Abstract: System and methods for tuning equation of state (EOS) characterizations are presented. Pressure-volume-temperature (PVT) data is obtained for downhole fluids within a reservoir formation. A component grouping for an EOS model of the downhole fluids is determined, based on the obtained PVT data. The component grouping is used to estimate properties of the downhole fluids for a current stage of a downhole operation within the formation. A machine learning model is trained to minimize an error between the estimated properties and actual fluid properties measured during the current stage of the operation, where the component grouping for the EOS model is iteratively adjusted by the machine learning model until the error is minimized. The EOS model is tuned using the adjusted component grouping. Fluid properties are estimated for one or more subsequent stages of the downhole operation to be performed along the wellbore, based on the tuned EOS model.

Abstract: The present disclosure relates to a system and techniques for preventing corruption of snapshot data by limiting the visibility of committed data. To do this, the system may maintain an index that indicates the highest transaction identifier value such that no future commits will have a transaction identifier less than or equal to the indexed transaction identifier value. In embodiments, if a read is performed, only transactions having a transaction identifier less than or equal to the index value can be read. Each time that a transaction is committed, the index value is updated to the transaction identifier for the transaction having the highest transaction identifier without any intermediary transactions.

Abstract: A method includes obtaining information identifying transactions from multiple sources. The transactions relate to multiple functional domains of a supply chain associated with an industrial process. The method also includes storing the information in a data store according to a unified model. The method further includes providing a common user interface for different functional users. The common user interface is configured to display multiple visualizations and reports associated with the transactions. The method also includes obtaining, according to a user input at the common user interface, one or more metrics and one or more analytics from the data store. The one or more metrics and the one or more analytics are associated with the obtained information. The method also includes configuring the common user interface to display, according to the user input, at least one visualization or report involving the one or more metrics and the one or more analytics.

Abstract: A system for data migration is disclosed. The system may receive a migration request comprising a source file path and a target file location. The system may capture source file metadata based on the source file path and the migration request. The system may transfer a source file from a first data environment to an intermediate data environment via a first transfer process. The system may transfer the source file from the intermediate data environment to a second data environment via a second transfer process.

Abstract: An approach for implementing function semantic based partition-wise SQL execution and partition pruning in a data processing system is provided. The system receives a query directed to a range-partitioned table and determines if operation key(s) of the query include(s) function(s) over the table partitioning key(s). If so, the system obtains a set of values corresponding to each partition by evaluating the function(s) on a low bound and/or a high bound table partitioning key value corresponding to the partition. The system may then compare the sets of values corresponding to different partitions and determine whether to aggregate results obtained by executing the query over the partitions based on the comparison. The system may also determine whether to prune any partitions from processing based on a set of correlations between the set of values for each partition and predicate(s) of the query including function(s) over the table partitioning key(s).

Abstract: A system for providing data protection services for user data generated by an application, includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for user data based on a protection policy, in response to identifying the backup generation event, obtain user data associated with the backup generation event from the application, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, and generate a user data backup using the user data and the user metadata, in which the user data backup comprises calendar events of the calendar and portions of the user metadata associated with the calendar events.

Abstract: A spectrometer that includes: a first diffraction grating configured to spectroscopically process provided light; a first detection unit configured to condense light spectroscopically processed by the first diffraction grating and to output an electrical signal corresponding to condensed light; a second diffraction grating configured to spectroscopically process 0th order light provided by the first diffraction grating; and a second detection unit configured to condense light spectroscopically processed by the second diffraction grating and to output an electrical signal corresponding to condensed light.

Abstract: A system for providing data protection services for user data associated with calendar groups generated by an application includes persistent storage for storing user data backups and a manager. The manager is programmed to identify a backup generation event for the user data associated with a calendar group based on a protection policy, obtain user data associated with the backup generation event from the application in response to identifying the backup generation event, select a calendar of calendars included in the user data, obtain user metadata associated with the calendar, generate calendar group information associated with the calendar using the user data and the user metadata, generate a user data backup using the user data, the calendar group information, and the user metadata, in which the user data backup comprises backup data and backup metadata.

Abstract: A method for improving consensus in a blockchain network through decentralized grouping includes: identifying, by each node of a plurality of nodes in a blockchain network that manages a blockchain, a plurality of groups, where each is comprised of a subset of nodes; generating, by each node in each subset of nodes, a new block for the blockchain; performing, by each subset of nodes, a first consensus operation among all nodes in the subset of nodes for the new block generated by in the subset of nodes to identify a group consensus block, where each node in the subset of nodes receives the group's group consensus block; and performing, by the blockchain network, a second consensus operation among all groups for the identified group consensus block to identify an overall consensus block, where a majority of groups of the plurality of groups receives the overall consensus block.

Abstract: Systems for dynamically performing pattern recognition and data reconciliation functions are provided. In some examples, a system may receive data, from one or more computing systems. In some examples, one or more machine learning datasets may be used to identify datasets, data elements, or the like, for comparison. The identified datasets, data elements, and the like, may be compared to pre-stored patterns to determine whether the pattern matches a pre-stored pattern. If not, the pattern may be flagged as a new pattern and instructions for further processing may be requested. In some arrangements, the identified datasets, data elements, or the like, may be compared to determine whether a pattern and/or value of the datasets, data elements, or the like, matches. If not, one or more machine learning datasets may be used to generate a corrective action to align the data. In some examples, the generated corrective action may be automatically executed to align the data.

