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The relationship between the spatial position of the diamond seed and growth mode is investigated with an enclosed-type holder for single-crystal diamond growth using the microwave plasma chemical vapor deposition epitaxial method. The results demonstrate that there are three main regions by varying the spatial position of the seed. Due to the plasma concentration occurring at the seed edge, a larger depth is beneficial to transfer the plasma to the holder surface and suppress the polycrystalline diamond rim around the seed edge. However, the plasma density at the edge decreases drastically when the depth is too large, resulting in the growth of a vicinal grain plane and the reduction of surface area. By adopting an appropriate spatial location, the size of single-crystal diamond can be increased from 7 mm × 7 mm × 0.35 mm to 8.6 mm × 8.6 mm × 2.8 mm without the polycrystalline diamond rim.

In this paper, a generative adversarial network is applied to the generation of comic head images. Aiming at solving the problems of poor image quality, single generated samples, and slow model convergence in the generation process, a caricature head image generation algorithm based on improved deep convolutional generative adversarial network (DCGAN) is proposed. By adjusting the network structure, the ability to generate models and discriminate models is better balanced. The quality of the generated samples is enhanced, meanwhile, the convergence speed of the entire network is also improved. The experimental results show that the algorithm has a good effect on the generation of comic head images.

Information retrieval provides useful information suitable for policy-making. How to apply information retrieval technology into daily use is a hot topic that deserves our foucs. Take journals evaluation for example, this paper do research on how to use the database inquiry technology provided by China National Knowledge Infrastructure (CNKI) to collect data of Journal of Guangdong University of Business Studies from the year 2009-2011. We analyze the data that collected from CNKI and do computing according to the formula of the journal evaluation indexes, and attain first-class, objective and valuable information that can used for suporting the future development of the journal.