Abstract: An exemplary exhaust cleaner comprises a reverse flow heat exchanger and a gas permeable catalyst. The reverse flow heat exchanger includes two interleaved ducts that are spiral-wound around a central volume. The gas permeable catalyst is disposed within the central volume and separates the central volume into first and second regions. The first duct of the reverse flow heat exchanger opens into the first region, and the second duct opens into the second region. The heat generated at the catalyst by the catalysis of incomplete combustion products within the exhaust heats the exhaust within the central volume to a temperature sufficient to burn particulates within the exhaust. The heat generated within the central volume by the catalysis and the combustion of any particulates is carried by the exhaust into the second duct where the heat is transferred to the cooler exhaust within the first duct.

Abstract: A method of creating a decision engine including a Bayesian network. The method includes retrieving data from a client database and forming a focus database; applying a set of initial rules to the focus database to form at least two nodes; applying a first learning process to determine a set of arcs to be applied between the at least two nodes; applying a second learning process to determine a set of states to be applied within each node; applying a third learning process to determine a set of probabilities applicable to the states learned in the second learning process; and applying a fourth learning process to update a structure of the at least two nodes, the set of arcs, the set of states within each node, and the set of probabilities for the states.