Advanced Materials Research Vols. 816-817

Abstract: In order to make the real time database more suitable for the computing features, this article points to the distributed and parallel real time database design and architecture. First, a mapping table from table file to machine nodes is established, and then can use meta-data management system to store and manage the mapping table to meet the characteristics of high concurrent access. The whole network computation can access the unified interface provided by the real-time database, retrive data from each node, then collect the data. Experimental results show that this study and the systems designed can meet the computing requirements of a unified whole network.

Abstract: Conventional methods for locating near-field sources generally suffer performance degradation when the assumption of uniform spatial Gaussian noise does not hold. In this paper study the scenario of non-uniform spatial Gaussian noise. First we construct the near-field signal model based on planar sensor array and derive the maximum likelihood method for obtaining the azimuth and distance of sound sources, then we proposed two fast algorithms-stepwise-concentrated maximum likelihood method(SML) and approximate maximum likelihood method(AML) to reduce the high computational complexity of maximum likelihood localization method. Simulation results show that the two proposed methods outperform conventional maximum likelihood method, with lower computational complexity and less mean squared error of both azimuth estimation and distance estimation.

Abstract: Building visualization intelligent data analysis system of wind farms is important for operating personnel to master the running status of wind farm in real time and research the grid operation strategy of wind farm. In this paper, the designed system collects wind farm operation data from the production management system, SCADA and so on. Based on multi-threading data acquisition, dynamic data storage, cube views, analysis technology and component/architecture design concept, design and implement the visualization intelligent data analysis system which meets requirements of wind farms. This system has been used in a certain electric power company of China.

Abstract: This paper has propose a new method (acoustic emission) to distinguish the pattern of gas-liquid two-phase flow in the horizontal pipe. The signals which got from the probe when multiphase flow pattern changes in the pipe and the four probe installed on the different position. Through the analysis of time domination, energy of wavelet, collected the signal features and shows there has a significant differences among the three typical flow patterns (bubbly flow, stratified flow, annular flow). Energy of wavelet can clearly represents the signal strength. This paper found that the acoustic emission as a new method to distinguish flow patterns have good effect can as a new technology for the study of gas-liquid two-phase.

Abstract: Objective quality metric evaluates image quality automatically. In this paper, a new objective stereo image quality metric is proposed with left-right image quality (LRIQ) model and stereo perception quality (SPQ) model. In LRIQ model, wavelet transform is used to simulate multi-channel effect. Meanwhile, phase congruency (PC) map of sub-image is extracted as main feature to measure quality of each sub-image. Then all the sub-images qualities are weighted according to contrast sensitivity function curve. The SPQ model, quality score is obtained by comparing the PC maps of original and distorted absolute disparity images. Finally, these two models are combined to evaluate stereo image quality. Experimental results demonstrate that the correlation coefficients between proposed evaluation method and DMOS are above 0.93, and the root mean square errors are all less than 5.6, under JPEG, JPEG2000 compression, Gaussian blurring, Gaussian white noise and H.264 coding distortion. It indicates that the subjective results perform highly accordance with objective qualities.

Abstract: There has become a bottleneck to use support vector machine (SVM) due to the problems such as slow learning speed, large buffer memory requirement, low generalization performance and so on. These problems are caused by large-scale training sample set and outlier data immixed in the other class. Aiming at these problems, this paper proposed a new reduction strategy for large-scale training sample set according to analyzing on the structure of the training sample set based on the point set theory. By using fuzzy clustering method in this new strategy, the potential support vectors are obtained and the non-boundary outlier data immixed in the other class is removed. In view of reducing greatly the scale of the training sample set, it improves the generalization performance of SVM and effectively avoids over-learning. Finally, the experimental results shown the given reduction strategy can not only reduce the train samples of SVM and speed up the train process, but also ensure accuracy of classification.

Abstract: This paper presents a variable step pulse deinterleaving method. The method can not only realize signal sorting and at the same time frequency high precision estimation of the impulse, and avoids the problem of how to divide the range of pulse repetition interval of interest. Furthermore, the sorting method is not sensitive to the frequency jitter size, can be used for high frequency jitter radar pulse string sorting. Because the search step size increases with the pulse repetition interval, the sorting method also helps to reduce the signal sorting computation.

Abstract: The fisheye lens is widely used in the field of panoramic monitoring, this paper describes how to correct the distortion of fisheye image, and introduces a simple, fast, practical fisheye image correction method for fisheye image taken under specific angle. Also the detailed formulas are presented in this paper. Experiments show that the method can achieve satisfactory results.

Abstract: Detecting and tracking the small moving target which is below 6×6 pixels with low signal to clutter ratio is the main difficulty in practical engineering. Based on morphology, this paper presents a new approach to promote the signal to clutter rate and highlight the small target. Then a new algorithm based on kernel function density estimation and mean-shift algorithm is proposed to track the small target. Experimental results demonstrate that this approach can track and detect the real target effectively.

Abstract: The HSV (Hue, Saturation, and Value) color model is more intuitive than the RGB color model and widely used in color recognition and color space segmentation. Currently as the requirements of high processing speed and special applications need to realize RGB to HSV color space conversion, in this paper a new Field Programmable Gate Array (FPGA) architecture named RGB2HSV module was developed via an accurate and visible FPGA implementation method in use of Xilinx System Generator (XSG). XSG is a design tool in Simulink of MATLAB which accelerates design by providing access to highly parameterized intellectual blockset for Xilinx FPGA. In this paper simulation test images were used to measure the deviation and the time consume by the RGB2HSV module and relevant C program. Experiment shows that the maximum frequency can reach 121.433MHz and lower deviation was achieved in Xilinx Zynq xc7z020 device. The full-pipelined and parallel RGB2HSV module had been adapted in order to speed up the RGB to HSV color space conversion and took as much as 87% less than that of C program in our experiment.