Advanced Materials Research Vols. 765-767

Abstract: In this paper, a new particle matching algorithm for 3D-PIV is proposed based on Delaunay triangulation and projective invariants. In the proposed algorithm, fuzzy similarity is first computed for the triangulation in the matching particle images and rough matching is executed. Then, error matching in the results of rough matching is removed based on projective invariants. Experiment results further demonstrate the effectiveness of the proposed method.

Abstract: Preliminary exploration on simulation data mining with BP network and rough set method is made in the paper. Data mining method based on rough set theory and BP neural network is put up. Firstly, we reduce the redundant attributes in the decision-making table with rough set method, and then the noise is filtered by BP neural network. Finally, rule set is generated by rough set from the reduction decision table. This method not only avoids the complexity of the rules extracted from training the neural network, but also improves the classification accuracy effectively. At last, the mining data by the experimental data of the troops marching warfare simulation system and the result with the actual reference value is obtained.

Abstract: The problem of Stochastic stability analysis for singular time-delay hybrid system with Markovian jumping parameters and standard Wiener process in this paper. Based on linear matrix inequality approach, a delay dependent condition is proposed, which ensures the singular hybrid system is stochastically stable.

Abstract: Probing in the energy-efficient coverage problem in Wireless Sensor Networks (WSN), a Discrete Multi-Objective Particle Swarm Optimization (DMOPSO) is proposed based on the characteristics of WSN. A multi-objective energy-efficient coverage strategy is established which focus on reduce the node utilization rate and ensure adequate coverage rate of the sensor networks at the same time based on the improved binary coding schemes. The proposed algorithm is used to solve the established multi-objective coverage problem. The effect of parameters on the optimization effect is analyzed and verified by algorithm analyses and simulations. Simulation result shows that the proposed method effectively reduced the node utilization while keep enough network coverage rate, which reduces network energy consumption and extends network life.

Abstract: The numerical simulation of the developing turbulent flow through a three-dimensional curved pipe with strong curvature is presented. This numerical simulation is to investigate the flow structure of pipe-flow through a 90° bent pipe with the aid of RNG k-ε turbulence model, which had been well validated for high screwed curvature flow. Dean Motion downstream of the bend are found and presented. And the numerical result demonstrates that Dean motions co-exist with large scale swirling motions inside the bend pipe. Snapshot of velocity and pressure reveals that the structures found upstream of the bend persist after the bend and survive the strong secondary motions induced by the pipe curvature.

Abstract: This paper deals with the problem of stochastic stability analysis for stochastic nonlinear delay hybrid singular system in this paper. Based on linear matrix inequality approach, a delay dependent condition is proposed, which ensures the stochastic nonlinear delay hybrid singular system is stochastically stable with H performance under zero initial conditions. Finally, an example is provided to demonstrate the effectiveness of the proposed approach.

Abstract: A cumulative sum feature extraction algorithm for anomaly analysis before earthquake is proposed by using the cumulative sum feature extraction algorithm. The analysis results reveal that the anomalous variations exist prior to the earthquakes. The methods studied in this work include cumulative sum, smooth using the Technology of Locally weighted smoothing and compute feature points. These methods have been applied to analyze the anomaly from OLR data that correspond to seismic precursors, particularly to a comparative study of the two earthquakes of Wenchuan in China and one earthquake in eastern Japan.

Abstract: To improve the prediction performance of partial least square regression algorithm (PLS), the consensus strategy was applied to develop the multivariate regression model using near-infrared (NIR) spectra and named as C-PLS. Coupled with the consensus strategy, this algorithm can take the advantage of reducing dependence on single model to obtain prediction precision and stability by randomly changing the calibration set. Through an optimization of the parameters involved in the model including criterion threshold and number of sub-models, a successful model was achieved by effectively combining many sub-models with different accuracy and diversity together. To validate the C-PLS algorithm, it was applied to measure the original extract concentration of beer using NIR spectra. The experimental results showed that the prediction ability and robustness of model obtained in subsequent partial least squares calibration using consensus strategy was superior to that obtained using conventional PLS algorithm, and the root mean square error of prediction can improve by up to 45.2%, indicating that it is an efficient tool for NIR spectra regression.

Abstract: in this paper, we attempted to find an effective method to resolve multi-satellite observation scheduling problems. Firstly, an acyclic directed graph model for multi-satellite observation scheduling was constructed. Secondly, based on the graph model, we presented a novel hybrid ant colony optimization mixed with the iteration local search algorithm (ACO-ILS) to produce high quality schedules. At last, extensive experimental simulations demonstrated that the proposed ACO-ILS algorithm is very efficient.

Abstract: Based on the original image of plants leaves, the edge detection method will be used to extract the geometrical morphology of leaves. The characteristic points of the contour can be calculated by Harris method. The contours of plant leaves is constructed by the quadratic B-spline interpolating curve, the leaf vein is generated by L system. The simulation of plant leaves is realized in OpenGL.