The online social network poses severe challenges because of its large size and complex structure. It is meaningful to construct a concise high-level architecture of the online social network. The concise high-level architecture was composed of the communities, the hub nodes and the relationships between them. The original online social network was represented by a new representation named quantitative attribute graph, and a new method was proposed to construct the concise high-level architecture of the online social network. The communities were detected by using the attributes of the nodes and edges in combination, then the hub nodes were identified based on the found communities, and the relationships between the communities and hub nodes were reproduced. The new method was used to construct the concise high-level architecture of a large online social network extracted from a practical business Bulletin Board System (BBS). The experimental results show that the proposed method has a good performance when the relationship strength and the community size are set as 0.5 and 3 respectively.

For the purpose of correcting the distortion of the large-field-of-view lens used on aerial cameras, this paper proposed a method using the Matlab calib_toolbox. By calibrating the captured images of a range of angles-of-view and distances, the internal parameters and distortion coefficients of the camera were obtained, and the correct mathematical model of distortion correction was built. The proposed method made an improvement on the Bouguet method, and extended its applications to distortion correction of color images for airborne cameras via subsequent programming. Furthermore, a new and efficient backstepping reconstruction pattern matching method for image-distortion-rate analysis was proposed, which quantified the level of distortion. The simulation results show that the proposed method reduces the distortion rate of color images averagely by about 10%. As all the experimental results indicate, the proposed method is simple and efficient, and it is convenient to be readily transplanted to hardware platform for real-time image distortion correction.

With the purpose of stabilization control of servo motor, according to the dynamic matrix control principle, a servo motor control scheme was put forward using dynamic matrix control and Proportion-Integration-Differentiation （PID） control. Then, the unification model for direct/alternating servo model was analyzed; dynamic matrix control was used to design the current loop; rise time and stabilization value were used to form equivalent inertial element, and PID method was used to realize the control of speed loop and position loop. The calculation and simulation results show that the constant time of equivalent inertial element is in the inverse ratio of -ln(0.386); that the controller designed by PID mixed with Model Predictive Control (MPC) can well make the servo motor run smoothly and fast.

This paper proposes a classified strain limiting method which deals with unreal stretch deformation in clothing simulation with physical-based mass-spring model. The method primarily include two processing module. The first module is classification. it uses velocity computed by integrating system as input parameters first, and then judges some point whether needs strain limiting by the energy method, finally through the judged result divides point set into two types : needing strain limiting and not. The second module is strain limiting. It defines the threshold value of spring deformation and three variables for representing the restrictive proportions in principal strain direction, and then by the line strain theory computes the strain tensor of spring, finally obtains specific restrictive proportions and updates the position of corresponding point. The method could guarantee natural simulation results and eliminate unreal stretch deformation, and does not require all elements of the strain limiting for processing, reducing the computational cost to ensure real-time. Results indicate that the method have good effect and efficiency.