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The R*-tree manages hierarchical nodes for efficient access of spatial data. We propose a method that maintains partial nodes of R*-tree in the GPU memory to improve efficiency using parallel processing. The proposed method attempts to load as many nodes as possible to the GPU memory. The new nodes are inserted to manage the rest of R*-tree nodes in the main memory. The experimental result shows that the proposed method is more efficient than the main memory based R*-tree.

The utilization range of mobile devices is becoming broader than before due to the rapid development of the mobile market. Furthermore, the demands for computer-aided management are increasing due to the extensive expansion of the installation of solar street lights. In this paper, we propose a system which can be used to observe solar street lights. The manager of the system can control and manage the solar street lights using video images on a mobile device.