Applied Mechanics and Materials Vols. 687-691

Abstract: Recent years, the image sparse representation has been the popular method in the study of image representation, which has put forward a new idea in the image denoising. Its basic principle is that the original image has the sparse representation under the proper over-complete dictionary. Filter out the noise, we should find out the sparse representation of the image through the design of the dictionary. Its mechanism is that one hand the useful information of the image would be effectively expressed because of the sparse decomposition algorithm based on the redundant dictionary. The other the noise would not be expressed through the dictionary atoms. We do the image denoising according to the image sparse representation. Because of the superiority of the adaptive dictionary algorithm in the image, in this paper, we discuss the over-complete dictionary training algorithm. And we prove the effectiveness through the MATLAB.

Abstract: Image segmentation is one of the most fundamental and important areas in the field of image processing and computer vision. The traditional level set methods need initialize the level set function as a distance function. If the initial contour is selected inappropriate, we may not get the desired ideal segmentation result. In order to solve the problem of level set automation initial, we proposed a new image segmentation algorithm based on level set and marker extraction. First, we extract the internal mark as level set initial curve by using Extended-minima transform. And then, through using the local binary fitting active contour model, we evolve the labeled image to get the final segmentation result. The simulation results show that this method has low computing complexity than the traditional level set method requirements, and can effectively solve the initialization problem of level set.

Abstract: In order to monitor the operating status of the circuit breaker, designed a multi-signal processing system based on the labview. The system acquisite multiple signals synchronous, and combined with MATLAB. Signal feature is extracted with time domain eigenvalues, EEMD decomposition, wavelet decomposition, and finally sent into ELM. The results demonstrate: that the system can achieve the accurate judgment of the operation state of the circuit breaker.

Abstract: In this paper, a low-cost compact monopole UWB antenna with variable band notch characteristics is presented. The antenna is complemented on FR4 substrate with the whole size of . And the proposed antenna consists of a radiating patch with two symmetric semiellipse parasitic patches. A U-shaped slot is added to achieve a desired band notch frequency. It is excited by a 50 microstrip-line feed. A partial trapezoid ground plane with two symmetric L-shaped slots and two parasitic patches both can help to obtain higher frequency bandwidth more than 139% (2.8 GHz~15.6 GHz). The substrate with two circular holes can slightly improve the lower frequency characteristic. The simulation of the proposed antenna is achieved by CST Microwave Studio Software.

Abstract: Most patch-based texture synthesis algorithms using Markov Random Field for composite materials only considers color similarity between the corresponding pixels. The traditional algorithms are lack of adaptability, so the size of patches needs to be defined artificially in advance as the result of blurring of image texture features for composite materials. In order to improve above problems, a new patch-based sampling algorithm for synthesizing textures from an input sample image texture of composite materials is presented in this paper. By using patches of the sample texture as building blocks for image texture synthesis of composite materials, this algorithm makes high-quality texture synthesis for a wide variety of textures ranging regular to stochastic. The method is effective by our experimental results.

Abstract: Dynamic RWA algorithm which supports differentiating business service quality levels becomes a hot research in optical networks. This paper proposes a better ant colony algorithm for routing and wavelength assignment in ASON with supporting differentiating SLA of services and 10P bps network capacity. Firstly, the algorithm adds the concept of business interval period M to dynamically adjust the wavelength grouped in different periods So as to better meet the sercice requests of different levels; Secondly the algorithm adds a link selection control factor in the transition probability function ACA in order to achieve a better link load balancing. Simulation results show that after joining the cyclical and link selection control factor, blocking rate becomes lower and the load of network becomes more evenly.

Abstract: A broadband radar cross section (RCS) calculation approach is proposed based on the asymptotic waveform evaluation (AWE) technique. The equivalent dipole moment method (EDMM) is used to accelerate the process of filling the impedance matrix and more derivative matrices. So the broadband RCS is achieved quickly by using AWE technique and EDMM. Numerical results show that the computational efficiency is improved significantly by using the method presented in this paper with ensuring the accuracy.

Abstract: This pape analyzed the essence of Shannon source coding theory, and put forward the concept of utilization rate of source symbols, then by using this concept a new description for lossless source coding theory of Shannon was gave, from a new perspective the essence of Shannon source coding theory was identified.

Abstract: For the public places, statistical analysis of pedestrian traffic can be used for pedestrian flow rate distribution in time and space. The effective analysis personnel density can be used as important data for the improvement of the public places software and hardware facilities. In this paper, we introduce a method based on Pyramid optical flows clustering of corner point to improve the counting accuracy. We also report that using length clustering, angle clustering and original location clustering to enhance the counting accuracy.

Abstract: Lung sound contains a wealth of information on organ function and pulmonary physiology and pathology status information, and lung sounds auscultation has become a useful clinical tool in the diagnosis of lung disease. Therefore, lung sound acquisition system is designed using STM32 microcontroller as the master chip. The system uses a stethoscope and electret microphone with signal processing circuit and system flow chart is also given. Finally related experiments is done based on designed system, the results show that: the design of the system can stabilize unmistakable signal acquisition lung sounds.