Abstract: Persistent storage may contain: (i) an explicit configuration item table with entries of explicit configuration items representing hardware devices and executable software applications deployed on the hardware devices, (ii) an implicit configuration item table with entries of implicit configuration items representing units of source code, wherein at least some of the executable software applications are compiled versions of the units of source code, and (iii) an implicit relationship table associating pairs of the configuration items.

Abstract: Persistent storage may contain: (i) an explicit configuration item table with entries of explicit configuration items representing hardware devices and executable software applications deployed on the hardware devices, (ii) an implicit configuration item table with entries of implicit configuration items representing units of source code, wherein at least some of the executable software applications are compiled versions of the units of source code, and (iii) an implicit relationship table associating pairs of the configuration items.

Abstract: Persistent storage may contain: (i) an explicit configuration item table with entries of explicit configuration items representing hardware devices and executable software applications deployed on the hardware devices, (ii) an implicit configuration item table with entries of implicit configuration items representing units of source code, wherein at least some of the executable software applications are compiled versions of the units of source code, and (iii) an implicit relationship table associating pairs of the configuration items.

Abstract: A real-time on board engine component performance tracking system for deriving high fidelity engine models capable of providing a reference level from which performance changes can be trended with reduced operating cost, increased safety, and increased reliability while minimizing memory requirements and maximizing speed.

Abstract: A real-time on board engine component performance tracking system for deriving high fidelity engine models capable of providing a reference level from which performance changes can be trended with reduced operating cost, increased safety, and increased reliability while minimizing memory requirements and maximizing speed.

Abstract: A method for modeling engine operation comprising the steps of: 1. collecting a first plurality of sensory data, 2. partitioning a flight envelope into a plurality of sub-regions, 3. assigning the first plurality of sensory data into the plurality of sub-regions, 4. generating an empirical model of at least one of the plurality of sub-regions, 5. generating a statistical summary model for at least one of the plurality of sub-regions, 6. collecting an additional plurality of sensory data, 7. partitioning the second plurality of sensory data into the plurality of sub-regions, 8. generating a plurality of pseudo-data using the empirical model, and 9. concatenating the plurality of pseudo-data and the additional plurality of sensory data to generate an updated empirical model and an updated statistical summary model for at least one of the plurality of sub-regions.

Abstract: A method for modeling engine operation comprising the steps of: 1. collecting a first plurality of sensory data, 2. partitioning a flight envelope into a plurality of sub-regions, 3. assigning the first plurality of sensory data into the plurality of sub-regions, 4. generating an empirical model of at least one of the plurality of sub-regions, 5. generating a statistical summary model for at least one of the plurality of sub-regions, 6. collecting an additional plurality of sensory data, 7. partitioning the second plurality of sensory data into the plurality of sub-regions, 8. generating a plurality of pseudo-data using the empirical model, and 9. concatenating the plurality of pseudo-data and the additional plurality of sensory data to generate an updated empirical model and an updated statistical summary model for at least one of the plurality of sub-regions.

Abstract: Automated methods and systems for the detection and analysis of plaque in one or more regions of a patient's vasculature are described.