Abstract:
A photosensitive polyimide composition, a polyimide film, and a semiconductor device using the same are disclosed. The photosensitive polyimide composition can be cured by heating. A polyhydroxyimide is used as a base resin and can be mixed with a photoacid generator and a cross-linking agent having two or more vinylether groups. A film of the photosensitive polyimide composition can be developed by treatment with an alkaline aqueous solution. Embodiments of the invention enable improvement in production yield and reliability in a highly-integrated memory semiconductor packaging processes.
Abstract:
A method is developed which includes 1) defining a switching state space model for a continuous valued hidden production-related parameter and the observed speech acoustics, and 2) approximating a posterior probability that provides the likelihood of a sequence of the hidden production-related parameters and a sequence of speech units based on a sequence of observed input values. In approximating the posterior probability, the boundaries of the speech units are not fixed but are optimally determined. Under one embodiment, a mixture of Gaussian approximation is used. In another embodiment, an HMM posterior approximation is used.
Abstract:
A photosensitive polyimide composition, a polyimide film, and a semiconductor device using the same are disclosed. The photosensitive polyimide composition can be cured by heating. A polyhydroxyimide is used as a base resin and can be mixed with a photoacid generator and a cross-linking agent having two or more vinylether groups. A film of the photosensitive polyimide composition can be developed by treatment with an alkaline aqueous solution. Embodiments of the invention enable improvement in production yield and reliability in a highly-integrated memory semiconductor packaging processes.
Abstract:
A method is developed which includes 1) defining a switching state space model for a continuous valued hidden production-related parameter and the observed speech acoustics, and 2) approximating a posterior probability that provides the likelihood of a sequence of the hidden production-related parameters and a sequence of speech units based on a sequence of observed input values. In approximating the posterior probability, the boundaries of the speech units are not fixed but are optimally determined. Under one embodiment, a mixture of Gaussian approximation is used. In another embodiment, an HMM posterior approximation is used.