A review on gradient macroporous ceramic via powder-based direct foaming process

A Direct Criterion Minimization Based fMLLR via Gradient Descend

Adaptation techniques are necessary in automatic speech recognizers to improve a recognition accuracy. Linear Transformation methods (MLLR or fMLLR) are the most favorite in the case of limited available data. The fMLLR is the feature-space transformation. This is the advantage with contrast to MLLR that transforms the entire acoustic model. The classical fMLLR estimation involves maximization ...

Ceramic Capillary Suspensions: Novel Processing Route for Macroporous Ceramic Materials

We introduce a novel method to produce macroporous ceramics by capillary suspensions. Adding a small amount (~1 vol%) of an immiscible secondary phase to a low concentration (~20 vol%) suspension can increase the yield stress by several orders of magnitude. This drastic change in flow behavior is induced by the creation of a sample-spanning particle network in the suspension controlled by capil...

Influence of Milled Waste Glass to Clay Ceramic Foam Properties Made by Direct Foaming Route

Sintering and Foaming of Barium Silicate Glass Powder Compacts

The manufacture of sintered glasses and glass-ceramics, glass matrix composites, and glass-bounded ceramics or pastes is often affected by gas bubble formation. Against this background, we studied sintering and foaming of barium silicate glass powders used as SOFC sealants using different powder milling procedures. Sintering was measured by means of heating microscopy backed up by XPD, differen...

Direct gradient-based reinforcement learning

Models agent interacting with its environment.