Abstract: A method for controlling a wind turbine includes detecting, via a controller, a plurality of analytic outputs of the wind turbine from a plurality of different analytics. The method also includes analyzing, via the controller, the plurality of analytic outputs of the wind turbine. Further, the method includes generating, via the controller, at least one computer-based model of the wind turbine using at least a portion of the analyzed plurality of analytic outputs. Moreover, the method includes training, via the controller, the at least one computer-based model of the wind turbine using annotated analytic outputs of the wind turbine. As such, the method includes checking the plurality of analytic outputs for anomalies using the at least one computer-based model. Accordingly, the method includes implementing a control action when at least one anomaly is detected.

Abstract: A method for controlling a wind turbine includes detecting a plurality of analytic outputs relating to power performance of the wind turbine from a plurality of different analytics. The method also includes analyzing the plurality of analytic outputs relating to power performance of the wind turbine. Further, the method includes generating at least one computer-based model of the power performance of the wind turbine using at least a portion of the analyzed plurality of analytic outputs. Moreover, the method includes training the computer-based model(s) of the power performance of the wind turbine using annotated analytic outputs relating to the power performance of the wind turbine. In addition, the method includes estimating a power magnitude of the wind turbine using the machine-learned computer-based model(s). As such, the method includes implementing a control action when the power magnitude of the wind turbine is outside of a selected range.

Abstract: A method for controlling a wind turbine includes detecting a plurality of analytic outputs relating to power performance of the wind turbine from a plurality of different analytics. The method also includes analyzing the plurality of analytic outputs relating to power performance of the wind turbine. Further, the method includes generating at least one computer-based model of the power performance of the wind turbine using at least a portion of the analyzed plurality of analytic outputs. Moreover, the method includes training the computer-based model(s) of the power performance of the wind turbine using annotated analytic outputs relating to the power performance of the wind turbine. In addition, the method includes estimating a power magnitude of the wind turbine using the machine-learned computer-based model(s). As such, the method includes implementing a control action when the power magnitude of the wind turbine is outside of a selected range.

Abstract: A system and method include receiving data elements associated with optimizing a work scope associated with a repair to a first component of a plurality of components of a piece of equipment associated with a system; assigning each component to a group; creating at least one sub-group for each group, wherein each sub-group is a first level sub-group; and recursively generating at least one additional sub-group for each sub-group until a recursion stop point is achieved, wherein each additional sub-group is a second level sub-group and without calculating a life-cycle cost for a path from the group to a last sub-group generated at the recursion stop point. Numerous other aspects are provided.

Abstract: The subject matter disclosed herein relates to patient imaging systems, and more specifically, to portable X-ray imaging systems. In a first embodiment, a patient imaging system is presented. The patient imaging system includes an X-ray source configured to emit X-rays and a wireless X-ray detector configured to detect the emitted X-rays and acquire patient image data. The patient imaging system also includes an acquisition control system configured to initialize and prepare the patient imaging system for X-ray emission and detection. The acquisition control system is also configured to receive the acquired patient image data from the X-ray detector, and to non-deterministically control the operation of the X-ray source and the wireless X-ray detector.

Abstract: The present disclosure relates to the use of both semantic analysis and statistical text mining to process data records, improving the completeness and accuracy of records so processed. By way of example, a data record may be iteratively processed by text mining using seeds derived from a semantic template and by validating the results based on semantic reasoning based on the semantic template.

Abstract: A system for distributed computing includes a job scheduler module configured to identify a job request including request requirements and comprising one or more individual jobs. The system also includes a resource module configured to determine an execution set of computing resources from a pool of computing resources based on the request requirements. Each computing resource of the pool of computing resources has an application programming interface. The pool of computing resources comprises public cloud computing resources and internal computing resources. The system further includes a plurality of interface modules, where each interface module is configured to facilitate communication with the computing resources using the associated application programming interface.

Abstract: The subject matter disclosed herein relates to patient imaging systems, and more specifically, to portable X-ray imaging systems. In a first embodiment, a patient imaging system is presented. The patient imaging system includes an X-ray source configured to emit X-rays and a wireless X-ray detector configured to detect the emitted X-rays and acquire patient image data. The patient imaging system also includes an acquisition control system configured to initialize and prepare the patient imaging system for X-ray emission and detection. The acquisition control system is also configured to receive the acquired patient image data from the X-ray detector, and to non-deterministically control the operation of the X-ray source and the wireless X-ray detector.

Abstract: Certain embodiments of the present invention provide systems and methods for information composition and query enhancement. Certain embodiments provide an information composition and query enhancement system. The system includes a query generation and enhancement engine generating and conducting a query of one or more data sources based on user input and a data context to produce query results. The system also includes an information composition engine assembling the query results to provide a bundle of documents meaningful to the particular user. The system further includes a document summarization engine clustering and summarizing the bundle of documents to provide a content summary in addition to the bundle of documents for output in a presentation to a user.

Abstract: Systems and methods for airspace demand prediction with improved sector level demand prediction are provided. In one embodiment, an air traffic demand prediction system (10) operable to predict demand within an airspace divided into sectors includes an expanded route predictor (14) operable to generate predicted two-dimensional expanded route information (40) associated with at least one requested flight (34), a trajectory modeler (16) operable to generate predicted four-dimensional expanded route information (46), a sector crossing predictor (18) operable to generate predicted sector crossing information (48), a departure time predictor (22) operable to generate predicted departure time information (54), and a demand modeler (62) operable to generate a demand model (28), the demand model (28) including predicted time intervals associated with the at least one requested flight indicating when it is expected to be present within one or more sectors of the airspace.

Abstract: Systems and methods for airspace demand prediction with improved sector level demand prediction are provided. In one embodiment, an air traffic demand prediction system (10) operable to predict demand within an airspace divided into sectors includes an expanded route predictor (14) operable to generate predicted two-dimensional expanded route information (40) associated with at least one requested flight (34), a trajectory modeler (16) operable to generate predicted four-dimensional expanded route information (46), a sector crossing predictor (18) operable to generate predicted sector crossing information (48), a departure time predictor (22) operable to generate predicted departure time information (54), and a demand modeler (62) operable to generate a demand model (28), the demand model (28) including predicted time intervals associated with the at least one requested flight indicating when it is expected to be present within one or more sectors of the airspace.