffness with temperature. Based on above, the final relationship among strain, stress and temperature was set up. The result of significance test shows that the final model can describe the characteristics of SMA in different temperature well. The new SMA model broadens the region of temperature, and is easy to be analyzed in theory, which is helpful to application of SMA in engineering fields.
An Implementation of Intelligent CNC Machine Tools
Authors: Wang Chen Sheng , Wiegers Tjamme , Vergeest Joris S.M.
Published: December 2010

Improving the machining efficiency of CNC machine tools by introducing intelligence is now gaining more attention from both researchers and entrepreneurs. Based on the assessment of existing strategy of intelligent machine tool design, an implementation and preliminary evaluation of an intelligent CNC lathe has been reported in this paper. Techniques discussed in this paper are expected to benefit CNC machine tool researchers and designers in terms of the development of intelligent CNC machine tools.
Research on Constructing an Approximate Topological Graph and its Path Planning
Authors: Jia Kang , Hong Jun , Li Yun Long , Li Zong Bin
Published: December 2010

This paper proposes a new method to construct an approximate Topological Graph based on the traditional constructing voronoi diagram by discrete grids, which combines the PRM (Probabilistic Roadmap Method) path planning thought. By means of the approximate topological graph and the hierarchical thought, the efficiency of path planning is improved. Meanwhile, this method can reduce the unnecessary collision detection and can be effectively used in the path planning of mechanical produce. In the end, this method is analyzed and evaluated, and meanwhile some improvements and simulations about this method are given.
Research on Green Shipbuilding and Concurrent Green Ship Design
Authors: Li Jin , Yi Hong , Zhang Yu Fang
Published: December 2010

Green shipbuilding is the embodiment of sustainable development strategy in the ship manufacturing industry. The combination of concurrent engineering and green design forms concurrent green ship design. The connotation of green shipbuilding is discussed firstly. Then a kind of operation mode of concurrent green ship design is presented, and the main contents of the mode are analyzed finally.
Simulation Analysis on Dynamic Performance of Drilling Shaft Mechanism in PCB CNC Drilling Machine
Authors: Xiao Yong Shan , Song Fu Min , Zhao Zhen Yu
Published: December 2010

The development of PCB CNC drilling machine is toward high-precision and high-speed, and the impact of the join cannot be ignored. Based on the finite element software, the finite element model of the drilling shaft system including the joins is established; the modal analysis and the frequency response analysis are performed on the drilling shaft system, the natural frequencies and mode shapes are obtained; the effect of the different parameters on the natural frequencies is analyzed, and the basic data can be obtained from the analysis.