Abstract: An information packet preclassification system and method are provided. The method receives a packet of information and differentiates the packet into segments. Using a decision tree with multiple levels, segments in the packet are compared to a node at a tree level, where each node includes a plurality of node reference segments and corresponding node comparison operators. The reference segment may be a different segment from the packet, or a predetermined segment value stored in memory. One, or more classification attributes are accessed in response to comparing segments, and the classification attributes are assigned to the packet. Then, the packet is processed in response to the classification attributes.

Abstract: An information packet preclassification system and method are provided. The method receives a packet of information and differentiates the packet into segments. Using a decision tree with multiple levels, segments in the packet are compared to a node at a tree level, where each node includes a plurality of node reference segments and corresponding node comparison operators. The reference segment may be a different segment from the packet, or a predetermined segment value stored in memory. One, or more classification attributes are accessed in response to comparing segments, and the classification attributes are assigned to the packet. Then, the packet is processed in response to the classification attributes.

Abstract: An information packet preclassification system and method are provided. The method receives a packet of information and differentiates the packet into segments. Using a decision tree with multiple levels, segments in the packet are compared to a node at a tree level, where each node includes a plurality of node reference segments and corresponding node comparison operators. The reference segment may be a different segment from the packet, or a predetermined segment value stored in memory. One, or more classification attributes are accessed in response to comparing segments, and the classification attributes are assigned to the packet. Then, the packet is processed in response to the classification attributes.

Abstract: Porous ceramic articles may be produced by using a gas as a pore former, where the gas is injected into a ceramic precursor batch material and mixed. Pressure is then applied to mixture such that the gas liquefies. The pressure is maintained during formation of a green body, maintaining the gas in a liquefied state. After formation of the green body, the pressure is removed whereby the gas returns to a gaseous state, creating pores in the green body. The green body may then be fired to produce a porous ceramic article.

Abstract: An information packet preclassification system and method are provided. The method receives a packet of information and differentiates the packet into segments. Using a decision tree with multiple levels, segments in the packet are compared to a node at a tree level, where each node includes a plurality of node reference segments and corresponding node comparison operators. The reference segment may be a different segment from the packet, or a predetermined segment value stored in memory. One, or more classification attributes are accessed in response to comparing segments, and the classification attributes are assigned to the packet. Then, the packet is processed in response to the classification attributes.

Abstract: Porous ceramic articles may be produced by using a gas as a pore former, where the gas is injected into a ceramic precursor batch material and mixed. Pressure is then applied to mixture such that the gas liquefies. The pressure is maintained during formation of a green body, maintaining the gas in a liquefied state. After formation of the green body, the pressure is removed whereby the gas returns to a gaseous state, creating pores in the green body. The green body may then be fired to produce a porous ceramic article.

Abstract: An information packet preclassification system and method are provided. The method receives a packet of information and differentiates the packet into segments. Using a decision tree with multiple levels, segments in the packet are compared to a node at a tree level, where each node includes a plurality of node reference segments and corresponding node comparison operators. The reference segment may be a different segment from the packet, or a predetermined segment value stored in memory. One, or more classification attributes are accessed in response to comparing segments, and the classification attributes are assigned to the packet. Then, the packet is processed in response to the classification attributes.