Applied Mechanics and Materials Vols. 602-605

Abstract: Based on the in-depth analysis of the structure of DXF, STL files, there is lots of code information in entities of the 3D entity information-stored DXF files, which isn’t good for the use of the valuable information, ASCII format of STL files store the normal vector and vertex coordinates as 3D graphics data for storage in a cramped construction, easy for reading. While binary format of STL files store the information in bytes by rules. Take box as an example, and VC++6.0 programming language is used to program the data information, so as to read and display DXF file information, conduct data transformation according to the set of transformation rules, finally realizing the DXF and STL’s file transformation and displaying content, providing convenience for the file data reading of different platforms.

Abstract: Due to difficult to building the complete rule base and low efficiency of rule-base reasoning (RBR), an approach combines the case-based reasoning (CBR) and fuzzy Petri net (FPN) model for conceptual design is proposed. Firstly, the similar cases are retrieved by CBR method from case base. The revision rules are established and represented by FPN. Secondly, mathematical principle of FPN is used to reason, which is beneficial to overcoming the disadvantage of low efficiency in RBR and helpful to case revision. The presented method could help designers, by referencing previous design cases, to make case revise quickly and finish the design requirement during product design. Finally, the implementation of proposed system is outlined and case study has been used to demonstrate the applicability and efficiency of the proposed approach.

Abstract: PeneloPET is a PET-dedicated Monte Carlo simulation toolkit, which is based on PENELOPE. This article describes the characteristics and the general process of PeneloPET simulation. Then we compare the simulation results of PeneloPET and GATE to model the GE Healthcare eXplore Vista microPET system respectively, including sensitivity and noise equivalent count rate. The results show that PeneloPET simulation data corresponds with the data from real scanners and GATE simulation, and proves PeneloPET is an accurate toolkit for PET simulation.

Abstract: In the industrial manufacturing process, most kinds of surfaces are processed by planar materials, but undevelopable surfaces are difficult develop to the plane. The approximation algorithms to develop a undevelopable surface is an important research topic in Computer Aided Geometric Design (CAGD). In this paper, we propose a new approximation algorithms based optimization algorithm. We guarantee the deformation vector make the minimum changes during the developing process. In the paper, some numerical example are given and the can illustrate the our method is effective.

Abstract: This paper establish a firing data calculation algorithm for the novel anti personnel / anti materiel multipurpose projectile (APAM), and the simulation results demonstrate the validity of the algorithm. The algorithm highly compatible with tank. The algorithm has very fast calculation speed, low requirement for hardware. The algorithm is helpful to improve the firing rate of the tank, reduce the equipment cost of new ammunition system.

Abstract: In view of the problem of increasingly serious air pollution nowadays, this paper adopts Nonlinear Auto Regressive models with Exogenous Inputs (NARX) and Support Vector Machine (SVM) for regression and prediction on the Air Quality Index (AQI). The results show that the mean squared error of train set, validation set and test set and correlation coefficient of train set, validation set and test set in NARX model are 0.0029, 0.0064, 0.0072, 0.9865, 0.9731, 0.9701, respectively. Meanwhile, the results in SVM model are 0.0119, 0.0347, 0.0159, 0.9083, 0.9612, 0.8891, respectively. The above data prove the advantage of the NARX method in the prediction of the AQI.

Abstract: To efficiently enhance the global search and local search of Differential Evolution algorithm ( DE), A modified differential evolution algorithm (MDE) is proposed in this paper. The MDE and the DE are different in two aspects. The first is the MDE Algorithm use a strategy of Pitch adjustment instead of original mutation operation, this can enhance the convergence of the MDE, the second is integrate the opposed-learning operation in the crossover operation to prevent DE from being trapped into local optimum. Four test functions are adopted to make comparison with original DE, the MDE has demonstrated stronger velocity of convergence and precision of optimization than differential DE algorithm and PSO.

Abstract: This paper proposes a new effective MHS algorithm to solve numerical optimization problems. The MHS algorithm first adopt a novel self-studying strategy, which makes it easy balance the global search ability and local development ability, prevent the MHS algorithm trapped into local optimal value. besides, the harmony memory consideration rate (HMCR), pitch adjustment rate (PAR) and bandwidth distance (bw) is changed with function values dynamically, it can effectively improve the convergence speed and precision of the algorithm Based on five test functions , experiments results obtained by the MHS algorithm are better than those obtained using HS, IHS and NGHS algorithm in the literature.

Abstract: LMS (Least Mean Square) algorithm performance is analyzed. Then something has been done on SVSLMS that is an improved variable step size LMS algorithm based on sigmoid function. The improved algorithm has faster convergence rate, stronger channel tracking capability, better anti-noise performance and steady-state error performance compared with SVSLMS, for it makes parameters and change with channel characteristics. Theoretical analysis is the same as computer simulation results, which proves that the performance of the improved algorithm is superior to SVSLMS algorithm.

Abstract: The evaluation of node importance is a very meaningful research in complex networks. This paper analyze the characteristics of complex network and consider the effects of nodes for the evaluation of node importance, introduces the idea of data field in theoretical physics and establishes the evaluation method of node importance based on topological potential in complex network. Through the theoretical and experimental analysis, it is proved that this method can evaluate the importance of node in complex network in a fast and accurate way, which is significant both to theory and practice.