According to the analysis from the number of tourists who went to Lanzhou during 2009–2019, the ARIMA model of the number of tourists to Lanzhou was established. The results show that the AR(3) model is used to predict the number of tourists who traveled to Lanzhou during 2009–2019. The average relative error between the predicted value and the actual value is 1.03%, which can be used to predict and analyze the number of tourists in Lanzhou in the future.

Visibility culling is a fundamental problem in computer graphics. By combining object-space coherence with image-space coherence, this paper presents a novel algorithm for speeding up complex models rendering. The algorithm is based on the new concept of occupancy proportion (OP), which offers a simple, fast and efficient approach to visibility culling. We exploit the hardware accelerator character, and proposed an asynchronous occlusion queries method which significantly alleviates the affection caused by occlusion queries latency. The algorithm utilizes a hierarchy tree structure containing objects in the scene. The method in the paper can be easily integrated into majority visibility culling algorithms. The algorithm benefits for estimating object visibility and improves the efficiency of object visibility determination. Methodology and implementation details are provided, and experimental results demonstrate that the algorithm can obtain higher rendering efficiency than conservative object bounding box occlusion query method. The algorithm is suited for arbitrary structure scenes especially for slender scenes.

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This paper describes one promising parallel algorithm and software system for structural modal analysis. The supercomputer "ShenWei I" is taken as the parallel computing environment and the finite element code MSC.NASTRAN is taken as the development platform. The purpose of the research and development is to make the dominating computing work of modal analysis parallelized, and, moreover, make the parallel solver tightly coupled with original analysis code. The integrated software system includes a serial FEA (Finite Element Analysis) and parallel solver and has a friendly interface. It can significantly improve the scale and velocity of structural modal analysis. It contributes to dynamic performance analysis for massive structures.