Identification of nonlinear systems with missing data using stochastic neural network

In this paper, nonlinear identification is dealt with by using Gaussian sum distribution. This model is also called a stochastic neural network. By using the stochastic model, it is possible to estimate the output and also the missing elements in the input vector within the framework of conditional estimation. The model parameters can be estimated by using the EM algorithm. By interpolating the unknown elements, we don't have to discard the vectors including the missing elements</p

Scaling Rule for Very Shallow Trench IGBT toward CMOS Process Compatibility

2012 24th International Symposium on Power Semiconductor Devices and ICs (ISPSD 2012), June 3-7, 2012, Bruges, BelgiumDeep trench gate is used for latest IGBT to improve device performance. By large difference from deep submicron CMOS structure, there is no process compatibility among CMOS device and trench gate IGBT. We propose IGBT scaling rule for shrinking IGBT cell structure both horizontally and vertically. The scaling rule is theoretically delivered by structure based equations. Device performance improvement was also predicted by TCAD simulations even with very shallow trench gate. The rule enables to produce trench gate IGBT on large diameter wafer in CMOS factory with superior productivity