Abstract: A performance of a power semiconductor device is improved. A power semiconductor device including unit cells UR and UL cyclically arranged in an X direction and a Y direction perpendicular to each other and a plurality of end cells is used. The unit cells UR and UL are alternately arranged in the X direction, the plurality of end cells include an X-end cell XL, Y-end cells YR and YL, an XY-end cell XY1L, and an XY-end cell XY2L for an optional region, each number of arrangement cycles of the unit cells UR and UL in the Y direction changes depending on repetition cycle coordinates in the X direction, each of the cyclically-arranged unit cells UR and UL is adjacent to any of the plurality of end cells at an endmost portion of arrangement cycle in each of the X direction and the Y direction, and regions having the plurality of end cells are different in an electric property from the unit cells UR and UL.

Abstract: A multidimensional data visualization apparatus capable of visualizing a data distribution in an input space of high-dimensional data so as to enable understanding of relationships between input dimensions is provided. Low-dimensional parallel coordinates plot creation element 71 creates, from input multidimensional data, a plurality of low-dimensional parallel coordinates plots that are each a graph in which data relating to part of dimensions in the multidimensional data is represented by a parallel coordinates plot. Feature value computation element 72 computes, for each pair of low-dimensional parallel coordinates plots, a feature value indicating a relationship between the low-dimensional parallel coordinates plots forming the pair. Coordinate computation element 73 computes coordinates at which each low-dimensional parallel coordinates plot is arranged, based on the feature value computed by the feature value computation element 72.

Abstract: There is provided a multidimensional data visualization apparatus capable of visualizing the distribution of data in an input space of high-dimensional data so that the relationships between input dimensions can be seen. Subplot generation means 71 generates, from input multidimensional data, multiple subplots as charts representing data on some dimensions in the multidimensional data. Feature value calculation means 72 calculates the feature value of a relationship between paired subplots for each pair of subplots. Coordinate calculation means 73 calculates the coordinates, at which each subplot is placed, based on the feature value calculated by the feature value calculation means 72.