Applied Mechanics and Materials Vol. 610

Abstract: Using HLS to optimize C++ code,the feature of large-scale motion on the Optical Flow tracking algorithm has been implemented in the vision navigation system. Embedded coprocessor input and output image, FPAG unit exchange date with coprocessor. A complete embed design in Zedbaord that is include FPAG and ARM. The FPAG and ARM collaborative design of a processing system accelerated algorithm speed and restructured the hardware and software frame.

Abstract: According to the situation that traditional speech authentication algorithms don’t be appropriated for present speech communication, we proposed a speech authentication algorithm of perceptual hashing based on Immittance Spectral Pairs. It can satisfy the requirement of the efficiency and the robustness for speech authentication. Firstly, the speech signal pre-processing, for framing, adding window, obtained for each speech frame immittance spectral Pairs parameters, constitute an immittance spectral Pairs parameter matrix. Then process cepstral mean and variance normalization for immittance spectral Pairs parameter matrix, cepstral mean and variance normalization can effectively improve the robustness of the Gaussian white noise. And parameter matrix for non-negative matrix factorization. Finally, quantifying the formed weight matrix and getting perceptual hashing sequences.Experiments show that the proposed algorithm has good robustness for content preserving operations, and it doesn’t reduce the efficiency while meeting robustness, it can satisfy the real-time requirement of speech communication.

Abstract: Complex background, especially when the object is similar to the background in color or the target gets blocked, can easily lead to tracking failure. Therefore, a fusion algorithm based on features confidence and similarity was proposed, it can adaptively adjust fusion strategy when occlusion occurs. And this confidence is used among occlusion detection, to overcome the problem of inaccurate occlusion determination when blocked by analogue. The experimental results show that the proposed algorithm is more robust in the case of the cover, but also has good performance under other complex scenes.

Abstract: With the increasingly complex electromagnetic environment and continuous appearance of advanced system radars, signals received by radar reconnaissance receivers become even more intensive and complex, because scanning time of radar reconnaissance of each direction is very small, composition of the signals received are very complex, number of signals from different radar emitters differ greatly, traditional radar sorting methods can’t process the signals effectively. Aiming at solving the above problem, a novel radar multi-parameter signal sorting method based on data field and hierarchical clustering is proposed. Data field is introduced to reduce compute capacity and determine the parameters of hierarchical clustering. Hierarchical clustering is known that can obtain multi-level clustering structure of different particle size, by which, we can get small number of radar signals drown in many radar signals. Experimental results show that method presented in this paper can sort radar signals in complex electromagnetic environment effectively.

Abstract: Traditional power quality signal samples are based on the Nyquist sampling theory. Because of the existence of disturbance signal for the presence of power, it requires two times higher than the sampling frequency of the original signal, resulting in many problems, such as a high cost of hardware. Compressed sensing algorithm abandoned the characteristics of Shannon theorem, using a lower sampling frequency and the less amount of the signal to reconstruct the signal, with the method of a loss compression, which can effectively solve this problem. A team in Beijing University of Chemical Technology has done a deep research in this direction and proposed the total variation gradient reduction algorithm, which has good effects on reduction. But the algorithm runs slower and needs higher sample volumes of signal. Therefore, this paper presents a modified algorithm based on Nesta algorithm to reduce the amount of data sampled of power quality signal, the complexity of the algorithm to improve the algorithm’s speed. The modified algorithm has a very important value in practical applications. This paper has carried out simulations in matlab, the results of the simulation show that this method is accurate and applied.

Abstract: In this paper, we introduce a new definition of countably PS-compact L-fuzzy sets by means of pre-semi-open L-fuzzy sets and their inequality. This new definition doesn’t depend on the structure of basis lattice L which does not require any distributivity.

Abstract: With the diversification tendency of clothing art, this paper mainly researches on the simulation of concave-convex type carvings on different fabrics by employing some cartoon characters such as Hello Kitty as direct patterns. Spectrum reconstruction processes are carried out on both the vivid characters and the fabrics with different materials and textures so as to integrate the favorable features of both sides. This paper also combines the image processing technology with the computer simulation technology, and sets cartoon elements as one of the pop cultures’ label. Its application in clothing keeps in line with the modern fashion trends, therefore creating a profound influence in this field. Moreover, the application of cartoon characters to the simulation research of textile fabric pattern designs is highly innovative, vivid, and has a very broad potential market.

Abstract: In this paper, we propose a new super-resolution algorithm based on wavelet coefficient. The proposed algorithm uses discrete wavelet transform (DWT) to decompose the input low-resolution image sequences into four subband images, including LL, LH, HL, HH. Then the input images have been processed by the 3DSKR (Three Dimensional Steering Kernel Regression) super resolution (SR) algorithm, and the result replaces the LL subband image, while the three high-frequency subband images have been interpolated. Finally, combining all these images to generate a new high-resolution image by using inverse DWT. Proposed method has been verified on Calendar and Foliage by Matlab software platform. The peak signal-to-noise (PSNR), structural similarity (SSIM) and visual results are compared, and show that the computational complexity of the proposed algorithm decline by 30 percent compared with the existing algorithm to obtain the approximate results.

Abstract: To solve the harmony problem of accuration, real-time with anti-noise capability on edge detection of smokescreen, the edge detection algorithm of smokescreen based on multi-scale mathematical morphological is designed, and the algorithm can effectively reduce the noise of the smokescreen image. Compared with the results of classical edge detection operator: Sobel, Roberts, Prowitt and Canny etc, it is concluded that the algorithm designed has obvious advantages in continuity, smoothness, image recognition, practical complexity, operation time and other related parameters.

Abstract: A low complexity approach for binary quantization is proposed. This approach uses a multi-edge type bipartite graph of the low density generator matrix (LDGM) code with the belief propagation algorithm to encode the informations. A damping decimation is developed for the algorithm convergence. Simulation results show that our algorithm achieves near Shannon capacity performance with reduced complexity.