Applied Mechanics and Materials Vols. 263-266

Abstract: On the basis of the established finite element model, the strength and stiffness of structure of bus body frame were analyzed under working conditions of bending and twisting in static state. The nodes of maximum stress and maximum displacement were identified, which could provide a reliable basis for follow-up lightweight structural optimization designs.

Abstract: To get complete and accurate triangular mesh model in reverse engineering, the hole-filling operation is indispensable. This paper presents a new feature preserving hole-filling algorithm based on the feature line extraction. Firstly, the hole and its neighborhood were obtained. Then, the feature lines in the hole region were extracted which were used to divided the hole to several single surface holes. To each hole, triangulation and subdivision were performed. Finally, the new added vertices in the hole were moved to the underlying surface which was approximated by the hole neighborhood. The experimental results demonstrate that our mesh hole-filling algorithm can effectively recover the original shape of the hole.

Abstract: To solve the problem of invalid and not optimal result for Hopfield neural network to logistics distribution, a nearest neighbor mode Hopfield neural network algorithm based on improved-loop is constructed. The solution of logistics distribution is initialized by nearest neighbor matrix, to seek optimized solution of logistics distribution with the energy function evolvement of Hopfield neural network. To verify this algorithm and the result of simulation, which is compared to other well-known algorithms, indicated that , nearest neighbor mode Hopfield neural network algorithm would avoid invalid result, and better than other well-known algorithm both in convergence rate and quality of optimization.

Abstract: The technique of blind watermarking is one of key technology for copyright protecting. By applying generalized Gaussian distribution to statistically model the Alternating current coefficient of discrete cosine transform, an adaptive blind watermark detection algorithm is presented on the basis of sign detector and linear correlate detector and its probability efficiency is deduced. The experimental results show that the performance of the new detector is better than that of linear correlate detector.

Abstract: In order to improve the supervision of TV commercials and reduce the illegal ones, it is necessary to develop a system to detect TV commercials in real time. One of the key points is to detect video shot changes. We put forward a novel method of image matching for shot change detection: firstly, a feature coding is introduced for describing image local gray level distribution; secondly, image matching is performed according to the feature coding; thirdly, shot changes can be detected. A preliminary system of video shot change detection is developed. Experiments show that the algorithm is better than traditional algorithms and can well meet the need of TV Video shot cut detection.

Abstract: According to the optical theodolite shooting infrared aircraft digital image, this paper discusses influences of different types of structural elements on edge detection, through the experiment, aircraft edge detection effects plays a role in determining the structural elements of the radius and the style founded on, the advantages and disadvantages of Image Edge Segmentation Algorithm are analyzed. The test results show that: the use of morphological image processing method can effectively restrain the noise. Structure type and the radius selection can effectively detect infrared aircraft edge and guarantee the attitude measurement precision.

Abstract: Feature selection is one of the important topics in text classification. However, most of existing feature selection methods are serial and inefficient to be applied to massive text data sets. In this paper, a feature selection method based on parallel collaborative evolutionary genetic algorithm is presented. The presented method uses genetic algorithm to select feature subsets and takes advantage of parallel collaborative evolution to enhance time efficiency, so it can quickly acquire the feature subsets which are more representative. The experimental results show that: For macro-average and micro-average , the presented method is better than three classical methods: Information Gain、x2 Statistics、 Mutual Information. For the consumed time, the presented method with a CPU is inferior to the above mentioned three methods, but the presented method is superior after using the parallel strategy.

Abstract: This work presents a method based on the image content for digital halftoning using K-means clustering theory. Our algorithm applies to both a printer model and a model for the human visual system (HVS). The method strives to minimize the perceived error between the continuous original image and the halftone image. First, the gray image is partitioned into two, three and four regions using K-means image segmentation method, whose performance depends on the selection of distance metrics. Next, the statistics of average gray value of each clustering is calculated. Each clustering uses the least-squares model-based(Lsmb) algorithm to obtain halftone image. Finally, analysis and simulation results show that the proposed algorithm produces better gray-scale halftone image quality when we increase the number of clustering with a certain range. A performance measure for halftone images is used to evaluate our algorithm. The value of MSEv, WSNR and PSNR for two partitions is almost the same as that of the Lsmb algorithm, but for three and four partitions that the proposed algorithm achieves consistently better values of MSEv, WSNR and PSNR than the Lsmb algorithm.

Abstract: This paper selects the main factors that affect the production efficiency of a container terminal. And its performance analysis is presented using Petri net and heurist algorithm on the basis of analysis of port’s dispatching in logistics system. Transportation route model of port’s dispatching system is set up based on Petri Net, and optimizing of system based on A* algorithm performance is carried out. It shows that this model can increase the overall terminal system efficiency at a greater extent, improve terminal equipment’ utilization and reduce idleness effectively

Abstract: Traditional reliability analysis is based on probability statistics. However, it is very difficult to collect firsthand enough and accurate data in practical work. In reliability analysis, sometimes we need to estimate the probability of system fault but do not necessarily use exact value to express the probability. In this paper, the author will adopt fault tree, analyze the failure rate of specific parts of a certain missile so as to fuzzify it by the fuzzy theory and calculate the fuzzy operator, find out the fuzzy probability of missile fault, and then forecast and analyze the reliability of missile based on the above result.