Applied Mechanics and Materials Vols. 380-384

Abstract: To make full use of the hyperspectral data, the strong multi-collinearity in the data is supposed to be taken into account. With this study we evaluated three multivariate regression methods which are principal component regression, partial least square regression (PLSR) and stepwise multiple linear regression. Furthermore, to identify reliable winter wheat biomass predictive models, two different types of spectral transformations (continuum removal, first derivative) were combined with the three regression methods, respectively. Amongst these combinations, the respective combination of three regression methods and continuum removal got the highest estimation accuracy, especially, the combination of PLSR and continuum removal (R²=0.715, RMSE=0.218kg/m²). The experimental results demonstrated that PLSR is recommended for highly multi-collinear data sets. The combination of continuum removal and PLSR could improve the estimation accuracy of winter wheat biomass.

Abstract: Virtual reality technology with the help of computer hardware and software resources to create and experience the virtual world integration technology can realize the dynamic simulation of the real world,and the dynamic environment to the users attitude and language command could make a real-time response, making the user and the simulation environment to build up a real-time interactive relationship. With the Key parameters acquisition from sports technology and the quantification of technology action , we puts forward the application methods of virtual reality technology in the diagnosis the steps of Virtual reality technology :Calibration system posting signs to the tester Motion tracks capture the analysis of Collection of data.Discuss the virtual reality technologys effect and composition in sports.

Abstract: The shooting average of basketball is closely related to the shoot angle of basketball players and flight trajectory. Therefore, in the process of peacetime training, only by having a full understanding of basketball's flight path can we help the basketball players better adjust the shoot angle and improve the shooting average of basketball. Thus it can increase the training quality of basketball athlete. Based on this, this paper records the flight path of basketball by combining with the basic theory of aerodynamics in the process of basketball movement, taking advantage of 3 d image analysis technology and HD video recording equipment. Finally, based on Visual c ++ software image segmentation techniques, this paper analyzes the basketball flight data. And then according to the analysis results, various parameters of the basketball trajectories are successfully captured in the process of basketball player's shooting. Moreover, the curve is also obtained which is influenced by the basketball flight distance and athletes' shooting angle. Thus, it provides a reliable theoretical basis for the technical development and training of excellent basketball athletes.

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

Abstract: This study proposed a novel relational database data mining method based on the artificial neural network. It analyzed the disadvantages of the existed data mining methods and then introduced the novel algorithm. This algorithm discovered the implicit knowledge by training the data samples in the database. This study introduced the artificial neural network method training model and algorithm, and tested the method by an example.

Abstract: To analysis the sortie generation rate (SGR) of carrier-based aircrafts, an analytical method based on closed queueing network was carried out. A multi-class, multi-server non-preemptive (or Head of Line, HOL) closed queueing network model was developed. An approximate method based on reduced work-load assumption and mean value analysis (MVA) iteration was used to gain the performance of the network. As a result, this approximate method can provide the marginal distribution of aircrafts at each service facility of the queueing network.

Abstract: The article presents an approach to the three-dimensional reconstruction of vertebral column based on shape matching. Technique is established on the basis of marching cubes algorithm, through the rotated transformation and perspective projection toward every 3D model of vertebration, the projection drawing which is similar to the corresponding vertebration in the computed tomography is formed. Then, through the matching of the projection drawing and the corresponding vertebration in the CT, we can obtain the experimental result by adjust rotation parameters according to the matching outcome. The last step is to record the rotation parameters α, β and the translation parameters h, v, and by justifying the according parameter of the vertebration model in the standard vertebral column model based upon the circumgyrate of every vertebra and the translation parameters, the post-model of vertebration is reconstructed by means of visualization technology. The experimental result turned out that the reconstructed 3D model has a commendable matching attribute and meticulous accuracy compared with the real spinal column. Even the quality of the experimental CT is not so satisfied, the technique can still process match and reestablish the exact model column.

Abstract: This paper systematic analysis the factors which affect the feasibility of helicopter route from the point view of GIS. The affecting factors will be divided into geographical and non-geographical influencing factors. Based on calculate the geographical influencing factors precisely, establish the comprehensive multi-level evaluation model and give an example show how to calculate and judge the routes feasibility whether or not, this method can make decision and choose flight route for helicopter more scientific and rationally.

Abstract: This paper uses MapReduce parallel programming mode to make the Ant Colony Optimization (ACO) algorithm parallel and bring forward the MapReduce-based improved ACO for Multi-dimensional Knapsack Problem (MKP). A variety of techniques, such as change the probability calculation of the timing, roulette, crossover and mutation, are applied for improving the drawback of the ACO and complexity of the algorithm is greatly reduced. It is applied to distributed parallel as to solve the large-scale MKP in cloud computing. Simulation experimental results show that the algorithm can improve the defects of long search time for ant colony algorithm and the processing power for large-scale problems.

Abstract: According to the characteristics of high precision and massive amounts of data processing during real-time network forensic, combining the defects of traditional Apriori algorithm which scan data sets more times, the paper improved Apriori algorithm, the data set is divided into parallel processing blocks, and then use dynamic itemsets counting method weight each block to construct tree, and depth-first search the tree, mark the data set which is divided out of the data block, and dynamic evaluation all the items set which has counted in order to acquire frequent itemsets, reducing the number of scanning, improved data processing capability of network forensics, use K-mediods algorithm for secondary mining to improve the accuracy, reduce network data loss, improve legal effect of network crime evidence.