Abstract: An information handling system generates a tree of peripheral component interconnect devices of the information handling system, and determines a count of storage controllers supported by a storage miniport driver based on the tree of the peripheral component interconnect devices. If a list of uninstalled miniport drivers is not empty, then the system deducts a number of the uninstalled miniport drivers in the list from the count of the storage controllers resulting in a final count of the storage controllers that are supported by the storage miniport driver.

Abstract: In a Fluid Catalytic Cracker (FCC) unit being operated in petrochemical mode that has an increased dry gas and LPG production that creates a bottleneck in product flow, a method for full or partial separation of light gas components from a wet gas compressor suction stream and routing it directly to an untreated fuel gas header using a parallel system to an existing wet gas compressor, which parallel system includes an auxiliary compressor and a membrane separation system.

Abstract: Methods and systems are provided for delimiting a gas plant during fluid catalytic cracking unit (FCCU) revamp as part of the olefin production system. These methods and system include a chiller unit in the gas concentration unit downstream of the FCCU. Other measures also include installing a stripper unit downstream of the regenerator of the FCCU or installing a quench line in a reactor of a FCCU to reduce the contact time of the hydrocarbon feedstock with the catalyst. These methods and systems may also lead to an increase in the propylene yield of the olefin production system.

Abstract: A method for monitoring operation or status of an electrical submersible pump (ESP) is provided, which includes a) collecting historical time-series data related to ESP operation: b) extracting historical time-series data related to healthy ESP operation from the historical time-series data of a): c) extracting feature data from the historical time-series data extracted in b); d) extracting or calculating values of at least one key performance indicator (KPI) related to healthy ESP operation from the historical times-series data extracted in b): c) using the feature data of c) and the values of at least one KPI of d) to train a machine learning (ML) model to predict at least one target KPI related to healthy ESP operation given feature data as input; and f) using the ML model trained in c) to monitor operation or status of the ESP. Other aspects are described and claimed.

Abstract: A biometric identification system acquires a multimodal image. The system is trained to determine three embeddings: a first embedding associated with features present in a first modality, an intersection embedding associated with features present in both the first and a second modality, and an XOR embedding associated with features that are not shared between the first modality and the second modality. Once trained, the system may process a multimodal query image to determine query embedding data. Additional information, such as minutiae depicted in the multimodal query image may also be determined. The query embedding data, and in some implementations the additional information, may be compared with enrolled embedding data associated with a previously enrolled user. If the comparison exceeds a threshold value, an identity may be asserted.

Abstract: A power bus system for supplying electric power to a load includes a first power bus circuit coupled to a first power source and including a first primary inductor, a second power bus circuit coupled to a second power source and including a second primary inductor, and a third power bus circuit coupled to the load and including a first secondary inductor electrically connected in series with a second secondary inductor. The first primary inductor and the first secondary inductor are arranged as a first transformer, the second primary inductor and the second secondary inductor are arranged as a second transformer, and the first power bus circuit is electrically isolated from the second power bus circuit.

Abstract: Expression cassettes, plant cells, plant seeds, plants, and methods for modulating lipid content of seeds and growth of such plants. The expression cassette comprises a promoter operably linked to a nucleic acid segment encoding a polypeptide for MYBS2, bHLH093, ATHB25, DiV2, CESTA1, TGA4, SPL12, or AGL18, or a combination of two, three, four, five, six, seven or all thereof.

Abstract: According to an aspect there is provided a computer-implemented method of operating a register node (300; 705) in a communication network. The method comprises maintaining (801) a first list of identifiers of wireless devices (701) for which a notification has been requested when the wireless device (701) connects 5 to the communication network; receiving (803) a check request from a mobility management node (703) in the communication network, the check request comprising a first identifier of a wireless device (701) that is requesting access to the communication network; determining (805) if the first identifier is in the first list of identifiers; and, if the first identifier is in the first list of identifiers, sending (807) a notification to a client node (400; 708, 709) that is external to the communication network, the notification indicating that a wireless device 0 (701) having the first identifier is connecting to the communication network.

Abstract: An apparatus comprises a first layer comprising a first dielectric material, and first and second regions on a first side of the first layer. The first regions comprise a first surface in a first plane, and each of the second regions comprise a second surface in a second plane spaced away from the first plane by a first distance. Sidewalls extend between the first surface and the second surfaces. The apparatus further comprises a plurality of conductive features, each conductive feature comprising a bottom surface on one of the second surfaces, and a barrier film comprising a second dielectric material that contacts the sidewalls.

Abstract: An apparatus for communication with a plurality of devices using time divisional multiple access (TDMA) is described. The apparatus includes processing circuitry configured to for a particular duration, scan a first channel for one or more data packets being transmitted over the first channel to determine if the apparatus is experiencing signal interference. In response to determining that the apparatus is not experiencing signal interference, the processing circuitry is configured to output a first beacon at a first time using TDMA, wherein the first time is a predefined interval amount of time after an output time of a most recent beacon previously output by the apparatus. Otherwise, the processing circuitry is configured to output the first beacon at a second time using TDMA, wherein the second time comprises the first time plus-or-minus a time shift period.

