Abstract: Disclosed is a computer-implemented method for maintenance planning for an aircraft. The method includes retrieving, via a processor, a data transmission comprising a plurality of component faults from an aircraft processor while the aircraft is in flight. The processor executes, using a prediction engine, a predictive fault list based on the component faults. The predictive fault list includes a plurality of weighted predictions of authentic component faults and nuisance component faults. The processor prioritizes the weighted predictions of authentic component faults, and generates a maintenance checklist prioritized based on the weighted prediction of authentic component faults. The processor then outputs the prioritized maintenance checklist on an operatively connected maintenance planning device.

Abstract: Systems, methods, and computer storage media for discovering authoritative images of people entities are provided. Selections of person entities are received. Authoritative URLs and authoritative images for the person entities are identified. Once the authoritative images are identified, features are extracted. Queries for the person entities are identified by mining search engine logs. The queries and features can be utilized to construct candidate queries to identify and retrieve candidate image URLs. Candidate features are extracted for each candidate image associated with the candidate image URLs. Training data may be utilized to train a classifier that can be run on each candidate image. Each candidate image can then be tagged with an entity ID tag. Images with the entity ID tag can be ranked higher in search engine results page than images without the entity ID tag.

Abstract: Disclosed is a computer-implemented method for maintenance planning for an aircraft. The method includes retrieving, via a processor, a data transmission comprising a plurality of component faults from an aircraft processor while the aircraft is in flight. The processor executes, using a prediction engine, a predictive fault list based on the component faults. The predictive fault list includes a plurality of weighted predictions of authentic component faults and nuisance component faults. The processor prioritizes the weighted predictions of authentic component faults, and generates a maintenance checklist prioritized based on the weighted prediction of authentic component faults. The processor then outputs the prioritized maintenance checklist on an operatively connected maintenance planning device.

Abstract: Systems, methods, and computer storage media for discovering authoritative images of people entities are provided. Selections of person entities are received. Authoritative URLs and authoritative images for the person entities are identified. Once the authoritative images are identified, features are extracted. Queries for the person entities are identified by mining search engine logs. The queries and features can be utilized to construct candidate queries to identify and retrieve candidate image URLs. Candidate features are extracted for each candidate image associated with the candidate image URLs. Training data may be utilized to train a classifier that can be run on each candidate image. Each candidate image can then be tagged with an entity ID tag. Images with the entity ID tag can be ranked higher in search engine results page than images without the entity ID tag.

Abstract: A supply chain (or other process) visibility solution combines RFID technology with a data visibility architecture to provide real-time or near real-time supply chain information at various stages of the supply chain (or other process). The system uses a data gathering architecture which collects data from multiple sources about an object. The sources of data include RFID tags, scanners and manual input. The data from the RFID tags is used to correlate the gathered data to attributes associated with the object (e.g., name, description or price). The gathered data and attributes are stored in a data store according to a customizable schema and published for consumption by one or more business processes.

Abstract: A supply chain (or other process) visibility solution is disclosed that combines RFID technology with a data visibility architecture to provide real-time or near real-time supply chain information at various stages of the supply chain (or other process). The system uses a data gathering architecture which collects data from multiple sources about an object. The sources of data include RFID tags, scanners and manual input. The data from the RFID tags is used to correlate the gathered data to attributes associated with the object (e.g., name, description or price). The gathered data and attributes are stored in a data store according to a customizable schema and published for consumption by one or more business processes.