Abstract: Methods and apparatus for managing fluid flow in pipes. An exemplary method includes initializing models of at least two fluid pads and one or more pipe elements, the models of the fluid pads comprising material points; for each of the material points, determining: an integration weight; and a material state; (a) for each of the fluid pads, discretizing governing fluid flow equations on a numerical grid, wherein the numerical grid is constrained within the pipe elements; (b) solving the discretized equations to generate nodal solutions; (c) constructing material point solutions from the nodal solutions; and until end criteria are met: updating the models of the fluid pads with the material point solutions; and repeating (a)-(c). An exemplary fluid flow data analysis system includes a processor and a display configured to display graphical representations of a fluid flow model, wherein the system is configured to manage fluid flow in pipes.

Abstract: Methods, systems, and computing platforms for mobile data communication are disclosed. Processor(s) may be configured to electronically receive a plurality of user mobile interaction data to initiate a session on processing server. The processor(s) may be configured to electronically process the user mobile interaction data with AI including predefined user activity data for actions. The processor(s) may be configured to electronically determine whether one of more of the user mobile voice data samples includes a session key data command and responsive to the session key data command, electronically initiating a biometric authentication of the user mobile voice data samples. In some implementations, the system processor(s) may be configured to electronically initiate a second computing session for the computer platform while receiving the plurality of user mobile interaction voice data.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for utilizing resources from multiple sources to complete a resource distribution. The invention may receive a distribution request from an entity, where the distribution request includes information identifying a first resource distribution device provided by a user to the entity, a first source associated with the user, and a request amount of resources. The invention may determine whether the requested amount of resources is greater than a first amount of resources in the first source, determine whether the first resource distribution device is associated with one or more other sources associated with the user, and determine whether a sum of the first amount of resources in the first source and a second amount of resources in the one or more other sources is greater than or equal to the requested amount of resources.

Abstract: Embodiments of the invention are directed to a system, method, and computer program product for calibrating a brain activity morning system. The system may receive a transmission that indicates a user desires to calibrate a brain activity measuring device. The system may determine a calibration procedure appropriate for the user. The system can also store one or more settings based on the calibration procedure.

Abstract: Systems and methods for managing a list or restoration paths are provided. A method, according to one implementation, includes obtaining a list of restoration paths used for restoring transmission in a network when a home path between an originating node and a termination node is unavailable. The restoration paths are listed in a specific order based on ongoing transmission costs, where the ongoing transmission cost for each restoration path is based on characteristics associated with transmitting signals along the respective restoration path. The method also includes the step of reordering the restoration paths in the list based on restoration costs and the ongoing transmission costs. The restoration cost for each restoration path is based on a procedure for switching from the home path to the respective restoration path.

Abstract: Systems, computer program products, and methods are described herein for dynamic resource allocation based on vehicle route selection. The present invention is configured to receive an origin and a destination for a user; determine travel routes for the user; determine resource distribution entities along the one or more travel routes; determine resources associated with the resource distribution entities; display the travel routes, the resource distribution entities along each of the travel routes, and the resources associated with each of the resource distribution entities; receive a user selection of at least one of the travel routes; and distribute the resources to the computing device of the user along the at least one of the one or more travel routes selected by the user.

Abstract: Apparatus and methods for a payment instrument are provided. The apparatus may include a primary chip positioned on an outer face of the payment instrument and a power source. The apparatus may include a first supplementary chip, a second supplementary chip, and a third supplementary chip. Each of the first, second and third supplementary chips may be positioned within a thickness of the payment instrument and configured to draw power from the power source.

Abstract: A device may receive source code from a source data structure, and may receive information associated with a target data structure. The device may analyze the source code to extract statements, and may utilize natural language processing on the statements to identify functions and keywords associated with the source data structure. The device may train a machine learning model with the functions and the keywords to generate a trained machine learning model, and may process the information associated with the target data structure, with the trained machine learning model, to transform a source query to a target query compatible with the target data structure. The device may process the target query, with a neural network model, to generate an optimized target query, and may cause data from the source data structure to be migrated to the target data structure based on the optimized target query.

Abstract: The current disclosure relates to methods and compositions for improving plant varieties through plant breeding and plant genetics. For instance, the disclosure concerns increasing the recombination frequency of a heterozygous trait genetically linked to a second trait within plants. Further, the disclosure concerns breaking the genetic linkage between a first allele and a second allele.

Abstract: Systems and methods for managing a list or restoration paths are provided. A method, according to one implementation, includes obtaining a list of restoration paths used for restoring transmission in a network when a home path between an originating node and a termination node is unavailable. The restoration paths are listed in a specific order based on ongoing transmission costs, where the ongoing transmission cost for each restoration path is based on characteristics associated with transmitting signals along the respective restoration path. The method also includes the step of reordering the restoration paths in the list based on restoration costs and the ongoing transmission costs. The restoration cost for each restoration path is based on a procedure for switching from the home path to the respective restoration path.

