Toshiro Kutsuwa

Three-Dimensional Image Information Media. A Data Compression Method for 3-D Shapes with Network Spatial Partitioning Representation Model.

This paper describes a new data compression method for spatial partitioning representation which gives a higher data compression ratio than conventional methods. To obtain high data compression, we introduce the Network model, which performs fast geometric operations for spatial partitioning representation. The Network model represents a shape by using only voxels on the surfaces. These voxels connect with each other to make a network structure. The model compresses data simply for spatial partitioning representation and has a better compression ratio than the Octree model. Moreover, the proposed method can eliminate a large quantity of voxel from Network model. The resulting compression ratio is better than the three-dimensional runlength approach. Experimental results show that the method is effective for compressing data for spatial partitioning representation and achieves a high compression ratio.

On the synthesis of variable sequential circuit

A synthesis method for variable sequential circuits (VSCs) is discussed. The VSC corresponds to a multiple-output variable logic circuit (VLC) with some memory elements. Hence, the synthesis method for a VLC can be applied to VSC. The results of numerical experiments for synthesis methods are shown, and the effective method is proposed for the VSC. This method can also be applied to the VLC.<<ETX>>