Applied Mechanics and Materials Vols. 347-350

Abstract: The system is based on DES/3DES, AES cipher algorithm as the research object.According to the characteristics of the algorithm, designs a configuration mode which can share resource in space and configurate algorithm in time. Then it uses hardware description language Verilog HDL to realize and optimize the design, and completes a custom reconfigurable DES/3DES/AES encryption/decryption IP core. By SOPC technology, the IP core, Nios II processor, network controller and other function. The design hardware structureis simple, flexibility, security, which can be widely used in the field of informationsecurity.

Abstract: Complete quantization principle is proposed in this paper, based on which, an adaptive semi-fragile watermarking algorithm based on image contents is proposed. The algorithm uses the low frequency sub-band to construct watermarking related to the content of image, and then uses just noticeable difference of wavelet domain to embed watermarking by means of complete quantitative principle. Experiments show this algorithm can classify malicious and non-malicious manipulations accurately.

Abstract: In order to improve accuracy and speed of image mosaic, an optimized algorithm of image mosaic based on corners is presented. Frequency phase correlation is used to estimate the overlapping area, in which improved Harris operator is used to extract corners. Then, rough and RANSAC accurate matching will be completed. Finally, image variance combined linear weight function is used to implemented image fusion and mosaic, and it presents quantitative analysis method about registration accuracy. Experimental results show that this algorithm exceeds existing ones at matching speed about 40%, and has a desired visual effect. The MAD and RMSE of corresponding points is within 1 pixel precision.

Abstract: With the popularity and development of the network, the support of the high-performance computer technology becomes increasingly important as the huge information storage and the convenience of Information retrieval function of the internet that attracts more and more people join the netizens team. Therefore, I proposed an Information Processing Platform based on the high performance data mining in order to improve the Internet mass information intelligence parallel processing functions and the integrated development of the systems information storage, management, integration, intelligence processing, data mining and utilization. The propose of this system is to provide certain references and guidance for the technology implementation and realization of the high performance and high efficiency network massive Information Processing Platform as on the one hand, I have analyzed the key technology of the implementation of the platform, on the other hand briefly introduced the implementation of the RDIDC.

Abstract: According to the different features of 3D elements in the coalbed methane (CBM) surface and underground drainage system in the coal mining area, and adopting the 3DMAX static modeling of the drainage equipment and the dynamic modeling of the geological body based on the borehole data, the 3D model of the CBM drainage element in coal mining area is realized. Applying the techniques such as the original data analysis to control the accuracy of the interpolation algorithm, and the blanking and cutting of the window, the visualized functions of the 3D elements such as the multiple-angle observation, magnification, roaming, rotation, translation, stack, peel, transparency and texture treatment are realized.

Abstract: Collaborative learning is becoming a very important teaching mode in course teaching. This paper puts forward a dynamic collaborative learning oriented knowledge model and course teaching mode, and then designs the process of course teaching. Different leaning modes are used for different kind of course knowledge to fulfill the collaborative leaning and personalized individual leaning.

Abstract: System analysis is a main part of military system simulation. Six-element analysis method is integrated the advantage of system analysis method for function and system analysis method for entity. This method analyses the system through its connotation, category, structure, function, state and operation. It provides an operable way to describe static character and dynamic character.

Abstract: Stock index series is Non-stationary, Nonlinear and factors with impact on stock index fluctuation are complex, a time series forecasting model combined ARIMA model and wavelet neural network is presented. The combined model uses BP neural network as the main framework, uses wavelet basis function instead of transfer function in the network, also add some inner factors of the time series mining by ARIMA model, as the part impute of Wavelet Neural Network. So it is more scientific and rational that using inner factors and external other factors. The last simulate experiment shows that the wavelet neural network forecasting model based on ARIMA has higher accuracy than ARIMA model or BP network.

Abstract: In this paper we use the same idea as the complex analytic dynamics to study general Mandelbrot sets and Julia sets generated from the complex non-analytic iteration . The definition of the general critical point is given, which is of vital importance to the complex non-analytic dynamics. The general Mandelbrot set is proved to be bounded, axial symmetry by real axis, and have (m+1)-fold rotational symmetry. The stability condition of periodic orbits and the boundary curve of stability region of one-cycle are given. And the general Mandelbrot sets are constructed by the escape-time method and the periodic scanning algorithm, which present a better understanding of the structure of the Mandelbrot sets. The filled-in Julia sets Km,c have m-fold structures. Similar to the complex analytic dynamics, the general Mandelbrot sets are kinds of mathematical dictionary or atlas that map out the behavior of the filled-in Julia sets for different values of c.

Abstract: Aiming at the defect that BP neural network classification model takes a long time for network training and the condition that wavelet network model lacks of direction information description, the paper presents a method for SAR image classification based on Brushlet and self-adaptive ridgelet neural network. The method extracts the energy and phase feature of SAR image texture through the Brushlet transformation, and inputs the feature vector that describes the energy and phase information into self-adaptive ridgelet neural network for training and classification. The contrast experiment indicates that the classification method proposed in this paper is rapid and accurate, and outperforms the traditional methods.