Abstract: Systems for optimized forecasting are provided. In some examples, data associated with strategy of one or more business units may be received. The strategy data may include identification of projects or goals. In some examples, industry trend data may be received and may include data associated with in-demand job skills and the like. An instruction to capture user data may be transmitted to one or more user devices of an employee user. The instruction may cause activation of one or more sensors or data capture devices. The captured user data may be received and analyzed to determine a competency of the user. Based on the strategy data, industry data and determined competency, one or more deficiencies between the resources needed to meet the business unit strategy data and the available resources may be identified. Based on the identified deficiency, one or more actions for execution may be identified and executed.

Abstract: Systems and methods for utilizing backup paths to restore service in a network are provided. A method, according to one implementation, includes obtaining a route list as defined by a user, the route list including a plurality of explicitly-configured backup routes for restoring service between a source node and a destination node in a network when a working route is unavailable. The method also includes receiving input designating one or more of the explicitly-configured backup routes as one or more last-resort routes. In response to determining that the working route is unavailable and that the plurality of explicitly-configured backup routes, excluding the one or more last-resort routes, are unavailable, the method includes automatically computing one or more implicitly-computed backup routes.

Abstract: Systems for performing intelligent interactive voice recognition functions are provided. In some aspects, natural language data may be received from a plurality of users. The natural language data may be used to train a machine learning model. After training the machine learning model, additional or subsequent natural language input data may be received. The natural language data may include a user query, such as a request to obtain information from the system, to process a transaction, or the like. The natural language data may be processed to remove noise associated with the audio data. The data may then be further processed using the machine learning model to interpret the query of the user and generate an output. The output may be transmitted to the user and feedback data may be received from the user. The user-specific machine learning dataset may then be validated and/or updated based on the feedback data.

Abstract: Systems for performing intelligent interactive voice recognition functions are provided. In some aspects, natural language data may be received from a plurality of users. The natural language data may be used to generate a plurality of user-specific machine learning datasets. Subsequent natural language input data including a user query may be received. The query may be analyzed to identify the user and a user-specific machine learning dataset associated with the user may be identified. The natural language data may be processed to remove noise associated with the data and may be further processed using the identified user-specific machine learning dataset to interpret the query of the user and generate an output. The output may be transmitted to the user and feedback data may be received from the user. The user-specific machine learning dataset may then be validated and/or updated based on the feedback data.

Abstract: In one aspect, a process for position estimation entails obtaining (a) at least one direct distance estimate corresponding to a distance between one or more intervening devices, (b) at least one direct angle estimate corresponding to a spanning angle formed involving the one or more intervening devices, or both (a) and (b). Based on (a) the at least one direct distance estimate corresponding to the distance between devices including the one or more intervening devices, (b) the at least one direct angle estimate corresponding to the spanning angle formed involving the one or more intervening devices, or both (a) and (b), an indirect distance estimate between a first device and a second device or an indirect angle estimate involving the first device and the second device is determined. The first device and the second device may be out of range with respect to one another for a direct distance measurement.

Abstract: Generally described, one or more aspects of the present application correspond to techniques for creating encrypted block store volumes of data from unencrypted object storage snapshots of the volumes. These encryption techniques use a special pool of servers for performing the encryption. These encryption servers are not accessible to users, and they perform encryption and pass encrypted volumes to other block store servers for user access. The encryption context for the volumes can be persisted on the encryption severs for as long as needed for encryption and not shared with the user-facing servers in order to prevent user access to encryption context.

Abstract: A network-on-chip (NoC) system includes a default communication path between a master device and a slave device, and a backup communication path between the master device and the slave device. The default communication path is configured to work in a normal operation state of the chip. The backup communication path is configured to replace the default communication path when a fault arises in the default communication path.

Abstract: Systems for contactless event processing are provided. In some examples, functionality of a self-service kiosk may be requested. In response, a user may be authenticated and a first interactive user interface may be generated and displayed by the self-service kiosk. A user may capture an image of the generated first interactive user interface displayed by the self-service kiosk using, for instance, an image capture device of a user computing device. The captured image may be displayed by a display of the user computing device and the user may provide user input to the user computing device selecting a displayed option. The user input may be processed and mapped to functionality associated with the self-service kiosk. Based on the mapping, one or more instructions or commands may be generated and transmitted to the self-service kiosk. The self-service kiosk may execute the instructions or commands to execute the requested functionality.

Abstract: Aspects of the disclosure relate to identification of confidential data, in a message, and encryption of the confidential data. A computing platform may determine, based on a knowledge base, confidential data in a first message transmitted over one or more computing networks. The computing platform may encrypt the confidential data in the message. The computing platform may generate a second message based on encrypted confidential data. Further, the computing platform may update a header, corresponding to the second message, to indicate an encryption technique used for the encrypted confidential data. The computing platform may further encrypt the header of the second message, and transmit the second message.

Abstract: Systems, methods and apparatus are provided for a Dynamic Group Session Data Access Protocol. The system may monitor participant input in a group interactive session. The system may be trained to monitor and understand the group environment and predict intent of the participant discussion and may predict relevant data. The system may be used by a single participant or by multiple participants. The system may determine the access level of the participants. The system may determine the access level of the data. The system may compare the access level of the participants with the access level of the data. The system may dynamically mask the data if the access level of the participants does not match the access level of the data. The system may create customized views of the data for each participant based on the participant's access level and the access level of the data.