Applied Mechanics and Materials Vols. 40-41

Abstract: In order to improve the capability of scrambling encryption and anti-aggressive, we extended the two-dimensional Arnold transformation to three-dimensional, and designed one kind of new diffusion equation of the digital image pixel gray value, then introduced a novel digital image encryption algorithm based on them. The large number of simulation results and analysis have both shown that the proposed scheme is a very effective encryption algorithm.

Abstract: A robust and efficient key management scheme is necessary for mobile ad hoc networks (MANETs) to ensure its security. CPK (Combined Public Key) is a recently developed public key algorithm, which has advantages comparing with other public key system, such as low storage overhead and calculation demand. Some key management approaches based on CPK have been proposed for MANETs in recent years. However, CPK is vulnerable to collusion attack which may bring about terrible threats. In this paper, a novel key management scheme based on double matrix CPK (DMCPK) is put forward, which is resistant to collusion attack. This key management scheme is described in details, including key generation and updating. Simulation experiments are implemented based on the simulation tool OPNET and show the effectiveness of the proposed scheme.

Abstract: We proposed a efficient and intuitive method to show the Online image retrieval result for searching information. The method incorporates visualization techniques in content-based image retrieval to show the hidden information in the result. We incorporated image browsing into online image retrieval. We give users a initial display based on PageRank, then use the users’ feedback to compute similarity function, then we compute the dissimilarity between images, get the position of images in the display space. If users are not satisfied with the display, they may feed back some more interested images to the system to improve the display. With the interactions provided by the system, users can browse a large number of images efficiently and find the exact images fast.

Abstract: To reduce the pseudo-Gibbs effects and the “curvelet like” aliased curves resulted from using curvelet transform for image denoising, we proposed a noise removal method which combines computational harmonic analysis and variation. Firstly, we presented a nonlinear reaction-diffusion digital filter based on Nordström energy functional. For effectively overcoming speckle noise due to the reaction-diffusion process of digital filtering and the ill-posed of diffusion coefficient, we gave an improved model by introducing curvelet smoothing operator and the new diffusion function. Numerical results show that the model is not only for images with Gaussian noise, Salt&pepper noise or Speckle noise, but also suitable for mixed noise, the denoised image has higher PSNR and good visual effect.

Abstract: The problem of fatigue is becoming one of the factors impacting on the working and studying people. Therefore, how to detect whether the people are tired simply and effectively is paid attention to by more and more researchers. A novel method of fatigue testing based on fuzzy logic and image processing is proposed in this paper. Firstly, positive map and side elevation are extracted through camera device. Then motion detection determined to locate human faces and the frequency of eyes opening and closing is derived by using image processing techniques. Finally the angle between the head and the shoulder is calculated combined with a representation of time function and a fatigue threshold is set up. All of these are determined to estimate the degree of fatigue. Experimental results show that, the method can quickly detect the degree of fatigue simply.

Abstract: There exists relationship of mutual benefit and interaction between informatization¬ and the traditional industrial upgrading. Penetration of information technology can promote sustainable development of traditional industry, so as to carry out industrial structure upgrading. We should transform traditional manufacturing of Yantai by informatization and build up the new industry system which has international competitiveness. The key is to strengthen system innovation, information technology innovation, and dominant industries informatization and supply chain management informatization.

Abstract: This paper firstly analyzed the complicated educational network security conditions, especially its’ real-time protection problems; then introduced principle of UTM (United Threat Management) ，and applied the new UTM technology ---Multi-Core UTM in a BIGC’s LAN, at last made a related analysis of this project.

Abstract: The purpose of image optimization is that the salient region of image is stand out, and is layout an image met the demand. The existed image optimization method is summarized, and their advantages and disadvantages respectively analyzed. The improved visual attention model is described, and is used to detect the salient region of image. The parameters of image optimization are calculated by the optimization function of image layout rules. At last, the weights of the images optimized parameters are adjusted by the image layout and adjustment function based on image optimized parameters, to achieve image layout and obtain the most optimal image, to realize image optimization. Experimental results validate that this methods not only achieve image optimization, but also accurately and automatically achieve to shorten distance and enlarge salient regions, improve the quality of the image optimization, and has good robustness.

Abstract: An image registration based on feature points Krawtchouk moments is proposed. Moments are the shape descriptors based on region. Krawtchouk moments are a set of discrete orthogonal moments and are more suitable for describing two-dimensional images compared to Zemike, Legendre moments. In the image registration based on feature points Krawtchouk moments, Krawtchouk moment invariants of the feature points neighborhood that have been extracted are solved, and then these Krawtchouk moment invariants constitute feature vectors used to describe the feature points, finally feature points are matched by calculating the Euclidean distance of feature vectors. The results of experiments show that Krawtchouk moment is simple and effective to describe image and is independent of rotation, scaling, and translation of the image.

Abstract: This paper constructs a dyadic non-subsampled Contourlet transform for denoising on the image, the transformation has more directional subband, using the non-subsampled filter group for decompositing of direction, so has the translation invariance, eliminated image distortion from Contourlet transform’s lack of translation invariance. Non-subsampled filter reduces noise interference and data redundancy. Using the feature of NSCT translation invariance, multiresolution, multi-direction, and can according to the energy of NSCT in all directions and in all scale, adaptive denoising threshold. Experimental results show that compared to wavelet denoising and traditional Contourlet denoising, the method achieves a higher PSNR value, while preserving image edge details, can effectively reduce the Gibbs distortion, improve visual images.