Abstract: A method can include receiving real-time, time series data from equipment at a wellsite that includes a wellbore in contact with a fluid reservoir; processing the time series data as input to a trained machine learning model to predict a future solids event related to influx of solids into the wellbore from the fluid reservoir; and outputting a time of the future solids event.

Abstract: The disclosure relates to a method for creating an improved forecasting model. The method includes identifying a plurality of drivers affecting actual sales or demand of a product or service; receiving a respective data set for each of the drivers; generating one or more lagged data sets for each driver by applying lags to the data set associated with the driver; for each driver: forming a group of data sets by grouping the data set associated with the driver with the lagged data sets for the driver; and selecting a data set in the group of data sets that best correlates with sales or demand changes of the product or service; determining which one or more of the selected data sets for the drivers increases forecasting accuracy for sales or demand of the product or service; and training a forecasting model using the one or more selected data sets.

Abstract: Methods and systems for alkylate production involving a multi-zone alkylation reactor. The multi-zone alkylation reactor includes a plurality of alkylation zones spaced vertically in a series configuration and a partition splitting the plurality of alkylation zones into at least two mechanically separated catalytic volumes.

Abstract: This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, a device may detect a portion of a user, such as a hand. The device may then display a first graphical element indicating a target location for placing the portion of the user above the user-recognition device. Additionally, the device may determine locations of the portion of the user above the device. The device may then display a second graphical element indicating the locations, such as when the locations are not proximate to the target location. Additionally, the device may display instructions for moving the portion of the user to the target location. Based on detecting that the location of the portion of the user is proximate to the target location, the device may send data representing the portion of the user to a remote system.

Abstract: Systems and methods for providing resilient persistent connections for communication are disclosed. Methods include identifying, at a first device, a second device registered with a client connection service; obtaining, from the client connection service, a first resource identifier for delivering request messages to the second device via the client connection service; identifying, based on the obtained first resource identifier, a first target resource for a first request message directed to the second device, wherein the first target resource specifies a first host included in the client connection service; sending, to the client connection service via the data communication network, the first request message to the first target resource for delivery to the second device by the client connection service; and receiving, from the client connection service via the data communication network, a first response message provided by the second device as a response to the first request message.

Abstract: A neural network is trained to process input data and generate a classification value that characterizes the input with respect to an ordered continuum of classes. For example, the input data may comprise an image and the classification value may be indicative of a quality of the image. The ordered continuum of classes may represent classes of quality of the image ranging from “worst”, “bad”, “normal”, “good”, to “best”. During training, loss values are determined using an ordered classification loss function. The ordered classification loss function maintains monotonicity in the loss values that corresponds to placement in the continuum. For example, the classification value for a “bad” image will be less than the classification value indicative of a “best” image. The classification value may be used for subsequent processing. For example, biometric input data may be required to have a minimum classification value for further processing.

Abstract: Processes and systems for fluid catalytic cracking (FCC) of hydrocarbon feeds using a multiple riser FCC reactor are described. The conditions in each riser can be tailored for handling a different feed. For example, one riser may be configured to crack heavy hydrocarbons, such as vacuum gas oil (VGO) to yield medium and light products. Other risers may be configured to crack low and/or medium hydrocarbons to yield light olefins. Embodiments of the disclosed processes and systems may be used to provide a product spectrum that has greater amounts of light olefins.

Abstract: Biometric input, such as an image of a hand, may be processed to determine embedding vector data that may be used to identify users. Accuracy of the identification is improved by using high resolution inputs to a deep convolutional neural network (DCNN) that is trained to generate the embedding vector data that is representative of features in the input. Training data sets are expensive to develop and thus may be relatively small. During training of the DCNN, confidence loss values corresponding to the entire input as well as particular patches or portions of the input are determined. These patch-wise confidence loss values mitigate potential overfitting during training of the DCNN and improve overall performance of the trained DCNN to determine embedding vector data suitable for identification.

Abstract: A system for scanning an object 112 is provided. The system includes a continuous conveyor belt 102, a first electromagnetic radiation sensor 104, a second electromagnetic radiation sensor, a tunnel 106, an electromagnetic radiation generator 108, a third electromagnetic radiation sensor, a fourth electromagnetic radiation sensor 110 and a processor. The continuous conveyor belt 102 receives the object 112 and moves the object 112 in forward direction. The first electromagnetic radiation sensor scans the object 112 that is travelling through the continuous conveyor belt 102. The tunnel 106 receives the object 112 from the continuous conveyor belt 102 after scanned through the first electromagnetic radiation sensor 104. The second electromagnetic radiation sensor is positioned inside the tunnel 106 at entry point. The electromagnetic radiation generator 108 receives a second signal from the second electromagnetic radiation sensor to generate an angular beam of electromagnetic radiation on the object 112.

Abstract: An apparatus includes processing circuitry configured to output, to a plurality of devices, an initial superframe configured in an initial superframe mode of a plurality of superframe modes. Each superframe mode of the plurality of superframe modes allocating each slot of a plurality of slots for wireless communication to a first protocol, a second protocol, or a third protocol. In response to determining a change in bandwidth, the processing circuitry is configured to select an updated superframe mode from the plurality of superframe modes. The processing circuitry is further configured to output, to the plurality of devices, an updated superframe configured in the updated superframe mode.