Applied Mechanics and Materials Vols. 543-547

Abstract: Three-dimensional 3D modeling, surgery simulation and face prediction of the maxillofacial soft and hard tissue has a great significance for the study of facial growth and development, diagnosis and treatment of facial deformity and postoperative face prediction and treatment evaluation. Based on maxillofacial 3D modeling and measurement analysis, real-time variable model is set up. In virtual environment, image feedback, force and tactile perception in combined together surgical simulation. Furthermore, the system of surgical prediction and postoperative results display is proposed, which has great value and clinical significance.

Abstract: This Compared with the traditional text classification model, the Tibetan text classification based on N-Gram model has adopted N-Gram model in terms of the level of word. In other words, during the text classification, word segmentation is not required. Also, feature selection and abundant pre-treatment processes are avoided. This paper not only carried out profound research on N-Gram models, but also discusses the selection of parameter N in the model by adopting Naïve Bayes Multinomial classifier.

Abstract: In FAHP, discontinuous scale, such as 0.1-0.9 scale, is usually used to get fuzzy judgment matrix. But when evaluating system is complex or index systems are too many, we may get stuck in a comparison dilemma by using 0.1-0.9 scale, resulting in a fuzzy judgment matrix of poor consistency. This paper improved 0.1-0.9 scale and established 0-1 continuous scale. We first apply 0-1 three scales to get a comparison matrix, and then converted it into a fuzzy judgment matrix according to 0-1 continuous scale.

Abstract: Bilinear derivative method is widely used in calculating multi-soliton solutions of some nonlinear evolution equation. The paper proves some frequently used properties of bilinear derivative from the perspective of the definition of bilinear derivative, hoping to be useful for learning and teaching in nonlinear science.

Abstract: In the field of information confusion, evidence theory takes advantage of its uncertainties. But in practical evidences are always mutually independent, However, multi-source information fusion is a comprehensive integration and then obtaining decision-making, sometimes the result of information fusion give us wrong conclusion. So an improved information fusion algorithm is proposed in this paper. It can heighten the information confusion reliability and accuracy in a practical example.

Abstract: With the web information dramatically increases, Distributed processing of mass data through a cluster have been the focus of research field. An efficient distributed algorithm is the determinant of the scalability and performance in data analyses. This dissertation firstly studies the operation mechanism of Storm, which is a simplified distributed and real-time computation platform. Based on the Storm platform, an improved K-Means algorithm which could be used for data intensive computing is designed and implemented. Finally, the experience results show that the K-Means clustering algorithm base on Storm platform could obtain a higher performance in experience and improve the effectiveness and accuracy in large-scale text clustering.

Abstract: Hough Transform ^[ has become a common method in the usage of line detection because of its robustness. It is important in computer vision and image analysis. Usually, the standard Hough transform method (SHT) transform the points in image space into parameter space and vote for all the possible patterns passing through that point. But, there are two serious problems in the standard method of line detection. The first is the high computation complexity and the second is the large storage requirements .In order to solve the two problems, this paper raise a fast-Hough transform algorithm base on pyramid algorithm. First of all we need to desample the primitive binary image with n times; and execute the Hough transform in the nth level image to get the parameter of straight line in this image, which is used in the n-1 level image. Finally we can get the parameter of lines in the primitive image. Experiments show that this method can extremely reduces the computational time.

Abstract: Relaxed technique is one of techniques for improving convergent rate of splitting iterative methods. In this paper,we study the convergence of both local relaxed parallel multisplitting method associated with USAOR multisplitting for solving a large sparse linear system whose coefficient matrix is an H-matrix.

Abstract: The over-spread character and randomness of chaos can be used to initialize population and improve the searching speed, and the initial value sensitivity of chaos can be used to enlarge the searching space. In order to resolve these problems, we put forward a new design of the intelligent lock which is mainly based on the technology of wireless sensor network. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by using density calculation of immune theory and adjusting new chaos sequence. The paper gives the circuit diagram of the hardware components based on single chip and describe how to design the software. The experimental results show that the immune genetic algorithm based on chaos theory can search the result of the optimization and evidently improve the convergent speed and astringency.

Abstract: The creasing of textiles was evaluated by means of the innovative method of measuring the angle of recovery. Our aim is to find statistically significant features contributing to the determination of creasing materials. For this purpose, to identify the inner structures of data, the method of PCA analysis was used a method with latent variables. By means of PCA analysis (method of principal components) the original nine characteristics can be reduced to two latent variables, i.e. principal components. The structure and links among the examined features are characterized by methods like: Scree Plot, Score and component loading, Scatrerplot and Dendrogram.