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The events location and real-time computational performance of crowd scenes continuously challenge the field of video mining. In this paper, we address these two problems based on a regional topic model. In the process of video topic modeling, region topic model can simultaneously cluster motion words of video into motion topics, and the locations of motion into motion regions, where each motion topic associates with its region. Meanwhile, a hybrid stochastic variational Gibbs sampling algorithm is developed for inference of our region topic model, which has the ability of inferring in real time with massive video stream dataset. We evaluate our method on simulate and real datasets. The comparison with the Gibbs sampling algorithm shows the superiorities of proposed model and its online inference algorithm in terms of anomaly detection.

“Three Links and Two Platforms”, which refers to schools links to ICTs, high-quality resource of class links to ICTs, people links to ICTs, public service platform for educational resources and public service platform for educational management, has played a crucial role in improving the educational equality in minority areas in Yunnan province and in realizing the sharing of high-quality educational resources. This research mainly adopts method of document investigation, which has investigated the construction situation of “Three Links and Two Platforms” in eight ethnic autonomous prefectures in Yunnan province in China including Chuxiong Yi Nationality Autonomous Prefecture, etc. The results show that the average value of the construction of “Three Links” is 63.55%n 14.75% and 9.00% respectively. “Two Platforms” mainly focus on public service platform for educational resources and public service platform for the construction of educational statistics, and the informatization of national education in Yunnan province should be improved greatly.

In graph-based modelled networks, connectivity and toughness are two types of parameters to measure the robustness of graphs (corresponding networks), and recent studies have shown that these variables are explicitly associated with the existence of H-factors in specific settings, where the latter is inner connected to the feasibility of data transmission in networks. However, the previous contributions presented in the form of several surfaces of connectivity and toughness (isolated toughness or sun toughness) lead to a "choice dilemma" for decision-makers in the network designing stage. In this work, to overcome this problem, we propose a new approach in terms of knee point identification to determine the best combination of connectivity and toughness related parameters. The family of knee points on curves are implemented which vary with respect to m or k. [ABSTRACT FROM AUTHOR]