Abstract: The present invention provides a computer implemented method, apparatus, and computer usable program code for identifying interchangeable parts in parts catalogs. In one illustrative embodiment, a set of catalogs is searched for first attributes for a set of parts using an intelligent agent. The intelligent agent compares the first attributes for the set of parts to a set of second attributes for a selected part. A weight is assigned to each of the first attributes based on whether each of the first attributes is correlated to an attribute in the set of second attributes. Each part in the set of parts is ranked using the weight assigned to each attribute in the first attributes. A set of interchangeable parts is identified using the ranking for each part in the set of parts.

Abstract: The present invention provides a computer implemented method, apparatus, and computer usable program code for identifying interchangeable parts in parts catalogs. In one illustrative embodiment, a set of catalogs is searched for first attributes for a set of parts using an intelligent agent. The intelligent agent compares the first attributes for the set of parts to a set of second attributes for a selected part. A weight is assigned to each of the first attributes based on whether each of the first attributes is correlated to an attribute in the set of second attributes. Each part in the set of parts is ranked using the weight assigned to each attribute in the first attributes. A set of interchangeable parts is identified using the ranking for each part in the set of parts.

Abstract: Historical data is processed to identify possible future hostile activities in high threat environments. Pieces of the historical data are collected in computer-readable memory as memory entities, where the memory entities are categorized according to types of attacks and locations of attacks. The memory entities contain attributes taken from the pieces of historical data. A computer system is used to analyze the memory entities with an Associative Memory, wherein correlations of the attributes of the different memory entities are identified. Patterns are discovered from the correlations. The patterns are made available so future hostile activities can be identified.

Abstract: A system for assisting a user in determining a cause of a manufacturing non-conformance situation in a manufacturing application. The system may include an associative memory subsystem that is populated with a plurality of entity types, with each entity type including at least one entity, to form an associative memory. A user input device enables a user to input manufacturing non-conformance information into the associative memory subsystem that causes the associative memory subsystem to perform an initial search. The initial search generates a plurality of the entities that has a primary relevance useful for investigating the manufacturing non-conformance situation. An output device is responsive to the associative memory subsystem presents the plurality of entities found during the initial search to the user.

Abstract: According to an embodiment, a non-conformance analysis system may include at least one information storage tool that stores previously generated non-conformance information; a data mining tool that retrieves specific attributes of the previously generated non-conformance information stored in the at least one information storage tool; an associative memory subsystem that is populated with information involving a plurality of entity types, with each entity type including at least one entity, to form an associative memory; and a user input device that enables a user to input a non-conformance query into the associative memory subsystem, that causes the associative memory subsystem to generate all of the entity types and entities that include information useful for investigating the non-conformance query.

Abstract: A non-conformance analysis system may have an associative memory subsystem populated with information involving a plurality of entities defining different attributes of a component, with each entity being categorized under a user defined entity type, the entities and entity types forming an associative memory. A user input device may be used for enabling a user to input a query concerning the component, and to obtain information useful for managing a lifecycle of said component. An associative memory entity analytics engine in communication with the associative memory subsystem, and responsive to said user input device, searches the associative memory using the information provided in the query to retrieve entities helpful to the user in assessing the lifecycle of the component.

Abstract: An apparatus for evaluating hostile force activities includes: (a) a data storage device configured for identifying associative memory relations among information aspects stored in the data storage device; (b) a query device coupled with the data storage device; the query device being configured for posing queries relating to at least one of the information aspects and the associative memory relations to obtain at least one query result; and (c) an activity parsing unit coupled with at least one of the data storage device and the query device. The activity parsing unit is configured to receive information relating to the hostile force activities and is configured to effect identification of features related with the hostile force activities. The features related with the hostile force activities are available for inclusion among the information aspects. The data storage device periodically effects evaluation of the associative memory relations.

Abstract: The present invention provides a computer implemented method, apparatus, and computer usable program code for identifying interchangeable parts in parts catalogs. In one illustrative embodiment, a set of catalogs is searched for first attributes for a set of parts using an intelligent agent. The intelligent agent compares the first attributes for the set of parts to a set of second attributes for a selected part. A weight is assigned to each of the first attributes based on whether each of the first attributes is correlated to an attribute in the set of second attributes. Each part in the set of parts is ranked using the weight assigned to each attribute in the first attributes. A set of interchangeable parts is identified using the ranking for each part in the set of parts.