Applied Mechanics and Materials Vols. 58-60

Abstract: The influences that different histogram matching algorithms have on identifying the softwood are research in this paper. The experiment partitions images according to three different ways of early wood-late wood transition, early wood, and randomization, and extracts the PCA(Principle Component Analysis) features of these wood images separately. Dividing Histogram matching algorithm into two categories of, bin-to-bin and cross-bin, experiments are conducted on wood recognition by four different histogram matching algorithms of the Euclidean, Chi-Square, EMD and Quadratic-Chi. The experimental results indicate that the histogram matching algorithms of cross-bin have the good effects on wood recognition, especially the quadratic-Chi distance put forward recently.

Abstract: Ontology is applied to agent modeling and reasoning is one approach for research on agents. Modeling virtual battlefield based-on ontology is proposed to support computer generated forces base-on agent technology. Researches of ontology being applied to military modeling and environment modeling are analyzed. The virtual battlefield ontology model is presented. The model includes four domains: nature environment, physical objects, situation and operation plan. Models of the four domain ontology are built. The model provides consistent semantic representation and common understanding for knowledge sharing in military simulation and computer generated forces.

Abstract: A fractal is a property of self-similarity, each small part of the fractal object is similar to the whole body. The traditional box-counting method (TBCM) to estimate fractal dimension can not reflect the self-similar property of the fractal and leads to two major problems, the border effect and noninteger values of box size. The modified box-counting method (MBCM), proposed in this study, not only eliminate the shortcomings of the TBCM, but also reflects the physical meaning about the self-similar of the fractal. The applications of MBCM shows a good estimation compared with the theoretical ones, which the biggest difference is smaller than 5%.

Abstract: Three-dimensional laser scanner is adopted to protect and study on Lianyungang City General Cliff petroglyph by institute of key cultural relics protection. Through the high-precision scanning by Surphaser for important locations, including the faces, crops, chessboard, milky way, meridian, society, the Sun and so on, three-dimensional dates of 22 stations were obtained. After splicing these points cloud by Leica Cyclone, AVI video was generated on the basis of development path of camera, and a complete animation video was obtained by video editing software at last. The results show that three-dimensional laser scanner can be used for fast, accurate completion of rock digital and the effect on the conservation and research of cultural relics protection is very favorable.

Abstract: We proposed a two-layer scheme of Deoxyribonucleic acid (DNA) based computation, DNA-01MKP, to solve the typical NP-hard combinatorial optimization problem, 0-1 multidimensional knapsack problem (0-1 MKP). DNA-01MKP consists of two layers of procedures: (1) translation of the problem equations to strands and (2) solution of problems. For layer 1, we designed flexible well-formatted strands to represent the problem equations; for layer 2, we constructed the DNA algorithms to solve the 0-1 MKP. Our results revealed that this molecular computation scheme is able to solve the complicated operational problem with a reasonable time complexity of O(n×k), though it needs further experimental verification in the future. By adjusting the DNA-based procedures, the scheme may be used to resolve different NP-hard problems.

Abstract: The evolutionary neural network can be generated combining the evolutionary optimization algorithm and neural network. Based on analysis of shortcomings of previously proposed evolutionary neural networks, combining the continuous ant colony optimization proposed by author and BP neural network, a new evolutionary neural network whose architecture and connection weights evolve simultaneously is proposed. At last, through the typical XOR problem, the new evolutionary neural network is compared and analyzed with BP neural network and traditional evolutionary neural networks based on genetic algorithm and evolutionary programming. The computing results show that the precision and efficiency of the new neural network are all better.

Abstract: In this paper, lots of digital simulations of transformer magnetizing inrush current and fault current have been done through Matlab software. A neural network method used to identify magnetizing inrush current has been proposed and established. The simulation results show that this method can identify magnetizing inrush current well, with high accuracy.

Abstract: By the optimization of piping models, this paper comes up with some 3-dimensional modeling methods on the basis of OpenFlight API, and solves the critical issues of modeling. In addition, it also establishes a quick modeling means of 3-dimensional underground piping, which is directly formed by databases, drawings, and DXF files, thus realizing the quick modeling of macroscopic underground piping.

Abstract: Electronic in-process dressing (ELID) grinding will be a main technology of ultra-precision grinding which has been widely adopted to the ultra-precision and high effectively machining of hard and brittle materials. This study puts forward a new environmental friendly bamboo charcoal bonded (BCB) grinding wheel and develops a new ELID grinding fluid. An oxide layer is mostly determined by the electric performance of grinding fluid in the experiment. This paper founds a model to forecast grinding fluid’s electric performance by BP neural network and MATLAB. This method can be used in developing of ELID grinding machining fluid to improve the ELID grinding effect.

Abstract: During the fitting of parametric curves and surfaces, selecting the parameters based on original points is very important, because it will affect the result of the fitting. In this paper an improved method of fitting surfaces by improving the parameters is proposed, this method is based on original points to interpolate NURBS curves and surfaces, it uses uniform knot vector, which is not affected by the distribution of original points, and it can reduce the amount of computation and improve some phenomena, such as break points and encircle. The results show that using this method can get satisfying figures.