Abstract: Examples provide a method and system for quantitatively measuring air turbulence. A turbulence measuring application on each user device in a plurality of user devices associated with a plurality of users at a plurality of different locations within an aircraft generates vibration data and positional data associated with turbulence detected at each user's location. The data is analyzed to eliminate noise due to user movements and other non-turbulence related events. An aircraft server aggregates the vibration data and the positional data generated by the user devices scattered throughout the aircraft. The aggregated data is analyzed to eliminate noise due to non-turbulence related events to create quantitative air turbulence data. The quantitative air turbulence data generated by one or more aircraft is used with weather and other related data to generate more accurate and precise turbulence predictions for aircraft.

Abstract: Methods that expand the properties of laser-induced graphene (LIG) and the resulting LIG having the expanded properties. Methods of fabricating laser-induced graphene from materials, which range from natural, renewable precursors (such as cloth or paper) to high performance polymers (like Kevlar). With multiple lasing, however, highly conductive PEI-based LIG could be obtained using both multiple pass and defocus methods. The resulting laser-induced graphene can be used, inter alia, in electronic devices, as antifouling surfaces, in water treatment technology, in membranes, and in electronics on paper and food Such methods include fabrication of LIG in controlled atmospheres, such that, for example, superhydrophobic and superhydrophilic LIG surfaces can be obtained. Such methods further include fabricating laser-induced graphene by multiple lasing of carbon precursors. Such methods further include direct 3D printing of graphene materials from carbon precurors.

Abstract: Implementations of ground fault circuit interrupter (GFCI) self-test circuits may include: a current transformer coupled to a controller, a silicon controlled rectifier (SCR) test loop coupled to the controller, a ground fault test loop coupled to the controller, and a solenoid coupled to the controller. The SCR test loop may be configured to conduct an SCR self-test during a first half wave portion of a phase and the ground fault test loop may be configured to conduct a ground fault self-test during a second half wave portion of a phase. An SCR may be configured to activate the solenoid to deny power to a load upon one of the SCR self-test or the ground fault self-test being identified as failing.

Abstract: A storage tier manager efficiently creates different representations of a dataset backup for different retention periods. Each of the representations of the dataset backup is distinctly identifiable despite initially representing a same dataset backup. The representations are structured metadata corresponding to the dataset backup. One representation is a cached backup version of the dataset backup (“cached backup” or “cached representation”) provided for low latency access while residing at a storage tier of the backup appliance for a relatively short retention period according to a lifecycle management policy. The other representation is a cloud backup version of the dataset backup (“cloud backup” or “cloud representation”) provided for persisting into cloud storage for a longer retention period according to the lifecycle management policy.

Abstract: Implementations of fault detection circuits may include a first current transformer coupled to a second current transformer, a positive feedback circuit including the first current transformer, the second current transformer, a first switch, and one of a comparator, an amplifier, and an inverter. The circuit may also include a plurality of logic gates that may be coupled with the positive feedback circuit. The positive feedback circuit may be configured to oscillate upon detecting a ground neutral fault and to send a fault signal to the plurality of logic gates. The plurality of logic gates may be configured to analyze the fault signal and open the first switch. The plurality of logic gates may be further configured to identify whether the fault signal represents one of a true fault or a noise fault by analyzing the output of the positive feedback circuit after the first switch has been opened.

Abstract: Embodiments of the present invention provide a system for executing, securing, and non-repudiation of pooled conditional smart contracts over a distributed blockchain network. In particular, the system may receive an instrument request from a beneficiary entity, where the instrument request includes an instrument amount. The system can then identify a lead contribution amount that a lead entity is willing to provide to meet a portion of the instrument amount. A set of supporting entities can be identified as willing to provide supporting contribution amounts to meet the remainder of the instrument amount. A conditional contract can be sent to each supporting entity that, when signed, authorizes the system to transfer contribution amounts, which may be in the form of cryptocurrency, from blockchain addresses of the lead and supporting entities to a blockchain address of the beneficiary entity. Once the instrument amount has been secured, the system executes the transactions.

Abstract: A transportation management system analyzes data characterizing trips associated with an access point where a rider is picked up by, or dropped off by, a driver. The transportation management system determines trip metrics for the access point based on the data. The transportation management system identifies an access point defect for the access point using the trip metrics. The transportation management system flags the access point as associated with a missing road segment responsive to identifying the access point defect. The transportation management system performs a resolution action to address the access point defect.

Abstract: A method for processing an electronic payment transaction includes: storing an account profile including a plurality of account numbers; receiving a first authorization request for a payment transaction that includes a first account number of the plurality of account numbers, a first time, and a first location; processing the first payment transaction; receiving a second authorization request for a different transaction including a second primary account number of the plurality of account numbers, a second time, and a second location, where the second account number is associated with a different issuer than the first account number; determining a likelihood of fraud based on the first time and location and the second time and location; and forwarding the second authorization request to the different issuer if the likelihood of fraud is below a threshold, or transmitting an authorization response indicating decline if the likelihood of fraud is above the threshold.

Abstract: Data obtained by computer processing device(s) includes human biological change data from event data stream(s) and dynamic marketplaces allowing for ranking change(s). The data can correlate biological change data with ranking statistics from an event such that the correlation identifies and measures a magnitude of change of human biological responses from data acquired from event data stream(s). The correlation of human biological change data and/or dynamic changing marketplace data with ranking statistics creates object(s) for storage and analysis within database(s), wherein the objects possess time synchronized responses before, during or after events.

Abstract: A system functions to recommend consumer electronic device expansions, additions and/or substitutions; interconnections; supplemental capabilities; features; etc. based upon a knowledge of a consumer's existing audio and/or visual system configuration.