Abstract: Technologies are generally described for a system to extract description of reference numerals in images and facilitate keyword-based search in images. In various examples, the system may include one or more databases, a computer readable memory, and one or more processors. The system may be configured to extract one or more reference numerals from an image, and identify and extract corresponding description of the one or more reference numerals from a description document corresponding to the image. The system may be further configured to extract text from the images, and store the images in a database with the extracted data, i.e., text, reference numerals, and corresponding descriptions.

Abstract: A multi-seal coupling for fluidly interconnecting a first component and a second component within a hydrogen fuel supply system of a gas turbine engine includes a female joint portion and a male joint portion. A first seal, a second seal and a third seal, all of which are hydrogen fuel seals, are formed between the male joint portion and the female joint portion. The first seal is formed by face-to-face abutting contact between a first axially-facing surface of the male joint portion and an axially-facing surface of the female joint portion. The second seal is formed by a gasket axially compressed between the first axially-facing surface of the male joint portion and the female joint portion. The third seal is formed by a sealant ring disposed between a second axially-facing surface of the male joint portion and an adjacent surface of the female joint portion.

Abstract: A method for generating voice in an ongoing call session based on artificial intelligent techniques is provided. The method includes extracting a plurality of features from a voice input through an artificial neural network (ANN); identifying one or more lost audio frames within the voice input; predicting by the ANN, for each of the one or more lost audio frames, one or more features of the respective lost audio frame; and superposing the predicted features upon the voice input to generate an updated voice input.

Abstract: Systems and methods are provided for operating a pair of earbuds based whether the earbuds are being worn by the same user or different users. In this regard, one or more processors may determine, based on sensor signals from the pair of earbuds, whether the pair of earbuds are being worn by a same user or different users. Based on determining that the pair of earbuds are being worn by the same user, the pair of earbuds may be operated in a first mode so that one or more functions are controlled based on a first set of input settings. Based on determining that the pair of earbuds are being worn by different users, the pair of earbuds may be operated in a second mode so that the one or more functions of the pair of earbuds are controlled based on a second set of input settings.

Abstract: An apparatus comprises a memory having a data cache stored therein and a control circuit operably coupled thereto. The control circuit is configured to update that data cache in accordance with a scheduled update time. In the latter regards, by one approach, the control circuit computes selected entries for the data cache prior to the scheduled update time pursuant to a prioritization scheme to provide a substitute data cache. At the scheduled update time, the control circuit switches the substitute data cache for the data cache such that data queries made subsequent to the scheduled update time access the substitute data cache and not the data cache.

Abstract: A system for value prediction for dynamic performance optimization includes a project value predictor that receives a Key Performance Indicator (KPI) and an initiative relating to an active project having a closure date. The KPI is associated with a KPI period including multiple intervals. The project value predictor operates to identify a relevant cluster of KPIs for the KPI based on historical data, forecast a future value of the KPI based on attributes/features of the KPI relative to the closure date, predict a possibility of failure of the KPI using a trained data model to pre-classify the KPI, categorize the KPI based on the future value or the pre-classification, where the KPI is categorized as failure based on the future value being less than a target KPI value after the KPI period and added to list for retraining the model based on the categorization. The system also leads to the identification and subsequent validation of Initiatives that impact the KPIs with quantification of the level of impact.

Abstract: In some embodiments, systems, methods, and apparatuses are provided herein useful for managing a plurality of concurrent and nearly concurrent data requests within a computer system. The systems have a main data storage for storing source data, and a high speed, and/or remote data storage for storing computed data. In some embodiments, a combination of data filters and distributed mutex processes are used to eliminate or limit duplicate reads and writes into the high speed data storage units by ensuring only a single service module gets a lock to do the read and update of the cache; and makes it possible for keys to expire and be removed from the data filter. The systems and methods herein have various applications including retail sales environments where the requested data is related to product sales, product availability and the like.

Abstract: A system for value prediction for dynamic performance optimization includes a project value predictor that receives a Key Performance Indicator (KPI) and an initiative relating to an active project having a closure date. The KPI is associated with a KPI period including multiple intervals. The project value predictor operates to identify a relevant cluster of KPIs for the KPI based on historical data, forecast a future value of the KPI based on attributes/features of the KPI relative to the closure date, predict a possibility of failure of the KPI using a trained data model to pre-classify the KPI, categorize the KPI based on the future value or the pre-classification, where the KPI is categorized as failure based on the future value being less than a target KPI value after the KPI period and added to list for retraining the model based on the categorization. The system also leads to the identification and subsequent validation of Initiatives that impact the KPIs with quantification of the level of impact.

Abstract: Systems, devices, and methods for resetting a current password of a memory device or a memory card system. The method includes receiving a data block including a content field, a combined password length of a user-defined current password and a new password, and a user-defined password length of the new password. The content field includes the user-defined current password and the new password. The method also includes determining a system calculated password length of the new password based at least on the combined password length and a length of the current password. The method further includes matching the system calculated password length and the user-defined password length and comparing the user-defined current password with the current password. The method also includes replacing or resetting the current password with the new password based on a result of the matching and a result of the comparing.

Abstract: In some embodiments, systems, methods, and apparatuses are provided herein useful for managing a plurality of concurrent and nearly concurrent data requests within a computer system. The systems have a main data storage for storing source data, and a high speed, and/or remote data storage for storing computed data. In some embodiments, a combination of data filters and distributed mutex processes are used to eliminate or limit duplicate reads and writes into the high speed data storage units by ensuring only a single service module gets a lock to do the read and update of the cache; and makes it possible for keys to expire and be removed from the data filter. The systems and methods herein have various applications including retail sales environments where the requested data is related to product sales, product availability and the like.

Abstract: A fuel supply system for a gas turbine engine comprises a housing having a housing interior chamber and a fuel swirler disposed inside the housing interior chamber. The fuel swirler has an upstream end and downstream end relative to a fuel flow direction along a fuel nozzle longitudinal axis. The fuel swirler has a first axial fuel passage along the longitudinal axis in fluid communication with a first fuel supply and terminating at a first fuel outlet at the downstream end, a second axial fuel passage along the longitudinal axis in fluid communication with a second fuel supply and terminating at a second fuel outlet at the downstream end, and a plurality of compressed air outlets at the downstream end. The first fuel outlet is positioned on an outermost surface of the fuel swirler and leads directly to a mixing site downstream of the fuel swirler.

Abstract: Technologies are generally described for a system to extract description of reference numerals in images and facilitate keyword-based search in images. In various examples, the system may include one or more databases, a computer readable memory, and one or more processors. The system may be configured to extract one or more reference numerals from an image, and identify and extract corresponding description of the one or more reference numerals from a description document corresponding to the image. The system may be further configured to extract text from the images, and store the images in a database with the extracted data, i.e., text, reference numerals, and corresponding descriptions.