Abstract: Provided is a method and a cost analysis system for detecting anomalous costs signals associated with components of a system. The method includes receiving real-time data stream, performing pre-processing operations including sorting data from data stream received into data subsets as user-defined, processing, via a processing module, the data subsets using a rule set, and determining whether cost change has occurred. If cost change has occurred, storing and archiving cost change data associated with the cost change in a cost database, receiving user input and generating, via a visualization tool, one or more reports showing the cost change data and automatically generating a real-time notification of cost change data, and performing post-processing operations comprising creating new data set including any post-shift data, and resetting applicable data to only consider data after a last change date, and transmitting to processing module for further processing.

Abstract: An artificial intelligence based system facilitating improvement of aircraft operation and maintenance. The system can operate on both historical and real-time data to enable proactive cost control. Deep learning can be applied to forecast workscope and generate suggestions for improvement of aircraft operation and maintenance.

Abstract: A method, system, and computer usable program product for latch clustering with proximity to local clock buffers (LCBs) where an algorithm is used to cluster a plurality of latches into a first plurality of groups in an integrated circuit. A number of groups in the first plurality of groups of clustered latches is determined. A plurality of LCBs are added where a number of added LCBs is the same as the number of groups in the first plurality of groups. A cluster radius for a subset of the first plurality of groups of clustered latches is determined, a group in the subset having a cluster radius that is a maximum cluster radius in the subset. The plurality of latches are reclustered into a second plurality of groups responsive to the maximum cluster radius exceeding a radius threshold, the second plurality of groups exceeding the first plurality of groups by one.

Abstract: A method, system, and computer usable program product for latch clustering with proximity to local clock buffers (LCBs) where an algorithm is used to cluster a plurality of latches into a first plurality of groups in an integrated circuit. A number of groups in the first plurality of groups of clustered latches is determined. A plurality of LCBs are added where a number of added LCBs is the same as the number of groups in the first plurality of groups. A cluster radius for a subset of the first plurality of groups of clustered latches is determined, a group in the subset having a cluster radius that is a maximum cluster radius in the subset. The plurality of latches are reclustered into a second plurality of groups responsive to the maximum cluster radius exceeding a radius threshold, the second plurality of groups exceeding the first plurality of groups by one.

Abstract: A method, system, and computer usable program product for latch clustering with proximity to local clock buffers (LCBs) where an algorithm is used to cluster a plurality of latches into a first plurality of groups in an integrated circuit. A number of groups in the first plurality of groups of clustered latches is determined. A plurality of LCBs are added where a number of added LCBs is the same as the number of groups in the first plurality of groups. A cluster radius for a subset of the first plurality of groups of clustered latches is determined, a group in the subset having a cluster radius that is a maximum cluster radius in the subset. The plurality of latches are reclustered into a second plurality of groups responsive to the maximum cluster radius exceeding a radius threshold, the second plurality of groups exceeding the first plurality of groups by one.