Applied Mechanics and Materials Vols. 644-650

Abstract: At present, the common Web map service only supports browse and query, but does not support vector data publishing. This paper proposed a WebGIS construction method based on Google Maps, which supports the interoperation and spatial analysis of vector data of many browsers. Aiming at the land utilization information publishing requirement in Zhengzhou City, adopting B/S frame, with the help of Google Maps API and AJAX technology, we realized a systematized and standardized publishing platform for land utilization information. This platform has a fast response speed, faces various types of users, supports data sharing and can provide a better service for studies on land utilization change and decision-making on land consolidation.

Abstract: According to cluster structure feature for wideband sparse channel, the Cluster Regularized Adaptive Matching Pursuit (CRAMP) algorithm is presented based on the study of the original compressed channel sensing estimation algorithm. The proposed algorithm can accurately reconstruct the channel by both the adaptive process which chooses the number of candidate clusters and the regularization process which Support for secondary screening of candidate clusters, although the cluster sparsity of the channel is unknown. Simulation results show that the proposed algorithm’ performance is better than the BP, OMP, BOMP algorithm.

Abstract: This paper presents a simple approach for facial expression recognition. In the preprocessing stage, rough lips region is obtained from original face image using HSI space. Then, based on the binary image, exact lips region is located within a rectangle. To achieve this goal, PSO algorithm is applied to search for the best rectangle region. Finally, expression is estimated based on the parts ratio of lips. The simulation results show that this geometric approach is accurate and effective, even for the slightly smile.

Abstract: The vector time series model for simulating the underwater target radiated-noise is developed in this paper. Experimental results show that the true value lying outside the confidence interval would be a small probability event.

Abstract: The traditional Otsu threshold algorithm is not a good method for processing the real images because of complex shape and unbalanced distribution. To solve this problem, the paper uses the thinking of Otsu’s method for reference, introduces a threshold segmentation algorithm based on histogram statistical property. In addition, the paper draws a comparison between the new algorithm and Otsu’s algorithm. Experimental results show that the new algorithm can get better segmentation effect than that of Otsu’s method when the gray-level distribution of the background follows normal distribution approximatively, and the target region is less than the background region.

Abstract: In this paper, the error rate of the AMI code is computed and analyzed based on AMI transfer system model, and the simulate model of the AMI transfer system is constructed based on the SIMULINK. Using the simulate model, we test the error rate of the AMI code, and discuss the relation between the property of the AMI transfer system and Eye Diagram.

Abstract: A new data-aided algorithm for parameter estimation of the co-channel AIS signal transmitted over the additive white Gaussian noise channel is proposed in this paper. The co-channel signal consists of a strong signal with high power and a weak signal with low power. The parameters of the strong signal are estimated by searching the ambiguity function of the co-channel signal in two dimensions. A reference signal is therefore reconstructed with the estimated parameters and the aided data. By removing the ambiguity function of the reconstructed reference signal from that of the original co-channel signal, a new co-channel signal ambiguity function is obtained, from which the parameters of the weak signal are estimated. The simulation results illustrate that the proposed algorithm can estimate the parameters of the co-channel AIS signal effectively.

Abstract: In the background of using SINS technology to the car north finder, how to use FOG SINS in-vehicle vibration environment to obtain accurate initial attitude information is analyzed. Based on two-point north finder algorithm, north finder algorithm and kalman filtering algorithm are combined, and the north finder scheme for FOG SINS based on kalman filtering is studied. Simulation results show that, the scheme can accelerate the estimation of gyro bias and accelerometer bias, and effectively filter out short-term disturbances. This scheme can obtain accurate high-precision attitude information in the disturbance environment.

Abstract: The CY7C68013 chip of FX2 series products from Company Cypress is used as the bridge between Nios II and the computer. The data communication between the two parts can be realized quickly and stable used the USB 2.0 interface, which made it possible to save the resource on chip. Thereafter Nios II can be set free from the heavy work of data communication. The designation can be used to made a system for data acquisition or image processing based on Nios II which can be used to solve the bottleneck of low speed.

Abstract: The real-time image-processing by SOPC technology on the hardware is the new direction of the image-processing technology. FPGA is the core component of the image-processing based on SOPC technology. The principles and characteristics of SOPC technology and the commonly image-processing algorithm are introduced in the first part. Then the traditional DSP image-processing technology is compared with the image-processing technology using FPGA chip embedding with the Nios II soft-core processor. As a result, a conclusion that the usage of the SOPC technology can increase the speed and working frequency of image-processing is derived. At last, the application status of SOPC technology used in image-processing is introduced. It can be concluded that the SOPC technology in real-time image-processing have the broad application prospect.