Advanced Materials Research Vols. 756-759

Abstract: In this paper, a new adaptive approach for H_infinity synchronization of a general class of chaotic systems. Based on adaptive control theory and Lyapunov function method, An adaptive controller is constructed, the H_infinity synchronization controller is presented to not only guarantee stable synchronization but also reduce the effect of external disturbance to an H_infinity norm constraint. The results of simulation are given to show effectiveness of the proposed method.

Abstract: Aiming at the particularity of traffic monitoring video sequences and the regularity of vehicle movement, a quick extraction algorithm using window-scanning for moving vehicles in traffic monitoring videos is proposed in this paper. This algorithm uses hypothesis testing to higher order statistics of frame differences to achieve the rough separation of moving vehicles and background. Then obtain the length of the vehicle and extract the vertical coordinates of the initial point of moving vehicle by setting a static window with a stationary location, combining with the velocity of the vehicle and the moving pixel distribution probability in the window. And obtain the width of the vehicle the horizontal coordinates of the initial point of moving vehicle by setting a dynamic window, combining with the distribution probability of moving pixels in the window. Finally this algorithm achieved the quick extraction of vehicles with the window obtained by length and width, combining with the coordinates of the initial point of moving vehicle. Experiments show the feasibility of the algorithm that the time and space efficiency is relatively high.

Abstract: In this paper, the global robust exponential stability is discussed for interval Cohen-Grossgerg neural network with time varying delays. On the basis of the linear matrix inequalities (LMIs) technique, and Lyapunov functional method combined with the Bellman inequality and Jensen inequality technique, we have obtained the main condition to ensure the global robust exponential stability of the equilibrium point for this system. The obtained stability criterion is dependent on the upper bound of time varying delays. The proposed result is less restrictive, and suitable of the cases of slow or fast time varying delays, easier to check in practice. Remarks are made with other previous works to show the superiority of the obtained result, and the simulation example is used to demonstrate the effectiveness of our result.

Abstract: Nowadays, the hard correction is a familiar method for image seam-line removing. But the method needs accurate gray difference around the seam-line which is difficult to achieve occasionally. To overcome such drawbacks, a novel seam-line removing method was proposed in the paper. First, optimal texture matching blocks beside the seam-line are searched, and the average gray level of the two blocks can be obtained. Then, the average gray level of the two blocks is adjusted to estimate the gray level of the same target in different illumination environment. Finally, the illumination is corrected based on the average gray level to remove the seam-line. The theoretical analysis and experiment results show that the proposed method is more effectual then traditional methods.

Abstract: Nowadays, Hough transform is always adopted to detect the seam-line of mosaic image. But the calculation is big, so the seam-line detection speed is affected obviously. In order to overcome this problem, a new detection method based on radon transform is proposed in the paper. First, a binary image is generated by edge detection technique, after the mosaic image has been smoothed based on mathematical morphology. Second, Radon transform is used to the binary image, and the extreme coordinates of the Radon transform result are determined. Finally, the seam-line location in mosaic image is determined by using the extreme coordinates. The theoretical analysis and experiment results show that the proposed method has very good detection performance.

Abstract: Recommendation algorithm is the most core and key point in recommender systems, and plays a decisive role in type and performance evaluation. At present collaborative filtering recommendation not only is the most widely useful and successful recommend technology, but also is a promotion for the study of the whole recommender systems. The research on the recommender systems is coming into a focus and critical problem at home and abroad. Firstly, the latest development and research in the collaborative filtering recommendation algorithm are introduced. Secondly, the primary idea and difficulties faced with the algorithm are explained in detail. Some classical solutions are used to deal with the problems such as data sparseness, cold start and augmentability. Thirdly, the particular evaluation method of the algorithm is put forward and the developments of collaborative filtering algorithm are prospected.

Abstract: In recent years, cloud computing technology has become the most popular field in IT industry, and it has changed the traditional IT technical architecture, development and deployment model in enterprise. Existing cloud management platforms tend to focus only on a single-level resources management, lack of a management platform that combines infrastructure resources, application platform deployment and monitoring services. This paper has designed a deployment-architecture that supports application platform in multi-cloud environment. It helps users deploy the required platform dynamically via self-help tool, frees users from infrastructure management, and provides common and inheritable deployment architecture for infrastructure environment.

Abstract: In order to analyze the influence of integral-number slots large hydro-generator no-load voltage waveform by the number of damper bars per pole increase, the 2D moving electromagnetic field-circuit coupling model is established, and the no-load voltage waveforms of a 600MW integral-number slots hydro-generator are calculated and analyzed. The results show that the harmonics are weakened and the waveforms of the no-load voltage are improved observably when reasonable increase the number of the damper bars per pole. The research is helpful for improving design standard and enhancing the operation reliability of the large hydro-generator and electric network.

Abstract: In this paper, gesture recognition is being research which focuses on the key steps - gesture feature extraction. Also, designed and implemented a gesture feature extraction algorithm in a complex environment. The experimental test proved that the feature extraction algorithm has better real - time performance and higher recognition rate, which achieve the desired objectives.

Abstract: The gradient vector flow (GVF) Snake models are active contour models: they lock onto nearby edges, localizing them accurately. GVF refers to the definition of a bidirectional external force that can capture the object boundaries from either sides and can deal with concave regions. However, we find that there is a main disadvantage of GVF Snakes---- there are some critical points in the model, the critical points must be included in the initial contour or must not be contained internal, and otherwise, it could not converge to the correct boundary. To solve this problem, we propose an improved GVF Snake model: we construct a new driving force to improve the initialization of contour. The experimental result shows that the new model we proposed not only avoid the critical points of the initial contour, but also converge to the concave boundary better.